{"pageNumber":"102","pageRowStart":"2525","pageSize":"25","recordCount":165309,"records":[{"id":70261692,"text":"70261692 - 2025 - Deformation of Mauna Loa volcano before, during, and after its 2022 eruption","interactions":[],"lastModifiedDate":"2024-12-18T16:28:52.412428","indexId":"70261692","displayToPublicDate":"2024-12-16T10:24:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Deformation of Mauna Loa volcano before, during, and after its 2022 eruption","docAbstract":"<p><span>Mauna Loa on the Island of Hawaiʻi erupted on 27 November 2022, the first eruption since 1984, which marked the culmination of decades-long period of non-eruptive unrest and relative quiescence. We briefly describe the evolution of the USGS Hawaiian Volcano Observatory’s geodetic monitoring network at Mauna Loa and show patterns of deformation as measured by Global Navigation Satellite Systems (GNSS), interferometric synthetic aperture radar (InSAR), and borehole tilt. We highlight the long-term buildup and the imminent pre-eruptive geodetic signals, including subtle changes observed in early 2021 that suggested a potential eruption. We then describe the significant ramp up of activity in September 2022 that provided strong evidence of likely impending eruptive activity. Of particular importance are the first borehole tilt excursions related to magma movement measured at Mauna Loa’s summit, which began in 2021 and were accompanied by increased rates of seismicity. In addition to describing the evolution of surface displacements, we also model the co-eruption deformation, which can be fit by dike-like opening that matches the geometry of the surface eruptive fissures.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-024-01788-8","usgsCitation":"Ellis, A.P., Johanson, I.A., and Poland, M.P., 2025, Deformation of Mauna Loa volcano before, during, and after its 2022 eruption: Bulletin of Volcanology, v. 86, 8, 21 p., https://doi.org/10.1007/s00445-024-01788-8.","productDescription":"8, 21 p.","ipdsId":"IP-166686","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.77858977944825,\n              19.66170435533985\n            ],\n            [\n              -155.77858977944825,\n              19.292719970106006\n            ],\n            [\n              -155.33491746947445,\n              19.292719970106006\n            ],\n            [\n              -155.33491746947445,\n              19.66170435533985\n            ],\n            [\n              -155.77858977944825,\n              19.66170435533985\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"86","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ellis, Andria P. 0000-0003-2543-0640","orcid":"https://orcid.org/0000-0003-2543-0640","contributorId":305983,"corporation":false,"usgs":true,"family":"Ellis","given":"Andria","email":"","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":921446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":921447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":921448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266432,"text":"70266432 - 2025 - First records distribution models to guide biosurveillance for non-native species","interactions":[],"lastModifiedDate":"2025-05-06T13:48:33.176393","indexId":"70266432","displayToPublicDate":"2024-12-16T08:44:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"First records distribution models to guide biosurveillance for non-native species","docAbstract":"<p><span>Quickly locating new populations of non-native species can reduce the ecological and economic costs of species invasions. However, the difficulty of predicting which new non-native species will establish, and where, has limited active post-border biosurveillance efforts. Because pathways of introduction underlie spatial patterns of establishment risk, an intuitive approach is to search for new non-native species in areas where many non-native species have first been detected in the past. We formalize this intuition via first records distribution models (FRDMs), which apply species distribution modeling methods to the collection of first occurrence records across species (i.e. one record per species). We define FRDMs as statistical models that quantify environmental conditions associated with species' first naturalized records to predict spatial patterns of establishment risk. We model the first records of non-native plants in the conterminous USA as a proof-of-concept. The novelty of FRDMs is that their inferences apply not just to the species that contributed data; they provide a rigorous framework for predicting hotspots of invasion for new non-native taxa that share a pathway of introduction with the modeled species. FRDMs can guide survey efforts for new non-native taxa at multiple scales and across ecosystems.</span></p>","language":"English","publisher":"Nordic Society Oikos","doi":"10.1111/ecog.07522","usgsCitation":"Sofaer, H., Williams, D.A., Jarnevich, C.S., Shadwell, K.S., Kittle, C., Pearse, I.S., Fortini, L., and Brock, K., 2025, First records distribution models to guide biosurveillance for non-native species: Ecography, v. 2025, no. 4, e07522, 10 p., https://doi.org/10.1111/ecog.07522.","productDescription":"e07522, 10 p.","ipdsId":"IP-162607","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":490101,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.07522","text":"Publisher Index 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Caroline","contributorId":354586,"corporation":false,"usgs":false,"family":"Kittle","given":"Caroline","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":935921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":935922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research 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,{"id":70262818,"text":"70262818 - 2025 - Participatory engagement to reduce communication gaps","interactions":[],"lastModifiedDate":"2025-04-28T14:58:06.529283","indexId":"70262818","displayToPublicDate":"2024-12-14T08:57:57","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":"Participatory engagement to reduce communication gaps","docAbstract":"<p><span>Underserved communities, especially those in coastal areas in Puerto Rico, face significant threats from natural hazards such as hurricanes and rising sea levels. Limited funding hinders the investment in costly mitigation measures, increasing exposure to natural disasters. Providing coastal resources and data products through effective communication mechanisms is fundamental to improving the well-being of these underserved coastal communities. The overall objectives of the pilot effort to engage and connect with underserved coastal communities in Puerto Rico were the following: (1) compile a comprehensive database of the projects and resources relevant to natural hazards in Puerto Rico; (2) foster connections with Puerto Rican interested parties to better understand their priorities regarding coastal hazards and provide them with pertinent U.S. Geological Survey (USGS) resources; and (3) identify knowledge gaps to guide future USGS projects in Puerto Rico. Here we outline our participatory engagement framework and process, along with two specific resources developed with the information collected from this effort. These resources are available in English and Spanish and consist of user-friendly, non-technical information products. Among them are: (1) a website where users can learn about USGS research on landslides, hurricanes, earthquakes, water resources, coastal hazards, tsunamis, and ecosystem hazards and environmental contaminants, and (2) a geonarrative highlighting shoreline changes in Puerto Rico with sections on historical shoreline trends, hurricane impacts, and potential solutions that could help protect communities and mitigate coastal hazards. Continuing participatory engagement in future projects could enhance the accessibility and usability of natural hazards resources within the community.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11069-024-06860-2","usgsCitation":"Torres-Garcia, L.M., Valdés Pizzini, M., Valdés-Calderón, K., Frank-Gilchrist, D.P., Kotowicz, D., Maldonado, E., and Vargas-Babilonia, P., 2025, Participatory engagement to reduce communication gaps: Natural Hazards, v. 121, p. 6367-6390, https://doi.org/10.1007/s11069-024-06860-2.","productDescription":"24 p.","startPage":"6367","endPage":"6390","ipdsId":"IP-158218","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":480984,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":481045,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-024-06860-2","text":"Publisher Index Page"}],"country":"United States","city":"San Juan","otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -66.0659062782679,\n              18.46319106779258\n            ],\n            [\n              -66.0659062782679,\n              18.449924094571088\n            ],\n            [\n              -66.03964964413582,\n              18.449924094571088\n            ],\n            [\n              -66.03964964413582,\n              18.46319106779258\n            ],\n            [\n              -66.0659062782679,\n              18.46319106779258\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"121","noUsgsAuthors":false,"publicationDate":"2024-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Torres-Garcia, Legna M. 0000-0002-6786-5944 ltorresgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-5944","contributorId":196150,"corporation":false,"usgs":true,"family":"Torres-Garcia","given":"Legna","email":"ltorresgarcia@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":924895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valdés Pizzini, Manuel 0000-0001-5288-9903","orcid":"https://orcid.org/0000-0001-5288-9903","contributorId":349831,"corporation":false,"usgs":false,"family":"Valdés Pizzini","given":"Manuel","affiliations":[{"id":83520,"text":"Interdisciplinary Center for Coastal Studies (CIEL) at the University of Puerto Rico in Mayagüez","active":true,"usgs":false}],"preferred":false,"id":924896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valdés-Calderón, Krystalliá 0009-0000-1209-9245","orcid":"https://orcid.org/0009-0000-1209-9245","contributorId":349832,"corporation":false,"usgs":false,"family":"Valdés-Calderón","given":"Krystalliá","affiliations":[{"id":83520,"text":"Interdisciplinary Center for Coastal Studies (CIEL) at the University of Puerto Rico in Mayagüez","active":true,"usgs":false}],"preferred":false,"id":924897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frank-Gilchrist, Donya P. 0000-0002-7146-0069","orcid":"https://orcid.org/0000-0002-7146-0069","contributorId":292926,"corporation":false,"usgs":true,"family":"Frank-Gilchrist","given":"Donya","email":"","middleInitial":"P.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":924898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kotowicz, Dawn Marie 0000-0003-4614-9049","orcid":"https://orcid.org/0000-0003-4614-9049","contributorId":315551,"corporation":false,"usgs":true,"family":"Kotowicz","given":"Dawn Marie","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":924899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maldonado, Emmanuel 0009-0001-6519-0146","orcid":"https://orcid.org/0009-0001-6519-0146","contributorId":349833,"corporation":false,"usgs":false,"family":"Maldonado","given":"Emmanuel","affiliations":[{"id":83520,"text":"Interdisciplinary Center for Coastal Studies (CIEL) at the University of Puerto Rico in Mayagüez","active":true,"usgs":false}],"preferred":false,"id":924900,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vargas-Babilonia, Priscila 0000-0003-3913-9010","orcid":"https://orcid.org/0000-0003-3913-9010","contributorId":292925,"corporation":false,"usgs":true,"family":"Vargas-Babilonia","given":"Priscila","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":924901,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261653,"text":"70261653 - 2025 - Imperiled Great Basin terminal lakes: Synthesizing ecological and hydrological science gaps and research needs for waterbird conservation","interactions":[],"lastModifiedDate":"2025-03-11T14:50:45.705327","indexId":"70261653","displayToPublicDate":"2024-12-13T10:04:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Imperiled Great Basin terminal lakes: Synthesizing ecological and hydrological science gaps and research needs for waterbird conservation","docAbstract":"<p><span>Terminal lakes are declining globally because of human water demands, drought, and climate change. Through literature synthesis and feedback from the resource and conservation community, we review the state of research for terminal lakes in the Great Basin of the United States, which support millions of waterbirds annually, to prioritize ecological and hydrologic information needs. From an ecological perspective, research priorities include measuring the underlying differences in waterbird resource selection and distribution, migratory connectivity, abiotic factors that interact with prey densities to affect prey availability, and waterbird fitness or demography. Integrated links between water availability, water quality, and food webs are lacking in the literature. Scarce water availability data hinder the current knowledge of water extraction and evapotranspiration rates. Research that can address these priorities would help advance our understanding of how the Great Basin terminal lakes function as an interrelated system and support conservation efforts to reverse the decline of these critical lakes.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biae126","usgsCitation":"Herring, G., Whipple, A.L., Aldridge, C.L., Pulver, B.A., Eagles-Smith, C., Inman, R.D., Matchett, E., Monroe, A., Orning, E.K., Robb, B.S., Shyvers, J.E., Tarbox, B.C., Van Schmidt, N.D., Smith, C., Holloran, M., Overton, C.T., O’Leary, D., Casazza, M.L., and Frus, R., 2025, Imperiled Great Basin terminal lakes: Synthesizing ecological and hydrological science gaps and research needs for waterbird conservation: BioScience, v. 75, no. 2, p. 112-126, https://doi.org/10.1093/biosci/biae126.","productDescription":"15 p.","startPage":"112","endPage":"126","ipdsId":"IP-154086","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":466716,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biae126","text":"Publisher Index Page"},{"id":465197,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada, Oregon, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.95802621065434,\n              40.602202067702706\n            ],\n            [\n              -111.91075053297536,\n              41.926282987324186\n            ],\n            [\n              -116.02964922086898,\n              41.37857827747541\n            ],\n            [\n              -117.75448194038322,\n              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]\n}","volume":"75","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":921298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whipple, Ashley L. 0000-0002-0304-7643","orcid":"https://orcid.org/0000-0002-0304-7643","contributorId":300552,"corporation":false,"usgs":true,"family":"Whipple","given":"Ashley","email":"","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science 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0000-0002-1376-729X","orcid":"https://orcid.org/0000-0002-1376-729X","contributorId":315548,"corporation":false,"usgs":true,"family":"Orning","given":"Elizabeth","email":"","middleInitial":"Kari","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":921306,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Robb, Benjamin Seward 0000-0003-1419-3918","orcid":"https://orcid.org/0000-0003-1419-3918","contributorId":328990,"corporation":false,"usgs":true,"family":"Robb","given":"Benjamin","email":"","middleInitial":"Seward","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":921307,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shyvers, Jessica E. 0000-0002-4307-0004","orcid":"https://orcid.org/0000-0002-4307-0004","contributorId":288929,"corporation":false,"usgs":true,"family":"Shyvers","given":"Jessica","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":921308,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tarbox, Bryan C. 0000-0001-5040-3949","orcid":"https://orcid.org/0000-0001-5040-3949","contributorId":288930,"corporation":false,"usgs":true,"family":"Tarbox","given":"Bryan","email":"","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":921309,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Van Schmidt, Nathan D.","contributorId":347307,"corporation":false,"usgs":false,"family":"Van Schmidt","given":"Nathan","email":"","middleInitial":"D.","affiliations":[{"id":17738,"text":"San Francisco Bay Bird Observatory","active":true,"usgs":false}],"preferred":false,"id":921310,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Smith, Cassandra 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":193491,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921311,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Holloran, Matthew J.","contributorId":347310,"corporation":false,"usgs":false,"family":"Holloran","given":"Matthew J.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":921312,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":921313,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"O’Leary, David 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":139900,"corporation":false,"usgs":true,"family":"O’Leary","given":"David","email":"doleary@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921314,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":921315,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Frus, Rebecca J. 0000-0002-2435-7202","orcid":"https://orcid.org/0000-0002-2435-7202","contributorId":340187,"corporation":false,"usgs":false,"family":"Frus","given":"Rebecca J.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":921316,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70266325,"text":"70266325 - 2025 - Neonate morphometrics and lambing season characteristics of desert bighorn sheep","interactions":[],"lastModifiedDate":"2025-05-05T15:00:43.815739","indexId":"70266325","displayToPublicDate":"2024-12-13T09:56:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2652,"text":"Mammalia","active":true,"publicationSubtype":{"id":10}},"title":"Neonate morphometrics and lambing season characteristics of desert bighorn sheep","docAbstract":"<p><span>Desert bighorn sheep (</span><i>Ovis canadensis</i><span>) populations often occur in remote areas at low densities, leading to gaps in knowledge of life history. In November 2011, we translocated 11 female desert bighorn sheep from the Fra Cristobal Mountains and 9 from Red Rock Wildlife Management Area (RRWMA) to the Peloncillo Mountains in southwestern New Mexico. In December 2012, we captured 21 adult females in the Peloncillo Mountains, 14 of which were recaptured from 2011. We fitted each animal with a very high frequency (VHF) collar and vaginal implant transmitter (VIT) to monitor for parturition. We captured 26 lambs (5 females, 7 males in 2012; 7 males, 7 females in 2013), recorded morphometric measurements and fitted lambs with VHF collars to monitor survival. Over the study, 14 lambs died, with 12 mortalities from predation, one from abandonment, and one from unknown causes. Lambing season was protracted over 3–4&nbsp;months and survival was unrelated to birth timing. Body mass differences between sex varied by year, suggesting a connection to annual climate. Because most studies focus on captive animals with access to supplemental food, captive lambs may not be representative of free-ranging populations. Thus, we investigated morphological trends in a free-ranging population.</span></p>","language":"English","publisher":"De Gruyter Brill","doi":"10.1515/mammalia-2024-0074  ‌","usgsCitation":"Parikh, G., Karsch, R., Cain, J.W., Rominger, E.M., and Goldstein, E.J., 2025, Neonate morphometrics and lambing season characteristics of desert bighorn sheep: Mammalia, v. 89, no. 2, p. 121-130, https://doi.org/10.1515/mammalia-2024-0074  ‌.","productDescription":"10 p.","startPage":"121","endPage":"130","ipdsId":"IP-166495","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Parikh, Grace L.","contributorId":354418,"corporation":false,"usgs":false,"family":"Parikh","given":"Grace L.","affiliations":[{"id":84629,"text":"Department of Fish Wildlife and Conservation Ecology","active":true,"usgs":false}],"preferred":false,"id":935611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karsch, Rebekah C.","contributorId":64159,"corporation":false,"usgs":true,"family":"Karsch","given":"Rebekah C.","affiliations":[],"preferred":false,"id":935612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rominger, Eric M.","contributorId":217500,"corporation":false,"usgs":false,"family":"Rominger","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":935614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstein, Elise J.","contributorId":217499,"corporation":false,"usgs":false,"family":"Goldstein","given":"Elise","email":"","middleInitial":"J.","affiliations":[{"id":39654,"text":"nmdgf","active":true,"usgs":false}],"preferred":false,"id":935615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261670,"text":"70261670 - 2025 - Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (Oreamnos americanus)","interactions":[],"lastModifiedDate":"2025-01-27T16:44:31.632325","indexId":"70261670","displayToPublicDate":"2024-12-13T09:50:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (<i>Oreamnos americanus</i>)","title":"Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (Oreamnos americanus)","docAbstract":"<p><span>Climate change is occurring at an accelerated rate in high-elevation alpine and mountain ecosystems. Cold-adapted, mountain species are at risk due to forecasted change and knowledge is needed to respond to current and future conservation challenges. Mountain goats (</span><i>Oreamnos americanus</i><span>) are an iconic species of North American mountain cultures and landscapes, and due to specialized adaptations for life in cold, mountainous environments they are particularly sensitive to changes in weather and climate. As sentinels of change in alpine ecosystems, the study of mountain goats offers insight into the ecological effects and conservation challenges associated with climate change in these sensitive and biodiverse environments. Here, we synthesize existing knowledge about how climate change is expected to influence environmental conditions experienced by mountain goats and associated mechanistic changes to behavior, nutritional ecology, demography, health, and interspecific interactions. In many instances, climate change effects are likely to be negative and additive to existing threats (such as human disturbance, hunting, disease, predation) though benefits are expected in some cases. Changes in climate and mountain environments will necessitate re-examination and modification of population monitoring, management, and conservation strategies. Specifically, spatiotemporal (and other) aspects of monitoring and management may need to be adjusted to accommodate emerging and novel conservation challenges. Yet, key data and knowledge gaps remain and should be addressed to advance conservation and decision-making capabilities. For mountain goats and similarly climate-sensitive alpine herbivores, effective conservation will ultimately benefit from collaborations among diverse networks guided by well-planned, strategic visions focused on common ground – namely the resiliency and persistence of culturally and ecologically significant mountain species and the alpine environment they inhabit.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2024.e03364","usgsCitation":"White, K., Cadsand, B., Cote, S.D., Graves, T., Hamel, S., Harris, R.B., Hayes, F., Hood, E., Hurley, K., Jessen, T., Jex, B., Peitzsch, E.H., Sarmento, W., Schwantje, H.M., and Berger, J., 2025, Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (Oreamnos americanus): Global Ecology and Conservation, v. 57, e03364, 19 p., https://doi.org/10.1016/j.gecco.2024.e03364.","productDescription":"e03364, 19 p.","ipdsId":"IP-166738","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466717,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2024.e03364","text":"Publisher Index Page"},{"id":465278,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Alberta, British Columbia, Idaho, Montana, Northwest Territories, Oregon, Washington, Yukon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.52740428045206,\n              43.126862105716015\n            ],\n            [\n              -112.52625648619443,\n              43.10805069125277\n            ],\n            [\n              -110.41656112208216,\n              46.00411624911669\n            ],\n            [\n              -122.41072033247411,\n              63.43014069463413\n            ],\n            [\n              -148.6622869536442,\n              61.80821876885935\n            ],\n            [\n              -152.1644301328432,\n              59.3980192805023\n            ],\n            [\n              -147.75430481085388,\n              59.95192283531884\n            ],\n            [\n              -143.9376556572404,\n              60.14020171501804\n            ],\n            [\n              -138.16173053060783,\n              59.17713932003667\n            ],\n            [\n              -134.98292774303908,\n              56.29039401011454\n            ],\n            [\n              -131.16827590575502,\n              55.350886192731\n            ],\n            [\n              -128.0089454906319,\n              50.475368698966435\n            ],\n            [\n              -122.93240762130674,\n              46.57509255373344\n            ],\n            [\n              -120.52740428045206,\n              43.126862105716015\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Kevin 0000-0002-5231-6045","orcid":"https://orcid.org/0000-0002-5231-6045","contributorId":336590,"corporation":false,"usgs":false,"family":"White","given":"Kevin","email":"","affiliations":[{"id":80796,"text":"1Program on the Environment, University of Alaska Southeast; 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,{"id":70267351,"text":"70267351 - 2025 - Intrinsic and environmental drivers of pairwise cohesion in wild Canis social groups","interactions":[],"lastModifiedDate":"2025-05-20T16:12:45.6849","indexId":"70267351","displayToPublicDate":"2024-12-12T10:20:46","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}},"displayTitle":"Intrinsic and environmental drivers of pairwise cohesion in wild <i>Canis</i> social groups","title":"Intrinsic and environmental drivers of pairwise cohesion in wild Canis social groups","docAbstract":"<p><span>Animals within social groups respond to costs and benefits of sociality by adjusting the proportion of time they spend in close proximity to other individuals in the group (cohesion). Variation in cohesion between individuals, in turn, shapes important group-level processes such as subgroup formation and fission–fusion dynamics. Although critical to animal sociality, a comprehensive understanding of the factors influencing cohesion remains a gap in our knowledge of cooperative behavior in animals. We tracked 574 individuals from six species within the genus&nbsp;</span><i>Canis</i><span>&nbsp;in 15 countries on four continents with GPS telemetry to estimate the time that pairs of individuals within social groups spent in close proximity and test hypotheses regarding drivers of cohesion. Pairs of social canids (</span><i>Canis</i><span>&nbsp;spp.) varied widely in the proportion of time they spent together (5%–100%) during seasonal monitoring periods relative to both intrinsic characteristics and environmental conditions. The majority of our data came from three species of wolves (gray wolves, eastern wolves, and red wolves) and coyotes. For these species, cohesion within social groups was greatest between breeding pairs and varied seasonally as the nature of cooperative activities changed relative to annual life history patterns. Across species, wolves were more cohesive than coyotes. For wolves, pairs were less cohesive in larger groups, and when suitable, small prey was present reflecting the constraints of food resources and intragroup competition on social associations. Pair cohesion in wolves declined with increased anthropogenic modification of the landscape and greater climatic variability, underscoring challenges for conserving social top predators in a changing world. We show that pairwise cohesion in social groups varies strongly both within and across&nbsp;</span><i>Canis</i><span>&nbsp;species, as individuals respond to changing ecological context defined by resources, competition, and anthropogenic disturbance. Our work highlights that cohesion is a highly plastic component of animal sociality that holds significant promise for elucidating ecological and evolutionary mechanisms underlying cooperative behavior.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4492","usgsCitation":"Benson, J.F., Keiter, D.A., Mahoney, P., Allen, B.L., Allen, L.R., Álvares, F., Anderson, M., Barber-Meyer, S., Barocas, A., Beasley, J.C., Behrendorff, L., Belant, J., Beyer, D., Boitani, L., Borg, B.L., Boutin, S., Boydston, E., Brown, J.L., Bump, J.K., Cepek, J., Chamberlain, M.J., Chenaux-Ibrahim, Y., Cherry, S., Ćirović, D., Ciucci, P., Cluff, H., Cooper, S.M., Crooks, K., Dupont, D., Fisher, R., Fortin, D., Gable, T.D., Garcia, E., Geffen, E., Gehrt, S., Gillingham, M., Heard, D., Hebblewhite, M., Hinton, J.W., Homkes, A., Howden, C., Huber, D., Jackson, P.J., Joly, K., Kelly, A.P., Kelly, M., Kingdon, K., Kulkarni, A., Kusak, J., Kuzyk, G., Lake, B.C., Llaneza, L., Lopez-Bao, J.V., MacNulty, D., McLaren, A., McLoughlin, P., Merrill, E.H., Mills, K., Mitchell, N., Moore, S., Mumma, M., Murray, M., Musiani, M., Nakamura, M., Neilson, E., Neufeld, L., Newsome, T., Oakleaf, J., Palacios, V., Perdicas, M., Perry, T., Petroelje, T., Piper, C., Prokopenko, C., Prugh, L., Riley, S.P., Rio-Maior, H., Roffler, G., Rollins, D., Sand, H., Schmiegelow, F.K., Seip, D.R., Sorum, M.S., St. Clair, C., Steenweg, R., Strohbach, M., Tatler, J., Thaker, M., Thompson, C., Turner, J., Vanak, A.T., Vander Wal, E., Wabakken, P., Walter, S., Webster, S., Wheeldon, T., Wikenros, C., Windels, S.K., Young, J., Zabihi-Seissan, S., Zimmermann, B., and Patterson, B., 2025, Intrinsic and environmental drivers of pairwise cohesion in wild Canis social groups: Ecology, v. 106, no. 1, e4492, 22 p., https://doi.org/10.1002/ecy.4492.","productDescription":"e4492, 22 p.","ipdsId":"IP-151194","costCenters":[{"id":651,"text":"Western Ecological Research 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,{"id":70274208,"text":"70274208 - 2025 - Co-mast: Harmonized seed production data for woody plants across US long-term research sites","interactions":[],"lastModifiedDate":"2026-03-13T14:19:50.792136","indexId":"70274208","displayToPublicDate":"2024-12-12T09:07:25","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":"Co-mast: Harmonized seed production data for woody plants across US long-term research sites","docAbstract":"<p><span>Plants display a range of temporal patterns of inter-annual reproduction, from relatively constant seed production to “mast seeding,” the synchronized and highly variable interannual seed production of plants within a population. Previous efforts have compiled global records of seed production in long-lived plants to gain insight into seed production, forest and animal population dynamics, and the effects of global change on masting. Existing datasets focus on seed production dynamics at the population scale but are limited in their ability to examine community-level mast seeding dynamics across different plant species at the continental scale. We harmonized decades of plant reproduction data for 141 woody plant species across nine Long-Term Ecological Research (LTER) or long-term ecological monitoring sites from a wide range of habitats across the United States. Plant reproduction data are reported annually between 1957 and 2021 and based on either seed traps or seed and/or cone counts on individual trees. A wide range of woody plant species including trees, shrubs, and lianas are represented within sites allowing for direct community-level comparisons among species. We share code for filtering of data that enables the comparison of plot and individual tree data across sites. For each species, we compiled relevant life history attributes (e.g., seed mass, dispersal syndrome, seed longevity, sexual system) that may serve as important predictors of mast seeding in future analyses. To aid in phylogenetically informed analyses, we also share a phylogeny and phylogenetic distance matrix for all species in the dataset. These data can be used to investigate continent-scale ecological properties of seed production, including individual and population variability, synchrony within and across species, and how these properties of seed production vary in relation to plant species traits and environmental conditions. In addition, these data can be used to assess how annual variability in seed production is associated with climate conditions and how that varies across populations, species, and regions. The dataset is released under a CC0 1.0 Universal public domain license.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4463","usgsCitation":"Nigro, K.M., Barton, J.H., Macias, D., Chaudhary, V.B., Pearse, I., Bell, D.M., Chen, A., Cleavitt, N.L., Crone, E., Greene, D.F., Holland, E.P., Johnstone, J.F., Koenig, W.D., Lyon, N.J., Miller, T.E., Schulze, M., Snell, R.S., Zimmerman, J.K., Knops, J.M., McNulty, S., Parmenter, R.R., Winterstein, M., Zlotin, R.I., LaMontagne, J., and Redmond, M., 2025, Co-mast: Harmonized seed production data for woody plants across US long-term research sites: Ecology, v. 106, e4463, 3 p., https://doi.org/10.1002/ecy.4463.","productDescription":"e4463, 3 p.","ipdsId":"IP-162499","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4463","text":"Publisher Index Page"},{"id":501128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","noUsgsAuthors":false,"publicationDate":"2024-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Nigro, Katherine M.","contributorId":189487,"corporation":false,"usgs":false,"family":"Nigro","given":"Katherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":956998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barton, Jessica H.","contributorId":302438,"corporation":false,"usgs":false,"family":"Barton","given":"Jessica","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":956999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macias, Diana","contributorId":256880,"corporation":false,"usgs":false,"family":"Macias","given":"Diana","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":957000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaudhary, V. Bala","contributorId":101483,"corporation":false,"usgs":true,"family":"Chaudhary","given":"V.","email":"","middleInitial":"Bala","affiliations":[],"preferred":false,"id":957001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957002,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bell, David M.","contributorId":34423,"corporation":false,"usgs":true,"family":"Bell","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":957003,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Angel","contributorId":345830,"corporation":false,"usgs":false,"family":"Chen","given":"Angel","affiliations":[{"id":65228,"text":"National Center for Ecological Analysis and Synthesis","active":true,"usgs":false}],"preferred":false,"id":957004,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cleavitt, Natalie L.","contributorId":256853,"corporation":false,"usgs":false,"family":"Cleavitt","given":"Natalie","email":"","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":957005,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crone, Elizabeth E.","contributorId":352543,"corporation":false,"usgs":false,"family":"Crone","given":"Elizabeth E.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":957006,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Greene, David F.","contributorId":302454,"corporation":false,"usgs":false,"family":"Greene","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":957007,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Holland, E. 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,{"id":70261941,"text":"70261941 - 2025 - Late Amazonian ice near Athabasca Valles, Mars: Recent megaflood or climate change?","interactions":[],"lastModifiedDate":"2025-01-06T15:05:14.621649","indexId":"70261941","displayToPublicDate":"2024-12-12T09:02:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Late Amazonian ice near Athabasca Valles, Mars: Recent megaflood or climate change?","docAbstract":"<p><span>The Athabasca Valles outflow channel system is among the youngest such channels on Mars, with the Athabasca Valles flood lava (AVFL) covering the channel floor and reaching far beyond. Volcanic rootless cones on the AVFL indicate the presence of H</span><sub>2</sub><span>O in the shallow subsurface at the time of lava emplacement. However, Athabasca Valles are near the equator, where ice would rapidly sublime in the current climate. Therefore, the source of water for the rootless cones is uncertain: the leading hypotheses are that it was deposited (i) from the atmosphere in a different climate, or (ii) by a large aqueous flood shortly before the lava was erupted. Here we test the aqueous flood hypothesis, using numerical models of floods traversing Athabasca Valles to determine whether they can provide water to the locations of observed rootless cones. A secondary test is to determine whether flood waters are available to carve Lethe Vallis, a distal channel likely carved by the same event that formed Athabasca Valles. We find that floods with volumes and fluxes based on previously published estimates are unable to reach the distal rootless cones or Lethe Vallis. This suggests either that the climate allowed equatorial ice to be present in the subsurface at the time of the AVFL, or that geologically recent aqueous floods in Athabasca Valles were much larger than indicated by published models.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2024.116406","usgsCitation":"Dundas, C., Keszthelyi, L., and Williams, K.E., 2025, Late Amazonian ice near Athabasca Valles, Mars: Recent megaflood or climate change?: Icarus, v. 429, no. 3, 116406, 17 p., https://doi.org/10.1016/j.icarus.2024.116406.","productDescription":"116406, 17 p.","ipdsId":"IP-167274","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":498063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2024.116406","text":"Publisher Index Page"},{"id":465667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Athabasca Valles, Mars","volume":"429","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922360,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265938,"text":"70265938 - 2025 - Great Lakes mallard population dynamics","interactions":[],"lastModifiedDate":"2025-04-22T17:12:00.317697","indexId":"70265938","displayToPublicDate":"2024-12-11T12:04:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Great Lakes mallard population dynamics","docAbstract":"<p><span>Breeding mallard (</span><i>Anas platyrhynchos</i><span>) populations in the Great Lakes region (Michigan, Minnesota, Wisconsin, USA) declined by &gt;40% between 2000–2022 based on abundance data collected during spring aerial surveys. Mallards are an important waterfowl species in this region, where an estimated 60–80% of the mallard harvest is composed of locally banded birds. Extensive population monitoring datasets are available for mallards, presenting an opportunity to address complex questions such as estimating productivity at large spatial and temporal scales, identifying the effects of harvest on mallard demography, quantifying mechanisms for harvest compensation, and integrating multiple datasets to quantify the demographic drivers of population change. Our objective was to simultaneously examine factors affecting demographic parameters and their relative contribution to Great Lakes mallard population dynamics. We used 32 years of banding, band recovery, and aerial survey data collected for mallards from Michigan and Wisconsin to develop an integrated population model (IPM). We used age ratios at banding to estimate productivity, band recoveries from hunter-harvested birds to estimate annual survival and cause-specific mortality (i.e., harvest or non-hunting), and modeled abundance using aerial survey and demographic parameter estimates from 1991–2022. The IPM results indicated the decline in Great Lakes mallard abundance was caused by increased non-hunting mortality and a decline in productivity. Productivity varied spatially but temporally declined with the loss of Conservation Reserve Program area. Moreover, our productivity assessment provided evidence of density dependence in reproduction. Non-hunting mortality was 3.5–6.7 times and 1.3–4.2 times greater than harvest mortality for adult and juvenile female mallards, respectively, indicating environmental factors during spring and summer, not harvest, most greatly influenced annual mortality for female mallards. Our IPM reduced uncertainty in the factors affecting Great Lakes mallard population dynamics and indicated management actions that address non-hunting mortality and productivity would be most effective in increasing Great Lakes mallard abundance.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22702","usgsCitation":"Luukkonen, B., Winterstein, S., Hayes, D., Fowler, D., Soulliere, G., Coluccy, J., Shipley, A., Simpson, J., Shirkey, B., Winiarski, J., O’Neal, B., Avers, B., Urquhart, G., and Lavretsky, P., 2025, Great Lakes mallard population dynamics: Journal of Wildlife Management, v. 89, no. 2, e22702, 21 p., https://doi.org/10.1002/jwmg.22702.","productDescription":"e22702, 21 p.","ipdsId":"IP-169638","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22702","text":"Publisher Index 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,{"id":70264860,"text":"70264860 - 2025 - Sampling for disease surveillance: Assessing effects on blue-winged teal survival and recovery","interactions":[],"lastModifiedDate":"2025-03-26T14:52:46.805137","indexId":"70264860","displayToPublicDate":"2024-12-11T09:47:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Sampling for disease surveillance: Assessing effects on blue-winged teal survival and recovery","docAbstract":"<p><span>Outbreaks of highly pathogenic avian influenza virus in wild animals highlight the need for disease surveillance in wild birds to improve our understanding of their role as reservoirs and dispersers, and potential threats to domestic poultry and wild bird populations. Surveillance for avian influenza varies in its approach, objectives, and coordination with other monitoring efforts. For waterfowl, a common host to avian influenza viruses, banding represents a concerted effort of capturing and marking thousands of individuals annually to estimate survival and harvest rates, but users of these data have generally taken a conservative approach to remove any banded birds from analyses that had a sample taken for disease surveillance during capture. We tested for differences in survival and encounter probabilities of blue-winged teal (</span><i>Spatula discors</i><span>) marked (</span><i>n</i><span> = 21,702 teal) and sampled for disease surveillance (</span><i>n</i><span> = 4,216) during the nonbreeding season in Louisiana, USA, from 2016 to 2023. Although we found no consistent effect of collecting biological samples on survival probability, including an additional test showing no detectable effects of sampling for disease surveillance with oropharyngeal and cloacal swabs versus sampling with swabs and a syringe-drawn blood sample, wide 95% credible intervals on the posterior survival estimates (mean 0.36 difference between upper and lower values across all year-sex-sampling groups; 0.44 for sampling type groups) indicated low statistical power to detect an effect. Seber recovery probability during the first interval following sampling was lower among birds sampled using swabs only, but we assume this stems from low sample sizes rather than an effect of collecting biological samples. Because recovery probabilities can vary as a function of individual covariates, we also examined direct recovery probabilities and observed no meaningful effect of disease surveillance sampling type but strong effects of capture date, suggesting the effect on Seber recovery probability may have been due to heterogeneity in exposure to natural and harvest mortality risks. Although we suggest that aligning disease surveillance sample collection efforts with landscape-scale waterfowl banding efforts may have little effect on observed demographic rates, additional studies with larger sample sizes are likely needed to provide the statistical power necessary to formally conclude no effect of biological sampling on survival probabilities.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22708","usgsCitation":"Swift, R.J., Arnold, T., Carter, D.L., Link, P.K., Poulson, R., Stallknecht, D., and Pearse, A.T., 2025, Sampling for disease surveillance: Assessing effects on blue-winged teal survival and recovery: Journal of Wildlife Management, v. 89, no. 3, e22708, 14 p., https://doi.org/10.1002/jwmg.22708.","productDescription":"e22708, 14 p.","ipdsId":"IP-166455","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":498247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22708","text":"Publisher Index Page"},{"id":483873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Grand Chenier, Krotz Springs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.98756060983055,\n              30.65597997684506\n            ],\n            [\n              -91.98756060983055,\n              30.58594442939689\n            ],\n            [\n              -91.90986695702321,\n              30.58594442939689\n            ],\n            [\n              -91.90986695702321,\n              30.65597997684506\n            ],\n            [\n              -91.98756060983055,\n              30.65597997684506\n      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0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":932074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, Todd W.","contributorId":340512,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":932075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Deborah L.","contributorId":335924,"corporation":false,"usgs":false,"family":"Carter","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":932076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, Paul K.","contributorId":271204,"corporation":false,"usgs":false,"family":"Link","given":"Paul","email":"","middleInitial":"K.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":932077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":932078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":932079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":932080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263135,"text":"70263135 - 2025 - Changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020","interactions":[],"lastModifiedDate":"2025-01-30T15:18:05.449684","indexId":"70263135","displayToPublicDate":"2024-12-10T09:09:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20062,"text":"Journal of Hydrology—Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020","docAbstract":"<h3>Study region</h3><div id=\"abs0010\"><div id=\"sp0090\" class=\"u-margin-s-bottom\">North-central United States</div></div><div id=\"abs0015\"><h3 id=\"sect0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Study focus</h3><div id=\"sp0095\" class=\"u-margin-s-bottom\">This study uses circular statistics to characterize the seasonal properties of annual maximum (AMS) and peaks-over-threshold (POT) streamflow time series for 841 and 623 selected U.S. Geological Survey (USGS) streamgages, respectively, without regulation or substantial diversion among common 75-, 50-, and 30-year trend periods through water year 2020 (the period from October 1, 2019, through September 30, 2020). A subset of AMS time series with detected change points (abrupt changes) in the median and (or) scale are analyzed on either side of the change point to evaluate changes in their circular statistics.</div></div><div id=\"abs0020\"><h3 id=\"sect0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">New hydrologic insights for the region</h3><div id=\"sp0100\" class=\"u-margin-s-bottom\">In the 50-year trend period, five regions share common mean flood timing in the AMS and POT partial duration series. Changes from asymmetric distributions to reflective symmetric distributions are detected particularly among the 50- and 30-year trend periods in the northernmost States of Minnesota, North Dakota, and Wisconsin. For the subset of streamgages with abrupt change points in the AMS, regional patterns of changes in seasonality are detected between the period of records before and after the change point. These findings can inform decisions related to the AMS used for flood frequency and potential mixed population analyses and flood control operations that may be affected by changes in when seasonal events occur, how long seasonal events last, and the long-term variability in the intensity and frequency of seasonal events.</div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2024.102084","usgsCitation":"Barth, N.A., Wavra, H.N., Koebele, A., and Sando, S.K., 2025, Changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020: Journal of Hydrology—Regional Studies, v. 57, 102084, 28 p., https://doi.org/10.1016/j.ejrh.2024.102084.","productDescription":"102084, 28 p.","ipdsId":"IP-158771","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":489918,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2024.102084","text":"Publisher Index Page"},{"id":481499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-87.800477,42.49192],[-87.812461,42.232278],[-87.524844,41.691635],[-87.531646,39.347888],[-87.640435,39.166727],[-87.496537,38.778571],[-87.975511,38.232742],[-88.158207,37.664542],[-88.078046,37.532029],[-88.450127,37.411717],[-88.490068,37.067874],[-89.058036,37.188767],[-89.171881,37.068184],[-89.202607,36.601576],[-89.343753,36.630991],[-89.429311,36.481875],[-89.55264,36.577178],[-89.527029,36.341679],[-89.703511,36.243412],[-89.615128,36.113816],[-89.733095,36.000608],[-90.368718,35.995812],[-90.075934,36.281485],[-90.157136,36.484317],[-94.617919,36.499414],[-94.605734,39.122204],[-95.082714,39.516712],[-94.876344,39.806894],[-95.382957,40.027112],[-95.870481,40.71248],[-95.844088,41.180598],[-96.096186,41.547192],[-96.077543,41.777824],[-96.342395,42.160491],[-96.380107,42.451494],[-96.625958,42.513576],[-96.687669,42.653126],[-97.308853,42.867307],[-98.035034,42.764205],[-98.568936,42.998537],[-104.053127,43.000585],[-104.057698,44.997431],[-111.044275,45.001345],[-111.048974,44.474072],[-111.323669,44.724474],[-111.50494,44.635746],[-111.469185,44.552044],[-112.258665,44.569516],[-112.387389,44.448058],[-112.749011,44.491233],[-112.844859,44.358221],[-113.134824,44.752763],[-113.455071,44.865424],[-113.802955,45.592631],[-114.015633,45.696127],[-114.345019,45.459916],[-114.559038,45.565706],[-114.422963,45.855381],[-114.527096,46.146218],[-114.322912,46.642938],[-114.76689,46.696901],[-115.294785,47.220914],[-115.731348,47.433381],[-115.72377,47.696671],[-116.049153,47.999923],[-116.049193,49.000912],[-95.153711,48.998903],[-95.153314,49.384358],[-94.878454,49.333193],[-94.640803,48.741171],[-93.818375,48.534442],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.86827,47.5569],[-92.058888,46.809938],[-91.942988,46.679939],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.398478,46.575832],[-88.982483,46.99883],[-88.400224,47.379551],[-87.816958,47.471998],[-87.730804,47.449112],[-88.349952,47.076377],[-88.462349,46.786711],[-88.167373,46.9588],[-87.915943,46.909508],[-87.619747,46.79821],[-87.366767,46.507303],[-86.850111,46.434114],[-86.188024,46.654008],[-84.964652,46.772845],[-84.969464,46.47629],[-84.177428,46.52692],[-84.097766,46.256512],[-84.247687,46.17989],[-83.931175,46.017871],[-83.63498,46.103953],[-83.49484,45.999541],[-84.345451,45.946569],[-84.656567,46.052654],[-84.820557,45.868293],[-85.047028,46.020603],[-85.528403,46.087121],[-85.663966,45.967013],[-86.278007,45.942057],[-86.687208,45.634253],[-86.532989,45.882665],[-86.92106,45.697868],[-87.018902,45.838886],[-88.027103,44.578992],[-87.943801,44.529693],[-87.428144,44.890738],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192]]],[[[-88.684434,48.115785],[-88.447236,48.182916],[-89.022736,47.858532],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-83.880387,41.720089],[-86.824828,41.76024],[-86.24971,42.480212],[-86.226305,42.988284],[-86.540916,43.633158],[-86.25395,44.64808],[-86.066745,44.905685],[-85.780439,44.977932],[-85.540497,45.210169],[-85.641652,44.810816],[-85.520205,44.960347],[-85.477423,44.813781],[-85.355478,45.282774],[-84.91585,45.393115],[-85.110884,45.526285],[-84.94565,45.708621],[-85.011433,45.757962],[-84.204218,45.627116],[-84.095905,45.497298],[-83.488826,45.355872],[-83.316118,45.141958],[-83.435822,45.000012],[-83.277213,44.7167],[-83.335248,44.357995],[-83.890145,43.934672],[-83.909479,43.672622],[-83.618602,43.628891],[-83.227093,43.981003],[-82.915976,44.070503],[-82.617955,43.768596],[-82.423086,42.988728],[-82.509935,42.637294],[-82.648776,42.550401],[-82.630922,42.64211],[-82.780817,42.652232],[-83.431103,41.757457],[-83.880387,41.720089]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Iowa\",\"nation\":\"USA  \"}}]}","volume":"57","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barth, Nancy A. 0000-0002-7060-8244 nabarth@usgs.gov","orcid":"https://orcid.org/0000-0002-7060-8244","contributorId":298020,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":925656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wavra, Harper N. 0000-0001-5688-902X","orcid":"https://orcid.org/0000-0001-5688-902X","contributorId":292171,"corporation":false,"usgs":true,"family":"Wavra","given":"Harper","email":"","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koebele, Anthony R 0009-0005-4406-1782","orcid":"https://orcid.org/0009-0005-4406-1782","contributorId":350316,"corporation":false,"usgs":true,"family":"Koebele","given":"Anthony R","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sando, Steven K. 0000-0003-1206-1030","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":203451,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"","middleInitial":"K.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":925659,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263499,"text":"70263499 - 2025 - Characterizing directivity in small (M 2.4-5) aftershocks of the Ridgecrest sequence","interactions":[],"lastModifiedDate":"2025-05-28T14:47:51.520376","indexId":"70263499","displayToPublicDate":"2024-12-10T08:34:24","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":"Characterizing directivity in small (M 2.4-5) aftershocks of the Ridgecrest sequence","docAbstract":"<p><span>Directivity, or the focusing of energy along the direction of an earthquake rupture, is a common property of earthquakes of all sizes and can cause increased hazard due to azimuthally dependent ground‐motion amplification. For small earthquakes, the effects of directivity are generally less pronounced due to reduced rupture size, yet the directivity in small events can bias source property estimates and provide important insights into general regional faulting patterns. However, due to observational limitations, directivity is usually only measured and modeled for large events. As such, many studies of small earthquakes either ignore directivity altogether or assume a constant rupture direction for all events in a cluster. In our study, we apply a refined directivity fitting method constrained with two separate methods of source deconvolution to the dataset of aftershocks of the 2019 Ridgecrest earthquakes, which contain a large number of well‐recorded small‐to‐mid sized earthquakes occurring in close proximity to each other. The revealed directivity of 100+ small (M 2.4–5) earthquakes is highly heterogeneous and primarily oblique to and away from the main fault strike, suggesting a complex postseismic stress redistribution. In addition, the energy focusing effect of directivity appears to bias the selection of high‐quality data from stations in the direction of rupture, leading to average stress‐drop increases of 50% if directivity is not accounted for.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240146","usgsCitation":"Chu, S., Baltay Sundstrom, A.S., and Abercrombie, R., 2025, Characterizing directivity in small (M 2.4-5) aftershocks of the Ridgecrest sequence: Bulletin of the Seismological Society of America, v. 115, no. 3, p. 1177-1188, https://doi.org/10.1785/0120240146.","productDescription":"12 p.","startPage":"1177","endPage":"1188","ipdsId":"IP-167693","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481972,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Ridgecrest sequence","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.9,\n              36\n            ],\n            [\n              -117.9,\n              35.5\n            ],\n            [\n              -117.3,\n              35.5\n            ],\n            [\n              -117.3,\n              36\n            ],\n            [\n              -117.9,\n              36\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Chu, Shanna","contributorId":350708,"corporation":false,"usgs":false,"family":"Chu","given":"Shanna","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":927166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":927167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":927168,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263855,"text":"70263855 - 2025 - Drought before fire increases tree mortality after fire","interactions":[],"lastModifiedDate":"2025-02-26T20:49:58.489965","indexId":"70263855","displayToPublicDate":"2024-12-09T13:44:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Drought before fire increases tree mortality after fire","docAbstract":"<p><span>Fire and drought are expected to increase in frequency and severity in temperate forests due to climate change. To evaluate whether drought increases the likelihood of post-fire tree mortality, we used a large database of tree survival and mortality from 32 years of wildland fires covering four dominant western North American conifers. We used Bayesian hierarchical modeling to predict the probability of individual tree mortality after fire based on species—</span><i>Pinus contorta</i><span>&nbsp;(lodgepole pine),&nbsp;</span><i>Abies concolor</i><span>&nbsp;(white fir),&nbsp;</span><i>Pseudotsuga menziesii</i><span>&nbsp;(Douglas-fir), and&nbsp;</span><i>Pinus ponderosa</i><span>&nbsp;(ponderosa pine)—bark thickness, bark char, percentage live tree crown scorched or consumed crown volume scorch (CVS), and mean annual climatic water deficit (CWD) anomalies the year pre-fire and fire year relative to the 1985–2015 reference period. Although&nbsp;</span><i>crown injury</i><span>&nbsp;was the primary determinant of tree mortality after fire,&nbsp;</span><i>drought</i><span>&nbsp;increased likelihood of death, with a 2-SD increase in CWD (+115.7) resulting in a 78% increase in the probability of mortality. We assessed the crown scorch level expected to result in &gt;50% probability of mortality under different CWD scenarios: observed CWD, CWD of +2, and +4°C warming scenarios. Increased climatic moisture stress amplified tree death, reducing the threshold that causes tree mortality across all conifers under +4°C warming, with more subtle and species-specific reductions for the +2°C scenario. Models predicting post-fire tree mortality are components of global and regional carbon estimates, habitat suitability assessments, and forest management planning and decision support systems. The amplifying effects of drought on post-fire tree mortality and predicted future climates are likely to lead to higher tree mortality following fires in forested landscapes of western North America and may have cascading effects on ecosystem services and future forest resilience.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70083","usgsCitation":"Cansler, C.A., Wright, M., van Mantgem, P., Shearman, T.M., Varner, J., and Hood, S.M., 2025, Drought before fire increases tree mortality after fire: Ecosphere, v. 15, no. 12, e70083, 18 p., https://doi.org/10.1002/ecs2.70083.","productDescription":"e70083, 18 p.","ipdsId":"IP-141643","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":486900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70083","text":"Publisher Index Page"},{"id":482503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.54358044928802,\n              48.48322783092678\n            ],\n            [\n              -125.54358044928802,\n              31.839699908457078\n            ],\n            [\n              -100.5819546029139,\n              31.839699908457078\n            ],\n            [\n              -100.5819546029139,\n              48.48322783092678\n            ],\n            [\n              -125.54358044928802,\n              48.48322783092678\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Cansler, C. Alina 0000-0002-2155-4438","orcid":"https://orcid.org/0000-0002-2155-4438","contributorId":225029,"corporation":false,"usgs":false,"family":"Cansler","given":"C.","email":"","middleInitial":"Alina","affiliations":[{"id":41022,"text":"Missoula Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":928704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shearman, Timothy M.","contributorId":229060,"corporation":false,"usgs":false,"family":"Shearman","given":"Timothy","email":"","middleInitial":"M.","affiliations":[{"id":41540,"text":"Tall Timbers Research Station, 13093 Henry Beadel Drive, Tallahassee, FL, 32312, USA","active":true,"usgs":false}],"preferred":false,"id":928707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Varner, J. Morgan","contributorId":265933,"corporation":false,"usgs":false,"family":"Varner","given":"J. Morgan","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":928708,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hood, Sharon M.","contributorId":221183,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":928709,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261697,"text":"70261697 - 2025 - Global patterns of coseismic landslide runout mobility differ from aseismic landslide trends","interactions":[],"lastModifiedDate":"2024-12-18T17:47:39.005361","indexId":"70261697","displayToPublicDate":"2024-12-09T11:43:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Global patterns of coseismic landslide runout mobility differ from aseismic landslide trends","docAbstract":"<p><span>Coseismic landslides significantly contribute to human and economic losses during and immediately following earthquakes, yet very little data on the runout of such landslides exist. While well-established behavior of aseismic (e.g., hydrologically triggered) landslide runout mobility suggests strong correlation between landslide size and mobility, limited studies of coseismic landslide runout find conflicting mobility trends. We present a global dataset of runout lengths produced from a new automated method for estimating landslide runout, developed and validated using 1726 manually mapped landslides from five unique earthquakes. We then apply the automated runout tool to 23 global earthquake-induced landslide inventories, producing a compiled database of 73,665 measured and estimated runout lengths of coseismic landslides to assess mobility trends. We find a significant divergence between well-established aseismic mobility trends and that of coseismic landslides, with far greater scatter and more complex mobility patterns in earthquake-triggered landslides. As a function of landslide size, we observe global coseismic landslide mobility patterns are bilinear, becoming increasingly less mobile with increasing size above some threshold. This discordance between aseismic and coseismic landslide mobility may be a function of landslide type, kinematics, hydrology, and or setting that systematically differ between triggering mechanisms and should be explored in more depth to develop predictive models of these unique runout patterns. These results suggest hazard and risk models for coseismic landslides may significantly under-predict or over-predict impacts, depending on the size of triggered landslides.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2024.107824","usgsCitation":"Grant, A.R., and Culhane, N.K., 2025, Global patterns of coseismic landslide runout mobility differ from aseismic landslide trends: Engineering Geology, v. 344, 107824, 14 p., https://doi.org/10.1016/j.enggeo.2024.107824.","productDescription":"107824, 14 p.","ipdsId":"IP-158255","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":466679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2024.107824","text":"Publisher Index Page"},{"id":465290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"344","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":921470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culhane, Natalie K.","contributorId":347352,"corporation":false,"usgs":false,"family":"Culhane","given":"Natalie","email":"","middleInitial":"K.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":921471,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70267749,"text":"70267749 - 2025 - Invisible hand of sampling for management: Underlying needs to survey a threatened seabird can bias aggregated data","interactions":[],"lastModifiedDate":"2025-05-30T16:10:09.562422","indexId":"70267749","displayToPublicDate":"2024-12-09T11:05:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Invisible hand of sampling for management: Underlying needs to survey a threatened seabird can bias aggregated data","docAbstract":"<h3 id=\"jbi15068-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Surveying for a species of concern ahead of proposed activities that alter its habitat is routine practice in conservation and management. Such surveys may accumulate large datasets that could further elucidate trends in abundance and distribution. However, the as-needed surveying of proposed activities may impart a sample site selection bias on the data if used for another purpose. Management of a threatened, forest-nesting seabird offered an example of this. Here we assessed how resource management planning and survey requirements can bias clearance monitoring survey data collected prior to proposed timber harvests, if those data are used for other purposes.</p><h3 id=\"jbi15068-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Oregon and Washington, USA.</p><h3 id=\"jbi15068-sec-0003-title\" class=\"article-section__sub-title section1\">Taxon</h3><p>Marbled Murrelet (<i>Brachyramphus marmoratus</i>).</p><h3 id=\"jbi15068-sec-0004-title\" class=\"article-section__sub-title section1\">Methods</h3><p>To assess how timber planning and other factors influenced marbled murrelet survey location selection, we used logistic regression models to examine habitat associations of marbled murrelet survey sites (<i>n</i> = 9178) encompassing proposed timber harvests, and the survey stations (<i>n</i> = 38,923) therein, across the murrelet's inland range in Washington and Oregon, USA between 1989 and 2021. We then simulated the effect this selective sampling might have on assessments of occupancy trends.</p><h3 id=\"jbi15068-sec-0005-title\" class=\"article-section__sub-title section1\">Results</h3><p>Most habitat characteristics considered did influence where surveys were located, with distance to roads often being the strongest predictor of survey location. The strength of selection for each covariate changed over time, such that a habitat characteristic strongly influenced location selection in a year but was less influential in another year. The simulation analysis suggested that the non-random selection of survey sites could profoundly bias assessments of occupancy trends.</p><h3 id=\"jbi15068-sec-0006-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>When using these clearance monitoring survey data– or any data–beyond their original purpose, careful consideration should be given to the scope of inference provided and analytical methods used, to ensure that observed trends are the product of biological processes and not biased by sampling artefacts.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jbi.15068","usgsCitation":"Baumbusch, R., Duarte, A., and Peterson, J., 2025, Invisible hand of sampling for management: Underlying needs to survey a threatened seabird can bias aggregated data: Journal of Biogeography, v. 52, no. 3, p. 699-711, https://doi.org/10.1111/jbi.15068.","productDescription":"13 p.","startPage":"699","endPage":"711","ipdsId":"IP-172111","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.21754122531829,\n              41.967396517105556\n            ],\n            [\n              -122.4561695892057,\n              42.01377286465285\n            ],\n            [\n              -120.03476401689971,\n              48.13266425747176\n            ],\n            [\n              -119.82343860956016,\n              49.0128353215286\n            ],\n            [\n              -123.25786407617503,\n              49.057217103762355\n            ],\n            [\n              -123.52567701204467,\n              48.49024105803022\n            ],\n            [\n              -124.94673542155473,\n              48.575650402887135\n            ],\n            [\n              -124.1349973200926,\n              46.025151144683235\n            ],\n            [\n              -124.64641882316457,\n              42.827652538889424\n            ],\n            [\n              -124.21754122531829,\n              41.967396517105556\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Baumbusch, Ryan","contributorId":289762,"corporation":false,"usgs":false,"family":"Baumbusch","given":"Ryan","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":938729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duarte, Adam","contributorId":337608,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":938730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938731,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261640,"text":"70261640 - 2025 - Smectite-rich horizons in Inceptisols trigger shallow landslides in tropical granitic terranes","interactions":[],"lastModifiedDate":"2024-12-17T15:27:14.331312","indexId":"70261640","displayToPublicDate":"2024-12-07T09:22:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5397,"text":"Geoderma Regional","active":true,"publicationSubtype":{"id":10}},"title":"Smectite-rich horizons in Inceptisols trigger shallow landslides in tropical granitic terranes","docAbstract":"<p><span>Puerto Rico was affected by &gt;70,000 landslides in the wake of 2017 Hurricane Maria, and landslide prevalence was especially high in the Utuado region in the Cordillera Central. Landslide density was highest where soil parent material is granodiorite; landslide slip surfaces tended to be shallow (&lt;60&nbsp;cm), and often were mobilized rapidly and with long runout distances. This study combines field observations with soil mineralogy (bulk and clay fractions), soil geochemistry (bulk fraction), and soil strength as determined by field cone penetrometer testing (CPT) to test the hypothesis that clay-rich subsoil horizons function as slip planes when water-logged. Soil pits were excavated to depths of ∼200&nbsp;cm in Ultisols on an undulating plateau and to ∼100&nbsp;cm in Inceptisols on steep slopes (36-43</span><sup>o</sup><span>) that flank the plateau and cone penetrometer tests (CPT) were done within 2&nbsp;m of the soil pit. Six pits were located adjacent to scarps from previous landslides, enabling analysis of soil profiles downward through extrapolated slip surfaces. Results from X-ray diffraction (XRD), X-ray fluorescence (XRF) and thermogravimetric analysis (TGA) indicate that soils are heterogeneous, often with subsoil horizons enriched in clay minerals and immobile elements (Al, Fe, Ti). Inceptisols on steep slopes often contain smectite-rich horizons at 30–60&nbsp;cm depth that appear to function as slip surfaces; in other Inceptisols, such horizons are not present and landslide susceptibility is potentially lower. In Ultisols, soil mineralogy is dominated by kaolinite with minor halloysite, and increased kaolinite content at soil depths ≥80&nbsp;cm at some sites suggests potential slip surfaces enhancing probability of landslides. The origin of clay-rich horizons appears to be (1) fractures in granodiorite that facilitate water flow and leaching, accelerating mineral dissolution during early weathering stages, and (2) smectite-rich buried soils under permeable colluvium likely deposited by a prior mass wasting event. Where clay-rich layers occur beneath more-permeable horizons, rapid infiltration then absorption of water in clay-rich subsoil horizons causes decreased shear strength and increased landslide susceptibility.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geodrs.2024.e00897","usgsCitation":"Ryan, P., Mahmud, D., Derenoncourt, K.L., Nerbonne, L.F., Perez-Martin, I.L., Reyes Collovati, J., Junaid, M., and Cerovski-Darriau, C., 2025, Smectite-rich horizons in Inceptisols trigger shallow landslides in tropical granitic terranes: Geoderma Regional, v. 40, e00897, 17 p., https://doi.org/10.1016/j.geodrs.2024.e00897.","productDescription":"e00897, 17 p.","ipdsId":"IP-164570","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":465193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.34134361905225,\n              18.567934517022124\n            ],\n            [\n              -67.34134361905225,\n              17.870406991368498\n            ],\n            [\n              -65.57303497201737,\n              17.870406991368498\n            ],\n            [\n              -65.57303497201737,\n              18.567934517022124\n            ],\n            [\n              -67.34134361905225,\n              18.567934517022124\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Peter C. 0000-0002-2251-5684","orcid":"https://orcid.org/0000-0002-2251-5684","contributorId":339466,"corporation":false,"usgs":false,"family":"Ryan","given":"Peter C.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahmud, D.","contributorId":347276,"corporation":false,"usgs":false,"family":"Mahmud","given":"D.","email":"","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Derenoncourt, K. L.","contributorId":347277,"corporation":false,"usgs":false,"family":"Derenoncourt","given":"K.","email":"","middleInitial":"L.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nerbonne, L. F.","contributorId":347278,"corporation":false,"usgs":false,"family":"Nerbonne","given":"L.","email":"","middleInitial":"F.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez-Martin, I. L.","contributorId":339465,"corporation":false,"usgs":false,"family":"Perez-Martin","given":"I.","email":"","middleInitial":"L.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reyes Collovati, J.","contributorId":339464,"corporation":false,"usgs":false,"family":"Reyes Collovati","given":"J.","email":"","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921250,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Junaid, M.","contributorId":347282,"corporation":false,"usgs":false,"family":"Junaid","given":"M.","email":"","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cerovski-Darriau, Corina 0000-0002-0543-0902","orcid":"https://orcid.org/0000-0002-0543-0902","contributorId":221159,"corporation":false,"usgs":true,"family":"Cerovski-Darriau","given":"Corina","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":921252,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263680,"text":"70263680 - 2025 - Applying mark-resight, count, and telemetry data to estimate effective sampling area and fish density with stationary underwater cameras","interactions":[],"lastModifiedDate":"2025-02-24T14:15:35.402463","indexId":"70263680","displayToPublicDate":"2024-12-06T16:10:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Applying mark-resight, count, and telemetry data to estimate effective sampling area and fish density with stationary underwater cameras","docAbstract":"<p><span>Accurate estimates of abundance and density for geographically open populations must account for the effective sampling area (ESA) of sampling gears. We describe a Marked N-Mixture model to estimate ESA and density (number of individuals/unit area) from repeated counts of unmarked and marked individuals, integrating mark-resight, camera counts, and telemetry data of red snapper (</span><i>Lutjanus campechanus</i><span>) at a 1.6&nbsp;km</span><sup>2</sup><span>&nbsp;reef off North Carolina, USA. Cameras recorded observations of unmarked and marked individuals, whereas telemetry data indicated the number of tagged fish present on the reef. We estimated density (95 individuals/km</span><sup>2</sup><span>, 95%CI: 58–149), ESA (which was lower when current direction was towards the camera), detection probability (0.06, 95%CI: 0.03–0.09), and covariate relationships. Simulation studies under different scenarios of data quality and space use identified positive bias in density estimates from N-mixture models due to fish movement. In contrast, the Marked N-Mixture model returned unbiased estimates of density, ESA, and detection parameters, and appears to be a more robust method for modeling density given the data available for this analysis. This approach can be applied to other populations where count and telemetry data overlap in space and time.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0373","usgsCitation":"Zulian, V., Pacifici, K., Bacheler, N., Buckel, J., Patterson III, W., Reich, B., Shertzer, K., and Hostetter, N.J., 2025, Applying mark-resight, count, and telemetry data to estimate effective sampling area and fish density with stationary underwater cameras: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-11, https://doi.org/10.1139/cjfas-2023-0373.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-160698","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487656,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2023-0373","text":"Publisher Index Page"},{"id":482306,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Chicken Rock, Cape Lookout","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.27088356315956,\n              35.090471776670924\n            ],\n            [\n              -76.27088356315956,\n              34.38471805247836\n            ],\n            [\n              -75.17756810224363,\n              34.38471805247836\n            ],\n            [\n              -75.17756810224363,\n              35.090471776670924\n            ],\n            [\n              -76.27088356315956,\n              35.090471776670924\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2024-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Zulian, Viviane","contributorId":351039,"corporation":false,"usgs":false,"family":"Zulian","given":"Viviane","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":927804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pacifici, Krishna","contributorId":351041,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":927805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bacheler, Nathan M.","contributorId":351043,"corporation":false,"usgs":false,"family":"Bacheler","given":"Nathan M.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":927806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckel, Jeffrey A.","contributorId":351045,"corporation":false,"usgs":false,"family":"Buckel","given":"Jeffrey A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":927807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patterson III, William F.","contributorId":351047,"corporation":false,"usgs":false,"family":"Patterson III","given":"William F.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":927808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reich, Brian J.","contributorId":351049,"corporation":false,"usgs":false,"family":"Reich","given":"Brian J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":927809,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shertzer, Kyle W.","contributorId":351051,"corporation":false,"usgs":false,"family":"Shertzer","given":"Kyle W.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":927810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":927811,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70261631,"text":"70261631 - 2025 - Distinguishing natural sources from anthropogenic events in seismic data","interactions":[{"subject":{"id":70258409,"text":"70258409 - 2024 - Distinguishing natural sources from anthropogenic noise in seismic data","indexId":"70258409","publicationYear":"2024","noYear":false,"title":"Distinguishing natural sources from anthropogenic noise in seismic data"},"predicate":"SUPERSEDED_BY","object":{"id":70261631,"text":"70261631 - 2025 - Distinguishing natural sources from anthropogenic events in seismic data","indexId":"70261631","publicationYear":"2025","noYear":false,"title":"Distinguishing natural sources from anthropogenic events in seismic data"},"id":1}],"lastModifiedDate":"2025-01-13T16:23:28.276552","indexId":"70261631","displayToPublicDate":"2024-12-06T15:01:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Distinguishing natural sources from anthropogenic events in seismic data","docAbstract":"<p>As seismic data are increasingly used to investigate a diverse range of subsurface phenomena beyond regular fast-rupturing earthquakes (Peng and Gomberg, 2010; Beroza and Ide, 2011), it is important to acknowledge that human-generated ground vibrations may be mistaken for naturally generated subsurface processes (Larose et al., 2015; Li et al., 2018). Correct discrimination of natural processes from anthropogenic noise is especially pressing given the trend in seismic detection research toward automated algorithms and machine learning methods (Yoon et al., 2015; Kong et al., 2019;Mousavi and Beroza, 2022) and the growth in seismic data collection in new environments such as urban and industry settings (e.g., Díaz et al.,2017).</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240330","usgsCitation":"Maher, S., Glasgow, M.E., Cochran, E.S., and Peng, Z., 2025, Distinguishing natural sources from anthropogenic events in seismic data: Seismological Research Letters, v. 96, no. 1, p. 1-6, https://doi.org/10.1785/0220240330.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-169603","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":465224,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Maher, Sean","contributorId":265979,"corporation":false,"usgs":false,"family":"Maher","given":"Sean","affiliations":[{"id":54850,"text":"Department of Earth Science and Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":921239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glasgow, Margaret Elizabeth 0000-0001-5637-5918","orcid":"https://orcid.org/0000-0001-5637-5918","contributorId":340268,"corporation":false,"usgs":true,"family":"Glasgow","given":"Margaret","email":"","middleInitial":"Elizabeth","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":921240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":921241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peng, Zhigang","contributorId":199689,"corporation":false,"usgs":false,"family":"Peng","given":"Zhigang","email":"","affiliations":[],"preferred":false,"id":921242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262436,"text":"70262436 - 2025 - Roles of host and environment in shift of primary anthrax host species in Kruger National Park","interactions":[],"lastModifiedDate":"2025-01-22T17:26:50.190108","indexId":"70262436","displayToPublicDate":"2024-12-06T11:18:18","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}},"title":"Roles of host and environment in shift of primary anthrax host species in Kruger National Park","docAbstract":"<p><span>Environmental and climatic factors, as well as host demographics and behaviour, significantly influence the exposure of herbivorous mammalian hosts to pathogens such as&nbsp;</span><i>Bacillus anthracis</i><span>, the causative agent of anthrax. Until the early 1990s in Kruger National Park (KNP), kudu (</span><i>Tragelaphus strepsiceros</i><span>) was the host species most affected by anthrax, with outbreaks occurring predominantly in the dry season, particularly during drought cycles. However, the most affected host species has shifted to impala (</span><i>Aepyceros melampus</i><span>), with more frequent anthrax outbreaks during the wet season. This study investigates the roles of environmental variation and other host species in this shift. Temporal trends in environmental variables such as precipitation, soil moisture, temperature, and normalised difference vegetation index (NDVI) were analyzed in relation to anthrax occurrence (presence/ absence and counts). Additionally, correlations between host species’ densities and anthrax mortalities over time were examined. Anthrax cases in 1990 were concentrated in the central and northern regions of KNP(excluding Pafuri), primarily affected kudus; while subsequent mortalities affected mostly impala and were restricted to the far north, in Pafuri. Significant correlations were found between kudu anthrax mortality and a decrease in NDVI, average temperature, SPI-6 and SPI-12 (Standardised Precipitation Index in various time intervals. Conversely, anthrax occurrence in impalas was associated with a decline in SPI-3, and temperature rise, with increased mortality during the rainy season. Elephant density correlated negatively with kudu mortality, but a positive correlation with both impala mortality and impala density. The study concludes that environmental variables and species’ densities may alter the diversity and frequency of hosts exposed to&nbsp;</span><i>B</i><span>.&nbsp;</span><i>anthracis</i><span>. Climate extremes and alterations therein may exacerbate anthrax severity by modifying species susceptibility and their probability of exposure over time.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0314103","usgsCitation":"Ochai, S.O., Snyman, L., Dolfi, A., Ramoelo, A., Reilly, B., Botha, J., Dekker, E., van Schalkwyk, O., Kamath, P., Archer, E., Turner, W.C., and Heerden, H.V., 2025, Roles of host and environment in shift of primary anthrax host species in Kruger National Park: PLoS ONE, v. 19, no. 12, e0314103, 20 p., https://doi.org/10.1371/journal.pone.0314103.","productDescription":"e0314103, 20 p.","ipdsId":"IP-167470","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0314103","text":"Publisher Index Page"},{"id":480940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"South Africa","otherGeospatial":"Kruger National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              31.06582138167292,\n              -22.416075336478343\n            ],\n            [\n              30.859117075132964,\n              -22.738484839932983\n            ],\n            [\n              30.891662008503246,\n              -23.060894343387623\n            ],\n            [\n              31.34226541868827,\n              -24.890478750913203\n            ],\n            [\n              31.98207203141098,\n              -24.929702162871806\n            ],\n            [\n              32.08691048237788,\n              -24.790395342372864\n            ],\n            [\n              31.58260787913791,\n              -23.200094425169404\n            ],\n            [\n              31.287064700425418,\n              -22.399809244114635\n            ],\n            [\n              31.06582138167292,\n              -22.416075336478343\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ochai, Sunday O.","contributorId":342466,"corporation":false,"usgs":false,"family":"Ochai","given":"Sunday","email":"","middleInitial":"O.","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyman, Lourens","contributorId":349287,"corporation":false,"usgs":false,"family":"Snyman","given":"Lourens","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dolfi, Amelie C.","contributorId":342314,"corporation":false,"usgs":false,"family":"Dolfi","given":"Amelie C.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":924193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramoelo, Abel","contributorId":349288,"corporation":false,"usgs":false,"family":"Ramoelo","given":"Abel","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reilly, Brian K.","contributorId":349290,"corporation":false,"usgs":false,"family":"Reilly","given":"Brian K.","affiliations":[{"id":83464,"text":"University of Free State","active":true,"usgs":false}],"preferred":false,"id":924195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Botha, Judith M.","contributorId":349292,"corporation":false,"usgs":false,"family":"Botha","given":"Judith M.","affiliations":[{"id":48535,"text":"South African National Parks","active":true,"usgs":false}],"preferred":false,"id":924196,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dekker, Edgar H.","contributorId":343067,"corporation":false,"usgs":false,"family":"Dekker","given":"Edgar H.","affiliations":[{"id":81972,"text":"Government of South Africa","active":true,"usgs":false}],"preferred":false,"id":924197,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"van Schalkwyk, O. 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,{"id":70267746,"text":"70267746 - 2025 - Bayesian networks facilitate updating of species distribution and habitat suitability models","interactions":[],"lastModifiedDate":"2025-05-30T16:13:52.967062","indexId":"70267746","displayToPublicDate":"2024-12-06T11:10:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian networks facilitate updating of species distribution and habitat suitability models","docAbstract":"<p><span>Managers often rely on predictions of species distributions and habitat suitability to inform conservation and management decisions. Although numerous approaches are available to develop models to make these predictions, few approaches exist to update existing models as new data accumulate. There is a need for updatable models to ensure good modeling practices in an aim to keep pace with change in the environment and change in data availability to continue to use the best-available science to inform decisions. We demonstrated a workflow to deliver predictive models to user groups within Bayesian networks, allowing models to be used to make predictions across new sites and to be easily updated with new data. To demonstrate this workflow, we focus on species distribution and habitat suitability models given their importance to informing conservation strategies across the globe. In particular, we followed a standard process of collating species encounter data available in online databases and ancillary covariate data to develop a habitat suitability model. We then used this model to parameterize a Bayesian network and updated the model with new data to predict species presence in a new focal ecoregion. We found the network updated relatively quickly as new data were incorporated, and the overall error rate generally decreased with each model update. Our approach allows for the formal incorporation of new data into predictions to help ensure model predictions are based on all relevant data available, regardless of whether they were collected after initial model development. Although our focus is on species distribution and habitat suitability models to inform conservation efforts, the workflow we describe herein can easily be applied to any use case where model uncertainty reduction and increased model prediction accuracy are desired via model updating as new data become available. Thus, our paper describes a generalizable workflow to implement model updating, which is widely recognized as a good modeling practice but is also underutilized in applied ecology.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2024.110982","usgsCitation":"Duarte, A., Spaan, R., Peterson, J., Pearl, C., and Adams, M.J., 2025, Bayesian networks facilitate updating of species distribution and habitat suitability models: Ecological Modelling, v. 501, 110982, 11 p., https://doi.org/10.1016/j.ecolmodel.2024.110982.","productDescription":"110982, 11 p.","ipdsId":"IP-172422","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490996,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2024.110982","text":"Publisher Index Page"},{"id":489293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Forest Service","active":true,"usgs":false}],"preferred":false,"id":938725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":938727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":938728,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261496,"text":"70261496 - 2025 - Evolutionary perspectives on thiamine supplementation of managed Pacific salmonid populations","interactions":[],"lastModifiedDate":"2025-01-27T16:30:44.308442","indexId":"70261496","displayToPublicDate":"2024-12-06T10:18:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary perspectives on thiamine supplementation of managed Pacific salmonid populations","docAbstract":"<p><span>Thiamine deficiency complex (TDC) has been identified in an ever-expanding list of species and populations. In many documented occurrences of TDC in fishes, juvenile mortality can be high—up to 90% at the population level. Such sweeping demographic losses and concomitant decreases in genetic diversity due to TDC can be prevented by treating pre-spawn females or fertilized eggs with supplemental thiamine. However, some fisheries managers are hesitant to widely apply thiamine treatments due to the potential for unforeseen evolutionary consequences. With these concerns in mind, we first review the existing data regarding genetic adaptation to low-thiamine conditions and provide perspectives on evolution-informed treatment strategies with specific population examples. We also provide practical treatment information, consider the potential logistical constraints of thiamine supplementation, and explore the consequences of deciding against supplementation. Until new evidence bolsters or refutes the genetic adaptation hypothesis, we suggest that TDC mitigation strategies should be designed to support maximum population genetic diversity through thiamine supplementation.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0109","usgsCitation":"Harder, A.M., Reed, A.N., and Rowland, F.E., 2025, Evolutionary perspectives on thiamine supplementation of managed Pacific salmonid populations: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-10, https://doi.org/10.1139/cjfas-2024-0109.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-158510","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":465069,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","noUsgsAuthors":false,"publicationDate":"2024-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Harder, Avril M.","contributorId":208496,"corporation":false,"usgs":false,"family":"Harder","given":"Avril","email":"","middleInitial":"M.","affiliations":[{"id":37808,"text":"Department of Biological Sciences, Purdue University, 915 W. State St., West Lafayette, Indiana","active":true,"usgs":false}],"preferred":false,"id":920793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Aimee N.","contributorId":302394,"corporation":false,"usgs":false,"family":"Reed","given":"Aimee","email":"","middleInitial":"N.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":920794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, Freya Elizabeth 0000-0002-1041-5301","orcid":"https://orcid.org/0000-0002-1041-5301","contributorId":302395,"corporation":false,"usgs":true,"family":"Rowland","given":"Freya","email":"","middleInitial":"Elizabeth","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":920795,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262084,"text":"70262084 - 2025 - An audience segmentation study of native plant gardening behaviors in the United States","interactions":[],"lastModifiedDate":"2025-01-13T15:09:41.124117","indexId":"70262084","displayToPublicDate":"2024-12-06T09:05:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"An audience segmentation study of native plant gardening behaviors in the United States","docAbstract":"<p><span>Audience segmentation can be used to identify target audiences in environmental public engagement and communication, but few studies have used segmentation to study biodiversity conservation behavior. This study used segmentation to better understand perceptions and behaviors around different types of actions related to native plant gardening. With a United States representative survey (</span><i>n</i><span>&nbsp;=&nbsp;1,200), we measured beliefs and intentions to engage in personal-sphere (i.e., individual), social diffusion (i.e., encouraging others to act), and civic action behavior (e.g., voting). A latent class analysis (LCA) revealed four distinct groups within the population: Disengaged, Potential Adopters, Potential Amplifiers, and Potential Advocates. Each class comprised approximately one-quarter of the United States population. We found that certain groups are more receptive to personal-sphere behavior, while others may be more receptive to social diffusion behavior or civic action behavior. The groups varied by key distinguishing characteristics: perceptions around civic action, previous personal-sphere and social diffusion behavior, and intentions to engage in personal-sphere action. Findings revealed opportunities to create tailored public engagement strategies to engage different groups in urban biodiversity conservation behavior.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2024.105272","usgsCitation":"Champine, V., Tamlyn, K., Jones, M.S., Balgopal, M., Bruyere, B., Solomon, J., and Niemiec, R., 2025, An audience segmentation study of native plant gardening behaviors in the United States: Landscape and Urban Planning, v. 256, 105272, 9 p., https://doi.org/10.1016/j.landurbplan.2024.105272.","productDescription":"105272, 9 p.","ipdsId":"IP-167643","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":466680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2024.105272","text":"Publisher Index Page"},{"id":466110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"256","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Champine, Veronica M.","contributorId":348145,"corporation":false,"usgs":false,"family":"Champine","given":"Veronica M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tamlyn, Kaiya","contributorId":348146,"corporation":false,"usgs":false,"family":"Tamlyn","given":"Kaiya","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Megan Siobhan 0000-0002-4284-3650","orcid":"https://orcid.org/0000-0002-4284-3650","contributorId":294651,"corporation":false,"usgs":true,"family":"Jones","given":"Megan","email":"","middleInitial":"Siobhan","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":923035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balgopal, Meena M.","contributorId":348147,"corporation":false,"usgs":false,"family":"Balgopal","given":"Meena M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bruyere, Brett","contributorId":348149,"corporation":false,"usgs":false,"family":"Bruyere","given":"Brett","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923037,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solomon, Jennifer N.","contributorId":348152,"corporation":false,"usgs":false,"family":"Solomon","given":"Jennifer N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923038,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niemiec, Rebecca M.","contributorId":348154,"corporation":false,"usgs":false,"family":"Niemiec","given":"Rebecca M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923039,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261545,"text":"70261545 - 2025 - Reconstructing half a century of coregonine recruitment reveals species-specific dynamics and synchrony across the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2025-02-24T16:51:44.64255","indexId":"70261545","displayToPublicDate":"2024-12-05T08:46:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1936,"text":"ICES Journal of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing half a century of coregonine recruitment reveals species-specific dynamics and synchrony across the Laurentian Great Lakes","docAbstract":"<p><span>Understanding how multiple species and populations vary in their recruitment dynamics can elucidate the processes driving recruitment across space and time. Lake Whitefish (</span><i>Coregonus clupeaformis</i><span>) and Cisco (</span><i>C. artedi</i><span>) are socioecologically important fishes across their range; however, many Laurentian Great Lakes populations have experienced declining, poor, or sporadic recruitment in recent decades. We integrated catch and age data from 38 long-term surveys across each of the Great Lakes and Lake Simcoe, resulting in a combined time series spanning 1960–2019. We estimated Lake Whitefish and Cisco year-class strength (YCS) in each lake using longitudinal mixed-effects regressions of relative cohort abundance. We subsequently quantified interspecific, spatial, and temporal synchrony in YCS using correlation and dynamic factor analyses. Lake Whitefish YCS was positively spatially synchronous on average, and YCS in all six lakes was elevated during the 1980s–1990s. In contrast, Cisco YCS was sporadic, not spatially synchronous, and highly variable around long-term, lake-specific means. YCS was not synchronous between species in any lake. Collectively, our analyses demonstrate that these species exhibit differential recruitment dynamics that may be regulated by species-specific factors. Results from this study can be leveraged in future research on the causes and consequences of cross-species, cross-basin recruitment variability.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/icesjms/fsae160","usgsCitation":"Brown, T.A., Rudstam, L.G., Sethi, S.A., Ripple, P., Smith, J., Treska, T., Hessell, C., Olsen, E., He, J.X., Jonas, J., Rook, B.J., Blankenheim, J., Beech, S.J., Brown, E., Berglund, E.K., Cook, H., Dunlop, E.S., James, S., Pothoven, S.A., Amidon, Z., Sweka, J., Carl, D., Hansen, S., Bunnell, D.B., Weidel, B., and Honsey, A.E., 2025, Reconstructing half a century of coregonine recruitment reveals species-specific dynamics and synchrony across the Laurentian Great Lakes: ICES Journal of Marine Science, v. 82, no. 2, fsae160, 18 p., https://doi.org/10.1093/icesjms/fsae160.","productDescription":"fsae160, 18 p.","ipdsId":"IP-165453","costCenters":[{"id":324,"text":"Great Lakes Science 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,{"id":70261615,"text":"70261615 - 2025 - Sea level rise threatens Florida’s insular vertebrate biodiversity","interactions":[],"lastModifiedDate":"2025-02-24T16:52:59.393638","indexId":"70261615","displayToPublicDate":"2024-12-05T08:44:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Sea level rise threatens Florida’s insular vertebrate biodiversity","docAbstract":"<p><span>Islands are some of the most biodiverse places on earth, but they are also hotspots of biodiversity loss. The coastline of Florida, U.S.A., is surrounded by thousands of islands, many of which are home to species that occur nowhere else. A rapidly emerging threat to these low-lying islands is inundation as sea levels rise. The capacity of island-dwelling species to adapt to climate change and sea level rise may be limited because many species do not have the ability to shift their distribution off the island to track favorable conditions. We assessed the vulnerability of Florida’s islands to inundation from sea level rise and estimated the terrestrial biodiversity on Florida’s islands that could be lost. Our models predicted that by 2100, over 80% and up to 90% of Florida’s islands could be completely inundated from sea level rise, depending on the sea level rise projection (1.2&nbsp;m or 2.2&nbsp;m). Of the 85 mammalian, reptilian, and amphibian species on our subset list of Florida’s Species of Greatest Conservation Need, over half occur on Florida’s islands for at least part of their range, highlighting the importance of these islands for housing Florida’s rich biodiversity. Notably, at least 12 mammal species and 7 reptile species have their entire distribution on Florida’s islands, and this count is likely an underestimate. Projections of future sea level rise mean that these island-endemic species face the threat of extinction in the wild if their island habitat is submerged.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10531-024-02984-w","usgsCitation":"Koen, E.L., Barichivich, W.J., Braun De Torrez, E., and Walls, S., 2025, Sea level rise threatens Florida’s insular vertebrate biodiversity: Biodiversity and Conservation, v. 34, p. 513-530, https://doi.org/10.1007/s10531-024-02984-w.","productDescription":"18 p.","startPage":"513","endPage":"530","ipdsId":"IP-158013","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466726,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10531-024-02984-w","text":"Publisher Index Page"},{"id":465186,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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