Lake Ontario lake trout (Salvelinus namaycush) rehabilitation has been annually assessed with fishery independent surveys since 1983, to evaluate program benchmarks and compare observations with management objectives. These surveys provide information on the abundance, strain composition, and condition of the adult lake trout stock, as well as information on levels of natural recruitment, sea lamprey (Petromyzon marinus) wounding rates, and abundance indices of other coldwater fish species (burbot Lota lota, cisco Coregonus artedi, and lake whitefish C. clupeaformis). In 2023, the catch per unit effort (CPUE) of total lake trout in gillnets was notably lower (12.1 fish/net) compared to recent survey years 2018–2022 (average = 17.3 ± 1.0 SD fish/net). CPUE of mature females fell below target levels. Wildproduced mature lake trout remain rare in the adult population (1.0% of adult catch). Strain composition of stocked fish indicated approximately half (51%) of all coded wire tagged lake trout captured in 2023 were from the Superior Klondike strain. Sea lamprey wounding rates decreased in 2023 and were near the target level (2.09 A1 wounds per 100 lake trout). Lake trout condition (predicted weight at length) remains high. Overall, the 2023 survey results suggest that lake trout indicators continue to meet some of the management objectives, however, recruitment of wild-produced offspring to the adult stock continues to be limited, and abundance of stocked fish may be decreasing relative to recent years in response to reduced stocking levels.
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the U.S. Geological Survey (USGS) mapped Quaternary surficial deposits of the five islands comprising Channel Islands National Park (CHIS), California, as no such maps previously existed. Mapping was motivated through an agreement with the National Park Service (NPS) to aid natural resource assessments, including post-grazing disturbance recovery and identification of mass wasting and tectonic hazards. The resulting detailed (1:12,000 scale) maps portray areas of upland erosional transport processes and alluvial, fluvial, eolian, beach, marine terrace, mass wasting, and mixed depositional processes at a scale commensurate with the process signal on the landscape. Detailed, GPS-located observations of sedimentology, pedogenic development, landscape position, and geomorphology constrain map unit identification. In addition, map-unit boundary delineation was determined in a GIS using a variety of high-resolution (sub-meter) aerial imagery and lidar-based DEMs complemented by derivative raster products. The GIS geodatabase schema used is GeMS compliant. Resolvable map-unit widths are as small as 10-15 meter. Locational accuracy of unit boundaries is estimated to be as low as 10 m or better. Detailed mapping is at a scale allowing determination of geomorphic transport processes operating on the landscape and conveys geologic information to land managers at a resolution commensurate with park resources. Map unit ages are constrained by relative soil chronostratigraphy, vertebrate and invertebrate fossils, and materials collected for dating control using radiogenic, luminescence, and cosmogenic radionuclide techniques. Associated topical studies examined connections between geology, surface water, and vegetation distribution and restoration.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic mapping forum 23/24 abstracts;, Minnesota Geological Survey Open File Report OFR-24-2","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"Schmidt, K., Minor, S.A., and McEachern, K., 2024, Using surficial geologic maps, vegetation, and monitoring to address erosion impacts from grazing in Channel Islands National Park, California, in Geologic mapping forum 23/24 abstracts;, Minnesota Geological Survey Open File Report OFR-24-2, p. 47-49.","productDescription":"3 p.","startPage":"47","endPage":"49","ipdsId":"IP-161165","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":433284,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/263584","linkFileType":{"id":5,"text":"html"}},{"id":433298,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.96667530938718,\n 33.45538363536106\n ],\n [\n -119.30736396721716,\n 34.12663308256873\n ],\n [\n -120.68925841077544,\n 34.12029527315251\n ],\n [\n -120.56293565000705,\n 33.8123420796459\n ],\n [\n -119.04323455833757,\n 33.423440475929695\n ],\n [\n -118.96667530938718,\n 33.45538363536106\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Kevin 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":200618,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","affiliations":[],"preferred":true,"id":911825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minor, Scott A. 0000-0002-6976-9235 sminor@usgs.gov","orcid":"https://orcid.org/0000-0002-6976-9235","contributorId":765,"corporation":false,"usgs":true,"family":"Minor","given":"Scott","email":"sminor@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":911826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":911827,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70255676,"text":"70255676 - 2024 - Surficial geology and Quaternary fault map of the Las Vegas Valley, Clark County, Nevada","interactions":[],"lastModifiedDate":"2024-06-28T13:28:34.382957","indexId":"70255676","displayToPublicDate":"2024-06-01T08:22:22","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":17988,"text":"Map","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"193","title":"Surficial geology and Quaternary fault map of the Las Vegas Valley, Clark County, Nevada","docAbstract":"The Surficial Geology and Quaternary Fault Map of the Las Vegas Valley, Clark County, Nevada is a 1:50,000-scale compilation of published 1:24,000-scale geologic maps integrated with new field and desktop mapping. This geologic map compilation and GIS database are part of a broader study on the Quaternary faults in the Las Vegas Valley, the results of which are summarized in this report. The map compilation utilized a variety of digital base maps to evaluate the characteristics of surficial deposits and Quaternary fault scarps including lidar data in undeveloped parts of the valley and orthorectified historical aerial photos in the urbanized center of the valley. The map distinguishes twenty surficial map units including alluvial-fan and ephemeral-wash deposits, groundwater discharge deposits of the Las Vegas Formation, and alluvium deposits of Las Vegas Wash. Quaternary faults include the Quaternary Las Vegas Valley fault system in the center of the valley and the Frenchman Mountain fault system along the eastern margin. All Quaternary fault traces in the valley were evaluated, and the previously published fault mapping was modified as needed. The new mapping and uniform correlation of surficial deposits displaced by Quaternary faults yields a consistent valley-wide characterization of the recency of fault activity. The map and GIS database include a Quaternary geochronology compilation of 119 previously published surficial deposit ages of various types, 35 new luminescence ages, and 3 new radiocarbon ages. The new age data further bracket the ages of the Las Vegas basin Quaternary stratigraphy and provide new constraints on the timing of Quaternary fault activity.
To effectively maximize the conservation value of management plans intended to capture ecosystem-wide health, it is essential to obtain an understanding of emergent patterns in dietary dynamics spanning many species. Chesapeake Bay, USA, is a critical ecosystem used annually by a diverse assortment of waterbird species, including several of conservation concern. However, the ecosystem is threatened by many ecological pressures driven largely by the dense human population of the surrounding region. These issues necessitate proactive monitoring and management efforts to track the health of ecosystems like the Chesapeake Bay. Such monitoring efforts of population dynamics require adequate data on the connections between trophic levels to understand how changes to the forage base might influence higher trophic levels, such as these diverse avian predators. However, we have historically lacked standardized quantitative data drawing these connections at the community level, as well as the relative importance of these taxa in the diet of such predators. We collated existing quantitative data on avian dietary composition to construct a database on the diets of 58 waterbird species that make use of the Chesapeake Bay. From this database, we quantified the relative importance of forage taxa to the diet of each waterbird species. Such data can enable managers to develop a comprehensive suite of forage taxa indicators whose abundance and distributions can be monitored as a proxy for ecosystem health. It is our goal that this database be harnessed as a tool to enable conservation practitioners to prioritize indicator taxa for monitoring purposes, contributing towards conservation plans that best address the health of the ecosystem at large.
","language":"English","publisher":"Allen Press","doi":"10.3996/jfwm-23-017","usgsCitation":"Hack, M., Sullivan, J.D., Kent, C.M., and Prosser, D., 2024, Identifying the forage base and critical forage taxa for Chesapeake waterbirds: Journal of Fish and Wildlife Management, v. 15, no. 1, p. 164-174, https://doi.org/10.3996/jfwm-23-017.","productDescription":"11 p.","startPage":"164","endPage":"174","ipdsId":"IP-151738","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":429631,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":439468,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-23-017","text":"Publisher Index Page"}],"country":"United States","state":"Delaware, Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.96079553182784,\n 39.59556018695497\n ],\n [\n -76.96079553182784,\n 36.77431286315145\n ],\n [\n -75.58436805301858,\n 36.77431286315145\n ],\n [\n -75.58436805301858,\n 39.59556018695497\n ],\n [\n -76.96079553182784,\n 39.59556018695497\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hack, Matthew","contributorId":304036,"corporation":false,"usgs":false,"family":"Hack","given":"Matthew","email":"","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":902440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":902441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kent, Cody M.","contributorId":265823,"corporation":false,"usgs":false,"family":"Kent","given":"Cody","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":902442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":902443,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254549,"text":"fs20243020 - 2024 - Preparing for today's and tomorrow's water-resources challenges in eastern Long Island, New York","interactions":[],"lastModifiedDate":"2026-01-27T17:59:21.311785","indexId":"fs20243020","displayToPublicDate":"2024-05-31T14:50:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3020","displayTitle":"Preparing for Today’s and Tomorrow’s Water-Resources Challenges in Eastern Long Island, New York","title":"Preparing for today's and tomorrow's water-resources challenges in eastern Long Island, New York","docAbstract":"Freshwater is a vital natural resource. Although New York is a water-rich State, the wise and economical use of water resources is needed to ensure that there is enough water of adequate quality for both human and ecological needs—both for today and for tomorrow. Nowhere in New York is this more evident than in Nassau and Suffolk Counties on Long Island, where the public water supply is obtained from the sole-source aquifers located directly beneath the nearly 3 million people who live there. In 2023, in eastern Long Island’s Suffolk County, groundwater was pumped from these aquifers by more than 1,100 public water-supply wells to meet the needs of about 1.5 million people.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243020","usgsCitation":"Busciolano, R., Masterson, J.P., and Breault, R.F., 2024, Preparing for today's and tomorrow's water-resources challenges in eastern Long Island, New York: U.S. Geological Survey Fact Sheet 2024–3020, 4 p, https://doi.org/10.3133/fs20243020.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-159310","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":499120,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117022.htm","linkFileType":{"id":5,"text":"html"}},{"id":429414,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3020/images/"},{"id":429413,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3020/fs20243020.XML","description":"FS 2024-3020 XML"},{"id":429412,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/preview/fs20243020/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3020 HTML"},{"id":429411,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3020/fs20243020.pdf","text":"Report","size":"7.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3020 PDF"},{"id":429410,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3020/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Eastern Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.83572116941806,\n 41.300324426166355\n ],\n [\n -73.75841138864145,\n 41.300324426166355\n ],\n [\n -73.75841138864145,\n 40.352594259179654\n ],\n [\n -71.83572116941806,\n 40.352594259179654\n ],\n [\n -71.83572116941806,\n 41.300324426166355\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Species Management Research Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Previous work found that numerous genes positively selected within the hoary bat (Lasiurus cinereus) lineage are physically clustered in regions of conserved synteny. Here I further validate and expand on those finding utilizing an updated L. cinereus genome assembly and additional bat species as well as other tetrapod outgroups.
A chromosome-level assembly was generated by chromatin-contact mapping and made available by DNAZoo (www.dnazoo.org). The genomic organization of orthologous genes was extracted from annotation data for multiple additional bat species as well as other tetrapod clades for which chromosome-level assemblies were available from the National Center for Biotechnology Information (NCBI). Tests of branch-specific positive selection were performed for L. cinereus using PAML as well as with the HyPhy package for comparison.
Twelve genes exhibiting significant diversifying selection in the L. cinereus lineage were clustered within a 12-Mb genomic window; one of these (Trpc4) also exhibited diversifying selection in bats generally. Ten of the 12 genes are landmarks of two distinct blocks of ancient synteny that are not linked in other tetrapod clades. Bats are further distinguished by frequent structural rearrangements within these synteny blocks, which are rarely observed in other Tetrapoda. Patterns of gene order and orientation among bat taxa are incompatible with phylogeny as presently understood, implying parallel evolution or subsequent reversals. Inferences of positive selection were found to be robust to alternative phylogenetic topologies as well as a strong shift in background nucleotide composition in some taxa.
This study confirms and further localizes a genomic hotspot of protein-coding divergence in the hoary bat, one that also exhibits an increased tempo of structural change in bats compared with other mammals. Most genes in the two synteny blocks have elevated expression in brain tissue in humans and model organisms, and genetic studies implicate the selected genes in cranial and neurological development, among other functions.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.17482","usgsCitation":"Cornman, R.S., 2024, A genomic hotspot of diversifying selection and structural change in the hoary bat (Lasiurus cinereus): PeerJ, v. 12, e17482, 32 p., https://doi.org/10.7717/peerj.17482.","productDescription":"e17482, 32 p.","ipdsId":"IP-159824","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439470,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.17482","text":"Publisher Index Page"},{"id":434952,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1YKF5BJ","text":"USGS data release","linkHelpText":"DNA sequences used to analyze evolutionary rates of genes in bats"},{"id":429444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901903,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70256585,"text":"70256585 - 2024 - Broad-scale changes in lesser prairie-chicken habitat","interactions":[],"lastModifiedDate":"2025-02-07T17:39:47.826731","indexId":"70256585","displayToPublicDate":"2024-05-31T06:51:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Broad-scale changes in lesser prairie-chicken habitat","docAbstract":"Lesser prairie-chicken (Tympanuchus pallidicinctus) populations of in the Sand Sagebrush Prairie Ecoregion of southwest Kansas and southeast Colorado, USA, have declined sharply since the mid-1980s. Decreased quality and availability of habitat are believed to be the main drivers of declines. Our objective was to reconstruct broad-scale change in the ecoregion since 1985 as a potential factor in population declines. We assessed temporal change from 1985–2015 in landcover types and calculated landscape metrics using Land Change Monitoring, Assessment, and Projection imagery layers. We also documented presence of anthropogenic structures including oil wells and electrical transmission lines. Landcover type composition changed little since 1990 across the Sand Sagebrush Prairie Ecoregion. However, anthropogenic structures (i.e., oil/gas wells, cell towers, wind farms, and transmission lines) notably increased, potentially causing functional habitat loss at a broad scale. Increased anthropogenic structures may have decreased habitat availability as well as the quality of existing habitat for lesser prairie-chickens, possibly contributing to recent population declines throughout the Sand Sagebrush Prairie Ecoregion.
Groundwater flow between 2014 through 2040 was simulated in the New Jersey Coastal Plain based on three withdrawal scenarios. Two of the scenarios were based on projected population trends and the assumption of water conservation; the nominal water-loss scenario projected a status quo in the efficiency of water loss in the delivery systems whereas the optimal water-loss scenario projected a better water-loss efficiency resulting in less withdrawals. The third scenario assumes that all wells will withdraw water at their full allocation level which is generally much more than reported withdrawals in 2013 or projected under the other two scenarios.
Maps and summaries of heads and drawdowns are presented for nine confined aquifers. All the aquifers have areas with heads below sea level by 2040. Of the three scenarios, the drawdowns are most extreme in the full allocation scenarios; there are large areas of head decline greater than 20 feet in 5 of the 9 confined aquifers. The exceptions are the Vincentown aquifer, despite some areas of large drawdown in the vicinity of wells, and the three Potomac-Raritan-Magothy (PRM) aquifers where withdrawals are regulated by Critical Area restrictions. The nominal and optimal water-loss scenarios have some areas of head declines; most are less than 15 feet. The simulation of these scenarios shows some extensive areas of head recovery as well—especially in the aquifers that are regulated by the Critical Area restrictions.
Budgets of inflow and outflow components were calculated for 44 hydrologic budget areas (HBAs). The budget analysis shows that the water movement is complex and varies based on the aquifer geometry and location of pumping wells. Flow components between the unconfined and confined parts of the system were summarized by HUC11 (hydrologic unit code 11) basins.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245028","collaboration":"Prepared in cooperation with New Jersey Department of Environmental Protection","usgsCitation":"Kauffman, L.J., 2024, Simulated effects of projected 2014–40 withdrawals on groundwater flow and water levels in the New Jersey Coastal Plain: U.S. Geological Survey Scientific Investigations Report 2024–5028, 149 p., https://doi.org/10.3133/sir20245028.","productDescription":"Report: x, 149 p.; Data Release","numberOfPages":"149","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-149036","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":429259,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5028/sir20245028.XML","description":"SIR 2024-5028 XML"},{"id":429258,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245028/full","description":"SIR 2024-5028 HTML"},{"id":429257,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5028/sir20245028.pdf","text":"Report","size":"45.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5028 PDF"},{"id":429256,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5028/coverthb.jpg"},{"id":499456,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117021.htm","linkFileType":{"id":5,"text":"html"}},{"id":429261,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JHGJA5","text":"USGS data release","linkHelpText":"MODFLOW-2005 model used to analyze water-use scenarios in the New Jersey Coastal Plain"},{"id":429260,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5028/images/"}],"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 -75.99277375585163,\n 38.68691666621089\n ],\n [\n -73.55380891210154,\n 38.68691666621089\n ],\n [\n -73.55380891210154,\n 40.54856979898429\n ],\n [\n -75.99277375585163,\n 40.54856979898429\n ],\n [\n -75.99277375585163,\n 38.68691666621089\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
3450 Princeton Pike
Suite 110
Lawrenceville, NJ 08648
In this paper, we provide new information on the stratigraphy and paleoflora of the Sheep Creek volcanic field in the Alaska Range that bolsters our understanding of a key interval in the tectonic, paleoclimate, and paleoenvironmental history of the northern Cordillera. Although the distribution and basic stratigraphy of these rocks have been previously reported, here we document the stratigraphic context of recently dated igneous rocks and paleosols ranging from the Paleocene–Eocene boundary to the early middle Eocene, describe a more complete fossil leaf flora from the succession, and place the Sheep Creek volcanic field in its regional tectonic context of ridge subduction and slab window migration in central Alaska.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814G","programNote":"Studies by the U.S. Geological Survey in Alaska, Volume 15","usgsCitation":"White, T., Sunderlin, D., and Bradley, D., 2024, Stratigraphy, paleoflora, and tectonic setting of the Paleogene Sheep Creek volcanic field, central Alaska, in Dumoulin, J.A., ed., Studies by the U.S. Geological Survey in Alaska, vol. 15: U.S. Geological Survey Professional Paper 1814–G, 14 p., https://doi.org/10.3133/pp1814G.","productDescription":"iv, 14 p.","numberOfPages":"14","onlineOnly":"Y","ipdsId":"IP-137732","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":429353,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1814/g/pp1814g.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":429352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1814/g/coverthb.jpg"},{"id":499271,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117019.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -144.60846974251015,\n 59.33672246912704\n ],\n [\n -144.60846974251015,\n 64.64567035100944\n ],\n [\n -157.52839161751018,\n 64.64567035100944\n ],\n [\n -157.52839161751018,\n 59.33672246912704\n ],\n [\n -144.60846974251015,\n 59.33672246912704\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Alaska Science Center staff
U.S. Geological Survey
4210 University Dr.
Anchorage, AK 99508
Alaska Mineral Resources
Alaska Science Center
Individual variation in movement strategies of foraging loggerhead turtles have been documented on the scale of tens to hundreds of kilometers within single ocean basins. Use of different strategies among individuals may reflect variations in resources, predation pressure or competition. It is less common for individual turtles to use different foraging strategies on the scale of kilometers within a single coastal bay. We used GPS tags capable of back-filling fine-scale locations to document movement patterns of loggerhead turtles in a coastal bay in Northwest Florida, U.S.A.
Iridium-linked GPS tags were deployed on loggerhead turtles at a neritic foraging site in Northwest Florida. After filtering telemetry data, point locations were transformed to movement lines and then merged with the original point file to define travel paths and assess travel speed. Home ranges were determined using kernel density function. Diurnal behavioral shifts were examined by examining turtle movements compared to solar time.
Of the 11 turtles tagged, three tracked turtles remained in deep (~ 6 m) water for almost the entire tracking period, while all other turtles undertook movements from deep water locations, located along edges and channels, to shallow (~ 1–2 m) shoals at regular intervals and primarily at night. Three individuals made short-term movements into the Gulf of Mexico when water temperatures dropped, and movement speeds in the Gulf were greater than those in the bay. Turtles exhibited a novel behavior we termed drifting.
This study highlighted the value provided to fine-scale movement studies for species such as sea turtles that surface infrequently by the ability of these GPS tags to store and re-upload data. Future use of these tags at other loggerhead foraging sites, and concurrent with diving and foraging data, would provide a powerful tool to better understand fine-scale movement patterns of sea turtles.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-024-00480-y","usgsCitation":"Lamont, M., Slone, D., Reid, J.P., Butler, S.M., and Alday, J.A., 2024, Deep vs shallow: GPS tags reveal a dichotomy in movement patterns of loggerhead turtles foraging in a coastal bay: Movement Ecology, v. 12, 40, 13 p.; Data Release, https://doi.org/10.1186/s40462-024-00480-y.","productDescription":"40, 13 p.; Data Release","ipdsId":"IP-162093","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439474,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-024-00480-y","text":"Publisher Index Page"},{"id":434953,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TCY7X","text":"USGS data release","linkHelpText":"Loggerhead Iridium Locations in Northwest Florida 2019-2021"},{"id":430015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"St. Joseph Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.62202950232283,\n 29.94378242941025\n ],\n [\n -85.58665120898003,\n 29.585759941204998\n ],\n [\n -84.96846208319513,\n 29.460191772100785\n ],\n [\n -85.35762330996906,\n 29.938135428200454\n ],\n [\n -85.62202950232283,\n 29.94378242941025\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":222403,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":903491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, Daniel 0000-0002-9903-9727","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":213750,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":903492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, James P. 0000-0002-8497-1132","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":206849,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":903493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, Susan M. 0000-0003-3676-9332 sbutler@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-9332","contributorId":195796,"corporation":false,"usgs":true,"family":"Butler","given":"Susan","email":"sbutler@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":903494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alday, Joseph A. 0000-0003-2275-5458","orcid":"https://orcid.org/0000-0003-2275-5458","contributorId":296688,"corporation":false,"usgs":true,"family":"Alday","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":903495,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255574,"text":"70255574 - 2024 - Fire effects on geomorphic processes","interactions":[],"lastModifiedDate":"2024-07-15T15:42:50.831134","indexId":"70255574","displayToPublicDate":"2024-05-30T10:07:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9136,"text":"Nature Reviews Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Fire effects on geomorphic processes","docAbstract":"Fire-induced geomorphic changes, such as enhanced erosion and debris-flow activity, are expected to increase with climate change owing to increases in fire activity and rainfall intensification. In this Review, we summarize how landscape attributes, rainfall and burn severity influence post-fire geomorphic responses over a range of temporal and spatial scales. Sub-hourly rainfall intensity and burn severity control the magnitude of many post-fire geomorphic process rates through their influence on ground cover and rainfall-runoff partitioning. Post-fire debris flows (PFDFs) make a substantial contribution to the post-fire sediment cascade, transporting sediment from hillslopes to channels, adjacent floodplains and alluvial fans. By the late twenty-first century, PFDF activity is estimated to increase in 68% of areas in which PFDFs have occurred in the past and decrease in only 2% of locations. Once altered by fire, geomorphic state variables — such as infiltration capacity, canopy cover, ground cover and sediment availability — can recover to their pre-fire value or be shifted to a new value. Improved understanding of the factors that influence these post-fire trajectories could support targeted management and intervention strategies. Additionally, monitoring that extends beyond the first 1–3 years after fire and deeper integration of ecohydrological processes into geomorphic models are needed to improve forecasts of post-fire geomorphic responses.
","language":"English","publisher":"Nature","doi":"10.1038/s43017-024-00557-7","usgsCitation":"McGuire, L., Ebel, B., Rengers, F.K., Vieira, D., and Nyman, P., 2024, Fire effects on geomorphic processes: Nature Reviews Earth and Environment, v. 5, p. 486-503, https://doi.org/10.1038/s43017-024-00557-7.","productDescription":"18 p.","startPage":"486","endPage":"503","ipdsId":"IP-154984","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":430449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2024-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"McGuire, Luke","contributorId":197027,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","affiliations":[],"preferred":false,"id":904796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":904797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":904798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vieira, Diana","contributorId":339659,"corporation":false,"usgs":false,"family":"Vieira","given":"Diana","email":"","affiliations":[{"id":81374,"text":"European Commission - Joint Research Center","active":true,"usgs":false}],"preferred":false,"id":904799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nyman, Petter","contributorId":187489,"corporation":false,"usgs":false,"family":"Nyman","given":"Petter","email":"","affiliations":[],"preferred":false,"id":904800,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264767,"text":"70264767 - 2024 - Characterizing sulfur redox state and geochemical implications in deep-time using mineral chemistry network analysis","interactions":[],"lastModifiedDate":"2025-03-24T14:56:35.828612","indexId":"70264767","displayToPublicDate":"2024-05-30T09:50:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing sulfur redox state and geochemical implications in deep-time using mineral chemistry network analysis","docAbstract":"Sulfur (S) is a central element in global biogeochemical cycling and Earth’s redox evolution. Minerals that contain S are an important record of local environmental conditions at the time of their formation based on chemical speciation and redox. However, the oxidation state of S for hundreds of different S-containing minerals and thousands of S-containing mineral localities is unknown, largely sulfides and sulfosalts, and the redox state alone does not fully capture mineral chemistry diversity, thus limiting understanding of S redox evolution. Here, we use mineral chemistry network analysis and the weighted Mineral Element Electronegativity Coefficient of Variation (wMEECV) metric to investigate the element interactions and localities of S-containing minerals from the Mineral Evolution Database (MED) to infer the redox state of S in minerals where the redox state is unknown (SU). Louvain community detection of the S mineral chemistry redox network reveals that there are three main network communities that are separated by redox state. The S6+ community includes minerals that contain the S6+ redox state and a small number of S4+ and S2+ minerals, the S2− community includes S2−-containing minerals, and the SU community includes minerals in which the redox state of S is unknown. The wMEECV values of the SU community closely overlap with the wMEECV values of the S2− community, and do not overlap with the wMEECV values of the S6+ community, indicating the SU community minerals contain predominately reduced S. Assuming that SU community minerals contain reduced S, as supported by their network chemical associations and wMEECV values, then reduced S-containing minerals make up approximately 81 % of S-containing mineral localities in the S mineral chemistry network, even though the majority of all mineral localities (S-containing and non-S-containing) are oxygen (O)-containing minerals. Additionally, reduced S-containing minerals make up the majority (∼75 %) of all non-O containing mineral localities in the MED, representing the importance of reduced S as an electron source and substrate in the evolution of microbial metabolic networks. The range wMEECV values of S6+ community minerals expands through time due primarily to formation of chemically diverse sulfate minerals, coinciding with crustal oxidation from the late Proterozoic to Phanerozoic and the expansion of the marine sulfate reservoir. The intersection of shared constituent elements among reduced and oxidized S in the mineral chemistry network represents redox convergence of weathered S in the geosphere that was crucial in the formation of natural resource deposits and the evolution of biogeochemical cycles.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2024.05.024","usgsCitation":"Moore, E.K., Diedolf, J., Morrison, S.M., and Hummer, D., 2024, Characterizing sulfur redox state and geochemical implications in deep-time using mineral chemistry network analysis: Geochimica et Cosmochimica Acta, v. 376, p. 25-36, https://doi.org/10.1016/j.gca.2024.05.024.","productDescription":"12 p.","startPage":"25","endPage":"36","ipdsId":"IP-153851","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":488370,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2024.05.024","text":"Publisher Index Page"},{"id":483712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"376","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Elisha Kelly 0000-0002-9750-7769","orcid":"https://orcid.org/0000-0002-9750-7769","contributorId":334043,"corporation":false,"usgs":true,"family":"Moore","given":"Elisha","email":"","middleInitial":"Kelly","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":931586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diedolf, Joseph IV","contributorId":352519,"corporation":false,"usgs":false,"family":"Diedolf","given":"Joseph","suffix":"IV","affiliations":[{"id":84250,"text":"Department of Environmental Science, School of Earth and the Environment, Rowan University, Glassboro, NJ, United States","active":true,"usgs":false}],"preferred":false,"id":931587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morrison, Shaunna M.","contributorId":261814,"corporation":false,"usgs":false,"family":"Morrison","given":"Shaunna","email":"","middleInitial":"M.","affiliations":[{"id":53026,"text":"Carnegie Institute for Science","active":true,"usgs":false}],"preferred":false,"id":931588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hummer, Daniel","contributorId":334048,"corporation":false,"usgs":false,"family":"Hummer","given":"Daniel","email":"","affiliations":[{"id":80056,"text":"School of Earth Systems and Sustainability, Southern Illinois University, Carbondale, Il, United States","active":true,"usgs":false}],"preferred":false,"id":931589,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254663,"text":"70254663 - 2024 - Formation and evolution of the Pacific-North American (San Andreas) plate boundary: Constraints from the crustal architecture of northern California","interactions":[],"lastModifiedDate":"2024-06-06T14:50:55.689614","indexId":"70254663","displayToPublicDate":"2024-05-30T09:46:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Formation and evolution of the Pacific-North American (San Andreas) plate boundary: Constraints from the crustal architecture of northern California","docAbstract":"The northward migration of the Mendocino triple junction (MTJ) drives a fundamental plate boundary transformation from convergence to translation; producing a series of strike-slip faults, that become the San Andreas plate boundary. We find that the 3-D structure of the Pacific plate lithosphere in the vicinity of the MTJ controls the location of San Andreas plate boundary formation. At the time of initiation of the Pacific-North America plate boundary (∼30 Ma), the sequential interaction with the western margin of North America of the Pioneer Fracture Zone, soon followed by the Mendocino Fracture Zone, led to the capture of a small segment of partially subducted Farallon lithosphere by the Pacific plate, termed the Pioneer Fragment (PF). Since that time, the PF has translated with the Pacific Plate along the western margin of North America. Recently developed, high-resolution seismic-tomographic imagery of northern California indicates that (a) the PF is extant, occupying the western half of the slab window, immediately south of the MTJ; (b) the eastern edge of the PF lies beneath the newly forming Maacama fault system, which develops to become the locus for the primary plate boundary structure after approximately 6–10 Ma; and (c) the location of the translating PF adjacent to the asthenosphere of the slab window generates a shear zone within and below the crust that develops into the plate boundary faults. As a result, the San Andreas plate boundary forms interior to the western margin of North America, rather than at its western edge.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023TC007963","usgsCitation":"Furlong, K.P., Villasenor, A., Benz, H.M., and McKenzie, K.A., 2024, Formation and evolution of the Pacific-North American (San Andreas) plate boundary: Constraints from the crustal architecture of northern California: Tectonics, v. 43, no. 6, e2023TC007963, 23 p., https://doi.org/10.1029/2023TC007963.","productDescription":"e2023TC007963, 23 p.","ipdsId":"IP-151540","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":439477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023tc007963","text":"Publisher Index Page"},{"id":429573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.8071147290406,\n 42.033195714112196\n ],\n [\n -125.8071147290406,\n 38.13155003327262\n ],\n [\n -122.14371876300378,\n 38.13155003327262\n ],\n [\n -122.14371876300378,\n 42.033195714112196\n ],\n [\n -125.8071147290406,\n 42.033195714112196\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Furlong, Kevin P. 0000-0002-2674-5110","orcid":"https://orcid.org/0000-0002-2674-5110","contributorId":19576,"corporation":false,"usgs":false,"family":"Furlong","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":902188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villasenor, Antonio","contributorId":335226,"corporation":false,"usgs":false,"family":"Villasenor","given":"Antonio","affiliations":[{"id":80350,"text":"Institut de Ciències del Mar, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":902189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":902190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenzie, Kirsty A. 0000-0001-6665-7812","orcid":"https://orcid.org/0000-0001-6665-7812","contributorId":337187,"corporation":false,"usgs":false,"family":"McKenzie","given":"Kirsty","email":"","middleInitial":"A.","affiliations":[{"id":16637,"text":"University of North Carolina, Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":902191,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269003,"text":"70269003 - 2024 - Effects of telemetry collars on two free-roaming feral equid species","interactions":[],"lastModifiedDate":"2025-07-14T14:23:23.292109","indexId":"70269003","displayToPublicDate":"2024-05-30T09:16:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Effects of telemetry collars on two free-roaming feral equid species","docAbstract":"There are two species of free-roaming feral equids in North America: horses (Equus caballus) and donkeys or “burros” (E. asinus). Both species were introduced as domestic animals to North America in the early 1500s and currently inhabit rangelands across the western United States, Canada, and all continents except Antarctica. Despite their global distribution, little is known about their fine scale spatial ecology. Contemporary research tools to assess space use include global positioning system (GPS) tracking collars, but older models were problematic due to stiff collar belting causing poor fit. We tested modern designs of GPS collars on n = 105 horses and n = 60 burros for 4 years in five populations (3 horse, 2 burro) across the western United States, to assess whether collars posed welfare risks to horses or burros. We found no difference in survival of collared versus uncollared mares and jennies, and no difference in survival of their foals. In 4036 of 4307 observations for horses (93.7%) and 2115 of 2258 observations for burros (93.6%), collars were observed symmetrical, maintaining proper fit on the neck. Fur effects from collars (sweaty neck, indented fur, broken fur) were seen in 3% of horse observations and 25% of burro observations. Superficial effects (chafes and marks on skin surface) were seen in 2% of horse observations and 11% of burro observations; no severe effects from collars were seen. Body condition was not affected by collars; mean body condition of collared horses was 4.70 ± 0.54 (mean ± s.d) and 4.71 ± 0.65 for collared burros. Behavior results indicated minimal effects; collared horses stood slightly more than uncollared, and collared burros stood and foraged more in one population, but not in the other. For 6.3% of observations of horses and 6.4% of observations of burros, we found an effect of time wearing a collar on the cumulative sum of fur effects which increased over time (burros: rs = 0.87, P = <0.0001; horses: rs = 0.31, P = 0.002). Burros also showed an increase over time in the number of superficial effects, but horses did not. Collars occasionally moved into the wrong position, shifting forward over the ears; we observed this on 19 horses and 1 burro. Of those, most collars went over the ears in summer (n = 12). All collars were equipped with a remote release mechanism as well as a timed-release mechanism for redundancy, thus removed when observed in wrong position to avoid rubbing or discomfort. Our finding of no consequential physical effects in 98% of horse observations, and 89% of burro observations suggests the consequences of collars on free-roaming equid welfare and survival is biologically insignificant, although collars should be monitored regularly and continue to be equipped with a remote release mechanism to remove a collar if needed. With frequent welfare-driven, visual monitoring, collaring of free-roaming equids can be a safe and useful tool to increase our understanding of their spatial ecology, demography, habitat use, behavior, and interactions with other wildlife.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0303312","usgsCitation":"Schoenecker, K., King, S., Hennig, J.D., Cole, M., Scasta, J., and Beck, J., 2024, Effects of telemetry collars on two free-roaming feral equid species: PLoS ONE, v. 19, no. 5, e0303312, 25 p., https://doi.org/10.1371/journal.pone.0303312.","productDescription":"e0303312, 25 p.","ipdsId":"IP-153889","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492801,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13ZSTSU","text":"USGS data release","linkHelpText":"Data Describing Effects of Telemetry Collars on Horses and Burros Between 2016 and 2020"},{"id":492486,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0303312","text":"Publisher Index Page"},{"id":492200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.06222303379008,\n 41.072757505190026\n ],\n [\n -107.36220051733886,\n 41.115245664294946\n ],\n [\n -107.40026474431968,\n 42.06499507596479\n ],\n [\n -110.54265920350724,\n 42.13895203896956\n ],\n [\n -113.98376776007635,\n 39.63181029788828\n ],\n [\n -113.82085343427966,\n 33.356188610084644\n ],\n [\n -109.78674675994066,\n 33.290579751792464\n ],\n [\n -109.06222303379008,\n 41.072757505190026\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sarah","contributorId":357927,"corporation":false,"usgs":false,"family":"King","given":"Sarah","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":942885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hennig, Jacob D.","contributorId":177569,"corporation":false,"usgs":false,"family":"Hennig","given":"Jacob","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":942886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Mary C.","contributorId":357931,"corporation":false,"usgs":false,"family":"Cole","given":"Mary C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":942887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scasta, J. Derek","contributorId":357933,"corporation":false,"usgs":false,"family":"Scasta","given":"J. Derek","affiliations":[{"id":85567,"text":"University of WY","active":true,"usgs":false}],"preferred":false,"id":942888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, Jeffrey L.","contributorId":357934,"corporation":false,"usgs":false,"family":"Beck","given":"Jeffrey L.","affiliations":[{"id":85567,"text":"University of WY","active":true,"usgs":false}],"preferred":false,"id":942889,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261201,"text":"70261201 - 2024 - Human activities shape global patterns of decomposition rates in rivers","interactions":[],"lastModifiedDate":"2024-11-29T15:16:46.375837","indexId":"70261201","displayToPublicDate":"2024-05-30T09:03:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Human activities shape global patterns of decomposition rates in rivers","docAbstract":"Rivers and streams contribute to global carbon cycling by decomposing immense quantities of terrestrial plant matter. However, decomposition rates are highly variable and large-scale patterns and drivers of this process remain poorly understood. Using a cellulose-based assay to reflect the primary constituent of plant detritus, we generated a predictive model (81% variance explained) for cellulose decomposition rates across 514 globally distributed streams. A large number of variables were important for predicting decomposition, highlighting the complexity of this process at the global scale. Predicted cellulose decomposition rates, when combined with genus-level litter quality attributes, explain published leaf litter decomposition rates with high accuracy (70% variance explained). Our global map provides estimates of rates across vast understudied areas of Earth and reveals rapid decomposition across continental-scale areas dominated by human activities.
","language":"English","publisher":"AAAS","doi":"10.1126/science.adn1262","usgsCitation":"Tiegs, S., Capps, K., Costello, D.M., Schmidt, J.P., Patrick, C., Follstad Shah, J., LeRoy, C.J., Acuna, V., Albarino, R., Allen, D., Alonso, C., Andino, P., Arango, C., Aroviita, J., Barbosa, M., Barmuta, L.A., Baxter, C., Bellinger, B., Boyero, L., Bragina, L., Brown, L.E., Bruder, A., Bruesewitz, D., Burdon, F., Callisto, M., Camacho, A.G., Canhoto, C., Castillo, M., Chauvet, E., Clapcott, J., Colas, F., Colon-Gaud, C., Cornut, J., Crespo-Perez, V., Cross, W., Culp, J.M., Danger, M., Dangles, O., de Eyto, E., Derry, A., Diaz-Villanueva, V., Douglas, M., Elosegi, A., Encalada, A., Entrekin, S., Espinosa, R., Ferreira, V., Ferriol, C., Flanagan, K., Flecker, A., Fleituch, T., Frainer, A., Friberg, N., Frost, P., Garcia, E.A., Garcia-Lago, L., Garcia Soto, P., Gessner, M., Ghate, S., Giling, D., Gilmer, A., Goncalves, J., Gonzales, R., Graca, M., Grace, M., Griffiths, N.A., Grossart, H., Guerold, F., Gulis, V., Gutiérrez-Fonseca, P., Hepp, L., Higgins, S., Hishi, T., Huddart, J., Hudson, J.P., Imberger, M., Iniguez-Armijos, C., Isken, M., Iwata, T., Janetski, D., Kirkwood, A., Koning, A., Kosten, S., Kuehn, K., Laudon, H., Leavitt, P., Lemes da Silva, A., Leroux, S., Lisi, P., Mackenzie, R., Marcarelli, A.M., Masese, F., McIntyre, P.B., McKie, B.G., Medeiros, A., Meissner, K., Milisa, M., Mishra, S., Miyake, Y., Moerke, A., Mombrikotb, S., Mooney, R.J., Moulton, T., Muotka, T., Negishi, J.N., Neres-Lima, V., Nieminen, M., Nimptsch, J., Ondruch, J., Paavola, R., Pardo, I., Peeters, E., Pozo, J., Prussian, A., Quenta, E., Reid, B., Richardson, J.S., Rigosi, A., Rincon, J., Risnoveanu, G., Robinson, C., Rodriguez-Gallego, L., Royer, T.V., Rusak, J.A., Santamans, A., Selmeczy, G., Simiyu, G., Skuja, A., Smykla, J., Sponseller, R.A., Sridhar, K., Stoler, A., Swan, C.M., Teixeira-de Mello, F., Tonkin, J., Uusheimo, S., Veach, A., Vilbaste, S., Vought, L., Wang, C., Webster, J., Wilson, P.B., Woelfl, S., Woodward, G., Xenopoulos, M., Yates, A., Yoshimura, C., Yule, C., Zhang, Y., and Zwart, J.A., 2024, Human activities shape global patterns of decomposition rates in rivers: Science, v. 384, no. 6701, p. 1191-1195, https://doi.org/10.1126/science.adn1262.","productDescription":"5 p.","startPage":"1191","endPage":"1195","ipdsId":"IP-160431","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":467002,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04652223","text":"External Repository"},{"id":464591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"384","issue":"6701","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiegs, 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backpack-harness effects on greater sage-grouse survival and device retention in the Great Basin","docAbstract":"Wildlife tracking studies have become ubiquitous in ecology and now provide previously unobtainable data regarding individual movement, vital rates, and population demographics. However, tracking devices can potentially reduce survival of study subjects, generating biases in the vital rates they seek to measure. Previous studies have found that greater sage-grouse (Centrocercus urophasianus) fitted with Global Positioning System (GPS) tracking devices may experience reduced survival, relative to those tracked with traditional radio transmitters, and have documented skin abrasions and lacerations associated with typical backpack-style GPS harnesses. We implemented an experimental study comparing survival and harness retention between 2 different backpack-style GPS transmitter harnesses. We captured female sage-grouse at 3 study sites in the northwest Great Basin of Oregon, Nevada, and California during 2019–2021. We fit each individual, following previously published recommendations, with either a standard backpack harness or a modified harness hypothesized to reduce skin abrasion and laceration. We used known-fate models in Program MARK to model variation in survival and harness retention separately as a function of harness type, year, age, a linear effect of time, and the ratio of the device to individual body mass. Neither survival nor retention varied systematically by harness type, however retention decreased as a function of body mass ratio. We echo previous recommendations for standardized harness attachment protocols and studies designed to isolate and test potential mechanisms by which tracking devices and attachment methods might affect survival and well-being of sage-grouse and other tracked species.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1523","usgsCitation":"Lundblad, C.G., Anthony, C.R., Dungannon, T., Haab, K.A., Schuyler, E., Sink, C.E., Dugger, K., and Hagen, C., 2024, Evaluating satellite-transmitter backpack-harness effects on greater sage-grouse survival and device retention in the Great Basin: The Wildlife Society Bulletin, v. 48, no. 2, e1523, 15 p., https://doi.org/10.1002/wsb.1523.","productDescription":"e1523, 15 p.","ipdsId":"IP-154308","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":439479,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1523","text":"Publisher Index Page"},{"id":430129,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California Nevada, Oregon","otherGeospatial":"Great 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University","active":true,"usgs":false}],"preferred":false,"id":903643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haab, Kimberly A.","contributorId":338863,"corporation":false,"usgs":false,"family":"Haab","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuyler, Elizabeth M.","contributorId":338867,"corporation":false,"usgs":false,"family":"Schuyler","given":"Elizabeth M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sink, Chelsea E.","contributorId":338870,"corporation":false,"usgs":false,"family":"Sink","given":"Chelsea","email":"","middleInitial":"E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903646,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903647,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hagen, Christian A.","contributorId":338874,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903648,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70254278,"text":"fs20243015 - 2024 - Assessment of undiscovered oil and gas resources of the North Chukchi Basin, outer continental shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023","interactions":[],"lastModifiedDate":"2026-01-27T17:55:31.16331","indexId":"fs20243015","displayToPublicDate":"2024-05-29T09:52:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3015","displayTitle":"Assessment of Undiscovered Oil and Gas Resources of the North Chukchi Basin, Outer Continental Shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023","title":"Assessment of undiscovered oil and gas resources of the North Chukchi Basin, outer continental shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean volumes of 1.8 billion barrels of oil and 119.9 trillion cubic feet of gas technically recoverable from undiscovered, conventional accumulations in Cretaceous and Cenozoic strata of the North Chukchi Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243015","programNote":"National and Global Petroleum Assessment","usgsCitation":"Houseknecht, D.W., Markey, C.P., Mercier, T.J., Schenk, C.J., Connors, C.D., Gooley, J.T., Botterell, P.J., Smith, R.A., Rouse, W.A., and Garrity, C.P., 2024, Assessment of undiscovered oil and gas resources of the North Chukchi Basin, outer continental shelf of the Chukchi and East Siberian Seas, Arctic Ocean, 2023 (ver. 1.2, July 2024): U.S. Geological Survey Fact Sheet 2024–3015, 4 p., https://doi.org/10.3133/fs20243015.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-159777","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":499118,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117018.htm","linkFileType":{"id":5,"text":"html"}},{"id":429520,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243015/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3015"},{"id":429506,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3015/fs20243015.xml"},{"id":429498,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2024/3015/version_Hist.txt","size":"4.00 KB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2024-3015 version history"},{"id":428754,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1O4VPJS","text":"USGS data release","linkHelpText":"National and Global Petroleum Assessment—North Chukchi Basin Province: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":428753,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3015/fs20243015.pdf","text":"Report","size":"1.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3015"},{"id":429505,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3015/images"},{"id":428752,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3015/coverthb3.jpg"}],"country":"Russia, United States","otherGeospatial":"Chukchi Sea, East Siberian Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n 75\n ],\n [\n -179.9,\n 65\n ],\n [\n -140,\n 65\n ],\n [\n -140,\n 75\n ],\n [\n -179.9,\n 75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 160,\n 65\n ],\n [\n 179.9,\n 65\n ],\n [\n 179.9,\n 75\n ],\n [\n 160,\n 75\n ],\n [\n 160,\n 65\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: May 2024; Version 1.1: June 2024; Version 1.2: July 2024","contact":"Director, Geology, Energy & Minerals Science Center
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12201 Sunrise Valley Drive
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Analysis of 70 years of snowfall in the Northern Hemisphere reveals that snow buffers the effect of varying precipitation levels on streamflow. The link highlights the need to rethink water-resource management as snow levels decline.
","language":"English","publisher":"Nature","doi":"10.1038/d41586-024-01239-6","usgsCitation":"Ryberg, K.R., 2024, Why snow is crucial for water supply — And what will happen when it becomes scarce: Nature, v. 629, p. 1013-1014, https://doi.org/10.1038/d41586-024-01239-6.","productDescription":"2 p.","startPage":"1013","endPage":"1014","ipdsId":"IP-164824","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":429867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"629","noUsgsAuthors":false,"publicationDate":"2024-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902947,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70254782,"text":"70254782 - 2024 - Two risk assessments: Evaluating the use of indicator HF183 Bacteroides versus pathogen measurements for modelling recreational illness risks in an urban watershed","interactions":[],"lastModifiedDate":"2024-06-18T14:02:16.226227","indexId":"70254782","displayToPublicDate":"2024-05-29T08:30:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Two risk assessments: Evaluating the use of indicator HF183 Bacteroides versus pathogen measurements for modelling recreational illness risks in an urban watershed","title":"Two risk assessments: Evaluating the use of indicator HF183 Bacteroides versus pathogen measurements for modelling recreational illness risks in an urban watershed","docAbstract":"The purpose of this study was to evaluate the performance of HF183 Bacteroides for estimating pathogen exposures during recreational water activities. We compared the use of Bacteroides-based exposure assessment to exposure assessment that relied on pathogen measurements. We considered two types of recreational water sites: those impacted by combined sewer overflows (CSOs) and those not impacted by CSOs. Samples from CSO-impacted and non-CSO-impacted urban creeks were analysed by quantitative polymerase chain reaction (qPCR) for HF183 Bacteroides and eight human gastrointestinal pathogens. Exposure assessment was conducted two ways for each type of site (CSO-impacted vs. non-CSO impacted): 1) by estimating pathogen concentrations from HF183 Bacteroides concentrations using published ratios of HF183 and pathogens in sewage and 2) by estimating pathogen concentrations from qPCR measurements. QMRA (quantitative microbial risk assessment) was then conducted for swimming, wading, and fishing exposures. Overall, mean risk estimates varied from 0.27 to 53 illnesses per 1,000 recreators depending on exposure assessment, site, activity, and norovirus dose-response model. HF183-based exposure assessment identified CSO-impacted sites as higher risk, and the recommended HF183 risk-based threshold of 525 genomic copies per 100 mL was generally protective of public health at the CSO-impacted sites but was not as protective at the non-CSO-impacted sites. In the context of our urban watershed, HF183-based exposure assessment over- and under-estimated risk relative to exposure assessment based on pathogen measurements and the etiology of predicted pathogen-specific illnesses differed significantly. Across all sites, the HF183 model overestimated risk for norovirus, adenovirus, and Campylobacter jejuni, and it underestimated risk for E. coli and Cryptosporidium. To our knowledge, this study is the first to directly compare health risk estimates using HF183 and empirical pathogen measurements from the same waterways. Our work highlights the importance of site-specific hazard identification and exposure assessment to decide whether HF183 is applicable for monitoring risk.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2024.121852","usgsCitation":"Skiendzielewski, K., Burch, T., Stokdyk, J.P., McGinnis, S., McLoughlin, S., Firnstahl, A.D., Spencer, S., Borchardt, M.A., and Murphy, H., 2024, Two risk assessments: Evaluating the use of indicator HF183 Bacteroides versus pathogen measurements for modelling recreational illness risks in an urban watershed: Water Research, v. 259, 121852, 16 p., https://doi.org/10.1016/j.watres.2024.121852.","productDescription":"121852, 16 p.","ipdsId":"IP-159977","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439482,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2024.121852","text":"Publisher Index Page"},{"id":429633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","city":"Philadelphia","otherGeospatial":"Cobbs Creek, Tacony Creek, Wissahickon Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.85988405796229,\n 40.143466276240844\n ],\n [\n -75.36578555034887,\n 40.16571325279898\n ],\n [\n -75.46114396657245,\n 39.85973677036142\n ],\n [\n -75.14696307943568,\n 39.87128371570064\n ],\n [\n -75.07770275607366,\n 39.95290291070239\n ],\n [\n -74.85988405796229,\n 40.143466276240844\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Skiendzielewski, K","contributorId":299292,"corporation":false,"usgs":false,"family":"Skiendzielewski","given":"K","email":"","affiliations":[],"preferred":false,"id":902522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":902523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","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":902524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGinnis, Shannon","contributorId":203051,"corporation":false,"usgs":false,"family":"McGinnis","given":"Shannon","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":902525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLoughlin, S","contributorId":299293,"corporation":false,"usgs":false,"family":"McLoughlin","given":"S","affiliations":[],"preferred":false,"id":902526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Spencer, Sandy","contributorId":302981,"corporation":false,"usgs":false,"family":"Spencer","given":"Sandy","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902528,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":902529,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Heather","contributorId":203052,"corporation":false,"usgs":false,"family":"Murphy","given":"Heather","email":"","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":902530,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70254582,"text":"70254582 - 2024 - Temporally dense monitoring of pathogen occurrence at four drinking-water well sites – Insights and Implications","interactions":[],"lastModifiedDate":"2024-06-03T12:02:06.269876","indexId":"70254582","displayToPublicDate":"2024-05-29T06:59:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Temporally dense monitoring of pathogen occurrence at four drinking-water well sites – Insights and Implications","docAbstract":"Yearlong, event based, microbiological and chemical sampling was conducted at four public water supply well sites spanning a range of geologic settings and well depths to look for correlation between precipitation events and microbial occurrence. Near-continuous monitoring using autosamplers occurred just before, during, and after 5–7 sampling events triggered by rainfall and/or snowmelt. Microbial genetic material was noted at all four locations during all but one sampling event, but was exceedingly variable in time, where one sample would have no detections and the next sample could be a relatively high concentration. The highest microbial sums (microbial concentrations summed over an event) were observed during months in which precipitation exceeded historical averages. Extended wet conditions through the spring thaw resulted in the highest percentage of microbial positive samples, though at relatively low concentrations. Sampling events that followed drier than normal periods showed longer lag times between the onset of precipitation and microbial occurrence, as well as lower microbial detection rates. Although a general lag time pattern was observed at each site, the largest offset in time was observed at the site with the greatest depth to water. The study's temporally dense representation of drinking water pathogen characterization suggests that single event or infrequent periodic sampling of a drinking water supply cannot provide a representative characterization of the probability that pathogens are present, which likely has ramifications for calculating health risk assessments.
Species distributions are often indicative of historical biogeographical events and contemporary spatial biodiversity patterns. The Harlequin Duck Histrionicus histrionicus is a sea duck of conservation concern that has a disjunct distribution, with discrete portions of its range associated with northern Pacific and Atlantic Ocean basins. Movement data indicate migratory connectivity within regions of each ocean basin but not cross-continent dispersal, suggesting that genetic structuring could exist at multiple spatial scales. Little is known regarding the impacts of past vicariance events on the species phylogeographical structure and historical demography, or rates of gene flow at different spatial scales. We used data from microsatellite loci and mitochondrial DNA (mtDNA) sequences to quantify levels of genetic diversity within, and the extent of spatial genetic differentiation among locations sampled at multiple spatial scales across the species range. Samples were collected at nonbreeding locations, which represent groupings appropriate for characterizing genetically differentiated subgroups at regional and continental scales. Collectively, genetic data and coalescence modelling suggested that individuals colonized regions currently occupied within both ocean basins in the Holocene from a single refuge in the Atlantic. Further, it seems likely there was secondary contact with lineages derived from populations in Asia, based on the shallow species-wide mtDNA phylogeny and high incidence of recently derived private mtDNA haplotypes. Estimates of inter-location variance in microsatellite allele and mtDNA haplotype frequency were moderate and significant between western (Pacific – North America) and eastern (Atlantic – North America, Greenland and Iceland) ocean basins and among sampling groups within each ocean basin. Genetic differentiation among sampling groups was particularly evident at the species distributional margins in the Atlantic (Iceland) and the Pacific (Shemya Island) Ocean basins. Coalescent modelling results suggest that contemporary spatial genetic patterns in the species arose through the combined influences of secondary contact, shared ancestry and gene flow after the last glacial maxima.
No abstract available.
","language":"English","publisher":"Cornell University","doi":"10.7298/2nqt-1s83","usgsCitation":"Colberg, E., Morelli, T.L., and Brown-Lima, C., 2024, Guidelines for climate-smart invasive species management, 16 p., https://doi.org/10.7298/2nqt-1s83.","productDescription":"16 p.","ipdsId":"IP-166898","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":486067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Colberg, Eva M.","contributorId":355425,"corporation":false,"usgs":false,"family":"Colberg","given":"Eva M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":937389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":937167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown-Lima, Carrie J.","contributorId":347882,"corporation":false,"usgs":false,"family":"Brown-Lima","given":"Carrie J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":937390,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}