Modelling and analysis of helicopter electromagnetic data result in resistivity and susceptibility models and derivatives of magnetic data that characterise shallow parts of the Stillwater Complex, critical for aiding exploration and expansion of globally scarce critical and battery mineral resources that include platinum group elements, nickel, copper and chromium. The magnetic susceptibly models derived from the electromagnetic data and the tilt derivative of the magnetic data image layering, mafic dikes, banded iron formation, and serpentinised peridotite. Known areas with contact-type mineralisation are generally characterised by low resistivities and susceptibilities where the volume of mineralised rock is large and/or the depth is shallow. We use iso-cluster and edge detection analysis of both resistivities and susceptibilities to identify potential mineralisation in poorly characterised regions as well as faults. Low resistivity layers beneath large landslides reflect water saturated porous slip surfaces which can interfere with drilling. This uncommon approach of tightly linking the resistivity and susceptibility models and magnetic anomaly data to rock property, surficial geologic, drill hole and soil geochemistry data to image the geology in the upper ∼100 m, aids identification of prospective mineralised regions as well landslides and faults that can impact mineral exploration and local hazards.
Mineral resource assessments performed by the U.S. Geological Survey provide a synthesis of available information about the location of known and suspected mineral deposits. This study focuses on skarn-hosted tungsten resources in the northern Rocky Mountain region of east-central Idaho and western Montana which have seen moderate tungsten trioxide production in the past from a variety of mineralization styles including skarn, vein and replacement, and wolframite-quartz veins. The area’s geology is dominated by large Cretaceous and Tertiary plutons that are emplaced into a belt of Mesoproterozoic to Permian sedimentary rock and affected by tectonism related to the Sevier and later Laramide orogenies. Known tungsten skarn mineral sites are associated with contacts between Cretaceous plutons and calcareous and argillaceous sedimentary or metasedimentary rocks, including two skarn deposits in Montana (Calvert and Browns Lake) that are consistent with an updated grade and tonnage model.
This study (1) delineates permissive tracts where undiscovered tungsten skarn deposits may occur within 1 kilometer of the surface; (2) presents a tungsten mineral site dataset from a variety of public sources; (3) evaluates currently available geochemical, geophysical, and radiometric age data in support of tract delineation; (4) provides probabilistic estimates of the amount of tungsten and tungsten-mineralized rock that could be contained in undiscovered deposits within one major tract; (5) estimates the value of total undiscovered deposits using economic filter analysis; and (6) provides a synthesis of metallogenic controls on regional tungsten skarn and granitoid-related mineral deposits.
Two permissive tracts were delineated: the Great Falls tectonic zone (GFTZ)-Cretaceous tract, for which a quantitative assessment was performed, and the Bitterroot tract, which was assessed in a qualitative manner. The quantitative three-part assessment, conducted in August 2019, indicates that undiscovered tungsten resources might exist in skarn-type deposits within the study area. Using a negative binomial function, a mean of 4 undiscovered deposits was calculated from panel estimates. Simulation results that combine an updated grade and tonnage model with estimates of undiscovered deposits include the amounts of ore and contained tungsten trioxide at different levels of uncertainty. A mean of 250,000 metric tons and median of 200,000 metric tons contained tungsten trioxide was calculated for the undiscovered deposits within the GFTZ-Cretaceous tract. The value of undiscovered deposits was estimated using a new economic filter that considers factors such as mine type, deposit depth, deposit geometry, metallurgical recovery rate, cutoff grade, and tract area.
A review of the regional Archean to Paleogene geology suggests that ore metal (copper, molybdenum, and tungsten) variations in intrusion-related deposits of Montana and Idaho may be controlled by a number of factors including the age and composition of underlying basement terranes, depth of emplacement, pluton chemistry and degree of fractionation, redox conditions, and aqueous fluid-melt partition coefficients.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235012","programNote":"Mineral Resources Program","usgsCitation":"Andersen, A.K., Goldman, M.A., Bennett, M.M., Dicken, C.L., Brown, P.J., and Parks, H.L., 2023, Tungsten resources of the northern Rocky Mountains, Montana and Idaho— A synthesis and quantitative assessment of skarn-hosted resources: U.S. Geological Survey Scientific Investigations Report 2023-5012, 87 p., https://doi.org/10.3133/sir20235012.","productDescription":"Report: viii, 87 p.; Data Release","numberOfPages":"87","onlineOnly":"Y","ipdsId":"IP-122167","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500706,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114742.htm","linkFileType":{"id":5,"text":"html"}},{"id":417441,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9094RVV","text":"Spatial data associated with tungsten skarn resource assessment of the northern Rocky Mountains, Montana and Idaho","description":"Goldman, M.A., Dicken, C.L., Brown, P.J., Andersen, A.K., Bennett, M.M., and Parks, H.L., 2022, Spatial data associated with tungsten skarn resource assessment of the northern Rocky Mountains, Montana and Idaho: U.S. Geological Survey data release, https://doi.org/10.5066/P9094RVV."},{"id":417443,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5012/sir20235012.pdf","text":"Report","size":"55 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":417442,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5012/covrthb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"Northern Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.93058150555078,\n 48.9704513230287\n ],\n [\n -116.93058150555078,\n 43.38357304109826\n ],\n [\n -111.08762543219147,\n 43.38357304109826\n ],\n [\n -111.08762543219147,\n 48.9704513230287\n ],\n [\n -116.93058150555078,\n 48.9704513230287\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
Building 19, 350 N. Akron Rd.
P.O. Box 158
Moffett Field, CA 94035
Redox-active functional groups in dissolved organic matter (DOM) are crucial for microbial electron transfer and methane emissions. However, the extent of aquatic DOM redox properties across northern high-latitude lakes and their relationships with DOM composition have not been thoroughly described. We quantified electron donating capacity (EDC) and electron accepting capacity (EAC) in lake DOM from Canada to Alaska and assessed their relationships with parameters from absorbance, fluorescence, and ultrahigh resolution mass spectrometry (FT-ICR MS) analyses. EDC and EAC are strongly tied to aromaticity and negatively related to aliphaticity and protein-like content. Redox-active formulae spanned a range of aromaticity, including highly unsaturated phenolic formulae, and correlated negatively with many aliphatic N and S-containing formulae. This distribution illustrates the compositional diversity of redox-sensitive functional groups and their sensitivity to ecosystem properties such as local hydrology and residence time. Finally, we developed a reducing index (RI) to predict EDC in aquatic DOM from FT-ICR MS spectra and assessed its robustness using riverine DOM. As the hydrology of the northern high-latitudes continues to change, we expect differences in the quantity and partitioning of EDC and EAC within these lakes, which have implications for local water quality and methane emissions.
Viral hemorrhagic septicemia virus (VHSV) is an aquatic rhabdovirus causing severe disease in freshwater and saltwater fish species. The susceptibility of endangered Pallid Sturgeon Scaphirhynchus albus to VHSV genotype IVb (VHSV-IVb) infection was investigated.
An in vitro assessment using two Pallid Sturgeon cell lines derived from skin and spleen tissue and in vivo evaluation of juvenile Pallid Sturgeon after exposure to VHSV-IVb were performed.
Plaque assay and RT-PCR results confirmed VHSV-IVb replication in Pallid Sturgeon cell lines. Sturgeon were also susceptible to VHSV-IVb infection after immersion and injection exposures during laboratory experiments. However, after widespread mortality occurred in all treatment groups, including negative control fish, it was determined that the Pallid Sturgeon stock fish were infected with Missouri River sturgeon iridovirus (MRSIV) prior to experimental challenge. Nevertheless, mortalities were equal or higher among VHSV-exposed fish than among negative controls (MRSIV infected), and histopathological assessments indicated reduced hematopoietic cells in spleen and kidney tissues and hemorrhage in the gastrointestinal organs only in fish from the VHSV treatment.
These results indicate that Pallid Sturgeon is a susceptible host for VHSV-IVb, but the degree of pathogenicity was confounded by the underlying MRSIV infection. Research comparing susceptibility of specific pathogen-free and MRSIV-infected fish to VHSV-IVb is needed to accurately assess the vulnerability of Pallid Sturgeon to VHSV-IVb.
","language":"English","publisher":"Wiley","doi":"10.1002/aah.10181","usgsCitation":"Hopper, L.R., Glenn, J., MacConnell, E., Winton, J., and Emmenegger, E.J., 2023, Susceptibility of Pallid Sturgeon to viral hemorrhagic septicemia virus genotype IVb: Journal of Aquatic Animal Health, v. 35, no. 2, p. 88-100, https://doi.org/10.1002/aah.10181.","productDescription":"13 p.","startPage":"88","endPage":"100","ipdsId":"IP-141811","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":497995,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/aah.10181","text":"Publisher Index Page"},{"id":435312,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CCV8DM","text":"USGS data release","linkHelpText":"Experimental Testing of Endangered Pallid Sturgeon to Viral Hemorrhagic Septicemia Virus Genotype IVb"},{"id":417565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopper, Lacey R.","contributorId":206813,"corporation":false,"usgs":false,"family":"Hopper","given":"Lacey","email":"","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":874203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Jolene A.","contributorId":305970,"corporation":false,"usgs":false,"family":"Glenn","given":"Jolene A.","affiliations":[{"id":36672,"text":"Previously USGS","active":true,"usgs":false}],"preferred":false,"id":874204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacConnell, Elizabeth","contributorId":305972,"corporation":false,"usgs":false,"family":"MacConnell","given":"Elizabeth","affiliations":[{"id":66331,"text":"Headwaters Fish Pathology, LLC, 1049 Tayabeshockup Road, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":874205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winton, James 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":179330,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 eemmenegger@usgs.gov","orcid":"https://orcid.org/0000-0001-5217-6030","contributorId":2434,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Eveline","email":"eemmenegger@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":874207,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256669,"text":"70256669 - 2023 - Patterns of water use by raptors in the southern Great Plains","interactions":[],"lastModifiedDate":"2024-08-07T23:44:22.183237","indexId":"70256669","displayToPublicDate":"2023-05-25T18:42:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of water use by raptors in the southern Great Plains","docAbstract":"There is a paucity of data evaluating water use by raptors. Although raptors are believed to satisfy their water requirements through metabolic processes, they are known to experience reduced reproductive success during periods of drought, and there is evidence of water being important for site occupancy in arid landscapes. Several raptor species have a seasonal or year-round presence in west Texas, a drought-prone, semi-arid region of the Southern Great Plains. We examined species-specific timing of free water use by common raptors in this region, and examined environmental conditions associated with water use. We collected 4549 camera trap-days of data across 4 yr at ten human-made water sources placed for cattle. We recorded 14 species of raptors among the 1177 detections of raptors visiting water sources; of these, 1084 raptors (92.1%) perched at tanks, and 93 (7.1%) flew by tanks. Of the raptors that perched at tanks, 63.5% drank and 20.8% both bathed and drank. Barn Owls (Tyto alba; 35.6%), Swainson's Hawks (Buteo swainsoni; 32.0%), and Northern Harriers (Circus hudsonius; 21.0%) were the predominate species detected. Visits by Northern Harriers and Swainson's Hawks increased with increasing temperature and decreasing precipitation. Visits by Barn Owls increased with increasing drought severity. Further, detections per 100 trap-days increased substantively across our 4-yr study period during which the region experienced one of the worst droughts on record. Although our data do not demonstrate these raptors require free water, they do reveal an increasing use of free water in relation to hotter and drier conditions. How this influences survival and reproduction remains unknown, but may become a pressing question because current climate models predict the study area will experience increases in heat and decreases in precipitation.
","language":"English","publisher":"BioOne","doi":"10.3356/JRR-21-70","usgsCitation":"Boal, C.W., Bibles, B.D., and Gicklhorn, T., 2023, Patterns of water use by raptors in the southern Great Plains: Journal of Raptor Research, v. 57, no. 3, p. 444-455, https://doi.org/10.3356/JRR-21-70.","productDescription":"12 p.","startPage":"444","endPage":"455","ipdsId":"IP-134224","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bibles, Brent D.","contributorId":341539,"corporation":false,"usgs":false,"family":"Bibles","given":"Brent","email":"","middleInitial":"D.","affiliations":[{"id":81739,"text":"Unity College","active":true,"usgs":false}],"preferred":false,"id":908581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gicklhorn, Trevor S.","contributorId":341540,"corporation":false,"usgs":false,"family":"Gicklhorn","given":"Trevor S.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908582,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70243941,"text":"sir20235050 - 2023 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020","interactions":[],"lastModifiedDate":"2026-03-09T16:14:58.563672","indexId":"sir20235050","displayToPublicDate":"2023-05-25T14:04:57","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5050","displayTitle":"Bathymetric and Velocimetric Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020","docAbstract":"Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, near 15 bridges at 10 highway crossings of the Missouri and Mississippi Rivers near Washington, Louisiana, and St. Louis, Missouri, on August 3–10, 2020. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches about 1,640 to 1,970 feet longitudinally and generally extending laterally across the active channel from bank to bank during moderate flood-flow conditions. These surveys provided channel geometry and hydraulic conditions at the time of the surveys and provided characteristics of scour holes that may be useful in developing predictive guidelines or equations for computing potential scour depth. These data also may be useful to the Missouri Department of Transportation as a low to moderate flood-flow assessment of the bridges for stability and integrity issues with respect to bridge scour during floods.
Bathymetric data were collected around every in-channel pier. Scour holes were present at most piers for which bathymetry could be obtained, except those on banks or surrounded by riprap. All the bridge sites in this study were previously surveyed and documented in previous studies, including the two new bridge structures at Louisiana and Washington (structures A8141 and A8504, sites 22 and 32, respectively). Comparisons between bathymetric surfaces from the previous surveys and those of the current (2020) study do not indicate any consistent correlation in channel-bed elevations with streamflow conditions. The comparisons of the 2020 surveys to two previous surveys at the new bridge structure A8141 at Washington (site 22) resulted in net erosion of the channel bed in both comparisons, despite the 2020 streamflow being less than either previous survey. Alternatively, there was a net gain of sediment at new bridge structure A8504 at Louisiana (site 32) between 2014 and 2020, which was the most substantial increase in the surveys detailed in this report; substantially less flow in 2020 than in 2014 or changes to the channel and spur dikes near the bridge may have contributed to the observed sediment gain.
Pier size, nose shape, and skew to approach flow had a substantial effect on the size of the scour hole observed at a given pier. Larger and deeper scour holes were present at piers with wide or blunt noses caused by exposed footings, seal courses, or caissons. When a pier was skewed to primary approach flow, the scour hole was generally deeper and larger than at a similar pier without skew; however, the shape of the scour hole near skewed piers in this study generally was longer and deeper on the leeward side, contrary to the general shape of scour holes for skewed piers. However, this phenomenon has been observed historically at these sites, and likely is exacerbated by debris rafts or other turbulence-inducing features near the atypical scour holes. A substantial scour hole was observed near pier 11 of structure A6500 (site 33), which was deeper than in the 2016 survey. The scour holes observed at pier 17 of structure L0561 (site 25) and piers 3 and 4 of structure A1500 (site 34) also were slightly deeper and wider in 2020 than in 2016. At new bridge structures A8141 at Washington (site 22) and A8504 at Louisiana (site 32), the smaller cross-sectional area and configuration of the piers of the new bridges resulted in substantially less scour than with the wider old piers.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235050","collaboration":"Prepared in cooperation with Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., 2023, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020 (ver. 1.1, June 2023): U.S. Geological Survey Scientific Investigations Report 2023–5050, 129 p., https://doi.org/10.3133/sir20235050.","productDescription":"Report: xii, 129 p.; 4 Data Releases","numberOfPages":"146","onlineOnly":"Y","ipdsId":"IP-137672","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500928,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114743.htm","linkFileType":{"id":5,"text":"html"}},{"id":417650,"rank":9,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2023/5050/versionHist.txt","text":"Version History","size":"1.19 kB","linkFileType":{"id":2,"text":"txt"}},{"id":417532,"rank":8,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5050/images"},{"id":417434,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F04JC5","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020"},{"id":417432,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WDI9YF","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri and Mississippi Rivers on the periphery of Missouri, December 2008 through August 2018"},{"id":417431,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94M4US7","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, January 2010 through May 2017"},{"id":417429,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71C1VCC","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, October 2008 through May 2016"},{"id":417428,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5050/sir20235050.XML","linkFileType":{"id":8,"text":"xml"}},{"id":417427,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5050/sir20235050.pdf","text":"Report","size":"26.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5050"},{"id":417426,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5050/coverthb2.jpg"},{"id":417651,"rank":10,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235050/full"}],"country":"United States","state":"Illinois, Missouri","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.7316541640954,\n 39.115075665885314\n ],\n [\n -90.7316541640954,\n 38.326846254515004\n ],\n [\n -90.02883149031791,\n 38.326846254515004\n ],\n [\n -90.02883149031791,\n 39.115075665885314\n ],\n [\n -90.7316541640954,\n 39.115075665885314\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: May 25, 2023; Version 1.1: June 1, 2023","contact":"Director, Central Midwest Water Science Center
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1400 Independence Road
Rolla, MO 65401
The Pacific Gas and Electric Company (PG&E) Hinkley compressor station, in the Mojave Desert, 80 miles northeast of Los Angeles, California, is used to compress natural gas as it is transported through a pipeline from Texas to California. Between 1952 and 1964, cooling water was treated with a compound containing hexavalent chromium, Cr(VI), to prevent corrosion of machinery within the compressor station. Cooling wastewater containing Cr(VI) was discharged to unlined ponds and released into groundwater. Since 1964, cooling-water management practices have been used that do not contribute chromium to groundwater.
","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231043","collaboration":"Prepared in cooperation with Lahontan Regional Water Quality Control Board","usgsCitation":"Izbicki, J.A., Groover, K.D., Seymour, W.A., Miller, D.M., Warden, J.G., and Miller, L.G., 2023, Natural and anthropogenic hexavalent chromium, Cr(VI), in groundwater near a mapped plume, Hinkley, California (ver. 1.1, June 2023): U.S. Geological Survey Open-File Report 2023-1043, 6 p., https://doi.org/10.3133/ofr20231043.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-124184","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":499781,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114741.htm","linkFileType":{"id":5,"text":"html"}},{"id":417444,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/pp1885","text":"Professional Paper 1885","linkHelpText":"- Natural and Anthropogenic (Human-Made) Hexavalent Chromium, Cr(VI), in Groundwater near a Mapped Plume, Hinkley, California"},{"id":418433,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1043/ofr20231043.xml"},{"id":418435,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1043/covrthb.jpg"},{"id":417273,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1043/images"},{"id":418431,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2023/1043/versionHist.txt"},{"id":418432,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1043/ofr20231043.pdf","text":"Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432299,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1043/ofr20231043_spanish.pdf","text":"Report (Spanish)","size":"7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2023-1043 in Spanish"}],"country":"United States","state":"California","city":"Hinkley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.45302333136905,\n 35.19277332893611\n ],\n [\n -117.45302333136905,\n 34.55310182669082\n ],\n [\n -116.77216386614738,\n 34.55310182669082\n ],\n [\n -116.77216386614738,\n 35.19277332893611\n ],\n [\n -117.45302333136905,\n 35.19277332893611\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: May 2023; Version 1.1: June 2023","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Digital maps of bedrock elevation and overburden thickness (depth to bedrock) were constructed for the five boroughs of New York City by the U.S. Geological Survey, in cooperation with the New York City Department of Design and Construction, from a compilation of historical and newly acquired data. Raster surfaces were interpolated from a point database containing data from more than 14,000 locations collected from a variety of sources. These data were collected between 1905 and 2021. These maps were constructed to supplement existing tools for the evaluation of potential construction of geothermal heat pump technology for buildings in New York City.
The bedrock underlying the study area ranges from easily weathered to very resistant to weathering. This differential susceptibility to erosion, along with numerous north-northwest-trending faults, is believed to control the shape of the bedrock surface. Glacial scouring of the bedrock during the Pleistocene Epoch is the most recent control on the topography of bedrock surfaces. Overburden thickness is an important consideration for evaluation and construction of geothermal systems.
Bedrock-surface elevation ranges from about 360 feet above sea level (in central Staten Island and northern Bronx) to 1,200 feet below sea level (in southern Queens) (North American Vertical Datum of 1988). The overburden thickness ranges from 0 foot thick at surface outcrops on Staten Island, Manhattan, and the Bronx, to 1,280 feet thick in southeastern Queens.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1176","collaboration":"Prepared in cooperation with the New York City Department of Design and Construction","usgsCitation":"DeMott, L.M., Stumm, F., and Finkelstein, J., 2023, Bedrock-surface elevation and overburden thickness maps of the five boroughs, New York City, New York: U.S. Geological Survey Data Report 1176, 22 p., https://doi.org/10.3133/dr1176.","productDescription":"Report: vi, 22 p.; 3 Data releases","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-138256","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":417351,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S7Q68D","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio soundings and depth-to-bedrock data for bedrock surface elevation of the five boroughs, New York City, New York"},{"id":417346,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1176/coverthb.jpg"},{"id":417347,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1176/dr1176.pdf","text":"Report","size":"9.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1176"},{"id":417348,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/dr1176/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1176"},{"id":417349,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1176/dr1176.XML"},{"id":417350,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1176/images/"},{"id":417352,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P911CSI3","text":"USGS data release","linkHelpText":"Geospatial data for bedrock surface elevation of the five boroughs, New York City, New York"},{"id":417353,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O24NP7","text":"USGS data release","linkHelpText":"Continuous marine seismic-reflection surveys and derived depth-to-bedrock point data from the East River, New York City, New York"},{"id":424286,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://ny.water.usgs.gov/maps/nycbedrock/","text":"NYC Bedrock and Groundwater Mapper"}],"contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
This field guide presents a one-day excursion in Prince George’s County, Maryland, USA, and documents the transition across the Cretaceous-Paleogene boundary by examining sediments from the upper Maastrichtian of the Severn Formation to the Paleocene sediments of the Brightseat and Aquia formations. Emphasis is placed on understanding how differences in depositional character and lithostratigraphy are related to changes in both microfossil and macrofossil assemblages. Particular attention is given to the difficulty in distinguishing Upper Cretaceous sediments from lower Paleocene sediments in the field, a problem that has traditionally led to misrepresentation of the distribution and thickness of these units and their correlation on a regional scale.
Regarding the Late Cretaceous geology, the guide presents information on the lithology and microfossil biostratigraphy of the Severn Formation, which consists predominantly of silty quartz sand, with less than 5% clay. These sediments are placed in calcareous nannofossil Zone CC25a, suggesting an early late Maastrichtian age. Low abundances of planktic foraminifera combined with sedimentological evidence suggest deposition most likely occurred in a middle neritic environment. Macrofossils in the outcrops along the field trip consist primarily of fragmented bivalve mollusk and cephalopod shell material. A hiatus of ~5 m.y. separates the Cretaceous sediments from the overlying Paleocene deposits.
As for the Paleocene geology, the guide presents information on the Brightseat and Aquia formations. The Brightseat represents early Danian age deposition and consists of clayey, silty sand at the base that grades upward into a silty sand. Glauconite is present at <5% throughout the formation in outcrop. Sediments of the Brightseat Formation are placed in calcareous nannofossil Zone NP3. Macrofossils are limited to small bivalve fragments that are scattered throughout. A hiatus representing ~3 m.y. separates the Brightseat from the overlying Aquia Formation, which is Selandian to Thanetian in age and consists of a glauconite-rich (~10%–20%), silty sand with common to abundant macrofossils, including both fragmented and complete gastropods and bivalves.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Field excursions to the northern Sierra Nevada of California, the mining districts of the Sierra Nevada, and Cretaceous and Paleocene sediments in Maryland, USA","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2023.0065(01)","usgsCitation":"Self-Trail, J., Govoni, D.L., Bybell, L.M., and Gardner, K.F., 2023, Geology and paleontology of Cretaceous and Paleocene sediments of the Cabin Branch, Cabin Creek (Cappy Avenue), and Tinkers Creek outcrops, Prince George’s County, Maryland, chap. of Field excursions to the northern Sierra Nevada of California, the mining districts of the Sierra Nevada, and Cretaceous and Paleocene sediments in Maryland, USA: Geological Society of America Field Guides, v. 65, p. 1-20, https://doi.org/10.1130/2023.0065(01).","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-146265","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":435313,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E2JZCG","text":"USGS data release","linkHelpText":"Microfossil, grain size, and petrographic data for the Cabin Branch and Cabin Creek (Cappy Avenue) outcrops, Prince George's County, Maryland"},{"id":417440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Prince George’s County","otherGeospatial":"Cabin Branch Outcrop, Cabin Creek Outcrop, Cappy Avenue Outcrop, Tinkers Creek Outcrop","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":3623,\"properties\":{\"name\":\"Prince George 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dgovoni@usgs.gov","orcid":"https://orcid.org/0000-0002-2707-0098","contributorId":292463,"corporation":false,"usgs":true,"family":"Govoni","given":"David","email":"dgovoni@usgs.gov","middleInitial":"L.","affiliations":[{"id":5071,"text":"Office of Administration","active":true,"usgs":true}],"preferred":true,"id":873723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bybell, Laurel M. 0000-0002-4760-7542 lbybell@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-7542","contributorId":1760,"corporation":false,"usgs":true,"family":"Bybell","given":"Laurel","email":"lbybell@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":873724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, Kristina Frank 0000-0001-9872-9294","orcid":"https://orcid.org/0000-0001-9872-9294","contributorId":297849,"corporation":false,"usgs":true,"family":"Gardner","given":"Kristina","email":"","middleInitial":"Frank","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":873725,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70243924,"text":"70243924 - 2023 - A retrospective assessment of fuel break effectiveness for containing rangeland wildfires in the sagebrush biome","interactions":[],"lastModifiedDate":"2023-05-25T15:10:07.037036","indexId":"70243924","displayToPublicDate":"2023-05-25T09:44:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A retrospective assessment of fuel break effectiveness for containing rangeland wildfires in the sagebrush biome","docAbstract":"Escalated wildfire activity within the western U.S. has widespread societal impacts and long-term consequences for the imperiled sagebrush (Artemisia spp.) biome. Shifts from historical fire regimes and the interplay between frequent disturbance and invasive annual grasses may initiate permanent state transitions as wildfire frequency outpaces sagebrush communities’ innate capacity to recover. Therefore, wildfire management is at the core of conservation plans for sagebrush ecosystems, especially critical habitat for species of conservation concern such as the greater sage-grouse (Centrocercus urophasianus; hereafter sage-grouse). Fuel breaks help facilitate wildfire suppression by modifying behavior through fuels modification and allowing safe access points for containment by firefighters. The Bureau of Land Management has proposed to roughly double the existing fuel break network in the western U.S., centered on the Great Basin. To our knowledge, no broad-scale examination of fuel break effectiveness or the environmental conditions under which fuel breaks are expected to be most effective has been conducted. We performed a retrospective assessment of probability of fuel break contributing to wildfire containment on recorded wildfire and fuel break interactions from 1985 to 2018 within the western U.S. We characterized environmental, fuels, and weather conditions within 500 m of wildfire contact, and within 5 km of the approaching wildfire. We used a binomial mixed model within a Bayesian framework to identify relationships between these variables and fuel break success. Fuel breaks were least successful in areas classified as having low resilience to disturbance and low resistance to invasion, in areas composed of primarily woody fuels, and when operating in high temperature and low precipitation conditions. Fuel breaks were most effective in areas where fine fuels dominated and in areas that were readily accessible. Maintenance history and fuel break type also contributed to the probability of containment. Overall results indicate a complex and sometimes paradoxical relationship between landscape characteristics that promote wildfire spread and those that impact fuel break effectiveness. Finally, we developed predictive maps of fuel break effectiveness by fuel break type to further elucidate these complex relationships and to inform urgently needed fuel break placement and maintenance priorities across the sagebrush biome.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.117903","usgsCitation":"Weise, C.L., Brussee, B.E., Crist, M.R., Shinneman, D.J., Coates, P.S., Aldridge, C.L., Heinrichs, J.A., and Ricca, M.A., 2023, A retrospective assessment of fuel break effectiveness for containing rangeland wildfires in the sagebrush biome: Journal of Environmental Management, v. 341, 117903, 15 p., https://doi.org/10.1016/j.jenvman.2023.117903.","productDescription":"117903, 15 p.","ipdsId":"IP-145845","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":435315,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OPI1N3","text":"USGS data release","linkHelpText":"Predictive Maps of Fuel Break Effectiveness by Treatment Type and Underlying Resilience to Disturbance and Resistance to Invasion Across the Western U.S."},{"id":417439,"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 -121.72004583519214,\n 49.050273759992564\n ],\n [\n -121.72004583519214,\n 36.57497861377678\n ],\n [\n -103.96634293196246,\n 36.57497861377678\n ],\n [\n -103.96634293196246,\n 49.050273759992564\n ],\n [\n -121.72004583519214,\n 49.050273759992564\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"341","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weise, Cali L.","contributorId":305785,"corporation":false,"usgs":false,"family":"Weise","given":"Cali","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":873833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research 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Center","active":true,"usgs":true}],"preferred":true,"id":873837,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873747,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70243920,"text":"70243920 - 2023 - Elevated road segment (ERS) passage design may provide enhanced connectivity for amphibians, reptiles, and small mammals","interactions":[],"lastModifiedDate":"2023-05-25T14:37:47.454826","indexId":"70243920","displayToPublicDate":"2023-05-25T09:06:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Elevated road segment (ERS) passage design may provide enhanced connectivity for amphibians, reptiles, and small mammals","docAbstract":"Introduction: Designs for safe and effective road crossing structures for small animals are typically under-road microtunnels and culverts which have varying levels of effectiveness reported in the scientific literature. Many species, particularly migratory amphibians, may have limited ability to find and use passages if they are too far apart, resulting in substantial barrier effects.
Methods: We designed a novel open elevated passage (elevated road segment: ERS), similar to a low terrestrial bridge, that could theoretically be built to any length based upon species needs and movement characteristics. A 30 m length prototype ERS was installed along a forest road with a history of amphibian road mortality in Sierra National Forest, Fresno County, CA, USA. From 2018 to 2021, we monitored small animal activity under the ERS in relation to surrounding roadside and forest habitats using active infrared cameras.
Results: We documented a total of 8,815 unique use events, using species specific independence criteria, across 22 species of amphibians (3), reptiles (4), and small mammals (15). Poisson regression modeling of taxonomic group activity under the ERS, roadside and forest, showed that amphibian activity was highest in the forest habitat, no differences were observed for reptiles, and small mammal activity was highest under the ERS. However, mean activity estimates under the ERS were equal to or greater than the open roadside habitat for all 22 species, suggesting that adding cover objects, such as downed logs and vegetation may further enhance passage use.
Discussion: Overall, results showed that the design of the ERS crossing has potential to provide high connectivity for a wide range of amphibian, reptile, and small mammal species while reducing road mortality. ERS systems can also be used in areas with challenging terrain and other hydrological and environmental constraints. Incorporating current road ecology science, we provide supplemental ERS concept designs for secondary roads, primary roads and highways to help increase the options available for road mitigation planning for small animals.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2023.1145322","usgsCitation":"Brehme, C.S., Barnes, S., Ewing, B., Gould, P.R., Vaughan, C., Hobbs, M., Tornaci, C., Holm, S., Sheldon, H., Fiutak, J., and Fisher, R., 2023, Elevated road segment (ERS) passage design may provide enhanced connectivity for amphibians, reptiles, and small mammals: Frontiers in Ecology and Evolution, v. 11, 1145322, 16 p., https://doi.org/10.3389/fevo.2023.1145322.","productDescription":"1145322, 16 p.","ipdsId":"IP-152345","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":443347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1145322","text":"Publisher Index Page"},{"id":417436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Fresno County","otherGeospatial":"Sierra National Forest, U.S. Forest Service Road 9S09","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.17535466245019,\n 37.14771885929734\n ],\n [\n -119.17501133969637,\n 37.14595717739965\n ],\n [\n -119.17228621533715,\n 37.145084873115294\n ],\n [\n -119.17138499310803,\n 37.139662677742436\n ],\n [\n -119.17361659100861,\n 37.137610010257944\n ],\n [\n -119.17492550900785,\n 37.13629285262114\n ],\n [\n -119.17378825238568,\n 37.13612179150512\n ],\n [\n -119.17063397458409,\n 37.13831134457867\n ],\n [\n -119.1697756676991,\n 37.13990215198771\n ],\n [\n -119.17035502484663,\n 37.145255913964235\n ],\n [\n -119.171513739141,\n 37.146076904653754\n ],\n [\n -119.17361659100861,\n 37.14676105675399\n ],\n [\n -119.1739384560902,\n 37.14782148027888\n ],\n [\n -119.17535466245019,\n 37.14771885929734\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Stephanie","contributorId":258239,"corporation":false,"usgs":false,"family":"Barnes","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":873730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ewing, Brittany 0000-0001-5540-3905","orcid":"https://orcid.org/0000-0001-5540-3905","contributorId":258242,"corporation":false,"usgs":true,"family":"Ewing","given":"Brittany","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gould, Philip Robert 0000-0002-8871-0968","orcid":"https://orcid.org/0000-0002-8871-0968","contributorId":294694,"corporation":false,"usgs":true,"family":"Gould","given":"Philip","email":"","middleInitial":"Robert","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vaughan, 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Engineering","active":true,"usgs":false}],"preferred":false,"id":873736,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sheldon, Hanna","contributorId":294696,"corporation":false,"usgs":false,"family":"Sheldon","given":"Hanna","email":"","affiliations":[{"id":63629,"text":"Dokken Engineering","active":true,"usgs":false}],"preferred":false,"id":873737,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fiutak, Jon","contributorId":305732,"corporation":false,"usgs":false,"family":"Fiutak","given":"Jon","email":"","affiliations":[{"id":66276,"text":"Anthony Hardwood Composites & Emtek Matting Solutions, Sheridon, AR","active":true,"usgs":false}],"preferred":false,"id":873738,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":873739,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70243695,"text":"sir20235005 - 2023 - Moderate flood level scenarios—Synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties","interactions":[],"lastModifiedDate":"2026-03-02T17:59:11.412021","indexId":"sir20235005","displayToPublicDate":"2023-05-25T09:05:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5005","displayTitle":"Moderate Flood Level Scenarios: Synthetic Storm-Driven Flood-Inundation Maps for Coastal Communities in 10 New Jersey Counties","title":"Moderate flood level scenarios—Synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Environmental Protection (NJDEP) and the New Jersey Office of Emergency Management (NJOEM), created digital flood-inundation maps for approximately 1,430 square miles of the New Jersey coast and tidewaters through 10 coastal counties stretching from Cumberland County through Bergen County, New Jersey. The maps depict extent and depth estimates of coastal flooding corresponding to selected tidal elevations recorded by 25 real-time USGS tide gages located within the study area. The flood-inundation maps can be accessed through the USGS Interagency Flood Risk Management (InFRM) Flood Decision Support Toolbox (FDST).
Previously published modeled data were utilized from the coupled ADvanced CIRCulation Model (ADCIRC) and Simulating Waves Nearshore (SWAN) model. Simulated tropical storm events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected per tide gage providing two “scenarios” and accompanying inundation-map libraries for each gage. Flood-inundation maps reflect between 9 to 30 stages (elevations) at each tide gage that correspond to areal extents and depths for ADCIRC-SWAN storm time steps extracted from modeled hydrographs at the gage locations. Water-surface elevations from ADCIRC-SWAN node points extending through each tide gage station extent were used to interpolate a water surface. Combining these surfaces with a geographic information system (GIS) topobathymetric digital elevation model (TBDEM) delineated the area flooded by coastal waters at each tide gage elevation.
The availability of these maps to visualize potential inundation for selected water levels along with real-time water level data available online from USGS tide gages, coastal impact statements, and forecasted tide elevations from the National Weather Service (NWS) will provide emergency management personnel and residents with a link between numeric and text warning information and images of estimated inundation extents in their community. User selected display of inundation allows early response activities to NWS forecasted water level elevations or mitigation planning by selecting targeted water levels and planning critical pre-flood activities such as building elevations, early traffic pattern changes because of neighborhood building inundation levels, improved understanding about when major road access is affected, as well as for post-flood recovery efforts.
A subsequent analysis of several community metrics including total structures, structure density, percent of buildings inundated, and roads and bridges affected by flooding was used to evaluate moderate flooding impacts among the mapped station extents. Initial comparisons are presented to show the variability of these characteristics within each mapped station extent then extended to evaluate impacts from moderate flooding on these same areas. The analysis used simulated inundation layers at the moderate flood stage to investigate the magnitude of inundation on building structures and major roads among the mapped station extents. Experimental equations were developed to begin testing if a mathematical equation could help identify communities that were disproportionately impacted at moderate flood stage. The community analysis of impacts to moderate flooding based on these inundation scenario maps should provide community leaders and local and state planning officials with tools to better visualize and understand how flooding begins to disrupt and damage building structures and major roads as a surrogate for direct increased risk to human life and property.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235005","collaboration":"Prepared in cooperation with New Jersey Department of Environmental Protection","usgsCitation":"Suro, T.P., Niemoczynski, M.J., Boetsma, A., and Niemoczynski, L.M., 2023, Moderate flood level scenarios—Synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023–5005, 49 p., https://doi.org/10.3133/sir20235005.","productDescription":"Report: viii, 49 p.; Data Release","numberOfPages":"49","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-136043","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":417140,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5005/images/"},{"id":500685,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114740.htm","linkFileType":{"id":5,"text":"html"}},{"id":417141,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RVF9P8","text":"USGS data release","linkHelpText":"Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties"},{"id":417139,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5005/sir20235005.XML"},{"id":417138,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235005/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5005"},{"id":417137,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5005/sir20235005.pdf","text":"Report","size":"21.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5005"},{"id":417136,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5005/coverthb.jpg"}],"country":"United States","state":"New Jersey","county":"Atlantic County, Bergen County, Cape May County, Cumberland County, Essex County, Middlesex County, Monmouth County, Ocean County, Salem County, Union County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.1277080228522,\n 40.638935692142724\n ],\n [\n -74.41159623268268,\n 40.50386433220055\n ],\n [\n -74.13706697482502,\n 40.31620957676867\n ],\n [\n -74.07155431101805,\n 40.27813984647429\n ],\n [\n -74.2088189399465,\n 39.95129023758125\n ],\n [\n -74.58317622656678,\n 39.43518753081048\n ],\n [\n -74.78283386864535,\n 39.20591467723193\n ],\n [\n -75.42236225342704,\n 39.6781159291034\n ],\n [\n -75.58146443695806,\n 39.64689563243181\n ],\n [\n -75.51907142380868,\n 39.57479497276381\n ],\n [\n -75.55650723169862,\n 39.449642684385594\n ],\n [\n -75.2258242620061,\n 39.23250052123328\n ],\n [\n -75.13535439293969,\n 39.15996996348281\n ],\n [\n -75.03864522255803,\n 39.19382687463093\n ],\n [\n -74.92009849757379,\n 39.14303539458916\n ],\n [\n -75.00120941466811,\n 38.92494240360199\n ],\n [\n -74.90138059362884,\n 38.89338447021902\n ],\n [\n -74.52078321341743,\n 39.249413543217884\n ],\n [\n -74.25873255818952,\n 39.44482463320827\n ],\n [\n -74.05907491611174,\n 39.72851891657447\n ],\n [\n -73.93740900673615,\n 40.3827789234833\n ],\n [\n -73.99044306791338,\n 40.49911897812299\n ],\n [\n -74.17762210736144,\n 40.48488407551238\n ],\n [\n -74.0372378277754,\n 40.579726378448925\n ],\n [\n -74.06219503303558,\n 40.65787019904499\n ],\n [\n -74.1277080228522,\n 40.638935692142724\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
We describe the development of a custom 37 K Affymetrix Axiom myDesign single nucleotide polymorphism (SNP) array for a culturally and ecologically important apex predator, the golden eagle (Aquila chrysaetos). Using this SNP array, we performed population genomic analysis on 154 individuals of known natal localities and detected three genetic clusters that we designated as Taiga/High Arctic, Great Basin, and Rocky Mountains/Great Plains. Each of these clusters appears to display clinal variation within these geographic regions. After determining genetic structure, we performed an assignment test of 32 individuals, five of which were siblings of individuals used in the assessment of genetic structure, three had associated telemetry data, and the remaining individuals were of unknown natal locations. Using this array, four siblings were correctly assigned to the same geographic region as their sibling and the genetic assignment of the radio telemetered birds agreed with the expected movement patterns displayed by these individuals. For the remaining individuals, we were able to assign all but five individuals to one of the three genetic clusters. Our genetic assignments illustrates the utility of this SNP array to accurately assign most individuals to predesignated geographical regions. While further compiling genetic and other data types, we can increase the power of this tool for identifying those breeding populations that may need assistance due to anthropogenic stressors that negatively impact their population viability. The use of this genetic resource will help substantiate decisions by multiple conservation groups that seek to preserve the natural population structure of the golden eagle.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-023-01508-3","usgsCitation":"Judkins, M.E., Roemer, G., Millsap, B., Barnes, J.G., Bedrosian, B.E., Clarke, S.L., Domenech, R., Herring, G., Lamont, M., Smith, B.W., Stahlecker, D.W., Stuber, M.J., Warren, W.C., and Van Den Bussche, R., 2023, A 37 K SNP array for the management and conservation of Golden Eagles (Aquila chrysaetos): Conservation Genetics, v. 24, p. 391-404, https://doi.org/10.1007/s10592-023-01508-3.","productDescription":"14 p.","startPage":"391","endPage":"404","ipdsId":"IP-125275","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":417435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","noUsgsAuthors":false,"publicationDate":"2023-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Judkins, Megan E.","contributorId":305744,"corporation":false,"usgs":false,"family":"Judkins","given":"Megan","email":"","middleInitial":"E.","affiliations":[{"id":66284,"text":"Oklahoma State Univ.","active":true,"usgs":false}],"preferred":false,"id":873766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roemer, Gary W.","contributorId":276331,"corporation":false,"usgs":false,"family":"Roemer","given":"Gary W.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":873767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Millsap, Brian","contributorId":182410,"corporation":false,"usgs":false,"family":"Millsap","given":"Brian","affiliations":[],"preferred":false,"id":873768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnes, Joseph G.","contributorId":213632,"corporation":false,"usgs":false,"family":"Barnes","given":"Joseph","email":"","middleInitial":"G.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":873769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedrosian, Bryan E.","contributorId":305745,"corporation":false,"usgs":false,"family":"Bedrosian","given":"Bryan","email":"","middleInitial":"E.","affiliations":[{"id":35591,"text":"Teton Raptor Center","active":true,"usgs":false}],"preferred":false,"id":873770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clarke, Stephen L.","contributorId":305746,"corporation":false,"usgs":false,"family":"Clarke","given":"Stephen","email":"","middleInitial":"L.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873771,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Domenech, Robert","contributorId":199743,"corporation":false,"usgs":false,"family":"Domenech","given":"Robert","email":"","affiliations":[{"id":35594,"text":"Raptor View Research Institute","active":true,"usgs":false}],"preferred":false,"id":873772,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":873773,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lamont, Myles","contributorId":305747,"corporation":false,"usgs":false,"family":"Lamont","given":"Myles","email":"","affiliations":[{"id":66287,"text":"TerraFauna Wildlife Consulting","active":true,"usgs":false}],"preferred":false,"id":873774,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Brian W.","contributorId":199748,"corporation":false,"usgs":false,"family":"Smith","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":17821,"text":"U.S. Fish and Wildlife Service, Division of Migratory Birds","active":true,"usgs":false}],"preferred":false,"id":873775,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stahlecker, Dale W.","contributorId":305748,"corporation":false,"usgs":false,"family":"Stahlecker","given":"Dale","email":"","middleInitial":"W.","affiliations":[{"id":66288,"text":"Eagle Environmental Inc","active":true,"usgs":false}],"preferred":false,"id":873776,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stuber, Matthew J.","contributorId":213765,"corporation":false,"usgs":false,"family":"Stuber","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":873777,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Warren, Wesley C.","contributorId":305750,"corporation":false,"usgs":false,"family":"Warren","given":"Wesley","email":"","middleInitial":"C.","affiliations":[{"id":66289,"text":"Univ of Missouri","active":true,"usgs":false}],"preferred":false,"id":873778,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Van Den Bussche, Ronald A.","contributorId":305751,"corporation":false,"usgs":false,"family":"Van Den Bussche","given":"Ronald A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":873779,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70243934,"text":"70243934 - 2023 - Ferruginous Hawk movements respond predictably to intra-annual variation but unexpectedly to anthropogenic habitats","interactions":[],"lastModifiedDate":"2023-09-20T16:15:42.515714","indexId":"70243934","displayToPublicDate":"2023-05-25T08:24:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Ferruginous Hawk movements respond predictably to intra-annual variation but unexpectedly to anthropogenic habitats","docAbstract":"Birds exhibit flexible movement responses to environmental variation across the annual cycle, and those responses can provide insight into potential impacts that environmental changes may have on these species. To understand year-round variation in space use by Ferruginous Hawks Buteo regalis, we tracked 12 birds breeding in southwestern Idaho, USA, using GPS telemetry collected over 207 bird-months. Home-range sizes of territorial adult hawks showed strong intra-annual variation, being smallest from April to June and largest from July to October. In contrast, juvenile birds (< 2 years old) did not appear to hold territories and showed no detectable intra-annual variation in ranging behaviour. Association with land-cover types by territorial birds varied between breeding and non-breeding months and was linked to home-range size. Home-range sizes of non-territorial birds were larger than those of territorial birds, and that size did not vary across the year. Association with anthropogenic habitats (irrigated cropland habitats that can provide high rodent densities and increased foraging opportunities) was negatively associated with home-range size in months of the non-breeding season. Unexpectedly, the opposite was true in the months of the breeding season, such that use of croplands resulted in larger home-ranges. Patterns in home-range size were probably linked to intrinsic factors such as the timing of breeding and migratory behaviour, and to extrinsic factors such as prey availability associated with specific land-cover types. These results have implications for our understanding of the response of Ferruginous Hawks and other similar species to predicted changes in land cover, and they suggest unexpected relationships between human activity and wildlife behaviour. Furthermore, because the birds we tracked used a large portion of western North America, they are probably relevant far beyond the small area where these individuals were trapped.
","language":"English","publisher":"Wiley","doi":"10.1111/ibi.13200","usgsCitation":"Isted, G.H., Thomas, R.J., Warner, K.S., Stuber, M.J., Ellsworth, E.A., and Katzner, T., 2023, Ferruginous Hawk movements respond predictably to intra-annual variation but unexpectedly to anthropogenic habitats: Ibis, v. 165, no. 4, p. 1156-1168, https://doi.org/10.1111/ibi.13200.","productDescription":"13 p.","startPage":"1156","endPage":"1168","ipdsId":"IP-135118","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":443351,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.13200","text":"Publisher Index Page"},{"id":417425,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Morley Nelson Snake River Birds of Prey National Conservation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.53411095454679,\n 43.487453198340944\n ],\n [\n -116.53411095454679,\n 42.82241710733882\n ],\n [\n -115.67122065178367,\n 42.82241710733882\n ],\n [\n -115.67122065178367,\n 43.487453198340944\n ],\n [\n -116.53411095454679,\n 43.487453198340944\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"165","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Isted, Georgia H.","contributorId":305783,"corporation":false,"usgs":false,"family":"Isted","given":"Georgia","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":873822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Robert J.","contributorId":305784,"corporation":false,"usgs":false,"family":"Thomas","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":873823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, Kevin S.","contributorId":245276,"corporation":false,"usgs":false,"family":"Warner","given":"Kevin","email":"","middleInitial":"S.","affiliations":[{"id":49127,"text":"Idaho Army National Guard","active":true,"usgs":false}],"preferred":false,"id":873824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stuber, Matthew J.","contributorId":213765,"corporation":false,"usgs":false,"family":"Stuber","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":873825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellsworth, Ethan A.","contributorId":201653,"corporation":false,"usgs":false,"family":"Ellsworth","given":"Ethan","email":"","middleInitial":"A.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":873826,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":873791,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70247104,"text":"70247104 - 2023 - Plague mitigation for prairie dog and black-footed ferret conservation: Degree and duration of flea control with 0.005% fipronil grain bait","interactions":[],"lastModifiedDate":"2023-07-26T11:04:36.758633","indexId":"70247104","displayToPublicDate":"2023-05-25T08:24:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10528,"text":"Current Research in Parasitology & Vector-borne Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Plague mitigation for prairie dog and black-footed ferret conservation: Degree and duration of flea control with 0.005% fipronil grain bait","docAbstract":"Sylvatic plague, a primarily flea-borne zoonosis, is a significant threat to prairie dogs (Cynomys spp., PDs) and their specialized predators, endangered black-footed ferrets (Mustela nigripes, BFFs). Host-fed fipronil baits have proven effective in controlling fleas on PDs for the purposes of plague mitigation and BFF conservation. Currently, annual treatments are the norm. We tested the long-term efficacy of fipronil bait treatments with black-tailed PDs (C. ludovicianus, BTPDs) and BFFs in South Dakota, USA. During 2018–2020, we provided BTPDs on 21 sites with grain bait formula, laced with 0.005% fipronil (50 mg/kg); 18 non-treated sites functioned as baselines. In 2020–2022, we live-trapped, anesthetized, and combed BTPDs for fleas. Flea control was significant for at least 639–885 days. Flea abundance on the treated sites was < 0.5 fleas/BTPD for ∼750 days. During 2020–2022, we sampled BFFs for fleas on 4 BTPD colonies treated with fipronil grain bait and 8 non-treated colonies. Flea control was significant with BFFs, but flea abundance began to rebound within ∼240 days post-treatment. When feasible, the combination of insecticide treatments, such as fipronil baits, and BFF vaccination against plague provide a “two-pronged” protection approach for these endangered carnivores. If fipronil bait treatments are less effective with predatory BFFs than PDs, as found herein, the “two-pronged” approach might be used to protect BFFs and biennial fipronil bait treatments might be used to protect PDs. If BFF vaccination is not possible, or few BFFs can be vaccinated, annual fipronil bait treatments might be used as a precaution to protect BFFs. Flea densities might be surveyed to determine when/where more frequent treatments seem useful.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.crpvbd.2023.100124","usgsCitation":"Eads, D.A., Livieri, T., Dobesh, P., Hughes, J.P., Fly, J., Redmond, H., Childers, E., Schwarz, M.S., and Biggins, D.E., 2023, Plague mitigation for prairie dog and black-footed ferret conservation: Degree and duration of flea control with 0.005% fipronil grain bait: Current Research in Parasitology & Vector-borne Diseases, v. 3, 100124, 9 p., https://doi.org/10.1016/j.crpvbd.2023.100124.","productDescription":"100124, 9 p.","ipdsId":"IP-150412","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":443353,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crpvbd.2023.100124","text":"Publisher Index Page"},{"id":435316,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PDS9DC","text":"USGS data release","linkHelpText":"Data on long-term flea control using fipronil grain bait with black-tailed prairie dogs, South Dakota, 2020-2022"},{"id":419296,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Badlands National Park, Buffalo Gap National Grassland, Conata Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.14529443985403,\n 43.9744709420126\n ],\n [\n -103.14529443985401,\n 43.716228993754726\n ],\n [\n -102,\n 43.7268645509329\n ],\n [\n -102,\n 43.96035047820948\n ],\n [\n -103.14529443985403,\n 43.9744709420126\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":878905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Livieri, Travis.","contributorId":317270,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis.","email":"","affiliations":[{"id":6753,"text":"Prairie Wildlife Research","active":true,"usgs":false}],"preferred":false,"id":878906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobesh, Phillip","contributorId":279889,"corporation":false,"usgs":false,"family":"Dobesh","given":"Phillip","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":878907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughes, John P.","contributorId":317320,"corporation":false,"usgs":false,"family":"Hughes","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":878908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fly, Jason","contributorId":299225,"corporation":false,"usgs":false,"family":"Fly","given":"Jason","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":878909,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Redmond, Holly","contributorId":299227,"corporation":false,"usgs":false,"family":"Redmond","given":"Holly","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":878910,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Childers, Eddie","contributorId":279890,"corporation":false,"usgs":false,"family":"Childers","given":"Eddie","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":878911,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schwarz, Matthew S.","contributorId":304228,"corporation":false,"usgs":false,"family":"Schwarz","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":878912,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":878913,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70243907,"text":"70243907 - 2023 - Establishing an in vitro model to assess the toxicity of 6PPD-quinone and other tire wear transformation products","interactions":[],"lastModifiedDate":"2023-06-27T16:58:24.03837","indexId":"70243907","displayToPublicDate":"2023-05-25T08:08:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7485,"text":"Environmental Science and Technology Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Establishing an in vitro model to assess the toxicity of 6PPD-quinone and other tire wear transformation products","title":"Establishing an in vitro model to assess the toxicity of 6PPD-quinone and other tire wear transformation products","docAbstract":"The tire wear transformation product 6PPD-quinone (6PPDQ) has been implicated as the causative factor for broad scale mortality events for coho salmon in the Pacific Northwest. Highly variable sensitivity to 6PPDQ in closely related salmonids complicates efforts to evaluate the broader toxicological impacts to aquatic ecosystems. Our goals were to (1) validate the large range of in vivo species sensitivities reported for coho, Chinook, and sockeye salmon and (2) develop an in vitro platform for assessing 6PPDQ toxicity. In vivo studies confirmed the acute sensitivity of juvenile coho (12 h LC50 = 80.4 ng/L) and demonstrated that sockeye salmon were not vulnerable to mortality. Chinook salmon were sensitive to 6PPDQ mortality at initial concentrations >25 μg/L, ∼10-fold greater than reported environmental measurements. In vitro, the coho salmon cell line CSE-119 was acutely sensitive to 6PPDQ (metabolic EC50 = 7.9 μg/L, cytotoxicity EC50 = 6.1 μg/L). Analogous Chinook (CHSE-214) and sockeye salmon (SSE-5) cell lines were nonresponsive in both assays, and rainbow trout RTG-2 cells began showing metabolic effects at 68 μg/L (EC5). Recreation of species-specific 6PPDQ sensitivity in vitro implicates conserved modes of action in CSE-119 that could be utilized for mechanistic studies of 6PPDQ toxicity and screening of other PPD transformation products.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.estlett.3c00196","usgsCitation":"Greer, J.B., Dalsky, E.M., Lane, R.F., and Hansen, J.D., 2023, Establishing an in vitro model to assess the toxicity of 6PPD-quinone and other tire wear transformation products: Environmental Science and Technology Letters, v. 10, no. 6, p. 533-537, https://doi.org/10.1021/acs.estlett.3c00196.","productDescription":"5 p.","startPage":"533","endPage":"537","ipdsId":"IP-151440","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":443356,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.estlett.3c00196","text":"Publisher Index Page"},{"id":435317,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98HOI3I","text":"USGS data release","linkHelpText":"Assessing cell line models for species differences in 6PPD-quinone sensitivity"},{"id":417424,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":873696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalsky, Ellie Maureen 0000-0001-8299-7198","orcid":"https://orcid.org/0000-0001-8299-7198","contributorId":265182,"corporation":false,"usgs":true,"family":"Dalsky","given":"Ellie","email":"","middleInitial":"Maureen","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":873697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":873698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, John D. 0000-0002-3006-2734","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":220725,"corporation":false,"usgs":true,"family":"Hansen","given":"John","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":873699,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70243931,"text":"70243931 - 2023 - Tree symbioses sustain nitrogen fixation despite excess nitrogen supply","interactions":[],"lastModifiedDate":"2023-05-25T13:07:02.863717","indexId":"70243931","displayToPublicDate":"2023-05-25T07:35:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Tree symbioses sustain nitrogen fixation despite excess nitrogen supply","docAbstract":"Symbiotic nitrogen fixation (SNF) is a key ecological process whose impact depends on the strategy of SNF regulation—the degree to which rates of SNF change in response to limitation by N versus other resources. SNF that is obligate or exhibits incomplete downregulation can result in excess N fixation, whereas a facultative SNF strategy does not. We hypothesized that tree-based SNF strategies differed by latitude (tropical vs. temperate) and symbiotic type (actinorhizal vs. rhizobial). Specifically, we expected tropical rhizobial symbioses to display strongly facultative SNF as an explanation of their success in low-latitude forests. In this study we used 15N isotope dilution field experiments in New York, Oregon, and Hawaii to determine SNF strategies in six N-fixing tree symbioses. Nitrogen fertilization with +10 and +15 g N m−2 year−1 for 4–5 years alleviated N limitation in all taxa, paving the way to determine SNF strategies. Contrary to our hypothesis, all six of the symbioses we studied sustained SNF even at high N. Robinia pseudoacacia (temperate rhizobial) fixed 91% of its N (%Ndfa) in controls, compared to 64% and 59% in the +10 and +15 g N m−2 year−1 treatments. For Alnus rubra (temperate actinorhizal), %Ndfa was 95%, 70%, and 60%. For the tropical species, %Ndfa was 86%, 80%, and 82% for Gliricidia sepium (rhizobial); 79%, 69%, and 67% for Casuarina equisetifolia (actinorhizal); 91%, 42%, and 67% for Acacia koa (rhizobial); and 60%, 51%, and 19% for Morella faya (actinorhizal). Fertilization with phosphorus did not stimulate tree growth or SNF. These results suggest that the latitudinal abundance distribution of N-fixing trees is not caused by a shift in SNF strategy. They also help explain the excess N in many forests where N fixers are common.
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A.","contributorId":305758,"corporation":false,"usgs":false,"family":"Carreras Pereira","given":"K. 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Review of genetic rescue as a conservation tool for brook trout","interactions":[],"lastModifiedDate":"2023-05-31T12:26:34.070576","indexId":"70244013","displayToPublicDate":"2023-05-25T07:25:35","publicationYear":"2023","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":"Is now the time? Review of genetic rescue as a conservation tool for brook trout","docAbstract":"Brook trout populations have been declining throughout their native range in the east coast of the United States. Many populations are now distributed in small, isolated habitat patches where low genetic diversity and high rates of inbreeding reduce contemporary viability and long-term adaptive potential. Although human-assisted gene flow could theoretically improve conservation outcomes through genetic rescue, there is widespread hesitancy to use this tool to support brook trout conservation. Here, we review the major uncertainties that have limited genetic rescue from being considered as a viable conservation tool for isolated brook trout populations and compare the risks of genetic rescue with other management alternatives. Drawing on theoretical and empirical studies, we discuss methods for implementing genetic rescue in brook trout that could yield long-term evolutionary benefits while avoiding negative fitness effects associated with outbreeding depression and the spread of maladapted alleles. We also highlight the potential for future collaborative efforts to accelerate our understanding of genetic rescue as a viable tool for conservation. Ultimately, while we acknowledge that genetic rescue is not without risk, we emphasize the merits that this tool offers for protecting and propagating adaptive potential and improving species' resilience to rapid environmental change.
Species often exhibit regionally specific habitat associations, so habitat association models developed in one region might not be accurate or even appropriate for other regions. Three programs to survey wetland-breeding birds covering (respectively) Great Lakes coastal wetlands, inland Great Lakes wetlands, and the Prairie Pothole Region offer an opportunity to test whether regionally specific models of habitat use by wetland-obligate breeding birds are transferrable across regions. We first developed independent, regional population density models for four species of wetland-obligate birds: Pied-billed Grebe (Podilymbus podiceps), Virginia Rail (Rallus limicola), Sora (Porzana carolina), and American Bittern (Botaurus lentiginosus). We then used adjusted pseudo-R2 values to compare the amount of variation explained by each model when applied to data collected in each of the three regions. Although certain habitat characteristics, such as emergent vegetation and wetland area, were consistently important across regions, models for each species differed by region—both in variables selected for inclusion and often in the directionality of relationships for common variables—indicating that habitat associations for these species are regionally specific. When we applied a model developed in one region to data collected in another region, we found that explanatory power was reduced in most (71%) models. Therefore, we suggest that ecological analyses should emphasize regionally specific habitat association models whenever possible. Nonetheless, models created from inland Great Lakes wetland data had higher median explanatory power when applied to other regions, and the amount of explanatory power lost by other transferred models was relatively small. Thus, while regionally specific habitat association models are preferable, in the absence of reliable regional data, habitat association models developed in one region may be applied to another region, but the results need to be cautiously interpreted. Additionally, we found that median explanatory power was higher when local-scale habitat characteristics were included in the models, indicating that regionally specific models should ideally be based on a combination of local- and landscape-scale habitat characteristics. Conservation practitioners can leverage such regionally specific models and associated monitoring data to help prioritize areas for management activities that contribute to regional conservation efforts.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4499","usgsCitation":"Elliott, L.H., Bracey, A.M., Niemi, G.J., Johnson, D., Gehring, T.M., Gnass Giese, E.E., Fiorino, G.E., Howe, R.W., Lawrence, G.A., Norment, C.J., Tozer, D.C., and Igl, L., 2023, Application of habitat association models across regions: Useful explanatory power retained in wetland bird case study: Ecosphere, v. 14, no. 5, e4499, 19 p., https://doi.org/10.1002/ecs2.4499.","productDescription":"e4499, 19 p.","ipdsId":"IP-109710","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":443363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4499","text":"Publisher Index Page"},{"id":417421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Illinois, Indiana, Michigan, Minnesota, New York, North Dakota, 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guide","interactions":[],"lastModifiedDate":"2023-06-28T15:26:29.061119","indexId":"70244170","displayToPublicDate":"2023-05-25T06:46:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to the digitization of seismic data: A user’s guide","docAbstract":"Modern seismic data are collected, distributed, and analyzed using digital formats, and this has become a standard for the field. Although most modern seismometers still make use of analog electronic circuits, their data are converted from an analog voltage output to time‐tagged counts by way of digitization. Although much of the digitization process is not complicated to conceptualize, there is a fair bit of jargon in digitizer specifications, and a few pitfalls that can arise in the processes of recording and analyzing ground‐motion data. In this article, we review some of the fundamental physical properties of data acquisition systems and the basic steps in digitizing data from an analog instrument (specifically a seismometer). We then briefly discuss the digitization process and some of the key properties needed to make these data useful for seismological applications. Finally, we discuss some of the filtering processes that naturally arise from digitization and how it can affect the processing workflow. The end goal is to provide a user guide that will enable seismologists to have a working knowledge of the digitization process. We focus on aspects central to seismological applications and have tried to avoid getting bogged down in signal processing formalism.
We evaluated wildlife population health from the perspective of statistical means vs. variances. We outlined the choices necessary to provide the framework for our study. These consisted of spatial and temporal boundaries (e.g., choice of sentinel species, populations, time frame), measurement techniques (molecular to population level), and appropriate statistical analyses. We chose to assess the health of 19 sea otter populations, located in the north Pacific from the Aleutian Islands, AK, to Santa Barbara, CA, and varying in population growth rates and length of occupancy. Our focal metric was gene expression (i.e., mRNA transcripts) data that we had previously generated across sea otter populations as a measure of population health. We used statistical methods with different approaches (i.e., means vs. variances) and examined the subsequent interpretive outcomes and how these influence our assessment of “health.” Interpretations based on analyses using variances versus means overlapped to some degree. In general, sea otter populations with low variation in gene expression were limited by food resources and at or near carrying capacity. In populations where the variation in gene expression was moderate or high, four out of five populations were increasing in abundance, or had been recently increasing. Where we had additional information on sources of stressors at the level of the population, we were able to draw inferences from those stressors to specific gene expression results. For example, gene expression patterns of sea otters from Western Prince William Sound were consistent with long term exposure to petroleum hydrocarbons, whereas in Kachemak Bay, patterns were consistent with exposure to algal toxins. Ultimately, determination of population or ecosystem health will be most informative when multiple metrics are examined across disciplines in the context of specific scenarios and goals.
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For aquatic insects in small streams, overland flight is an important strategy for dispersal when barriers to in-stream migration exist and when populations are isolated in upland habitats. Two Ozark-endemic water beetles (Heterosternuta sulphuria and Heterosternuta phoebeae) have shown little overlap in distributions, with the former frequently occurring in small upland watersheds and the latter occurring in aquatic habitats farther downstream in larger watersheds. Because H. sulphuria has been associated with perennial aquatic habitats, we hypothesized that H. sulphuria individuals could exhibit low capacity for flight, thereby affecting population distributions over time. Laboratory flight observations showed that zero individuals of H. sulphuria flew (n = 67), whereas 17 of 76 individuals of H. phoebeae were observed to fly. Stream habitat drying experiments provided further evidence of the weak capacity for flight and overland migration of H. sulphuria, with low probabilities of survivorship in microhabitats exposed to drying. Weak flight capacity and apparent intolerance to habitat drying have important implications for the evolutionary history and conservation of H. sulphuria in small Ozark streams exposed to variable flow regimes and stream margins vulnerable to disturbances.
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\"}}]}","volume":"2","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Longing, Scott","contributorId":204728,"corporation":false,"usgs":false,"family":"Longing","given":"Scott","email":"","affiliations":[],"preferred":false,"id":907483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907484,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70243887,"text":"70243887 - 2023 - Recognizing political influences in participatory social-ecological systems modeling","interactions":[],"lastModifiedDate":"2023-05-24T19:19:55.098091","indexId":"70243887","displayToPublicDate":"2023-05-24T14:05:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14448,"text":"Socio-Environmental Systems Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Recognizing political influences in participatory social-ecological systems modeling","docAbstract":"Stakeholder participation in social-ecological systems (SES) modeling is increasingly considered a desirable way to elicit diverse sources of knowledge about SES behavior and to promote inclusive decision-making in SES. Understanding how participatory modeling processes function in the context of long-term adaptive management of SES may allow for better design of participatory processes to achieve the intended outcomes of inclusionary knowledge, representativeness, and social learning, while avoiding unintended outcomes. Long-term adaptive management contexts often include political influences -- attempts to shift or preserve power structures and authority, and efforts to represent the political and economic interests of stakeholders -- in the computer models that are used to shape policy making and implementation. In this research, we examine a period that included a major transition in the watershed model used for management of the Chesapeake Bay in the United States. The Chesapeake Bay watershed model has been in development since the 1980s, and is considered by many to be an exemplary case of participatory modeling. We use documentary analysis and interviews with participants involved in the model application and development transition to reveal a variety of ways in which participatory modeling may be subject to different kinds of political influences, some of which resulted in unintended outcomes, including: perceptions of difficulty updating the model in substantive ways, “gaming” of the model/participatory process by stakeholders, and increasing resistance against considering uncertainty in the system not captured by the model. This research suggests unintended or negative outcomes may be associated with both participatory decision-making and stakeholder learning even though they are so often touted as the benefits of participatory modeling. We end with a hypothesis that further development of a theory of computer model governance to bridge model impact and broader theories of environmental governance at the science-policy interface may result in improved SES modeling outcomes.
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