{"pageNumber":"105","pageRowStart":"2600","pageSize":"25","recordCount":165309,"records":[{"id":70265976,"text":"70265976 - 2025 - Predicting the response of fish populations to changes in river connectivity using individual-based models","interactions":[],"lastModifiedDate":"2025-04-23T14:37:43.198037","indexId":"70265976","displayToPublicDate":"2024-11-12T09:33:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the response of fish populations to changes in river connectivity using individual-based models","docAbstract":"<p><span>Barrier removal restores physical stream processes and improves accessibility of critical habitats to migratory fishes. Although increasing connectivity benefits stream systems and migratory fishes, barrier removals may also lead to increased production of undesirable or invasive migratory species, as well as myriad other concerns (e.g., reduced recreational opportunities). Few studies have predicted how migratory fish populations will respond to enhanced fish passage, despite being a critical step in the decision-making process. We developed an individual-based model framework to forecast the response of migratory fishes to changes in connectivity and applied the framework to six species under multiple fish passage scenarios for the FishPass project on the Boardman River, MI, which outlets into Lake Michigan. Population response to barrier removal was species-specific and varied based on initial population size and distribution within the watershed, number of fish passed upstream, and species life history traits. Species restricted to below the barrier prior to removal benefitted most; non-native species were found to have greater production potential under full passage scenarios than native Great Lakes species. With increasing passage of non-native Pacific salmonids, steelhead&nbsp;</span><i>Oncorhynchus mykiss</i><span>&nbsp;surpassed brook trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;as the system’s dominant species. Our results will inform decision-makers on management alternatives for fish passage on the Boardman River and our model framework can be modified, updated, and applied to additional river systems as more barrier removal projects are conducted in the future.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102463","usgsCitation":"Flinn, S., Brenden, T., and Robinson, K.F., 2025, Predicting the response of fish populations to changes in river connectivity using individual-based models: Journal of Great Lakes Research, v. 51, 102463, 11 p., https://doi.org/10.1016/j.jglr.2024.102463.","productDescription":"102463, 11 p.","ipdsId":"IP-157868","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102463","text":"Publisher Index Page"},{"id":484916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Boardman River basin, Grand Traverse Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.70529794321693,\n              44.806278216910755\n            ],\n            [\n              -85.70529794321693,\n              44.56839886944769\n            ],\n            [\n              -85.07485608941084,\n              44.56839886944769\n            ],\n            [\n              -85.07485608941084,\n              44.806278216910755\n            ],\n            [\n              -85.70529794321693,\n              44.806278216910755\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","noUsgsAuthors":false,"publicationDate":"2024-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Flinn, Shane","contributorId":353643,"corporation":false,"usgs":false,"family":"Flinn","given":"Shane","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":934221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenden, Travis","contributorId":353644,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":934222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934223,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260950,"text":"70260950 - 2025 - Evidence for low effective stress within the crust of the subducted Gorda plate from the 2022 December Mw 6.4 Ferndale earthquake sequence","interactions":[],"lastModifiedDate":"2025-05-12T15:36:43.818635","indexId":"70260950","displayToPublicDate":"2024-11-12T09:32:15","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":"Evidence for low effective stress within the crust of the subducted Gorda plate from the 2022 December Mw 6.4 Ferndale earthquake sequence","docAbstract":"<p>Stress levels on and adjacent to megathrust faults at seismogenic depths remain a key but difficult to constrain parameter for assessing seismic hazard in subduction zones. Although strong ground motions have been observed to be generated from distinct, high-stress regions on the downdip end of the megathrust rupture areas in many great earthquakes, we lack direct constraints on the stress level in the lower seismogenic portion of the Cascadia megathrust. On 2022 December 20, a M<sub>w</sub> 6.4 strike-slip earthquake occurred near Ferndale, California in southern Cascadia and likely ruptured the Gorda slab crust in the lower seismogenic portion, providing an opportunity to assess the stress level in this region. Here, we relocate the Ferndale mainshock and the first two weeks of aftershocks using a high-resolution 3-D velocity model and estimate rupture dimensions, directivity, and stress drop for several M<sub>w </sub>4-5 aftershocks and recent earthquakes. The aftershocks define a strike-slip fault in the slab crust striking ENE, consistent with the mainshock focal mechanism. The orientation of this fault is about 45<span>°</span> off the ideally oriented fault plane given the stress state in the slab. The aftershock zone is extensive and broad in the forward direction of the mainshock rupture but still constrained within the volume of high <i>Vp/Vs</i> within the slab crust. Our stress drop estimates are generally lower for M<sub>w </sub>4-5 earthquakes located within the slab crust compared to those a few km deeper in the slab mantle. Combined, our results support a relatively low effective stress level in the vicinity of the megathrust in the lower portion of the seismogenic zone in southern Cascadia, likely due to elevated fluid pressures. Consequently, the ground motion in the onshore region above this low-stress seismogenic portion in southern Cascadia may not be as intense as that observed during great earthquakes in other subduction zones.</p>","language":"English","publisher":"GeoScience World","doi":"10.1785/0220240078","usgsCitation":"Guo, H., Atterholt, J.W., McGuire, J., and Thurber, C., 2025, Evidence for low effective stress within the crust of the subducted Gorda plate from the 2022 December Mw 6.4 Ferndale earthquake sequence: Seismological Research Letters, v. 96, no. 3, p. 1504-1520, https://doi.org/10.1785/0220240078.","productDescription":"17 p.","startPage":"1504","endPage":"1520","ipdsId":"IP-156755","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":464233,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ferndale","otherGeospatial":"Cascadia subduction zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.67342574307676,\n              40.78895839935356\n            ],\n            [\n              -124.67342574307676,\n              39.99324983126681\n            ],\n            [\n              -124.00854458806577,\n              39.99324983126681\n            ],\n            [\n              -124.00854458806577,\n              40.78895839935356\n            ],\n            [\n              -124.67342574307676,\n              40.78895839935356\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"96","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Guo, Hao","contributorId":261277,"corporation":false,"usgs":false,"family":"Guo","given":"Hao","email":"","affiliations":[{"id":52789,"text":"Univ. of Science and Technology of China","active":true,"usgs":false}],"preferred":false,"id":918678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atterholt, James W.","contributorId":346328,"corporation":false,"usgs":false,"family":"Atterholt","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":918679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":219786,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":918680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurber, Clifford","contributorId":44067,"corporation":false,"usgs":true,"family":"Thurber","given":"Clifford","affiliations":[],"preferred":false,"id":918681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266319,"text":"70266319 - 2025 - The underlying causes of differential migration: Assumptions, hypotheses, and predictions","interactions":[],"lastModifiedDate":"2025-05-05T15:14:19.779988","indexId":"70266319","displayToPublicDate":"2024-11-10T10:12:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The underlying causes of differential migration: Assumptions, hypotheses, and predictions","docAbstract":"<p><span>Mechanisms governing the migratory decisions of birds have long fascinated ecologists and sparked considerable debate. Identifying factors responsible for variation in migration distance, also known as differential migration, has been a popular approach to understanding the mechanisms underlying migratory behaviour more generally. However, research progress has been slowed by the continued testing of overlapping, non-mechanistic, and circular predictions among a small set of historically entrenched hypotheses. We highlight the body size hypothesis and suggest that the predictions commonly tested have impeded progress because body size relationships with migration distance are predictions made by several distinct hypotheses with contrasting mechanisms. The cost of migration itself has not been adequately accounted for in most hypotheses, and we propose two flight efficiency hypotheses with time- and energy-minimizing mechanisms that allow individuals to mitigate the risks inherent to longer migrations. We also advance two conceptual versions of the social dominance hypothesis based on two distinct underlying mechanisms related to distance minimization and food maximization that will help clarify the role of competition in driving migratory decisions. Overall, we describe and refine 12 mechanistic hypotheses proposed to explain differential migration (along with several other special-case hypotheses), seven of which have underlying mechanisms related to food limitation as past research has identified this to be an important driver of differential migration. We also thoroughly reviewed 145 publications to assess the amount of support for 10 critical assumptions underlying alternative hypotheses for differential migration in birds. Our review reveals that surprisingly few studies explicitly evaluate assumptions within a differential migration context. Generating and testing strong predictions and critical assumptions underlying mechanisms of alternative hypotheses will improve our ability to differentiate among these explanations of differential migration. Additionally, future intraspecific progress will be greatest if investigators continue to focus on mechanisms underlying variation in migration distance within rather than among demographic classes, as previous research has found differing mechanisms to be responsible for differential migration among demographic classes. Interspecifically, a thorough comparative analysis that seeks to explain variation in migration distance among species would broaden both our understanding of the mechanisms regulating current differential migration patterns and those that led to the evolution of migration more generally. Collectively, we provide a framework that, together with advances in animal-borne tracking and other technology, can be used to advance our understanding of the causes of differential migration distance, and migratory decisions more generally.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/brv.13160","usgsCitation":"Paprocki, N., and Conway, C.J., 2025, The underlying causes of differential migration: Assumptions, hypotheses, and predictions: Biological Reviews, v. 100, no. 2, p. 764-789, https://doi.org/10.1111/brv.13160.","productDescription":"26 p.","startPage":"764","endPage":"789","ipdsId":"IP-166149","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":496430,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/brv.13160","text":"Publisher Index Page"},{"id":485384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Paprocki, N","contributorId":354403,"corporation":false,"usgs":false,"family":"Paprocki","given":"N","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935580,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70261912,"text":"70261912 - 2025 - Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA","interactions":[],"lastModifiedDate":"2025-02-24T16:56:37.298498","indexId":"70261912","displayToPublicDate":"2024-11-09T09:17:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA","docAbstract":"<p><span>Untangling the complexities of harmful algal bloom (HAB) dynamics is an ongoing effort that requires a fundamental understanding of spatiotemporal phytoplankton patterns and the environmental filters through which assemblages are structured. To this aim, monthly field surveys were conducted from 2019 to 2021 at 21 sites in Lake Okeechobee, Florida – a large, shallow, eutrophic, and heavily managed lake with coastal connectivity that experiences intense and recurrent HABs. Phytoplankton assemblages were strongly spatially structured forming 7 distinct lake zones with significant dissimilarity in composition and total abundance. While successional patterns were not apparent across seasons or wet/dry periods, total phytoplankton abundance was significantly greater towards the end of the wet season. Distance-based linear models using 16 abiotic variables were used to identify significant explanatory variables of spatial and temporal patterns. The spatial model explained 93 % of the variability suggesting deterministic processes largely control spatial patterns. The temporal model explained only 48 % of the temporal variability suggesting stochasticity in lake-wide shifts in assemblages over time. However, the strong spatial structuring of assemblages may preclude lake-wide succession patterns. Total algal abundance metrics were inversely related to nitrate, orthophosphate, and total alkalinity, the strongest explanatory variables of assemblage patterns, suggesting a lag between peak resources and peak abundance as phytoplankton cycle “boom-to-bust” phases. Consistent with this inverse relationship, Threshold Indicator Taxa Analysis returned almost exclusively negative responder indicator taxa for all three explanatory variable gradients. The assemblage-level threshold defined the gradient boundary between boom- and bust-associated indicator taxa. These data contribute novel information about HABs ecology pertinent to management strategies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2024.102744","usgsCitation":"Mazzei, V., Sullivan, K., and Loftin, K.A., 2025, Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA: Harmful Algae, v. 142, 102744, 13 p., https://doi.org/10.1016/j.hal.2024.102744.","productDescription":"102744, 13 p.","ipdsId":"IP-146701","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":465632,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466773,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hal.2024.102744","text":"Publisher Index Page"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.66061775922876,\n              27.44853642210407\n            ],\n            [\n              -81.66061775922876,\n              26.38819227625035\n            ],\n            [\n              -80.19074720470665,\n              26.38819227625035\n            ],\n            [\n              -80.19074720470665,\n              27.44853642210407\n            ],\n            [\n              -81.66061775922876,\n              27.44853642210407\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"142","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mazzei, Viviana 0000-0001-8614-0693 vmazzei@usgs.gov","orcid":"https://orcid.org/0000-0001-8614-0693","contributorId":296094,"corporation":false,"usgs":true,"family":"Mazzei","given":"Viviana","email":"vmazzei@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Kristy Lee 0000-0003-1139-1222","orcid":"https://orcid.org/0000-0003-1139-1222","contributorId":296093,"corporation":false,"usgs":true,"family":"Sullivan","given":"Kristy Lee","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":922256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262210,"text":"70262210 - 2025 - Phenotypic homogenization and potential fitness constraints following non-native introgression in an endemic sportfish","interactions":[],"lastModifiedDate":"2025-01-16T14:28:36.88298","indexId":"70262210","displayToPublicDate":"2024-11-01T11:39:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2273,"text":"Journal of Evolutionary Biology","active":true,"publicationSubtype":{"id":10}},"title":"Phenotypic homogenization and potential fitness constraints following non-native introgression in an endemic sportfish","docAbstract":"<p><span>Introgressive hybridization may lead to contrasting evolutionary outcomes that are difficult to predict since they depend on the fitness effects of endogenous genomic interactions and environmental factors. Conservation of endemic biodiversity may be more effective with require direct measurement of introgressed ancestry and fitness in wild populations, especially for keystone taxa at risk of hybridization following species introductions. We assessed the relationship of non-native ancestry with growth and body condition in the basin-restricted Neosho Bass (</span><i>Micropterus velox</i><span>; NB), focussing on two streams in the NB native range that are admixed extensively with non-native Smallmouth Bass (</span><i>M. dolomieu</i><span>; SMB). We quantified the genetic composition of 116 fish from Big Sugar Creek (</span><i>N</i><span> = 46) and Elk River (</span><i>N</i><span> = 70) at 14 microsatellite loci. Using back-calculated total length-at-age estimated from sagittal otoliths, we assessed whether genetic ancestry explained variation in von Bertalanffy growth model parameters, accounting for sex and stream effects. We then assessed the relationship between ancestry and body condition. We found no differences in growth parameters by sex, stream, or ancestry, suggesting phenotypic homogenization which could be mediated by selection on body size. We found a negative correlation between SMB ancestry and condition, including lower condition in Big Sugar Creek, possibly reflecting a trade-off between maximum length and condition with respect to overall fitness. We show that ongoing non-native introgression, which may be augmented by anthropogenic SMB introductions, may attenuate evolutionary differentiation between species and directly influence fitness, possibly having critical implications for long-term persistence and management of adaptive potential in a popular and ecologically important endemic sportfish.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jeb/voae137","usgsCitation":"Gunn, J.C., Clements, S.J., Adams, G., Sterling, E., Moore, M.J., Volkers, T., and Eggert, L., 2025, Phenotypic homogenization and potential fitness constraints following non-native introgression in an endemic sportfish: Journal of Evolutionary Biology, v. 38, no. 1, p. 94-110, https://doi.org/10.1093/jeb/voae137.","productDescription":"17 p.","startPage":"94","endPage":"110","ipdsId":"IP-163887","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502531,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":466444,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gunn, Joe C.","contributorId":275348,"corporation":false,"usgs":false,"family":"Gunn","given":"Joe","email":"","middleInitial":"C.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":923517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clements, Sarah J.","contributorId":344054,"corporation":false,"usgs":false,"family":"Clements","given":"Sarah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":923518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Grant","contributorId":221867,"corporation":false,"usgs":false,"family":"Adams","given":"Grant","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":923519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sterling, Edward M.","contributorId":348534,"corporation":false,"usgs":false,"family":"Sterling","given":"Edward M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":923520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Michael J. 0000-0002-5495-7049","orcid":"https://orcid.org/0000-0002-5495-7049","contributorId":304258,"corporation":false,"usgs":true,"family":"Moore","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Volkers, Taylor N.","contributorId":348538,"corporation":false,"usgs":false,"family":"Volkers","given":"Taylor N.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":923522,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eggert, Lori S.","contributorId":348539,"corporation":false,"usgs":false,"family":"Eggert","given":"Lori S.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":923523,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70265466,"text":"70265466 - 2025 - Forest bird population status on Saipan, a small oceanic island","interactions":[],"lastModifiedDate":"2025-04-07T14:48:36.429723","indexId":"70265466","displayToPublicDate":"2024-10-31T09:43:20","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}},"title":"Forest bird population status on Saipan, a small oceanic island","docAbstract":"<p><span>Tropical oceanic islands are critical biodiversity hotspots where population monitoring can help to determine the status and trends of rare and endangered species. Saipan is the second largest island in the Mariana Islands and contains many endemic and range-restricted bird species. Surveys of forest birds were conducted on Saipan using point-transect distance sampling, starting in 1982. To determine population status for Saipan avifauna, we generated abundance estimates based on surveys conducted in 1982, 1997, 2007, and 2018. We also assessed community composition by exploring if there were changes in assemblage diversity, total forest bird abundance, and ratio of native to non-native populations over time. For the 2018 survey, there were 5791 detections of 18 species during 242 counts, with six of 18 species detected at &gt; 50 % of the counts and with relatively high abundance, while 12 species were detected at &lt; 50 % of the counts and were uncommon or rare. The most abundant species was Bridled White eye (nosa',&nbsp;</span><i>Zosterops conspicillatus saypani</i><span>) at &gt; 40 birds/ha and the least common species was the Saipan Reed Warbler (gå'ga' karisu,&nbsp;</span><i>Acrocephalus hiwae)</i><span>&nbsp;at &lt; 1 bird/ha. We found that the community composition is becoming slightly more even over time and the overall community abundance is stable (around 375,000 birds), but non-native species have become more common while native species have remained stable. Results from this study can be used to inform conservation management of forest birds in Saipan and contribute to a broader understanding of forest bird status in the Marianas.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2024.e03273","usgsCitation":"Bak, T., Mullin, S., Kohler, E., Eichelberger, B.A., and Camp, R.J., 2025, Forest bird population status on Saipan, a small oceanic island: Global Ecology and Conservation, v. 56, e03273, 13 p., https://doi.org/10.1016/j.gecco.2024.e03273.","productDescription":"e03273, 13 p.","ipdsId":"IP-153479","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":488557,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2024.e03273","text":"Publisher Index Page"},{"id":484243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Commonwealth of the Mariana Islands","otherGeospatial":"Saipan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              145.8423113862238,\n              15.30056214843205\n            ],\n            [\n              145.67365039456445,\n              15.30056214843205\n            ],\n            [\n              145.67365039456445,\n              15.084843679787\n            ],\n            [\n              145.8423113862238,\n              15.084843679787\n            ],\n            [\n              145.8423113862238,\n              15.30056214843205\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"56","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bak, Trevor","contributorId":292157,"corporation":false,"usgs":false,"family":"Bak","given":"Trevor","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":932774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullin, Steve","contributorId":353061,"corporation":false,"usgs":false,"family":"Mullin","given":"Steve","affiliations":[{"id":84333,"text":"Commonwealth of the Northern Mariana Islands, Department of Lands & Natural Resources, Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":932775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kohler, Emilie","contributorId":353062,"corporation":false,"usgs":false,"family":"Kohler","given":"Emilie","affiliations":[{"id":84333,"text":"Commonwealth of the Northern Mariana Islands, Department of Lands & Natural Resources, Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":932776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eichelberger, Bradley A. 0000-0002-7208-3437","orcid":"https://orcid.org/0000-0002-7208-3437","contributorId":224634,"corporation":false,"usgs":false,"family":"Eichelberger","given":"Bradley","email":"","middleInitial":"A.","affiliations":[{"id":40899,"text":"Division of Fish and Wildlife, Department of Lands and Natural Resources, Saipan, CNMI","active":true,"usgs":false}],"preferred":false,"id":932777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":932778,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260838,"text":"70260838 - 2025 - Density estimation using spatial capture-recapture analyses: Application to vaccination of prairie dogs against sylvatic plague","interactions":[],"lastModifiedDate":"2024-12-26T16:56:51.840568","indexId":"70260838","displayToPublicDate":"2024-10-30T09:44:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16872,"text":"The Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Density estimation using spatial capture-recapture analyses: Application to vaccination of prairie dogs against sylvatic plague","docAbstract":"<p><span>Prairie dogs are notoriously difficult to enumerate, with previously methods including visual counts, mark-resight, burrow counts, and catch per unit effort. Unlike those methods, spatial capture-recapture (SCR) analyses allow for formal estimation of density along with associated estimates of uncertainty, detection probability, and the size of the average area over which an individual was detected during the study period (referred to as an activity center). Using SCR analyses, we compared density estimates as part of a field trial evaluating the effectiveness of an oral sylvatic plague vaccine in black-tailed prairie dogs (</span><i>Cynomys ludovicianus</i><span>), Gunnison's prairie dogs (</span><i>C. gunnisoni</i><span>), white-tailed prairie dogs (</span><i>C. leucurus</i><span>), and Utah prairie dogs (</span><i>C. parvidens</i><span>) at 11 study areas in the western United States. The study was designed as a matched pairs analysis that included 27 individual paired plots (54 plots), each consisting of a plot treated with vaccine baits and a plot treated with placebo baits. Overall, we captured &gt;3,000 individuals each year on these plots, and recapture rates ranged from 5–87%. For black-tailed prairie dogs, density estimates ranged from 2.7 individuals/ha (95% CI = 2.2–3.3/ha) to 77.3/ha (63.2–94.4/ha), and for Gunnison's prairie dogs, estimates ranged from 11.7/ha (10.6–12.8/ha) to 15.4/ha (14.4–16.7/ha). White-tailed prairie dogs were at their lowest density (3.3/ha, 95% CI = 2.9–3.8/ha) during the first year of the study and their highest density (14.5/ha; 13.5–15.6/ha) during the last year of the study. Utah prairie dog density estimates ranged from a low of 4.0/ha (95% CI = 3.55–4.6/ha) to a high of 20.8/ha (16.8–25.8/ha). Best-fitting models of prairie dog density indicated increasing patterns of density over time on most study plots, negative effects of plague, and positive effects of vaccination. Finally, we found low correlations between catch per unit effort estimates from previous published literature at these sites and our densities estimates. Spatial capture-recapture estimates allowed us to consistently compare treatment effects across space and time, although some exceptions are noted where we observed significant movement between plots within a pair (3 pairs) and when trapping effort between plots or years was not consistent.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22685","collaboration":"USFWS, Colorado Parks and Wildlife","usgsCitation":"Russell, R., Tripp, D.W., Richgels, K., and Rocke, T.E., 2025, Density estimation using spatial capture-recapture analyses: Application to vaccination of prairie dogs against sylvatic plague: The Journal of Wildlife Management, v. 89, no. 1, e22685, 23 p., https://doi.org/10.1002/jwmg.22685.","productDescription":"e22685, 23 p.","ipdsId":"IP-158793","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":498019,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22685","text":"Publisher Index Page"},{"id":463873,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Montana, South Dakota, Utah, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.98561614040628,\n              34.4839827325285\n            ],\n            [\n              -108.73889237969084,\n              37.19778436176638\n            ],\n            [\n              -104.55370848711587,\n              41.09224829273401\n            ],\n            [\n              -104.12449258531782,\n              43.272766046086105\n            ],\n            [\n              -98.14309695950115,\n              43.53751422201606\n            ],\n            [\n              -99.6031401018387,\n              45.20609549050701\n            ],\n            [\n              -104.84540794547388,\n              45.7593468589921\n            ],\n            [\n              -106.25987403193622,\n              48.42027497028673\n            ],\n            [\n              -108.86475524017507,\n              48.24276368606209\n            ],\n            [\n              -110.38662146865491,\n              43.88726413158625\n            ],\n            [\n              -111.05816245806633,\n              39.524130102167646\n            ],\n            [\n              -113.70636242397714,\n              38.23265336260491\n            ],\n            [\n              -113.7362567368962,\n              34.703024548904935\n            ],\n            [\n              -112.98561614040628,\n              34.4839827325285\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":346151,"corporation":false,"usgs":false,"family":"Russell","given":"Robin E.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":918256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tripp, Dan W.","contributorId":346152,"corporation":false,"usgs":false,"family":"Tripp","given":"Dan","email":"","middleInitial":"W.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":918257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richgels, Katherine 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":167016,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":918258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":918259,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70260206,"text":"70260206 - 2025 - Twentieth century extreme precipitation detected in a high-resolution, coastal lake-sediment record from California","interactions":[],"lastModifiedDate":"2025-01-27T16:28:15.877265","indexId":"70260206","displayToPublicDate":"2024-10-29T08:15:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"Twentieth century extreme precipitation detected in a high-resolution, coastal lake-sediment record from California","docAbstract":"<p><span>California faces increasing economic and societal risks from extreme precipitation and flooding associated with atmospheric rivers (ARs) under projected twenty-first century climate warming. Lake sediments can retain signals of past extreme precipitation events, allowing reconstructions beyond the period of instrumental records. Here, we calibrate AR-related extreme precipitation from the last century to proxy data from lake sediments collected in the latitudinal zone of the highest frequency landfall for modern ARs in California. Excursions in erosional proxy data (Ti/Al) are positively and significantly correlated (r</span><sub><i>median</i></sub><span> = 0.45, p</span><sub><i>median</i></sub><span> = 0.04) with modern records of integrated vapor transport (IVT, kg&nbsp;m</span><sup>−1</sup><span>&nbsp;s</span><sup>−1</sup><span>), a key metric of AR intensity, using correlations that incorporate age-model uncertainty. Despite the land-use change near the study site, the data suggest intense and long-lasting AR storms are identifiable in this sedimentary record. These results allow conservative inferences concerning past extreme hydrology at this site.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10933-024-00345-9","usgsCitation":"Knight, C.A., Wahl, D., Addison, J.A., Baskaran, M., Anderson, R., Champagne, M.R., Anderson, L., Presnetsova, L.S., Caissie, B.E., and Starratt, S.W., 2025, Twentieth century extreme precipitation detected in a high-resolution, coastal lake-sediment record from California: Journal of Paleolimnology, v. 73, p. 35-51, https://doi.org/10.1007/s10933-024-00345-9.","productDescription":"17 p.","startPage":"35","endPage":"51","ipdsId":"IP-167936","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":489794,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10933-024-00345-9","text":"Publisher Index Page"},{"id":463427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Wildcat Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.77594069138576,\n              37.97415142373998\n            ],\n            [\n              -122.78933940359585,\n              37.97415142373998\n            ],\n            [\n              -122.78933940359585,\n              37.965032541085534\n            ],\n            [\n              -122.77594069138576,\n              37.965032541085534\n            ],\n            [\n              -122.77594069138576,\n              37.97415142373998\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"73","noUsgsAuthors":false,"publicationDate":"2024-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Knight, Clarke Alexandra 0000-0003-0002-6959","orcid":"https://orcid.org/0000-0003-0002-6959","contributorId":288487,"corporation":false,"usgs":true,"family":"Knight","given":"Clarke","email":"","middleInitial":"Alexandra","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wahl, David 0000-0002-0451-3554","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":206113,"corporation":false,"usgs":true,"family":"Wahl","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baskaran, Mark","contributorId":87867,"corporation":false,"usgs":false,"family":"Baskaran","given":"Mark","email":"","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":917412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, R. Scott","contributorId":6983,"corporation":false,"usgs":false,"family":"Anderson","given":"R. Scott","affiliations":[{"id":7034,"text":"School of Earth Sciences and Environmental Sustainability at Northern Arizona University, in Flagstaff","active":true,"usgs":false}],"preferred":false,"id":917413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Champagne, Marie Rhondelle 0000-0001-8236-3910","orcid":"https://orcid.org/0000-0001-8236-3910","contributorId":248214,"corporation":false,"usgs":true,"family":"Champagne","given":"Marie","email":"","middleInitial":"Rhondelle","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Presnetsova, Liubov S. 0000-0002-1351-8541 lpresnetsova@usgs.gov","orcid":"https://orcid.org/0000-0002-1351-8541","contributorId":296053,"corporation":false,"usgs":true,"family":"Presnetsova","given":"Liubov","email":"lpresnetsova@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917416,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Caissie, Beth Elaine 0000-0001-9587-1842","orcid":"https://orcid.org/0000-0001-9587-1842","contributorId":292500,"corporation":false,"usgs":true,"family":"Caissie","given":"Beth","email":"","middleInitial":"Elaine","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917417,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917418,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263375,"text":"70263375 - 2025 - Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River","interactions":[],"lastModifiedDate":"2025-03-11T15:02:17.928143","indexId":"70263375","displayToPublicDate":"2024-10-28T16:20:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River","docAbstract":"<p>The Chemehuevi Formation is a distinctive 50−150-m-thick wedge-shaped Pleistocene sedimentary unit deposited by the Colorado River. It lines the perimeters of the river’s floodplains and bedrock canyons for more than 600 km between the mouth of the Grand Canyon and the delta region in the Gulf of California. The formation is composed of a basal tan to light-yellowish-brown and pale-orange mud-dominated facies overlain and interbedded by a light-yellow-brown sand-dominated facies. The unit is one of two extensively exposed aggradational packages in the Lower Colorado River corridor, in addition to a series of other smaller alluvial terrace deposits. The Chemehuevi Formation appears to represent the response of a fully integrated Colorado River system to a significant perturbation, in contrast to the Bullhead Alluvium, which is likely a unique result of Pliocene river integration. The aggradation of the Chemehuevi Formation in the Lower Colorado River corridor may be similarly due to a unique event in the Colorado River system, or it may instead be a well-preserved sedimentary sequence recording typical behavior of the Colorado River below the Grand Canyon in the late Pleistocene. As such, multiple causal mechanisms have been proposed, but no study to date has conclusively explained the Chemehuevi Formation.</p><p>To help resolve its timing, duration, and origin, we applied post-infrared infrared stimulated luminescence, carbonate U-Th series, and zircon sensitive high-resolution ion microprobe U-Th series geochronology to determine the ages of key exposures of the unit over a wide spatial area. These new data demonstrate that the Chemehuevi Formation was deposited ca. 110−90 ka. The depositional ages collectively overlap, suggesting that deposition occurred rapidly relative to the resolution of the geochronometers. The new depositional timing coincides with a shift from glacial to interglacial conditions after the marine isotope stage 5-6 transition. This observation is consistent with a climate-induced sediment pulse as a causal mechanism, yet correlations with similar deposits in the Colorado River headwaters or in neighboring catchments appear elusive. Potentially, climate transitions between glacial and interglacial periods induced a sediment pulse from hillslopes of the Colorado River system that resulted in the Chemehuevi Formation. An alternative or additional explanation is that the Chemehuevi Formation represents release of lava dam−impounded sediment in the Grand Canyon. The surface geometry of the Chemehuevi Formation projects upstream to the approximate location of lava dams, and the largest possible lava dam impoundment (the Upper Prospect dam) is comparable in volume to the formation. The lava dam hypothesis appears to be a possible explanation for the Chemehuevi Formation. However, tying deposition to a specific lava dam or series of lava dams remains challenging due to discrepancies in timing and volume. The combined effects of a series of lava dams may have led to the Chemehuevi Formation, as the last Pleistocene lava dam eruption coincides with the onset of deposition. Alternatively, the formation may result from the combined effects of both regional climate transitions and the lava dams that created a transient reservoir to compound a climate transition−driven sediment pulse. The geochronologic data presented here do not allow us to distinguish between the lava dam or climate transition hypotheses but will need to be reconciled with any future proposed depositional model.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37579.1","usgsCitation":"Gray, H., House, K., Hudson, A.M., Vazquez, J.A., Crow, R.S., Primus, M., Mahan, S.A., Rittenour, T.M., and Howard, K., 2025, Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River: GSA Bulletin, v. 137, no. 3-4, p. 1582-1606, https://doi.org/10.1130/B37579.1.","productDescription":"25 p.","startPage":"1582","endPage":"1606","ipdsId":"IP-156841","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":496379,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b37579.1","text":"Publisher Index Page"},{"id":481869,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Lower Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.04673343546492,\n              36.093655050676304\n            ],\n            [\n              -115.04673343546492,\n              32.810604750099\n            ],\n            [\n              -114.08658173380047,\n              32.810604750099\n            ],\n            [\n              -114.08658173380047,\n              36.093655050676304\n            ],\n            [\n              -115.04673343546492,\n              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,{"id":70260476,"text":"70260476 - 2025 - Mangrove freeze resistance and resilience across a tropical-temperate transitional zone","interactions":[],"lastModifiedDate":"2025-01-13T16:17:58.74934","indexId":"70260476","displayToPublicDate":"2024-10-27T11:28:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Mangrove freeze resistance and resilience across a tropical-temperate transitional zone","docAbstract":"<ol class=\"\"><li>Freeze events govern the distribution and structure of mangrove ecosystems, especially in tropical-temperate transitional zones. Understanding mangrove responses to freezing is crucial for predicting their poleward expansion under climate change. However, there is a need for field-based measurements of mangrove freeze resistance and resilience.</li><li>After an extreme winter storm in December 2022, we measured mangrove post-freeze damage and recovery (January and November 2023), building on a pre-freeze baseline assessment conducted in July 2022 across 12 sites along the temperature gradient of Florida's Gulf of Mexico coast (USA).</li><li>Low-temperature thresholds for leaf damage to<span>&nbsp;</span><i>Avicennia germinans</i>,<span>&nbsp;</span><i>Rhizophora mangle</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Laguncularia racemosa</i><span>&nbsp;</span>were quantified near −6, −4 and − 4°C, respectively. Thresholds for mortality were found to be near −6 to −7°C for<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>and −4 to −5°C for<span>&nbsp;</span><i>R. mangle</i>. A threshold for loss of reproductivity in<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>was identified near −6 to −7°C. Resprouting was observed in all three species but limited to just one individual for<span>&nbsp;</span><i>R. mangle</i>. Surviving<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>resprouted vigorously and had the greatest number of resprout branches, which was proportional to leaf damage. Tall<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>had a higher resprout percentage than short trees.</li><li>Strata-specific differences in freeze damage were most pronounced for<span>&nbsp;</span><i>R. mangle</i>, with higher damage in tall versus short trees, while no difference was found between<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>strata. These results suggest that<span>&nbsp;</span><i>R. mangle</i><span>&nbsp;</span>population recovery may depend on the growth of short trees, while<span>&nbsp;</span><i>A. germinans</i><span>&nbsp;</span>can recover from all strata.</li><li>Minimum air temperature was strongly correlated with mangrove height and above-ground biomass. Projections of future minimum temperature and species-specific freeze degree days predict warming winters, suggesting further mangrove development and range expansion under climate change.</li><li><i>Synthesis</i>: Collectively, our study advances understanding of mangrove responses to freezing and identifies low-temperature thresholds for each species, aiding predictions of mangrove range expansion.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.14440","usgsCitation":"Kang, Y., Kaplan, D.A., and Osland, M., 2025, Mangrove freeze resistance and resilience across a tropical-temperate transitional zone: Journal of Ecology, v. 113, no. 1, p. 94-111, https://doi.org/10.1111/1365-2745.14440.","productDescription":"18 p.","startPage":"94","endPage":"111","ipdsId":"IP-164936","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466689,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.14440","text":"Publisher Index Page"},{"id":463598,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.40290069342466,\n              25.906521640989908\n            ],\n            [\n              -82.06256075990322,\n              27.41567818911821\n            ],\n            [\n              -82.64187427689278,\n              29.308784339959274\n            ],\n            [\n              -84.00595139719567,\n              30.29382609317352\n            ],\n            [\n              -85.41064997045446,\n              29.868114995032613\n            ],\n            [\n              -85.23752805781119,\n              29.524883223482092\n            ],\n            [\n              -84.12633249772112,\n              29.945685884568448\n            ],\n            [\n              -83.24817782103288,\n              29.151403640362943\n            ],\n            [\n              -82.89217091435529,\n              28.697850175197004\n            ],\n            [\n              -82.947239814896,\n              28.128248775348467\n            ],\n            [\n              -82.89606302804007,\n              27.598776022757306\n            ],\n            [\n              -82.33290104307302,\n              26.677685084749825\n            ],\n            [\n              -81.65457461322852,\n              25.77388340579192\n            ],\n            [\n              -81.40290069342466,\n              25.906521640989908\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"113","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Yiyang","contributorId":305365,"corporation":false,"usgs":false,"family":"Kang","given":"Yiyang","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":917777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaplan, David A.","contributorId":218915,"corporation":false,"usgs":false,"family":"Kaplan","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":39937,"text":"University of Florida, Gainesville, FL USA","active":true,"usgs":false}],"preferred":false,"id":917778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":222814,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":917779,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70267770,"text":"70267770 - 2025 - Evaluating the effects of nest management on a recovering raptor using integrated population modeling","interactions":[],"lastModifiedDate":"2025-05-30T15:30:50.249332","indexId":"70267770","displayToPublicDate":"2024-10-25T08:25:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effects of nest management on a recovering raptor using integrated population modeling","docAbstract":"<p><span>Evaluating population responses to management is a crucial component of successful conservation programs. Models predicting population growth under different management scenarios can provide key insights into the efficacy of specific management actions both in reversing population decline and in maintaining recovered populations. Bald eagle (</span><i>Haliaeetus leucocephalus</i><span>) conservation in the United States has seen many successes over the last 50 years, yet the extent to which the bald eagle population has recovered in Arizona, an important population within the Southwest region, remains an area of debate. Estimates of the species' population trend and an evaluation of ongoing nest-level management practices are needed to inform management decisions. We developed a Bayesian integrated population model (IPM) and population viability analysis (PVA) using a 36-year dataset to assess Arizona bald eagle population dynamics and their underlying demographic rates under current and possible future management practices. We estimated that the population grew from 77 females in 1993 to 180 females in 2022, an average yearly increase of 3%. Breeding sites that had trained personnel (i.e., nestwatchers) stationed at active nests to mitigate human disturbance had a 28% higher reproductive output than nests without this protection. Uncertainty around population trends was high, but scenarios that continued the nestwatcher program were less likely to predict abundance declines than scenarios without nestwatchers. Here, the IPM-PVA framework provides a useful tool both for estimating the effectiveness of past management actions and for exploring the management needs of a delisted population, highlighting that continued management action may be necessary to maintain population viability even after meeting certain recovery criteria.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4943","usgsCitation":"Cappello, C., Jacobson, K., Driscoll, J., McCarty, K., and Bauder, J.M., 2025, Evaluating the effects of nest management on a recovering raptor using integrated population modeling: Ecosphere, v. 15, no. 10, e4943, 19 p., https://doi.org/10.1002/ecs2.4943.","productDescription":"e4943, 19 p.","ipdsId":"IP-154963","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490651,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4943","text":"Publisher Index 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 \"}}]}","volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Cappello, Caroline D.","contributorId":356152,"corporation":false,"usgs":false,"family":"Cappello","given":"Caroline D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":938805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobson, Kenneth V.","contributorId":356153,"corporation":false,"usgs":false,"family":"Jacobson","given":"Kenneth V.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, James T.","contributorId":356154,"corporation":false,"usgs":false,"family":"Driscoll","given":"James T.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCarty, Kyle M.","contributorId":356155,"corporation":false,"usgs":false,"family":"McCarty","given":"Kyle M.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938809,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261690,"text":"70261690 - 2025 - Riparian vegetated area in pre-dam, post-dam, and environmental flow periods in Canyonlands National Park from 1940 to 2022","interactions":[],"lastModifiedDate":"2025-03-11T14:52:27.900675","indexId":"70261690","displayToPublicDate":"2024-10-24T11:00:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Riparian vegetated area in pre-dam, post-dam, and environmental flow periods in Canyonlands National Park from 1940 to 2022","docAbstract":"<p><span>The Upper Colorado River Basin is the principal water supply of the western United States and includes a series of canyons that provide habitat for disproportionate numbers of flora and fauna. Following the closing of Flaming Gorge and Blue Mesa dams in 1963 and 1966, decreases in peak flows and elevated base flows allowed extensive vegetation encroachment, channel narrowing, and channel simplification. Since 1992, reservoir releases have been modified to increase the ratio of peak to base flows for environmental reasons, including protection of endangered fish. We used remote imagery from 1940 to 2022 to examine rates of vegetation encroachment along three river reaches in Canyonlands National Park during the pre-dam (1940–1966), post-dam (1967–1992), and environmental flows (1993–2022) periods. We found an increase in the vegetated area along the Colorado and Green Rivers upstream of their confluence since 1940. We documented a 6.1% and 4.0% increase in vegetated area in the post-dam period and a 19.5% and 6.5% increase in vegetated area in the environmental flows period on the Colorado and Green Rivers, respectively. The Cataract Canyon reach (Colorado River below the confluence) has been stable since 1966. All three river reaches showed the slowest period of vegetation encroachment, indicative of channel narrowing, in the last 16 years of environmental flows that included a large peakflow in 2011. Environmental flows that mimic the natural hydrograph have not reversed decreases in peak flow and channel width, due in part to decreasing runoff and increasing flow diversion. Flow alterations that reduce the spring peak could cause further narrowing.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4395","usgsCitation":"Perkins, D.W., Wight, A., Wondzell, M., and Friedman, J.M., 2025, Riparian vegetated area in pre-dam, post-dam, and environmental flow periods in Canyonlands National Park from 1940 to 2022: River Research and Applications, v. 41, no. 3, p. 662-678, https://doi.org/10.1002/rra.4395.","productDescription":"17 p.","startPage":"662","endPage":"678","ipdsId":"IP-159010","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466823,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4395","text":"Publisher Index Page"},{"id":466822,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4395","text":"Publisher Index Page"},{"id":465286,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Canyonlands National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.45873626537072,\n              38.95929353896307\n            ],\n            [\n              -110.45873626537072,\n              37.88316549865948\n            ],\n            [\n              -109.41395303049222,\n              37.88316549865948\n            ],\n            [\n              -109.41395303049222,\n              38.95929353896307\n            ],\n            [\n              -110.45873626537072,\n              38.95929353896307\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Perkins, Dustin W.","contributorId":347345,"corporation":false,"usgs":false,"family":"Perkins","given":"Dustin","email":"","middleInitial":"W.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":921440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wight, Aneth","contributorId":347346,"corporation":false,"usgs":false,"family":"Wight","given":"Aneth","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":921441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wondzell, Mark","contributorId":347347,"corporation":false,"usgs":false,"family":"Wondzell","given":"Mark","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":921442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":921443,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262572,"text":"70262572 - 2025 - Factors influencing the prevalence of hyperpigmented melanistic lesions in smallmouth bass Micropterus dolomieu in the Susquehanna River Basin, Pennsylvania","interactions":[],"lastModifiedDate":"2025-01-22T14:48:14.902341","indexId":"70262572","displayToPublicDate":"2024-10-23T09:56:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Factors influencing the prevalence of hyperpigmented melanistic lesions in smallmouth bass <i>Micropterus dolomieu</i> in the Susquehanna River Basin, Pennsylvania","title":"Factors influencing the prevalence of hyperpigmented melanistic lesions in smallmouth bass Micropterus dolomieu in the Susquehanna River Basin, Pennsylvania","docAbstract":"<p><span>Hyperpigmented melanistic lesions (HPMLs) are a visual anomaly documented on the skin of smallmouth bass&nbsp;</span><i>Micropterus dolomieu</i><span>&nbsp;in the Susquehanna River Basin, Pennsylvania and in numerous other geographical locations. Currently, there is a lack of information on environmental and fish characteristics that may influence the prevalence of HPMLs associated with a recently described&nbsp;</span><i>Adomavirus</i><span>. The goal of this study was to understand potential drivers associated with HPMLs in socioeconomically and ecologically important riverine smallmouth bass populations. A total of 16,220 smallmouth bass were collected and examined for HPMLs between 2012 and 2022 in the Susquehanna River Basin. Overall, HPMLs were documented on 2.9% of fish collected. The interaction between temperature and fish size suggested differing relationships between shorter and longer fish with respect to temperature. Predicted probability of HPML prevalence ranged from 1.1% (95% CI = 0.3, 3.2) at 4°C to 0.01% (CI = 0.00, 0.04) at 26°C for an age-0 (125 mm) fish. In contrast, predicted probability of HPML prevalence ranged from 10.5% (95% CI = 5.8, 18.9) at 4°C to 0.8% (CI = 0.4, 1.5) at 26°C for an adult (322 mm) fish. Overall, HPMLs were more common in longer fish during cooler temperature periods which also corresponds to key life history periods for smallmouth bass (e.g., pre-spawn and overwintering) and could represent different exposure histories for juvenile and adult fish.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfd.14033","usgsCitation":"Schall, M., Smith, G., Blazer, V., Walsh, H.L., and Wagner, T., 2025, Factors influencing the prevalence of hyperpigmented melanistic lesions in smallmouth bass Micropterus dolomieu in the Susquehanna River Basin, Pennsylvania: Journal of Fish Diseases, v. 48, no. 1, e14033, 12 p., https://doi.org/10.1111/jfd.14033.","productDescription":"e14033, 12 p.","ipdsId":"IP-168079","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":481036,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfd.14033","text":"Publisher Index Page"},{"id":480826,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Susquehanna River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.46391525669247,\n              42.00137220473593\n            ],\n            [\n              -77.46391525669247,\n              39.70956801060399\n            ],\n            [\n              -75.15872410317479,\n              39.70956801060399\n            ],\n            [\n              -75.15872410317479,\n              42.00137220473593\n            ],\n            [\n              -77.46391525669247,\n              42.00137220473593\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Schall, Megan","contributorId":349689,"corporation":false,"usgs":false,"family":"Schall","given":"Megan","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":924573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Geoff","contributorId":349691,"corporation":false,"usgs":false,"family":"Smith","given":"Geoff","affiliations":[{"id":56913,"text":"PA Fish & Boat Commission","active":true,"usgs":false}],"preferred":false,"id":924574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":349694,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":924575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":924576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924577,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260910,"text":"70260910 - 2025 - Comparative behavioral responses of grass carp (Ctenopharyngodon idella), bighead carp (Hypophthalmichthys nobilis), and silver carp (H. molitrix) to free amino acids in water","interactions":[],"lastModifiedDate":"2025-02-24T16:49:38.561292","indexId":"70260910","displayToPublicDate":"2024-10-22T09:51:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparative behavioral responses of grass carp (<i>Ctenopharyngodon idella</i>), bighead carp (<i>Hypophthalmichthys nobilis</i>), and silver carp (<i>H. molitrix</i>) to free amino acids in water","title":"Comparative behavioral responses of grass carp (Ctenopharyngodon idella), bighead carp (Hypophthalmichthys nobilis), and silver carp (H. molitrix) to free amino acids in water","docAbstract":"<p><span>Control and elimination of invasive fishes, like carps (Order Cypriniformes), may be possible by using chemical stimuli to congregate them for removal. To this end, we tested behavioral responses of grass (</span><i>Ctenopharyngodon idella</i><span>), bighead (</span><i>Hypophthalmichthys nobilis</i><span>), and silver carp (</span><i>H. molitrix</i><span>) to L-alanine, L-arginine, L-glutamic acid, and L-aspartic acid. In grass carp, the first three amino acids have been shown to be beneficial for growth, and all four produce a strong olfactory response in this species. This study used pairs of conspecific fish in a video-recorded, sound-insulated, clear acrylic, tube-shaped tank; during trials, an amino acid stimulus was delivered at one end of that tank. Changes in space use, velocity, and acceleration across all amino acids differed significantly among species. Changes in space use by grass carp indicated avoidance of only two amino acids, L-alanine and L-aspartic acid. There was no evidence for attraction to amino acids for grass or silver carp. For bighead carp, change in spatial use on exposure to amino acids indicated attraction across the four amino acids. This attraction was enhanced by lowered velocity. Our results suggested that olfactory sensitivity does not directly translate to behavioral responses. Other sensory cues, for example tactile, visual, and/or taste, may mediate the selective foraging of grass carp. Amino acids may serve as a better olfactory attractant for bighead carp compared to grass or silver carp.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.15964","usgsCitation":"Wildhaber, M.L., Beaman, Z.D., Ditter, K.K., and West, B.M., 2025, Comparative behavioral responses of grass carp (Ctenopharyngodon idella), bighead carp (Hypophthalmichthys nobilis), and silver carp (H. molitrix) to free amino acids in water: Journal of Fish Biology, v. 106, no. 2, p. 481-491, https://doi.org/10.1111/jfb.15964.","productDescription":"11 p.","startPage":"481","endPage":"491","ipdsId":"IP-166482","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":464030,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaman, Zachary D 0000-0001-9649-1585","orcid":"https://orcid.org/0000-0001-9649-1585","contributorId":312457,"corporation":false,"usgs":true,"family":"Beaman","given":"Zachary","email":"","middleInitial":"D","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ditter, Karlie K 0000-0001-8970-2022","orcid":"https://orcid.org/0000-0001-8970-2022","contributorId":312455,"corporation":false,"usgs":true,"family":"Ditter","given":"Karlie","email":"","middleInitial":"K","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, Benjamin M 0000-0001-8355-0013","orcid":"https://orcid.org/0000-0001-8355-0013","contributorId":298588,"corporation":false,"usgs":true,"family":"West","given":"Benjamin","email":"","middleInitial":"M","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":918492,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70260814,"text":"70260814 - 2025 - Edge effects along roadside fuel treatments in sagebrush steppe","interactions":[],"lastModifiedDate":"2024-12-10T15:34:48.363233","indexId":"70260814","displayToPublicDate":"2024-10-22T06:48:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Edge effects along roadside fuel treatments in sagebrush steppe","docAbstract":"<p>Increasing wildfire has motivated the construction of fuel breaks on many rangelands to improve prospects for wildfire suppression. However, the linear shape of fuel breaks greatly increases treatment perimeter: area and thus increased potential for edge effects, e.g., invasions by exotic plants. Potential for edge effects are further increased by the disturbances associated with fuel-break implementation. Fire risk in perennial-dominated and sagebrush-steppe rangelands are increased by exotic species, such as cheatgrass and other associated annuals, and therefore invasions after fuel-break implementation are problematic, yet have rarely been evaluated. Abundances of dominant invaders, cheatgrass and Russian thistle, were measured along treated and neighboring untreated edges in 40 paired plots along ∼61 km of 60-m wide fuel breaks. Fuel breaks were constructed using a variety of shrub-cutting and herbicide applications 1–4 yr before measurement. Generalized linear mixed effect models revealed that fractional cover significantly increased in treated compared with untreated areas by 0.02–0.12 for cheatgrass and 0–0.06 for Russian thistle within 9 m of treatment boundaries (on a scale of 0-1). We neither detected increased invasion in adjacent and untreated areas nor gradients of increasing invasion with proximity to treatment boundaries. Although these findings reveal invasions that were otherwise undetected across the entire 60 m width of fuel breaks, invasion levels did not surpass nominal management thresholds for fire behavior or risk of conversion to annual grasslands.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.031","usgsCitation":"Price, S.J., Germino, M., and Watt, C.R., 2025, Edge effects along roadside fuel treatments in sagebrush steppe: Rangeland Ecology and Management, v. 98, p. 155-159, https://doi.org/10.1016/j.rama.2024.08.031.","productDescription":"5 p.","startPage":"155","endPage":"159","ipdsId":"IP-164496","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":463846,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Price, Samuel J. 0000-0003-4172-4139","orcid":"https://orcid.org/0000-0003-4172-4139","contributorId":297001,"corporation":false,"usgs":true,"family":"Price","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watt, Chloe Rose 0009-0008-3238-1764","orcid":"https://orcid.org/0009-0008-3238-1764","contributorId":345937,"corporation":false,"usgs":true,"family":"Watt","given":"Chloe","email":"","middleInitial":"Rose","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918189,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70270664,"text":"70270664 - 2025 - No evidence hunting bait increases American black bear population growth in Maine, USA","interactions":[],"lastModifiedDate":"2025-08-25T15:23:30.296878","indexId":"70270664","displayToPublicDate":"2024-10-20T10:19:09","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":"No evidence hunting bait increases American black bear population growth in Maine, USA","docAbstract":"<p><span>American black bear (</span><i>Ursus americanus</i><span>) populations are increasing throughout much of North America. Use of multiple harvest methods, including hunting over bait, is intended to increase harvest success rates to meet harvest and population management objectives. However, black bear population growth can be influenced by food availability, and some speculate the use of bait may inadvertently increase bear abundance through food resource supplementation. We collected hair from black bears captured from 2005–2019 and a selection of potential food items, including those used as bait from 3 study areas in Maine, USA, with different levels of human influence. We used stable isotope analysis of the black bear hair and food item samples to evaluate the contribution of different identified food groups to the diet of individual bears. We found no evidence that greater contribution of human food resources, including bait, increased the number of cubs per litter for reproductive females or that human foods comprised a greater part of the diet in years when natural food resources were less abundant. Approximately 69% of black bear harvest occurred over bait. We found the probability of reproductive-age females to be harvested increased with average representation of human foods with high carbon enrichment (including bait) in their diet, but the relationship was weak, likely because of sampling constraints. Additionally, the probability of being harvested was greater in years when natural food resources were scarce. We conclude that bait is not available on the landscape in large enough amounts or for a sufficient amount of time in Maine to substantially influence female reproduction. Our results indicate hunting over bait is an effective tool in a state that is attempting to maintain a stable bear population via harvest, and dispels conjecture that hunting over bait may increase cub production and offset the intention of harvest.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22681","usgsCitation":"Morin, D.J., Vashon, J.H., O’Neal, M., Hostetter, N.J., and Flaherty, E.A., 2025, No evidence hunting bait increases American black bear population growth in Maine, USA: Journal of Wildlife Management, v. 89, no. 1, e22681, 22 p., https://doi.org/10.1002/jwmg.22681.","productDescription":"e22681, 22 p.","ipdsId":"IP-163790","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22681","text":"Publisher Index 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,{"id":70263240,"text":"70263240 - 2025 - Predation of Lost River and Shortnose suckers by piscivorous colonial waterbirds in the Upper Klamath Basin: An analysis of predation effects during 2021–2023","interactions":[],"lastModifiedDate":"2025-02-03T15:32:33.686718","indexId":"70263240","displayToPublicDate":"2024-10-17T09:27:15","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Predation of Lost River and Shortnose suckers by piscivorous colonial waterbirds in the Upper Klamath Basin: An analysis of predation effects during 2021–2023","docAbstract":"<p>Previously published research indicated that predation by piscivorous colonial waterbirds in the Upper Klamath Basin was a source of mortality for Lost River suckers (<i>Deltistes luxatus</i>) and Shortnose suckers (<i>Chasmistes brevirostris</i>), including mortality of Sucker Assisted Rearing Program (SARP) fish. Avian predation on recently released Chinook Salmon (<i>Oncorhynchus tshawytscha</i>) in the Upper Klamath Basin has not been studied. To provide fisheries managers with the most up-to-date information, we estimated predation rates on passive integrated transponder tagged (PIT) suckers and Chinook Salmon by breeding colonies of American White Pelicans (<i>Pelecanus erythrorhynchos</i>), Double-crested Cormorants (<i>Nannopterum auritum</i>), Caspian Terns (<i>Hydroprogne caspia</i>), California Gulls (<i>Larus californicus</i>), Ring-billed Gulls (<i>L. delawarensis</i>), Great Blue Herons (<i>Ardea herodias</i>), and Great Egrets (<i>A. alba</i>) during 2021–2023. Predation rate estimates were variable depending on the fish species, age-class (juvenile, adult), waterbody (Upper Klamath Lake, Clear Lake Reservoir, Sheepy Lake), and year. Results indicated that avian predation rates were highest on juvenile suckers and on suckers in Clear Lake Reservoir. SARP fish released in the spring/summer were more likely to be consumed by breeding birds than those released in the fall/winter, although the number of fish released in the fall/winter that survived to the spring/summer was unknown and could bias predation estimates low. Predation rate estimates on Chinook Salmon varied by year, release timing (spring/summer, fall/winter), release location (Upper Klamath Lake, Klamath River), and age-class (subyearling, yearling). The location and size of colonies were also highly variable depending on the bird species, colony location, and year. Future research could focus on identifying biotic and abiotic factors associated with sucker susceptibility to piscivorous colonial waterbirds and determining to what degree avian predation limits the recovery of suckers in the Upper Klamath Basin. </p>","language":"English","publisher":"Bird Research Northwest (BRNW) website: birdresearchnw.org","collaboration":"RTR (RealTime Research) Report, Bureau of Reclaimation","usgsCitation":"Banet, N., Payton, Q., Evans, A., Paul-Wilson, R.K., Krause, J.R., Hayes, B., and Benham, E., 2025, Predation of Lost River and Shortnose suckers by piscivorous colonial waterbirds in the Upper Klamath Basin: An analysis of predation effects during 2021–2023, 34 p.","productDescription":"34 p.","ipdsId":"IP-170462","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":481605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Upper Klamath basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.28212299679791,\n              42.72419140413197\n            ],\n            [\n              -122.28212299679791,\n              41.744754458675885\n            ],\n            [\n              -120.76750924697343,\n              41.744754458675885\n            ],\n            [\n              -120.76750924697343,\n              42.72419140413197\n            ],\n            [\n              -122.28212299679791,\n              42.72419140413197\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Banet, Nathan B","contributorId":350420,"corporation":false,"usgs":false,"family":"Banet","given":"Nathan B","affiliations":[{"id":83736,"text":"Real Time Research, Inc., Bend, OR","active":true,"usgs":false}],"preferred":false,"id":925985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Payton, Quinn","contributorId":149990,"corporation":false,"usgs":false,"family":"Payton","given":"Quinn","email":"","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":925986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Allen","contributorId":149989,"corporation":false,"usgs":false,"family":"Evans","given":"Allen","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":925987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paul-Wilson, Rachael Katelyn 0000-0002-8213-1084","orcid":"https://orcid.org/0000-0002-8213-1084","contributorId":298894,"corporation":false,"usgs":true,"family":"Paul-Wilson","given":"Rachael","email":"","middleInitial":"Katelyn","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":925988,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krause, Jacob Richard 0000-0002-9804-2481","orcid":"https://orcid.org/0000-0002-9804-2481","contributorId":300701,"corporation":false,"usgs":true,"family":"Krause","given":"Jacob","email":"","middleInitial":"Richard","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":925989,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayes, Brian S. 0000-0001-8229-4070","orcid":"https://orcid.org/0000-0001-8229-4070","contributorId":37022,"corporation":false,"usgs":true,"family":"Hayes","given":"Brian S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":925990,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benham, Erin Marie 0009-0000-2972-1897","orcid":"https://orcid.org/0009-0000-2972-1897","contributorId":350421,"corporation":false,"usgs":true,"family":"Benham","given":"Erin Marie","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":925991,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259728,"text":"70259728 - 2025 - Most pinyon-juniper woodland species distributions are projected to shrink rather than shift under climate change","interactions":[],"lastModifiedDate":"2024-12-10T15:28:37.720649","indexId":"70259728","displayToPublicDate":"2024-10-16T06:56:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Most pinyon-juniper woodland species distributions are projected to shrink rather than shift under climate change","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0001\" class=\"abstract author\"><div id=\"abss0001\"><div id=\"spara008\" class=\"u-margin-s-bottom\">Pinyon–juniper (PJ) woodlands are among the most widespread ecosystems in rangelands of western North America, supporting diverse wildlife habitat, recreation, grazing, and cultural/spiritual enrichment. Anticipating future distribution shifts under changing climate will be critical to climate adaptation and conservation efforts in these ecosystems. Here, we evaluate drivers of PJ tree species’ distributions and project changes in response to future climate change. We developed species distribution models with dryland-focused predictors to project environmental suitability changes across the entirety of three pinyon and six juniper species ranges. We identify areas of robust suitability change by combining suitability projections from multiple emissions scenarios and time periods. PJ species’ suitabilities respond to many temperature and moisture covariates expected to change in the future. Projected responses among PJ species are highly variable, ranging from modest declines with concurrent gains for overall little net change to wide-ranging declines with no gains for overall range contractions. Environmental suitability is projected to decline broadly across the arid United States Southwest and remain relatively stable across the northern Great Basin and Colorado Plateau. Our results suggest unique responses of PJ species to future climate change. We found that species were projected to experience more losses than gains in suitability, for overall range shrinks rather than shifts. Land managers have the capacity to increase woodland resilience to drought, and our results can inform rangeland-wide management planning and conservation efforts in PJ woodlands.</div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.09.002","usgsCitation":"Noel, A.R., Schlaepfer, D.R., Butterfield, B.J., Swan, M., Norris, J.M., Hartwig, K., Duniway, M.C., and Bradford, J., 2025, Most pinyon-juniper woodland species distributions are projected to shrink rather than shift under climate change: Rangeland Ecology & Management, v. 98, p. 424-466, https://doi.org/10.1016/j.rama.2024.09.002.","productDescription":"43 p.","startPage":"424","endPage":"466","ipdsId":"IP-161377","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":466690,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.09.002","text":"Publisher Index Page"},{"id":463086,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Noel, Adam Roy 0000-0002-0891-4005","orcid":"https://orcid.org/0000-0002-0891-4005","contributorId":294761,"corporation":false,"usgs":true,"family":"Noel","given":"Adam","email":"","middleInitial":"Roy","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":916476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swan, M.C.","contributorId":345414,"corporation":false,"usgs":false,"family":"Swan","given":"M.C.","email":"","affiliations":[{"id":82575,"text":"National Park Service, Southern Colorado Plateau Network, Flagstaff, AZ, 86011 USA","active":true,"usgs":false}],"preferred":false,"id":916477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Norris, J. Michael 0000-0002-7480-0161","orcid":"https://orcid.org/0000-0002-7480-0161","contributorId":335919,"corporation":false,"usgs":false,"family":"Norris","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":916478,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartwig, K.","contributorId":345415,"corporation":false,"usgs":false,"family":"Hartwig","given":"K.","email":"","affiliations":[{"id":82576,"text":"National Park Service, Fruita, CO 81521 USA","active":true,"usgs":false}],"preferred":false,"id":916479,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916480,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916481,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70267493,"text":"70267493 - 2025 - Unique seismic and eruption precursors to the 1996 and ongoing magmatic eruptions of Popocatépetl: Coupled and fluidized bed events","interactions":[],"lastModifiedDate":"2025-05-28T13:05:40.054582","indexId":"70267493","displayToPublicDate":"2024-10-15T09:33:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Unique seismic and eruption precursors to the 1996 and ongoing magmatic eruptions of Popocatépetl: Coupled and fluidized bed events","docAbstract":"<p><span>We describe three unique types of seismicity at Popocatépetl volcano that accompanied the initial vent-clearing eruptive activity in December 1994 through the eruption of the first two domes in 1996. We identify and describe two types of coupled events, 1) spasmodic burst coupled events, a burst of volcano tectonic (VT) events coupled with a large eruptive explosion (21 December 1994 and 5 March 1996), and 2) explosion-couplet coupled events, a pair of events with a deeper first event and whose second event correlates with a small gas emission or explosion. Explosion-couplets occurred with the onset of magmatic ash dominated eruptions and their properties are very useful for forecasting magmatic eruptions at Popocatépetl volcano. Measurable quantities including the time between the first and second phase, daily numbers of events, and the amplitude ratio between the second and first phase systematically changed as the first two domes approached the surface between March and June 1996. Interevent times decreased from many tens of seconds to a few seconds, while amplitude ratios increased from about 2 to 10 or more. Event numbers increased prior to and during initial dome extrusion. These changes were used to forecast the eruption of the first two domes. We also report on another unusual type of low frequency seismicity that accompanied emissions called fluidized bed events. Fluidized bed events occurred following the initial eruption on 21 December 1994, beginning mid-January 1995, when SO</span><sub>2</sub><span>&nbsp;emissions were initially elevated, and the conduit was open. Fluidized bed events began to wane in late March through the end of May 1995 as did SO</span><sub>2</sub><span>&nbsp;emissions. Consistent gas, visual and seismic observations by Centro Nacional de Prevención de Desastres (CENAPRED) enabled the direct correlation of the gas, magma, and seismic phenomena.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2024.108208","usgsCitation":"McCausland, W., Caballero-Jimenez, G., Guevara-Ortiz, E., Trujillo-Castrillón, N., Valdés-González, C., Gómez-Vázquez, Á., Delgado-Granados, H., Arciniega-Ceballos, A., and White, R., 2025, Unique seismic and eruption precursors to the 1996 and ongoing magmatic eruptions of Popocatépetl: Coupled and fluidized bed events: Journal of Volcanology and Geothermal Research, v. 455, 108208, 19 p., https://doi.org/10.1016/j.jvolgeores.2024.108208.","productDescription":"108208, 19 p.","ipdsId":"IP-161284","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488442,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2024.108208","text":"Publisher Index Page"},{"id":486577,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Popocatépetl","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.70226312283529,\n              19.075280610010623\n            ],\n            [\n              -98.70226312283529,\n              18.972725043748326\n            ],\n            [\n              -98.56985302331725,\n              18.972725043748326\n            ],\n            [\n              -98.56985302331725,\n              19.075280610010623\n            ],\n            [\n              -98.70226312283529,\n              19.075280610010623\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"455","noUsgsAuthors":false,"publicationDate":"2024-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"McCausland, Wendy 0000-0002-8683-1440","orcid":"https://orcid.org/0000-0002-8683-1440","contributorId":344963,"corporation":false,"usgs":true,"family":"McCausland","given":"Wendy","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":938395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caballero-Jimenez, Gema V.","contributorId":355927,"corporation":false,"usgs":false,"family":"Caballero-Jimenez","given":"Gema V.","affiliations":[{"id":84863,"text":"2. Centro Nacional de Prevención Desastres, Mexico City, Mexico","active":true,"usgs":false}],"preferred":false,"id":938396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guevara-Ortiz, Enrique","contributorId":355928,"corporation":false,"usgs":false,"family":"Guevara-Ortiz","given":"Enrique","affiliations":[{"id":84863,"text":"2. Centro Nacional de Prevención Desastres, Mexico City, Mexico","active":true,"usgs":false}],"preferred":false,"id":938397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trujillo-Castrillón, Nancy","contributorId":355929,"corporation":false,"usgs":false,"family":"Trujillo-Castrillón","given":"Nancy","affiliations":[{"id":84866,"text":"3. Servicio Geologico Colombiano, Manizales, Colombia","active":true,"usgs":false}],"preferred":false,"id":938398,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valdés-González, Carlos M.","contributorId":355930,"corporation":false,"usgs":false,"family":"Valdés-González","given":"Carlos M.","affiliations":[{"id":84867,"text":"4. Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico City, Mexico","active":true,"usgs":false}],"preferred":false,"id":938399,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gómez-Vázquez, Ángel","contributorId":355931,"corporation":false,"usgs":false,"family":"Gómez-Vázquez","given":"Ángel","affiliations":[{"id":84863,"text":"2. Centro Nacional de Prevención Desastres, Mexico City, Mexico","active":true,"usgs":false}],"preferred":false,"id":938400,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Delgado-Granados, Hugo","contributorId":355932,"corporation":false,"usgs":false,"family":"Delgado-Granados","given":"Hugo","affiliations":[{"id":84868,"text":"3. Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico City, Mexico","active":true,"usgs":false}],"preferred":false,"id":938401,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arciniega-Ceballos, Alejandra","contributorId":355933,"corporation":false,"usgs":false,"family":"Arciniega-Ceballos","given":"Alejandra","affiliations":[{"id":84868,"text":"3. Instituto de Geofísica, Universidad Nacional Autónoma de México, Mexico City, Mexico","active":true,"usgs":false}],"preferred":false,"id":938402,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"White, Randall A. 0000-0001-9680-9493","orcid":"https://orcid.org/0000-0001-9680-9493","contributorId":355934,"corporation":false,"usgs":true,"family":"White","given":"Randall A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":938403,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70263806,"text":"70263806 - 2025 - Weather events influence survival and recruitment of Coereba flaveola (Bananaquit) in the Caribbean","interactions":[],"lastModifiedDate":"2025-02-25T16:28:52.11681","indexId":"70263806","displayToPublicDate":"2024-10-15T08:47:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Weather events influence survival and recruitment of <i>Coereba flaveola</i> (Bananaquit) in the Caribbean","title":"Weather events influence survival and recruitment of Coereba flaveola (Bananaquit) in the Caribbean","docAbstract":"<p><span>The West Indies is considered a biodiversity hotspot and a priority for ecological conservation efforts. Understanding how environmental conditions influence the survival of resident avifauna is an important information need given the predicted increases in drought and the frequency and intensity of severe storms in the region. Throughout much of the Caribbean,&nbsp;</span><i>Coereba flaveola</i><span>&nbsp;(Bananaquit) are widespread and abundant, traits that may facilitate understanding their response to environmental changes in the region. We used a 10-yr capture–mark–recapture data set to examine&nbsp;</span><i>C. flaveola</i><span>&nbsp;survival, recruitment, population growth, and age structure in the context of monthly and seasonal precipitation and temperatures, drought conditions, and occurrence and intensity of storm events. Our models suggested wing length, occurrence of storms, and drought all influenced survival. Both the incidence of storms and drier-than-average conditions in the preceding wet season (April–June) decreased survival. The sex of bird and net hours influenced capture probability, but weather influences on recruitment were equivocal. During nonstorm years, mean population growth was stable at 1.019 (95% confidence interval [CI]: 0.962, 1.098) but dropped to 0.843 (95% CI: 0.795, 0.846) in storm years. Increasing frequency of storms, such as back-to-back years, would likely push the growth rate lower. A protracted pattern of increased storm frequency, especially if coupled with a subsequent drought during the wet season, may lead to localized extirpations or strongly reduced populations.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukae052","usgsCitation":"Boal, C.W., and Bibles, B., 2025, Weather events influence survival and recruitment of Coereba flaveola (Bananaquit) in the Caribbean: Ornithology, v. 142, no. 1, ukae052, 10 p., https://doi.org/10.1093/ornithology/ukae052.","productDescription":"ukae052, 10 p.","ipdsId":"IP-161040","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukae052","text":"Publisher Index Page"},{"id":482455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Kingdom","otherGeospatial":"British Virgin Islands, Guana Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -64.57251334042952,\n              18.48346542262051\n            ],\n            [\n              -64.57922963213755,\n              18.48346542262051\n            ],\n            [\n              -64.57922963213755,\n              18.473199066754887\n            ],\n            [\n              -64.57251334042952,\n              18.473199066754887\n            ],\n            [\n              -64.57251334042952,\n              18.48346542262051\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"142","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":928355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bibles, Brent D.","contributorId":341439,"corporation":false,"usgs":false,"family":"Bibles","given":"Brent D.","affiliations":[{"id":81739,"text":"Unity College","active":true,"usgs":false}],"preferred":false,"id":928356,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70260875,"text":"70260875 - 2025 - EthoCRED: A framework to guide reporting and evaluation of the relevance and reliability of behavioural ecotoxicity studies","interactions":[],"lastModifiedDate":"2025-03-11T14:47:54.228944","indexId":"70260875","displayToPublicDate":"2024-10-12T10:16:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"EthoCRED: A framework to guide reporting and evaluation of the relevance and reliability of behavioural ecotoxicity studies","docAbstract":"<p><span>Behavioural analysis has been attracting significant attention as a broad indicator of sub-lethal toxicity and has secured a place as an important subdiscipline in ecotoxicology. Among the most notable characteristics of behavioural research, compared to other established approaches in sub-lethal ecotoxicology (e.g. reproductive and developmental bioassays), are the wide range of study designs being used and the diversity of endpoints considered. At the same time, environmental hazard and risk assessment, which underpins regulatory decisions to protect the environment from potentially harmful chemicals, often recommends that ecotoxicological data be produced following accepted and validated test guidelines. These guidelines typically do not address behavioural changes, meaning that these, often sensitive, effects are not represented in hazard and risk assessments. Here, we propose a new tool, the EthoCRED evaluation method, for assessing the relevance and reliability of behavioural ecotoxicity data, which considers the unique requirements and challenges encountered in this field. This method and accompanying reporting recommendations are designed to serve as an extension of the “Criteria for Reporting and Evaluating Ecotoxicity Data (CRED)” project. As such, EthoCRED can both accommodate the wide array of experimental design approaches seen in behavioural ecotoxicology, and could be readily implemented into regulatory frameworks as deemed appropriate by policy makers of different jurisdictions to allow better integration of knowledge gained from behavioural testing into environmental protection. Furthermore, through our reporting recommendations, we aim to improve the reporting of behavioural studies in the peer-reviewed literature, and thereby increase their usefulness to inform chemical regulation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/brv.13154","usgsCitation":"Bertram, M.G., Agerstrand, M., Thore, E.S., Allen, J., Balshine, S., Brand, J.A., Brooks, B.W., Dang, Z., Duquesne, S., Ford, A.T., Hoffmann, F., Hollert, H., Jacob, S., Kloas, W., Kluver, N., Lazorchak, J., Ledesma, M., Maack, G., Macartney, E.L., Martin, J.M., Melvin, S.D., Michelangeli, M., Mohr, S., Padilla, S., Pyle, G.G., Saaristo, M., Sahm, R., Smit, E., Steevens, J.A., van den Berg, S., Vossen, L.E., Wlodkowic, D., Wong, B.B., Ziegler, M., and Brodin, T., 2025, EthoCRED: A framework to guide reporting and evaluation of the relevance and reliability of behavioural ecotoxicity studies: Biological Reviews, v. 100, no. 2, p. 556-585, 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,{"id":70266211,"text":"70266211 - 2025 - Multiscale processes drive formation of logjam habitats and use by juvenile Chinook salmon across a boreal stream network in Alaska","interactions":[],"lastModifiedDate":"2025-04-30T16:26:30.317802","indexId":"70266211","displayToPublicDate":"2024-10-10T11:19:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale processes drive formation of logjam habitats and use by juvenile Chinook salmon across a boreal stream network in Alaska","docAbstract":"<p><span>Boreal forest streams are characterized by large volumes of instream wood, yet the relationship between logjams and Pacific salmon productivity remains underqualified. We located logjams (</span><i>n</i><span> = 427) within the distribution of Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>) in the Chena River, Alaska (Yukon River tributary) and measured dimensions, classified formative process, and snorkel-sampled a subset (</span><i>n</i><span> = 189) of logjams to detect and count juvenile salmon relative to multiscale variables and a dam. Logjam size increased downstream, whereas logjam density and large wood recruits declined (upstream = 6 logjams/km, 33 recruits/km; downstream = 0.3 logjams/km, 6 recruits/km), particularly below a dam that reduced downstream wood transport and log-trapping locations (i.e., bars). Juvenile salmon occupied 68% of logjams; mid-network logjams had the highest densities (mean = 0.85 fish/m</span><sup>2</sup><span>). We modeled juvenile salmon counts with logjam-, stream reach-, and neighborhood-scale (&gt; 1 km) predictors. Covariates that best predicted juvenile salmon densities included bankfull flow and stream power at reach scales in addition to growth potential, spawning habitat quality, and logjam area within 1 km of the focal logjam at neighborhood-scales. Multiscale perspectives that link landscape characteristics, wood dynamics, and instream modifications with juvenile salmon production will be important to facilitate conservation and management of boreal streams.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4387","usgsCitation":"Cathcart, C.N., Falke, J.A., Fox, J., Henszey, R., and Lininger, K., 2025, Multiscale processes drive formation of logjam habitats and use by juvenile Chinook salmon across a boreal stream network in Alaska: River Research and Applications, v. 41, no. 3, p. 593-608, https://doi.org/10.1002/rra.4387.","productDescription":"16 p.","startPage":"593","endPage":"608","ipdsId":"IP-152306","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487895,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4387","text":"Publisher Index Page"},{"id":485218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River watershed study area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -144.67807493315854,\n              65.20202904924713\n            ],\n            [\n              -148.24621186080563,\n              65.20202904924713\n            ],\n            [\n              -148.24621186080563,\n              64.49202325327195\n            ],\n            [\n              -144.67807493315854,\n              64.49202325327195\n            ],\n            [\n              -144.67807493315854,\n              65.20202904924713\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cathcart, Charles N.","contributorId":317814,"corporation":false,"usgs":false,"family":"Cathcart","given":"Charles","email":"","middleInitial":"N.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":934944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":934945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Jimmy","contributorId":354009,"corporation":false,"usgs":false,"family":"Fox","given":"Jimmy","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henszey, Robert","contributorId":354010,"corporation":false,"usgs":false,"family":"Henszey","given":"Robert","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lininger, Katherine","contributorId":354011,"corporation":false,"usgs":false,"family":"Lininger","given":"Katherine","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":934948,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269050,"text":"70269050 - 2025 - Geologic input databases for the 2025 Puerto Rico – U.S. Virgin Islands National Seismic Hazard Model update: Crustal faults component","interactions":[],"lastModifiedDate":"2025-07-15T16:57:40.01742","indexId":"70269050","displayToPublicDate":"2024-10-08T09:51:09","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":"Geologic input databases for the 2025 Puerto Rico – U.S. Virgin Islands National Seismic Hazard Model update: Crustal faults component","docAbstract":"<p><span>The last National Seismic Hazard Model (NSHM) for Puerto Rico and the U.S. Virgin Islands (PRVI) was published in 2003. In advance of the 2025 PRVI NSHM update, we created three geologic input databases to summarize new onshore and offshore fault source information in the northern Caribbean region between 62°–70° W and 16°–21° N. These databases, of fault sections, fault‐zone polygons, and geologic estimates of fault activity (fault‐slip rate and earthquake recurrence intervals) at specific sites, document updates to fault parameters used in prior seismic hazard models in PRVI. Fault sources were reviewed from published studies since 2003, which document substantial changes to the understanding of fault location, geometry, or activity. New fault section sources were added for features that meet the criteria of (1) length ≥7&nbsp;km, (2) unequivocal evidence of recurrent tectonic Quaternary activity, and (3) documentation that is publicly available in a peer‐reviewed source. In addition, we revised several broad areal sources, such as the Mona and Anegada extensional zones. The 2003 model included three fault sections and two fault‐zone polygons (areal sources). These databases include 35 fault sections, 6 fault‐zone polygons, and 51 earthquake geology sites. To characterize fault activity rates, slip‐rate bins were assigned based on landscape expression and paleoseismic trench observations for faults without published slip‐rate sites. Additional fault sources were evaluated but not included in these databases due to a lack of published information about fault location, geometry, or recurrent Quaternary activity. The PRVI NSHM 2025 geologic input databases describe crustal faulting; the geometries and coupling of Puerto Rico subduction zone and Muertos Trough models are considered in a separate database. Updates to the fault sections, fault‐zone polygons, and earthquake geology databases can help inform the location and recurrence rate of damaging earthquakes in the PRVI NSHM implementation.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220230222","usgsCitation":"Jobe, J.A., Briggs, R.W., ten Brink, U.S., Pratt, T.L., Hughes, K.S., Hatem, A.E., DuRoss, C., Reitman, N.G., Herrick, J.A., Nicovich, S.R., Collett, C., Scharer, K., and DeLong, S.B., 2025, Geologic input databases for the 2025 Puerto Rico – U.S. Virgin Islands National Seismic Hazard Model update: Crustal faults component: Seismological Research Letters, v. 96, no. 2A, p. 1018-1044, https://doi.org/10.1785/0220230222.","productDescription":"27 p.","startPage":"1018","endPage":"1044","ipdsId":"IP-155072","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":492285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.9352850199376,\n              20.634411122471107\n            ],\n            [\n              -73.9352850199376,\n              15.056848325224166\n            ],\n            [\n              -60.40254592426669,\n              15.056848325224166\n            ],\n            [\n              -60.40254592426669,\n              20.634411122471107\n            ],\n            [\n              -73.9352850199376,\n              20.634411122471107\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"96","issue":"2A","noUsgsAuthors":false,"publicationDate":"2024-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":943106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, K. Stephen","contributorId":218339,"corporation":false,"usgs":false,"family":"Hughes","given":"K.","email":"","middleInitial":"Stephen","affiliations":[{"id":16585,"text":"University of Puerto Rico - Mayaguez","active":true,"usgs":false}],"preferred":false,"id":943108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943109,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943110,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943111,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herrick, Julie A. 0000-0003-0682-760X","orcid":"https://orcid.org/0000-0003-0682-760X","contributorId":243649,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","middleInitial":"A.","affiliations":[],"preferred":true,"id":943112,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nicovich, Sylvia R. 0000-0003-4280-4034","orcid":"https://orcid.org/0000-0003-4280-4034","contributorId":341909,"corporation":false,"usgs":true,"family":"Nicovich","given":"Sylvia","email":"","middleInitial":"R.","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":943113,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Collett, Camille 0000-0003-4836-0243","orcid":"https://orcid.org/0000-0003-4836-0243","contributorId":310393,"corporation":false,"usgs":false,"family":"Collett","given":"Camille","affiliations":[{"id":67175,"text":"Formerly: U.S. Geological Survey, Geologic Hazards Science Center","active":true,"usgs":false}],"preferred":false,"id":943114,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943115,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943178,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70259490,"text":"70259490 - 2025 - Evaluation of an open earthquake early warning system in Mexico, and laboratory tests of their sensors","interactions":[],"lastModifiedDate":"2025-03-25T15:46:40.066916","indexId":"70259490","displayToPublicDate":"2024-10-03T06:54:11","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":"Evaluation of an open earthquake early warning system in Mexico, and laboratory tests of their sensors","docAbstract":"<div class=\"\"><div id=\"146807509\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Microelectromechanical system (MEMS) accelerometers are useful for seismological and engineering applications because of their ability to record unsaturated large seismic signals. Recent advances in MEMS technologies enable the design of instruments with improved capabilities that also allow the recording of small signals. As a result, MEMS can be useful across a broad dynamic range and for both major earthquakes and smaller magnitude events. Here, we analyze the performance of a MEMS‐based accelerometer with the capability of real‐time data transmission. We discuss the self‐noise level, dynamic range, and sensitivity, along with the timing precision and data transmission latency, and compare these parameters to other MEMS‐based instruments. We also summarize observations from a regional network deployed in southern Mexico over a period of 3+ yr for the purpose of earthquake early warning. In addition to the sensor evaluation, we present a large, openly available data set of strong motion data from the Mexican network that comprises continuous ground‐motion records from 24 accelerometers in the period between 2017 and 2022.</p></div></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220230272","usgsCitation":"Kuna, V., Ringler, A.T., and Melgar, D., 2025, Evaluation of an open earthquake early warning system in Mexico, and laboratory tests of their sensors: Seismological Research Letters, v. 96, no. 2A, p. 980-989, https://doi.org/10.1785/0220230272.","productDescription":"10 p.","startPage":"980","endPage":"989","ipdsId":"IP-163392","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":462781,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"2A","noUsgsAuthors":false,"publicationDate":"2024-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kuna, Vaclav","contributorId":345061,"corporation":false,"usgs":false,"family":"Kuna","given":"Vaclav","email":"","affiliations":[{"id":82475,"text":"The Institute of Geophysics of the Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":915486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":915487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":915488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70259444,"text":"70259444 - 2025 - Implementation of controlled floods for sediment management on the Colorado River in Grand Canyon under aridification","interactions":[],"lastModifiedDate":"2025-02-24T16:48:14.318411","indexId":"70259444","displayToPublicDate":"2024-10-02T06:46:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Implementation of controlled floods for sediment management on the Colorado River in Grand Canyon under aridification","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>In addition to supplying water for agriculture, cities, and industry, the Colorado River traverses the Colorado Plateau, including several of the most unique and valued National Parks and Recreation Areas in the United States. Although the water needs of these landscapes were not considered at the time water allocations were first negotiated, these needs were recognized in subsequent legislation and policy. Management goals address a range of aquatic and riparian resources, including fine sediment (sand, silt, and clay) which, in Grand Canyon, is important for ecological, cultural, and recreational resources. Over ~30 years, stakeholders, resource managers, and scientists collectively developed operational strategies for sediment management to meet goals outlined by an adaptive management program. However, prolonged drought, or “aridification,” resulting in declining runoff and the lowest reservoir storage elevations in decades has challenged those strategies. The paradigm for sustainable sediment management relies on (1) sand accumulation on the bed of the Colorado River during periods of sediment-rich tributary floods from summer/fall thunderstorms, and (2) dam-released controlled (artificial) floods, referred to as High-Flow Experiments (HFEs), to redistribute the accumulated sand to rebuild eroded bar and floodplain deposits. The management protocol, which specifies narrowly defined sand accumulation periods and HFE implementation windows, is based on implementing HFEs in late fall during the period of greatest sediment enrichment, before higher winter releases for hydropower erode the accumulated sand from the riverbed. Low dam releases associated with drought, however, have changed the pattern of sand accumulation and low reservoir elevations have prevented HFE implementation in the defined window. An alternative strategy for HFE planning and implementation was tested opportunistically in April 2023 following lower-than-normal winter dam releases. We present findings from this HFE indicating that sand enrichment and sandbar building equaled or exceeded that of HFEs conducted under the established management protocol. These findings show that management goals for sediment under conditions of prolonged drought may be achievable but will likely require substantial changes in dam management strategies.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4374","usgsCitation":"Grams, P.E., Topping, D.J., Salter, G.L., Chapman, K.A., Tusso, R.B., and Mueller, E., 2025, Implementation of controlled floods for sediment management on the Colorado River in Grand Canyon under aridification: River Research and Applications, v. 41, no. 2, p. 334-348, https://doi.org/10.1002/rra.4374.","productDescription":"15 p.","startPage":"334","endPage":"348","ipdsId":"IP-163271","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462680,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466884,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4374","text":"Publisher Index Page"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.6737282778233,\n              35.126856331571815\n            ],\n            [\n              -111.42177515282343,\n              35.126856331571815\n            ],\n            [\n              -111.42177515282343,\n              37.18459338283438\n            ],\n            [\n              -114.6737282778233,\n              37.18459338283438\n            ],\n            [\n              -114.6737282778233,\n              35.126856331571815\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":215068,"corporation":false,"usgs":true,"family":"Topping","given":"David","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salter, Gerard Lewis 0000-0001-6426-0133","orcid":"https://orcid.org/0000-0001-6426-0133","contributorId":333645,"corporation":false,"usgs":true,"family":"Salter","given":"Gerard","email":"","middleInitial":"Lewis","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapman, Katherine Anne 0009-0009-1806-6474 kchapman@usgs.gov","orcid":"https://orcid.org/0009-0009-1806-6474","contributorId":345014,"corporation":false,"usgs":true,"family":"Chapman","given":"Katherine","email":"kchapman@usgs.gov","middleInitial":"Anne","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915274,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tusso, Robert B. 0000-0001-7541-3713 rtusso@usgs.gov","orcid":"https://orcid.org/0000-0001-7541-3713","contributorId":4079,"corporation":false,"usgs":true,"family":"Tusso","given":"Robert","email":"rtusso@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":915275,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mueller, Erich R. 0000-0001-8202-154X","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":207750,"corporation":false,"usgs":false,"family":"Mueller","given":"Erich R.","affiliations":[{"id":37626,"text":"Department of Geography, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":915276,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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