Infectious hematopoietic necrosis (IHN) is a disease of salmonid fish that is caused by the IHN virus (IHNV), which can cause substantial mortality and economic losses in rainbow trout aquaculture and fisheries enhancement hatchery programs. In a previous study on a commercial rainbow trout breeding line that has undergone selection, we found that genetic resistance to IHNV is controlled by the oligogenic inheritance of several moderate and many small effect quantitative trait loci (QTL). Here we used genome wide association analyses in two different commercial aquaculture lines that were naïve to previous exposure to IHNV to determine whether QTL were shared across lines, and to investigate whether there were major effect loci that were still segregating in the naïve lines. A total of 1,859 and 1,768 offspring from two commercial aquaculture strains were phenotyped for resistance to IHNV and genotyped with the rainbow trout Axiom 57K SNP array. Moderate heritability values (0.15–0.25) were estimated. Two statistical methods were used for genome wide association analyses in the two populations. No major QTL were detected despite the naïve status of the two lines. Further, our analyses confirmed an oligogenic architecture for genetic resistance to IHNV in rainbow trout. Overall, 17 QTL with notable effect (≥1.9% of the additive genetic variance) were detected in at least one of the two rainbow trout lines with at least one of the two statistical methods. Five of those QTL were mapped to overlapping or adjacent chromosomal regions in both lines, suggesting that some loci may be shared across commercial lines. Although some of the loci detected in this GWAS merit further investigation to better understand the biological basis of IHNV disease resistance across populations, the overall genetic architecture of IHNV resistance in the two rainbow trout lines suggests that genomic selection may be a more effective strategy for genetic improvement in this trait.
To improve flood-frequency estimates for rural streams in the Coastal Plain region of Louisiana, generalized least-squares regression techniques were used to relate corresponding annual exceedance probability streamflows for 211 streamgages in the region to a suite of explanatory variables that include physical, climatic, pedologic, and land-use characteristics of the streamgage drainage area. The resulting generalized least-squares models can be used to estimate selected annual exceedance probability streamflows for rural ungaged locations in the Coastal Plain region of Louisiana. For the 211 streamgages in the Coastal Plain region of Louisiana and surrounding States, annual peak-streamflow data available through the 2016 water year were used in this study. Two unique flood regions, the Mississippi Alluvial Plain and Coastal Plain, were identified as separate hydrologic regions based on statistical evaluation and significance of categorical variables representing the regions regressed against the 1-percent annual exceedance probability streamflow (the 100-year flood). Regional regression equations for estimating annual exceedance probability streamflow for the Mississippi Alluvial Plain region have been previously published; therefore, the purpose of this study was to generate updated regional regression equations for the Coastal Plain region of Louisiana. The final regression models used drainage area and channel slope as explanatory variables based on performance metrics.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245031","issn":"2328-0328","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Ensminger, P.A., Wagner, D.M., and Whaling, A., 2024, Magnitude and frequency of floods in the Coastal Plain region of Louisiana, 2016: U.S. Geological Survey Scientific Investigations Report 2024–5031, 18 p., https://doi.org/10.3133/sir20245031.","productDescription":"Report: viii, 18 p.; 2 Data Releases","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-091992","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":428761,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5031/coverthb.jpg"},{"id":428762,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5031/images"},{"id":428766,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database"},{"id":499458,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117008.htm","linkFileType":{"id":5,"text":"html"}},{"id":428767,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B48P2W","text":"USGS data release","linkHelpText":"Flood-frequency of rural, non-tidal streams in Louisiana and part of Arkansas, Mississippi, and Texas, 1877–2016"},{"id":428765,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245031/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5031 HTML"},{"id":428764,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5031/sir20245031.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5031 XML"},{"id":428763,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5031/sir20245031.pdf","size":"2.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5031"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.00967112876856,\n 29.444945586186265\n ],\n [\n -88.68056894510033,\n 29.126157783971323\n ],\n [\n -88.60834825216723,\n 33.49872733992268\n ],\n [\n -89.99512218551115,\n 34.151214622331636\n ],\n [\n -90.94796783046621,\n 34.514518506267706\n ],\n [\n -93.48068301952253,\n 34.58384293733218\n ],\n [\n -94.52066293605651,\n 33.519758483995176\n ],\n [\n -94.62647823892294,\n 29.923162538843826\n ],\n [\n -94.00967112876856,\n 29.444945586186265\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Natural ecosystems store large amounts of carbon globally, as organisms absorb carbon from the atmosphere to build large, long-lasting, or slow-decaying structures such as tree bark or root systems. An ecosystem’s carbon sequestration potential is tightly linked to its biological diversity. Yet when considering future projections, many carbon sequestration models fail to account for the role biodiversity plays in carbon storage. Here, we assess the consequences of plant biodiversity loss for carbon storage under multiple climate and land-use change scenarios. We link a macroecological model projecting changes in vascular plant richness under different scenarios with empirical data on relationships between biodiversity and biomass. We find that biodiversity declines from climate and land use change could lead to a global loss of between 7.44-103.14 PgC (global sustainability scenario) and 10.87-145.95 PgC (fossil-fueled development scenario). This indicates a self-reinforcing feedback loop, where higher levels of climate change lead to greater biodiversity loss, which in turn leads to greater carbon emissions and ultimately more climate change. Conversely, biodiversity conservation and restoration can help achieve climate change mitigation goals.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-024-47872-7","usgsCitation":"Weiskopf, S.R., Isbell, F., Arce-Plata, M.I., Di Marco, M., Harfoot, M., Johnson, J., Lerman, S.B., Miller, B.W., Morelli, T.L., Mori, A.S., Weng, E., and Ferrier, S., 2024, Biodiversity loss reduces global terrestrial carbon storage: Nature Communications, v. 15, 4354, 12 p., https://doi.org/10.1038/s41467-024-47872-7.","productDescription":"4354, 12 p.","ipdsId":"IP-152335","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":439525,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-024-47872-7","text":"Publisher Index Page"},{"id":434954,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13WUFMU","text":"USGS data release","linkHelpText":"Model outputs highlighting how biodiversity loss reduces global terrestrial carbon storage based on climate and land-use changes projected for 2050"},{"id":429349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2024-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":901599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isbell, Forest","contributorId":271280,"corporation":false,"usgs":false,"family":"Isbell","given":"Forest","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":901600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arce-Plata, Maria Isabel","contributorId":271276,"corporation":false,"usgs":false,"family":"Arce-Plata","given":"Maria","email":"","middleInitial":"Isabel","affiliations":[{"id":54487,"text":"University of Montreal","active":true,"usgs":false}],"preferred":false,"id":901601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Di Marco, Moreno","contributorId":336960,"corporation":false,"usgs":false,"family":"Di Marco","given":"Moreno","email":"","affiliations":[{"id":35391,"text":"Sapienza University of Rome","active":true,"usgs":false}],"preferred":false,"id":901602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harfoot, Mike","contributorId":271279,"corporation":false,"usgs":false,"family":"Harfoot","given":"Mike","email":"","affiliations":[{"id":56332,"text":"UNEP WCMC","active":true,"usgs":false}],"preferred":false,"id":901603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Justin A.","contributorId":211868,"corporation":false,"usgs":false,"family":"Johnson","given":"Justin A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":901604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lerman, Susannah B.","contributorId":171615,"corporation":false,"usgs":false,"family":"Lerman","given":"Susannah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":901605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":901606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":901607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mori, Akira S.","contributorId":271281,"corporation":false,"usgs":false,"family":"Mori","given":"Akira","email":"","middleInitial":"S.","affiliations":[{"id":49222,"text":"Yokohama National University","active":true,"usgs":false}],"preferred":false,"id":901608,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weng, Ensheng 0000-0002-1858-4847","orcid":"https://orcid.org/0000-0002-1858-4847","contributorId":267936,"corporation":false,"usgs":false,"family":"Weng","given":"Ensheng","email":"","affiliations":[{"id":49221,"text":"NASA Goddard Institute for Space Studies","active":true,"usgs":false}],"preferred":false,"id":901609,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ferrier, Simon 0000-0001-7884-2388","orcid":"https://orcid.org/0000-0001-7884-2388","contributorId":245542,"corporation":false,"usgs":false,"family":"Ferrier","given":"Simon","email":"","affiliations":[{"id":49219,"text":"Commonwealth Scientific and Industrial Research Organisation","active":true,"usgs":false}],"preferred":false,"id":901610,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70254632,"text":"70254632 - 2024 - The SCEC/USGS community stress drop validation study using the 2019 Ridgecrest earthquake sequence","interactions":[],"lastModifiedDate":"2024-06-06T14:45:23.008816","indexId":"70254632","displayToPublicDate":"2024-05-22T09:41:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"The SCEC/USGS community stress drop validation study using the 2019 Ridgecrest earthquake sequence","docAbstract":"We introduce a community stress drop validation study using the 2019 Ridgecrest, California, earthquake sequence, in which researchers are invited to use a common dataset to independently estimate comparable measurements using a variety of methods. Stress drop is the change in average shear stress on a fault during earthquake rupture, and as such is a key parameter in many ground motion, rupture simulation, and source physics problems in earthquake science. Spectral stress drop is commonly estimated by fitting the shape of the radiated energy spectrum, yet estimates for an individual earthquake made by different studies can vary hugely. In this community study, sponsored jointly by the U. S. Geological Survey and Southern/Statewide California Earthquake Center, we seek to understand the sources of variability and uncertainty in earthquake stress drop through quantitative comparison of submitted stress drops. The publicly available dataset consists of nearly 13,000 earthquakes of M1 to 7 from two weeks of the 2019 Ridgecrest sequence recorded on stations within 1-degree. As a community study, findings are shared through workshops and meetings and all are invited to join at any time, at any interest level.
","language":"English","publisher":"McGill Library","doi":"10.26443/seismica.v3i1.1009","usgsCitation":"Baltay Sundstrom, A.S., Abercrombie, R., Chu, S.X., and Taira, T., 2024, The SCEC/USGS community stress drop validation study using the 2019 Ridgecrest earthquake sequence: Seismica, v. 3, no. 1, 1009, 12 p., https://doi.org/10.26443/seismica.v3i1.1009.","productDescription":"1009, 12 p.","ipdsId":"IP-154164","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":439528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v3i1.1009","text":"Publisher Index Page"},{"id":429572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":902126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":902127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chu, Shanna Xianhui 0000-0001-5974-183X","orcid":"https://orcid.org/0000-0001-5974-183X","contributorId":337161,"corporation":false,"usgs":true,"family":"Chu","given":"Shanna","email":"","middleInitial":"Xianhui","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":902128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taira, Taka’aki 0000-0002-6170-797X","orcid":"https://orcid.org/0000-0002-6170-797X","contributorId":222985,"corporation":false,"usgs":false,"family":"Taira","given":"Taka’aki","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":902129,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256134,"text":"70256134 - 2024 - Illegal shooting of protected nongame birds along power lines coincides with places and times of peak legal recreational shooting","interactions":[],"lastModifiedDate":"2024-07-23T20:20:38.219851","indexId":"70256134","displayToPublicDate":"2024-05-22T09:01:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Illegal shooting of protected nongame birds along power lines coincides with places and times of peak legal recreational shooting","docAbstract":"Illegal killing of protected nongame birds is pervasive and can be demographically relevant. \nIn 2021 and 2022, we evaluated spatial and temporal patterns in illegal killing of birds along \n69.7 km of power lines in the Morley Nelson Snake River Birds of Prey National \nConservation Area in Idaho, USA, to provide insight into potential drivers behind the activity \nand key information to manage this threat across the American west. The illegal shooting of 8 \nspecies of raptors and corvids we documented was clumped both temporally and spatially, as \nopposed to being randomly distributed across the year and landscape. We found 72 illegally \nshot birds, most killed during spring months (March to May), coincident with peak time \nperiods of legal recreational shooting activity, and in places with high levels of recreational \nshooting. We also found evidence of targeted killing of raptors in the conservation area in \nareas not associated with recreational shooting. Given the numbers of nesting pairs of some \nlocal raptor species, this shooting is likely demographically relevant for some but not all local \npopulations. Likewise, with the prevalence of recreational shooting across the American \nwest, the inference we draw is broadly relevant beyond our Idaho study area. The insight our \nwork provides can enable owners of power lines, law enforcement agencies, and resource \nmanagers to coordinate in outreach, regulatory, and law enforcement action to manage a \nthreat that may have widespread impacts for some avian species.","language":"English","publisher":"Oxford University Press","doi":"10.1093/ornithapp/duae020","usgsCitation":"Thomason, E.C., Belthoff, J.R., Poessel, S.A., and Katzner, T., 2024, Illegal shooting of protected nongame birds along power lines coincides with places and times of peak legal recreational shooting: Ornithological Applications, v. 126, duae020, 10 p., https://doi.org/10.1093/ornithapp/duae020.","productDescription":"duae020, 10 p.","ipdsId":"IP-151545","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439531,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duae020","text":"Publisher Index Page"},{"id":431353,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Morley Nelson Snake River Birds of Prey National Conservation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.53411095454679,\n 43.487453198340944\n ],\n [\n -116.53411095454679,\n 42.82241710733882\n ],\n [\n -115.67122065178367,\n 42.82241710733882\n ],\n [\n -115.67122065178367,\n 43.487453198340944\n ],\n [\n -116.53411095454679,\n 43.487453198340944\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"126","noUsgsAuthors":false,"publicationDate":"2024-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomason, Eve C. 0000-0002-9141-9397","orcid":"https://orcid.org/0000-0002-9141-9397","contributorId":245270,"corporation":false,"usgs":false,"family":"Thomason","given":"Eve","email":"","middleInitial":"C.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":906844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belthoff, James R. 0000-0002-6051-2353","orcid":"https://orcid.org/0000-0002-6051-2353","contributorId":190592,"corporation":false,"usgs":false,"family":"Belthoff","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":906845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":906846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":906847,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254534,"text":"70254534 - 2024 - Earthquake relocations delineate discrete a fault network and deformation corridor throughout Southeast Alaska and Southwest Yukon","interactions":[],"lastModifiedDate":"2024-05-31T13:46:56.683395","indexId":"70254534","displayToPublicDate":"2024-05-22T08:41:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake relocations delineate discrete a fault network and deformation corridor throughout Southeast Alaska and Southwest Yukon","docAbstract":"Deformation in southeastern Alaska and southwest Yukon is governed by the subduction and translation of the Pacific-Yakutat plates relative to the North American plate in the St. Elias region. Despite notable historical seismicity and major regional faults, studies of the region between the Fairweather and Denali faults are complicated by glacial coverage and the remote setting. In the last decade, significant improvements have been made to the density of regional broadband seismometer networks. We relocate more than 5,000 earthquakes between 2010 and 2021 in the region of southeastern Alaska and southwestern Yukon utilizing these improved seismic networks. With reductions in catalog uncertainty, particularly in depth, we quantify the thickness of the seismogenic layer in the crust throughout the region and locate seismicity on a shallow network of upper-crustal faults. Relocated earthquakes, combined with an updated focal-mechanism catalog, permit estimating and classifying motion of active faults. This includes mapping the Totschunda-Fairweather “Connector” fault, which plays an important role in explaining regional deformation, and identifying new faults like the Kathleen Lake fault. We draw similarities between our seismic observations and simplified conceptual models of regional tectonics, which describe a dominant transpressional regime and localized slip partitioning. Our results support a hypothesis where current deformation is taking place on a well-defined and evolved network of shallow faults in the corridor between the Totschunda-Fairweather “Connector” and Denali faults.
","language":"English","publisher":"Americvan Geophysical Union","doi":"10.1029/2023TC008140","usgsCitation":"Biegel, K., Gosselin, J.M., Dettmer, J., Colpron, M., Enkelmann, E., and Caine, J., 2024, Earthquake relocations delineate discrete a fault network and deformation corridor throughout Southeast Alaska and Southwest Yukon: Tectonics, v. 43, no. 5, e2023TC008140, 15 p., https://doi.org/10.1029/2023TC008140.","productDescription":"e2023TC008140, 15 p.","ipdsId":"IP-158563","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":439534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023tc008140","text":"Publisher Index Page"},{"id":429399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -152,\n 66\n ],\n [\n -152,\n 58\n ],\n [\n -132,\n 58\n ],\n [\n -132,\n 66\n ],\n [\n -152,\n 66\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Biegel, Katherine M. 0000-0001-8682-6169","orcid":"https://orcid.org/0000-0001-8682-6169","contributorId":337015,"corporation":false,"usgs":false,"family":"Biegel","given":"Katherine M.","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":901766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gosselin, Jeremy M. 0000-0002-0375-4102","orcid":"https://orcid.org/0000-0002-0375-4102","contributorId":337016,"corporation":false,"usgs":false,"family":"Gosselin","given":"Jeremy","email":"","middleInitial":"M.","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":901767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dettmer, Jan 0000-0001-8906-8156","orcid":"https://orcid.org/0000-0001-8906-8156","contributorId":337017,"corporation":false,"usgs":false,"family":"Dettmer","given":"Jan","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":901768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colpron, Maurice","contributorId":221363,"corporation":false,"usgs":false,"family":"Colpron","given":"Maurice","email":"","affiliations":[],"preferred":false,"id":901769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enkelmann, Eva","contributorId":240604,"corporation":false,"usgs":false,"family":"Enkelmann","given":"Eva","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":901770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":901771,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70255715,"text":"70255715 - 2024 - Discovery and genomic characterization of a novel hepadnavirus from asymptomatic anadromous alewife (Alosa pseudoharengus)","interactions":[],"lastModifiedDate":"2024-07-02T12:29:02.821223","indexId":"70255715","displayToPublicDate":"2024-05-22T07:27:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Discovery and genomic characterization of a novel hepadnavirus from asymptomatic anadromous alewife (Alosa pseudoharengus)","docAbstract":"In multiple observed caldera-forming eruptions, the rock overlying a draining magma reservoir dropped downward along ring faults in sequences of discrete collapse earthquakes. These sequences are analogous to tectonic earthquake cycles and provide opportunities to examine fault mechanics and collapse eruption dynamics over multiple events. Collapse earthquake cycles have been studied with zero-dimensional slider-block models, but these do not account for the complicated interplay between fluid and elastic dynamics or for factors such as the heterogeneous fault properties and non-vertical ring fault geometries often inferred at volcanoes. We present two-dimensional axisymmetric mafic piston-like collapse earthquake cycle models that include rate-and-state friction, fully-dynamic elasticity, and compressible viscous fluid magma flow. We demonstrate that collapse earthquake intervals and magnitudes are highly sensitive to inertial effects, evolving stress fields, fault geometry, and depth-varying fault friction. Given the consistent earthquake cycles observed in most eruptions, this suggests that ring faults can quickly stabilize and often become nearly vertical at depth. We use the well-monitored 2018 collapse sequence at Kı̄lauea as a case study. Our model can produce many features of Kı̄lauea seismic and geodetic observations, except for a significant amount of interseismic slip, which cannot be readily explained with simple rate-and-state friction parameterizations.
Global water systems are facing unprecedented pressures, including climate change-driven drought and escalating flood risk, environmental contamination, and over allocation. Water management and governance typically lack integration across spatial scales, including relationships between surface and ground water systems. They also routinely ignore connectivity across temporal scales, including the need for intergenerational water planning. As a global and interdisciplinary group of scientists, we seek to highlight how power and scale dynamics influence and determine water outcomes. We argue that attending to complex water systems challenges requires understanding the function and influence of power at different temporal and spatial scales. Building this understanding is key to designing multi-scalar, reflexive, and pluralistic policy solutions that avoid ineffective or unintended outcomes. We use a co-learning process to reveal important lessons for the challenge of interdisciplinary research and set a pluralist agenda for understanding power and scale in future water governance.
","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1734","usgsCitation":"Macpherson, E., Cuppari, R.I., Kagawa-Viviani, A., Brause, H., Brewer, W.A., Grant, W.E., Herman-Mercer, N.M., Livneh, B., Neupane, K.R., Petach, T.N., Peters, C.N., Wang, H., Pahl-Wostl, C., and Wheater, H., 2024, Setting a pluralist agenda for water governance: Why power and scale matter: WIREs Water, v. 11, no. 5, e1734, 15 p., https://doi.org/10.1002/wat2.1734.","productDescription":"e1734, 15 p.","ipdsId":"IP-155130","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":439541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1734","text":"Publisher Index Page"},{"id":433723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Macpherson, Elizabeth 0000-0003-1021-9930","orcid":"https://orcid.org/0000-0003-1021-9930","contributorId":344139,"corporation":false,"usgs":false,"family":"Macpherson","given":"Elizabeth","email":"","affiliations":[{"id":82302,"text":"University of Canterbury, Australia","active":true,"usgs":false}],"preferred":false,"id":912946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cuppari, Rosa I. 0000-0003-3530-3100","orcid":"https://orcid.org/0000-0003-3530-3100","contributorId":344140,"corporation":false,"usgs":false,"family":"Cuppari","given":"Rosa","email":"","middleInitial":"I.","affiliations":[{"id":16637,"text":"University of North Carolina, Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":912947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kagawa-Viviani, Aurora","contributorId":220317,"corporation":false,"usgs":false,"family":"Kagawa-Viviani","given":"Aurora","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":912948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brause, Holly 0000-0001-8187-0144","orcid":"https://orcid.org/0000-0001-8187-0144","contributorId":344141,"corporation":false,"usgs":false,"family":"Brause","given":"Holly","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":912949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brewer, William A.","contributorId":344142,"corporation":false,"usgs":false,"family":"Brewer","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":912950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grant, William E","contributorId":344143,"corporation":false,"usgs":false,"family":"Grant","given":"William","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":912951,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":438,"text":"National Research Program - 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2024 - Human-induced range expansions result in a recent hybrid zone between sister species of ducks","interactions":[],"lastModifiedDate":"2024-12-03T15:53:22.638174","indexId":"70261237","displayToPublicDate":"2024-05-21T09:45:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19845,"text":"Genes","active":true,"publicationSubtype":{"id":10}},"title":"Human-induced range expansions result in a recent hybrid zone between sister species of ducks","docAbstract":"Landscapes are consistently under pressure from human-induced ecological change, often resulting in shifting species distributions. For some species, changing the geographical breadth of their niche space results in matching range shifts to regions other than those in which they are formally found. In this study, we employ a population genomics approach to assess potential conservation issues arising from purported range expansions into the south Texas Brush Country of two sister species of ducks: mottled (Anas fulvigula) and Mexican (Anas diazi) ducks. Specifically, despite being non-migratory, both species are increasingly being recorded outside their formal ranges, with the northeastward and westward expansions of Mexican and mottled ducks, respectively, perhaps resulting in secondary contact today. We assessed genetic ancestry using thousands of autosomal loci across the ranges of both species, as well as sampled Mexican- and mottled-like ducks from across overlapping regions of south Texas. First, we confirm that both species are indeed expanding their ranges, with genetically pure Western Gulf Coast mottled ducks confirmed as far west as La Salle county, Texas, while Mexican ducks recorded across Texas counties near the USA–Mexico border. Importantly, the first confirmed Mexican × mottled duck hybrids were found in between these regions, which likely represents a recently established contact zone that is, on average, ~100 km wide. We posit that climate- and land use-associated changes, including coastal habitat degradation coupled with increases in artificial habitats in the interior regions of Texas, are facilitating these range expansions. Consequently, continued monitoring of this recent contact event can serve to understand species’ responses in the Anthropocene, but it can also be used to revise operational survey areas for mottled ducks.
","language":"English","publisher":"MDPI","doi":"10.3390/genes15060651","usgsCitation":"Lavretsky, P., Kraai, K.J., Butler, D., Morel, J., VonBank, J.A., Marty, J., Musni, V., and Collins, D.P., 2024, Human-induced range expansions result in a recent hybrid zone between sister species of ducks: Genes, v. 15, no. 6, 651, 14 p., https://doi.org/10.3390/genes15060651.","productDescription":"651, 14 p.","ipdsId":"IP-165217","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/genes15060651","text":"Publisher Index Page"},{"id":464702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.51801409968338,\n 18.105055938989082\n ],\n [\n -98.23606276845551,\n 20.94682562807757\n ],\n [\n -98.99482250457537,\n 25.413556548372497\n ],\n [\n -108.33542913416464,\n 32.31430457829886\n ],\n [\n -111.30962819176408,\n 31.344467563434847\n ],\n [\n -110.82294325795338,\n 27.959293954216704\n ],\n [\n -105.20005232741126,\n 23.469705815107915\n ],\n [\n -102.261941302797,\n 19.967599758419176\n ],\n [\n -99.26175108623583,\n 18.635300283765147\n ],\n [\n -96.51801409968338,\n 18.105055938989082\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.05408997359565,\n 19.5722333158932\n ],\n [\n -96.74496110814287,\n 23.611052999962567\n ],\n [\n -96.13442852219013,\n 27.53152192312328\n ],\n [\n -89.70091259998338,\n 28.332959017073236\n ],\n [\n -88.31589391965052,\n 28.99890150920689\n ],\n [\n -90.0751788983542,\n 30.352615199997118\n ],\n [\n -96.28510028867241,\n 29.51731654141355\n ],\n [\n -97.90507342752646,\n 27.012640404773265\n ],\n [\n -98.02396450268334,\n 21.89756844574356\n ],\n [\n -96.05408997359565,\n 19.5722333158932\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lavretsky, Philip","contributorId":60542,"corporation":false,"usgs":true,"family":"Lavretsky","given":"Philip","email":"","affiliations":[],"preferred":false,"id":920036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraai, Kevin J.","contributorId":346855,"corporation":false,"usgs":false,"family":"Kraai","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":920037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butler, David","contributorId":346859,"corporation":false,"usgs":false,"family":"Butler","given":"David","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":920038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morel, James","contributorId":346860,"corporation":false,"usgs":false,"family":"Morel","given":"James","email":"","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":920039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"VonBank, Jay Alan 0000-0002-4319-4998","orcid":"https://orcid.org/0000-0002-4319-4998","contributorId":305827,"corporation":false,"usgs":true,"family":"VonBank","given":"Jay","email":"","middleInitial":"Alan","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":920040,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marty, Joseph","contributorId":346861,"corporation":false,"usgs":false,"family":"Marty","given":"Joseph","email":"","affiliations":[{"id":83000,"text":"U.S. Fish and Wildlife Service, Southwest Region - 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Resources","active":true,"usgs":false}],"preferred":false,"id":901675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woods, Taylor 0000-0002-6277-1260","orcid":"https://orcid.org/0000-0002-6277-1260","contributorId":304097,"corporation":false,"usgs":true,"family":"Woods","given":"Taylor","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":901677,"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":901678,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269881,"text":"70269881 - 2024 - Quantifying intraspecific variation in host resistance ad tolerance to a lethal pathogen","interactions":[],"lastModifiedDate":"2025-08-05T14:16:09.86975","indexId":"70269881","displayToPublicDate":"2024-05-21T09:10:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying intraspecific variation in host resistance ad tolerance to a lethal pathogen","docAbstract":"Global climate change has altered the timing of seasonal events (i.e., phenology) for a diverse range of biota. Within and among species, however, the degree to which alterations in phenology match climate variability differ substantially. To better understand factors driving these differences, we evaluated variation in timing of nesting of eight Arctic-breeding shorebird species at 18 sites over a 23-year period. We used the Normalized Difference Vegetation Index as a proxy to determine the start of spring (SOS) growing season and quantified relationships between SOS and nest initiation dates as a measure of phenological responsiveness. Among species, we tested four life history traits (migration distance, seasonal timing of breeding, female body mass, expected female reproductive effort) as species-level predictors of responsiveness. For one species (Semipalmated Sandpiper), we also evaluated whether responsiveness varied across sites. Although no species in our study completely tracked annual variation in SOS, phenological responses were strongest for Western Sandpipers, Pectoral Sandpipers, and Red Phalaropes. Migration distance was the strongest additional predictor of responsiveness, with longer-distance migrant species generally tracking variation in SOS more closely than species that migrate shorter distances. Semipalmated Sandpipers are a widely distributed species, but adjustments in timing of nesting relative to variability in SOS did not vary across sites, suggesting that different breeding populations of this species were equally responsive to climate cues despite differing migration strategies. Our results unexpectedly show that long-distance migrants are more sensitive to local environmental conditions, which may help them to adapt to ongoing changes in climate.
Recent surface ship multibeam surveys of the Sur Pockmark Field, offshore Central California, reveal >5,000 pockmarks in an area that is slated to host a wind farm, between 500- and 1,500-m water depth. Extensive fieldwork was conducted to characterize the seafloor environment and its recent geologic history, including visual observations with remotely operated vehicles, sediment core sampling, and high-resolution, near-bottom Chirp and multibeam surveys collected with autonomous underwater vehicles to capture the morphology and stratigraphy of the pockmarks. No evidence of high methane concentrations in sediments, chemosynthetic biological communities, or methane-derived diagenetic byproducts was found. Chirp data and sediment cores showed alternating layers of slowly accumulating hemipelagic drapes interrupted by more reflective turbidite horizons that extend throughout the pockmark field and beyond. Chirp data showed multiple episodes of lateral migration over time in some of the pockmarks in association with erosion and infilling events. Laterally continuous turbidite horizons that overlay erosional surfaces indicated that pockmark migration occurred synchronously in multiple pockmarks separated by tens of kilometers. These shifts are presumed to be the result of asymmetrical erosion of the pockmark flanks caused by passing sediment gravity flows. While some pockmarks occur in chains, most are not clustered or randomly spaced but are regularly dispersed within the pockmark field. We hypothesize that intermittent, unconfined sediment gravity flows occurring over at least the last 280,000 years are the source of the regionally continuous turbidite deposits and the mechanism that maintained the regularly dispersed pockmarks.
Integrating host movement and pathogen data is a central issue in wildlife disease ecology that will allow for a better understanding of disease transmission. We examined how adult female mule deer (Odocoileus hemionus) responded behaviorally to infection with chronic wasting disease (CWD). We compared movement and habitat use of CWD-infected deer (n = 18) to those that succumbed to starvation (and were CWD-negative by ELISA and IHC; n = 8) and others in which CWD was not detected (n = 111, including animals that survived the duration of the study) using GPS collar data from two distinct populations collared in central Wyoming, USA during 2018–2022. CWD and predation were the leading causes of mortality during our study (32/91 deaths attributed to CWD and 27/91 deaths attributed to predation). Deer infected with CWD moved slower and used lower elevation areas closer to rivers in the months preceding death compared with uninfected deer that did not succumb to starvation. Although CWD-infected deer and those that died of starvation moved at similar speeds during the final months of life, CWD-infected deer used areas closer to streams with less herbaceous biomass than starved deer. These behavioral differences may allow for the development of predictive models of disease status from movement data, which will be useful to supplement field and laboratory diagnostics or when mortalities cannot be quickly retrieved to assess cause-specific mortality. Furthermore, identifying individuals who are sick before predation events could help to assess the extent to which disease mortality is compensatory with predation. Finally, infected animals began to slow down around 4 months prior to death from CWD. Our approach for detecting the timing of infection-induced shifts in movement behavior may be useful in application to other disease systems to better understand the response of wildlife to infectious disease.
Minimally invasive samples are often the best option for collecting genetic material from species of conservation concern, but they perform poorly in many genomic sequencing methods due to their tendency to yield low DNA quality and quantity. Genotyping-in-thousands by sequencing (GT-seq) is a powerful amplicon sequencing method that can genotype large numbers of variable-quality samples at a standardized set of single nucleotide polymorphism (SNP) loci. Here, we develop, optimize, and validate a GT-seq panel for the federally threatened northern Idaho ground squirrel (Urocitellus brunneus) to provide a standardized approach for future genetic monitoring and assessment of recovery goals using minimally invasive samples. The optimized panel consists of 224 neutral and 81 putatively adaptive SNPs. DNA collected from buccal swabs from 2016 to 2020 had 73% genotyping success, while samples collected from hair from 2002 to 2006 had little to no DNA remaining and did not genotype successfully. We evaluated our GT-seq panel by measuring genotype discordance rates compared to RADseq and whole-genome sequencing. GT-seq and other sequencing methods had similar population diversity and FST estimates, but GT-seq consistently called more heterozygotes than expected, resulting in negative FIS values at the population level. Genetic ancestry assignment was consistent when estimated with different sequencing methods and numbers of loci. Our GT-seq panel is an effective and efficient genotyping tool that will aid in the monitoring and recovery of this threatened species, and our results provide insights for applying GT-seq for minimally invasive DNA sampling techniques in other rare animals.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11321","usgsCitation":"Garrett, M.J., Nerkowski, S.A., Kieran, S., Campbell, N.R., Barbosa, S., Conway, C.J., Hohenlohe, P., and Waits, L., 2024, Development and validation of a GT-seq panel for genetic monitoring in a threatened species using minimally invasive sampling: Ecology and Evolution, v. 14, no. 5, e11321, 13 p., https://doi.org/10.1002/ece3.11321.","productDescription":"e11321, 13 p.","ipdsId":"IP-160807","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":439553,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.11321","text":"External Repository"},{"id":430043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Garrett, Molly J.","contributorId":338440,"corporation":false,"usgs":false,"family":"Garrett","given":"Molly","email":"","middleInitial":"J.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nerkowski, Stacey A.","contributorId":338441,"corporation":false,"usgs":false,"family":"Nerkowski","given":"Stacey","email":"","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kieran, Shannon","contributorId":338767,"corporation":false,"usgs":false,"family":"Kieran","given":"Shannon","email":"","affiliations":[],"preferred":false,"id":903271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Nathan R.","contributorId":338444,"corporation":false,"usgs":false,"family":"Campbell","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":81130,"text":"GTseek LLC","active":true,"usgs":false}],"preferred":false,"id":903272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barbosa, Soraia","contributorId":338447,"corporation":false,"usgs":false,"family":"Barbosa","given":"Soraia","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":903274,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hohenlohe, Paul A.","contributorId":338451,"corporation":false,"usgs":false,"family":"Hohenlohe","given":"Paul A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903275,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waits, Lisette P.","contributorId":338452,"corporation":false,"usgs":false,"family":"Waits","given":"Lisette P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903276,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70267225,"text":"70267225 - 2024 - Repeated coseismic uplift of coastal lagoons above the Patton Bay Splay Fault System, Montague Island, Alaska, USA","interactions":[],"lastModifiedDate":"2025-05-16T16:15:09.482771","indexId":"70267225","displayToPublicDate":"2024-05-20T11:10:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Repeated coseismic uplift of coastal lagoons above the Patton Bay Splay Fault System, Montague Island, Alaska, USA","docAbstract":"Coseismic slip on the Patton Bay splay fault system during the 1964 Mw 9.2 Great Alaska Earthquake contributed to local tsunami generation and vertically uplifted shorelines as much as 11 m on Montague Island in Prince William Sound (PWS). Sudden uplift of 3.7–4.3 m caused coastal lagoons along the island's northwestern coast to gradually drain. The resulting change in depositional environment from marine lagoon to freshwater muskeg created a sharp, laterally continuous stratigraphic contact between silt and overlying peat. Here, we characterize the geomorphology, sedimentology, and diatom ecology across the 1964 earthquake contact and three similar prehistoric contacts within the stratigraphy of the Hidden Lagoons locality. We find that the contacts signal instances of abrupt coastal uplift that, within error, overlap the timing of independently constrained megathrust earthquakes in PWS—1964 Common Era, 760–870 yr BP, 2500–2700 yr BP, and 4120–4500 yr BP. Changes in fossil diatom assemblages across the inferred prehistoric earthquake contacts reflect ecological shifts consistent with repeated draining of a lagoon system caused by >3 m of coseismic uplift. Our observations provide evidence for four instances of combined megathrust-splay fault ruptures that have occurred in the past ∼4,200 years in PWS. The possibility that 1964-style combined megathrust-splay fault ruptures may have repeated in the past warrants their consideration in future seismic and tsunami hazards assessments.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JB028552","usgsCitation":"DePaolis, J., Dura, T., Witter, R., Haeussler, P., Bender, A., Curran, J.H., and Corbett, D., 2024, Repeated coseismic uplift of coastal lagoons above the Patton Bay Splay Fault System, Montague Island, Alaska, USA: JGR Solid Earth, v. 129, no. 5, e2023JB028552, 19 p., https://doi.org/10.1029/2023JB028552.","productDescription":"e2023JB028552, 19 p.","ipdsId":"IP-162894","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":489025,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jb028552","text":"Publisher Index Page"},{"id":486319,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13UHFCE","text":"USGS data release","linkHelpText":"Diatom Data from Coastal Environments on Montague Island, Alaska"},{"id":486089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -152.57849021023995,\n 61.301320484760936\n ],\n [\n -157.10579653727243,\n 57.117867488361554\n ],\n [\n -145.11828913021205,\n 58.89119185780879\n ],\n [\n -143.770157912829,\n 61.51788781472092\n ],\n [\n -152.57849021023995,\n 61.301320484760936\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"DePaolis, Jessica","contributorId":334364,"corporation":false,"usgs":false,"family":"DePaolis","given":"Jessica","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":937363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dura, Tina","contributorId":195530,"corporation":false,"usgs":false,"family":"Dura","given":"Tina","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":937364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":937365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":937366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bender, Adrian 0000-0001-7469-1957","orcid":"https://orcid.org/0000-0001-7469-1957","contributorId":219952,"corporation":false,"usgs":true,"family":"Bender","given":"Adrian","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":937367,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":937368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Corbett, D. 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One hypothesis posits that if the spring hunting season is too early, there may be insufficient time for males to breed hens before being harvested, thus leading to reduced seasonal productivity. We conducted an experiment to determine whether delaying the wild turkey hunting season by 2 weeks in south-middle Tennessee would affect various reproductive rates. In 2021 and 2022, the Tennessee Fish and Wildlife Commission experimentally delayed the spring hunting season to open 14 days later than the traditional date (the Saturday closest to 1 April) in Giles, Lawrence, and Wayne counties. We monitored reproductive rates from 2017 to 2022 in these three counties as well as two adjacent counties, Bedford and Maury, that were not delayed. We used a Before-After-Control-Impact design to analyze the proportion of hens nesting, clutch size, hatchability, nest success, poult survival and hen survival with linear mixed-effect models and AIC model selection to detect relationships between the 14-day delay and reproductive parameters. We detected no relationship (p > .05) between the 14-day delay and any individual reproductive parameter. In addition, recruitment (hen poults per hen that survived until the next breeding season) was very low (<0.5) and did not increase because of the 14-day delay. The traditional Tennessee start date had been in place since 1986 while the turkey harvest increased markedly until about 2006 and more recently stabilized. Our data indicate that moving the start of the hunting season from a period just prior to peak nest initiation to 2 weeks later, to coincide with a period just prior to peak nest incubation initiation, resulted in no change to productivity or populations in wild turkey flocks in south-middle Tennessee.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11390","usgsCitation":"Quehl, J.O., Phillips, L.M., Johnson, V.M., Harper, C.A., Clark, J.D., Shields, R.D., and Buehler, D., 2024, Assessing wild turkey productivity before and after a 14-day delay in the start date of the spring hunting season in Tennessee: Ecology and Evolution, v. 14, no. 5, e11390, 16 p., https://doi.org/10.1002/ece3.11390.","productDescription":"e11390, 16 p.","ipdsId":"IP-160505","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439555,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.11390","text":"External Repository"},{"id":432858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Quehl, Joseph O.","contributorId":342921,"corporation":false,"usgs":false,"family":"Quehl","given":"Joseph","email":"","middleInitial":"O.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":910484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Lindsey M.","contributorId":342923,"corporation":false,"usgs":false,"family":"Phillips","given":"Lindsey","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":910485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Vincent M.","contributorId":342925,"corporation":false,"usgs":false,"family":"Johnson","given":"Vincent","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":910486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harper, Craig A.","contributorId":146944,"corporation":false,"usgs":false,"family":"Harper","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":910487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shields, Roger D.","contributorId":342928,"corporation":false,"usgs":false,"family":"Shields","given":"Roger","email":"","middleInitial":"D.","affiliations":[{"id":13408,"text":"Tennessee Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":910489,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buehler, David A.","contributorId":274719,"corporation":false,"usgs":false,"family":"Buehler","given":"David A.","affiliations":[{"id":56640,"text":"University of Tennesse","active":true,"usgs":false}],"preferred":false,"id":910490,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263617,"text":"70263617 - 2024 - Static and dynamic strain in the 1886 Charleston, South Carolina, earthquake","interactions":[],"lastModifiedDate":"2025-02-18T16:05:31.703124","indexId":"70263617","displayToPublicDate":"2024-05-20T09:57:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Static and dynamic strain in the 1886 Charleston, South Carolina, earthquake","docAbstract":"During the 1886 Mw 7.3 Charleston, South Carolina, earthquake, three railroads emanating from the city were exposed to severe shaking. Expansion joints in segmented railroad tracks are designed to allow railroad infrastructure to withstand a few parts in 10,000 of thermoelastic strain. We show that, in 1886, transient contractions exceeding this limiting value buckled rails, and transient extensions pulled rails apart. Calculated values for dynamic strain in the meizoseismal region are in reasonable agreement with those anticipated from the relation between strain and moment magnitude proposed by Barbour et al. (2021) and exceed estimated tectonic strain released by the earthquake by an order of magnitude. Almost all of the documented disturbances of railroad lines, including evidence for shortening of the rails, can thus be ascribed to the effects of dynamic strain changes, not static strain. Little or no damage to railroads was reported outside the estimated 10−4 dynamic strain contour. The correspondence between 10−3 and 2×10−4 contours of dynamic strain and Mercalli intensity 9 and 8, anticipated from the dependence of each quantity on peak ground velocity, suggests it may be possible to use railroad damage to quantitatively estimate shaking intensity. At one location, near Rantowles, ≈20 km west of Charleston, a photograph of buckled track taken one day after the earthquake has been cited as evidence for shallow dextral slip and has long focused a search for a causal fault in this region. Photogrammetric analysis reveals that the buckle was caused by transient contraction of <10 cm with no dextral offset. Our results further weaken the evidence for faulting in the swamps and forests south of the Ashley River in 1886, hitherto motivated by the photograph and limited macroseismic evidence for high‐intensity shaking.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240025","usgsCitation":"Bilham, R., and Hough, S.E., 2024, Static and dynamic strain in the 1886 Charleston, South Carolina, earthquake: Bulletin of the Seismological Society of America, v. 114, no. 5, p. 2687-2712, https://doi.org/10.1785/0120240025.","productDescription":"26 p.","startPage":"2687","endPage":"2712","ipdsId":"IP-162657","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","city":"Charleston","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.5,\n 33.2\n ],\n [\n -80.5,\n 32.6\n ],\n [\n -79.85,\n 32.6\n ],\n [\n -79.85,\n 33.2\n ],\n [\n -80.5,\n 33.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"114","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Bilham, Roger","contributorId":225117,"corporation":false,"usgs":false,"family":"Bilham","given":"Roger","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":927584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927585,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70254496,"text":"70254496 - 2024 - Resilience is not enough: Toward a more meaningful rangeland adaptation science","interactions":[],"lastModifiedDate":"2024-05-29T14:54:09.714482","indexId":"70254496","displayToPublicDate":"2024-05-20T09:51:36","publicationYear":"2024","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":"Resilience is not enough: Toward a more meaningful rangeland adaptation science","docAbstract":"Rangeland ecosystems, and their managers, face the growing urgency of climate change impacts. Researchers are therefore seeking integrative social-ecological frameworks that can enhance adaptation by managers to these climate change dynamics through tighter linkages among multiple scientific disciplines and manager contexts. Social-ecological framings, including resilience and vulnerability, are popular in such efforts, but their potential to inform meaningful rangeland adaptation science is limited by traditional disciplinary silos. Here, we provide reflective lessons learned from a multidisciplinary Rangelands, Ranching, and Resilience (R3) project on U.S. western rangelands that addressed 1) biophysical science projections of forage production under future climate scenarios, 2) ranchers’ views of resilience using social science methods, and 3) outreach efforts coordinated through extension professionals. Despite the project's initial intentions, human dimensions and ecological researchers largely worked in parallel sub-teams during the project, rather than weaving their expertise together with managers. The R3 project was multidisciplinary, but it provides a case study on lessons learned to suggest how social and ecological researchers can move towards approaches that transcend individual disciplines. Transdisciplinary science and management in rangelands requires more than just conceptual social-ecological frameworks. Additional methodological concepts need to include: 1) relationship building; 2) shared meaning making; and 3) a commitment to continual conversations and learning, or staying with the trouble, following Haraway (2016). If the goal is to address meaningful rangeland adaptation science rather than just produce academic products, researchers, outreach professionals, and rangeland-based communities should address a series of critical troubling questions. In the process of addressing these, deeper engagement among and beyond disciplines will occur as relationship building, shared meaning, and continual conversations and learning facilitate staying with the trouble.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.04.003","usgsCitation":"Wilmer, H., Ferguson, D.B., Dinan, M., Thacker, E., Adler, P.B., Walsh, K.B., Bradford, J., Brunson, M., Derner, J., Elias, E., Felton, A., Gray, C.A., Greene, C., McClaran, M., Shriver, R., Stephenson, M., and Suding, K.N., 2024, Resilience is not enough: Toward a more meaningful rangeland adaptation science: Rangeland Ecology & Management, v. 95, p. 56-67, https://doi.org/10.1016/j.rama.2024.04.003.","productDescription":"12 p.","startPage":"56","endPage":"67","ipdsId":"IP-160217","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":487874,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.04.003","text":"Publisher Index Page"},{"id":429347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilmer, Hailey","contributorId":245345,"corporation":false,"usgs":false,"family":"Wilmer","given":"Hailey","email":"","affiliations":[],"preferred":false,"id":901611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferguson, Daniel B.","contributorId":336961,"corporation":false,"usgs":false,"family":"Ferguson","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":80926,"text":"Department of Environmental Science, University of Arizona, Tucson, AZ 85721","active":true,"usgs":false}],"preferred":false,"id":901612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinan, Maude","contributorId":268203,"corporation":false,"usgs":false,"family":"Dinan","given":"Maude","email":"","affiliations":[{"id":55592,"text":"USDA Southwest Climate Hub, Jornada Experimental Range, P.O. Box 30003, MSC 3JER, NMSU, Las Cruces, NM 88003-8003","active":true,"usgs":false}],"preferred":false,"id":901613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thacker, Eric","contributorId":268205,"corporation":false,"usgs":false,"family":"Thacker","given":"Eric","email":"","affiliations":[{"id":55594,"text":"Department of Wildland Resources and the Ecology Center, Utah State University, 5230 Old Main Hill, Logan, UT 84322","active":true,"usgs":false}],"preferred":false,"id":901614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adler, Peter B.","contributorId":64789,"corporation":false,"usgs":false,"family":"Adler","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":901615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walsh, Kathryn Bills","contributorId":336962,"corporation":false,"usgs":false,"family":"Walsh","given":"Kathryn","email":"","middleInitial":"Bills","affiliations":[{"id":80927,"text":"Center for Conservation Social Sciences, Department of Natural Resources and the Environment, Cornell University, Ithaca, NY 14853","active":true,"usgs":false}],"preferred":false,"id":901616,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":901617,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brunson, Mark","contributorId":178263,"corporation":false,"usgs":false,"family":"Brunson","given":"Mark","affiliations":[],"preferred":false,"id":901618,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Derner, Justin D.","contributorId":270261,"corporation":false,"usgs":false,"family":"Derner","given":"Justin D.","affiliations":[{"id":56124,"text":"USDA, Agricultural Research Service, Rangeland Resources and Systems Research Unit","active":true,"usgs":false}],"preferred":false,"id":901619,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Elias, Emile","contributorId":194484,"corporation":false,"usgs":false,"family":"Elias","given":"Emile","affiliations":[],"preferred":false,"id":901620,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Felton, Andrew J","contributorId":264213,"corporation":false,"usgs":false,"family":"Felton","given":"Andrew J","affiliations":[{"id":54404,"text":"Department of Wildland Resources and The Ecology Center, Utah State University, Logan, Utah","active":true,"usgs":false}],"preferred":false,"id":901621,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gray, Curtis A.","contributorId":336963,"corporation":false,"usgs":false,"family":"Gray","given":"Curtis","email":"","middleInitial":"A.","affiliations":[{"id":80929,"text":"Department of Watershed Sciences, Utah State University, Logan, UT 84322","active":true,"usgs":false}],"preferred":false,"id":901622,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Greene, Christina","contributorId":268204,"corporation":false,"usgs":false,"family":"Greene","given":"Christina","email":"","affiliations":[{"id":55593,"text":"Utah State University, Department of Wildland Resources, Logan, UT 84322","active":true,"usgs":false}],"preferred":false,"id":901623,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McClaran, Mitchel P","contributorId":261341,"corporation":false,"usgs":false,"family":"McClaran","given":"Mitchel P","affiliations":[{"id":52829,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721-0043, USA","active":true,"usgs":false}],"preferred":false,"id":901624,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shriver, Robert K.","contributorId":297511,"corporation":false,"usgs":false,"family":"Shriver","given":"Robert K.","affiliations":[{"id":64419,"text":"Department of Natural Resources and Environmental Science, University of Nevada, Reno; Ecology, Evolution, and Conservation Biology Graduate Program, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":901625,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Stephenson, Mitch","contributorId":336964,"corporation":false,"usgs":false,"family":"Stephenson","given":"Mitch","email":"","affiliations":[{"id":80930,"text":"University of Nebraska-Lincoln, Panhandle Research, Extension and Education Center Scottsbluff, NE 89557","active":true,"usgs":false}],"preferred":false,"id":901626,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Suding, Katharine Nash","contributorId":336965,"corporation":false,"usgs":false,"family":"Suding","given":"Katharine","email":"","middleInitial":"Nash","affiliations":[{"id":80932,"text":"Department of Ecology and Evolutionary Biology, University of Colorado Boulder, CO 80309","active":true,"usgs":false}],"preferred":false,"id":901627,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70257528,"text":"70257528 - 2024 - Large-scale assessment of genetic structure to assess risk of populations of a large herbivore to disease","interactions":[],"lastModifiedDate":"2024-09-09T14:30:30.075753","indexId":"70257528","displayToPublicDate":"2024-05-20T09:20:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale assessment of genetic structure to assess risk of populations of a large herbivore to disease","docAbstract":"Chronic wasting disease (CWD) can spread among cervids by direct and indirect transmission, the former being more likely in emerging areas. Identifying subpopulations allows the delineation of focal areas to target for intervention. We aimed to assess the population structure of white-tailed deer (Odocoileus virginianus) in the northeastern United States at a regional scale to inform managers regarding gene flow throughout the region. We genotyped 10 microsatellites in 5701 wild deer samples from Maryland, New York, Ohio, Pennsylvania, and Virginia. We evaluated the distribution of genetic variability through spatial principal component analysis and inferred genetic structure using non-spatial and spatial Bayesian clustering algorithms (BCAs). We simulated populations representing each inferred wild cluster, wild deer in each state and each physiographic province, total wild population, and a captive population. We conducted genetic assignment tests using these potential sources, calculating the probability of samples being correctly assigned to their origin. Non-spatial BCA identified two clusters across the region, while spatial BCA suggested a maximum of nine clusters. Assignment tests correctly placed deer into captive or wild origin in most cases (94%), as previously reported, but performance varied when assigning wild deer to more specific origins. Assignments to clusters inferred via non-spatial BCA performed well, but efficiency was greatly reduced when assigning samples to clusters inferred via spatial BCA. Differences between spatial BCA clusters are not strong enough to make assignment tests a reliable method for inferring the geographic origin of deer using 10 microsatellites. However, the genetic distinction between clusters may indicate natural and anthropogenic barriers of interest for management.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11347","usgsCitation":"Walter, W., Fameli, A., Russo-Petrick, K., Edson, J.E., Rosenberry, C., Schuler, K., and Tonkovich, M.J., 2024, Large-scale assessment of genetic structure to assess risk of populations of a large herbivore to disease: Ecology and Evolution, v. 14, no. 5, e11347, 17 p., https://doi.org/10.1002/ece3.11347.","productDescription":"e11347, 17 p.","ipdsId":"IP-157027","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11347","text":"Publisher Index Page"},{"id":433609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New York, Ohio, Pennsylvania, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.53806540352511,\n 40.60390837842749\n ],\n [\n -72.0242954888691,\n 40.96742287477255\n ],\n [\n -72.3957461899627,\n 41.09736938640603\n ],\n [\n -73.62227013633844,\n 40.957534295761576\n ],\n [\n -73.54766611994648,\n 41.48030545825051\n ],\n [\n -73.26692191129706,\n 42.79294770620959\n ],\n [\n -73.1994757187754,\n 43.61068004165881\n ],\n [\n -73.3790638901379,\n 44.04450659362922\n ],\n [\n -73.19454351067162,\n 44.99824015578895\n ],\n [\n -75.0094277419646,\n 45.02493063348794\n ],\n [\n -76.36040273327572,\n 44.105778145583514\n ],\n [\n -76.4710979564532,\n 43.63424992241406\n ],\n [\n -78.94659626979808,\n 43.43039725238452\n ],\n [\n -79.07364425606073,\n 42.92997544876661\n ],\n [\n -80.59448587728757,\n 42.01489131065401\n ],\n [\n -82.41912457815181,\n 41.52656370840447\n ],\n [\n -83.49526198723117,\n 41.784963805136954\n ],\n [\n -84.80388515104805,\n 41.68669895646278\n ],\n [\n -84.78558358461441,\n 39.08573328714348\n ],\n [\n -83.50463915443487,\n 38.61634890402786\n ],\n [\n -82.29512319791195,\n 38.39474616489193\n ],\n [\n -81.4805526055597,\n 39.29411956748126\n ],\n [\n -80.88672759965885,\n 39.61859446075778\n ],\n [\n -80.60644606082423,\n 40.5858194909315\n ],\n [\n -80.54787624859944,\n 39.787325510053904\n ],\n [\n -79.49058755744055,\n 39.71989284464391\n ],\n [\n -79.50077549039747,\n 39.136874067668316\n ],\n [\n -79.25435833769072,\n 38.56568980670258\n ],\n [\n -78.81092119749322,\n 38.973809681021265\n ],\n [\n -78.3804709971101,\n 39.240615844529515\n ],\n [\n -78.32282851773627,\n 39.33344914088116\n ],\n [\n -77.53395156095088,\n 39.06809884506578\n ],\n [\n -77.04257057230639,\n 38.97266739851503\n ],\n [\n -76.57606973134129,\n 38.959918191842604\n ],\n [\n -76.14055211454502,\n 39.45362626926578\n ],\n [\n -75.54984575740463,\n 39.69289931481302\n ],\n [\n -75.0651318931101,\n 40.044372772640344\n ],\n [\n -74.91345541308407,\n 40.25638798783328\n ],\n [\n -75.21343462104674,\n 40.65722015307699\n ],\n [\n -75.12794165548056,\n 41.013033953259225\n ],\n [\n -74.71662484664402,\n 41.37817055051897\n ],\n [\n -74.21750201529525,\n 41.1349711356919\n ],\n [\n -74.08809979975995,\n 40.94325095041535\n ],\n [\n -74.02802019969054,\n 40.64936489538104\n ],\n [\n -74.00953416889949,\n 40.56515858654359\n ],\n [\n -73.53806540352511,\n 40.60390837842749\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fameli, Alberto","contributorId":343118,"corporation":false,"usgs":false,"family":"Fameli","given":"Alberto","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russo-Petrick, Kelly","contributorId":343119,"corporation":false,"usgs":false,"family":"Russo-Petrick","given":"Kelly","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edson, Jessie E.","contributorId":343122,"corporation":false,"usgs":false,"family":"Edson","given":"Jessie","email":"","middleInitial":"E.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, Christopher S.","contributorId":343125,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":910635,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schuler, Krysten L.","contributorId":343130,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten L.","affiliations":[{"id":81979,"text":"New York State Wildlife Health Program","active":true,"usgs":false}],"preferred":false,"id":910636,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tonkovich, Michael J.","contributorId":343131,"corporation":false,"usgs":false,"family":"Tonkovich","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910637,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70255130,"text":"70255130 - 2024 - Updated range map of an endangered salamander and congeneric competitor reveals different niche preferences","interactions":[],"lastModifiedDate":"2024-06-12T13:55:34.610741","indexId":"70255130","displayToPublicDate":"2024-05-20T08:51:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Updated range map of an endangered salamander and congeneric competitor reveals different niche preferences","docAbstract":"Estimating distributions for cryptic and highly range-restricted species induces unique challenges for species distribution modeling. In particular, bioclimatic covariates that are typically used to model species ranges at regional and continental scales may not show strong variation at scales of 100s and 10s of meters. This limits both the likelihood and usefulness of correlated occurrence to data typically used in distribution models. Here, we present analyses of species distributions, at 100 × 100 m resolution, for a highly range restricted salamander species (Shenandoah salamander, Plethodon shenandoah) and a closely related congener (red-backed salamander, Plethodon cinereus). We combined data across multiple survey types, account for seasonal variation in availability of our target species, and control for repeated surveys at locations– all typical challenges in range-scale monitoring datasets. We fit distribution models using generalized additive models that account for spatial covariates as well as unexplained spatial variation and spatial uncertainty. Our model accommodates different survey protocols using offsets and incorporates temporal variation in detection and availability resulting from survey-specific variation in temperature and precipitation. Our spatial random effect was crucial in identifying small-scale differences in the occurrence of each species and provides cell-specific estimates of uncertainty in the density of salamanders across the range. Counts of both species were seen to increase in the 3 days following a precipitation event. However, P. cinereus were observed even in extremely wet conditions, while surface activity of P. shenandoah was associated with a more narrow range. Our results demonstrate how a flexible analytical approach improves estimates of both distribution and uncertainty, and identify key abiotic relationships, even at small spatial scales and when scales of empirical data are mismatched. While our approach is especially valuable for species with small ranges, controlling for spatial autocorrelation, estimating spatial uncertainty, and incorporating survey-specific information in estimates can improve the reliability of distribution models in general.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11262","usgsCitation":"Werba, J.A., Miller, D., Brand, A., and Campbell Grant, E.H., 2024, Updated range map of an endangered salamander and congeneric competitor reveals different niche preferences: Ecology and Evolution, v. 14, no. 5, e11262, 13 p., https://doi.org/10.1002/ece3.11262.","productDescription":"e11262, 13 p.","ipdsId":"IP-154028","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439561,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.11262","text":"External Repository"},{"id":430009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Werba, Jo Avital 0000-0002-5295-7790","orcid":"https://orcid.org/0000-0002-5295-7790","contributorId":338728,"corporation":false,"usgs":true,"family":"Werba","given":"Jo","email":"","middleInitial":"Avital","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":903496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David A. W.","contributorId":332095,"corporation":false,"usgs":false,"family":"Miller","given":"David A. W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":903497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":304281,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":903498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":903499,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254422,"text":"70254422 - 2024 - Accuracy, accessibility, and institutional capacity shape the utility of habitat models for managing and conserving rare plants on western public lands","interactions":[],"lastModifiedDate":"2024-05-23T12:06:27.449674","indexId":"70254422","displayToPublicDate":"2024-05-20T07:03:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy, accessibility, and institutional capacity shape the utility of habitat models for managing and conserving rare plants on western public lands","docAbstract":"Public lands are often managed for multiple uses ranging from energy development to rare plant conservation. Habitat models can help land managers assess and mitigate potential effects of projects on rare plants, but it is unclear how models are currently being used. Our goal was to better understand how staff in the Bureau of Land Management currently use habitat models to inform their decisions, and perceived challenges and benefits associated with that use. We first examined litigation documents to determine whether the agency has been challenged on its use of data for rare plants and found no relevant legal challenges. Second, we analyzed model use in National Environmental Policy Act (NEPA) documents and found no clear citations of habitat models. Finally, we conducted interviews with agency staff who analyze potential effects of proposed actions on rare plants in NEPA documents. The primary challenges interviewees faced in using models related to data organization and access, model quality and accuracy, and institutional capacity. Interviewees believed models could be used more to inform decisions and actions to conserve rare plants and rare plant habitat on public lands and recommended improving staff access to models, creating models for additional species, and addressing staffing limitations.