{"pageNumber":"43","pageRowStart":"1050","pageSize":"25","recordCount":40778,"records":[{"id":70263279,"text":"70263279 - 2025 - Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","interactions":[],"lastModifiedDate":"2025-02-04T14:46:30.055812","indexId":"70263279","displayToPublicDate":"2025-01-25T08:40:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","title":"Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","docAbstract":"

Wild waterfowl are considered to be the reservoir of avian influenza, but their distinct annual life cycle stages and their contribution to disease dynamics are not well understood. Studies of the highly pathogenic avian influenza (HPAI) virus have primarily focused on wintering grounds, where human and poultry densities are high year-round, compared with breeding grounds, where migratory waterfowl are more isolated. Few if any studies of avian influenza have focused on the molting stage where wild waterfowl congregate in a few selected wetlands and undergo the simultaneous molt of wing and tail feathers during a vulnerable flightless period. The molting stage may be one of the most important periods for the perpetuation of the disease in waterfowl, since during this stage, immunologically naïve young birds and adults freely intermix prior to the fall migration. Our study incorporated empirical data from virological field samplings and markings of Swan Geese (Anser cygnoides) on their breeding grounds in Mongolia in an integrated agent-based model (ABM) that included susceptible–exposed–infectious–recovered (SEIR) states. Our ABM results provided unique insights and indicated that individual movements between different molting wetlands and the transmission rate were the key predictors of HPAI perpetuation. While wetland extent was not a significant predictor of HPAI perpetuation, it had a large effect on the number of infections and associated death toll. Our results indicate that conserving undisturbed habitats for wild waterfowl during the molting stage of the breeding season could reduce the risk of HPAI transmission.

","language":"English","publisher":"MDPI","doi":"10.3390/v17020196","usgsCitation":"Takekawa, J., Choi, C., Prosser, D.J., Sullivan, J.D., Batbayar, N., and Xiao, X., 2025, Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach: Viruses, v. 17, no. 2, 196, 20 p., https://doi.org/10.3390/v17020196.","productDescription":"196, 20 p.","ipdsId":"IP-171183","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487618,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v17020196","text":"Publisher Index Page"},{"id":481653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia, Russia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 114.5,\n 50.33\n ],\n [\n 114.5,\n 49.25\n ],\n [\n 116,\n 49.25\n ],\n [\n 116,\n 50.33\n ],\n [\n 114.5,\n 50.33\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Takekawa, John","contributorId":330942,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","affiliations":[{"id":32931,"text":"USGS - Retired","active":true,"usgs":false}],"preferred":false,"id":926134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Chang-Yong","contributorId":181784,"corporation":false,"usgs":false,"family":"Choi","given":"Chang-Yong","email":"","affiliations":[],"preferred":false,"id":926135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":926137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batbayar, Nyambaya","contributorId":181791,"corporation":false,"usgs":false,"family":"Batbayar","given":"Nyambaya","affiliations":[],"preferred":false,"id":926138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xiao, Xiangming","contributorId":181792,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","email":"","affiliations":[],"preferred":false,"id":926139,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264794,"text":"70264794 - 2025 - Understanding and managing introduction pathways into protected areas in a changing climate","interactions":[],"lastModifiedDate":"2025-03-24T15:18:18.434932","indexId":"70264794","displayToPublicDate":"2025-01-24T10:15:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Understanding and managing introduction pathways into protected areas in a changing climate","docAbstract":"

The Kunming-Montreal Global Biodiversity Framework 2030 calls for the conservation of 30% of the world’s ecosystems, focusing on protecting areas vital to biodiversity, identifying and managing invasive species introduction pathways, and minimizing the impacts of climate change on biodiversity. While protected areas (PAs) have historically limited the introduction, establishment, and spread of non-native species, climate change is likely to increase their susceptibility to invasion. Yet we know little about how pathways may shift in the future, making it difficult for managers to plan appropriately. This paper explores how climate change may affect primary and secondary pathways of introduction and presents an adaptive management approach to avoid, minimize, and mitigate impacts. Climate change has influenced introduction pathways by modifying human behaviors (e.g., forced migration and shifting travel and vacation destinations), and by altering transportation routes, natural dispersal mechanisms, and the environmental conditions along these pathways and in donor and receiver regions. These changes increase the risk of non-native species introductions and their subsequent spread within PAs. Implementing climate-smart adaptive biosecurity, an iterative process that includes the incorporation of new technologies and perspectives, will become increasingly important for invasive species prevention and management of PAs as it provides flexibility in management response and maximizes positive outcomes when resources are limited.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-025-03534-3","usgsCitation":"Lieurance, D., Canavan, S., Faulkner, K., O’Shaughnessy, K., Lockwood, J.L., Parsons, E.W., Avery, J., and Daniel, W., 2025, Understanding and managing introduction pathways into protected areas in a changing climate: Biological Invasions, v. 27, no. 2, 74, 15 p., https://doi.org/10.1007/s10530-025-03534-3.","productDescription":"74, 15 p.","ipdsId":"IP-168490","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":488375,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-025-03534-3","text":"Publisher Index Page"},{"id":483718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lieurance, Deah 0000-0001-8176-3146","orcid":"https://orcid.org/0000-0001-8176-3146","contributorId":293605,"corporation":false,"usgs":false,"family":"Lieurance","given":"Deah","email":"","affiliations":[{"id":63333,"text":"Agronomy Department, University of Florida","active":true,"usgs":false}],"preferred":false,"id":931708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canavan, Susan 0000-0002-7972-7928","orcid":"https://orcid.org/0000-0002-7972-7928","contributorId":293598,"corporation":false,"usgs":false,"family":"Canavan","given":"Susan","email":"","affiliations":[{"id":63333,"text":"Agronomy Department, University of Florida","active":true,"usgs":false}],"preferred":false,"id":931709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulkner, Katelyn T.","contributorId":352566,"corporation":false,"usgs":false,"family":"Faulkner","given":"Katelyn T.","affiliations":[{"id":84262,"text":"University of Pretoria, South Africa","active":true,"usgs":false}],"preferred":false,"id":931710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Shaughnessy, Kathryn A.","contributorId":352567,"corporation":false,"usgs":false,"family":"O’Shaughnessy","given":"Kathryn A.","affiliations":[{"id":48711,"text":"Dauphin Island Sea Lab","active":true,"usgs":false}],"preferred":false,"id":931711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lockwood, Julie L.","contributorId":192147,"corporation":false,"usgs":false,"family":"Lockwood","given":"Julie","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":931712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Elliott W.","contributorId":330758,"corporation":false,"usgs":false,"family":"Parsons","given":"Elliott","email":"","middleInitial":"W.","affiliations":[{"id":79002,"text":"University of Hawai‘i at \nMānoa","active":true,"usgs":false}],"preferred":false,"id":931713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Avery, Julian D.","contributorId":352568,"corporation":false,"usgs":false,"family":"Avery","given":"Julian D.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":931714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Daniel, Wesley 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219312,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":931715,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263233,"text":"70263233 - 2025 - The transition from resistance to acceptance: Managing a marine invasive species in a changing world","interactions":[],"lastModifiedDate":"2025-03-11T14:59:09.650451","indexId":"70263233","displayToPublicDate":"2025-01-24T09:34:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The transition from resistance to acceptance: Managing a marine invasive species in a changing world","docAbstract":"
  1. Marine invasive species can transform coastal ecosystems, yet mitigating their effects can be difficult, and even impractical. Often, marine invasive species are managed at poorly matched spatial scales, and at the same time, rates of spread and establishment are increasing under climate change and can outpace resources available for population suppression. These circumstances challenge traditional conservation goals of maintaining a historic environmental state, especially for a species like the European green crab (Carcinus maenas), a formidable invader with few examples of successful long-term removal programs.
  2. A management paradigm where decision alternatives include resisting or accepting a new ecological trajectory may be needed. We apply mathematical concepts from decision theory to develop a quantitative framework for navigating management decisions in this new resist-accept paradigm. We develop a model of European green crab growth, removal and colonization, and we find optimal levels of removal effort that minimize both ecological change and removal cost.
  3. We establish a benchmark of colonization pressure at which green crab density becomes decoupled from a decision maker's actions, such that population control can no longer shape the invasion trajectory. For informing the decision boundary between resistance and acceptance, our results highlight that a decision maker's understanding of how removal cost scales with removal effort is more important than understanding the density-impact relationship.
  4. We show that assuming stationary system dynamics can result in sub-optimal levels of species removal effort, highlighting the importance of developing anticipatory management strategies by accounting for non-stationary dynamics.
  5. Policy implications. For marine invasive species that can disperse across long distances and recolonize rapidly after removal, the focus of conservation policy should shift away from understanding how to resist change to understanding when to stop resisting change. Navigating this decision problem involves trade-offs among competing objectives, highlighting the need for structured approaches to elicit objective weights that reflect the values of the decision maker. For natural resource managers facing possible ecosystem transformation, this decision framework can enable proactive and strategic decisions made under uncertainty in a changing world.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14881","usgsCitation":"Keller, A., Counihan, T., Grosholz, E., and Boettiger, C., 2025, The transition from resistance to acceptance: Managing a marine invasive species in a changing world: Journal of Applied Ecology, v. 62, no. 3, p. 715-725, https://doi.org/10.1111/1365-2664.14881.","productDescription":"11 p.","startPage":"715","endPage":"725","ipdsId":"IP-163202","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":487611,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14881","text":"Publisher Index Page"},{"id":481607,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Keller, Abigail G.","contributorId":350416,"corporation":false,"usgs":false,"family":"Keller","given":"Abigail G.","affiliations":[{"id":83733,"text":"Department of Environment Science, Policy, and Management, University of California, Berkeley, Berkeley, California, USA","active":true,"usgs":false}],"preferred":false,"id":925972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Counihan, Timothy D. 0000-0003-4967-6514","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":207532,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":925973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grosholz, Edwin D.","contributorId":171563,"corporation":false,"usgs":false,"family":"Grosholz","given":"Edwin D.","affiliations":[],"preferred":false,"id":925974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boettiger, Carl 0000-0002-1642-628X","orcid":"https://orcid.org/0000-0002-1642-628X","contributorId":332018,"corporation":false,"usgs":false,"family":"Boettiger","given":"Carl","email":"","affiliations":[{"id":79359,"text":"Department of Environmental Science, Policy and Management, University of California Berkeley, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":925975,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265809,"text":"70265809 - 2025 - Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake","interactions":[],"lastModifiedDate":"2025-04-16T14:18:07.747942","indexId":"70265809","displayToPublicDate":"2025-01-24T09:13:07","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":"Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake","docAbstract":"

A major earthquake ruptured the Cascadia subduction zone (CSZ) on 26 January 1700. Key paleoseismic evidence associated with this event include tsunami deposits, stratigraphic evidence of coastal coseismic subsidence, written Japanese records of a tsunami unaccompanied by earthquake shaking, and margin‐wide turbidites found offshore and in lacustrine environments. Despite this wealth of independent clues, important details about this event remain unresolved. Dating uncertainties do not conclusively establish whether the proxies are from one earthquake or a sequence of them, and we have limited knowledge of the likely slip distributions of the event or events. Here, we use a catalog of 37,500 candidate synthetic ruptures between Mw 7.8 and 9.2 and simulate their resulting coseismic deformation and tsunami inundation. Each model is then compared against estimated Japan tsunami arrivals, regional coastal subsidence records, and local paleotsunami deposits mapped at six different coastal marshes and one coastal lake along the CSZ. We find that seven full‐margin ruptures with a median magnitude of Mw 9.1 satisfy all three constraints. We favor one Mw 9.11 model that best matches all site paleoseismic observations and suggests that the Cascadia megathrust slipped up to ∼30 m and must have shallow geodetic coupling. We also find that some sequences composed of three or four ruptures can still satisfy the observations, yet no sequences of two ruptures can. Sequences are differentiated into three groups based on whether they contain a mainshock rupture located in the south (>44° N) or further north. All sequences contain unruptured portions of the megathrust and most contain mainshocks with peak slip above 40 m. The fit of the geologic evidence from sequences is poor in comparison to single‐event models. Therefore, sequences are generally less favored compared to full‐margin events.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240218","usgsCitation":"Small, D., Melgar, D., La Selle, S., and Meigs, A.J., 2025, Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake: Bulletin of the Seismological Society of America, v. 115, no. 2, p. 431-451, https://doi.org/10.1785/0120240218.","productDescription":"21 p.","startPage":"431","endPage":"451","ipdsId":"IP-172408","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":484637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","otherGeospatial":"Cascadia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -128.30849189050252,\n 50.14252629443621\n ],\n [\n -128.30849189050252,\n 39.063748655690205\n ],\n [\n -121.82821545291904,\n 39.063748655690205\n ],\n [\n -121.82821545291904,\n 50.14252629443621\n ],\n [\n -128.30849189050252,\n 50.14252629443621\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Small, David 0000-0003-3606-7664","orcid":"https://orcid.org/0000-0003-3606-7664","contributorId":353460,"corporation":false,"usgs":false,"family":"Small","given":"David","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":933603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":933604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":933605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meigs, Andrew J","contributorId":300037,"corporation":false,"usgs":false,"family":"Meigs","given":"Andrew","email":"","middleInitial":"J","affiliations":[{"id":65004,"text":"College of Earth, Ocean and Atmospheric Sciences Oregon State University","active":true,"usgs":false}],"preferred":false,"id":933606,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263249,"text":"70263249 - 2025 - Earthquake recurrence estimates for northern Caribbean faults from combinatorial optimization","interactions":[],"lastModifiedDate":"2025-02-03T16:15:20.159375","indexId":"70263249","displayToPublicDate":"2025-01-24T09:07:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake recurrence estimates for northern Caribbean faults from combinatorial optimization","docAbstract":"We use combinatorial optimization to find the optimal spatial distribution of random samples of earthquakes (≥6.5) that minimize the misfit in target slip rates for all faults in the northeast Caribbean, and we derive magnitude-frequency relationships with uncertainties for these faults. Slip rates for many faults are derived from GPS block models, not direct measurements, because of their underwater locations. Predicted recurrence rates for eastern Hispaniola and Puerto Rico Trench faults are 220-450 yr for M7 and 3-5 kyr for M8, with maximum feasible magnitude of M8.2. The most frequent earthquakes with magnitudes ≥7.0 are predicted on the large upper plate strike-slip faults, Enriquillo (EF) and Septentrional Fault, commensurate with the historical record. Calais et al. (2023) suggested that shortening in western Hispaniola is accommodated on the offshore Jérémie and onshore Malpasse faults north and south of EF, instead of on terrestrial faults in western Hispaniola and EF. Because of our system-modeling approach, such a configuration predicts less frequent earthquakes on EF and on western Hispaniola and Muertos convergent zones. Recurrence times of a few 100s yr for M6.7 earthquakes is predicted on the submerged faults in Mona Passage, and infrequent M>7 earthquakes are predicted on the Virgin Islands faults.","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0320240034","usgsCitation":"ten Brink, U.S., and Geist, E.L., 2025, Earthquake recurrence estimates for northern Caribbean faults from combinatorial optimization: The Seismic Record, v. 5, no. 1, p. 44-54, https://doi.org/10.1785/0320240034.","productDescription":"11 p.","startPage":"44","endPage":"54","ipdsId":"IP-172841","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320240034","text":"Publisher Index Page"},{"id":481613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cuba","otherGeospatial":"Lesser Antilles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.54172745991896,\n 23.273159122073167\n ],\n [\n -85.08912790381078,\n 21.90480011614151\n ],\n [\n -80.37849990594867,\n 17.049272442647773\n ],\n [\n -76.07696465381447,\n 16.802734884204483\n ],\n [\n -67.83418626407995,\n 15.961899038918276\n ],\n [\n -60.7259938596588,\n 11.648146623560137\n ],\n [\n -61.859153691893425,\n 18.284983969218942\n ],\n [\n -68.38367139873552,\n 20.8955538593181\n ],\n [\n -79.22367804805796,\n 23.563735513601365\n ],\n [\n -84.54172745991896,\n 23.273159122073167\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":926015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":926016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70263406,"text":"70263406 - 2025 - Landslide-channel feedbacks amplify channel widening during floods","interactions":[],"lastModifiedDate":"2025-02-10T16:07:46.936249","indexId":"70263406","displayToPublicDate":"2025-01-24T09:01:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Landslide-channel feedbacks amplify channel widening during floods","docAbstract":"

Channel widening is a major hazard during floods, particularly in confined mountainous catchments. However, channel widening during floods is not well understood and not always explained by hydraulic variables alone. Floods in mountainous regions often coincide with landslides triggered by heavy rainfall, yet landslide-channel interactions during a flood event are not well known or documented. Here we demonstrate with an example from the Great Colorado Flood in 2013, a 1000 year precipitation event, how landslide-channel feedbacks can substantially amplify channel widening and flood risk. We use a combination of DEM differencing, field analysis, and multiphase flow modeling to document landslide-channel interaction during the flood event in which sediment delivered by landslides temporarily dammed the channel before failing and generating substantial channel widening. We propose that such landslide-flood interactions will become increasingly important to account for in flood hazard assessment as flooding and landsliding both increase with extreme rainfall under climate change.

","language":"English","publisher":"Springer Nature","doi":"10.1038/s44304-025-00059-6","usgsCitation":"Bennett, G.L., Panici, D., Rengers, F.K., Kean, J.W., and Rathburn, S.L., 2025, Landslide-channel feedbacks amplify channel widening during floods: Natural Hazards, v. 2, 7, 9 p., https://doi.org/10.1038/s44304-025-00059-6.","productDescription":"7, 9 p.","ipdsId":"IP-157384","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":487461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s44304-025-00059-6","text":"Publisher Index Page"},{"id":481870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"North Saint Vrain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.73760664650443,\n 40.35112459287464\n ],\n [\n -105.73760664650443,\n 40.10499805445866\n ],\n [\n -105.48739640788911,\n 40.10499805445866\n ],\n [\n -105.48739640788911,\n 40.35112459287464\n ],\n [\n -105.73760664650443,\n 40.35112459287464\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennett, Georgina L.","contributorId":218097,"corporation":false,"usgs":false,"family":"Bennett","given":"Georgina","email":"","middleInitial":"L.","affiliations":[{"id":39743,"text":"School of Environmental Sciences, University of East Anglia, Norwich, UK.","active":true,"usgs":false}],"preferred":false,"id":926872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panici, Diego 0000-0001-7394-7981","orcid":"https://orcid.org/0000-0001-7394-7981","contributorId":350752,"corporation":false,"usgs":false,"family":"Panici","given":"Diego","affiliations":[{"id":17840,"text":"University of Exeter","active":true,"usgs":false}],"preferred":false,"id":926873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rathburn, Sara L.","contributorId":140606,"corporation":false,"usgs":false,"family":"Rathburn","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":926876,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263287,"text":"70263287 - 2025 - Biotic and abiotic drivers of ecosystem temporal stability in herbaceous wetlands in China","interactions":[],"lastModifiedDate":"2025-02-04T15:20:26.056947","indexId":"70263287","displayToPublicDate":"2025-01-24T08:15:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Biotic and abiotic drivers of ecosystem temporal stability in herbaceous wetlands in China","docAbstract":"Maintaining the stability of ecosystems is critical for supporting essential ecosystem services over time. However, our understanding of the contribution of the diverse biotic and abiotic factors to this stability in wetlands remains limited. Here, we combined data from a field vegetation survey of 725 herbaceous wetland sites in China with remote sensing information from the Enhanced Vegetation Index (EVI) from 2010 to 2020 to explore the contribution of biotic and abiotic factors to the temporal stability of primary productivity. We found that plant species richness directly contributed to stability on a national scale, but that this contribution differed among climate zones, hydrological regimes, and vegetation types. In addition, many abiotic factors, including soil properties, geographical location, and climate also contributed to stability. Piecewise structural equation modeling identified that soil properties, including soil pH, total nitrogen, and soil organic carbon, emerged as primary factors modulating ecosystem stability, both directly and indirectly by affecting species richness and vegetation type. Higher species richness and soil organic carbon were related to higher ecosystem stability in peatlands but less so in coastal and inland marshes. These findings enhance our ability to forecast how wetland ecosystems may respond to future environmental changes and biodiversity loss and can inform policy decisions related to ecosystem stability.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70056","usgsCitation":"Wang, G., Hu, N., Hautier, Y., Middleton, B., Wang, M., Zhao, M., Meng, J., Ma, Z., Liu, B., Liu, Y., and Jiang, M., 2025, Biotic and abiotic drivers of ecosystem temporal stability in herbaceous wetlands in China: Global Change Biology, v. 31, no. 1, e70056, 10 p., https://doi.org/10.1111/gcb.70056.","productDescription":"e70056, 10 p.","ipdsId":"IP-166071","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499262,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70056","text":"Publisher Index Page"},{"id":481667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[110.33919,18.6784],[109.47521,18.1977],[108.65521,18.50768],[108.62622,19.36789],[109.11906,19.82104],[110.2116,20.10125],[110.78655,20.07753],[111.01005,19.69593],[110.57065,19.25588],[110.33919,18.6784]]],[[[127.65741,49.76027],[129.39782,49.4406],[130.58229,48.72969],[130.98728,47.79013],[132.50667,47.78897],[133.3736,48.18344],[135.02631,48.47823],[134.50081,47.57844],[134.11236,47.21247],[133.76964,46.11693],[133.09713,45.14407],[131.88345,45.32116],[131.02521,44.96795],[131.28856,44.11152],[131.14469,42.92999],[130.63387,42.90301],[130.64002,42.39501],[129.99427,42.98539],[129.59667,42.42498],[128.05222,41.99428],[128.20843,41.46677],[127.34378,41.50315],[126.86908,41.81657],[126.18205,41.10734],[125.07994,40.56982],[124.26562,39.92849],[122.86757,39.63779],[122.13139,39.17045],[121.05455,38.89747],[121.58599,39.36085],[121.37676,39.75026],[122.1686,40.42244],[121.64036,40.94639],[120.76863,40.59339],[119.6396,39.89806],[119.02346,39.25233],[118.04275,39.20427],[117.5327,38.73764],[118.0597,38.06148],[118.87815,37.89733],[118.91164,37.44846],[119.7028,37.15639],[120.82346,37.87043],[121.71126,37.48112],[122.35794,37.45448],[122.51999,36.93061],[121.10416,36.65133],[120.63701,36.11144],[119.66456,35.60979],[119.15121,34.90986],[120.22752,34.36033],[120.62037,33.37672],[121.22901,32.46032],[121.90815,31.69217],[121.89192,30.94935],[121.26426,30.67627],[121.50352,30.14291],[122.09211,29.83252],[121.93843,29.01802],[121.68444,28.22551],[121.12566,28.13567],[120.39547,27.05321],[119.5855,25.74078],[118.65687,24.54739],[117.28161,23.6245],[115.89074,22.78287],[114.76383,22.66807],[114.15255,22.22376],[113.80678,22.54834],[113.24108,22.05137],[111.84359,21.55049],[110.78547,21.39714],[110.44404,20.34103],[109.88986,20.28246],[109.62766,21.00823],[109.86449,21.39505],[108.52281,21.71521],[108.05018,21.55238],[107.04342,21.8119],[106.56727,22.2182],[106.7254,22.79427],[105.81125,22.97689],[105.32921,23.35206],[104.47686,22.81915],[103.50451,22.70376],[102.70699,22.7088],[102.17044,22.46475],[101.65202,22.3182],[101.80312,21.17437],[101.27003,21.20165],[101.18001,21.43657],[101.15003,21.84998],[100.41654,21.55884],[99.98349,21.74294],[99.2409,22.11831],[99.53199,22.94904],[98.89875,23.14272],[98.66026,24.06329],[97.60472,23.8974],[97.72461,25.08364],[98.67184,25.9187],[98.71209,26.74354],[98.68269,27.50881],[98.24623,27.74722],[97.91199,28.33595],[97.32711,28.26158],[96.24883,28.41103],[96.58659,28.83098],[96.11768,29.4528],[95.4048,29.03172],[94.56599,29.27744],[93.41335,28.64063],[92.50312,27.89688],[91.69666,27.77174],[91.25885,28.04061],[90.73051,28.06495],[90.01583,28.29644],[89.47581,28.04276],[88.81425,27.29932],[88.73033,28.08686],[88.12044,27.87654],[86.95452,27.97426],[85.82332,28.20358],[85.01164,28.64277],[84.23458,28.83989],[83.89899,29.32023],[83.33712,29.46373],[82.32751,30.11527],[81.5258,30.42272],[81.11126,30.18348],[79.72137,30.88271],[78.73889,31.51591],[78.45845,32.61816],[79.17613,32.48378],[79.20889,32.99439],[78.81109,33.5062],[78.91227,34.32194],[77.83745,35.49401],[76.19285,35.8984],[75.8969,36.66681],[75.15803,37.13303],[74.98,37.41999],[74.82999,37.99001],[74.86482,38.37885],[74.25751,38.60651],[73.92885,38.50582],[73.67538,39.43124],[73.96001,39.66001],[73.82224,39.89397],[74.77686,40.36643],[75.46783,40.56207],[76.52637,40.42795],[76.90448,41.06649],[78.1872,41.18532],[78.54366,41.58224],[80.11943,42.12394],[80.25999,42.35],[80.18015,42.92007],[80.86621,43.18036],[79.96611,44.91752],[81.94707,45.31703],[82.45893,45.53965],[83.18048,47.33003],[85.16429,47.00096],[85.72048,47.45297],[85.76823,48.45575],[86.59878,48.54918],[87.35997,49.21498],[87.75126,49.2972],[88.01383,48.59946],[88.8543,48.06908],[90.28083,47.69355],[90.97081,46.88815],[90.58577,45.71972],[90.94554,45.28607],[92.13389,45.11508],[93.48073,44.97547],[94.68893,44.35233],[95.30688,44.24133],[95.76245,43.31945],[96.3494,42.72564],[97.45176,42.74889],[99.51582,42.52469],[100.84587,42.6638],[101.83304,42.51487],[103.31228,41.90747],[104.52228,41.90835],[104.96499,41.59741],[106.12932,42.13433],[107.74477,42.48152],[109.2436,42.51945],[110.4121,42.87123],[111.12968,43.40683],[111.82959,43.74312],[111.66774,44.07318],[111.34838,44.45744],[111.87331,45.10208],[112.43606,45.01165],[113.46391,44.80889],[114.46033,45.33982],[115.9851,45.72724],[116.71787,46.3882],[117.4217,46.67273],[118.87433,46.80541],[119.66327,46.69268],[119.77282,47.04806],[118.86657,47.74706],[118.06414,48.06673],[117.29551,47.69771],[116.30895,47.85341],[115.74284,47.72654],[115.48528,48.13538],[116.1918,49.1346],[116.6788,49.88853],[117.87924,49.51098],[119.28846,50.14288],[119.27937,50.58291],[120.18205,51.64357],[120.73819,51.96412],[120.72579,52.51623],[120.17709,52.75389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Guodong","contributorId":350506,"corporation":false,"usgs":false,"family":"Wang","given":"Guodong","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hu, Nanlin","contributorId":350507,"corporation":false,"usgs":false,"family":"Hu","given":"Nanlin","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hautier, Yann","contributorId":271107,"corporation":false,"usgs":false,"family":"Hautier","given":"Yann","affiliations":[{"id":56284,"text":"Ecology and Biodiversity Group, Department of Biology, Utrecht University, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":926164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":222689,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":926165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Ming","contributorId":350508,"corporation":false,"usgs":false,"family":"Wang","given":"Ming","affiliations":[{"id":83758,"text":"State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Institute for Peat and Mire Research, Northeast Normal University, Changchun, China","active":true,"usgs":false}],"preferred":false,"id":926166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhao, Meiling","contributorId":350509,"corporation":false,"usgs":false,"family":"Zhao","given":"Meiling","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926167,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meng, Jingci","contributorId":350510,"corporation":false,"usgs":false,"family":"Meng","given":"Jingci","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926168,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ma, Zijun","contributorId":350511,"corporation":false,"usgs":false,"family":"Ma","given":"Zijun","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926169,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Bo","contributorId":338749,"corporation":false,"usgs":false,"family":"Liu","given":"Bo","email":"","affiliations":[],"preferred":false,"id":926170,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liu, Yanjie","contributorId":350512,"corporation":false,"usgs":false,"family":"Liu","given":"Yanjie","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926171,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jiang, Mingkai","contributorId":245059,"corporation":false,"usgs":false,"family":"Jiang","given":"Mingkai","email":"","affiliations":[{"id":49069,"text":"Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751 Australia","active":true,"usgs":false}],"preferred":false,"id":926172,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70262823,"text":"70262823 - 2025 - Long-lived partial melt beneath Cascade volcanoes","interactions":[],"lastModifiedDate":"2025-02-11T15:48:35.107872","indexId":"70262823","displayToPublicDate":"2025-01-23T10:59:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Long-lived partial melt beneath Cascade volcanoes","docAbstract":"

Quantitative estimates of magma storage are fundamental to evaluating volcanic dynamics and hazards. Yet our understanding of subvolcanic magmatic plumbing systems and their variability remains limited. There is ongoing debate regarding the ephemerality of shallow magma storage and its volume relative to eruptive output, and so whether an upper-crustal magma body could be a sign of imminent eruption. Here we present seismic imaging of subvolcanic magmatic systems along the Cascade Range arc from systematically modelling the three-dimensional scattered wavefield of teleseismic body waves. This reveals compelling evidence of low-seismic-velocity bodies indicative of partial melt between 5 and 15 km depth beneath most Cascade Range volcanoes. The magma reservoirs beneath these volcanoes vary in depth, size and complexity, but upper-crustal magma bodies are widespread, irrespective of the eruptive flux or time since the last eruption of the associated volcano. This indicates that large volumes of melts can persist at shallow depth throughout eruption cycles beneath large volcanoes.

","language":"English","publisher":"Nature","doi":"10.1038/s41561-024-01630-y","usgsCitation":"Pang, G., Abers, G.A., Moran, S.C., and Thelen, W., 2025, Long-lived partial melt beneath Cascade volcanoes: Nature Geoscience, v. 18, p. 184-190, https://doi.org/10.1038/s41561-024-01630-y.","productDescription":"7 p.","startPage":"184","endPage":"190","ipdsId":"IP-171763","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":481152,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascade volcanoes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.0550198009519,\n 48.97475145081157\n ],\n [\n -123.20704221580439,\n 48.97475145081157\n ],\n [\n -123.20704221580439,\n 40.54505031228959\n ],\n [\n -120.0550198009519,\n 40.54505031228959\n ],\n [\n -120.0550198009519,\n 48.97475145081157\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pang, Guanning","contributorId":204444,"corporation":false,"usgs":false,"family":"Pang","given":"Guanning","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":924934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abers, Geoffrey A.","contributorId":247887,"corporation":false,"usgs":false,"family":"Abers","given":"Geoffrey","email":"","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":224629,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924937,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265631,"text":"70265631 - 2025 - Flying fish habitat and co-occurrence with seabirds in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2025-04-14T15:03:37.233412","indexId":"70265631","displayToPublicDate":"2025-01-23T10:00:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1660,"text":"Fisheries Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Flying fish habitat and co-occurrence with seabirds in the northern Gulf of Mexico","docAbstract":"

Flying fish (family Exocoetidae) play an important role in marine food webs, linking sub-surface and aerial predators. The association of seabirds with sub-surface predators in subtropical and tropical regions through facilitated foraging events is a well-known phenomenon and is sometimes used to identify fishing grounds for flying fish, flying fish roe, and tunas. In the northern Gulf of Mexico (nGoM), few studies have assessed flying fish distribution, and none have directly evaluated flying fish–seabird co-occurrence. Using vessel-based observations of surfacing flying fish flights, we characterized the distribution of flying fish and their co-occurrence patterns with seabirds in the nGoM. We modeled the distribution and relative density of flying fish flights using Generalized Additive Models. We then assessed co-occurrence patterns of flying fish with all seabird species seen in the area, encompassing the footprint of flying fish detections. Flying fish were detected across the U.S. Exclusive Economic Zone, with flight densities greater on the mid-continental shelf and into pelagic waters south of Louisiana, and greater flight densities were associated with regionally low chlorophyll-a and warm water. Flying fish flights were greatest in spring months through early fall months. Sooty terns (Onychoprion fuscatus), considered near-obligate commensals with tuna, contributed a much higher percent of the cumulative density of the seabirds co-occurring with versus without flying fish. Flying fish could be an ecological attractant for high abundances of visually conspicuous sooty terns, the presence of which may lead to the formation of ephemeral facilitated foraging events consisting of mixed-species seabird flocks.

","language":"English","publisher":"WIley","doi":"10.1111/fog.12712","usgsCitation":"Michael, P., Haney, J., Gleason, J., Hixson, K.M., Satgé, Y., and Jodice, P.G., 2025, Flying fish habitat and co-occurrence with seabirds in the northern Gulf of Mexico: Fisheries Oceanography, v. 34, no. 3, e12712, 17 p., https://doi.org/10.1111/fog.12712.","productDescription":"e12712, 17 p.","ipdsId":"IP-164517","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488208,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fog.12712","text":"Publisher Index Page"},{"id":484497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.85994338943146,\n 26.090144255345805\n ],\n [\n -81.5568338264435,\n 25.37260362778406\n ],\n [\n -83.1535405648454,\n 29.44002394978382\n ],\n [\n -84.0173461578382,\n 29.918915067033325\n ],\n [\n -85.03613314603761,\n 29.62437145316774\n ],\n [\n -87.07138671351663,\n 30.373698281309842\n ],\n [\n -89.69645200017544,\n 30.176082004393137\n ],\n [\n -89.88260803375077,\n 29.107425410459612\n ],\n [\n -93.54135120526524,\n 29.516029211382815\n ],\n [\n -97.12905611377971,\n 28.12170747625406\n ],\n [\n -97.3049365335269,\n 27.041943819722775\n ],\n [\n -96.85994338943146,\n 26.090144255345805\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Michael, Pamela E.","contributorId":340919,"corporation":false,"usgs":false,"family":"Michael","given":"Pamela E.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":933146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, J. Christopher","contributorId":341154,"corporation":false,"usgs":false,"family":"Haney","given":"J. Christopher","affiliations":[{"id":81710,"text":"Terra Mar Applied Science","active":true,"usgs":false}],"preferred":false,"id":933147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gleason, Jeffrey S.","contributorId":341153,"corporation":false,"usgs":false,"family":"Gleason","given":"Jeffrey S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":933148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hixson, Kathy M.","contributorId":340920,"corporation":false,"usgs":false,"family":"Hixson","given":"Kathy","email":"","middleInitial":"M.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":933149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Satgé, Yvan G.","contributorId":340737,"corporation":false,"usgs":false,"family":"Satgé","given":"Yvan G.","affiliations":[{"id":81653,"text":"South Carolina Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":933150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":933151,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263409,"text":"70263409 - 2025 - 3D viscoelastic models of slip-deficit rate along the Cascadia subduction zone","interactions":[],"lastModifiedDate":"2025-02-10T15:54:57.939719","indexId":"70263409","displayToPublicDate":"2025-01-23T08:50:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"3D viscoelastic models of slip-deficit rate along the Cascadia subduction zone","docAbstract":"Interseismic deformation in the Pacific Northwest is constrained by the horizontal crustal velocity field derived from the Global Positioning System (GPS) in addition to vertical rates derived from GPS, leveling, and tide gauge measurements. Such measurements were folded in to deformation models of fault slip rates as part of the 2023 National Seismic Hazard Model (NSHM) update. Here I build upon one of the contributing models, the viscoelastic earthquake-cycle model of Pollitz [2022]. This model permits inclusion of effects of time-dependent viscoelastic relaxation within earthquake cycles (i.e., ‘ghost transients’) and laterally variable elastic and/or ductile material properties. I lever-age these capabilities to incorporate the Cascadia megathrust into Western U.S.-wide deformation models in which crustal fault slip rates are estimated simultaneously with slip deficit rates along the interplate boundary between the descending Juan de Fuca plate and North American plate. This effort includes construction of a margin-wide model of viscoelastic structure founded on the Slab 2.0 model and probes different models of the ductile properties of the surrounding oceanic asthenosphere, continental lower crust, and mantle asthenosphere. This results in new estimates of the distribution of slip deficit rate along the ∼ 1000 km long margin, highlights the importance of correcting for glacial-isostatic adjustment effects, and permits assessment of sensitivity of results to assumed ductile properties.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB029847","usgsCitation":"Pollitz, F., 2025, 3D viscoelastic models of slip-deficit rate along the Cascadia subduction zone: Journal of Geophysical Research: Solid Earth, v. 130, no. 1, e2024JB029847, 22 p., https://doi.org/10.1029/2024JB029847.","productDescription":"e2024JB029847, 22 p.","ipdsId":"IP-168142","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126.21988785109721,\n 48.53762428891605\n ],\n [\n -126.21988785109721,\n 40.250023472885545\n ],\n [\n -122.48356241942076,\n 40.250023472885545\n ],\n [\n -122.48356241942076,\n 48.53762428891605\n ],\n [\n -126.21988785109721,\n 48.53762428891605\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926883,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274783,"text":"70274783 - 2025 - Lake Superior fish community and fisheries, 2001–2022: An era of stability","interactions":[],"lastModifiedDate":"2026-04-09T15:48:14.095481","indexId":"70274783","displayToPublicDate":"2025-01-22T10:42:49","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":"Lake Superior fish community and fisheries, 2001–2022: An era of stability","docAbstract":"

Lake Superior is the least anthropogenically impacted of the Laurentian Great Lakes ecosystems, yet dramatic changes to the fish community are evident. Previous published works chronicled those changes and the efforts to rehabilitate the fish community through the year 2000. Here, we review through the year 2022, where post-rehabilitation stability was driven by lean lake trout (Salvelinus namaycush namaycush) as the most abundant piscivore in nearshore waters, siscowet lake trout (Salvelinus namaycush siscowet) as the most abundant piscivore in offshore waters, and a healthy, intact assemblage of native prey species, which created ecological redundancies and helped stabilize the food web. Stocking of non-native salmonines was reduced 74%, and populations of Chinook salmon (Oncorhynchus tshawytscha) and coho salmon (Oncorhynchus kisutch) were maintained through natural reproduction. Despite reduced stocking, yield from recreational fisheries was stable. Likewise, developments in population modeling led to evaluations and refinement of management strategies that helped create stability for lake trout, lake whitefish (Coregonus clupeaformis), and cisco (Coregonus artedi) fisheries. With lake trout rehabilitation achieved, focus shifted toward rehabilitation of native brook trout (Salvelinus fontinalis), lake sturgeon (Acipenser fulvescens), and walleye (Sander vitreus). Despite continued control efforts, sea lamprey (Petromyzon marinus) abundance increased considerably, and estimates of fish killed by lampreys averaged 2.65 million kg annually. Environmental changes have benefited sea lampreys and fostered thermal habitats more suitable to non-native organisms, posing new challenges for managers and researchers. Nevertheless, the post-rehabilitation stability in the contemporary fish community will help provide resilience to future perturbations in the ecosystem.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102414","usgsCitation":"Goldsworthy, C.A., Carl, D.D., Sitar, S.P., Seider, M.J., Vinson, M.R., Harding, I.C., Pratt, T.C., Piszczek, P.P., Berglund, E.K., Michaels, S.B., and Barber, J.M., 2025, Lake Superior fish community and fisheries, 2001–2022: An era of stability: Journal of Great Lakes Research, v. 51, no. 1, 102414, 22 p., https://doi.org/10.1016/j.jglr.2024.102414.","productDescription":"102414, 22 p.","ipdsId":"IP-166232","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":502499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102414","text":"Publisher Index Page"},{"id":502361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": 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  1. Conservation translocations are an established method for reducing the extinction risk of plant species through intentional movement within or outside the indigenous range. Unsuitable environmental conditions at translocation recipient sites and a lack of understanding of species–environment relationships are often identified as critical barriers to translocation success. However, previous syntheses have drawn these inferences from analyses of qualitative feedback rather than quantitative environmental data.
  2. In this study, we use a data set of 235 translocations conducted in the US to understand the influences of geographic and environmental factors on three metrics of translocation success: population persistence, next-generation recruitment and next-generation maturity. We use random forest models to quantify the relative importance of geographic and environmental factors that characterize dissimilarity between source and recipient locations, the position of recipient sites relative to species' ranges and niche metrics derived from these ranges. We also compare the importance of these variables with more conventional predictors (e.g. founder population size).
  3. Our results indicate that geographic and environmental variables can be as insightful as conventional variables for predicting plant translocation outcomes. The climate suitability of recipient sites, estimated using species distribution models, was the strongest relative predictor of whether a population persisted, with populations situated in more suitable climates displaying greater persistence. Next-generation recruitment and maturity were best predicted by niche metrics; species in more biotically limiting environments, including tropical regions and soils with high relative nutrient retention, as well as species with the broadest precipitation niches, were the least likely to attain these next-generation benchmarks.
  4. Synthesis and applications. Our study is one of the first to quantify the important role of spatial and climatic factors in rare plant translocation outcomes. We provide a novel geographic and environmental perspective on outcomes in plant translocations and demonstrate opportunities to improve translocation success not only by adhering to established best practice guidelines but also by integrating spatial modelling approaches into planning and management processes.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14855","usgsCitation":"Bellis, J., Albrecht, M.A., Maschinski, J., Dalrymple, S., Keir, M.J., Chambers, T., Possley, J., Adkins, E.D., Parsons, E.W., Kunz, M., Radcliffe, C., Coffey, E., Kaye, T., Peterson, C.L., Aaron, D., Herron, S., Menges, E., Bell, T.J., Coppoletta, M., Elam, C., Kathryn, M.A., Williamson, P., Boensch, D., Bontrager, M., Cooper, B., Frade, N., Gordon, D.R., Link, S.O., Littlefield, T., Murray, S., O’Dell, R., Pavlovic, N.B., Reemts, C.M., Taylor, D.D., Titus, J.H., Titus, P.J., Stanley, T., and Heineman, K., 2025, The relative influence of geographic and environmental factors on rare plant translocation outcomes: Journal of Applied Ecology, v. 62, no. 3, p. 638-650, https://doi.org/10.1111/1365-2664.14855.","productDescription":"13 p.","startPage":"638","endPage":"650","ipdsId":"IP-170384","costCenters":[{"id":324,"text":"Great Lakes Science 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inference","interactions":[],"lastModifiedDate":"2025-02-24T15:17:50.922892","indexId":"70263772","displayToPublicDate":"2025-01-22T08:14:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predictive models are indeed useful for causal inference","docAbstract":"

The subject of investigating causation in ecology has been widely discussed in recent years, especially by advocates of a structural causal model (SCM) approach. Some of these advocates have criticized the use of predictive models and model selection for drawing inferences about causation. We argue that the comparison of model-based predictions with observations is a key step in hypothetico-deductive (H-D) science and remains a valid approach for assessing causation. We draw a distinction between two approaches to inference based on predictive modeling. The first approach is not guided by causal hypotheses and focuses on the relationship between a (typically) single response variable and a potentially large number of covariates. We agree that this approach does not yield useful inferences about causation and is primarily useful for hypothesis generation. The second approach follows a H-D framework and is guided by specific hypotheses about causal relationships. We believe that this has been, and continues to be, a useful approach to causal inference. Here, we first define different kinds of causation, arguing that a “probability-raisers-of-processes” definition is especially appropriate for many ecological systems. We outline different scientific “designs” for generating the observations used to investigate causation. We briefly outline some relevant components of the SCM and H-D approaches to investigating causation, emphasizing a H-D approach that focuses on modeling causal effects on vital rate (e.g., rates of survival, recruitment, local extinction, colonization) parameters underlying system dynamics. We consider criticisms of predictive modeling leveled by some SCM proponents and provide two example analyses of ecological systems that use predictive modeling and avoid these criticisms. We conclude that predictive models have been, and can continue to be, useful for providing inferences about causation.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4517","usgsCitation":"Nichols, J., and Cooch, E., 2025, Predictive models are indeed useful for causal inference: Ecology, v. 106, no. 1, e4517, 15 p., https://doi.org/10.1002/ecy.4517.","productDescription":"e4517, 15 p.","ipdsId":"IP-164957","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":482373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Nichols, James D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":264235,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":928212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooch, Evan","contributorId":341120,"corporation":false,"usgs":false,"family":"Cooch","given":"Evan","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":928213,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70265968,"text":"70265968 - 2025 - Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica","interactions":[],"lastModifiedDate":"2025-04-22T17:57:05.14167","indexId":"70265968","displayToPublicDate":"2025-01-21T12:51:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica","title":"Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica","docAbstract":"

A species' distribution depends on its tolerance to environmental conditions. These conditions are defined by a minimum, maximum, and optimal ranges of single and combined factors. Forays into environmental conditions outside the minimum or maximum tolerance of a species (i.e., thresholds) are predicted to have large effects on a species' population and may help predict population resilience in the face of changing conditions. Here, we explore ecological thresholds for an important fisheries species and ecosystem engineer, Crassostrea virginica (eastern oyster). In coastal Louisiana, extreme freshwater inputs from rivers and precipitation events impact estuarine salinity, which is a key driver of oyster population dynamics. Using daily salinity and monthly oyster abundance monitoring data across Louisiana estuaries, we explore low salinity exposure threshold levels for oysters. Two statistical approaches were applied, with each model highlighting a different operational definition of a threshold: random forest models identified a threshold as an abrupt change in the oyster abundance- salinity relationship, while Bayesian models identified an increased probability of oyster abundance dropping below a critical threshold, defined here as less than 50% of the 5-year mean. All model results indicate oysters in coastal Louisiana experience low salinity exposure thresholds, defined as the number of consecutive summer days of salinity levels less than 5. However, actual number of days and salinity threshold differed by statistical approach, oyster life stage, and estuary highlighting the multiple dimensions defining ecological thresholds. While thresholds are considered important benchmarks to inform management and assess population or ecosystem vulnerability, our results reveal the need to carefully relate threshold definition to management goals and to acknowledge that thresholds may be highly context dependent.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70759","usgsCitation":"La Peyre, M., Wang, H., Sable, S.E., Wu, W., Li, B., Comba, D., Perez, C., Bates, M., and Swam, L.M., 2025, Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica: Ecology and Evolution, v. 15, no. 1, e70759, 17 p., https://doi.org/10.1002/ece3.70759.","productDescription":"e70759, 17 p.","ipdsId":"IP-166145","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70759","text":"Publisher Index Page"},{"id":484861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.11822914557477,\n 30.785757926614025\n ],\n [\n -93.93935746486115,\n 30.785757926614025\n ],\n [\n -93.93935746486115,\n 28.547047787509243\n ],\n [\n -89.11822914557477,\n 28.547047787509243\n ],\n [\n -89.11822914557477,\n 30.785757926614025\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, H. 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":205508,"corporation":false,"usgs":true,"family":"Wang","given":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":934188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sable, Shaye E.","contributorId":257728,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","email":"","middleInitial":"E.","affiliations":[{"id":52096,"text":"Dynamic Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":934189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Wei","contributorId":353629,"corporation":false,"usgs":false,"family":"Wu","given":"Wei","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":934190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Bin","contributorId":47684,"corporation":false,"usgs":true,"family":"Li","given":"Bin","email":"","affiliations":[],"preferred":false,"id":934191,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Comba, Devin","contributorId":335897,"corporation":false,"usgs":false,"family":"Comba","given":"Devin","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":934192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perez, Carlos","contributorId":353654,"corporation":false,"usgs":false,"family":"Perez","given":"Carlos","affiliations":[],"preferred":false,"id":934193,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bates, Melanie","contributorId":353630,"corporation":false,"usgs":false,"family":"Bates","given":"Melanie","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":934194,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swam, Lauren M.","contributorId":341585,"corporation":false,"usgs":false,"family":"Swam","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":934195,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70262605,"text":"70262605 - 2025 - Slow slip detectability in seafloor pressure records offshore Alaska","interactions":[],"lastModifiedDate":"2025-01-21T17:31:08.79207","indexId":"70262605","displayToPublicDate":"2025-01-21T11:21:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Slow slip detectability in seafloor pressure records offshore Alaska","docAbstract":"

In subduction zones worldwide, seafloor pressure data are used to observe tectonic deformation, particularly from megathrust earthquakes and slow slip events (SSEs). However, such measurements are also sensitive to oceanographic circulation-generated pressures over a range of frequencies that conflate with tectonic signals of interest. Using seafloor pressure and temperature data from the Alaska Amphibious Community Seismic Experiment, and sea surface height data from satellite altimetry, we evaluate the efficacy of various seasonal and oceanographic pressure signal proxy corrections and conduct synthetic tests to determine their impact on the timing and amplitude prediction of ramp-like signals typical of SSEs. We find that subtracting out the first mode of the complex empirical orthogonal functions of the pressure records on either the shelf or slope yields signal root-mean-square error (RMS) reductions up to 73% or 80%, respectively. Additional correction with proxies that exploit the depth-dependent spatial coherence of pressure records provides cumulative variance reductions up to 83% and 93%, respectively. Our detectability tests show that the timing and amplitude of synthetic SSE-like ramps can be well constrained for ramp amplitudes ≥4 cm on the shelf and ≥2 cm on the slope, using a fully automated detector. The principal limits on detectability are residual abrupt changes in pressure that occur as part of the transition to and from summer to winter conditions but are not adequately characterized by our seasonal corrections, as well as the inability to properly account for instrumental drift, which is not readily separated from the seasonal signal.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JB024767","usgsCitation":"Fredrickson, E., Gomberg, J.S., Wilcock, W., Hautala, S., Hermann, A., and Johnson, H.P., 2025, Slow slip detectability in seafloor pressure records offshore Alaska: Journal of Geophysical Research, v. 128, no. 2, e2022JB024767, 24 p., https://doi.org/10.1029/2022JB024767.","productDescription":"e2022JB024767, 24 p.","ipdsId":"IP-143947","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jb024767","text":"Publisher Index Page"},{"id":480844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150.16349121912398,\n 58.54393007698937\n ],\n [\n -151.42167720993098,\n 59.98743881891275\n ],\n [\n -154.57208692356411,\n 59.65292298715761\n ],\n [\n -160.23909749826134,\n 56.65422767712158\n ],\n [\n -163.58127742066247,\n 55.65836547735071\n ],\n [\n -162.34836105867672,\n 53.57246789386025\n ],\n [\n -159.99664364329442,\n 53.66505587767077\n ],\n [\n -156.78037167628796,\n 53.84231267384558\n ],\n [\n -150.30294881264624,\n 55.9108113210971\n ],\n [\n -148.28571839994297,\n 57.58072409918367\n ],\n [\n -150.16349121912398,\n 58.54393007698937\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Fredrickson, Erik","contributorId":349722,"corporation":false,"usgs":false,"family":"Fredrickson","given":"Erik","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":924656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":924657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilcock, William","contributorId":171733,"corporation":false,"usgs":false,"family":"Wilcock","given":"William","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":924658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hautala, Susan","contributorId":194235,"corporation":false,"usgs":false,"family":"Hautala","given":"Susan","email":"","affiliations":[],"preferred":false,"id":924659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hermann, Albert","contributorId":251790,"corporation":false,"usgs":false,"family":"Hermann","given":"Albert","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":924660,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, H. Paul","contributorId":99989,"corporation":false,"usgs":false,"family":"Johnson","given":"H.","email":"","middleInitial":"Paul","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":924661,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262767,"text":"70262767 - 2025 - The effectiveness of harvest for limiting wildlife disease: Insights from 20 years of chronic wasting disease in Wyoming","interactions":[],"lastModifiedDate":"2025-01-22T16:09:44.911392","indexId":"70262767","displayToPublicDate":"2025-01-21T10:06:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The effectiveness of harvest for limiting wildlife disease: Insights from 20 years of chronic wasting disease in Wyoming","docAbstract":"

Effective, practical options for managing disease in wildlife populations are limited, especially after diseases become established. Removal strategies (e.g., hunting or culling) are used to control wildlife diseases across a wide range of systems, despite conflicting evidence of their effectiveness. This is especially true for chronic wasting disease (CWD), an untreatable, fatal prion disease threatening cervid populations across multiple countries, for which recreational harvest has been suggested as an important disease control strategy. Using observational data to evaluate whether harvest effectively limits CWD prevalence has been difficult because statistical relationships between harvest and disease prevalence can arise from a causal effect of harvest (i.e., harvest's impacts on prevalence via changes in transmission or demographic structure) or from a number of alternative mechanisms. For instance, correlations between harvest and disease prevalence can also be driven by disease's impacts on population size and harvest (i.e., reverse causality) or from confounding variables (e.g., habitat or geographic location) that impact both harvest rates and disease prevalence. We analyzed two decades of surveillance data (2000–2021) from 10 mule deer herds in Wyoming, using statistical approaches informed by causal inference theory, to test for the effects of harvest on CWD prevalence. Herds with consistently high harvest pressure across 20 years had significantly lower prevalence. Our models predicted that harvesting 40% of adult males per year across 20 years would maintain prevalence below 5% on average, whereas if only 20% of males were harvested in each year, prevalence would increase to >30% by year 20. Moreover, shifting the relative harvest pressure within a herd over a shorter period (3 years) reduced subsequent prevalence, albeit to a smaller degree. Although high harvest is unlikely to completely eradicate CWD, our analysis suggests that maintaining hunting pressure on adult males is an important tactic for slowing CWD epidemics within mule deer herds. Our study also provides guidance for future analyses of longitudinal surveillance data, including the importance of demographic data and appropriate time lags.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3089","usgsCitation":"Moss, W.E., Binfet, J., Hall, L., Allen, S., Edwards, W., Jennings-Gaines, J., and Cross, P.D., 2025, The effectiveness of harvest for limiting wildlife disease: Insights from 20 years of chronic wasting disease in Wyoming: Ecological Applications, v. 35, no. 1, e3089, 15 p., https://doi.org/10.1002/eap.3089.","productDescription":"e3089, 15 p.","ipdsId":"IP-164090","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":481023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.3089","text":"Publisher Index Page"},{"id":480928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Moss, Wynne Emily 0000-0002-2813-1710","orcid":"https://orcid.org/0000-0002-2813-1710","contributorId":338331,"corporation":false,"usgs":true,"family":"Moss","given":"Wynne","email":"","middleInitial":"Emily","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":924724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binfet, Justin","contributorId":198650,"corporation":false,"usgs":false,"family":"Binfet","given":"Justin","email":"","affiliations":[],"preferred":false,"id":924725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, L. Embere","contributorId":194654,"corporation":false,"usgs":false,"family":"Hall","given":"L. Embere","affiliations":[],"preferred":false,"id":924726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Samantha E. 0000-0001-9436-2325","orcid":"https://orcid.org/0000-0001-9436-2325","contributorId":349747,"corporation":false,"usgs":false,"family":"Allen","given":"Samantha E.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":924727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, William H.","contributorId":343407,"corporation":false,"usgs":false,"family":"Edwards","given":"William H.","affiliations":[{"id":82088,"text":"Wildlife Health Laboratory, Wyoming Game and Fish Department, 1174 Snowy Range Rd, Laramie, WY 82072, USA","active":true,"usgs":false}],"preferred":false,"id":924728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jennings-Gaines, Jessica E. 0000-0002-1056-0680","orcid":"https://orcid.org/0000-0002-1056-0680","contributorId":349750,"corporation":false,"usgs":false,"family":"Jennings-Gaines","given":"Jessica E.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":924729,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cross, Paul DELETE","contributorId":349753,"corporation":false,"usgs":false,"family":"Cross","given":"Paul","middleInitial":"DELETE","affiliations":[],"preferred":false,"id":924730,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70262786,"text":"70262786 - 2025 - Neonicotinoid exposure causes behavioral impairment and delayed mortality of the federally threatened American burying beetle, Nicrophorus americanus","interactions":[],"lastModifiedDate":"2025-01-22T16:05:15.870106","indexId":"70262786","displayToPublicDate":"2025-01-21T09:44:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Neonicotinoid exposure causes behavioral impairment and delayed mortality of the federally threatened American burying beetle, Nicrophorus americanus","title":"Neonicotinoid exposure causes behavioral impairment and delayed mortality of the federally threatened American burying beetle, Nicrophorus americanus","docAbstract":"

Among the most immediate drivers of American burying beetle (Nicrophorus americanus Olivier) declines, nontarget toxicity to pesticides is poorly understood. Acute, episodic exposure to neonicotinoid insecticides at environmentally relevant concentrations is linked to negative impacts on beneficial terrestrial insect taxa. Beyond mortality, behavioral indicators of toxicity are often better suited to assess sublethal effects of residual concentrations in the environment. First, Nicrophorus spp. congeners were used to generate and identify a low-dose exposure rate (lethal dose 10%; LD10) from an acute, 24-hour exposure and the concentration-series was confirmed by LC–MS/MS. Next, we evaluated the effects of single and repeated low-dose (LD10 = 58.9 ng/beetle) imidacloprid exposure on N. americanus behavior (10 minutes post-dose) and mortality (10 days post-dose). Behavior parameters were analyzed using EthoVision-XT. Control N. americanus were significantly less mobile, demonstrating death-feigning, an anti-predator behavior. Single LD10 dosed N. americanus were hyperactive, traveling over 4 times farther (total distance; p = 0.03) and faster (mean velocity; p = 0.02) than controls. Single and repeated LD10 dosed N. americanus extended their wings without taking flight and flipped on their backs. All control N. americanus survived 10 days post-dose; single LD10 and repeated LD10 exhibited 30% and 50% mortality, respectively. A single LD10 exposure event was sufficient to significantly elicit greater movement and high predation risk behaviors, whereas repeated LD10 exposure did not worsen behavioral impairment but increased mortality over time. Collectively, generalized linear mixed effects models indicated that distance traveled, velocity, and extended wings were significant predictors of mortality. Recently reclassified, the federally threatened N. americanus may be at greater risk to insecticide exposure than previously thought and vulnerable to episodic, low-dose neonicotinoid exposure.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0314243","usgsCitation":"Cavallaro, M.C., Hladik, M.L., McMurry, R., Hittson, S., Boyles, L., and Hoback, W.W., 2025, Neonicotinoid exposure causes behavioral impairment and delayed mortality of the federally threatened American burying beetle, Nicrophorus americanus: PLoS ONE, v. 20, no. 1, e0314243, 17 p., https://doi.org/10.1371/journal.pone.0314243.","productDescription":"e0314243, 17 p.","ipdsId":"IP-164105","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":481024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0314243","text":"Publisher Index Page"},{"id":480926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, Oklahoma","city":"Braggs, O'Neill","otherGeospatial":"Camp Gruber","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.2405548140701,\n 35.78970128938211\n ],\n [\n -95.2405548140701,\n 35.59051434169811\n ],\n [\n -95.07378568415066,\n 35.59051434169811\n ],\n [\n -95.07378568415066,\n 35.78970128938211\n ],\n [\n -95.2405548140701,\n 35.78970128938211\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.78178747951743,\n 42.58220278755195\n ],\n [\n -98.78178747951743,\n 42.323737068269025\n ],\n [\n -98.47428478756088,\n 42.323737068269025\n ],\n [\n -98.47428478756088,\n 42.58220278755195\n ],\n [\n -98.78178747951743,\n 42.58220278755195\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavallaro, Michael C.","contributorId":296789,"corporation":false,"usgs":false,"family":"Cavallaro","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":64177,"text":"Bullhead City Pest Abatement District","active":true,"usgs":false}],"preferred":false,"id":924757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMurry, R. Shane","contributorId":349777,"corporation":false,"usgs":false,"family":"McMurry","given":"R. Shane","affiliations":[],"preferred":false,"id":924759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hittson, Samantha","contributorId":305839,"corporation":false,"usgs":false,"family":"Hittson","given":"Samantha","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":924760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyles, Leon K.","contributorId":349770,"corporation":false,"usgs":false,"family":"Boyles","given":"Leon K.","affiliations":[{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":924761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoback, W. Wyatt","contributorId":305841,"corporation":false,"usgs":false,"family":"Hoback","given":"W.","email":"","middleInitial":"Wyatt","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":924762,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262843,"text":"70262843 - 2025 - Post-fire recovery of sagebrush-steppe communities is better explained by elevation than climate-derived indicators of resistance and resilience","interactions":[],"lastModifiedDate":"2025-03-11T14:55:21.542418","indexId":"70262843","displayToPublicDate":"2025-01-20T10:52:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Post-fire recovery of sagebrush-steppe communities is better explained by elevation than climate-derived indicators of resistance and resilience","docAbstract":"
  1. More landscapes require restoration than can feasibly be treated, and so decision-support tools to prioritize areas for treatment are needed. Moreover, restoration is complicated by the threat of biological invasion in disturbed areas, and so indicators of ecosystem resistance to invasion and resilience to disturbance (hereafter R&R) are important candidate criteria for prioritizing sites for restoration.
  2. We asked how climate-based R&R indicators that differed in being either categorical or continuous compared in their ability to explain plant-community recovery after six wildfires that collectively encompassed >750,000 ha and 7803 plot-year observations in sagebrush steppe of the western USA. Unique associations of species that most frequently co-occurred were identified using structural topic modelling. Mixed effect random forests were used to identify the relative importance of various R&R indicators in explaining post-fire plant associations compared with weather, landscape characteristics and treatment history.
  3. Simple metrics (elevation, latitude, longitude and year of monitoring) were more informative predictors of post-fire recovery than climate-based R&R indicators. However, small differences in the abundances of perennial grass and especially annual grass associations were predicted by the spring modified Thornthwaite Moisture Index (difference between precipitation and potential evapotranspiration).
  4. Synthesis and applications: The convenience of categorical resistance and resilience indicators has led to their widespread adoption for large-scale planning of restoration. Our results reveal that none of the resistance and resilience indicators assessed effectively explained post-fire restoration better than elevation, although a simple continuous resistance and resilience indicator describing water balance performed better than categorical indicators for explaining small but critical differences in cheatgrass association abundances.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14876","usgsCitation":"Applestein, C., and Germino, M., 2025, Post-fire recovery of sagebrush-steppe communities is better explained by elevation than climate-derived indicators of resistance and resilience: Journal of Applied Ecology, v. 62, no. 3, p. 689-700, https://doi.org/10.1111/1365-2664.14876.","productDescription":"12 p.","startPage":"689","endPage":"700","ipdsId":"IP-169293","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498252,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14876","text":"Publisher Index Page"},{"id":481148,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.6827569289917,\n 43.7361529971395\n ],\n [\n -122.6827569289917,\n 40.40930474110624\n ],\n [\n -114.76869781036885,\n 40.40930474110624\n ],\n [\n -114.76869781036885,\n 43.7361529971395\n ],\n [\n -122.6827569289917,\n 43.7361529971395\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":924981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":924982,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70264831,"text":"70264831 - 2025 - A case for assemblage-level conservation to address the biodiversity crisis","interactions":[],"lastModifiedDate":"2025-03-26T14:56:57.913451","indexId":"70264831","displayToPublicDate":"2025-01-20T07:52:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20510,"text":"Nature Reviews Biodiversity","active":true,"publicationSubtype":{"id":10}},"title":"A case for assemblage-level conservation to address the biodiversity crisis","docAbstract":"Traditional conservation efforts have centred on safeguarding individual species, but these strategies have limitations in a world where entire ecosystems are rapidly changing. Ecosystem conservation can maintain critical ecological functions, but often lacks the detail necessary for the effective conservation of threatened or endangered species. The conservation of such species is mandated by policies and remains a dominant focus of natural resource management. In this Perspective, we propose that assemblage-level conservation targeting groups of taxonomically related or functionally similar species can bridge the gap between species and ecosystems and help to address global biodiversity loss. This approach has previously been limited by data and methodological constraints, but the ongoing growth of biodiversity data, advances in ecological modelling and breakthroughs in computational power have now made effective assemblage-level conservation feasible. Community models provide insights at both the species level and the assemblage level while appropriately accounting for species variability in detection during sampling and uncertainty in biological inferences. Assemblage-level conservation can link both species-specific needs and broader ecological dynamics, ultimately enabling effective strategies for conserving threatened species, ecological communities and ecosystem functions.","language":"English","publisher":"Springer Nature","doi":"10.1038/s44358-024-00014-9","usgsCitation":"Belitz, M., Campbell, C., Drum, R., Leuenberger, W., Morelli, T.L., Nail, K., Shirey, V., Thogmartin, W.E., and Zipken, E., 2025, A case for assemblage-level conservation to address the biodiversity crisis: Nature Reviews Biodiversity, v. 1, p. 134-143, https://doi.org/10.1038/s44358-024-00014-9.","productDescription":"10 p.","startPage":"134","endPage":"143","ipdsId":"IP-168709","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":498248,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s44358-024-00014-9","text":"Publisher Index Page"},{"id":483874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationDate":"2025-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Belitz, Michael W.","contributorId":352690,"corporation":false,"usgs":false,"family":"Belitz","given":"Michael W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":932011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, C.J. 0000-0002-8199-7775","orcid":"https://orcid.org/0000-0002-8199-7775","contributorId":345171,"corporation":false,"usgs":false,"family":"Campbell","given":"C.J.","email":"","affiliations":[{"id":82508,"text":"Bat Conservation International, 500 N Capital of Texas Highway, Austin, TX, 78746 USA","active":true,"usgs":false}],"preferred":false,"id":932012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drum, Ryan G.","contributorId":317901,"corporation":false,"usgs":false,"family":"Drum","given":"Ryan G.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":932013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leuenberger, Wendy","contributorId":352549,"corporation":false,"usgs":false,"family":"Leuenberger","given":"Wendy","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":932014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":932015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nail, Kelly","contributorId":352691,"corporation":false,"usgs":false,"family":"Nail","given":"Kelly","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":932016,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shirey, Vaughn","contributorId":352692,"corporation":false,"usgs":false,"family":"Shirey","given":"Vaughn","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":932017,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":932018,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zipken, Elise F.","contributorId":352695,"corporation":false,"usgs":false,"family":"Zipken","given":"Elise F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":932019,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70265047,"text":"70265047 - 2025 - Modeling the impacts of sand placement strategies on barrier island evolution in a semi-enclosed bay system","interactions":[],"lastModifiedDate":"2025-04-01T14:44:23.634338","indexId":"70265047","displayToPublicDate":"2025-01-19T09:39:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the impacts of sand placement strategies on barrier island evolution in a semi-enclosed bay system","docAbstract":"

This study assesses the impacts of five proposed restoration actions at Little Dauphin Island, a low-lying relic spit in a semi-enclosed bay system on the Alabama coast. A Delft3D model is developed to simulate annual scale (five-year) sediment transport and resulting bed level changes. The model is validated with observed water level and wave data, as well as sediment tracers that were deployed offshore of the island. An XBeach model is developed to simulate storm-driven morphologic change and is validated for hurricanes Ivan (2004), Katrina (2005)and Sally (2020). Together, the models are used to assess differences in the island's morphological response under a no-action (status quo) scenario representing a continuous island, tidal inlet realignment, a sand motor nourishment, beach and dune restoration and a dredged offshore borrow area. The no-action scenario revealed that the island breached at multiple locations including the location of the proposed inlet realignment during each storm. The realigned channel did not prevent breaching on the island, but reduced the magnitude of sand transported through the breaches. The sand motor provided some sheltering to leeward shorelines during storms but did not prevent breaching from occurring elsewhere. Fairweather waves and currents were not strong enough to transport sand outside of the vicinity of the feature to feed adjacent shorelines as intended. The beach and dune restoration reduced storm-driven overtopping along the nourished shoreline. For habitat purposes, strategically placed bayous provided low elevation points that allowed overwash depending on the direction of cross-barrier water level gradients.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2025.104697","usgsCitation":"Passeri, D., Mickey, R.C., Thompson, D.M., Itzkin, M., Godsey, E., Bilskie, M.V., Seymour, A.C., Poisson, A., Ikeda, J., and Hagen, S.C., 2025, Modeling the impacts of sand placement strategies on barrier island evolution in a semi-enclosed bay system: Coastal Engineering, v. 197, 104697, 17 p., https://doi.org/10.1016/j.coastaleng.2025.104697.","productDescription":"104697, 17 p.","ipdsId":"IP-160092","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2025.104697","text":"Publisher Index Page"},{"id":484063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Little Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.13726832368842,\n 30.288724454387562\n ],\n [\n -88.13726832368842,\n 30.24248531935423\n ],\n [\n -88.07138489364338,\n 30.24248531935423\n ],\n [\n -88.07138489364338,\n 30.288724454387562\n ],\n [\n -88.13726832368842,\n 30.288724454387562\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"197","noUsgsAuthors":false,"publicationDate":"2025-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mickey, Rangley C. 0000-0001-5989-1432 rmickey@usgs.gov","orcid":"https://orcid.org/0000-0001-5989-1432","contributorId":141016,"corporation":false,"usgs":true,"family":"Mickey","given":"Rangley","email":"rmickey@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science 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University","active":true,"usgs":false}],"preferred":false,"id":932417,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ikeda, Jin","contributorId":352910,"corporation":false,"usgs":false,"family":"Ikeda","given":"Jin","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":932418,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":932419,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70271950,"text":"70271950 - 2025 - Strong shaking from past Cascadia Subduction Zone earthquakes encoded in coastal landforms","interactions":[],"lastModifiedDate":"2025-09-25T14:21:23.996616","indexId":"70271950","displayToPublicDate":"2025-01-18T09:09:54","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":"Strong shaking from past Cascadia Subduction Zone earthquakes encoded in coastal landforms","docAbstract":"

Strong earthquakes along subduction zones are often devastating events, but sparse records along some tectonic margins limit our understanding of seismic hazards. Constraining shaking intensities is critical, especially in subduction zones with infrequent but large-magnitude earthquakes like the Cascadia Subduction Zone (CSZ), where the lack of recorded ground motions has led to uncertainty in the severity and potential impacts of future earthquakes. Here we fill this observational gap with a novel inventory of quantitative estimates of past shaking intensities from geotechnical modeling of coastal landforms. One hundred fifty-four deep-seated landslides and 65 fragile geologic features constrain minimum and maximum peak ground accelerations, respectively. These estimates are broadly consistent with model predictions of M9 ruptures, suggesting strong shaking of 0.4–0.8 g during past CSZ earthquakes. Local discrepancies between our geologic shaking constraints and earthquake simulations may inform past rupture behavior, leading to better predictions of shaking intensity for future earthquakes.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL112417","usgsCitation":"LaHusen, S.R., Grant, A.R., Perkins, J.P., and McPhillips, D., 2025, Strong shaking from past Cascadia Subduction Zone earthquakes encoded in coastal landforms: Geophysical Research Letters, v. 52, no. 2, e2024GL112417, 11 p., https://doi.org/10.1029/2024GL112417.","productDescription":"e2024GL112417, 11 p.","ipdsId":"IP-161618","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":496164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl112417","text":"Publisher Index Page"},{"id":496078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascadia Subduction Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126,\n 49\n ],\n [\n -126,\n 42\n ],\n [\n -122,\n 42\n ],\n [\n -122,\n 49\n ],\n [\n -126,\n 49\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"LaHusen, Sean Richard 0000-0003-4246-4439","orcid":"https://orcid.org/0000-0003-4246-4439","contributorId":294677,"corporation":false,"usgs":true,"family":"LaHusen","given":"Sean","email":"","middleInitial":"Richard","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":949471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":949472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, Jonathan P. 0000-0002-6113-338X","orcid":"https://orcid.org/0000-0002-6113-338X","contributorId":237053,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":949473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McPhillips, Devin 0000-0003-1987-9249","orcid":"https://orcid.org/0000-0003-1987-9249","contributorId":217362,"corporation":false,"usgs":true,"family":"McPhillips","given":"Devin","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949474,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263374,"text":"70263374 - 2025 - Evidence for nonlocal sediment transport on hillslopes from fault scarp morphology","interactions":[],"lastModifiedDate":"2025-04-17T15:29:01.114843","indexId":"70263374","displayToPublicDate":"2025-01-17T11:51:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for nonlocal sediment transport on hillslopes from fault scarp morphology","docAbstract":"

Hillslope sediment transport processes such as bioturbation, rainsplash, and granular mechanics occur across the entire planet. Yet, it remains uncertain how these small-scale processes act together to shape landscapes. Longstanding hillslope diffusion theory posits that hillslope processes are spatially limited, whereas new concepts of nonlocal sediment transport argue otherwise. However, each theory produces subtly different, but distinct, predictions for the evolution of fault scarps. We use the topographic change of fault scarps to demonstrate that hillslope processes produce nonlocal sediment transport. Analysis of a global compilation of 340 dated single-earthquake scarp profiles reveals a statistically significant (p < 0.05) relationship between scarp age and scarp asymmetry, here defined as the ratio of imaginary to real components of the Fourier transform of absolute slope. Numerical simulations show that nonlocal models predict this relationship, whereas hillslope diffusion models do not. To further investigate this result, we examined the depositional geometry of a well-exposed colluvial wedge along the Wasatch fault in central Utah, United States. Our quantitative comparison between the exposure and numerical simulations reveals better agreement with the nonlocal model. Nonlocal sediment transport theory appears to best capture the physics of how hillslope processes shape fault scarps, yet hillslope diffusion provides a useful approximation in many cases. As the processes that act on fault scarps are nearly identical to those acting on hillslopes, our results provide evidence supporting nonlocality as a generalized model of hillslope sediment transport.

","language":"English","publisher":"GeoScienceWorld","doi":"10.1130/G52987.1","usgsCitation":"Gray, H., Doane, T., Nicovich, S.R., DuRoss, C., and Gold, R.D., 2025, Evidence for nonlocal sediment transport on hillslopes from fault scarp morphology: Geology, v. 53, no. 4, p. 323-327, https://doi.org/10.1130/G52987.1.","productDescription":"5 p.","startPage":"323","endPage":"327","ipdsId":"IP-157983","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":481815,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"53","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":926684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doane, Tyler","contributorId":350701,"corporation":false,"usgs":false,"family":"Doane","given":"Tyler","affiliations":[{"id":83812,"text":"University of Indiana Bloomington","active":true,"usgs":false}],"preferred":false,"id":926685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicovich, Sylvia R. 0000-0003-4280-4034","orcid":"https://orcid.org/0000-0003-4280-4034","contributorId":341909,"corporation":false,"usgs":true,"family":"Nicovich","given":"Sylvia","email":"","middleInitial":"R.","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":926686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":926688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262530,"text":"70262530 - 2025 - Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration","interactions":[],"lastModifiedDate":"2025-01-21T16:50:31.327281","indexId":"70262530","displayToPublicDate":"2025-01-17T10:47:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration","docAbstract":"

Conservationists are increasingly leveraging systematic conservation planning (SCP) to inform restoration actions that enhance biodiversity. However, restoration frequently drives ecological transformations at local scales, potentially resulting in trade-offs among wildlife species and communities. The Conservation Interactions Principle (CIP), coined more than 15 years ago, cautions SCP practitioners regarding the importance of jointly and fully evaluating conservation outcomes across the landscape over long timeframes. However, SCP efforts that guide landscape restoration have inadequately addressed the CIP by failing to tabulate the full value of the current ecological state. The increased application of SCP to inform restoration, reliance on increasingly small areas to sustain at-risk species and ecological communities, ineffective considerations for the changing climate, and increasing numbers of at-risk species, are collectively intensifying the need to consider unintended consequences when prioritizing sites for restoration. Improper incorporation of the CIP in SCP may result in inefficient use of conservation resources through opportunity costs and/or conservation actions that counteract one another. We suggest SCP practitioners can avoid these consequences through a more detailed accounting of the current ecological benefits to better address the CIP when conducting restoration planning. Specifically, forming interdisciplinary teams with expertise in the current and desired ecosystem states at candidate conservation sites; improving data availability; modeling and computational advancements; and applying structured decision-making approaches can all improve the integration of the CIP in SCP efforts. Improved trade-off assessment, spanning multiple ecosystems or states, can facilitate efficient, proactive, and coordinated SCP applications across space and time. In doing so, SCP can effectively guide the siting of restoration actions capable of promoting the full suite of biodiversity in a region.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70020","usgsCitation":"Van Lanen, N.J., Duchardt, C., Pejchar, L., Shyvers, J., and Aldridge, C.L., 2025, Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration: Global Change Biology, v. 31, no. 1, e70020, 8 p., https://doi.org/10.1111/gcb.70020.","productDescription":"e70020, 8 p.","ipdsId":"IP-164188","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":481026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70020","text":"Publisher Index Page"},{"id":480835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Lanen, Nicholas J. 0000-0003-0871-0261","orcid":"https://orcid.org/0000-0003-0871-0261","contributorId":302927,"corporation":false,"usgs":true,"family":"Van Lanen","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":924473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duchardt, C.J.","contributorId":349573,"corporation":false,"usgs":false,"family":"Duchardt","given":"C.J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":924474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pejchar, L.","contributorId":349574,"corporation":false,"usgs":false,"family":"Pejchar","given":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":924475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shyvers, J.E.","contributorId":349575,"corporation":false,"usgs":false,"family":"Shyvers","given":"J.E.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":924476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":924477,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262522,"text":"70262522 - 2025 - From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams","interactions":[],"lastModifiedDate":"2025-01-22T14:45:54.773366","indexId":"70262522","displayToPublicDate":"2025-01-17T09:57:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams","docAbstract":"

Subsidy–stress gradients offer a useful framework for understanding ecological responses to perturbation and may help inform ecological metrics in highly modified systems. Historic, region-wide shifts from bottomland hardwood forest to row crop agriculture can cause positively skewed impact gradients in alluvial plain ecoregions, resulting in tolerant organisms that typically exhibit a subsidy response (increased abundance in response to environmental stressors) shifting to a stress response (declining abundance at higher concentrations). As a result, observed biological tolerance in modified ecosystems may differ from less modified regions, creating significant challenges for detecting biological responses to restoration efforts. Using the agriculturally dominated Mississippi Alluvial Plain (MAP) ecoregion in Mississippi, USA, as a case study, we tested the hypothesis that macroinvertebrate taxa that typically display a subsidy response to nutrient enrichment in less modified ecoregions (i.e., nutrient-tolerance) shift to a stress response to increasing nutrients in highly modified watersheds with elevated baseline nutrient conditions (i.e., nutrient intolerance). The abundance and diversity of MAP-specific intolerant taxa identified with threshold indicator taxa analysis were either unresponsive or exhibited a subsidy response to increasing nutrients in less modified ecoregions in Mississippi with less land alteration and lower nutrient concentrations, but declined at higher concentrations, providing evidence for a stress response to elevated nutrients in the MAP. Additionally, MAP-specific tolerant and intolerant taxa richness responded to increased nutrients predictably and consistently across space and time within the MAP. However, in MAP streams, elevated specific conductance was predicted to dampen the response of tolerant and intolerant taxa richness to increasing nutrient concentrations, highlighting the importance of considering multistressor interactions when interpreting biological data. Lastly, we demonstrate the efficacy of this approach with sediment bacterial communities characterized with amplicon sequencing, which lack sufficient life history characteristics necessary for the development of multimetric indices. Both macroinvertebrate and bacterial communities responded similarly to increasing nutrient concentrations, suggesting DNA-based approaches may provide an efficient biological assessment tool for monitoring water quality improvements in highly modified watersheds.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3086","usgsCitation":"Devilbiss, S., Taylor, J., and Hicks, M.B., 2025, From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams: Ecological Applications, v. 35, no. 1, e3086, 21 p., https://doi.org/10.1002/eap.3086.","productDescription":"e3086, 21 p.","ipdsId":"IP-159539","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":481027,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.3086","text":"Publisher Index Page"},{"id":480830,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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In the arid western Snake River Plain around the City of Mountain Home, Idaho, declining groundwater levels concern agricultural, municipal, and other water users who rely on groundwater for sustenance because surface-water resources are limited. The U.S. Geological Survey developed this hydrogeologic framework to provide an updated characterization of groundwater resources in the western Snake River Plain around the City of Mountain Home. The hydrogeologic framework comprises: (1) a conceptual description of hydrogeologic units, (2) a three-dimensional hydrogeologic model and borehole database, (3) a map of groundwater levels and change, and (4) a discussion of groundwater occurrence and movement within the study area. Hydrogeologic units were defined based on existing literature and the borehole database compiled for this study; the five hydrogeologic units are granite, rhyolite, basalt, fine-grained sediments, and coarse-grained sediments. Each unit can bear water, but the main regional aquifer in the study area occurs in the basalt and fine-grained sediment units with depth to water ranging from 150 to 765 feet. A perched groundwater zone near the City of Mountain Home is primarily hosted in basalt and used domestically with most depths to water ranging from 30 to 100 feet. Interflow zones, scoria, and vertical fractures create heterogeneity within the basalt hydrogeologic unit that exerts strong control on groundwater movement, creating horizontal perching conditions and zones of enhanced vertical conductivity that facilitate downward groundwater percolation. In the fine- and coarse-grained sediments and rhyolite units, inferred faults both impede and enhance groundwater movement. The borehole database was constructed by digitizing 540 well-driller reports and was used to build a three-dimensional hydrogeologic framework model which reasonably represents the spatial distribution of hydrogeologic units in the study area. Generally, fine-grained sediments underlie much of the study area, with basalt concentrated in the central and western study area and rhyolite and granite in the uplands to the north. Groundwater levels were measured in 180 wells in March and November 2023; these data were used to develop water-table contour maps and describe groundwater-level change over an irrigation season. Groundwater generally flows south-southwest to the Snake River and groundwater levels declined across most of the study area (from 0.03 to 22.01 feet) between spring and autumn 2023, which is consistent with long-term declines in the Cinder Cone Butte Critical Groundwater Area and Mountain Home Groundwater Management Area. Groundwater levels rose (0.6 to 15.44 feet) over the irrigation season in most wells in the perched groundwater zone near the City of Mountain Home and near the Snake River, indicating the importance of surface-water recharge to groundwater in areas where surface water irrigation occurs. In aggregate, this hydrogeologic framework provides an updated characterization of and new insights into groundwater resources in the study area to help inform water resources management.

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Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4250

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