De facto reuse is increasingly being studied among the variety of stressors that are relevant to drinking water systems that obtain their source water from surface waters. De facto reuse may influence the levels and types of precursors relevant to formation of disinfection by-products (DBPs) in surface water systems. DBPs such as trihalomethanes (THMs) and haloacetic acids (HAAs) have been associated with bladder cancer and other health concerns in people who use drinking water provided by public water systems (PWSs). In this study, we used compliance monitoring data from conventional surface water PWSs in the Shenandoah River watershed to evaluate the relationship between de facto reuse in the watershed with DBP formation in those systems. The Shenandoah River watershed was selected for this study because it has a relatively small group of PWSs that draw their source water from surface waters in the watershed, the majority of whom treat their water using chlorine, and are less likely to have confounding factors (such as complex distribution systems or lengthy residence times) than other watersheds. We found that concentrations of THM4 and HAA5 increase in drinking water systems as de facto reuse increases in their source waters and that the relation is observed at both annual average and low streamflow conditions (annual average and low streamflow increases were statistically significant for THM4 with p values of 0.027 and 0,021, respectively). In addition, using a t-test, we found that a 1% level of de facto reuse was associated with significantly higher levels of THM4 and HAA5 (p < 0.05) under annual average streamflow conditions. While the concentrations of HAA5 were also higher under annual average and low streamflow conditions, we did not find that they achieved a level of a significant difference. Results from this research will be helpful to operators of PWSs and other researchers and stakeholders with an interest in water reuse and DBPs.
","language":"English","publisher":"The Royal Society of Chemistry","doi":"10.1039/C9EW00326F","usgsCitation":"Weisman, R.J., Barber, L., Rapp, J., and Ferreira, C.M., 2019, De facto reuse and disinfection by-products in drinking water systems in the Shenandoah River watershed: Environmental Science: Water Research & Technology, v. 5, no. 10, p. 1699-1708, https://doi.org/10.1039/C9EW00326F.","productDescription":"10 p.","startPage":"1699","endPage":"1708","ipdsId":"IP-106374","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":367385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.189697265625,\n 39.67337039176558\n ],\n [\n -80.474853515625,\n 37.47485808497102\n ],\n [\n -79.9365234375,\n 37.23032838760387\n ],\n [\n -78.673095703125,\n 37.47485808497102\n ],\n [\n -77.47558593749999,\n 38.91668153637508\n ],\n [\n -77.266845703125,\n 39.639537564366684\n ],\n [\n -78.189697265625,\n 39.67337039176558\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weisman, Richard J","contributorId":218952,"corporation":false,"usgs":false,"family":"Weisman","given":"Richard","email":"","middleInitial":"J","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":770757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":770758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rapp, Jennifer 0000-0003-2253-9886","orcid":"https://orcid.org/0000-0003-2253-9886","contributorId":218954,"corporation":false,"usgs":true,"family":"Rapp","given":"Jennifer","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferreira, Celso M","contributorId":218955,"corporation":false,"usgs":false,"family":"Ferreira","given":"Celso","email":"","middleInitial":"M","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":770760,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227080,"text":"70227080 - 2019 - Influence of season, sex, age and diet composition on mercury concentration in Walleye Sander vitreus","interactions":[],"lastModifiedDate":"2021-12-29T15:38:12.247022","indexId":"70227080","displayToPublicDate":"2019-08-05T09:26:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influence of season, sex, age and diet composition on mercury concentration in Walleye Sander vitreus","title":"Influence of season, sex, age and diet composition on mercury concentration in Walleye Sander vitreus","docAbstract":"We collected Walleye Sander vitreus (May–October) from Bitter and Twin lakes, South Dakota to assess seasonal- and diet-related variation in tissue mercury (Hg) concentration. The average Hg concentration in Walleye was 43–68% higher in the spring for Bitter (p < 0.008) and Twin Lakes (p < 0.017) compared with summer or autumn months. Bioenergetics analysis of Bitter Lake Walleye showed that consumption of fish prey (primarily Fathead Minnow Pimephales promelas) increased from late summer through winter and was linked to increased Hg accumulation in Walleye the following spring. Mercury concentration varied significantly with Walleye age but was similar for comparably-aged male (0.62 μg/g) and female fish (0.62 μg/g). However, after adjusting for Walleye size (total length, mm), mean Hg concentration was greater in male (0.66 μg/g) compared with female (0.50 μg/g) fish, likely due to slower growth rate of male Walleye. At 425 mm, male Walleye in Bitter Lake were approximately 1 year older than female fish. These findings show that diet, age, and gender-related growth affect Hg concentration in Walleye and are important factors to consider in fish contaminant monitoring programs.
","language":"English","publisher":"Springer","doi":"10.1007/s00244-019-00658-1","usgsCitation":"Selch, T., Chipps, S.R., Blackwell, B.G., and Hanten, R.P., 2019, Influence of season, sex, age and diet composition on mercury concentration in Walleye Sander vitreus: Archives of Environmental Contamination and Toxicology, v. 77, p. 336-343, https://doi.org/10.1007/s00244-019-00658-1.","productDescription":"8 p.","startPage":"336","endPage":"343","ipdsId":"IP-107082","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":393591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","county":"Day County, Kingsbury County","otherGeospatial":"Bitter Lake, Twin Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n 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steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":829541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackwell, Brian G.","contributorId":270542,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brian","email":"","middleInitial":"G.","affiliations":[{"id":56178,"text":"South Dakota Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":829543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanten, Robert P.","contributorId":270543,"corporation":false,"usgs":false,"family":"Hanten","given":"Robert","email":"","middleInitial":"P.","affiliations":[{"id":56178,"text":"South Dakota Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":829544,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204726,"text":"70204726 - 2019 - A mosaic of estuarine habitat types with prey resources from multiple environmental strata supports a diversified foraging portfolio for juvenile Chinook salmon","interactions":[],"lastModifiedDate":"2019-10-09T09:36:32","indexId":"70204726","displayToPublicDate":"2019-08-05T08:02:12","publicationYear":"2019","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 mosaic of estuarine habitat types with prey resources from multiple environmental strata supports a diversified foraging portfolio for juvenile Chinook salmon","docAbstract":"Estuaries provide vital nursery habitat for threatened Chinook salmon (Oncorhynchus tshawytscha) by promoting an ecological portfolio effect, whereby multiple habitat types and environmental strata maximize foraging opportunities for out-migrating salmon by varying the abundance and composition of prey through space and time. To study this portfolio effect, we evaluated the foraging capacity of five estuarine habitat types within the Nisqually River Delta (Puget Sound, Washington, USA). Within each habitat, we sampled invertebrate prey resources from the terrestrial, aquatic, benthic, and epifaunal strata and compared them to juvenile salmon diets from corresponding sampling events. We found that the emergent salt marsh supplied twice as much aquatic prey biomass as any other habitat (720–5523 mg/m3), followed by the mudflat (246–2543 mg/m3) and eelgrass (Zostera marina; 141–2694 mg/m3) habitats. Despite some evidence for selectivity, juvenile salmon diets exhibited substantial compositional overlap, especially when compared to among-habitat differences in available prey resources. Fish that were captured in salt marsh, mudflat, and eelgrass consumed aquatic crustaceans such as mysids, while fish captured upriver in forested and transitional marshes ate a higher proportion of adult and larval insects. The availability and consumption of greater quantities of energy-poor crustaceans in the salt marsh and lower quantities of energy-rich insects upriver highlights a quantity-for-quality tradeoff among estuarine habitats. Our findings indicate that the timing, productivity, and diversity of prey across multiple habitat types and environmental strata determine an estuary’s capacity to support foraging for multiple life history strategies, size classes, and cohorts of juvenile salmon.","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00613-2","usgsCitation":"Woo, I., Davis, M.J., Ellings, C.S., Hodgson, S., Takekawa, J., Nakai, G., and De La Cruz, S.E., 2019, A mosaic of estuarine habitat types with prey resources from multiple environmental strata supports a diversified foraging portfolio for juvenile Chinook salmon: Estuaries and Coasts, v. 42, no. 7, p. 1938-1954, https://doi.org/10.1007/s12237-019-00613-2.","productDescription":"17 p.","startPage":"1938","endPage":"1954","ipdsId":"IP-105812","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":366491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.815673828125,\n 46.89023157359399\n ],\n [\n -121.97021484374999,\n 46.89023157359399\n ],\n [\n -121.97021484374999,\n 48.95858066440977\n ],\n [\n -124.815673828125,\n 48.95858066440977\n ],\n [\n -124.815673828125,\n 46.89023157359399\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":768199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Melanie J. 0000-0003-1734-7177","orcid":"https://orcid.org/0000-0003-1734-7177","contributorId":202773,"corporation":false,"usgs":true,"family":"Davis","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":768200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellings, Christopher S.","contributorId":149343,"corporation":false,"usgs":false,"family":"Ellings","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":17711,"text":"Dep't Natural Resources, Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":768201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hodgson, Sayre","contributorId":172121,"corporation":false,"usgs":false,"family":"Hodgson","given":"Sayre","email":"","affiliations":[{"id":26985,"text":"Nisqually Indian Tribe, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":768202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":768203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nakai, Glynnis","contributorId":172123,"corporation":false,"usgs":false,"family":"Nakai","given":"Glynnis","email":"","affiliations":[{"id":26986,"text":"US Fish and Wildlife Service, Nisqually Nat'l Wildlife Refuge, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":768204,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":768198,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70206160,"text":"70206160 - 2019 - Quantifying trends and uncertainty in prehistoric forest composition","interactions":[],"lastModifiedDate":"2019-12-04T06:27:40","indexId":"70206160","displayToPublicDate":"2019-08-05T06:57:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying trends and uncertainty in prehistoric forest composition","docAbstract":"Forest ecosystems in eastern North America were in flux over the last\nseveral thousand years, well before Euro-American land clearance and the\n20th-century onset of anthropogenic climate change. However, the\nmagnitude and uncertainty of prehistoric vegetation change have been\ndifficult to quantify because of the multiple ecological, dispersal, and\nsedimentary processes that govern the relationship between forest\ncomposition and fossil pollen assemblages. Here we extend STEPPS, a\nBayesian hierarchical spatio-temporal pollen-vegetation model, to estimate\nchanges in forest composition in the upper Midwestern United States from\nabout 2000 to 200 years ago. Using this approach, we identify areas of\nstatistically and ecologically significant change. Between 2000 and 200\nyears ago, forest composition significantly changed across broad regions of\nnorth-central Wisconsin and Minnesota. Rates of compositional change\nvaried spatially, and can be linked to previously reported events. The single\nlargest change is the infilling of Tsuga canadensis in northern Wisconsin\nover the past 2000 years. Despite this range in-filling, the range limit of T.\ncanadensis was largely stable, with modest expansion westward. The\nregional ecotone between temperate hardwood forests and northern mixed\nhardwood/conifer forests shifted southwestward by 15-20 km in Minnesota\nand Northwestern Wisconsin. Fraxinus, Ulmus, and other mesic hardwoods\nexpanded in the Big Woods region of southern Minnesota. However, some\nareas showed no significant change, suggesting high complexity in the\nspatiotemporal patterns of past forest dynamics. The increasing density of\npaleoecological data networks and advances in statistical modeling\napproaches now enables the confident detection of subtle but significant\nchanges in forest composition over the last 2000 years.","language":"English","publisher":"Wiley","doi":"10.1002/ecy.2856","usgsCitation":"Andria Dawson, Christopher J. Paciorek, Goring, S., Jackson, S., Jason S. McLachlan, and John W. Williams, 2019, Quantifying trends and uncertainty in prehistoric forest composition: Ecology, v. 100, no. 12, e02856, https://doi.org/10.1002/ecy.2856.","productDescription":"e02856","ipdsId":"IP-096645","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":467395,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2856","text":"Publisher Index Page"},{"id":368548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.328125,\n 42.85985981506279\n ],\n [\n -87.56103515625,\n 42.85985981506279\n ],\n [\n -87.56103515625,\n 44.653024159812\n ],\n [\n -96.328125,\n 44.653024159812\n ],\n [\n -96.328125,\n 42.85985981506279\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"100","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Andria Dawson","contributorId":219996,"corporation":false,"usgs":false,"family":"Andria Dawson","affiliations":[{"id":40107,"text":"Mount Royal University","active":true,"usgs":false}],"preferred":false,"id":773745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christopher J. Paciorek","contributorId":219997,"corporation":false,"usgs":false,"family":"Christopher J. Paciorek","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":773746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goring, Simon","contributorId":219998,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":773747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Stephen 0000-0002-1487-4652","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":219995,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":773744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jason S. McLachlan","contributorId":219999,"corporation":false,"usgs":false,"family":"Jason S. McLachlan","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":773748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"John W. Williams","contributorId":197556,"corporation":false,"usgs":false,"family":"John W. Williams","affiliations":[],"preferred":false,"id":773749,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70206467,"text":"70206467 - 2019 - Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses","interactions":[],"lastModifiedDate":"2023-06-21T15:28:30.150596","indexId":"70206467","displayToPublicDate":"2019-08-03T10:38:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses","docAbstract":"Influenza A viruses are one of the most significant viral groups globally with substantial impacts on human, domestic animal and wildlife health. Wild birds are the natural reservoirs for these viruses, and active surveillance within wild bird populations provides critical information about viral evolution forming the basis of risk assessments and countermeasure development. Unfortunately, active surveillance programs are often resource‐intensive, and thus, enhancing programs for increased efficiency is paramount. Machine learning, a branch of artificial intelligence applications, provides statistical learning procedures that can be used to gain novel insights into disease surveillance systems. We use a form of machine learning, gradient boosted trees, to estimate the probability of isolating avian influenza viruses (AIV) from wild bird samples collected during surveillance for AIVs from 2006 to 2011 in the United States. We examined several predictive features including age, sex, bird type, geographic location and matrix gene rRT‐PCR results. Our final model had high predictive power and only included geographic location and rRT‐PCR results as important predictors. The highest predicted viral isolation probability was for samples collected from the north‐central states and the south‐eastern region of Alaska. Lower rRT‐PCR Ct‐values are associated with increased likelihood of AIV isolation, and the model estimated 16% probability of isolating AIV from samples declared negative (i.e., ≥35 Ct‐value) using the rRT‐PCR screening test and standard protocols. Our model can be used to prioritize previously collected samples for isolation and rapidly evaluate AIV surveillance designs to maximize the probability of viral isolation given limited resources and laboratory capacity.
","language":"English","publisher":"Wiley","doi":"10.1111/tbed.13318","usgsCitation":"Walsh, D.P., Ma, T.F., Ip, S., and Zhu, J., 2019, Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses: Transboundary and Emerging Diseases, v. 66, no. 6, p. 2537-2545, https://doi.org/10.1111/tbed.13318.","productDescription":"9 p.; Data Release","startPage":"2537","endPage":"2545","ipdsId":"IP-109212","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":467396,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/tbed.13318","text":"Publisher Index Page"},{"id":368966,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418298,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96YJRWR"}],"volume":"66","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":774746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ma, Ting Fung","contributorId":220321,"corporation":false,"usgs":false,"family":"Ma","given":"Ting","email":"","middleInitial":"Fung","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":774747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":774748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Jun","contributorId":73485,"corporation":false,"usgs":true,"family":"Zhu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":774749,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207963,"text":"70207963 - 2019 - Drinking water quality in the glacial aquifer system, northern USA","interactions":[],"lastModifiedDate":"2020-01-22T11:42:02","indexId":"70207963","displayToPublicDate":"2019-08-02T14:25:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5331,"text":"Science of Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Drinking water quality in the glacial aquifer system, northern USA","docAbstract":"Groundwater supplies 50% of drinking water worldwide, but compromised water quality from anthropogenic and geogenic contaminants can limit usage of groundwater as a drinking water source. Groundwater quality in the glacial aquifer system, USA (GLAC), is presented in the context of a hydrogeologic framework that divides the study area into 17 hydrogeologic terranes. Results are reported at aquifer-system scale and regional (terrane) scale. This paper presents a quantitative assessment of groundwater quality in the GLAC using data from numerous sources for samples collected 2005–2013, compared to health-based and aesthetic (non-health) benchmarks, and evaluated with areal and population metrics. Concentrations above a benchmark are considered high. Trace elements are widespread across the study area, with an estimated 5.7 million people relying on groundwater with high concentrations of one or more trace elements; manganese and arsenic are most often at high concentration. Nitrate is found at high concentration in 4.0% of the study area, serving about 740 thousand people. Organic compounds including pesticides and volatile organic compounds are high in 2.0% of the assessed study area, with about 870 thousand people relying on groundwater with high concentrations of an organic compound. High arsenic and manganese concentrations occur primarily in the terranes with thick, stratigraphically complex, fine-grained glacial sediment, coincident with groundwater under reducing conditions (indicated by iron concentrations >100 μg/L); high nitrate is uncommon in those same terranes. When nitrate is high in thick, fine-grained, complex terranes, though, it is much more commonly associated with groundwater under more oxidizing conditions. Common geogenic trace elements occur at high concentration due to characteristic geologic and geochemical conditions. Conversely, anthropogenic nitrate and organic compounds are introduced at or near the land surface. High concentrations of nitrate or organic compounds are generally limited to areas in proximity where people live and use the chemicals.
The disjunct distribution of Cambarus monongalensis has led to speculation about its taxonomic status. An Appalachian Plateau population occurs in northern and central West Virginia and Southwestern Pennsylvania, and a mountain population occurs in the Allegheny Mountains and Ridge and Valley physiographic provinces of the Virginias. Herein we describe the mountain population as Cambarus fetzneri sp. nov. The two species differ genetically and morphologically, and have different color patterns. Specifically, C. fetzneri sp. nov. chelae lack extensive red coloration on the distal end of the propodus and dactyl, possess rostral margins that lack any red coloration, compared to C. monongalensis, which has extensive red coloration on the dactyl and propodus, as well as red rostral margins. Morphologically, the rostrum of C. fetzneri sp. nov. is shorter and wider than that of C. monongalensis. Also, adult C. fetzneri sp. nov. are considerably smaller in body size than those of C. monongalensis.
","language":"English","publisher":"Magnolia Press","doi":"10.11646/zootaxa.4651.1.2","usgsCitation":"Loughman, Z.J., Welsh, S.A., and Thoma, R., 2019, Cambarus fetzneri sp. nov., a new species of burrowing crayfish (Decapoda: Cambaridae) from the Allegheny Mountains of Virginia and West Virginia, USA: Zootaxa, v. 4651, no. 1, p. 38-50, https://doi.org/10.11646/zootaxa.4651.1.2.","productDescription":"13 p.","startPage":"38","endPage":"50","ipdsId":"IP-107748","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":393913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia, West Virginia","otherGeospatial":"Allegheny Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.364990234375,\n 36.54494944148322\n ],\n [\n -78.848876953125,\n 37.68382032669382\n ],\n [\n -78.079833984375,\n 38.65119833229951\n ],\n [\n -78.057861328125,\n 39.06184913429154\n ],\n [\n -78.01391601562499,\n 39.605688178320804\n ],\n [\n -78.167724609375,\n 39.715638134796336\n ],\n [\n -78.486328125,\n 39.53793974517628\n ],\n [\n -78.782958984375,\n 39.62261494094297\n ],\n [\n -79.1015625,\n 39.470125122358176\n ],\n [\n -79.486083984375,\n 39.21523130910491\n ],\n [\n -79.486083984375,\n 39.30029918615029\n ],\n [\n -79.859619140625,\n 39.33429742980725\n ],\n [\n -80.474853515625,\n 38.54816542304656\n ],\n [\n -82.012939453125,\n 37.54457732085582\n ],\n [\n -82.705078125,\n 37.15156050223665\n ],\n [\n -83.133544921875,\n 36.81808022778526\n ],\n [\n -83.660888671875,\n 36.60670888641815\n ],\n [\n -80.364990234375,\n 36.54494944148322\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4651","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Loughman, Zachary J.","contributorId":270905,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":40096,"text":"West Liberty University","active":true,"usgs":false}],"preferred":false,"id":830111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thoma, Roger F.","contributorId":270906,"corporation":false,"usgs":false,"family":"Thoma","given":"Roger F.","affiliations":[{"id":56219,"text":"Midwest Biodiversity Institute","active":true,"usgs":false}],"preferred":false,"id":830112,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205853,"text":"70205853 - 2019 - From Manitoba to Texas: A study of the population genetic structure of bur oak (Quercus macrocarpa)","interactions":[],"lastModifiedDate":"2019-10-29T16:46:16","indexId":"70205853","displayToPublicDate":"2019-08-01T16:43:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5882,"text":"International Oaks","active":true,"publicationSubtype":{"id":10}},"displayTitle":"From Manitoba to Texas: A study of the population genetic structure of bur oak (Quercus macrocarpa)","title":"From Manitoba to Texas: A study of the population genetic structure of bur oak (Quercus macrocarpa)","docAbstract":"In the taxonomic world, the oaks are known as a rambunctious group, notorious for hybridizing. In this report, we present preliminary information to address the question of how much hybridization is occurring between bur oak and white oaks with which it is sympatric, through rangewide sampling of bur oak and five co-occurring species: white oak (Q. alba L.), swamp white oak (Q. bicolor Willd.), post oak (Q. stellata Wangenh.), chinkapin oak (Q. muehlenbergii Engelm.), and overcup oak (Q. lyrata Walter). Bur oak is known to hybridize with all of these species (Hardin 1975). Using our multilocus dataset, we find that despite apparent introgression, these oak species are genetically cohesive.
","language":"English","publisher":"International Oak Society","isbn":"1941-2061","usgsCitation":"Garner, M., Pham, K., Whittemore, A.T., Cavender-Bares, J., Gugger, P.F., Manos, P., Pearse, I.S., and Hipp, A., 2019, From Manitoba to Texas: A study of the population genetic structure of bur oak (Quercus macrocarpa): International Oaks, v. 20, p. 131-138.","productDescription":"8 p.","startPage":"131","endPage":"138","ipdsId":"IP-106439","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":368725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","volume":"20","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Garner, Mira","contributorId":219593,"corporation":false,"usgs":false,"family":"Garner","given":"Mira","email":"","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":772624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pham, Kasey","contributorId":219594,"corporation":false,"usgs":false,"family":"Pham","given":"Kasey","email":"","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":772625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittemore, Alan T.","contributorId":219595,"corporation":false,"usgs":false,"family":"Whittemore","given":"Alan","email":"","middleInitial":"T.","affiliations":[{"id":40034,"text":"U.S. National Arboretum","active":true,"usgs":false}],"preferred":false,"id":772626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cavender-Bares, Jeannine","contributorId":219596,"corporation":false,"usgs":false,"family":"Cavender-Bares","given":"Jeannine","email":"","affiliations":[{"id":40035,"text":"U Minnesota","active":true,"usgs":false}],"preferred":false,"id":772627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gugger, Paul F.","contributorId":206006,"corporation":false,"usgs":false,"family":"Gugger","given":"Paul","email":"","middleInitial":"F.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":772628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manos, Paul","contributorId":219597,"corporation":false,"usgs":false,"family":"Manos","given":"Paul","email":"","affiliations":[{"id":40036,"text":"Duke U.","active":true,"usgs":false}],"preferred":false,"id":772629,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearse, Ian S. 0000-0001-7098-0495 ipearse@usgs.gov","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":196309,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","email":"ipearse@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":772623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hipp, Andrew","contributorId":219598,"corporation":false,"usgs":false,"family":"Hipp","given":"Andrew","email":"","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":772630,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205046,"text":"70205046 - 2019 - White-tailed deer movements and space use on Fire Island: A four-year radio-telemetry study 2015-2016 post-Hurricane Sandy assessment","interactions":[],"lastModifiedDate":"2020-04-11T16:02:22.734588","indexId":"70205046","displayToPublicDate":"2019-08-01T14:26:24","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":273,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"2019/2037","title":"White-tailed deer movements and space use on Fire Island: A four-year radio-telemetry study 2015-2016 post-Hurricane Sandy assessment","docAbstract":"Hurricane Sandy provided a unique opportunity to better understand the movements of Fire Island’s dense white-tailed deer (Odocoileus virginianus borealis) herds. White-tailed deer inhabit all areas of Fire Island National Seashore and their high densities negatively affect native vegetation in several areas of the island, especially as disturbed areas attempt to recover after a catastrophic storm like Hurricane Sandy. Understanding deer movements and space use helps land managers to prioritize white-tailed deer population size and the health and recovery potential of Fire Island’s natural lands according to their management goals. The results of this study will inform Fire Island staff as they prepare to initiate the tasks set forth by the Seashore’s approved Deer Management Plan.\n \nWe used radio-collars fitted with Very High Frequency (VHF) signal and Global Positioning System (GPS) technology to monitor movements of white-tailed deer for four years after Hurricane Sandy. The greatest movements of Fire Island’s adult female white-tailed deer occurred in spring each year. Home range and core area sizes varied among study areas and years, but suggested hierarchical dominance among Fire Island’s deer populations. Potentially six distinct populations were delineated through analysis of GPS radio-collar data, though these divisions also reflect the concentrated sampling efforts of deer capture. Nearly all deer monitored shared time between natural and nearby built environments. Since Hurricane Sandy, deer movements in Fire Island’s Wilderness are divided by the storm-induced breach. GPS radio-collars provided a wealth of data for analysis of deer movements and space use, and this report is simply a snapshot of the potential information we intend to gain from this study.","language":"English","publisher":"National Park Service","collaboration":"","usgsCitation":"Kilheffer, C.R., Raphael, J., Ries, L., and Underwood, H.B., 2019, White-tailed deer movements and space use on Fire Island: A four-year radio-telemetry study 2015-2016 post-Hurricane Sandy assessment: Natural Resource Report 2019/2037, xiii, 41 p.","productDescription":"xiii, 41 p.","ipdsId":"IP-103802","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":373897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373896,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2267314"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.34197998046875,\n 40.61916465186328\n ],\n [\n -73.17993164062499,\n 40.61812224225511\n ],\n [\n -72.45483398437499,\n 40.831475967182925\n ],\n [\n -72.47817993164061,\n 40.851215574282456\n ],\n [\n -72.93960571289062,\n 40.74413568925235\n ],\n [\n -73.17718505859375,\n 40.65251317049883\n ],\n [\n -73.31451416015625,\n 40.637925243274374\n ],\n [\n -73.34197998046875,\n 40.61916465186328\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kilheffer, Chellby R.","contributorId":177173,"corporation":false,"usgs":false,"family":"Kilheffer","given":"Chellby","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":769737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raphael, Jordan","contributorId":218631,"corporation":false,"usgs":false,"family":"Raphael","given":"Jordan","email":"","affiliations":[{"id":39877,"text":"National Park Service, Fire Island National Seashore","active":true,"usgs":false}],"preferred":false,"id":769738,"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":769739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Underwood, H. Brian 0000-0002-2064-9128 hbunderw@usgs.gov","orcid":"https://orcid.org/0000-0002-2064-9128","contributorId":140185,"corporation":false,"usgs":true,"family":"Underwood","given":"H.","email":"hbunderw@usgs.gov","middleInitial":"Brian","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":769736,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205892,"text":"70205892 - 2019 - What nutrient sources support anomalous growth and the recent sargassum mass stranding on Caribbean beaches? A review","interactions":[],"lastModifiedDate":"2019-10-11T14:58:05","indexId":"70205892","displayToPublicDate":"2019-08-01T13:05:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"What nutrient sources support anomalous growth and the recent sargassum mass stranding on Caribbean beaches? A review","docAbstract":"Since 2011, tropical beaches from Africa to Brazil, Central America, and the Caribbean have been inundated by tons of sargassum seaweed from a new equatorial source of pelagic sargassum in the Atlantic. In recent years the extraordinary accumulations of sargassum make this a nuisance algal bloom for tropical coasts. In 2018 satellite data indicated floating mats of sargassum that extended throughout the Caribbean to the northeast coast of Brazil with the highest percent coverage over the water yet recorded. A literature review suggests that Atlantic equatorial recirculation of seaweed mats combined with nutrients from several possible sources may be stimulating the growth and accumulations of sargassum. In the western equatorial recirculation area, new nutrient sources may include Amazon River floods and hurricanes; in the eastern equatorial recirculation area, nutrient sources that could sustain the sargassum blooms include coastal upwelling and Congo River freshwater and nutrients.","language":"English","publisher":"Elsevier ","doi":"10.1016/j.marpolbul.2019.06.049","usgsCitation":"Oviatt, C., Huizenga, K., Rogers, C., and Miller, J., 2019, What nutrient sources support anomalous growth and the recent sargassum mass stranding on Caribbean beaches? A review: Marine Pollution Bulletin, v. 145, p. 517-525, https://doi.org/10.1016/j.marpolbul.2019.06.049.","productDescription":"9 p.","startPage":"517","endPage":"525","ipdsId":"IP-101380","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488856,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/gsofacpubs/1982","text":"External Repository"},{"id":368173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.87890625,\n 2.0210651187669897\n ],\n [\n -41.748046875,\n 2.0210651187669897\n ],\n [\n -41.748046875,\n 22.268764039073968\n ],\n [\n -90.87890625,\n 22.268764039073968\n ],\n [\n -90.87890625,\n 2.0210651187669897\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"145","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oviatt, Candace","contributorId":219644,"corporation":false,"usgs":false,"family":"Oviatt","given":"Candace","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":772784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huizenga, Kristin","contributorId":219645,"corporation":false,"usgs":false,"family":"Huizenga","given":"Kristin","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":772786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Caroline 0000-0001-9056-6961","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":219643,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Jeff","contributorId":204570,"corporation":false,"usgs":false,"family":"Miller","given":"Jeff","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":772785,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205849,"text":"70205849 - 2019 - Proactive management of amphibians: Challenges and opportunities","interactions":[],"lastModifiedDate":"2019-10-08T12:53:35","indexId":"70205849","displayToPublicDate":"2019-08-01T12:52:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Proactive management of amphibians: Challenges and opportunities","docAbstract":"Delaying species management reduces the chance of successful recovery, increases the risk of extinction, and can be expensive. Acting before major declines are realized affords access to a greater suite of cost-effective management actions to sustain populations, reducing the likelihood of declines warranting protected status. It is clear that reactive management approaches are not sufficient for amphibian conservation and a successful path forward will require novel proactive approaches and strong leadership. We describe how conservation timelines and structured decision making can help explicitly evaluate management options available to species given current, and often limited, knowledge about populations or distributions. We illustrate this framework using common and widespread amphibians, as many species are in decline, including those found in protected conservation areas. We promote the development of explicit management objectives, management triggers and advocate for evaluating the cost-effectiveness of actions before species declines are observed.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.05.057","usgsCitation":"Sterrett, S., Campbell Grant, E.H., R, K., Brand, A., Fields, W.R., Dietrich, A., D, H., T, F., and Wiewel, A., 2019, Proactive management of amphibians: Challenges and opportunities: Biological Conservation, v. 236, p. 404-410, https://doi.org/10.1016/j.biocon.2019.05.057.","productDescription":"7 p.","startPage":"404","endPage":"410","ipdsId":"IP-105940","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":368102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368095,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0006320718316136"}],"volume":"236","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sterrett, SC","contributorId":219582,"corporation":false,"usgs":false,"family":"Sterrett","given":"SC","email":"","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":772607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":772606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"R, Katz","contributorId":219583,"corporation":false,"usgs":false,"family":"R","given":"Katz","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":772608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brand, Adrianne 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":219584,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":772609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fields, William R.","contributorId":152076,"corporation":false,"usgs":false,"family":"Fields","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":772610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dietrich, A","contributorId":219585,"corporation":false,"usgs":false,"family":"Dietrich","given":"A","email":"","affiliations":[{"id":40031,"text":"PWRC","active":true,"usgs":false}],"preferred":false,"id":772611,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"D, Hocking","contributorId":219586,"corporation":false,"usgs":false,"family":"D","given":"Hocking","email":"","affiliations":[{"id":40032,"text":"Frostburg state","active":true,"usgs":false}],"preferred":false,"id":772612,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"T, Foreman","contributorId":219587,"corporation":false,"usgs":false,"family":"T","given":"Foreman","email":"","affiliations":[{"id":40031,"text":"PWRC","active":true,"usgs":false}],"preferred":false,"id":772613,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wiewel, A","contributorId":219588,"corporation":false,"usgs":false,"family":"Wiewel","given":"A","email":"","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":772614,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70205003,"text":"70205003 - 2019 - Mapping research on hydropower and sustainability in the Brazilian Amazon: Advances, gaps in knowledge and future directions","interactions":[],"lastModifiedDate":"2019-08-28T12:39:15","indexId":"70205003","displayToPublicDate":"2019-08-01T12:22:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5061,"text":"Current Opinion in Environmental Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Mapping research on hydropower and sustainability in the Brazilian Amazon: Advances, gaps in knowledge and future directions","docAbstract":"In the last twenty years, multiple large and small hydroelectric dams have begun to transform the Amazonian region, spawning a growing volume of academic research across diverse disciplinary and interdisciplinary fields. In this article, we offer a critical review of recent research related to hydropower and sustainability with a focus on the Brazilian Amazon. We revisit the\nsustainability concept to include the contribution of various knowledge fields and perspectives for understanding, managing and making decisions about social-ecological systems\ntransformed by dams. We conducted a literature review in Web of Science of academic publications centered in the past 5 years (2014–2019), on diverse aspects of hydropower planning, construction, operation and monitoring in the Brazilian Amazon. We present results of a co-occurrence network analysis of publications, highlighting bridging fields, network\ndisconnections, and opportunities for interdisciplinary research. Finally, we report recent advances in the understanding and management of social-ecological systems in Amazonian\nwatersheds, including biophysical, socio-economic, governance and development processes linked to hydropower planning and implementation. This review identifies knowledge gaps and\nfuture research directions, highlighting opportunities for improved communication among scientists, practitioners, decision-makers, indigenous peoples and local communities.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cosust.2019.06.004","usgsCitation":"Athayde, S., Matthews, M., Bohlman, S., Brasil, W., Doria, C.R., Dutka-Gianelli, J., Fearnside, P.M., Loiselle, B., Marques, E.E., Melis, T., Millikan, B., Moretto, E.M., Oliver-Smith, A., Rossete, A., Vacca, R., and Kaplan, D., 2019, Mapping research on hydropower and sustainability in the Brazilian Amazon: Advances, gaps in knowledge and future directions: Current Opinion in Environmental Sustainability, v. 37, p. 50-69, https://doi.org/10.1016/j.cosust.2019.06.004.","productDescription":"20 p.","startPage":"50","endPage":"69","ipdsId":"IP-111235","costCenters":[{"id":568,"text":"Southwest Biological Science 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Raffaele","contributorId":218611,"corporation":false,"usgs":false,"family":"Vacca","given":"Raffaele","email":"","affiliations":[],"preferred":false,"id":769633,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kaplan, David","contributorId":218612,"corporation":false,"usgs":false,"family":"Kaplan","given":"David","affiliations":[],"preferred":false,"id":769634,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70203790,"text":"sir20195056 - 2019 - Documentation of a Soil-Water-Balance Model to estimate recharge to Blue Ridge, Piedmont, and Mesozoic Basin fractured-rock aquifers, Fauquier County, Virginia, 1996 through 2015","interactions":[],"lastModifiedDate":"2019-08-02T06:54:54","indexId":"sir20195056","displayToPublicDate":"2019-08-01T12:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5056","displayTitle":"Documentation of a Soil-Water-Balance Model to Estimate Recharge to Blue Ridge, Piedmont, and Mesozoic Basin Fractured-Rock Aquifers, Fauquier County, Virginia, 1996 through 2015","title":"Documentation of a Soil-Water-Balance Model to estimate recharge to Blue Ridge, Piedmont, and Mesozoic Basin fractured-rock aquifers, Fauquier County, Virginia, 1996 through 2015","docAbstract":"This report documents a Soil-Water-Balance (SWB) model that was developed for an area covering the Blue Ridge, Piedmont, and Mesozoic basin fractured-rock aquifers in Fauquier County, Virginia, for the calendar years 1996–2015. The SWB model includes an area of 1,498 square miles, divided into 1,076-square-foot (100-square-meter) grid cells on which daily groundwater recharge was estimated using existing elevation, meteorological, land-use, and soil property datasets.
Daily groundwater recharge estimates obtained from the model were summarized annually, and annual model output was compared to the results of the hydrograph separation method, PART, on streamflow data from two streamgages in Fauquier County with periods of continuous record overlapping those of the SWB model period (01643700 Goose Creek near Middleburg, Virginia, and 01656000 Cedar Run near Catlett, Virginia). Spatially distributed groundwater recharge results from the SWB model represent annual conditions and the 20-year average values for the years 1996–2015, including estimated recharge during a previously defined drought in 2001. The 20-year average recharge in Fauquier County from the SWB model ranged from 8.1 inches per year (in/yr) in Blue Ridge aquifers to 5.3 in/yr in Mesozoic basin aquifers. Although mean annual precipitation volumes vary slightly across the County, the contrast in recharge among the Blue Ridge and western Piedmont aquifers with that of the Mesozoic basin aquifers is largely a result of differences in soil infiltration capacity. Precipitation totals 20 percent below mean annual precipitation from 1996–2015 produced drought recharge rates that were less than 50 percent of mean annual recharge.
The SWB model and model output, including spatially distributed annual estimates of groundwater recharge, evapotranspiration, and gross precipitation for the 1996 through 2015 model period, are publicly available as a U.S. Geological Survey data release.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195056","collaboration":"Prepared in cooperation with the Fauquier County Department of Community Development","usgsCitation":" McCoy, K.J., and Ladd, D.E., 2019, Documentation of a Soil-Water-Balance model to estimate recharge to Blue Ridge, Piedmont, and Mesozoic Basin fractured-rock aquifers, Fauquier County, Virginia, 1996 through 2015: U.S. Geological Survey Scientific Investigations Report 2019–5056, 22 p., https://doi.org/10.3133/sir20195056. 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U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
Protected lands like national parks are important refuges for threatened and endangered species as environmental pressures on wildlife and their habitats increase. The Northern Spotted Owl (Strix occidentalis caurina), a species designated as threatened under the Endangered Species Act, occurs on public lands throughout the western United States including Mount Rainier National Park (MRNP), Washington. With virtually no history of timber harvest or large forest disturbance within MRNP boundaries since the park’s creation in 1899, MRNP provides an ideal place to evaluate potential impacts of climate change and invasive Barred Owls (Strix varia) on the Northern Spotted Owl. We used a multi-state, multi-season occupancy model to investigate how Northern Spotted Owl occupancy dynamics and breeding propensity are related to the presence of Barred Owls, local and regional weather, and habitat characteristics at MRNP from 1997 to 2016. Historical occupancy of Northern Spotted Owl breeding territories in MRNP has declined by 50% in the last 20 yr, and territory occupancy by breeding Northern Spotted Owls also decreased, reaching a low of 25% in 2016. Occupancy rates were higher on territories with steeper terrain and breeding rates were lower when Barred Owls were detected within historical territories. Our results also indicated that breeding propensity was higher when early nesting season temperatures during March and April were higher. In addition, the ability to detect breeding Northern Spotted Owls decreased when Barred Owls were present in the territory. Habitat variables from LiDAR were not correlated with Northern Spotted Owl occupancy dynamics, likely reflecting the dominance of old-growth forest in this protected park. This study illustrates the strong relationship between Barred Owls and Northern Spotted Owl demographics and breeding site selection in a landscape where habitat loss by timber harvest and fire has not occurred.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/condor/duz031","usgsCitation":"Mangan, A.O., Chestnut, T., Vogeler, J.C., Breckheimer, I.K., King, W.M., Bagnall, K.E., and Dugger, K., 2019, Barred Owls reduce occupancy and breeding propensity of Northern Spotted Owl in a Washington old-growth forest: Ornithological Applications, v. 121, no. 3, duz031, 20 p., https://doi.org/10.1093/condor/duz031.","productDescription":"duz031, 20 p.","ipdsId":"IP-102940","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":388548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Ranier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -482.0938110351562,\n 46.590956573124544\n ],\n [\n -481.5032958984375,\n 46.590956573124544\n ],\n [\n -481.5032958984375,\n 47.09069560264967\n ],\n [\n -482.0938110351562,\n 47.09069560264967\n ],\n [\n -482.0938110351562,\n 46.590956573124544\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Mangan, Anna O.","contributorId":264791,"corporation":false,"usgs":false,"family":"Mangan","given":"Anna","email":"","middleInitial":"O.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":821986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chestnut, Tara","contributorId":264792,"corporation":false,"usgs":false,"family":"Chestnut","given":"Tara","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":821987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogeler, Jody C.","contributorId":264796,"corporation":false,"usgs":false,"family":"Vogeler","given":"Jody","email":"","middleInitial":"C.","affiliations":[{"id":54555,"text":"umn","active":true,"usgs":false}],"preferred":false,"id":821988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breckheimer, Ian K.","contributorId":264797,"corporation":false,"usgs":false,"family":"Breckheimer","given":"Ian","email":"","middleInitial":"K.","affiliations":[{"id":54558,"text":"hu","active":true,"usgs":false}],"preferred":false,"id":821989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Wendy M.","contributorId":264798,"corporation":false,"usgs":false,"family":"King","given":"Wendy","email":"","middleInitial":"M.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":821990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bagnall, Keith E.","contributorId":264799,"corporation":false,"usgs":false,"family":"Bagnall","given":"Keith","email":"","middleInitial":"E.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":821991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":821985,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204586,"text":"70204586 - 2019 - Responding to risky neighbors: Testing for spatial spillover effects for defensible space in a fire-prone WUI community","interactions":[],"lastModifiedDate":"2019-08-06T09:25:32","indexId":"70204586","displayToPublicDate":"2019-08-01T10:37:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5848,"text":"Environmental and Resource Economics","onlineIssn":"1573-1502","printIssn":"0924-6460","active":true,"publicationSubtype":{"id":10}},"title":"Responding to risky neighbors: Testing for spatial spillover effects for defensible space in a fire-prone WUI community","docAbstract":"Often, factors that determine the risk of an environmental hazard occur at landscape scales, and risk mitigation requires action by multiple private property owners. How property owners respond to risk mitigation on neighboring lands depends on whether mitigation actions are strategic complements or strategic substitutes. We test for these neighbor interactions with a case study on wildfire risk mitigation on private properties. We use two measures of wildfire risk mitigation—an assessment by a wildfire professional and a self-assessment by homeowners. Taken together, the two assessments provide the first empirical explanation for strategic complements in wildfire risk mitigation and a more complete picture of how homeowners respond to this landscape-scale risk. We find homeowners that mitigate risk on their land are more likely to have neighbors that do the same, and homeowners that fail to mitigate risk are more likely to have neighbors that fail to do so as well. Due to spatial spillovers, motivating a few key residents to take action could reduce risk across the landscape.","language":"English","publisher":"Springer","doi":"10.1007/s10640-018-0286-0","usgsCitation":"Warziniack, T., Champ, P.A., Meldrum, J., Brenkert-Smith, H., Barth, C.M., and Falk, L.C., 2019, Responding to risky neighbors: Testing for spatial spillover effects for defensible space in a fire-prone WUI community: Environmental and Resource Economics, v. 73, no. 4, p. 1023-1047, https://doi.org/10.1007/s10640-018-0286-0.","productDescription":"25 p.","startPage":"1023","endPage":"1047","ipdsId":"IP-079601","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":366214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Delta County, Gunnison County , Ouray County, San Miguel 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PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Warziniack, Travis 0000-0002-9431-2288","orcid":"https://orcid.org/0000-0002-9431-2288","contributorId":217841,"corporation":false,"usgs":false,"family":"Warziniack","given":"Travis","email":"","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":767646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champ, Patricia A.","contributorId":195486,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":767647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":767645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":767648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barth, Christopher M.","contributorId":195487,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":767649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falk, Lilia C.","contributorId":210655,"corporation":false,"usgs":false,"family":"Falk","given":"Lilia","email":"","middleInitial":"C.","affiliations":[{"id":38125,"text":"West Region Wildfire Council","active":true,"usgs":false}],"preferred":false,"id":767650,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227615,"text":"70227615 - 2019 - Understanding fish assemblage structure in lentic ecosystems: Relative effects of abiotic factors and management legacies","interactions":[],"lastModifiedDate":"2022-01-21T16:09:31.163412","indexId":"70227615","displayToPublicDate":"2019-08-01T10:04:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Understanding fish assemblage structure in lentic ecosystems: Relative effects of abiotic factors and management legacies","docAbstract":"We investigated associations of fish assemblages and habitat characteristics (e.g., morphology and water chemistry) from 45 natural lakes and reservoirs in Iowa to determine whether species or trophic guild composition and environmental correlations were concordant between waterbodies of different origins. Overall, fish assemblage composition between natural lakes and reservoirs was consistently dissimilar based on a permutational multivariate ANOVA. Species composition from nonmetric multidimensional scaling ordinations for reservoirs was correlated with a variety of limnological and physical characteristics, whereas species composition and trophic composition of natural lakes were weakly associated with habitat characteristics. Species richness was positively related to waterbody and watershed size for reservoirs but not for natural lakes. Conversely, species richness was negatively correlated with increasing eutrophic conditions in natural lakes but not in reservoirs. Overall, distinct differences in assemblage composition were observed between natural and artificial lentic ecosystems and may have resulted from underlying differences in limnological, physical, and anthropogenic influences between systems. Dissimilar management legacies between waterbody types, such as limited or no stocking of nonrecreationally important species and the use of piscicides, may have additionally had overriding effects on the observed assemblage–environmental relationships. For instance, lower trophic richness and species richness in reservoirs appeared to have resulted from replacement of a diversity of small-bodied native species by relatively few commonly stocked sport fishes. Our results emphasize the need to consider waterbody origin and the potential influence of historical or current management strategies on fish assemblage characterization and subsequent inferences made from environmental correlations.
The Lone Tree deposit is located in the northern Battle Mountain mining district, Nevada. Prior to mine closure in 2006, Santa Fe Pacific Gold and Newmont produced 4.2 Moz of gold at an average grade of 2.06 g/t at Lone Tree, primarily from the N-S– to NNW-SSE–striking Wayne zone. The ore is located between the Roberts Mountain and Golconda thrusts in siliciclastic rocks of the Ordovician Valmy Formation and in the Pennsylvanian-Permian Battle Mountain and Edna Mountain Formations, and above the Golconda thrust in siliciclastic and carbonate rocks of the Mississippian to Permian Havallah sequence. Ore is also hosted by rhyolitic dikes that were emplaced at 40.95 ± 0.06 Ma based on zircon U-Pb chemical abrasion-thermal ionization mass spectrometry.
The gold is associated with sericitic and argillic alteration of the siliciclastic rocks and dikes and with decarbonatization and Fe carbonate alteration of the carbonate-bearing units, as well as in Fe-As sulfide and finegrained quartz alteration of all rock types. Oxidation affects 30 to 45% of the deposit, penetrating into the stratigraphy along numerous steeply dipping north-south, east-west, and north-northeast–south-southwest structures. Gold is positively correlated with Ag, As, Hg, and Sb. The highest Au grades occur in quartz-sulfide ore hosted in siliciclastic and carbonate sedimentary rocks and rhyolitic intrusions. In this ore style, fine-grained quartz and sericite are intergrown with disseminated sulfide minerals (quartz-sericite-pyrite alteration), constituting cores of weakly mineralized pyrite or marcasite, which are surrounded by fuzzy arsenopyrite rims that contain up to ~2,000 ppm Au. Low gold grades occur in late-stage banded pyrite breccias consisting of a finely zoned Au-poor pyrite matrix surrounding jigsaw-fit clasts of quartz-, illite-, barite-, and adularia-altered siliciclastic rock. The timing of main-stage mineralization is bracketed between the emplacement of the dikes and an adularia 40Ar/39Ar age of 40.14 ± 0.74 Ma.
Sericite intergrown with arsenopyrite-rimmed pyrite in phenocrysts of the rhyolite dikes gave δ18O values of 1.6 to 9.5‰ and δD values of –105 to –145‰. For temperatures of 300 ± 100°C, the calculated fluid isotopic compositions are consistent with felsic magmatic water and minor modifications by mixing with meteoric water and exchange with wall rocks. In the silica-sulfide ore, in situ isotopic laser ablation-multicollector-inductively coupled plasma-mass spectrometry (LA-MC-ICP-MS) analyses of pyrite cores yielded δ34S values ranging from 3.4 to 7.7‰, with average values of 5.6‰ in the felsic dikes, 4.5‰ in the siliciclastic rocks, and 5.3‰ in the carbonate rocks. These values match conventional pyrite δ34S data reported for Eocene porphyry systems elsewhere in the district. Nanoscale secondary ion mass spectrometry analyses show that gold and associated trace elements occur in submicron-scale zones within arsenopyrite rims on pyrite. The average δ34S values of the arsenopyrite rims are 5.3 to 6.5‰ heavier than the pyrite cores, indicating cooling and an increasing H2S/SO2 ratio. The highest grades resulted from episodic pulses of a gold-rich fluid that was partly derived from, or exchanged with, the sedimentary host rocks. In situ LA-MC-ICP-MS δ34S values for the late-stage banded pyrite breccia become progressively lighter from veinlet margin to center, reaching a low of –32‰. These veinlets indicate a shift from main-stage quartz-sericite-pyrite and intermediate argillic alteration to more neutral pH and oxidizing conditions during late-stage mineralization, indicating either increasing interaction between the fluid and sedimentary sulfur sources in the host-rock package or bacterial sulfate reduction and supergene sulfide precipitation.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4665","usgsCitation":"Holley, E.A., Lowe, J., Johnson, C.A., and Pribil, M., 2019, Magmatic-hydrothermal gold mineralization at the Lone Tree Mine, Battle Mountain district, Nevada: Economic Geology, v. 114, no. 5, p. 811-856, https://doi.org/10.5382/econgeo.4665.","productDescription":"46 p.","startPage":"811","endPage":"856","ipdsId":"IP-104133","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":388732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Battle Mountain district, Lone Tree Mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.003662109375,\n 38.272688535980976\n ],\n [\n -114.202880859375,\n 38.272688535980976\n ],\n [\n -114.202880859375,\n 41.99624282178583\n ],\n [\n -120.003662109375,\n 41.99624282178583\n ],\n [\n -120.003662109375,\n 38.272688535980976\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"114","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Holley, Elizabeth A. 0000-0003-2504-4555","orcid":"https://orcid.org/0000-0003-2504-4555","contributorId":265154,"corporation":false,"usgs":false,"family":"Holley","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":822332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Justin","contributorId":265155,"corporation":false,"usgs":false,"family":"Lowe","given":"Justin","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":822333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":822334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":822335,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236154,"text":"70236154 - 2019 - Hydroclimatology of the Mississippi River Basin","interactions":[],"lastModifiedDate":"2022-08-30T14:18:05.915762","indexId":"70236154","displayToPublicDate":"2019-08-01T09:11:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Hydroclimatology of the Mississippi River Basin","docAbstract":"Model estimated monthly water balance (WB) components (i.e., potential evapotranspiration, actual evapotranspiration, and runoff [R]) for 848 United States (U.S.) Geological Survey 8-digit hydrologic units located in the Mississippi River Basin (MRB) are used to examine the temporal and spatial variability of the MRB WB for water years 1901 through 2014. Results indicate the MRB can be divided into nine subregions with similar temporal variability in R. The WB analyses indicated ~79% of total water-year MRB runoff is generated by four of the nine subregions and most of the R in the basin is derived from surplus (S) water during the months of December through May. Furthermore, the analyses showed temporal variability in S is largely controlled by the occurrence of negative atmospheric pressure anomalies over the western U.S. and positive atmospheric pressure anomalies over the eastern U.S. coast. This combination of atmospheric pressure anomalies results in an anomalous flow of moist air from the Gulf of Mexico into the MRB. In the context of paleo-climate reconstructions of the Palmer Drought Severity Index, since about 1900 the MRB has experienced wetter conditions than were experienced during the previous 500 years.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12749","usgsCitation":"McCabe, G.J., and Wolock, D.M., 2019, Hydroclimatology of the Mississippi River Basin: Journal of the American Water Resources Association, v. 55, no. 4, p. 1053-1064, https://doi.org/10.1111/1752-1688.12749.","productDescription":"12 p.","startPage":"1053","endPage":"1064","ipdsId":"IP-101403","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467399,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1752-1688.12749","text":"External Repository"},{"id":405907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.5986328125,\n 48.8936153614802\n ],\n [\n -112.939453125,\n 47.96050238891509\n ],\n [\n -112.67578124999999,\n 47.30903424774781\n ],\n [\n -111.357421875,\n 46.195042108660154\n ],\n [\n -112.3681640625,\n 45.61403741135093\n ],\n [\n -111.357421875,\n 44.715513732021336\n ],\n [\n -109.5556640625,\n 44.809121700077355\n ],\n [\n -109.423828125,\n 44.02442151965934\n ],\n [\n -109.0283203125,\n 43.61221676817573\n ],\n [\n -107.7978515625,\n 42.779275360241904\n ],\n [\n -106.2158203125,\n 41.57436130598913\n ],\n [\n -105.4248046875,\n 40.3130432088809\n ],\n [\n -105.29296874999999,\n 38.89103282648846\n ],\n [\n -105.5126953125,\n 37.82280243352756\n ],\n [\n -105.29296874999999,\n 36.06686213257888\n ],\n [\n -104.80957031249999,\n 34.84987503195418\n ],\n [\n -102.7001953125,\n 34.34343606848294\n ],\n [\n -99.404296875,\n 34.08906131584994\n ],\n [\n -97.1630859375,\n 33.43144133557529\n ],\n [\n -94.7021484375,\n 32.21280106801518\n ],\n [\n -94.04296874999999,\n 29.49698759653577\n ],\n [\n -89.82421875,\n 28.76765910569123\n ],\n [\n -89.6484375,\n 31.015278981711266\n ],\n [\n -90.615234375,\n 32.62087018318113\n ],\n [\n -90.263671875,\n 34.379712580462204\n ],\n [\n -88.06640625,\n 34.92197103616377\n ],\n [\n -84.7705078125,\n 34.994003757575776\n ],\n [\n -82.44140625,\n 36.24427318493909\n ],\n [\n -80.9912109375,\n 37.37015718405753\n ],\n [\n -79.0576171875,\n 38.993572058209466\n ],\n [\n -78.79394531249999,\n 42.84375132629021\n ],\n [\n -82.0458984375,\n 41.57436130598913\n ],\n [\n -84.90234375,\n 40.78054143186033\n ],\n [\n -87.099609375,\n 41.86956082699455\n ],\n [\n -87.890625,\n 42.779275360241904\n ],\n [\n -89.8681640625,\n 43.866218006556394\n ],\n [\n -90.087890625,\n 45.089035564831036\n ],\n [\n -89.82421875,\n 46.34692761055676\n ],\n [\n -90.791015625,\n 47.100044694025215\n ],\n [\n -94.6142578125,\n 47.69497434186282\n ],\n [\n -96.767578125,\n 46.255846818480315\n ],\n [\n -99.6240234375,\n 47.517200697839414\n ],\n [\n -100.37109375,\n 49.009050809382046\n ],\n [\n -113.5986328125,\n 48.8936153614802\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":850265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":219213,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":850266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210074,"text":"70210074 - 2019 - Informing planning and management through visitor experiences in Grand Staircase-Escalante National Monument","interactions":[],"lastModifiedDate":"2020-05-13T14:09:43.427361","indexId":"70210074","displayToPublicDate":"2019-08-01T09:02:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2082,"text":"International Journal of Wilderness","active":true,"publicationSubtype":{"id":10}},"title":"Informing planning and management through visitor experiences in Grand Staircase-Escalante National Monument","docAbstract":"Policies mandate that managers at Grand Staircase-Escalante National Monument must balance recreational opportunities with a variety of resource management and utilization activities across a vast and diverse landscape containing numerous Wilderness Study Areas and other lands containing spectacular resources. This balancing act is stressed by increasing levels of use and recent changes in management direction and policy. An understanding of visitor preferences and current social conditions is an essential component of recreation management; however, scant social science data exist for the Monument. This study used semistructured qualitative interviews to describe Monument visitors’ motivations, experiences, and perceptions to determine existing social conditions. Results can help inform possible indicators of quality that can be used for long-term monitoring and adaptive management of the Monument’s unique wilderness resource.","language":"English","publisher":"WILD Foundation","doi":"","collaboration":"","usgsCitation":"Taff, D., Wimpey, J., Marion, J.L., Arredondo, J., Meadema, F., Schwartz, F., Lawhon, B., and Dems, C., 2019, Informing planning and management through visitor experiences in Grand Staircase-Escalante National Monument: International Journal of Wilderness, v. 2, no. 25, p. 44-56, https://doi.org/.","productDescription":"13 p.","startPage":"44","endPage":"56","ipdsId":"IP-105615","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":374749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":374740,"type":{"id":15,"text":"Index Page"},"url":"https://ijw.org/informing-planning-and-management-through-visitor-experiences/"}],"country":"United States","state":"Utah","otherGeospatial":"Grand Staircase-Escalante National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.56547546386719,\n 37.45959832290546\n ],\n [\n -111.40754699707031,\n 37.45959832290546\n ],\n [\n -111.40754699707031,\n 37.54566616715801\n ],\n [\n -111.56547546386719,\n 37.54566616715801\n ],\n [\n -111.56547546386719,\n 37.45959832290546\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"25","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taff, Derrick","contributorId":207951,"corporation":false,"usgs":false,"family":"Taff","given":"Derrick","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":788990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wimpey, Jeremy","contributorId":189354,"corporation":false,"usgs":false,"family":"Wimpey","given":"Jeremy","affiliations":[],"preferred":false,"id":788991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":788992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arredondo, Johanna","contributorId":192143,"corporation":false,"usgs":false,"family":"Arredondo","given":"Johanna","affiliations":[],"preferred":false,"id":788993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meadema, Fletcher","contributorId":207912,"corporation":false,"usgs":false,"family":"Meadema","given":"Fletcher","affiliations":[{"id":37662,"text":"Virginia Tech Master's student","active":true,"usgs":false}],"preferred":false,"id":788994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwartz, Forrest","contributorId":207953,"corporation":false,"usgs":false,"family":"Schwartz","given":"Forrest","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":788995,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawhon, Ben","contributorId":224658,"corporation":false,"usgs":false,"family":"Lawhon","given":"Ben","affiliations":[{"id":40904,"text":"Graduate Student, Dept. of Ecosystem Sci. & Mgmt., Pennsylvania State Univ., State College, PA","active":true,"usgs":false}],"preferred":false,"id":788996,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dems, Cody","contributorId":224659,"corporation":false,"usgs":false,"family":"Dems","given":"Cody","email":"","affiliations":[{"id":40905,"text":"MS Student, Forest Resources, Pennsylvania State Univ., State College, PA","active":true,"usgs":false}],"preferred":false,"id":788997,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70204523,"text":"70204523 - 2019 - Operationalizing small unoccupied aircraft systems for rapid flood inundation mapping and event response","interactions":[],"lastModifiedDate":"2022-01-12T15:26:06.625645","indexId":"70204523","displayToPublicDate":"2019-08-01T08:51:10","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Operationalizing small unoccupied aircraft systems for rapid flood inundation mapping and event response","docAbstract":"Small Unoccupied Aircraft Systems (sUAS) offer the capability to collect rapid and accurate aerial survey data during flood response. The rapid collection of aerial flood data can potentially enable \nscientists to produce detailed geospatial products and related datasets in time for decisional support. A workflow for sUAS event response before, during, and after flood events is discussed.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, Nevada","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)","usgsCitation":"Engel, F.L., and Hernandez, R., 2019, Operationalizing small unoccupied aircraft systems for rapid flood inundation mapping and event response, in Proceedings of SEDHYD 2019, v. 3, Reno, Nevada, June 24-28, 2019, 5 p.","productDescription":"5 p.","ipdsId":"IP-105186","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":366055,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/#sedhyd-2019-proceedings"},{"id":366061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Engel, Frank L. 0000-0002-4253-2625 fengel@usgs.gov","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":5463,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","email":"fengel@usgs.gov","middleInitial":"L.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hernandez, Rogelio","contributorId":217729,"corporation":false,"usgs":true,"family":"Hernandez","given":"Rogelio","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767388,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204638,"text":"70204638 - 2019 - Intra- and interspecific variation in production of bile acids that act as sex pheromones in lampreys","interactions":[],"lastModifiedDate":"2019-08-09T10:10:51","indexId":"70204638","displayToPublicDate":"2019-08-01T08:49:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3075,"text":"Physiological and Biochemical Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Intra- and interspecific variation in production of bile acids that act as sex pheromones in lampreys","docAbstract":"Pheromones are important sexual signals in most animals, but research into their evolution is largely biased toward insects. Lampreys are a jawless fish with a relatively well-understood pheromone communication system and offer a useful opportunity to study pheromone evolution in a vertebrate. Once sexually mature, male sea lamprey (Petromyzon marinus), and likely other lampreys, produce and release bile acids that act as sex pheromones. Spawning males do not feed and therefore produce bile acids primarily for sexual communication whereas larvae produce the same bile acids but for digestion, offering an opportunity to compare the evolution of bile acids produced for sexual versus nonsexual functions. We profiled eight pheromone-related bile acids in livers from larvae and males and determined the effect of life stage on intra- and interspecific variation in bile acid production. Our results indicate less variation among males than larvae within P. marinus but more variation among species for males than larvae. We postulate that bile acid production in males is shaped by directional or stabilizing selection that reduces variance within P. marinus and directional or disruptive selection that promotes diversification across species. Although our results offer support for a role of sexual selection in the evolution of a lamprey pheromones, they do not eliminate possible roles of other aspects of lamprey ecology.","language":"English","publisher":"University of Chicago Press","doi":"10.1086/705278","usgsCitation":"Buchinger, T.J., Bussy, U., Li, K., Jia, L., Baker, C.F., Buchinger, E.G., Zhen, Z., Johnson, N., and Li, W., 2019, Intra- and interspecific variation in production of bile acids that act as sex pheromones in lampreys: Physiological and Biochemical Zoology, v. 92, no. 5, p. 463-472, https://doi.org/10.1086/705278.","productDescription":"10 p.","startPage":"463","endPage":"472","ipdsId":"IP-107407","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":366364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"5","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buchinger, Tyler John","contributorId":192316,"corporation":false,"usgs":false,"family":"Buchinger","given":"Tyler","email":"","middleInitial":"John","affiliations":[],"preferred":false,"id":767859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bussy, Ugo","contributorId":150993,"corporation":false,"usgs":false,"family":"Bussy","given":"Ugo","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":767860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Ke","contributorId":172267,"corporation":false,"usgs":false,"family":"Li","given":"Ke","email":"","affiliations":[],"preferred":false,"id":767861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jia, Liang","contributorId":177191,"corporation":false,"usgs":false,"family":"Jia","given":"Liang","email":"","affiliations":[],"preferred":false,"id":767862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, Cindy F.","contributorId":177190,"corporation":false,"usgs":false,"family":"Baker","given":"Cindy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":767863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buchinger, Ethan G.","contributorId":196815,"corporation":false,"usgs":false,"family":"Buchinger","given":"Ethan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":767864,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhen, Zhang","contributorId":126792,"corporation":false,"usgs":false,"family":"Zhen","given":"Zhang","email":"","affiliations":[{"id":6616,"text":"Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730060, China","active":true,"usgs":false}],"preferred":false,"id":767865,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":767858,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":767866,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70238061,"text":"70238061 - 2019 - Simulations of hydrology and water quality for irrigated fields near Yakima, Washington","interactions":[],"lastModifiedDate":"2022-11-09T14:53:52.300317","indexId":"70238061","displayToPublicDate":"2019-08-01T08:47:40","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Simulations of hydrology and water quality for irrigated fields near Yakima, Washington","docAbstract":"Reliable tools are needed by farmers and managers to estimate and mitigate impacts of altered hydrology and degraded water quality downstream of agricultural areas. The Water, Energy, and Biogeochemical Model (WEBMOD) (Webb and Parkhurst 2017) was used to simulate daily variations of hydrology and water quality for 5 square kilometers of irrigated fields draining to the DR2 Drain, southeast of Yakima, WA.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Working watersheds and coastal systems: Research and management for a changing future — Proceedings of the Sixth Interagency Conference on Research in the Watersheds","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sixth Interagency Conference on Research in the Watersheds","conferenceDate":"July 23-26, 2018","conferenceLocation":"Shepherdstown, WV","language":"English","publisher":"U.S. Department of Agriculture Forest Service, Southern Research Station","collaboration":"EPA, USFS","usgsCitation":"Webb, R.M., 2019, Simulations of hydrology and water quality for irrigated fields near Yakima, Washington, in Working watersheds and coastal systems: Research and management for a changing future — Proceedings of the Sixth Interagency Conference on Research in the Watersheds, Shepherdstown, WV, July 23-26, 2018, p. 202-205.","productDescription":"4 p.","startPage":"202","endPage":"205","ipdsId":"IP-100453","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":409260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409218,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/59031"}],"country":"United States","state":"Washington","city":"Yakima","otherGeospatial":"Yakima River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.56886577450334,\n 46.633070609190895\n ],\n [\n -120.56886577450334,\n 46.12956834060162\n ],\n [\n -119.41838691883319,\n 46.12956834060162\n ],\n [\n -119.41838691883319,\n 46.633070609190895\n ],\n [\n -120.56886577450334,\n 46.633070609190895\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Webb, Richard M. 0000-0001-9531-2207 rmwebb@usgs.gov","orcid":"https://orcid.org/0000-0001-9531-2207","contributorId":1570,"corporation":false,"usgs":true,"family":"Webb","given":"Richard","email":"rmwebb@usgs.gov","middleInitial":"M.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":856734,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}