{"pageNumber":"166","pageRowStart":"4125","pageSize":"25","recordCount":184565,"records":[{"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":"
The alewife (Alosa pseudoharengus) is an anadromous herring that inhabits waters of northeastern North America. This prey species is a critical forage for piscivorous birds, mammals, and fishes in estuarine and oceanic ecosystems. During a discovery project tailored to identify potentially emerging pathogens of this species, we obtained the full genome of a novel hepadnavirus (ApHBV) from clinically normal alewives collected from the Maurice River, Great Egg Harbor River, and Delaware River in New Jersey, USA during 2015–2018. This previously undescribed hepadnavirus contained a circular DNA genome of 3146 nucleotides. Phylogenetic analysis of the polymerase protein placed this virus in the clade of metahepadnaviruses (family: Hepadnaviridae; genus: Metahepadnavirus). There was no evidence of pathology in the internal organs of infected fish and virions were not observed in liver tissues by electron microscopy. We developed a Taqman-based quantitative (qPCR) assay and screened 182 individuals collected between 2015 and 2018 and detected additional qPCR positives (n = 6). An additional complete genome was obtained in 2018 and it has 99.4% genome nucleotide identity to the first virus. Single-nucleotide polymorphisms were observed between the two genomes, including 7/9 and 12/8 synonymous vs nonsynonymous mutations across the polymerase and surface proteins, respectively. While there was no evidence that this virus was associated with disease in this species, alewives are migratory interjurisdictional fishes of management concern. Identification of microbial agents using de novo sequencing and other advanced technologies is a critical aspect of understanding disease ecology for informed population management.

","language":"English","publisher":"MDPI","doi":"10.3390/v16060824","usgsCitation":"Raines, C.D., Lovy, J., Phelps, N.B., Mor, S., Ng, T., and Iwanowicz, L.R., 2024, Discovery and genomic characterization of a novel hepadnavirus from asymptomatic anadromous alewife (Alosa pseudoharengus): Viruses, v. 16, no. 6, 824, 16 p., https://doi.org/10.3390/v16060824.","productDescription":"824, 16 p.","ipdsId":"IP-162846","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439536,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v16060824","text":"Publisher Index Page"},{"id":430716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.45013476920779,\n 41.012795334894605\n ],\n [\n -75.45013476920779,\n 39.47832891534992\n ],\n [\n -73.8900761754575,\n 39.47832891534992\n ],\n [\n -73.8900761754575,\n 41.012795334894605\n ],\n [\n -75.45013476920779,\n 41.012795334894605\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":905391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovy, Jan 0000-0003-2704-0822","orcid":"https://orcid.org/0000-0003-2704-0822","contributorId":331539,"corporation":false,"usgs":true,"family":"Lovy","given":"Jan","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":905392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phelps, Nicolas B.D.","contributorId":339849,"corporation":false,"usgs":false,"family":"Phelps","given":"Nicolas","email":"","middleInitial":"B.D.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":905393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mor, Sunil","contributorId":339850,"corporation":false,"usgs":false,"family":"Mor","given":"Sunil","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":905394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ng, Terry","contributorId":339851,"corporation":false,"usgs":false,"family":"Ng","given":"Terry","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":905395,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":339852,"corporation":false,"usgs":false,"family":"Iwanowicz","given":"Luke","middleInitial":"R.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":905396,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70254410,"text":"70254410 - 2024 - Earthquake cycle mechanics during caldera collapse: Simulating the 2018 Kīlauea eruption","interactions":[],"lastModifiedDate":"2024-05-23T11:43:28.616802","indexId":"70254410","displayToPublicDate":"2024-05-22T06:42:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake cycle mechanics during caldera collapse: Simulating the 2018 Kīlauea eruption","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.

","language":"English","publisher":"Wiley","doi":"10.1029/2024JB028886","usgsCitation":"Crozier, J.A., and Anderson, K.R., 2024, Earthquake cycle mechanics during caldera collapse: Simulating the 2018 Kīlauea eruption: Journal of Geophysical Research: Solid Earth, v. 129, no. 5, e2024JB028886, https://doi.org/10.1029/2024JB028886.","productDescription":"e2024JB028886","ipdsId":"IP-161865","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":434955,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13AVKVX","text":"USGS data release","linkHelpText":"Caldera Collapse Earthquake Cycle Codes"},{"id":429200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.3719884218924,\n 19.538424455528485\n ],\n [\n -155.3719884218924,\n 19.33690704843825\n ],\n [\n -155.12586645868072,\n 19.33690704843825\n ],\n [\n -155.12586645868072,\n 19.538424455528485\n ],\n [\n -155.3719884218924,\n 19.538424455528485\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Crozier, Joshua Allen 0000-0001-8996-3441","orcid":"https://orcid.org/0000-0001-8996-3441","contributorId":331790,"corporation":false,"usgs":true,"family":"Crozier","given":"Joshua","email":"","middleInitial":"Allen","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":901286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":901287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70259161,"text":"70259161 - 2024 - Ecological dissimilarity matters more than geographical distance when predicting land surface indicators using machine learning","interactions":[],"lastModifiedDate":"2024-09-30T10:57:59.054915","indexId":"70259161","displayToPublicDate":"2024-05-22T05:55:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Ecological dissimilarity matters more than geographical distance when predicting land surface indicators using machine learning","docAbstract":"
Supervised training techniques, such as those used in machine learning, use generally large sets of in situ data to train models that can, in turn, be used to make predictions (or prediction maps) about the Earth’s surface in times or places where no in situ data exist. The purpose of the present study is to investigate, using a very large set of in situ data from across the western United States (U.S.), the conditions under which training data from a different geographic region where predictions are desired may be substituted. To do this, we train models using in situ data from level IV ecoregions and test how well these models predict surface conditions in different ecoregions. We characterize the difference between the possible pairs of ecoregion in terms of geographical (centroid-to-centroid) distance and “ecological dissimilarity.” Ecological dissimilarity between pairs of ecoregions is defined in two ways: 1) as the Euclidean distance in multivariate space defined by in situ indicators designed for monitoring purposes and 2) in terms of the difference in temporal behavior from model- and remote sensing-derived datasets. Although, overall, prediction error increases with geographical distance between training and testing ecoregions, our results indicate that ecological dissimilarity can be used to predict the error expected from a model trained with data from one ecoregion when applied in a different ecoregion.
","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2024.3404240","usgsCitation":"Zhou, B., Okin, G.S., Zhang, J., Savage, S.L., Cole, C.J., and Duniway, M.C., 2024, Ecological dissimilarity matters more than geographical distance when predicting land surface indicators using machine learning: IEEE Transactions on Geoscience and Remote Sensing, v. 62, 11 p., https://doi.org/10.1109/TGRS.2024.3404240.","productDescription":"11 p.","ipdsId":"IP-159913","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467005,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/tgrs.2024.3404240","text":"Publisher Index Page"},{"id":462400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -127.2163431238018,\n 50.048657386904125\n ],\n [\n -127.2163431238018,\n 29.43766167243332\n ],\n [\n -99.79446812380138,\n 29.43766167243332\n ],\n [\n -99.79446812380138,\n 50.048657386904125\n ],\n [\n -127.2163431238018,\n 50.048657386904125\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Bo","contributorId":288370,"corporation":false,"usgs":false,"family":"Zhou","given":"Bo","email":"","affiliations":[{"id":61738,"text":"Department of Geography, University of California","active":true,"usgs":false}],"preferred":false,"id":914360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Okin, Gregory S.","contributorId":225053,"corporation":false,"usgs":false,"family":"Okin","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":914361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Junzhe","contributorId":344643,"corporation":false,"usgs":false,"family":"Zhang","given":"Junzhe","email":"","affiliations":[{"id":82404,"text":"Ph.D. Graduate in Geography, University of California, Los Angeles, California, USA; Software Developer/Machine Learning Scientist","active":true,"usgs":false}],"preferred":false,"id":914362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Savage, Shannon L.","contributorId":344644,"corporation":false,"usgs":false,"family":"Savage","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":82405,"text":"Chief of the Remote Sensing Section in the Division of Resource Services, National Operations Center of the Bureau of Land Management, Denver, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":914363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cole, Christopher J.","contributorId":344645,"corporation":false,"usgs":false,"family":"Cole","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":82406,"text":"Remote Sensing Lead, Bureau of Land Management, National Operations Center in Denver, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":914364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914365,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70258338,"text":"70258338 - 2024 - Setting a pluralist agenda for water governance: Why power and scale matter","interactions":[],"lastModifiedDate":"2024-09-12T15:15:39.438141","indexId":"70258338","displayToPublicDate":"2024-05-21T10:10:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Setting a pluralist agenda for water governance: Why power and scale matter","docAbstract":"

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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":912952,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Livneh, Ben","contributorId":145804,"corporation":false,"usgs":false,"family":"Livneh","given":"Ben","email":"","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":912953,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Neupane, Kaustuv Raj 0000-0003-1079-6367","orcid":"https://orcid.org/0000-0003-1079-6367","contributorId":344144,"corporation":false,"usgs":false,"family":"Neupane","given":"Kaustuv","email":"","middleInitial":"Raj","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":912954,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Petach, Tanya N. 0000-0002-4109-1012","orcid":"https://orcid.org/0000-0002-4109-1012","contributorId":335674,"corporation":false,"usgs":false,"family":"Petach","given":"Tanya","email":"","middleInitial":"N.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":912955,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Peters, Chelsea N. 0000-0001-8668-9790","orcid":"https://orcid.org/0000-0001-8668-9790","contributorId":344145,"corporation":false,"usgs":false,"family":"Peters","given":"Chelsea","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":912956,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wang, Hsiao-Hsuan","contributorId":315514,"corporation":false,"usgs":false,"family":"Wang","given":"Hsiao-Hsuan","email":"","affiliations":[{"id":68345,"text":"Texas A&M U.","active":true,"usgs":false}],"preferred":false,"id":912957,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pahl-Wostl, Claudia","contributorId":344146,"corporation":false,"usgs":false,"family":"Pahl-Wostl","given":"Claudia","email":"","affiliations":[{"id":82304,"text":"University of Osnabruck, Germany","active":true,"usgs":false}],"preferred":false,"id":912958,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wheater, Howard 0000-0003-3993-7389","orcid":"https://orcid.org/0000-0003-3993-7389","contributorId":344147,"corporation":false,"usgs":false,"family":"Wheater","given":"Howard","email":"","affiliations":[{"id":80876,"text":"University of Saskatchewan, Canada","active":true,"usgs":false}],"preferred":false,"id":912959,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70261237,"text":"70261237 - 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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Accurately predicting species’ distributions is critical for the management and conservation of fish and wildlife populations. Joint Species Distribution Models (JSDMs) account for dependencies between species often ignored by traditional species distribution models. We evaluated how a JSDM approach could improve predictive strength for stream fish communities within large watersheds (the Chesapeake Bay Watershed, USA), using a cross-validation study of JSDMs fit to data from over 50 species. Our results suggest that conditional predictions from JSDMs have the potential to make large improvements in predictive accuracy for many species, particularly for more generalist species where single species models may not perform well. For some species there was no added explanatory effect from conditional information, most of which already exhibited strong marginal predictive ability. For several rare species there were significant improvements in occurrence predictions, while the results for two invasive species considered did not show the same improvements. Overall, the optimal number of species to condition upon, as well as the effects of conditioning upon an increasing number of species, varied widely among species.

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  1. Testing for intraspecific variation for host tolerance or resistance in wild populations is important for informing conservation decisions about captive breeding, translocation, and disease treatment. Here, we test the importance of tolerance and resistance in multiple populations of boreal toads (Anaxyrus boreas boreas) against Batrachochytrium dendrobatidis (Bd), the amphibian fungal pathogen responsible for the greatest host biodiversity loss due to disease.
  2. Boreal toads have severely declined in Colorado (CO) due to Bd, but toad populations challenged with Bd in western Wyoming (WY) appear to be less affected. We used a common garden infection experiment to expose post-metamorphic toads sourced from four populations (2 in CO and 2 in WY) to Bd and monitored changes in mass, pathogen burden and survival for 8 weeks. We used a multi-state modelling approach to estimate weekly survival and transition probabilities between infected and cleared states, reflecting a dynamic infection process that traditional approaches fail to capture.
  3. We found that WY boreal toads are more tolerant to Bd infection with higher survival probabilities than those in CO when infected with identical pathogen burdens. WY toads also appeared more resistant to Bd with a higher probability of infection clearance and an average of 5 days longer to reach peak infection burdens. Our results demonstrate strong intraspecific differences in tolerance and resistance that likely contribute to why population declines vary regionally across this species.
  4. Our multi-state framework allowed us to gain inference on typically hidden disease processes when testing for host tolerance or resistance. Our findings demonstrate that describing an entire host species as ‘tolerant’ or ‘resistant’ (or lack thereof) is unwise without testing for intraspecific variation.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14106","usgsCitation":"Hardy, B., Muths, E., Funk, W.C., and Bailey, L.L., 2024, Quantifying intraspecific variation in host resistance ad tolerance to a lethal pathogen: Journal of Animal Ecology, v. 94, no. 3, p. 316-329, https://doi.org/10.1111/1365-2656.14106.","productDescription":"14 p.","startPage":"316","endPage":"329","ipdsId":"IP-155688","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":493782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.14106","text":"Publisher Index Page"},{"id":493545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.1432172901915,\n 44.15244472185606\n ],\n [\n -111.1432172901915,\n 42.47515045940858\n ],\n [\n -110.02815120277452,\n 42.47515045940858\n ],\n [\n -110.02815120277452,\n 44.15244472185606\n ],\n [\n -111.1432172901915,\n 44.15244472185606\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.54871837378977,\n 40.9838676070047\n ],\n [\n -106.54871837378977,\n 40.3683368700095\n ],\n [\n -105.19246311476707,\n 40.3683368700095\n ],\n [\n -105.19246311476707,\n 40.9838676070047\n ],\n [\n -106.54871837378977,\n 40.9838676070047\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"94","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hardy, B.","contributorId":359018,"corporation":false,"usgs":false,"family":"Hardy","given":"B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":944791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":245923,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":944792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, W. C.","contributorId":359021,"corporation":false,"usgs":false,"family":"Funk","given":"W.","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":944793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, L. L.","contributorId":359024,"corporation":false,"usgs":false,"family":"Bailey","given":"L.","middleInitial":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":944794,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254388,"text":"70254388 - 2024 - Why do avian responses to change in Arctic green-up vary?","interactions":[],"lastModifiedDate":"2024-05-22T12:02:49.137806","indexId":"70254388","displayToPublicDate":"2024-05-21T07:01:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Why do avian responses to change in Arctic green-up vary?","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.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17335","usgsCitation":"Tavera, E.A., Lank, D.B., Douglas, D.C., Sandercock, B., Lanctot, R., Schmidt, N., Reneerkens, J., Ward, D.H., Bety, J., Kwon, E., Lecomte, N., Gratto-Trevor, C.L., Smith, P.A., English, W.B., Saalfeld, S.T., Brown, S.C., Gates, H.R., Nol, E., Liebezeit, J.R., McGuire, R.L., McKinnon, L., Kendall, S., Robards, M.D., Boldenow, M., Payer, D.C., Rausch, J., Soloviev, M., Solovyeva, D.V., Zack, S., Stalwick, J., and Gurney, K.E., 2024, Why do avian responses to change in Arctic green-up vary?, v. 30, no. 5, e17335, 16 p., https://doi.org/10.1111/gcb.17335.","productDescription":"e17335, 16 p.","ipdsId":"IP-155948","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17335","text":"Publisher Index 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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.

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wasting disease alters the movement behavior and habitat use of mule deer during clinical stages of infection","docAbstract":"

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.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11418","usgsCitation":"Barrile, G., Cross, P., Stewart, C., Malmberg, J., Jakopak, R., Binfet, J., Montieth, K., Werner, B., Jennings-Gaines, J., and Merkle, J., 2024, Chronic wasting disease alters the movement behavior and habitat use of mule deer during clinical stages of infection: Ecology and Evolution, v. 14, no. 5, e11418, 16 p., https://doi.org/10.1002/ece3.11418.","productDescription":"e11418, 16 p.","ipdsId":"IP-156880","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11418","text":"Publisher Index Page"},{"id":429199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.38334941809111,\n 44.38515314006116\n ],\n [\n -109.38334941809111,\n 41.556310779351236\n ],\n [\n -106.06547832434123,\n 41.556310779351236\n ],\n [\n -106.06547832434123,\n 44.38515314006116\n ],\n [\n -109.38334941809111,\n 44.38515314006116\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Barrile, Gabriel M.","contributorId":288734,"corporation":false,"usgs":false,"family":"Barrile","given":"Gabriel M.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":901288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":218820,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":901289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Cheynne","contributorId":336874,"corporation":false,"usgs":false,"family":"Stewart","given":"Cheynne","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":901290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malmberg, Jennifer L.","contributorId":179193,"corporation":false,"usgs":false,"family":"Malmberg","given":"Jennifer L.","affiliations":[],"preferred":false,"id":901291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jakopak, Rhiannon P.","contributorId":288168,"corporation":false,"usgs":false,"family":"Jakopak","given":"Rhiannon P.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":901292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Binfet, Justin","contributorId":198650,"corporation":false,"usgs":false,"family":"Binfet","given":"Justin","email":"","affiliations":[],"preferred":false,"id":901293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Montieth, Kevin","contributorId":336877,"corporation":false,"usgs":false,"family":"Montieth","given":"Kevin","email":"","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":901294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Werner, Brandon","contributorId":336880,"corporation":false,"usgs":false,"family":"Werner","given":"Brandon","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":901295,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jennings-Gaines, Jessica","contributorId":336882,"corporation":false,"usgs":false,"family":"Jennings-Gaines","given":"Jessica","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":901296,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Merkle, JA","contributorId":199581,"corporation":false,"usgs":false,"family":"Merkle","given":"JA","email":"","affiliations":[],"preferred":false,"id":901297,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70255054,"text":"70255054 - 2024 - Development and validation of a GT-seq panel for genetic monitoring in a threatened species using minimally invasive sampling","interactions":[],"lastModifiedDate":"2024-06-12T22:29:51.273888","indexId":"70255054","displayToPublicDate":"2024-05-20T17:23:16","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":"Development and validation of a GT-seq panel for genetic monitoring in a threatened species using minimally invasive sampling","docAbstract":"

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":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","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. Reide","contributorId":23681,"corporation":false,"usgs":true,"family":"Corbett","given":"D. Reide","affiliations":[],"preferred":false,"id":937369,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70257463,"text":"70257463 - 2024 - Assessing wild turkey productivity before and after a 14-day delay in the start date of the spring hunting season in Tennessee","interactions":[],"lastModifiedDate":"2024-08-16T15:02:05.310071","indexId":"70257463","displayToPublicDate":"2024-05-20T09:58:58","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":"Assessing wild turkey productivity before and after a 14-day delay in the start date of the spring hunting season in Tennessee","docAbstract":"

Ten state wildlife management agencies in the United States, including six within the Southeast, have delayed their spring wild turkey (Meleagris gallopavo) hunting seasons since 2017 by five or more days to address concerns related to the potential effects of hunting on wild turkey seasonal productivity. 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":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain 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.

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Effects of episodic stream dewatering on brook trout spatial population structure","interactions":[],"lastModifiedDate":"2024-06-18T13:58:52.173983","indexId":"70254384","displayToPublicDate":"2024-05-20T06:51:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of episodic stream dewatering on brook trout spatial population structure","docAbstract":"
  1. Stream dewatering is expected to become more prevalent due to climate change, and we explored the potential consequences for brook trout (Salvelinus fontinalis) within a temperate forest ecosystem in eastern North America.
  2. We estimated fish density within stream pools (n = 386) from electrofishing surveys over 10 years (2012–2021) to compare a stream that exhibits episodic dewatering (Paine Run) against a stream of similar size that remains flow-connected (Staunton River) within Shenandoah National Park, Virginia (U.S.A.). Annual surveys encompassed fluvial distances ranging from 2.6 to 4.4 km in each stream.
  3. Mean annual fish density (fish/pool m2) was not different between streams for juvenile or adult age classes, but spatial variation in density was greater in Paine Run for both age classes of fish. Paine Run also included a greater proportion of unoccupied pools than Staunton River and exhibited stronger spatial autocorrelation in fish density among nearby pools, suggesting dispersal limitation due to surface flow fragmentation.
  4. Fish density in pools increased during years with low summer precipitation, and this effect was observed in both streams but was stronger in Paine Run than Staunton River, further indicating the importance of fish movement into pools in response to low-flow thresholds.
  5. Our results indicate the importance of pools as ecological refuges during low-flow conditions and that episodic dewatering may affect extirpation risks for brook trout by sequestering more fish into fewer areas. Our findings also highlight the importance of hydrological variation within stream networks because downstream river gages could not predict the observed spatial heterogeneity in fish density or pool occupancy.


","language":"English","publisher":"Wiley","doi":"10.1111/fwb.14287","usgsCitation":"Hitt, N.P., Rogers, K.M., Kessler, K.G., Briggs, M., Fair, J.H., and Dolloff, A.C., 2024, Effects of episodic stream dewatering on brook trout spatial population structure: Freshwater Biology, v. 69, no. 7, p. 1027-1041, https://doi.org/10.1111/fwb.14287.","productDescription":"15 p.","startPage":"1027","endPage":"1041","ipdsId":"IP-151432","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488172,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.14287","text":"Publisher Index Page"},{"id":429139,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Karli M. 0000-0002-6188-7405","orcid":"https://orcid.org/0000-0002-6188-7405","contributorId":237955,"corporation":false,"usgs":true,"family":"Rogers","given":"Karli","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kessler, Karmann G. 0000-0001-5681-4909","orcid":"https://orcid.org/0000-0001-5681-4909","contributorId":242765,"corporation":false,"usgs":true,"family":"Kessler","given":"Karmann","email":"","middleInitial":"G.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":901169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":901170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dolloff, Andrew C.","contributorId":336834,"corporation":false,"usgs":false,"family":"Dolloff","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":901171,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70254432,"text":"70254432 - 2024 - The dominance and growth of shallow groundwater resources in continuous permafrost environments","interactions":[],"lastModifiedDate":"2024-05-24T11:49:09.637699","indexId":"70254432","displayToPublicDate":"2024-05-20T06:47:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The dominance and growth of shallow groundwater resources in continuous permafrost environments","docAbstract":"
Water is a limited resource in Arctic watersheds with continuous permafrost because freezing conditions in winter and the impermeability of permafrost limit storage and connectivity between surface water and deep groundwater. However, groundwater can still be an important source of surface water in such settings, feeding springs and large aufeis fields that are abundant in cold regions and generating runoff when precipitation is rare. Whether groundwater is sourced from suprapermafrost taliks or deeper regional aquifers will impact water availability as the Arctic continues to warm and thaw. Previous research is ambiguous about the role of deep groundwater, leading to uncertainty regarding Arctic water availability and changing water resources. We analyzed chemistry and residence times of spring, stream, and river waters in the continuous permafrost zone of Alaska, spanning the mountains to the coastal plain. Water chemistry and age tracers show that surface waters are predominately sourced from recent precipitation and have short (<50 y) subsurface residence times. Remote sensing indicates trends in the areal extent of aufeis over the last 37 y, and correlations between aufeis extent and previous year summer temperature. Together, these data indicate that surface waters in continuous permafrost regions may be impacted by short flow paths and shallow suprapermafrost aquifers that are highly sensitive to climatic and hydrologic change over annual timescales. Despite the lack of connection to regional aquifers, continued warming and permafrost thaw may promote deepening of the shallow subsurface aquifers and creation of shallow taliks, providing some resilience to Arctic freshwater ecosystems.
","language":"English","publisher":"Proceedings of the National Academy of Sciences","doi":"10.1073/pnas.2317873121","usgsCitation":"Koch, J.C., Connolly, C.T., Baughman, C., Repasch, M., Best, H., and Hunt, A., 2024, The dominance and growth of shallow groundwater resources in continuous permafrost environments: Proceedings of the National Academy of Sciences, v. 121, no. 23, e2317873121, https://doi.org/10.1073/pnas.2317873121.","productDescription":"e2317873121","ipdsId":"IP-158722","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467007,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.2317873121","text":"External Repository"},{"id":434956,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95CXJIT","text":"USGS data release","linkHelpText":"Hydrochemistry and Age Date Tracers from Springs, Streams, and Rivers in the Arctic National Wildlife Refuge, 2019-2022"},{"id":429241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"23","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":901352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Craig T.","contributorId":255063,"corporation":false,"usgs":false,"family":"Connolly","given":"Craig","email":"","middleInitial":"T.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":901353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":901354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Repasch, Marisa 0000-0003-2636-9896","orcid":"https://orcid.org/0000-0003-2636-9896","contributorId":334190,"corporation":false,"usgs":false,"family":"Repasch","given":"Marisa","email":"","affiliations":[],"preferred":false,"id":901355,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Best, Heather 0000-0003-0764-3060","orcid":"https://orcid.org/0000-0003-0764-3060","contributorId":225684,"corporation":false,"usgs":true,"family":"Best","given":"Heather","email":"","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":901356,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":901357,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70254568,"text":"70254568 - 2024 - Metal mobilization from thawing permafrost to aquatic ecosystems is driving rusting of Arctic streams","interactions":[],"lastModifiedDate":"2024-06-03T11:41:21.61537","indexId":"70254568","displayToPublicDate":"2024-05-20T06:37:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17089,"text":"Communications Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Metal mobilization from thawing permafrost to aquatic ecosystems is driving rusting of Arctic streams","docAbstract":"

Climate change in the Arctic is altering watershed hydrologic processes and biogeochemistry. Here, we present an emergent threat to Arctic watersheds based on observations from 75 streams in Alaska’s Brooks Range that recently turned orange, reflecting increased loading of iron and toxic metals. Using remote sensing, we constrain the timing of stream discoloration to the last 10 years, a period of rapid warming and snowfall, suggesting impairment is likely due to permafrost thaw. Thawing permafrost can foster chemical weathering of minerals, microbial reduction of soil iron, and groundwater transport of metals to streams. Compared to clear reference streams, orange streams have lower pH, higher turbidity, and higher sulfate, iron, and trace metal concentrations, supporting sulfide mineral weathering as a primary mobilization process. Stream discoloration was associated with dramatic declines in macroinvertebrate diversity and fish abundance. These findings have considerable implications for drinking water supplies and subsistence fisheries in rural Alaska.

","language":"English","publisher":"Nature","doi":"10.1038/s43247-024-01446-z","usgsCitation":"O’Donnell, J.A., Carey, M.P., Koch, J.C., Baughman, C., Hill, K., Zimmerman, C.E., Sullivan, P., Dial, R.J., Lyons, T., Cooper, D.J., and Poulin, B., 2024, Metal mobilization from thawing permafrost to aquatic ecosystems is driving rusting of Arctic streams: Communications Earth and Environment, v. 5, 268, 10 p., https://doi.org/10.1038/s43247-024-01446-z.","productDescription":"268, 10 p.","ipdsId":"IP-154763","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":439568,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-024-01446-z","text":"Publisher Index Page"},{"id":434958,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90B3QO0","text":"USGS data release","linkHelpText":"Macroinvertebrates from Rivers in Northwest Alaska, 2015-2019"},{"id":434957,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TP9TZH","text":"USGS data release","linkHelpText":"Estimates of Iron Mineralization in Select Reaches of Three Alaska Arctic Rivers Derived from Historical Landsat Imagery"},{"id":429441,"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 -166.638167318411,\n 63.92821641745104\n ],\n [\n -138.89819461471245,\n 63.92821641745104\n ],\n [\n -138.89819461471245,\n 71.52712798000314\n ],\n [\n -166.638167318411,\n 71.52712798000314\n ],\n [\n -166.638167318411,\n 63.92821641745104\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":901917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":901918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":901919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":901920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Kenneth","contributorId":244049,"corporation":false,"usgs":false,"family":"Hill","given":"Kenneth","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":901921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":901922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sullivan, Patrick F.","contributorId":243097,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick F.","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":901923,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dial, Roman J.","contributorId":267274,"corporation":false,"usgs":false,"family":"Dial","given":"Roman","email":"","middleInitial":"J.","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":901924,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lyons, Timothy J.","contributorId":332452,"corporation":false,"usgs":false,"family":"Lyons","given":"Timothy J.","affiliations":[{"id":79465,"text":"University of Florida/IFAS and New Mexico Biopark Society","active":true,"usgs":false}],"preferred":false,"id":901925,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cooper, David J.","contributorId":196510,"corporation":false,"usgs":false,"family":"Cooper","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13017,"text":"Department of Forest and Rangeland Stewardship, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":901926,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":901927,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70255722,"text":"70255722 - 2024 - Geographic drivers of mercury entry into aquatic food webs revealed by mercury stable isotopes in dragonfly larvae","interactions":[],"lastModifiedDate":"2024-08-13T14:35:31.585952","indexId":"70255722","displayToPublicDate":"2024-05-20T06:36:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Geographic drivers of mercury entry into aquatic food webs revealed by mercury stable isotopes in dragonfly larvae","docAbstract":"

Atmospheric mercury (Hg) emissions and subsequent transport and deposition are major concerns within protected lands, including national parks, where Hg can bioaccumulate to levels detrimental to human and wildlife health. Despite this risk to biological resources, there is limited understanding of the relative importance of different Hg sources and delivery pathways within protected regions. Here, we used Hg stable isotope measurements of a single aquatic bioindicator, dragonfly larvae, to determine if these tracers can resolve spatial patterns in Hg sources, delivery mechanisms, and aquatic cycling at a national scale. Mercury isotope values in dragonfly tissues varied among habitat types (e.g., lentic, lotic, wetland) and geographic location. Photochemical-derived isotope fractionation was habitat-dependent and influenced by factors that impact light penetration directly or indirectly, including dissolved organic matter, canopy cover, and total phosphorus. Strong patterns for Δ200Hg emerged in the western US, highlighting the relative importance of wet deposition sources in arid regions in contrast to dry deposition delivery in forested regions. This work highlights the efficacy of dragonfly larvae as biosentinels for Hg isotope studies due to their ubiquity across freshwater ecosystems and ability to track variation in Hg sources and processing attributed to small-scale habitat and large-scale regional patterns.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c02436","usgsCitation":"Janssen, S., Kotalik, C.J., Willacker, J., Tate, M., Flanagan-Pritz, C., Nelson, S., Krabbenhoft, D.P., Walters, D., and Eagles-Smith, C., 2024, Geographic drivers of mercury entry into aquatic food webs revealed by mercury stable isotopes in dragonfly larvae: Environmental Science and Technology, v. 58, no. 30, p. 13444-13455, https://doi.org/10.1021/acs.est.4c02436.","productDescription":"12 p.","startPage":"13444","endPage":"13455","ipdsId":"IP-154885","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439569,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c02436","text":"Publisher Index Page"},{"id":430710,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"30","noUsgsAuthors":false,"publicationDate":"2024-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kotalik, Christopher James 0000-0001-6739-6036","orcid":"https://orcid.org/0000-0001-6739-6036","contributorId":301847,"corporation":false,"usgs":true,"family":"Kotalik","given":"Christopher","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":905441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":221744,"corporation":false,"usgs":true,"family":"Willacker","given":"James","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":905442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flanagan-Pritz, Colleen M","contributorId":207882,"corporation":false,"usgs":false,"family":"Flanagan-Pritz","given":"Colleen M","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":905444,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Sarah","contributorId":167199,"corporation":false,"usgs":false,"family":"Nelson","given":"Sarah","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":905445,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905446,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205921,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":905447,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":905448,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70254219,"text":"70254219 - 2024 - To mix or not to mix: Details of magma storage, recharge, and remobilization during the Pacheco stage at Misti Volcano, Peru (≤21–2 ka)","interactions":[],"lastModifiedDate":"2024-06-18T13:57:48.36313","indexId":"70254219","displayToPublicDate":"2024-05-18T11:31:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"To mix or not to mix: Details of magma storage, recharge, and remobilization during the Pacheco stage at Misti Volcano, Peru (≤21–2 ka)","docAbstract":"

We investigate ten of the most recent tephra-fall deposits emplaced between ≤21–2 ka from the Pacheco stage of Misti volcano, Peru, to elucidate magma dynamics and explosive eruption triggers related to magma storage, recharge, and remobilization. Whole-rock, glass, and mineral textures and compositions indicate the presence of broadly felsic, intermediate, and mafic magmas in a chemically and thermally stratified magma storage system (Zones 1–3) that interact to differing extents prior to eruption. Intermediate magmas are defined by plagioclase + amphibole + two-pyroxenes + Fe-Ti oxides and phase equilibria indicate they formed at ~300–600 MPa and ~950–1000 °C. Intermediate magmas dominate the Pacheco stage and either erupted alone as hybridized magmas or mingled with minor volumes of cool felsic magmas (~800 °C) in which only plagioclase + Fe-Ti oxides are stable. Felsic magmas do not exclusively comprise any tephra-fall deposit emplaced during the Pacheco stage but were remobilized by recharge and mixing with intermediate magmas in order to erupt. Furthermore, felsic-hosted amphibole cognate to the intermediate magmas are reacted despite the felsic magmas being water saturated, which suggests they are staged above the amphibole stability limit (≤200 MPa). The cryptic presence of mafic magmas is indicated by high-An plagioclase cores (An74–88), rare anhedral olivine (Fo77–80), and possibly high Mg# augite and amphibole (up to Mg# 84 and 77, respectively). The dearth of basalt to basaltic andesite melts recorded in erupted glasses and exclusivity of high-An plagioclase to crystal cores signals mafic magmas are staged deeper in the crust than the intermediate magmas. Periodic interactions between these magmas tracked via glass compositions and crystal exchange reveal an alternation between the production of mingled magmas and their eruption shortly after a recharge event, followed by a period of homogenization and eruption of hybridized magmas. As such, we identify magma recharge as a key mechanism by which half of the explosive eruptions were triggered in the Pacheco stage. A >100 °C increase in Misti’s fumarole temperatures from 1967 to 2018 coincident with changes in fumarolic gas composition is consistent with degassing of a mafic recharge magma, signaling that Misti could produce similar explosive eruptions in the future.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/petrology/egae050","usgsCitation":"Takach, M.K., Tepley, F.J., Harpel, C., Aguilar, R., and Rivera, M., 2024, To mix or not to mix: Details of magma storage, recharge, and remobilization during the Pacheco stage at Misti Volcano, Peru (≤21–2 ka): Journal of Petrology, v. 65, no. 6, egse050, 27 p., https://doi.org/10.1093/petrology/egae050.","productDescription":"egse050, 27 p.","ipdsId":"IP-153038","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":439572,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egae050","text":"Publisher Index Page"},{"id":434959,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XAY8WD","text":"USGS data release","linkHelpText":"Geochemical data for the Pacheco stage tephra-fall deposits from Misti volcano, Arequipa, Peru"},{"id":428844,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","otherGeospatial":"Misti Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.3199980846973,\n -16.21886271090787\n ],\n [\n -71.55295001118235,\n -16.21886271090787\n ],\n [\n -71.55295001118235,\n -16.37617235938167\n ],\n [\n -71.3199980846973,\n -16.37617235938167\n ],\n [\n -71.3199980846973,\n -16.21886271090787\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"65","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Takach, Marie K.","contributorId":304046,"corporation":false,"usgs":false,"family":"Takach","given":"Marie","email":"","middleInitial":"K.","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":900651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tepley, Frank J.","contributorId":333855,"corporation":false,"usgs":false,"family":"Tepley","given":"Frank","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":900652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harpel, Christopher 0000-0001-8587-7845","orcid":"https://orcid.org/0000-0001-8587-7845","contributorId":204746,"corporation":false,"usgs":true,"family":"Harpel","given":"Christopher","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":900653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aguilar, Rigoberto","contributorId":252547,"corporation":false,"usgs":false,"family":"Aguilar","given":"Rigoberto","affiliations":[{"id":50431,"text":"Observatorio Vulcanologico del Instituto Geologico, Minero y Metalurgico del Peru","active":true,"usgs":false}],"preferred":false,"id":900654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rivera, Marco","contributorId":190926,"corporation":false,"usgs":false,"family":"Rivera","given":"Marco","email":"","affiliations":[],"preferred":false,"id":900655,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270815,"text":"70270815 - 2024 - Greenness and actual evapotranspiration in the unrestored riparian corridor of the Colorado River Delta in response to in-channel water deliveries in 2021 and 2022","interactions":[],"lastModifiedDate":"2025-08-25T14:35:17.891197","indexId":"70270815","displayToPublicDate":"2024-05-18T09:30:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Greenness and actual evapotranspiration in the unrestored riparian corridor of the Colorado River Delta in response to in-channel water deliveries in 2021 and 2022","docAbstract":"

Natural resource managers may utilize remotely sensed data to monitor vegetation within their decision-making frameworks for improving habitats. Under binational agreements between the United States and Mexico, seven reaches were targeted for riparian habitat enhancement. Monitoring was carried out using Landsat 8 16-day intervals of the two-band enhanced vegetation index 2 (EVI2) for greenness and actual evapotranspiration (ETa). In-channel water was delivered in 2021 and 2022 at four places in Reach 4. Three reaches (Reaches 4, 5 and 7) showed no discernable difference in EVI2 from reaches that did not receive in-channel water (Reaches 1, 2, 3 and 6). EVI2 in 2021 was higher than 2020 in all reaches except Reach 3, and EVI2 in 2022 was lower than 2021 in all reaches except Reach 7. ET(EVI2) was higher in 2020 than in 2021 and 2022 in all seven reaches; it was highest in Reach 4 (containing restoration sites) in all years. Excluding restoration sites, compared with 2020, unrestored reaches showed that EVI2 minimally increased in 2021 and 2022, while ET(EVI2) minimally decreased despite added water in 2021–2022. Difference maps comparing 2020 (no-flow year) to 2021 and 2022 (in-channel flows) reveal areas in Reaches 5 and 7 where the in-channel flows increased greenness and ET(EVI2).

","language":"English","publisher":"MDPI","doi":"10.3390/rs16101801","usgsCitation":"Nagler, P.L., Sall, I., Gomez-Sapiens, M., Barreto-Muñoz, A., Jarchow, C.J., Flessa, K.W., and Didan, K., 2024, Greenness and actual evapotranspiration in the unrestored riparian corridor of the Colorado River Delta in response to in-channel water deliveries in 2021 and 2022: Remote Sensing, v. 16, no. 10, 1801, 36 p., https://doi.org/10.3390/rs16101801.","productDescription":"1801, 36 p.","ipdsId":"IP-159485","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16101801","text":"Publisher Index Page"},{"id":494727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Colorado River and Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.70373688763536,\n 32.71761400400064\n ],\n [\n -114.91753138575248,\n 32.615612719042275\n ],\n [\n -115.12542877690827,\n 32.29643421023498\n ],\n [\n -115.29207031009817,\n 32.062671657105\n ],\n [\n -114.77701945034427,\n 31.29475716550462\n ],\n [\n -114.11333757418808,\n 31.39877597118165\n ],\n [\n -114.7621430899238,\n 32.2396086059703\n ],\n [\n -114.70373688763536,\n 32.71761400400064\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sall, Ibrahima 0000-0002-7526-636X","orcid":"https://orcid.org/0000-0002-7526-636X","contributorId":251750,"corporation":false,"usgs":false,"family":"Sall","given":"Ibrahima","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":947108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gomez-Sapiens, Martha","contributorId":195954,"corporation":false,"usgs":false,"family":"Gomez-Sapiens","given":"Martha","email":"","affiliations":[],"preferred":false,"id":947109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barreto-Muñoz, Armando","contributorId":239891,"corporation":false,"usgs":false,"family":"Barreto-Muñoz","given":"Armando","affiliations":[{"id":48028,"text":"University of Arizona, Biosystems Engineering, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":947111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jarchow, Christopher J.","contributorId":360495,"corporation":false,"usgs":false,"family":"Jarchow","given":"Christopher","middleInitial":"J.","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":947112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flessa, Karl W.","contributorId":175308,"corporation":false,"usgs":false,"family":"Flessa","given":"Karl","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":947110,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Didan, Kamel","contributorId":292780,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":947113,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70254357,"text":"70254357 - 2024 - Debris-flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path","interactions":[],"lastModifiedDate":"2024-08-26T14:47:16.951609","indexId":"70254357","displayToPublicDate":"2024-05-18T06:42:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Debris-flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path","docAbstract":"

Debris-flow volumes can increase along their flow path by entraining sediment stored in the channel bed and banks, thus also increasing hazard potential. Theoretical considerations, laboratory experiments and field investigations all indicate that the saturation conditions of the sediment along the flow path can greatly influence the amount of sediment entrained. However, this process is usually not considered for practical applications. This study aims to close this gap by combining runout and hydrological models into a predictive framework that is calibrated and tested using unique observations of sediment erosion and debris-flow properties available at a Swiss debris-flow observation station (Illgraben). To this end, hourly water input to the erodible channel is predicted using a simple, process-based hydrological model, and the resulting water saturation level in the upper sediment layer of the channel is modelled based on a Hortonian infiltration concept. Debris-flow entrainment is then predicted using the RAMMS debris-flow runout model. We find a strong correlation between the modelled saturation level of the sediment on the flow path and the channel-bed erodibility for single-surge debris-flow events with distinct fronts, indicating that the modelled water content is a good predictor for erosion simulated in RAMMS. Debris-flow properties with more complex flow behaviour (e.g., multiple surges or roll waves) are not as well predicted using this procedure, indicating that more physically complete models are necessary. Finally, we demonstrate how this modelling framework can be used for climate change impact assessment and show that earlier snowmelt may shift the peak of the debris-flow season to earlier in the year. Our novel modelling framework provides a plausible approach to reproduce saturation-dependent entrainment and thus better constrain event volumes for current and future hazard assessment.

","language":"English","publisher":"Wiley","doi":"10.1002/esp.5868","usgsCitation":"Konz, A., Hirschberg, J., McArdell, B., Mirus, B., de Haas, T., Bartelt, P., and Molnar, P., 2024, Debris-flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path: Earth Surface Processes and Landforms, v. 49, no. 10, p. 2950-2964, https://doi.org/10.1002/esp.5868.","productDescription":"15 p.","startPage":"2950","endPage":"2964","ipdsId":"IP-160755","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":428971,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Switzerland","otherGeospatial":"Illgraben basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 7.652483287223134,\n 46.32678303543372\n ],\n [\n 7.537233437603618,\n 46.32678303543372\n ],\n [\n 7.537233437603618,\n 46.23357809889305\n ],\n [\n 7.652483287223134,\n 46.23357809889305\n ],\n [\n 7.652483287223134,\n 46.32678303543372\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Konz, Anna","contributorId":336794,"corporation":false,"usgs":false,"family":"Konz","given":"Anna","email":"","affiliations":[{"id":80865,"text":"WSL, ETH","active":true,"usgs":false}],"preferred":false,"id":901070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirschberg, Jacob","contributorId":336795,"corporation":false,"usgs":false,"family":"Hirschberg","given":"Jacob","affiliations":[{"id":80865,"text":"WSL, ETH","active":true,"usgs":false}],"preferred":false,"id":901071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McArdell, Brian","contributorId":336796,"corporation":false,"usgs":false,"family":"McArdell","given":"Brian","affiliations":[{"id":80280,"text":"WSL","active":true,"usgs":false}],"preferred":false,"id":901072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":901073,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Haas, Tjalling","contributorId":336830,"corporation":false,"usgs":false,"family":"de Haas","given":"Tjalling","affiliations":[],"preferred":false,"id":901140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartelt, Perry","contributorId":336797,"corporation":false,"usgs":false,"family":"Bartelt","given":"Perry","affiliations":[{"id":80867,"text":"SLF","active":true,"usgs":false}],"preferred":false,"id":901074,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Molnar, Peter","contributorId":336798,"corporation":false,"usgs":false,"family":"Molnar","given":"Peter","affiliations":[{"id":80868,"text":"ETH","active":true,"usgs":false}],"preferred":false,"id":901075,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}