{"pageNumber":"45","pageRowStart":"1100","pageSize":"25","recordCount":11004,"records":[{"id":70227179,"text":"70227179 - 2022 - Population genetics of Brook Trout (Salvelinus fontinalis) in the southern Appalachian Mountains","interactions":[],"lastModifiedDate":"2022-03-28T16:34:32.669545","indexId":"70227179","displayToPublicDate":"2021-10-03T10:21:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Population genetics of Brook Trout (Salvelinus fontinalis) in the southern Appalachian Mountains","title":"Population genetics of Brook Trout (Salvelinus fontinalis) in the southern Appalachian Mountains","docAbstract":"Broad-scale patterns of genetic diversity for Brook Trout remain poorly understood across their endemic range in the eastern United States. We characterized variation at 12 microsatellite loci in 22,020 Brook Trout among 836 populations from Georgia, USA to Quebec, Canada to the western Great Lakes region. Within-population diversity was typically lower in the southern Appalachians relative to the mid-Atlantic and northeastern regions. Effective population sizes in the southern Appalachians were often very small, with many estimates less than 30 individuals. The population genetics of Brook Trout in the southern Appalachians are far more complex than a conventionally held simple “northern” versus “southern” dichotomy would suggest. Contemporary population genetic variation was consistent with geographic expansion of Brook Trout from Mississippian, mid-Atlantic, and Acadian glacial refuges, as well as differentiation among drainages within these broader clades. Genetic variation was pronounced among drainages (57.4% of overall variation occurred among Hydrologic Unit Code (HUC)10 or larger units) but was considerable even at fine spatial scales (13% of variation occurred among collections within HUC12 drainage units). Remarkably, 87.2% of individuals were correctly assigned to their collection of origin. While comparisons with fish from existing major hatcheries showed impacts of stocking in some populations, genetic introgression did not overwhelm the signal of broad-scale patterns of population genetic structure. Although our results reveal deep genetic structure in Brook Trout over broad spatial extents, fine-scale population structuring is prevalent across the southern Appalachians. Our findings highlight the distinctiveness and vulnerability of many Brook Trout populations in the southern Appalachian Mountains and have important implications for wild Brook Trout management. To facilitate application of our findings by conservation practitioners, we provide an interactive online visualization tool to allow our results to be explored at management relevant scales.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10337","usgsCitation":"Kazyak, D., Lubinski, B.A., Kulp, M.A., Pregler, K., Whiteley, A.R., Hallerman, E.M., Coombs, J.A., Kanno, Y., Rash, J., Morgan II, R., Habera, J., Henegar, J., Weathers, T., Sell, M.T., Rabern, A., Rankin, D., and King, T., 2022, Population genetics of Brook Trout (Salvelinus fontinalis) in the southern Appalachian Mountains: Transactions of the American Fisheries Society, v. 151, no. 2, p. 127-149, https://doi.org/10.1002/tafs.10337.","productDescription":"23 p.","startPage":"127","endPage":"149","ipdsId":"IP-126747","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":449683,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/tafs.10337","text":"External Repository"},{"id":393864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia, West Virginia","otherGeospatial":"southern Appalachian Mountians","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.375732421875,\n 36.30627216957992\n ],\n [\n -79.38720703125,\n 36.30627216957992\n ],\n [\n -79.38720703125,\n 38.66835610151506\n ],\n [\n -81.375732421875,\n 38.66835610151506\n ],\n [\n -81.375732421875,\n 36.30627216957992\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"151","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":829940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":829941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kulp, Matt A.","contributorId":196801,"corporation":false,"usgs":false,"family":"Kulp","given":"Matt","email":"","middleInitial":"A.","affiliations":[{"id":35484,"text":"National Park Service, Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":829942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pregler, K. 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Casey","contributorId":270747,"corporation":false,"usgs":false,"family":"Weathers","given":"T. Casey","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":829952,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sell, Matthew T.","contributorId":261510,"corporation":false,"usgs":false,"family":"Sell","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":829953,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rabern, Anthony","contributorId":270748,"corporation":false,"usgs":false,"family":"Rabern","given":"Anthony","email":"","affiliations":[{"id":56207,"text":"GA Dept Natural Resources","active":true,"usgs":false}],"preferred":false,"id":829954,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rankin, Dan","contributorId":270749,"corporation":false,"usgs":false,"family":"Rankin","given":"Dan","email":"","affiliations":[{"id":56208,"text":"SC Dept Natural Resources","active":true,"usgs":false}],"preferred":false,"id":829955,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"King, Tim L.","contributorId":236903,"corporation":false,"usgs":false,"family":"King","given":"Tim L.","affiliations":[],"preferred":false,"id":829956,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70225169,"text":"70225169 - 2022 - A stable isotope record of late Quaternary hydrologic change in the northwestern Brooks Range, Alaska (eastern Beringia)","interactions":[],"lastModifiedDate":"2023-03-24T17:01:40.985278","indexId":"70225169","displayToPublicDate":"2021-09-21T07:54:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"A stable isotope record of late Quaternary hydrologic change in the northwestern Brooks Range, Alaska (eastern Beringia)","docAbstract":"

A submillennial-resolution record of lake water oxygen isotope composition (δ18O) from chironomid head capsules is presented from Burial Lake, northwest Alaska. The record spans the Last Glacial Maximum (LGM; ~20–16k cal a bp) to the present and shows a series of large lake δ18O shifts (~5‰). Relatively low δ18O values occurred during a period covering the LGM, when the lake was a shallow, closed-basin pond. Higher values characterize deglaciation (~16–11.5k cal a bp) when the lake was still closed but lake levels were higher. A rapid decline between ~11 and 10.5k cal a bp indicates that lake levels rose to overflowing. Lake δ18O values are interpreted to reflect the combined effects of changes in lake hydrology, growing season temperature and meteoric source water as well as large-scale environmental changes impacting this site, including opening of the Bering Strait and shifts in atmospheric circulation patterns related to ice-sheet dynamics. The results indicate significant shifts in precipitation minus evaporation across the late Pleistocene to early Holocene transition, which are consistent with temporal patterns of vegetation change and paludification. This study provides new perspectives on the paleohydrology of eastern Beringia concomitant with human migration and major turnover in megafaunal assemblages.

","language":"English","publisher":"Wiley","doi":"10.1002/jqs.3368","usgsCitation":"King, A.L., Anderson, L., Abbott, M., Edwards, M., Finkenbinder, M.S., Finney, B., and Wooller, M.J., 2022, A stable isotope record of late Quaternary hydrologic change in the northwestern Brooks Range, Alaska (eastern Beringia): Journal of Quaternary Science, v. 37, no. 5, p. 928-943, https://doi.org/10.1002/jqs.3368.","productDescription":"16 p.","startPage":"928","endPage":"943","ipdsId":"IP-126888","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":449701,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1981417","text":"External Repository"},{"id":390562,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -167.6953125,\n 64.51064316846676\n ],\n [\n -140.9765625,\n 64.51064316846676\n ],\n [\n -140.9765625,\n 71.11677038645317\n ],\n [\n -167.6953125,\n 71.11677038645317\n ],\n [\n -167.6953125,\n 64.51064316846676\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-09-21","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Amanda L.","contributorId":267771,"corporation":false,"usgs":false,"family":"King","given":"Amanda","email":"","middleInitial":"L.","affiliations":[{"id":55492,"text":"University of Alaska Fairbanks; Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":825236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":825237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abbott, Mark B.","contributorId":267772,"corporation":false,"usgs":false,"family":"Abbott","given":"Mark B.","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":825238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, Mary","contributorId":267773,"corporation":false,"usgs":false,"family":"Edwards","given":"Mary","affiliations":[{"id":37955,"text":"University of Southampton","active":true,"usgs":false}],"preferred":false,"id":825239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finkenbinder, Matthew S.","contributorId":267774,"corporation":false,"usgs":false,"family":"Finkenbinder","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":55493,"text":"Wilkes University","active":true,"usgs":false}],"preferred":false,"id":825240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finney, Bruce P.","contributorId":267775,"corporation":false,"usgs":false,"family":"Finney","given":"Bruce P.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":825241,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wooller, Matthew J.","contributorId":267776,"corporation":false,"usgs":false,"family":"Wooller","given":"Matthew","middleInitial":"J.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":825242,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70224540,"text":"70224540 - 2022 - Targeted and non-targeted analysis of young-of-year smallmouth bass using comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry","interactions":[],"lastModifiedDate":"2021-10-06T16:04:22.992337","indexId":"70224540","displayToPublicDate":"2021-09-16T10:03:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Targeted and non-targeted analysis of young-of-year smallmouth bass using comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry","docAbstract":"

Smallmouth bass in the Susquehanna River Basin, Chesapeake Bay Watershed, USA, have been exhibiting clinical signs of disease and reproductive endocrine disruption (e.g., intersex, male plasma vitellogenin) for over fifteen years. Previous histological and targeted chemical analyses have identified infectious agents and pollutants in fish tissues including organic contaminants, mercury, and perfluorinated compounds, but a common causative link for the observed signs of disease across this widespread area has not been determined. This study examines 146 young-of-year smallmouth bass collected from 14 sampling sites in the Susquehanna River Basin, Pennsylvania, USA with varying levels of disease prevalence. Whole fish were extracted by a recently developed modification to the quick, easy, cheap, effective, rugged, and safe extraction method and analyzed by comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry. A targeted analysis was conducted to identify the presence and quantity of 127 known contaminants, including polychlorinated biphenyls, brominated diphenyl ethers, organochlorinated pesticides, and pharmaceutical and personal care products. A non-targeted analysis was conducted on the same data set to identify analytes of interest not included on routine target compound lists. Chromatographic alignment through Statistical Compare (ChromaTOF GC) was followed by Fisher ratio and principal component analysis to reduce the data set from thousands of peaks per sample to a final data set of 65 analytes of interest. Comparisons of these 65 compounds between Normal (no observed health anomalies) and Lesioned (observed health anomaly at time of collection) fish revealed increased levels of three chemical families in Lesioned fish including esters, ketones, and nitrogen containing compounds.

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vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":823987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorman, Frank L","contributorId":236876,"corporation":false,"usgs":false,"family":"Dorman","given":"Frank","email":"","middleInitial":"L","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":823988,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236513,"text":"70236513 - 2022 - The 6 May 1947 Milwaukee, Wisconsin, earthquake","interactions":[],"lastModifiedDate":"2022-09-09T11:58:51.284302","indexId":"70236513","displayToPublicDate":"2021-09-15T06:56:30","publicationYear":"2022","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":"The 6 May 1947 Milwaukee, Wisconsin, earthquake","docAbstract":"

The State of Wisconsin is not known for earthquake activity. The authoritative public‐facing U.S. Geological Survey Comprehensive Catalog of earthquakes includes only three small (magnitude < 2) earthquakes in the state, all instrumentally recorded. Although other catalogs include more events in Wisconsin, experience has shown that many types of events, such as explosions and cryoseisms, have made their way into earthquake catalogs in this region. In this short report, I summarize available information about an earthquake that was felt in eastern Wisconsin at 15:27 local time on 6 May 1947. As what appears to be the largest historical earthquake in the State of Wisconsin, it is of public interest, its modest size notwithstanding. It appears that no useful instrumental records exist, due in part to a teleseismic event that occurred approximately 3 min later, generating surface waves that were recorded on early long‐period instruments in the region. Instrumental data may exist for this event but have not been found. Comparing the felt area with information from recent earthquakes in the region, I estimate an intensity magnitude of 3.8 for the event, with a subjectively estimated uncertainty range 3.5–4.1. Relatively strong effects, including reports of broken dishes in Milwaukee, and shaking described as short but especially sharp, suggest that the event may have been among the sprinkling of shallow earthquakes now known to occur in the upper Great Lakes region.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210150","usgsCitation":"Hough, S.E., 2022, The 6 May 1947 Milwaukee, Wisconsin, earthquake: Seismological Research Letters, v. 93, no. 1, p. 402-412, https://doi.org/10.1785/0220210150.","productDescription":"11 p.","startPage":"402","endPage":"412","ipdsId":"IP-129832","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":406439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.07714843749999,\n 42.27730877423709\n ],\n [\n -87.2314453125,\n 42.27730877423709\n ],\n [\n -87.2314453125,\n 43.57243174740972\n ],\n [\n -89.07714843749999,\n 43.57243174740972\n ],\n [\n -89.07714843749999,\n 42.27730877423709\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"93","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851287,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70223912,"text":"70223912 - 2022 - Integrating seabird dietary and groundfish stock assessment data: Can puffins predict pollock spawning stock biomass in the North Pacific?","interactions":[],"lastModifiedDate":"2022-01-06T17:17:17.475902","indexId":"70223912","displayToPublicDate":"2021-09-13T07:13:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1652,"text":"Fish and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Integrating seabird dietary and groundfish stock assessment data: Can puffins predict pollock spawning stock biomass in the North Pacific?","docAbstract":"

Information on the annual variability in abundance and growth of juvenile groundfish can be useful for predicting fisheries stocks, but is often poorly known owing to difficulties in sampling fish in their first year of life. In the Western Gulf of Alaska (WGoA) and Eastern Bering Sea (EBS) ecosystems, three species of puffin (tufted and horned puffin, Fratercula cirrhata, Fratercula corniculata, and rhinoceros auklet, Cerorhinca monocerata, Alcidae), regularly prey upon (i.e., “sample”) age-0 groundfish, including walleye pollock (Gadus chalcogramma, Gadidae) and Pacific cod (Gadus microcephalus, Gadidae). Here, we test the hypothesis that integrating puffin dietary data with walleye pollock stock assessment data provides information useful for fisheries management, including indices of interannual variation in age-0 abundance and growth. To test this hypothesis, we conducted cross-correlation and regression analyses of puffin-based indices and spawning stock biomass (SSB) for the WGoA and EBS walleye pollock stocks. For the WGoA, SSB leads the abundance of age-0 fish in the puffin diet, indicating that puffins sample the downstream production of the WGoA spawning stock. By contrast, the abundance and growth of age-0 fish sampled by puffins lead SSB for the EBS stock by 1–3 years, indicating that the puffin diet proxies incoming year class strength for this stock. Our study indicates connectivity between the WGoA and EBS walleye pollock stocks. Integration of non-traditional data sources, such as seabird diet data, with stock assessment data appears useful to inform information gaps important for managing US fisheries in the North Pacific.

","language":"English","publisher":"Wiley","doi":"10.1111/faf.12611","usgsCitation":"Sydeman, W., Thompson, S.A., Piatt, J., Zador, S., and Dorn, M.W., 2022, Integrating seabird dietary and groundfish stock assessment data: Can puffins predict pollock spawning stock biomass in the North Pacific?: Fish and Fisheries, v. 23, no. 18, p. 213-226, https://doi.org/10.1111/faf.12611.","productDescription":"14 p.","startPage":"213","endPage":"226","ipdsId":"IP-123820","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":449709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/faf.12611","text":"Publisher Index Page"},{"id":389206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -171.123046875,\n 52.3755991766591\n ],\n [\n -148.0517578125,\n 52.3755991766591\n ],\n [\n -148.0517578125,\n 61.56457388515458\n ],\n [\n -171.123046875,\n 61.56457388515458\n ],\n [\n -171.123046875,\n 52.3755991766591\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"18","noUsgsAuthors":false,"publicationDate":"2021-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Sydeman, William J.","contributorId":172574,"corporation":false,"usgs":false,"family":"Sydeman","given":"William J.","affiliations":[],"preferred":false,"id":823230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Sarah Ann","contributorId":198394,"corporation":false,"usgs":false,"family":"Thompson","given":"Sarah","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":823231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":244053,"corporation":false,"usgs":true,"family":"Piatt","given":"John F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":823232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zador, Stephani","contributorId":60992,"corporation":false,"usgs":false,"family":"Zador","given":"Stephani","affiliations":[],"preferred":false,"id":823233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dorn, Martin W.","contributorId":3517,"corporation":false,"usgs":false,"family":"Dorn","given":"Martin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":823302,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70232697,"text":"70232697 - 2022 - Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy","interactions":[],"lastModifiedDate":"2022-07-12T13:31:32.868472","indexId":"70232697","displayToPublicDate":"2021-06-01T08:25:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy","docAbstract":"

A central challenge in applied ecology is understanding the effect of anthropogenic fatalities on wildlife populations and predicting which populations may be particularly vulnerable and in greatest need of management attention. We used 3 approaches to investigate potential effects of fatalities from collisions with wind turbines on 14 raptor species for both current (106 GW) and anticipated future (241 GW) levels of installed wind energy capacity in the United States. Our goals were to identify species at relatively high vs low risk of experiencing population declines from turbine collisions and to also compare results generated from these approaches. Two of the approaches used a calculated turbine-caused mortality rate to decrement population growth, where population trends were derived either from the North American Breeding Bird Survey or a matrix model parameterized from literature-derived demographic values. The third approach was potential biological removal, which estimates the number of fatalities that allow a population to reach and maintain its optimal sustainable population set by management concerns. Different results among the methods reveal substantial gaps in knowledge and uncertainty in both demographic parameters and species-specific estimates of fatalities from wind turbines. Our results suggest that, of the 14 species studied, those with relatively higher potential of population-level impacts from wind turbine collisions included barn owl, ferruginous hawk, golden eagle, American kestrel, and red-tailed hawk. Burrowing owl, Cooper’s hawk, great horned owl, northern harrier, turkey vulture, and osprey had a relatively lower potential for population impacts, and results were not easily interpretable for merlin, prairie falcon, and Swainson’s hawk. Projections of current levels of fatalities to future wind energy scenarios at 241 GW of installed capacity suggest some species could experience population declines because of turbine collisions. Populations of those species may benefit from research to identify tools to prevent or reduce raptor collisions with wind turbines.

","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.3531","usgsCitation":"Diffendorfer, J., Stanton, J.C., Beston, J.A., Thogmartin, W.E., Loss, S., Katzner, T., Johnson, D., Erickson, R.A., Merrill, M., and Corum, M.D., 2022, Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy: Ecosphere, v. 12, no. 6, e03531, 17 p., https://doi.org/10.1002/ecs2.3531.","productDescription":"e03531, 17 p.","ipdsId":"IP-108806","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":488848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3531","text":"Publisher Index Page"},{"id":403472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":846312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":846313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beston, Julie A. jbeston@usgs.gov","contributorId":5673,"corporation":false,"usgs":true,"family":"Beston","given":"Julie","email":"jbeston@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":846314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":846315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loss, Scott R.","contributorId":140471,"corporation":false,"usgs":false,"family":"Loss","given":"Scott R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":846316,"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":846317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":220516,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":846318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":846319,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":846320,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Corum, Margo D. 0000-0002-9038-3935","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":210593,"corporation":false,"usgs":true,"family":"Corum","given":"Margo","email":"","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":846321,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70220864,"text":"70220864 - 2022 - Atlantic sturgeon status and movement ecology in an extremely small spawning habitat: The Nanticoke River-Marshyhope Creek, Chesapeake Bay","interactions":[],"lastModifiedDate":"2022-03-28T15:26:40.144397","indexId":"70220864","displayToPublicDate":"2021-05-20T07:14:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5984,"text":"Reviews in Fisheries Science and Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Atlantic sturgeon status and movement ecology in an extremely small spawning habitat: The Nanticoke River-Marshyhope Creek, Chesapeake Bay","docAbstract":"

Biotelemetry of Atlantic sturgeon Acipenser oxyrinchus oxyrinchus has exposed spawning behaviors in ever-smaller estuaries, surprising for the NW Atlantic’s largest anadromous species. Small estuary — the Nanticoke River and Marshyhope Creek (Chesapeake Bay) — spawning-run adults and their habitat affinities are described based upon direct sampling and biotelemetry for the period 2014–2018. High rates of recapture over this period indicate a very small adult population size. Genetics revealed a very small effective population size (Ne = 12.2, 95% CI = 6.7–21.9). Most returns occurred during September at 20–27 °C. All fish departed as fall temperatures declined below 20 °C. Multi-beam sonar identified small-dispersed areas of sand-cobble and cobble, which could support adhesive embryo attachment. Movements of adults were higher during nighttime than daytime, with habitat preference for hard bottom habitats. Genetic evidence indicates that the sudden discovery of this population was unrelated to a hatchery release of several thousand juvenile sturgeon (Hudson River progeny) in 1997. The newly discovered population in the Nanticoke River exhibits a degree of resilience including multiple spawning regions and suitable spawning habitat. Still, critical vulnerabilities persist including curtailed habitat, continued agricultural and maritime development, invasive blue catfish, and a very small apparent population size.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23308249.2021.1924617","usgsCitation":"Secor, D.H., O’Brien, M.H., Coleman, N., Horne, A., Park, I., Kazyak, D., Bruce, D.G., and Stence, C., 2022, Atlantic sturgeon status and movement ecology in an extremely small spawning habitat: The Nanticoke River-Marshyhope Creek, Chesapeake Bay: Reviews in Fisheries Science and Aquaculture, v. 30, no. 2, p. 195-214, https://doi.org/10.1080/23308249.2021.1924617.","productDescription":"20 p.","startPage":"195","endPage":"214","ipdsId":"IP-126059","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":385977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland","otherGeospatial":"Nanticoke River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.87432861328125,\n 38.20581359813473\n ],\n [\n -75.56396484375,\n 38.62974534092597\n ],\n [\n -75.79193115234374,\n 38.76050866911151\n ],\n [\n -75.98693847656249,\n 38.31795595794451\n ],\n [\n -75.87432861328125,\n 38.19718009396176\n ],\n [\n -75.87432861328125,\n 38.20581359813473\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Secor, D. H. 0000-0001-6007-4827","orcid":"https://orcid.org/0000-0001-6007-4827","contributorId":258784,"corporation":false,"usgs":false,"family":"Secor","given":"D.","email":"","middleInitial":"H.","affiliations":[{"id":52289,"text":"UMCES Chesapeake Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":816495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Brien, M. H. P. 0000-0003-1420-6395","orcid":"https://orcid.org/0000-0003-1420-6395","contributorId":258785,"corporation":false,"usgs":false,"family":"O’Brien","given":"M.","email":"","middleInitial":"H. P.","affiliations":[{"id":52289,"text":"UMCES Chesapeake Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":816496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coleman, N.","contributorId":258786,"corporation":false,"usgs":false,"family":"Coleman","given":"N.","email":"","affiliations":[{"id":52289,"text":"UMCES Chesapeake Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":816497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horne, A.","contributorId":150968,"corporation":false,"usgs":false,"family":"Horne","given":"A.","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":816498,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Park, I.","contributorId":258801,"corporation":false,"usgs":false,"family":"Park","given":"I.","email":"","affiliations":[],"preferred":false,"id":816499,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":816500,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bruce, D. G.","contributorId":258787,"corporation":false,"usgs":false,"family":"Bruce","given":"D.","email":"","middleInitial":"G.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":816501,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stence, C 0000-0001-6915-0291","orcid":"https://orcid.org/0000-0001-6915-0291","contributorId":258788,"corporation":false,"usgs":false,"family":"Stence","given":"C","affiliations":[{"id":52292,"text":"MD Dept of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":816502,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70220680,"text":"70220680 - 2022 - A socio-ecological imperative for broadening participation in coastal and estuarine research and management","interactions":[],"lastModifiedDate":"2022-01-06T17:08:52.103275","indexId":"70220680","displayToPublicDate":"2021-05-18T07:25:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"A socio-ecological imperative for broadening participation in coastal and estuarine research and management","docAbstract":"

For most of the scientific disciplines associated with coastal and estuarine research, workforce representation does not match the demographics of communities we serve, especially for Black, Hispanic or Latino, and Indigenous peoples. This essay provides an overview of this inequity and identifies how a scientific society can catalyze representational, structural, and interactional diversity to achieve greater inclusion. Needed changes go beyond representational diversity and require an intentional commitment to build capacity through inclusivity and community engagement by supporting anti-racist policies and actions. We want to realize a sense of belonging on the part of scientists in society at large and enable research pursuits through a lens of social justice in service of coastal communities. Minimally, this framework offers an avenue for increased recruitment of individuals from more diverse racial and ethnic identities. More broadly, the mechanisms described here aim to create a culture in scientific societies in which social justice, driven by anti-racist actions, produces systemic change in how members of scientific societies approach, discuss, and address issues of inequity. We have written this essay for members of the coastal and marine science community who are interested in change. We aim to call in new voices, allies, and champions to this work.

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M","contributorId":258320,"corporation":false,"usgs":false,"family":"Palinkas","given":"Cindy","email":"","middleInitial":"M","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":816412,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Park, Susan","contributorId":258321,"corporation":false,"usgs":false,"family":"Park","given":"Susan","email":"","affiliations":[{"id":52277,"text":"Coastal and Estuarine Research Federation","active":true,"usgs":false}],"preferred":false,"id":816413,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Vaudrey, Jamie","contributorId":258322,"corporation":false,"usgs":false,"family":"Vaudrey","given":"Jamie","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":816414,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Fitzgerald, Allison 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alleghaniensis)","interactions":[],"lastModifiedDate":"2022-02-25T16:16:53.447115","indexId":"70228986","displayToPublicDate":"2021-04-30T10:11:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Factors influencing the use of water-filled tree cavities by eastern ratsnakes (Pantherophis alleghaniensis)","title":"Factors influencing the use of water-filled tree cavities by eastern ratsnakes (Pantherophis alleghaniensis)","docAbstract":"

For some animals, specific microhabitats may be particularly important for certain behaviors and/or age or sex classes. Here we explore the use of previously unrecognized retreat sites (water-filled tree cavities) by Eastern Ratsnakes (Pantherophis alleghaniensis). During 4 y of radio telemetry, approximately half of the 45 ratsnakes monitored used water-filled cavities. Typically, water-filled cavities (phytotelmata) were in live Laurel Oaks (Quercus laurifolia) and Black Cherry (Prunus serotina) where limbs had broken off, internal wood had rotted, and water accumulated. Water-filled cavities were used by ratsnakes at about the same frequency as tree stumps but less frequently than snags, brushpiles, or downed logs. Snakes remained in water-filled cavities for an average of 10 d compared to only 2–4 d in other structures. Reproductive females (both pre- and post-egg laying) were four times more likely to use water-filled cavities than non-gravid or male ratsnakes, suggesting cavities are used to offset water loss associated with gestation. Ratsnakes used water-filled cavities far more in summer than spring even though thermal profiles of cavities were similar to those of other retreat structures, indicating their use was not for thermoregulation. Multiple snakes often used cavities simultaneously, suggesting that cavities are either limited or facilitate social interaction. Snakes did not use artificial water-filled cavities, suggesting that natural sites may provide snakes with some unknown benefit beyond hydration. Water-filled cavities appear to be important for ratsnakes, particularly reproductive females, and warrant further investigation.

","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"DeGregorio, B.A., Sperry, J.H., and Weatherhead, P.J., 2022, Factors influencing the use of water-filled tree cavities by eastern ratsnakes (Pantherophis alleghaniensis): Herpetological Conservation and Biology, v. 16, no. 1, p. 173-182.","productDescription":"10 p.","startPage":"173","endPage":"182","ipdsId":"IP-119935","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396492,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol16_issue1.html"}],"country":"United States","state":"South Carolina","county":"Aiken County","otherGeospatial":"Savannah River Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.59957885742188,\n 33.09384260312052\n ],\n [\n -81.441650390625,\n 33.21226543987183\n ],\n [\n -81.47048950195312,\n 33.377559143878244\n ],\n [\n -81.5789794921875,\n 33.417687357334934\n ],\n [\n -81.70669555664062,\n 33.402784755472396\n ],\n [\n -81.80419921875,\n 33.33741240611175\n ],\n [\n -81.84127807617188,\n 33.23409295522519\n ],\n [\n -81.70944213867186,\n 33.116849834921005\n ],\n [\n -81.59957885742188,\n 33.09384260312052\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sperry, J. H.","contributorId":279699,"corporation":false,"usgs":false,"family":"Sperry","given":"J.","email":"","middleInitial":"H.","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":836082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weatherhead, P. J.","contributorId":280177,"corporation":false,"usgs":false,"family":"Weatherhead","given":"P.","email":"","middleInitial":"J.","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":836083,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70226604,"text":"70226604 - 2022 - Ostracod eye size: A taxonomy-free indicator of the Paleocene-Eocene Thermal Maximum sea level","interactions":[],"lastModifiedDate":"2022-06-16T15:10:32.096245","indexId":"70226604","displayToPublicDate":"2021-04-28T07:12:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Ostracod eye size: A taxonomy-free indicator of the Paleocene-Eocene Thermal Maximum sea level","docAbstract":"

Deep-time sea-level changes associated with the Paleocene-Eocene Thermal Maximum (PETM) are of great interest to paleoceanographers and paleontologists, especially in shallow marine settings, like the Atlantic Coastal Plain PETM sections of the Eastern North American Continental Shelf. Accurate paleo-water depth reconstruction is essential to properly interpret and contextualize any PETM-associated paleoceanographic and paleoecological changes that are depth-dependent. In addition, our understanding on eustatic sea-level changes in the greenhouse world without polar ice sheets remains limited. Despite this importance of an accurate and robust paleodepth reconstruction, all water depth estimation methods applied for the shallow marine PETM sections suffer from uncertainties and intrinsic/logical flaws. It is therefore important to develop and apply an independent water depth proxy to complement and validate paleodepth estimates derived from the traditional estimation methods based on sedimentary fossil components and lithological features. Here we present the relative eye size of sighted ostracods as a taxonomy-free water depth proxy and apply it to shallow-marine PETM paleodepth reconstruction of the Mattawoman Creek-Billingsley Road (MCBR) core in Maryland, eastern USA. We identified a significant and rapid reduction in water depth of ~40 m within the carbon isotope excursion (CIE) onset consistent with the previous estimation based on benthic foraminifer species associations. This ostracod-eye-based paleodepth reconstruction improves current understanding on the regional paleobathymetry of the Salisbury Embayment and facilitates future studies on continental shelf paleoceanography and paleoecology during the PETM, a rapid, extreme global warming event under long-term greenhouse conditions, which possibly parallels the ongoing anthropogenic warming.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2021.101994","usgsCitation":"Tian, S., Yasuhara, M., Robinson, M.M., and Huang, H., 2022, Ostracod eye size: A taxonomy-free indicator of the Paleocene-Eocene Thermal Maximum sea level: Marine Micropaleontology, v. 174, 101994, 9 p., https://doi.org/10.1016/j.marmicro.2021.101994.","productDescription":"101994, 9 p.","ipdsId":"IP-125565","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":449828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marmicro.2021.101994","text":"Publisher Index Page"},{"id":392297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Mattawoman Creek-Billingsley Road","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.24212646484374,\n 38.32657512192453\n ],\n [\n -76.79443359375,\n 38.32657512192453\n ],\n [\n -76.79443359375,\n 38.76479194327964\n ],\n [\n -77.24212646484374,\n 38.76479194327964\n ],\n [\n -77.24212646484374,\n 38.32657512192453\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"174","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tian, Skye Y","contributorId":269550,"corporation":false,"usgs":false,"family":"Tian","given":"Skye Y","affiliations":[{"id":55550,"text":"University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":827438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yasuhara, Moriaki","contributorId":178705,"corporation":false,"usgs":false,"family":"Yasuhara","given":"Moriaki","email":"","affiliations":[],"preferred":false,"id":827439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":827440,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Huai-Hsuan M","contributorId":269552,"corporation":false,"usgs":false,"family":"Huang","given":"Huai-Hsuan M","affiliations":[{"id":55550,"text":"University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":827441,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70229805,"text":"70229805 - 2022 - Developing common protocols to measure tundra herbivory across spatial scales","interactions":[],"lastModifiedDate":"2022-10-31T14:18:20.876063","indexId":"70229805","displayToPublicDate":"2021-03-12T08:47:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5363,"text":"Arctic Science","active":true,"publicationSubtype":{"id":10}},"title":"Developing common protocols to measure tundra herbivory across spatial scales","docAbstract":"Understanding and predicting large-scale ecological responses to global environmental change requires comparative studies across geographic scales with coordinated efforts and standardized methodologies. We designed, applied and assessed standardized protocols to measure tundra herbivory at three spatial scales: plot, site (habitat), and study area (landscape). The plot and site-level protocols were tested in the field during summers 2014-2015 at eleven sites, nine of them comprising warming experimental plots included in the International Tundra Experiment (ITEX). The study area protocols were assessed during 2014-2018 at 24 study areas across the Arctic. Our protocols provide comparable and easy-to-implement methods for assessing the intensity of invertebrate herbivory within ITEX plots and for characterizing vertebrate herbivore communities at larger spatial scales. We discuss methodological constraints and make recommendations for how these protocols can be used and how sampling effort can be optimized to obtain comparable estimates of herbivory, both at ITEX sites and at large landscape scales. The application of these protocols across the tundra biome will allow characterizing and comparing herbivore communities across tundra sites and at ecologically relevant spatial scales, providing an important step towards a better understanding of tundra ecosystem responses to large-scale environmental change.","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/as-2020-0020","usgsCitation":"Barrio, I.C., Ehrich, D., Soininen, E.M., Ravolainen, V.T., Bueno, C.G., Gilg, O., Koltz, A., Speed, J.D., Hik, D., Morsdorf, M., Alatalo, J., Angerbjörn, A., Bêty, J., Bollache, L., Boulanger-Lapointe, N., Brown, G.S., Eischeid, I., Giroux, M., Hajek, T., Hansen, B.B., Hofhuis, S.P., Lamarre, J., Lang, J.R., Latty, C., Lecomte, N., Macek, P., Mckinnon, L., Myers-Smith, I.H., Pedersen, A.O., Prevey, J.S., Roth, J.D., Saalfeld, S.T., Schmidt, N.M., Smith, P., Sokolov, A., Sokolova, N., Stolz, C., van Bemmelen, R., Varpe, O., Woodard, P.F., and Jonsdottir, I.S., 2022, Developing common protocols to measure tundra herbivory across spatial scales: Arctic Science, v. 8, no. 3, p. 638-679, https://doi.org/10.1139/as-2020-0020.","productDescription":"42 p.","startPage":"638","endPage":"679","ipdsId":"IP-122351","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":449837,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/as-2020-0020","text":"Publisher Index Page"},{"id":397232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Greenland, Iceland, Norway, Russia, Sweden, Switzerland, United States","state":"Alaska","city":"Ammarnas, Arviat, Cambridge Bay, Churchill, Igloolik, Kugluktuk, Sabetta, Utqiaġvik, Val Bercla","otherGeospatial":"Adventdalen, Auðkúluheiði, Austfjorden, Barrow, Belyi Island, Billefjorden, Burntpoint Creek, Bylot Island, Canning River, East Bay, Endalen, Erkuta, Forlandsundet, Hochstetter, Isfjorden, Kapp Linné, Karupelv, Kluane, Latnjajaure, Polar Bear Pass, Qikiqtaruk, Svalbard, Zackenberg","volume":"8","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barrio, Isabel C. 0000-0002-8120-5248","orcid":"https://orcid.org/0000-0002-8120-5248","contributorId":288871,"corporation":false,"usgs":false,"family":"Barrio","given":"Isabel","email":"","middleInitial":"C.","affiliations":[{"id":61865,"text":"Department of Environmental and Forest Sciences, Agricultural University of Iceland","active":true,"usgs":false}],"preferred":false,"id":838363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ehrich, D.","contributorId":288872,"corporation":false,"usgs":false,"family":"Ehrich","given":"D.","affiliations":[{"id":61868,"text":"2UiT The Arctic University of Norway, Framstredet 39, NO-9037, Tromsø, Norway","active":true,"usgs":false}],"preferred":false,"id":838364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soininen, E. 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F.","contributorId":288908,"corporation":false,"usgs":false,"family":"Woodard","given":"P.","email":"","middleInitial":"F.","affiliations":[{"id":61899,"text":"Canadian Wildlife Service, Environment and Climate Change Canada, PO 2310, Yellowknife, NWT X1A 2P7, Canada","active":true,"usgs":false}],"preferred":false,"id":838402,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Jonsdottir, I. S.","contributorId":288909,"corporation":false,"usgs":false,"family":"Jonsdottir","given":"I.","email":"","middleInitial":"S.","affiliations":[{"id":61900,"text":"University of Iceland, Sturlugata 7, 101 Reykjavík, Iceland","active":true,"usgs":false}],"preferred":false,"id":838403,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}} ,{"id":70224637,"text":"70224637 - 2022 - Tungsten skarn potential of the Yukon-Tanana Upland, eastern Alaska, USA—A mineral resource assessment","interactions":[],"lastModifiedDate":"2021-10-01T13:05:23.963158","indexId":"70224637","displayToPublicDate":"2020-11-25T08:01:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Tungsten skarn potential of the Yukon-Tanana Upland, eastern Alaska, USA—A mineral resource assessment","docAbstract":"

Tungsten (W) is used in a variety of industrial and technological applications and has been identified as a critical mineral for the United States, India, the European Union, and other countries. These countries rely on W imports mostly from China, which leaves them vulnerable to supply disruption. Consequently, the U.S. government has a current initiative to understand domestic resource potential. The eastern Alaska portion of the Yukon-Tanana Upland (YTU), is prospective for W skarn deposits, the major source of global W supply. The regional geology consists of juxtaposed Paleozoic lithotectonic packages that were reaccreted to North America in the Mesozoic. Multiple subsequent episodes of arc-related magmatism intruded the lithotectonic packages, accompanied by W skarn formation mostly associated with 100–90 Ma intrusions; major W skarn deposits in Canada are part of the same metallogenic event (e.g., Mactung, Cantung). In this paper, we present an assessment for undiscovered W skarn resources for parts of the lesser-explored western (Alaskan) portion of the YTU.

We used GIS proximity analysis to map the intersection of pluton and carbonate-bearing rocks to define three permissive tracts for W skarn deposits. The permissive tracts were qualitatively assessed by mineral potential mapping using region-wide sediment geochemistry and mineral concentrate datasets. This analysis showed that much of the western YTU has high potential for undiscovered W skarn deposits, whereas the eastern and southern YTU had only isolated areas of medium to high potential. Historical production and the quality of the geochemistry data of the western YTU tract (ca. 9200 km2) permitted a quantitative assessment of undiscovered W resources. Probabilistic estimates by a panel of 20 experts predicted a 70% chance of one to three undiscovered W skarn deposits in the western YTU tract. The rationale for favorability employed by the expert panel included favorable lithology, previous production, clustering of previously mined deposits, W placers in the area, lack of recent exploration, pan concentrates containing W minerals, and W geochemical anomalies. Estimates were combined with a global grade and tonnage model for W skarns in a Monte Carlo simulation and provided a median estimate of undiscovered resources of 94 kt WO3. If the undiscovered W skarn deposits are located close to infrastructure (e.g., near Fairbanks, or close to roads and/or power grid), application of an economic filter indicates that the median total economically recoverable WO3 is 63 kt with a net present value (NPV) of $330 million USD (2008 dollars). Whereas if deposits are far from infrastructure, median recoverable WO3 is only 30 kt and the NPV is $44 million.

Our models for contained WO3 resources and NPV estimates for the western YTU tract are considerably lower than the known resources in skarns in adjacent areas in Canada. Estimates for the western YTU are also lower than preliminary estimates for undiscovered W skarn deposits in areas of the western conterminous United States. We speculate that lower permeability and continuity of favorable carbonate rock horizons in the relatively higher-grade metamorphic country rocks in the Alaska portion of the YTU may explain some of the differences in prospectivity. More detailed geologic mapping, modern geochemistry, and geophysical surveys are needed to refine the resource potential of the whole YTU. Regardless, quantitative mineral resource assessment provides a useful tool for making first-order regional estimates of undiscovered resources, identifying target areas for new data acquisition, and guiding research on the fundamental controls of district-scale metallogenic endowments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2020.106700","usgsCitation":"Case, G.N., Graham, G.E., Marsh, E.E., Taylor, R., Green, C.J., Brown, P.J., and Labay, K.A., 2022, Tungsten skarn potential of the Yukon-Tanana Upland, eastern Alaska, USA—A mineral resource assessment: Journal of Geochemical Exploration, v. 232, 106700, 21 p., https://doi.org/10.1016/j.gexplo.2020.106700.","productDescription":"106700, 21 p.","ipdsId":"IP-119358","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":449855,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2020.106700","text":"Publisher Index Page"},{"id":436068,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TDKQE4","text":"USGS data release","linkHelpText":"Qualitative Mineral Potential Map of Tungsten Skarn in the Yukon-Tanana Uplands, Eastern Alaska, USA, 2021"},{"id":390107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.3359375,\n 63.35212928507874\n ],\n [\n -141.240234375,\n 63.35212928507874\n ],\n [\n -141.240234375,\n 67.23806155909902\n ],\n [\n -154.3359375,\n 67.23806155909902\n ],\n [\n -154.3359375,\n 63.35212928507874\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"232","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Case, George N.D. 0000-0001-9826-5661 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Lake trout (Salvelinus namaycush) are an ecologically and economically important piscivore with reported differences in diet and feeding behaviour throughout its range. Eleven stomach content and stable isotope-based metrics were used to describe diets of 349 lake trout between two years (2013 and 2018) and among geographic zones (west, central, east, Kingston basin) in Lake Ontario. Using individual (e.g., volumetric, %V) and aggregate (e.g., index of relative importance, %IRI) diet metrics, we found an overwhelming dominance of alewife (Alosa pseudoharengus) in lake trout diets among some zones in 2013 (%V = 23.3 – 92.7; %IRI = 12.2 – 99.5) and all zones in 2018 (%V = 83.9 – 96.7; %IRI = 96.5 – 100). Round goby (Neogobius melanostomus) and rainbow smelt (Osmerus mordax) were secondary lake trout prey items with relative diet percentages only marginally reflected by spatial and temporal variation in prey abundance (round goby: %V = 1.0 – 33.3, %IRI = 0.1 – 13.2; rainbow smelt: %V = 2.5 – 54.0, %IRI = 0.1 – 54.0). Carbon (δ13C) and nitrogen (δ15N) isotopic niche areas and orientations were similar across all year-zone combinations reinforcing temporal and spatial consistency in lake trout diet. The findings of this study advance the time series in describing Lake Ontario lake trout diets and can be used to complement stock assessments and management decisions associated with carrying capacity for the diverse salmonid community.

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(OMNRF)","active":true,"usgs":false}],"preferred":false,"id":810310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holden, Jeremy P.","contributorId":251689,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":810311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":810312,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Timothy 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  1. Climate change poses a significant threat to Arctic freshwater biodiversity, but impacts depend upon the strength of organism response to climate‐related drivers. Currently, there is insufficient knowledge about Arctic freshwater biodiversity patterns to guide assessment, prediction, and management of biodiversity change.
  2. As part of the Circumpolar Biodiversity Monitoring Program's first freshwater assessment, we evaluated diversity of diatoms, benthic macroinvertebrates, and fish in North American Arctic rivers. Alpha diversity was assessed in relation to temperature, water chemistry, bedrock geology, and glaciation history to identify important environmental correlates. Biotic composition was compared among groups to evaluate response to environmental gradients.
  3. Macroinvertebrate α‐diversity declined strongly with increasing latitude from 48°N to 82°N, whereas diatom and fish diversity peaked around 70°N without a clear latitudinal decline. Macroinvertebrate diversity was significantly positively related to air temperature. Diatom diversity was related to bedrock geology and temperature, whereas fish diversity was related to glaciation history.
  4. Fish and macroinvertebrate assemblages differed between sites in western Canada, where invertebrate composition was more variable, and Alaska, where fish composition was more variable. In sites with both diatom and macroinvertebrate data, diatom composition was distinct in Alaska, where richness was highest in former glacial refugia. Macroinvertebrate composition was distinct in lowest‐latitude eastern and high‐latitude western Canadian sites where temperature was highest.
  5. Temperature, precipitation, geology, calcium, and substrate size were important environmental correlates for diatoms and macroinvertebrates, although the relative importance of each correlate differed. Diatom taxa were most strongly associated with water chemistry, whereas benthic invertebrate composition related most strongly to precipitation and temperature.
  6. This large‐scale study provides the most substantial integration and analysis of river diatom, macroinvertebrate, and fish data from the North American Arctic to date. Findings suggest that macroinvertebrates will show the strongest response to climate‐related shifts in temperature, whereas diatoms and fish are more likely to respond to climate‐induced shifts in nutrients and hydraulic connectivity. However, significant gaps in data coverage limited our ability to reliably evaluate spatial patterns and detect change. These gaps could be reduced by improving collaborative efforts between the U.S.A. and Canada to harmonise future monitoring.
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13600","usgsCitation":"Lento, J., Laske, S.M., Lavoie, I., Bogan, D., Brua, B., Campeau, S., Chin, K., Culp, J.M., Levenstein, B., Power, M., Saulnier-Talbot, E., Shaftel, R., Swanson, H.K., Whitman, M., and Zimmerman, C.E., 2022, Diversity of diatoms, benthic macroinvertebrates, and fish varies in response to different environmental correlates in Arctic rivers across North America: Freshwater Biology, v. 67, no. 1, p. 95-115, https://doi.org/10.1111/fwb.13600.","productDescription":"21 p.","startPage":"95","endPage":"115","ipdsId":"IP-111444","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":449875,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/fwb.13600","text":"External Repository"},{"id":384537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United 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K.","contributorId":203350,"corporation":false,"usgs":false,"family":"Swanson","given":"Heidi","email":"","middleInitial":"K.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":812590,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Whitman, Matthew","contributorId":19257,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","affiliations":[],"preferred":false,"id":812591,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":812592,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70250895,"text":"70250895 - 2021 - Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region","interactions":[],"lastModifiedDate":"2024-01-11T14:37:26.712196","indexId":"70250895","displayToPublicDate":"2024-01-11T08:27:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region","docAbstract":"

The Sulphide Queen carbonatite deposit at Mountain Pass in southeast California is a world class rare earth element (REE) resource. This study images electrical resistivity structure of the REE deposit and surrounding area to characterize resources under cover. An east-west elongated grid (35 × 15 km) of 65 wideband magnetotelluric stations spanning from eastern Shadow Valley to eastern Ivanpah Valley were collected and modeled in three-dimensions (3-D). Gravity, aeromagnetic, and geologic data are used to inform interpretation of structures in the resistivity model, including the following observations. Shadow Valley is filled with conductive sediment that locally dips southward to a depth of 1 km. The Kingston Range-Halloran Hills detachment fault dips westward at ∼15 degrees. The REE deposit is a moderate low resistivity zone dipping southwest to a possible depth of ∼1 km, and is bounded by the North and South faults and bisected by the Middle fault. Ivanpah Dry Lake is underlain by a north striking southward dipping sedimentary basin. Two possible zones of mineralization are observed in Ivanpah Valley, one along the western edge of Ivanpah Dry Lake and one on the western edge of valley along a new inferred fault. The brittle-ductile transition is imaged at ∼10 km below mean sea level. No deep electrically conductive structures are imaged to be related to the REE deposit likely due to the complex geologic history of the Mojave terrane. Future studies should regional target Proterozoic rocks and search within for geophysical signatures similar to Mountain Pass.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GC010029","usgsCitation":"Peacock, J., Denton, K., and Ponce, D.A., 2021, Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region: Geochemistry, Geophysics, Geosystems, v. 22, no. 11, e2021GC010029, 16 p., https://doi.org/10.1029/2021GC010029.","productDescription":"e2021GC010029, 16 p.","ipdsId":"IP-132719","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gc010029","text":"Publisher Index Page"},{"id":424329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mountain Pass","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115,\n 36\n ],\n [\n -116,\n 36\n ],\n [\n -116,\n 35\n ],\n [\n -115,\n 35\n ],\n [\n -115,\n 36\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"22","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denton, Kevin 0000-0001-9604-4021","orcid":"https://orcid.org/0000-0001-9604-4021","contributorId":207718,"corporation":false,"usgs":true,"family":"Denton","given":"Kevin","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":891969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256778,"text":"70256778 - 2021 - Fine-scale weather patterns drive reproductive success in the Brown Pelican","interactions":[],"lastModifiedDate":"2024-09-06T16:03:47.59938","indexId":"70256778","displayToPublicDate":"2022-12-23T10:54:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Fine-scale weather patterns drive reproductive success in the Brown Pelican","docAbstract":"

In the northern Gulf of Mexico, island restoration and creation have been used to mitigate potential negative effects of anthropogenic and environmental stressors to breeding seabirds. The long-term success of such projects can be enhanced when data are available to elucidate how site-specific and larger-scale factors may contribute to reproductive success. Nest-specific daily survival rate (DSR) of Eastern Brown Pelicans (Pelecanus occidentalis carolinensis) during incubation (i.e., pre-hatch; n = 245) and brood-rearing (i.e., post-hatch; n = 185) were measured at two breeding islands in the northern Gulf of Mexico USA in 2017 and 2018 in relation to macro- and micro- scale habitat and environmental measurements. DSR of nests during incubation ranged from 91-99%, and the DSR during brood-rearing exceeded 99% each year. Regional weather variables occurred in top-performing models more often and with more significance compared to microhabitat variables. Results suggest that reproductive success of Brown Pelicans may respond at least in part to weather factors that occur outside of the scope of habitat structure as it is typically incorporated into the restoration or creation of breeding habitat, indicating that climate conditions are likely an important factor in the success of restoration efforts.

","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.044.0202","usgsCitation":"Streker, R., Lamb, J., Dindo, J., and Jodice, P.G., 2021, Fine-scale weather patterns drive reproductive success in the Brown Pelican: Waterbirds, v. 44, no. 2, p. 153-166, https://doi.org/10.1675/063.044.0202.","productDescription":"14 p.","startPage":"153","endPage":"166","ipdsId":"IP-112416","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":449897,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.044.0202","text":"Publisher Index Page"},{"id":433565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Cat Island, Gaillard Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.21140334799445,\n 30.323486762297065\n ],\n [\n -88.21140334799445,\n 30.318872526999428\n ],\n [\n -88.20869591533123,\n 30.318872526999428\n ],\n [\n -88.20869591533123,\n 30.323486762297065\n ],\n [\n -88.21140334799445,\n 30.323486762297065\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.02240138633157,\n 30.52620636279063\n ],\n [\n -88.0537680271092,\n 30.52620636279063\n ],\n [\n -88.0537680271092,\n 30.488155985064907\n ],\n [\n -88.02240138633157,\n 30.488155985064907\n ],\n [\n -88.02240138633157,\n 30.52620636279063\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Streker, R.A.","contributorId":279819,"corporation":false,"usgs":false,"family":"Streker","given":"R.A.","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamb, J.S.","contributorId":279814,"corporation":false,"usgs":false,"family":"Lamb","given":"J.S.","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dindo, J.","contributorId":341823,"corporation":false,"usgs":false,"family":"Dindo","given":"J.","email":"","affiliations":[{"id":48711,"text":"Dauphin Island Sea Lab","active":true,"usgs":false}],"preferred":false,"id":908931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908932,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228336,"text":"70228336 - 2021 - Genetic and morphological characterization of the freshwater mussel clubshell species complex (Pleurobema clava and Pleurobema oviforme) to inform conservation planning","interactions":[],"lastModifiedDate":"2022-02-09T16:41:08.092853","indexId":"70228336","displayToPublicDate":"2022-10-20T10:25:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7470,"text":"Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic and morphological characterization of the freshwater mussel clubshell species complex (Pleurobema clava and Pleurobema oviforme) to inform conservation planning","title":"Genetic and morphological characterization of the freshwater mussel clubshell species complex (Pleurobema clava and Pleurobema oviforme) to inform conservation planning","docAbstract":"

The shell morphologies of the freshwater mussel species Pleurobema clava (federally endangered) and Pleurobema oviforme (species of concern) are similar, causing considerable taxonomic confusion between the two species over the last 100 years. While P. clava was historically widespread throughout the Ohio River basin and tributaries to the lower Laurentian Great Lakes, P. oviforme was confined to the Tennessee and the upper Cumberland River basins. We used two mitochondrial DNA (mtDNA) genes, 13 novel nuclear DNA microsatellite markers, and shell morphometrics to help resolve this taxonomic confusion. Evidence for a single species was apparent in phylogenetic analyses of each mtDNA gene, revealing monophyletic relationships with minimal differentiation and shared haplotypes. Analyses of microsatellites showed significant genetic structuring, with four main genetic clusters detected, respectively, in the upper Ohio River basin, the lower Ohio River and Great Lakes, and upper Tennessee River basin, and a fourth genetic cluster, which included geographically intermediate populations in the Ohio and Tennessee river basins. While principal components analysis (PCA) of morphometric variables (i.e., length, height, width, and weight) showed significant differences in shell shape, only 3% of the variance in shell shape was explained by nominal species. Using Linear Discriminant and Random Forest (RF) analyses, correct classification rates for the two species' shell forms were 65.5% and 83.2%, respectively. Random Forest classification rates for some populations were higher; for example, for North Fork Holston (HOLS), it was >90%. While nuclear DNA and shell morphology indicate that the HOLS population is strongly differentiated, perhaps indicative of cryptic biodiversity, we consider the presence of a single widespread species the most likely biological scenario for many of the investigated populations based on our mtDNA dataset. However, additional sampling of P. oviforme populations at nuclear loci is needed to corroborate this finding.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8219","usgsCitation":"Morrison, C., Johnson, N., Jones, J.W., Eackles, M.S., Aunins, A.W., Fitzgerald, D.B., Hallerman, E.M., and King, T.L., 2021, Genetic and morphological characterization of the freshwater mussel clubshell species complex (Pleurobema clava and Pleurobema oviforme) to inform conservation planning: Ecology & Evolution, v. 11, no. 21, p. 15325-15350, https://doi.org/10.1002/ece3.8219.","productDescription":"26 p.","startPage":"15325","endPage":"15350","ipdsId":"IP-124957","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":449898,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.8219","text":"External Repository"},{"id":436072,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P928BVHR","text":"USGS data release","linkHelpText":"Novel genetic resources for Clubshell freshwater mussels (Pleurobema clava, P. oviforme) for enhanced conservation"},{"id":395678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana, Kentucky, Ohio, Pennsylvania, Tennessee, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.5166015625,\n 34.994003757575776\n ],\n [\n -80.2880859375,\n 34.994003757575776\n ],\n [\n -80.2880859375,\n 42.032974332441405\n ],\n [\n -89.5166015625,\n 42.032974332441405\n ],\n [\n -89.5166015625,\n 34.994003757575776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"21","noUsgsAuthors":false,"publicationDate":"2021-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Morrison, Cheryl L. 0000-0001-9425-691X","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":239844,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":833819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nathan A. 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":218986,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Jess W","contributorId":238525,"corporation":false,"usgs":false,"family":"Jones","given":"Jess","email":"","middleInitial":"W","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":833821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eackles, Michael S. 0000-0001-5624-5769 meackles@usgs.gov","orcid":"https://orcid.org/0000-0001-5624-5769","contributorId":218936,"corporation":false,"usgs":true,"family":"Eackles","given":"Michael","email":"meackles@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":833822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aunins, Aaron 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":833823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fitzgerald, Daniel Bruce 0000-0002-3254-7428","orcid":"https://orcid.org/0000-0002-3254-7428","contributorId":245718,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Daniel","email":"","middleInitial":"Bruce","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":833824,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hallerman, Eric M.","contributorId":202528,"corporation":false,"usgs":false,"family":"Hallerman","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":833825,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"King, Timothy L.","contributorId":199023,"corporation":false,"usgs":false,"family":"King","given":"Timothy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":833826,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70227259,"text":"70227259 - 2021 - Bat activity patterns relative to temporal and weather effects in a temperate coastal environment","interactions":[],"lastModifiedDate":"2022-01-05T13:08:30.80089","indexId":"70227259","displayToPublicDate":"2022-08-25T07:04:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Bat activity patterns relative to temporal and weather effects in a temperate coastal environment","docAbstract":"

The northeastern and mid-Atlantic coasts of the United States are important summer maternity habitat and seasonal migratory corridors for many species of bats. Additionally, the effects of weather on bat activity are relatively unknown beyond coarse nightly scales. Using acoustic detectors, we assessed nightly and hourly activity patterns for eight species of bats over 21 consecutive months at Fire Island National Seashore, New York. The site is an important bat conservation area because it hosts one of the few confirmed northern long-eared bat (Myotis septentrionalis) maternity colonies in the region despite their widespread extirpation due to white-nose syndrome (WNS). There have been no reported captures of little brown bats (M. lucifugus), Indiana bats (M. sodalis), or tri-colored bats (Perimyotis subflavus) at the site post-WNS. Overall, we found mean hourly temperature, time since sunset, day of year, and year to be the most important predictors of bat activity levels for all examined species. Most non-hibernating, migratory species in our study demonstrated a positive relationship to mean temperature at the hourly timescale, whereas cave-hibernating bats tended to show a negative relationship to mean temperature during the time of year when they are expected to be active. Although most bat activity occurred in the late spring through early autumn, peaking in summer, some activity occurred periodically in the winter months, mostly attributable to the big brown bat (Eptesicus fuscus) and silver-haired bat (Lasionycteris noctivigans) phonic group. Unexpectedly, relationships of bat activity to wind and precipitation were largely equivocal. Initial presence (as early as March 30) and departure (between November 1–4) for northern long-eared bats at our study area occurred earlier in the spring and later in the fall than occurs for inland populations, suggesting that the species overwinters on Long Island rather than at inland karst caves or mines. A peak in spring activity characteristic of migratory behavior in the central Appalachians and Atlantic Coast was not observed at Fire Island, although Eastern red bats (Lasiurus borealis) and hoary bats (L. cinereus) – both migratory species – did show a notable rise in activity in the late summer and early fall, suggesting these populations may migrate to and from Fire Island. Understanding the temporal and weather relationships to bat activity in this coastal environment may have important implications for tailoring more effective conservation and management strategies by identifying optimal timing for surveys, tracking bats during peak migratory windows, and providing insights that minimizes impacts to extant bats from activities such as wind-energy development or land management, i.e., forestry.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2021.e01769","usgsCitation":"Gorman, K.M., Barr, E.L., Ries, L., Nocera, T., and Ford, W., 2021, Bat activity patterns relative to temporal and weather effects in a temperate coastal environment: Global Ecology and Conservation, v. 30, e01769, 13 p., https://doi.org/10.1016/j.gecco.2021.e01769.","productDescription":"e01769, 13 p.","ipdsId":"IP-120444","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":449899,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2021.e01769","text":"Publisher Index Page"},{"id":393905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Long Island, William Floyd Estate","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.289794921875,\n 40.58475654701271\n ],\n [\n -72.6470947265625,\n 40.58475654701271\n ],\n [\n -72.6470947265625,\n 40.83874913796459\n ],\n [\n -73.289794921875,\n 40.83874913796459\n ],\n [\n -73.289794921875,\n 40.58475654701271\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gorman, Katherine M.","contributorId":270924,"corporation":false,"usgs":false,"family":"Gorman","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":830156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barr, Elaine L.","contributorId":270623,"corporation":false,"usgs":false,"family":"Barr","given":"Elaine","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":830157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ries, Lindsay","contributorId":218632,"corporation":false,"usgs":false,"family":"Ries","given":"Lindsay","email":"","affiliations":[{"id":39877,"text":"National Park Service, Fire Island National Seashore","active":true,"usgs":false}],"preferred":false,"id":830158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nocera, Tomas","contributorId":270948,"corporation":false,"usgs":false,"family":"Nocera","given":"Tomas","email":"","affiliations":[],"preferred":false,"id":830191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":830155,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227192,"text":"70227192 - 2021 - The relevance of a type locality: The case of Mephitis interrupta Rafinesque, 1820 (Carnivora: Mephitidae)","interactions":[],"lastModifiedDate":"2022-01-04T15:24:37.37782","indexId":"70227192","displayToPublicDate":"2022-01-04T09:07:25","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The relevance of a type locality: The case of Mephitis interrupta Rafinesque, 1820 (Carnivora: Mephitidae)","title":"The relevance of a type locality: The case of Mephitis interrupta Rafinesque, 1820 (Carnivora: Mephitidae)","docAbstract":"

For more than 130 years, the type locality of the Plains Spotted Skunk, Spilogale putorius interrupta (Rafinesque, 1820) has been accepted to be along the upper Missouri River. The species’ description was based on a specimen observed by Constantine S. Rafinesque during his 1818 exploration of the Ohio River Valley, but Rafinesque never ventured into the animal’s geographic range west of the Mississippi River, calling into question the type locality and, therefore, the identity of the taxon. We reconstruct Rafinesque’s itinerary from his notes, publications, and correspondence and determine that Rafinesque probably observed the specimen on 20 September in Middletown, Kentucky, while traveling between Louisville and Lexington. He spent the day with John Bradbury, who participated in the 1811 Astor expedition up the Missouri River. On 1 April 1811, Bradbury collected the skin of a skunk, and evidence suggests that it was this skin that Rafinesque described. The type specimen of the Plains Spotted Skunk was obtained on the Missouri River flood plain in southern Chariton County or northern Saline County, Missouri, and this area should be considered the type locality for M. interrupta.

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Generalized skew coefficients are among the data needed for log-Pearson type III peak-streamflow frequency analyses of annual peak streamflows. A technique is presented to estimate generalized skew coefficients used for log-Pearson type III peak-streamflow frequency analyses of annual peak streamflow from natural watersheds (minimal regulation and minimal impervious cover). The estimation of generalized skew coefficients was based on annual and historical peak streamflow data from an initial set of 444 selected USGS streamgaging stations (streamgages) with at least 30 years of recorded annual peak streamflows from natural watersheds in Texas, Oklahoma, and the part of New Mexico east of the Great Continental Divide. The primary focus was to obtain information that could be used to update previously published generalized skew coefficients in Texas.\n\nOf the 444 candidate streamgages, 341 were used in the final construction of statistical models. Two generalized additive models (GAMs) were used to predict generalized skew based on a 2-dimensional smooth on projected Albers equal area coordinates of either (1) the locations of the centroids of the gaged watersheds or (2) the streamgage locations. To create maps of generalized skew coefficients, predictions were made on a 1-kilometer grid and contour lines were superimposed. The centroid-location map, with a mean-squared error (MSE) of 0.216, is preferred. Generalized skew coefficients from the centroid-location map, along with the MSE, are useful for computing weighted-skew values when conducting frequency analyses of annual peak streamflow following the guidelines set forth in Bulletin 17C. Based on the results of the study, text revision of the TxDOT Hydraulic Design Manual could be made.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Generalized skew update and regional study of distribution shape for Texas flood frequency analyses","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Texas Tech University Center for Multidisciplinary Research in Transportation","doi":"10.18738/T8/SVLCOQ","collaboration":"Texas Department of Transportation","usgsCitation":"Asquith, W.H., Yesildirek, M.V., Landers, R.N., Cleveland, T.G., Fang, Z.N., and Zhang, J., 2021, Technique to estimate generalized skew coefficients of annual peak streamflow for natural watershed conditions in Texas, Oklahoma, and eastern New Mexico, chap. 4 of Generalized skew update and regional study of distribution shape for Texas flood frequency analyses, p. 31-58, https://doi.org/10.18738/T8/SVLCOQ.","productDescription":"28 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0000-0003-1199-4680","orcid":"https://orcid.org/0000-0003-1199-4680","contributorId":272208,"corporation":false,"usgs":false,"family":"Landers","given":"Raven","email":"","middleInitial":"N.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":831735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Theodore G 0000-0002-2232-2110","orcid":"https://orcid.org/0000-0002-2232-2110","contributorId":272209,"corporation":false,"usgs":false,"family":"Cleveland","given":"Theodore","email":"","middleInitial":"G","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":831736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fang, Zheng N. 0000-0001-9871-8405","orcid":"https://orcid.org/0000-0001-9871-8405","contributorId":272210,"corporation":false,"usgs":false,"family":"Fang","given":"Zheng","email":"","middleInitial":"N.","affiliations":[{"id":12734,"text":"University of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":831737,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Jiaqi","contributorId":202467,"corporation":false,"usgs":false,"family":"Zhang","given":"Jiaqi","email":"","affiliations":[{"id":36453,"text":"University of Texas, Arlington, TX, USA","active":true,"usgs":false}],"preferred":false,"id":831738,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70240311,"text":"70240311 - 2021 - Bottom trawl assessment of Lake Ontario's benthic preyfish community, 2021","interactions":[],"lastModifiedDate":"2023-05-09T14:50:32.126039","indexId":"70240311","displayToPublicDate":"2021-12-31T11:04:21","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"title":"Bottom trawl assessment of Lake Ontario's benthic preyfish community, 2021","docAbstract":"

Since 1978, the Lake Ontario preyfish community survey has provided information on the status and trends of the benthic preyfish community related to Fish Community Objectives that includes understanding preyfish population dynamics and community diversity. Beginning in 2015, the benthic preyfish survey expanded from US-only to incorporate lake-wide sampling sites which increased the survey’s spatial coverage, and resumed sampling in eastern embayments (Black River, Chaumont, Guffin, and Henderson Bays) that were historically sampled during a September bottom trawl survey to index yellow perch from 1978 to 2007. In 2021, the collaborative benthic preyfish survey completed 195 bottom trawl tows across main lake and embayments at depths from 5 to 226 m. New embayment sites at Bay of Quinte, Sodus, and Little Sodus Bay were added to the survey in 2021 to compare fish communities across nearshore sites. In total, the 2021 survey sampled 109,178 fish from 35 species. Round goby (Neogobius melanostomus) was the most numerically abundant species comprising 44% of the total catch, followed by deepwater sculpin (Myoxocephalus thompsonii), and alewife (Alosa pseudoharengus) at 17% and 11%, respectively. Deepwater sculpin accounted for most (406 kg) of the fish biomass sampled during the 2021 survey (total=1,995 kg), followed by round goby (257 kg), and common carp (252 kg). Slimy sculpin (Cottus cognatus) biomass was higher in 2021 than in 2020, when spatial coverage was reduced. Deepwater sculpin biomass remained high in 2021 and similar to observations since 2019. White perch biomass (Morone americana) in Black River Bay has increased compared to observations from historical surveys. Yellow perch (Perca flavescens) accounted for most of the benthic preyfish biomass across the embayments surveyed in 2021 except for the Bay of Quinte and Black River Bay, where white perch accounted for a greater proportion of the fish community biomass.

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0000-0003-2504-3712","orcid":"https://orcid.org/0000-0003-2504-3712","contributorId":302058,"corporation":false,"usgs":false,"family":"Goretzke","given":"Jessica","email":"","middleInitial":"A","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":863373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holden, Jeremy P.","contributorId":190415,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":863374,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240352,"text":"70240352 - 2021 - A desert tortoise-common raven viable conflict threshold","interactions":[],"lastModifiedDate":"2023-02-06T16:05:37.397759","indexId":"70240352","displayToPublicDate":"2021-12-31T10:03:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13291,"text":"Human–Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"A desert tortoise-common raven viable conflict threshold","docAbstract":"

Since 1966, common raven (Corvus corax; raven) abundance has increased throughout much of this species’ Holarctic distribution, fueled by an ever-expanding supply of anthropogenic resource subsidies (e.g., water, food, shelter, and nesting substrate) to ecoregion specific raven population carrying capacities. Consequently, ravens are implicated in declines of both avian and reptilian species of conservation concern, including the California (USA) endangered and federally threatened Mojave desert tortoise (Gopherus agassizii; desert tortoise). While ravens are a natural predator of desert tortoises, the inter-generational stability of desert tortoise populations is expected to be compromised as annual juvenile survival is suppressed below 0.77 through a combination of raven depredation and other sources of mortality. To estimate the extent to which raven depredation suppresses desert tortoise recruitment within the Mojave Desert of California, we collected data from 274 variable-radius point counts, 78 desert tortoise decoy stations, and 8 control stations during the spring of 2020. Additionally, we complied a geodatabase of previously active raven nests, observed between 2013 and 2020. Raven density estimates from 4 monitoring areas ranged between 0.63 (eastern most) and 2.44 (western most) raven km-2 (95% CI: 0.35–1.14 and 1.33–4.48, respectively). We used a Bayesian shared frailty model to estimate the effects of raven density and distance to the nearest previously active raven nest on the annual “survival” of juvenile desert tortoise decoys (75-mm Midline Carapace Length), which we then converted into survival estimates for 0- to 10-year-old desert tortoises by adjusting exposure to reflect natural activity patterns. At the 1.72-km median distance from the nearest previously active raven nest, the estimated annual survival of desert tortoises decreased as raven density increased, ranging among conservation areas from 0.774 (eastern most) to 0.733 (western most). Accordingly, our model predicts that desert tortoise populations exposed to raven densities in excess of 0.89 raven km-2, at a distance

","language":"English","publisher":"Berryman Institute","doi":"10.26077/eeca-1eec","usgsCitation":"Holcomb, K.L., Coates, P.S., Prochazka, B.G., Shields, T., and Boarman, W., 2021, A desert tortoise-common raven viable conflict threshold: Human–Wildlife Interactions, v. 15, no. 3, p. 405-421, https://doi.org/10.26077/eeca-1eec.","productDescription":"17 p.","startPage":"405","endPage":"421","ipdsId":"IP-130973","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":412742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Basin & Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.97303916756042,\n 35.71726205140463\n ],\n [\n -117.97303916756042,\n 34.34636579137755\n ],\n [\n -114.99857556861961,\n 34.34636579137755\n ],\n [\n -114.99857556861961,\n 35.71726205140463\n ],\n [\n -117.97303916756042,\n 35.71726205140463\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Holcomb, Kerry L.","contributorId":296962,"corporation":false,"usgs":false,"family":"Holcomb","given":"Kerry","email":"","middleInitial":"L.","affiliations":[{"id":64256,"text":"U.S. Fish and Wildlife Service, Carlsbad Fish and Wildlife Office, 777 East Tahquitz Canyon Way, Suite 208, Palm Springs, California, 92262, USA","active":true,"usgs":false}],"preferred":false,"id":863528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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 Center","active":true,"usgs":true}],"preferred":true,"id":863529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shields, Timothy","contributorId":296963,"corporation":false,"usgs":false,"family":"Shields","given":"Timothy","affiliations":[{"id":64257,"text":"Hardshell Labs, Inc., P.O. Box 362, Haines, Alaska, 99827, USA","active":true,"usgs":false}],"preferred":false,"id":863531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boarman, William I.","contributorId":302114,"corporation":false,"usgs":false,"family":"Boarman","given":"William I.","affiliations":[{"id":65416,"text":"Hardshell Labs","active":true,"usgs":false}],"preferred":false,"id":863532,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70231183,"text":"70231183 - 2021 - Stop 3 – The Petersburg “Granite” redefined: Recognition and implications of Silurian to Devonian rocks in central-eastern Virginia","interactions":[],"lastModifiedDate":"2022-05-03T14:37:56.400105","indexId":"70231183","displayToPublicDate":"2021-12-31T09:22:07","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Stop 3 – The Petersburg “Granite” redefined: Recognition and implications of Silurian to Devonian rocks in central-eastern Virginia","docAbstract":"

Introduction Although the Petersburg Granite had long been in practical use as a building stone since the 1830s (Watson, 1906; 1907; 1910; Darton, 1911; Steidtmann, 1945), it was first formally defined as a geologic unit by Anna Jonas on the 1928 geologic map of Virginia. Anna Jonas defined this unit as a Precambrian coarse-grained porphyritic biotite granite that was intruded by finer grained granite and cut by pegmatite (Nelson, 1928). This belt of mostly granitic rocks extends from near Ashland, Virginia north of Richmond, to near Stony Creek, south of Petersburg, Virginia (e.g., Virginia Division of Mineral Resources, 1993) and is bounded by the Hylas fault zone to the northwest, the Mesozoic Richmond basin to the west, and the newly recognized Nottoway River fault zone to the southwest (e.g., Carter and others, 2020; 2021). The eastern boundary of this belt is covered by Coastal Plain sediments, but geophysical and deep borehole data suggest an orogen-scale suture separates it from the Neoproterozoic Chesapeake block to the east (Figure 1; Carter and others, 2021). 

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From the Eastern Piedmont to the Coastal Plain: a cross section through the Richmond Area Fall Zone: Guidebook for 2021 Virginia Geologic Field Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"William and Mary","usgsCitation":"Carter, M.W., McAleer, R.J., Occhi, M., Holm-Denoma, C., Vazquez, J.A., and Owens, B.E., 2021, Stop 3 – The Petersburg “Granite” redefined: Recognition and implications of Silurian to Devonian rocks in central-eastern Virginia, in From the Eastern Piedmont to the Coastal Plain: a cross section through the Richmond Area Fall Zone: Guidebook for 2021 Virginia Geologic Field Conference, p. 18-25.","productDescription":"8 p.","startPage":"18","endPage":"25","ipdsId":"IP-137667","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":400054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":399998,"type":{"id":15,"text":"Index Page"},"url":"https://vgfc.blogs.wm.edu/past-conferences/"}],"country":"United States","state":"Virginia","otherGeospatial":"Petersburg granite","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78,\n 36.75\n ],\n [\n -77.25,\n 36.75\n ],\n [\n -77.25,\n 38\n ],\n [\n -78,\n 38\n ],\n [\n -78,\n 36.75\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":841878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":841879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Occhi, Marcie","contributorId":191116,"corporation":false,"usgs":false,"family":"Occhi","given":"Marcie","affiliations":[],"preferred":false,"id":841880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":841881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":841882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Owens, Brent E.","contributorId":178190,"corporation":false,"usgs":false,"family":"Owens","given":"Brent","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":841883,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227374,"text":"70227374 - 2021 - Geologic map of the Middendorf quadrangle, Chesterfield County, South Carolina","interactions":[],"lastModifiedDate":"2023-03-13T14:40:41.012899","indexId":"70227374","displayToPublicDate":"2021-12-31T07:21:51","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":13452,"text":"South Carolina Geological Survey Geologic Quadrangle Map","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"GQM-56","title":"Geologic map of the Middendorf quadrangle, Chesterfield County, South Carolina","docAbstract":"

The Middendorf 7.5-minute quadrangle is located entirely within the Carolina Sandhills region of the upper Atlantic Coastal Plain province in Chesterfield County, South Carolina. The Carolina Sandhills, which has been recognized as a separate region for a long time (e.g., McGee, 1890, 1891; Holmes, 1893), extends from central North Carolina across South Carolina to the western border of Georgia along the updip (inland) margin of the Atlantic Coastal Plain province. In Chesterfield County, the Carolina Sandhills form a relatively high plateau that is bounded to the west by Paleozoic metamorphic rocks of the Piedmont province. This plateau is bounded to the east by the east-facing Orangeburg Scarp, which is interpreted as a shoreline formed by wave erosion during a middle Pliocene time of high sea level (Dowsett and Cronin, 1990).

Digital Elevation Models (DEMs) of the Middendorf quadrangle derived from lidar point cloud data reveal a landscape incised by creeks and streams. The highest elevation in the Middendorf quadrangle is 596 ft (182 m) on top of a sandhill in the northwest quadrant of the quadrangle, whereas the lowest elevation is 230 ft (70 m) in the floodplain of Big Black Creek on the southern margin of the quadrangle. Most of the landscape is covered by a mantle of unconsolidated sand that is mapped as the Quaternary Pinehurst Formation. At many locations, the unconsolidated sand is <2 m thick and forms a sand sheet of low relief. In areas of higher elevation, however, the unconsolidated sand can be up to 10 m thick and forms subdued hills (degraded dunes) of up to 6 m relief with steeper sides on the east and southeast. Many of these subdued hills (degraded dunes) are present in the area of closed depressions in the southwest corner of the map. Outcrops within the quadrangle are not common, and are limited mostly to a few exposures of sandstone and clay of the Cretaceous Middendorf Formation in a few road cuts, railroad cuts, and borrow pits as well as some slopes and roadside ditches.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"South Carolina Geological Survey Geologic Quadrangle Map (GQM)","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"South Carolina Geological Survey","usgsCitation":"Swezey, C.S., Fitzwater, B.A., and Whittecar, G.R., 2021, Geologic map of the Middendorf quadrangle, Chesterfield County, South Carolina: South Carolina Geological Survey Geologic Quadrangle Map GQM-56, 2 Plates: 30.00 x 32.50 inches or smaller.","productDescription":"2 Plates: 30.00 x 32.50 inches or smaller","ipdsId":"IP-082619","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":394243,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394224,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dnr.sc.gov/geology/publications.html"}],"country":"United States","state":"South Carolina","county":"Chesterfield County","otherGeospatial":"Middendorf quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.25,\n 34.5\n ],\n [\n -80.125,\n 34.5\n ],\n [\n -80.125,\n 34.625\n ],\n [\n -80.25,\n 34.625\n ],\n [\n -80.25,\n 34.5\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Swezey, Christopher S. 0000-0003-4019-9264 cswezey@usgs.gov","orcid":"https://orcid.org/0000-0003-4019-9264","contributorId":173033,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher","email":"cswezey@usgs.gov","middleInitial":"S.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":830646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzwater, Bradley A.","contributorId":177211,"corporation":false,"usgs":false,"family":"Fitzwater","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":830647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittecar, G. Richard","contributorId":177212,"corporation":false,"usgs":false,"family":"Whittecar","given":"G.","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":830648,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229403,"text":"70229403 - 2021 - Revising the marine range of the endangered black-capped petrel Pterodroma hasitata: occurrence in the northern Gulf of Mexico and exposure to conservation threats","interactions":[],"lastModifiedDate":"2022-03-07T12:58:13.997591","indexId":"70229403","displayToPublicDate":"2021-12-31T06:56:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Revising the marine range of the endangered black-capped petrel Pterodroma hasitata: occurrence in the northern Gulf of Mexico and exposure to conservation threats","docAbstract":"

The black-capped petrel Pterodroma hasitata is an Endangered seabird endemic to the western North Atlantic. Although estimated at ~1000 breeding pairs, only ~100 nests have been located at 2 sites in Haiti and 3 sites in the Dominican Republic. At sea, the species primarily occupies waters of the western Gulf Stream in the Atlantic and the Caribbean Sea. Due to limited data, there is currently no consensus on the geographic marine range of the species although no current proposed ranges include the Gulf of Mexico. Here, we report on observations of black-capped petrels during 2 vessel-based survey efforts throughout the northern Gulf of Mexico from 2010-2011 and 2017-2019. During 558 d and ~54700 km of surveys, we tallied 40 black-capped petrels. Most observations occurred in the eastern Gulf, although birds were observed over much of the east-west and north-south footprint of the survey area. Predictive models indicated that habitat suitability for black-capped petrels was highest in areas associated with dynamic waters of the Loop Current. We used the extent of occurrence and area of occupancy concepts to delimit the geographic range of the species within the northern Gulf. We suggest that the marine range for black-capped petrels be modified to include the northern Gulf of Mexico, recognizing that distribution may be more clumped in the eastern Gulf and that occurrence in the southern Gulf remains unknown due to a lack of surveys there. To date, however, it remains unclear which nesting areas are linked to the Gulf of Mexico.

","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.1101/2021.01.19.427288","usgsCitation":"Jodice, P.G., Michael, P., Gleason, J., Haney, J., and Satge, Y., 2021, Revising the marine range of the endangered black-capped petrel Pterodroma hasitata: occurrence in the northern Gulf of Mexico and exposure to conservation threats: Endangered Species Research, v. 46, p. 49-65, https://doi.org/10.1101/2021.01.19.427288.","productDescription":"17 p.","startPage":"49","endPage":"65","ipdsId":"IP-124873","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":449960,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1101/2021.01.19.427288","text":"Publisher Index Page"},{"id":396779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northern Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.96484375,\n 25.799891182088334\n ],\n [\n -80.771484375,\n 25.799891182088334\n ],\n [\n -80.771484375,\n 31.42866311735861\n ],\n [\n -98.96484375,\n 31.42866311735861\n ],\n [\n -98.96484375,\n 25.799891182088334\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":837280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael, P.E.","contributorId":288015,"corporation":false,"usgs":false,"family":"Michael","given":"P.E.","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":837281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gleason, J.S.","contributorId":288017,"corporation":false,"usgs":false,"family":"Gleason","given":"J.S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":837282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, J.C.","contributorId":288019,"corporation":false,"usgs":false,"family":"Haney","given":"J.C.","email":"","affiliations":[{"id":61685,"text":"Terra Mar Applied Sciences","active":true,"usgs":false}],"preferred":false,"id":837283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Satge, Y.G.","contributorId":279816,"corporation":false,"usgs":false,"family":"Satge","given":"Y.G.","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":837284,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}