{"pageNumber":"91","pageRowStart":"2250","pageSize":"25","recordCount":10450,"records":[{"id":70199202,"text":"70199202 - 2018 - Modelling sound attenuation in heterogeneous environments for improved bioacoustic sampling of wildlife populations","interactions":[],"lastModifiedDate":"2018-09-10T13:56:12","indexId":"70199202","displayToPublicDate":"2018-09-10T13:56:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Modelling sound attenuation in heterogeneous environments for improved bioacoustic sampling of wildlife populations","docAbstract":"
  1. Acoustic sampling methods are becoming increasingly important in biological monitoring. Sound attenuation is one of the most important dynamics affecting the utility of acoustic data as it directly affects the probability of detection of individuals by acoustic sensor arrays and especially the localization of acoustic signals necessary in telemetry studies. Therefore, models of sound attenuation are necessary to make efficient use of acoustic data in ecological monitoring and assessment applications. Models of attenuation in widespread use are based on Euclidean distance between source and sensor, which is justified under spherical attenuation of sound waves in homogeneous environments.
  2. In this paper, I develop a model of sound attenuation based on a non‐Euclidean cost‐weighted distance metric which contains attenuation coefficients that characterize the attenuation of sound due to environmental heterogeneity in the vicinity of an acoustic sensor array.
  3. I show that parameters of the proposed attenuation model can be estimated by maximum likelihood using experimental data from an array of fixed sources, thus allowing investigators who use bioacoustic methods to devise explicit models of sound attenuation in situ and apply them to localization of sources and density estimation. In addition, drawing on analogy with spatial capture–recapture models, I argue that parameters of the non‐Euclidean model of attenuation can be estimated when source locations are unknown. Thus, the models can be applied to real field studies which require estimation of attenuation parameters or localization of signals.
  4. Models of heterogeneous sound attenuation allow more accurate descriptions of acoustic monitoring data, and therefore should produce more accurate estimates of ecological parameters of interest, including source locations, density, and movement trajectories. Moreover, the ability to test specific hypotheses about the effects of habitat and landscape structure on sound attenuation can improve the design of acoustic monitoring arrays and lead to more efficient deployment of acoustic sensing technology.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13040","usgsCitation":"Royle, J.A., 2018, Modelling sound attenuation in heterogeneous environments for improved bioacoustic sampling of wildlife populations: Methods in Ecology and Evolution, v. 9, no. 9, p. 1939-1947, https://doi.org/10.1111/2041-210X.13040.","productDescription":"9 p.","startPage":"1939","endPage":"1947","ipdsId":"IP-093167","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468417,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/239079","text":"External Repository"},{"id":357206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b98a261e4b0702d0e842e48","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":744649,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199206,"text":"70199206 - 2018 - Prioritizing conserved areas threatened by wildfire and fragmentation for monitoring and management","interactions":[],"lastModifiedDate":"2018-09-10T12:35:28","indexId":"70199206","displayToPublicDate":"2018-09-10T12:35:21","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing conserved areas threatened by wildfire and fragmentation for monitoring and management","docAbstract":"

In many parts of the world, the combined effects of habitat fragmentation and altered disturbance regimes pose a significant threat to biodiversity. This is particularly true in Mediterranean-type ecosystems (MTEs), which tend to be fire-prone, species rich, and heavily impacted by human land use. Given the spatial complexity of overlapping threats and species’ vulnerability along with limited conservation budgets, methods are needed for prioritizing areas for monitoring and management in these regions. We developed a multi-criteria Pareto ranking methodology for prioritizing spatial units for conservation and applied it to fire threat, habitat fragmentation threat, species richness, and genetic biodiversity criteria in San Diego County, California, USA. We summarized the criteria and Pareto ranking results (from west to east) within the maritime, coastal, transitional, inland climate zones within San Diego County. Fire threat increased from the maritime zone eastward to the transitional zone, then decreased in the mountainous inland climate zone. Number of fires and fire return interval departure were strongly negatively correlated. Fragmentation threats, particularly road density and development density, were highest in the maritime climate zone, declined towards the east, and were positively correlated. Species richness criteria showed distributions among climate zones similar to those of the fire threat variables. When using species richness and fire threat criteria, most lower-ranked (higher conservation priority) units occurred in the coastal and transitional zones. When considering genetic biodiversity, lower-ranked units occurred more often in the mountainous inland zone. With Pareto ranking, there is no need to select criteria weights as part of the decision-making process. However, negative correlations and larger numbers of criteria can result in more units assigned to the same rank. Pareto ranking is broadly applicable and can be used as a standalone decision analysis method or in conjunction with other methods.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0200203","usgsCitation":"Tracey, J.A., Rochester, C.J., Hathaway, S.A., Preston, K.L., Syphard, A.D., Vandergast, A.G., Diffendorfer, J., Franklin, J., MacKenzie, J.B., Oberbauer, T.A., Tremor, S., Winchell, C.S., and Fisher, R.N., 2018, Prioritizing conserved areas threatened by wildfire and fragmentation for monitoring and management: PLoS ONE, v. 13, no. 9, p. 1-23, https://doi.org/10.1371/journal.pone.0200203.","productDescription":"e0200203; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-095520","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468418,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0200203","text":"Publisher Index Page"},{"id":437759,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95LH274","text":"USGS data release","linkHelpText":"Raster data files for Prioritizing conserved areas threatened by wildfire for monitoring and management."},{"id":437758,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95LH274","text":"USGS data release","linkHelpText":"Raster data files for Prioritizing conserved areas threatened by wildfire for monitoring and management."},{"id":357200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"221\",\"properties\":{\"name\":\"San 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D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":744663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744664,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744665,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Franklin, Janet","contributorId":197972,"corporation":false,"usgs":false,"family":"Franklin","given":"Janet","email":"","affiliations":[],"preferred":false,"id":744666,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"MacKenzie, Jason B.","contributorId":207766,"corporation":false,"usgs":false,"family":"MacKenzie","given":"Jason","email":"","middleInitial":"B.","affiliations":[{"id":37629,"text":"Environment and Planning Directorate, ACT Government, Canberra, Australia","active":true,"usgs":false}],"preferred":false,"id":744667,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Oberbauer, Tomas A.","contributorId":207767,"corporation":false,"usgs":false,"family":"Oberbauer","given":"Tomas","email":"","middleInitial":"A.","affiliations":[{"id":37630,"text":"Department of Planning and Land Use, County of San Diego, California","active":true,"usgs":false}],"preferred":false,"id":744668,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tremor, Scott","contributorId":207768,"corporation":false,"usgs":false,"family":"Tremor","given":"Scott","email":"","affiliations":[{"id":37631,"text":"San Diego Natural History Museum, San Diego, California","active":true,"usgs":false}],"preferred":false,"id":744669,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Winchell, Clark S.","contributorId":207769,"corporation":false,"usgs":false,"family":"Winchell","given":"Clark","email":"","middleInitial":"S.","affiliations":[{"id":37632,"text":"USFWS -- Carlsbad FWO","active":true,"usgs":false}],"preferred":false,"id":744670,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":744658,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70199203,"text":"70199203 - 2018 - Multiphase flow and underpressured shale at the Bruce nuclear site, Ontario, Canada","interactions":[],"lastModifiedDate":"2019-08-15T11:35:08","indexId":"70199203","displayToPublicDate":"2018-09-10T11:59:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Multiphase flow and underpressured shale at the Bruce nuclear site, Ontario, Canada","docAbstract":"

Hydraulic testing has revealed dramatic underpressures in Paleozoic shales and carbonates at the Bruce nuclear site in Ontario. Although evidence from both laboratory and field studies suggests that a small amount of gas-phase methane could be present in the shale, previous studies examining causal linkages between the gas phase and the underpressure have been inconclusive. To better elucidate processes in such a system, we used a highly simplified 1D representation of the site to test, by using iTOUGH2-EOS7C, the effects of various factors on the evolution of gas-phase methane and pressures within the system. Heterogeneity was represented by three stratigraphic regions with slightly different capillary pressure characteristics and, in one case, three thin distinct zones with very different characteristics. Underpressure occurred only when gas pressures set as an initial condition required it, and even in this case it was geologically short-lived. We conclude that the presence of multiple fluid phases is unlikely to explain the underpressure at the site; we suggest that the influence of gas-phase methane on porewater flow is minimal. This is consistent with prior conceptualizations of the underpressured section as a thick aquiclude, in which solute transport occurs extremely slowly, bounded by aquifers of significantly higher permeability.

","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP482.5","usgsCitation":"Plampin, M.R., and Neuzil, C.E., 2018, Multiphase flow and underpressured shale at the Bruce nuclear site, Ontario, Canada: Geological Society, London, Special Publications, v. 482, p. 101-114, https://doi.org/10.1144/SP482.5.","productDescription":"14 p.","startPage":"101","endPage":"114","ipdsId":"IP-092568","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":468421,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/sp482.5","text":"Publisher Index Page"},{"id":437762,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JQ107B","text":"USGS data release","linkHelpText":"iTOUGH2-EOS7C model used to analyze multiphase flow and underpressured shale at the Bruce Nuclear Site, Ontario, Canada"},{"id":357198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","volume":"482","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-07","publicationStatus":"PW","scienceBaseUri":"5b98a263e4b0702d0e842e50","contributors":{"authors":[{"text":"Plampin, Michelle R. 0000-0003-4068-5801 mplampin@usgs.gov","orcid":"https://orcid.org/0000-0003-4068-5801","contributorId":204983,"corporation":false,"usgs":true,"family":"Plampin","given":"Michelle","email":"mplampin@usgs.gov","middleInitial":"R.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":744650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":744651,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198845,"text":"cir1446 - 2018 - U.S. Geological Survey sage-grouse and sagebrush ecosystem research annual report for 2018","interactions":[],"lastModifiedDate":"2018-12-12T09:32:55","indexId":"cir1446","displayToPublicDate":"2018-09-10T11:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1446","displayTitle":"U.S. Geological Survey Sage-Grouse and Sagebrush Ecosystem Research Annual Report for 2018","title":"U.S. Geological Survey sage-grouse and sagebrush ecosystem research annual report for 2018","docAbstract":"

The sagebrush (Artemisia spp.) ecosystem extends across a large portion of the Western United States, and the greater sage-grouse (Centrocercus urophasianus) is one of the iconic species of this ecosystem. Greater sage-grouse populations occur in 11 States and are dependent on relatively large expanses of sagebrush-dominated habitat. Sage-grouse populations have been experiencing long-term declines owing to multiple stressors, including interactions among fire, exotic plant invasions, and human land uses, which have resulted in significant loss, fragmentation, and degradation of landscapes once dominated by sagebrush. In addition to the sage-grouse, over 350 species of plants and animals are dependent on the sagebrush ecosystem.

Increasing knowledge about how these species and the sagebrush ecosystem respond to these stressors and to management actions can inform and improve strategies to maintain existing areas of intact sagebrush and restore degraded landscapes. The U.S. Geological Survey (USGS) has a broad research program focused on providing the science needed to inform these strategies and to help land and resource managers at the Federal, State, Tribal, and local levels as they work towards sustainable sage-grouse populations and restored landscapes for the broad range of uses critical to stakeholders in the Western United States.

USGS science has provided a foundation for major land and resource management decisions including those that precluded the need to list the greater sage-grouse under the Endangered Species Act. The USGS is continuing to build on that foundation to inform science-based decisions to help support local economies and the continued conservation, management, and restoration of the sagebrush ecosystem.

This report contains descriptions of USGS sage-grouse and sagebrush ecosystem research projects that are ongoing or were active during 2018 and is organized into five thematic areas: Fire, Invasive Species, Restoration, Sagebrush, Sage-Grouse, and Other Sagebrush-Associated Species; and Climate and Weather.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1446","isbn":"978-1-4113-4526-9","usgsCitation":"Hanser, S.E., ed., 2018, U.S. Geological Survey sage-grouse and sagebrush ecosystem research annual report for 2018: U.S. Geological Survey Circular 1446, 67 p., https://doi.org/10.3133/cir1446.","productDescription":"iv, 67 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-098865","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":356725,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1446/coverthb.jpg"},{"id":356726,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1446/cir1446.pdf","text":"Report","size":"15.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIRC 1446"}],"contact":"

Sage-Grouse and Sagebrush Ecosystem Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Mail Stop 301
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-09-10","noUsgsAuthors":false,"publicationDate":"2018-09-10","publicationStatus":"PW","scienceBaseUri":"5b98a263e4b0702d0e842e54","contributors":{"editors":[{"text":"Hanser, Steven E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":127554,"corporation":false,"usgs":true,"family":"Hanser","given":"Steven","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":743826,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}} ,{"id":70199157,"text":"70199157 - 2018 - Habitat overlap between Asiatic black bear Ursus thibetanus and red panda Ailurus fulgens in Himalaya","interactions":[],"lastModifiedDate":"2020-12-08T18:00:06.705624","indexId":"70199157","displayToPublicDate":"2018-09-06T13:58:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Habitat overlap between Asiatic black bear Ursus thibetanus and red panda Ailurus fulgens in Himalaya","title":"Habitat overlap between Asiatic black bear Ursus thibetanus and red panda Ailurus fulgens in Himalaya","docAbstract":"

Studying habitat overlap between sympatric species is one of the best ways to identify interspecies relationships and to direct conservation efforts so that multiple species can benefit. However, studies exploring interspecies relationships are very limited in Nepal, making it difficult for the government of Nepal and conservation partners to manage wildlife in their habitats, especially in Himalayan protected areas. In this study, we identified habitat overlap between Asiatic black bear (Ursus thibetanus) and red panda (Ailurus fulgens) as well as important habitat types for both species in the Makalu Barun National Park, Nepal using Maximum Entropy (MaxEnt) modeling. GPS points of species occurrence were collected from the field, and environmental variables were extracted from freely available sources. We found that the study area contained 647 km2 of Asiatic black bear habitat and 443 km2 of the red panda habitat. 368 km2 supported both species, which constituted 57% of the Asiatic black bear habitat and 83% of the red panda habitat. We found that conifer forest was the most important habitat type for both species. Because the largest portions of both species’ habitat were located inside the buffer zone, a peripheral zone of national park, conservation efforts for these sympatric species should be focused inside the buffer zone to be most effective.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0203697","usgsCitation":"Bista, M., Panthi, S., and Weiskopf, S.R., 2018, Habitat overlap between Asiatic black bear Ursus thibetanus and red panda Ailurus fulgens in Himalaya: PLoS ONE, v. 13, no. 9, e0203697; 12 p., https://doi.org/10.1371/journal.pone.0203697.","productDescription":"e0203697; 12 p.","ipdsId":"IP-098076","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":468433,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0203697","text":"Publisher Index Page"},{"id":357120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 86.66015624999999,\n 27.408347455871425\n ],\n [\n 87.42095947265625,\n 27.408347455871425\n ],\n [\n 87.42095947265625,\n 27.982274659104082\n ],\n [\n 86.66015624999999,\n 27.982274659104082\n ],\n [\n 86.66015624999999,\n 27.408347455871425\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-06","publicationStatus":"PW","scienceBaseUri":"5b98a267e4b0702d0e842e6e","contributors":{"authors":[{"text":"Bista, Manjit","contributorId":207700,"corporation":false,"usgs":false,"family":"Bista","given":"Manjit","email":"","affiliations":[{"id":37609,"text":"Ministry of Forests and Environment, Department of National Parks and Wildlife Conservation, Babarmahal, Kathmandu, Nepal","active":true,"usgs":false}],"preferred":false,"id":744460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panthi, Saroj","contributorId":207701,"corporation":false,"usgs":false,"family":"Panthi","given":"Saroj","email":"","affiliations":[{"id":37610,"text":"Ministry of Forests and Environment, Department of Forests, Babarmahal, Kathmandu, Nepal","active":true,"usgs":false}],"preferred":false,"id":744461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":744459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199147,"text":"70199147 - 2018 - Experimental infection of Tadarida brasiliensis with Pseudogymnoascus destructans, the fungus that causes white-nose syndrome","interactions":[],"lastModifiedDate":"2023-06-29T16:53:02.854016","indexId":"70199147","displayToPublicDate":"2018-09-06T13:29:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5160,"text":"mSphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Experimental infection of Tadarida brasiliensis with Pseudogymnoascus destructans, the fungus that causes white-nose syndrome","title":"Experimental infection of Tadarida brasiliensis with Pseudogymnoascus destructans, the fungus that causes white-nose syndrome","docAbstract":"

White-nose syndrome (WNS) is causing significant declines in populations of North American hibernating bats, and recent western and southern expansions of the disease have placed additional species at risk. Understanding differences in species susceptibility and identifying management actions to reduce mortality of bats from WNS are top research priorities. However, the use of wild-caught susceptible bats, such as Myotis lucifugus, as model species for WNS research is problematic and places additional pressure on remnant populations. We investigated the feasibility of using Tadarida brasiliensis, a highly abundant species of bat that tolerates captivity, as the basis for an experimental animal model for WNS. Using methods previously established to confirm the etiology of WNS in M. lucifugus, we experimentally infected 11 T. brasiliensis bats with Pseudogymnoascus destructans in the laboratory under conditions that induced hibernation. We detected P. destructans on all 11 experimentally infected bats, 7 of which exhibited localized proliferation of hyphae within the epidermis, dermis, and subcutaneous tissue, similar to invasive cutaneous ascomycosis observed in M. lucifugusbats with WNS. However, the distribution of lesions across wing membranes of T. brasiliensisbats was limited, and only one discrete “cupping erosion,” diagnostic for WNS, was identified. Thus, the rarity of lesions definitive for WNS suggests that T. brasiliensis does not likely represent an appropriate model for studying the pathophysiology of this disease. Nonetheless, the results of this study prompt questions concerning the potential for free-ranging, migratory T. brasiliensis bats to become infected with P. destructans and move the fungal pathogen between roost sites used by species susceptible to WNS.

","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/mSphere.00250-18","usgsCitation":"Verant, M., Meteyer, C.U., Stading, B., and Blehert, D.S., 2018, Experimental infection of Tadarida brasiliensis with Pseudogymnoascus destructans, the fungus that causes white-nose syndrome: mSphere, v. 3, no. 4, e00250-18; 10 p.; Data Release, https://doi.org/10.1128/mSphere.00250-18.","productDescription":"e00250-18; 10 p.; Data Release","ipdsId":"IP-097559","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":468434,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/msphere.00250-18","text":"Publisher Index Page"},{"id":357102,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418633,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93WAKH3","linkFileType":{"id":5,"text":"html"}}],"volume":"3","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a267e4b0702d0e842e70","contributors":{"authors":[{"text":"Verant, Michelle 0000-0001-6994-6257","orcid":"https://orcid.org/0000-0001-6994-6257","contributorId":204269,"corporation":false,"usgs":false,"family":"Verant","given":"Michelle","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":744324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meteyer, Carol U. 0000-0002-4007-3410 cmeteyer@usgs.gov","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":127748,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","email":"cmeteyer@usgs.gov","middleInitial":"U.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":744325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stading, Benjamin","contributorId":207602,"corporation":false,"usgs":false,"family":"Stading","given":"Benjamin","affiliations":[{"id":37569,"text":"University of Wisconsin-Madison, School of Veterinary Medicine, Department of Pathobiological Sciences, 2015 Linden Dr., Madison, Wisconsin 53706","active":true,"usgs":false}],"preferred":false,"id":744326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":744323,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217632,"text":"70217632 - 2018 - The 2015 landslide and tsunami in Taan Fiord, Alaska","interactions":[],"lastModifiedDate":"2023-11-09T17:21:13.228908","indexId":"70217632","displayToPublicDate":"2018-09-06T07:25:31","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"The 2015 landslide and tsunami in Taan Fiord, Alaska","docAbstract":"

Glacial retreat in recent decades has exposed unstable slopes and allowed deep water to extend beneath some of those slopes. Slope failure at the terminus of Tyndall Glacier on 17 October 2015 sent 180 million tons of rock into Taan Fiord, Alaska. The resulting tsunami reached elevations as high as 193 m, one of the highest tsunami runups ever documented worldwide. Precursory deformation began decades before failure, and the event left a distinct sedimentary record, showing that geologic evidence can help understand past occurrences of similar events, and might provide forewarning. The event was detected within hours through automated seismological techniques, which also estimated the mass and direction of the slide - all of which were later confirmed by remote sensing. Our field observations provide a benchmark for modeling landslide and tsunami hazards. Inverse and forward modeling can provide the framework of a detailed understanding of the geologic and hazards implications of similar events. Our results call attention to an indirect effect of climate change that is increasing the frequency and magnitude of natural hazards near glaciated mountains.

","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41598-018-30475-w","usgsCitation":"Higman, B., Shugar, D., Stark, C.P., Ekstrom, G., Koppes, M.N., Lynett, P., Dufresne, A., Haeussler, P., Geertsema, M., Gulick, S., Mattox, A., Venditti, J., Walton, M.A., McCall, N., Mckittrick, E., MacInnes, B., Bilderback, E.L., Tang, H., Willis, M., Richmond, B., Reece, B., Larsen, C.F., Olson, B., Capra, J., Ayca, A., Bloom, C.K., Williams, H., Bonno, D., Weiss, R., Keen, A., Skanavis, V., and Loso, M., 2018, The 2015 landslide and tsunami in Taan Fiord, Alaska: Scientific Reports, v. 8, 12993, 12 p., https://doi.org/10.1038/s41598-018-30475-w.","productDescription":"12993, 12 p.","ipdsId":"IP-086124","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":468435,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-30475-w","text":"Publisher Index 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Wrangell-St. Elias National Park & Preserve","active":true,"usgs":false}],"preferred":false,"id":809026,"contributorType":{"id":1,"text":"Authors"},"rank":32}]}} ,{"id":70229440,"text":"70229440 - 2018 - Ice-sheet modulation of deglacial North American monsoon intensification","interactions":[],"lastModifiedDate":"2022-03-08T12:35:10.818298","indexId":"70229440","displayToPublicDate":"2018-09-03T06:32:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Ice-sheet modulation of deglacial North American monsoon intensification","docAbstract":"

The North American monsoon, the dominant source of rainfall for much of the arid US Southwest, remains one of the least understood monsoon systems. The late Pleistocene evolution of this monsoon is poorly constrained, largely because glacial changes in winter rainfall obscure summer monsoon signatures in many regional proxy records. Here, we develop deglacial records of monsoon strength from isotopic analyses of leaf wax biomarkers in marine sediment cores. Reconstructions indicate a regional decrease in monsoon rainfall during the Last Glacial Maximum, and that the deglacial trajectory of the North American monsoon closely tracks changes in North American ice cover. In climate model simulations, North American ice cover shifts the westerlies southwards, favouring the mixing of cold, dry air into the US Southwest. This process, known as ventilation, weakens the monsoon by diluting the energy fluxes required for convection. As the ice sheet retreats northwards, the monsoon strengthens, and local ocean conditions may play a larger role in regulating its intensity. We conclude that on glacial–interglacial timescales, ice-sheet-induced reorganizations of atmospheric circulation have a dominant influence on the North American monsoon.

","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41561-018-0220-7","usgsCitation":"Bhattacharya, T., Tierney, J.E., Addison, J.A., and Murray, J.W., 2018, Ice-sheet modulation of deglacial North American monsoon intensification: Nature Geoscience, v. 11, p. 848-852, https://doi.org/10.1038/s41561-018-0220-7.","productDescription":"5 p.","startPage":"848","endPage":"852","ipdsId":"IP-096612","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":396843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.84960937499999,\n 21.53484700204879\n ],\n [\n -102.83203125,\n 21.53484700204879\n ],\n [\n -102.83203125,\n 35.24561909420681\n ],\n [\n -120.84960937499999,\n 35.24561909420681\n ],\n [\n -120.84960937499999,\n 21.53484700204879\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2018-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Bhattacharya, Tripti","contributorId":288113,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Tripti","email":"","affiliations":[{"id":27763,"text":"Univ. of Arizona","active":true,"usgs":false}],"preferred":false,"id":837442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tierney, Jessica E.","contributorId":177527,"corporation":false,"usgs":false,"family":"Tierney","given":"Jessica","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":837443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":837444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murray, James W.","contributorId":288115,"corporation":false,"usgs":false,"family":"Murray","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":47813,"text":"Univ. of Washington","active":true,"usgs":false}],"preferred":false,"id":837445,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199072,"text":"70199072 - 2018 - Evidence that climate sets the lower elevation range limit in a high‐elevation endemic salamander","interactions":[],"lastModifiedDate":"2018-09-01T20:04:57","indexId":"70199072","displayToPublicDate":"2018-09-01T20:04:51","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evidence that climate sets the lower elevation range limit in a high‐elevation endemic salamander","docAbstract":"

A frequent assumption in ecology is that biotic interactions are more important than abiotic factors in determining lower elevational range limits (i.e., the “warm edge” of a species distribution). However, for species with narrow environmental tolerances, theory suggests the presence of a strong environmental gradient can lead to persistence, even in the presence of competition. The relative importance of biotic and abiotic factors is rarely considered together, although understanding when one exerts a dominant influence on controlling range limits may be crucial to predicting extinction risk under future climate conditions. We sampled multiple transects spanning the elevational range limit of Plethodon shenandoah and site and climate covariates were recorded. A two‐species conditional occupancy model, accommodating heterogeneity in detection probability, was used to relate variation in occupancy with environmental and habitat conditions. Regional climate data were combined with datalogger observations to estimate the cloud base heights and to project future climate change impacts on cloud elevations across the survey area. By simultaneously accounting for species’ interactions and habitat variables, we find that elevation, not competition, is strongly correlated with the lower elevation range boundary, which had been presumed to be restricted mainly as a result of competitive interactions with a congener. Because the lower elevational range limit is sensitive to climate variables, projected climate change across its high‐elevation habitats will directly affect the species’ distribution. Testing assumptions of factors that set species range limits should use models which accommodate detection biases.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4198","usgsCitation":"Campbell Grant, E.H., Brand, A.B., De Wekker, S.F., Lee, T.R., and Wofford, J.E., 2018, Evidence that climate sets the lower elevation range limit in a high‐elevation endemic salamander: Ecology and Evolution, v. 8, no. 15, p. 7553-7562, https://doi.org/10.1002/ece3.4198.","productDescription":"10 p.","startPage":"7553","endPage":"7562","ipdsId":"IP-074867","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4198","text":"Publisher Index Page"},{"id":357012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","volume":"8","issue":"15","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-06","publicationStatus":"PW","scienceBaseUri":"5b98a26be4b0702d0e842e94","contributors":{"authors":[{"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":743931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":743932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Wekker, Stephan F. J.","contributorId":90958,"corporation":false,"usgs":false,"family":"De Wekker","given":"Stephan","email":"","middleInitial":"F. J.","affiliations":[{"id":27696,"text":"Univ. of Virginia","active":true,"usgs":false}],"preferred":false,"id":743933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Temple R.","contributorId":207484,"corporation":false,"usgs":false,"family":"Lee","given":"Temple","email":"","middleInitial":"R.","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":743934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wofford, John E. B.","contributorId":38951,"corporation":false,"usgs":false,"family":"Wofford","given":"John","email":"","middleInitial":"E. B.","affiliations":[],"preferred":false,"id":743935,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200926,"text":"70200926 - 2018 - Assessing historical and projected carbon balance of Alaska: A synthesis of results and policy/management implications","interactions":[],"lastModifiedDate":"2022-04-22T16:42:09.340638","indexId":"70200926","displayToPublicDate":"2018-09-01T12:03:50","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Assessing historical and projected carbon balance of Alaska: A synthesis of results and policy/management implications","docAbstract":"

We summarize the results of a recent interagency assessment of land carbon dynamics in Alaska, in which carbon dynamics were estimated for all major terrestrial and aquatic ecosystems for the historical period (1950–2009) and a projection period (2010–2099). Between 1950 and 2009, upland and wetland (i.e., terrestrial) ecosystems of the state gained 0.4 Tg C/yr (0.1% of net primary production, NPP), resulting in a cumulative greenhouse gas radiative forcing of 1.68 × 10−3 W/m2. The change in carbon storage is spatially variable with the region of the Northwest Boreal Landscape Conservation Cooperative (LCC) losing carbon because of fire disturbance. The combined carbon transport via various pathways through inland aquatic ecosystems of Alaska was estimated to be 41.3 Tg C/yr (17% of terrestrial NPP). During the projection period (2010–2099), carbon storage of terrestrial ecosystems of Alaska was projected to increase (22.5–70.0 Tg C/yr), primarily because of NPP increases of 10–30% associated with responses to rising atmospheric CO2, increased nitrogen cycling, and longer growing seasons. Although carbon emissions to the atmosphere from wildfire and wetland CH4 were projected to increase for all of the climate projections, the increases in NPP more than compensated for those losses at the statewide level. Carbon dynamics of terrestrial ecosystems continue to warm the climate for four of the six future projections and cool the climate for only one of the projections. The attribution analyses we conducted indicated that the response of NPP in terrestrial ecosystems to rising atmospheric CO2(~5% per 100 ppmv CO2) saturates as CO2 increases (between approximately +150 and +450 ppmv among projections). This response, along with the expectation that permafrost thaw would be much greater and release large quantities of permafrost carbon after 2100, suggests that projected carbon gains in terrestrial ecosystems of Alaska may not be sustained. From a national perspective, inclusion of all of Alaska in greenhouse gas inventory reports would ensure better accounting of the overall greenhouse gas balance of the nation and provide a foundation for considering mitigation activities in areas that are accessible enough to support substantive deployment.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1768","usgsCitation":"McGuire, A.D., Genet, H., Lyu, Z., Pastick, N.J., Stackpoole, S.M., Birdsey, R., D'Amore, D., He, Y., Rupp, T., Striegl, R.G., Wylie, B.K., Zhou, X., Zhuang, Q., and Zhu, Z., 2018, Assessing historical and projected carbon balance of Alaska: A synthesis of results and policy/management implications: Ecological Applications, v. 28, no. 6, p. 1396-1412, https://doi.org/10.1002/eap.1768.","productDescription":"17 p.","startPage":"1396","endPage":"1412","ipdsId":"IP-094418","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":359458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Unconventional natural gas drilling and the use of hydraulic fracturing technology have expanded rapidly in North America. This expansion has raised concerns of surface water contamination by way of spills and leaks, which may be sporadic, small, and therefore difficult to detect. Here we explore the use of otolith microchemistry as a tool for monitoring surface water contamination from generated waters (GW) of unconventional natural gas drilling. We exposed Brook Trout in the laboratory to three volumetric concentrations of surrogate generated water (SGW) representing GW on day five of drilling. Transects across otolith cross-sections were analyzed for a suite of elements by LA-ICP-MS. Brook Trout exposed to a 0.01–1.0% concentration of SGW for 2, 15, and 30 days showed a significant (p < 0.05) relationship of increasing Sr and Ba concentrations in all but one treatment. Analyses indicate lesser concentrations than used in this experiment could be detectable in surface waters and provide support for the use of this technique in natural habitats. To our knowledge, this is the first demonstration of how trace elements in fish otoliths may be used to monitor for surface water contamination from GW.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.04.026","usgsCitation":"Keller, D.H., Zelanko, P.M., Gagnon, J.E., Horwitz, R.J., Galbraith, H.S., and Velinsky, D.J., 2018, Linking otolith microchemistry and surface water contamination from natural gas mining: Environmental Pollution, v. 240, p. 457-465, https://doi.org/10.1016/j.envpol.2018.04.026.","productDescription":"9 p.","startPage":"457","endPage":"465","ipdsId":"IP-090478","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468455,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2018.04.026","text":"Publisher Index Page"},{"id":359637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"240","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf67cf4e4b045bfcae2cffa","contributors":{"authors":[{"text":"Keller, David H.","contributorId":210767,"corporation":false,"usgs":false,"family":"Keller","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":38143,"text":"The Academy of Natural Sciences of Drexel University","active":true,"usgs":false}],"preferred":false,"id":751901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zelanko, Paula M.","contributorId":210768,"corporation":false,"usgs":false,"family":"Zelanko","given":"Paula","email":"","middleInitial":"M.","affiliations":[{"id":38143,"text":"The Academy of Natural Sciences of Drexel University","active":true,"usgs":false}],"preferred":false,"id":751902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gagnon, Joel E.","contributorId":210769,"corporation":false,"usgs":false,"family":"Gagnon","given":"Joel","email":"","middleInitial":"E.","affiliations":[{"id":38144,"text":"Great Lakes Institute for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":751903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horwitz, Richard J.","contributorId":210770,"corporation":false,"usgs":false,"family":"Horwitz","given":"Richard","email":"","middleInitial":"J.","affiliations":[{"id":38145,"text":"Department of Biodiversity, Earth, and Environmental Sciences, Drexel University","active":true,"usgs":false}],"preferred":false,"id":751904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":751900,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Velinsky, David J.","contributorId":210771,"corporation":false,"usgs":false,"family":"Velinsky","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":38145,"text":"Department of Biodiversity, Earth, and Environmental Sciences, Drexel University","active":true,"usgs":false}],"preferred":false,"id":751905,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216181,"text":"70216181 - 2018 - Hybridization and genetic structure of Neosho Smallmouth Bass in the Ozark Highlands","interactions":[],"lastModifiedDate":"2020-11-09T16:49:12.493138","indexId":"70216181","displayToPublicDate":"2018-09-01T10:45:13","publicationYear":"2018","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":"Hybridization and genetic structure of Neosho Smallmouth Bass in the Ozark Highlands","docAbstract":"

The Neosho Smallmouth Bass Micropterus dolomieu velox is endemic to Arkansas River tributaries originating in the Ozark Highlands and Boston Mountains. Although morphologically and genetically distinct from other populations of Smallmouth Bass M. dolomieu, the conservation‐genetic status of Neosho Smallmouth Bass is largely unknown. To assist in filling this data gap, we quantified introgressive hybridization, genetic diversity, and population structure of Neosho Smallmouth Bass in two major river basins (Grand River and Illinois River) using seven polymorphic microsatellite markers. Introgressive hybridization with stocked Tennessee lake‐strain Smallmouth Bass was most prevalent in the Illinois River, wherein the overall genomic proportion of Neosho Smallmouth Bass alleles was only 0.422. After accounting for hybrid individuals, genetic diversity of Neosho Smallmouth Bass was generally higher in larger rivers and lower in smaller, isolated streams. Three distinct population clusters were identified at the uppermost level of genetic structure—one from the Illinois River basin and two from the Grand River basin. These three population boundaries accounted for approximately 7% of the hierarchical genetic variation within our data set, and substructure below the uppermost level accounted for an additional 2% of genetic variation. The population structure we discovered can provide a blueprint for management that conserves diversity within and among populations; for example, population boundaries can be used to determine brood source locations for supplemental stocking efforts to counter nonnative introgression. Introgressive hybridization with nonnative Smallmouth Bass appears to be the most pertinent threat to the Neosho Smallmouth Bass subspecies, which is of conservation value to the overall adaptability of Smallmouth Bass as a species.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10225","usgsCitation":"Taylor, A., Long, J.M., Schwemm, M.R., and Brewer, S.K., 2018, Hybridization and genetic structure of Neosho Smallmouth Bass in the Ozark Highlands: North American Journal of Fisheries Management, v. 38, no. 6, p. 1226-1240, https://doi.org/10.1002/nafm.10225.","productDescription":"15 p.","startPage":"1226","endPage":"1240","ipdsId":"IP-095421","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":380302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri, Oklahoma","otherGeospatial":"Ozark Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.5758056640625,\n 36.52067329034796\n ],\n [\n -94.2352294921875,\n 36.53612263184686\n ],\n [\n -94.2132568359375,\n 36.83127162140714\n ],\n [\n -94.21051025390625,\n 36.97183825093165\n ],\n [\n -95.15808105468749,\n 36.958671131530316\n ],\n [\n -95.26519775390625,\n 36.25313319699069\n ],\n [\n -95.3558349609375,\n 36.17113976708937\n ],\n [\n -94.66094970703125,\n 36.184441834883\n ],\n [\n -94.7076416015625,\n 36.485348924361425\n ],\n [\n -94.5758056640625,\n 36.52067329034796\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"6","noUsgsAuthors":false,"publicationDate":"2018-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, A. T.","contributorId":244688,"corporation":false,"usgs":false,"family":"Taylor","given":"A. T.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":804384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":804385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwemm, M. R.","contributorId":244689,"corporation":false,"usgs":false,"family":"Schwemm","given":"M.","email":"","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":804386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":804387,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70199083,"text":"70199083 - 2018 - The risk of rodent introductions from shipwrecks to seabirds on Aleutian and Bering Sea islands","interactions":[],"lastModifiedDate":"2018-08-31T10:02:20","indexId":"70199083","displayToPublicDate":"2018-08-31T09:59:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"The risk of rodent introductions from shipwrecks to seabirds on Aleutian and Bering Sea islands","docAbstract":"

Accidental introductions of rodents present one of the greatest threats to indigenous island biota, especially seabirds. On uninhabited remote islands, such introductions are likely to come from shipwrecks. Here we use a comprehensive database of shipwrecks in Western Alaska to model the frequency of shipwrecks per Aleutian and Bering Sea island, taken as a proxy for the threat of rodent introductions, using physical variables, and the intensity of nearby fishing traffic and activity as predictors. Using data spanning from 1950 to 2013, we found that shipwrecks were particularly common in the 1980s to early 2000s, with a major peak in wrecks during the late 1980s. Amount of fishing activity within 5 km of an island was the strongest predictor of shipwrecks, followed by the strength of tidal currents and density of large-vessel traffic. Islands with the highest frequency of shipwrecks are all in the eastern Aleutians, including Unimak, Unalaska, and Akun Islands. By contrast, the largest seabird colonies are in the western Aleutian and Pribilof Islands, including Buldir, Kiska, and Saint George islands. Multiplying the frequency of a shipwreck by the number of seabirds breeding per island provides a measure of risk. The risk of rodent introductions from shipwrecks to seabirds was then greatest for Saint George (Bering Sea), Buldir (Western Aleutians) and Saint Matthew islands (Bering Sea). Keeping these high-risk islands rodent free would maintain their high a conservation value. Most islands with a high predicted frequency of shipwrecks already have established rodent populations and therefore few remaining seabirds. Of those islands with established rodent populations, Attu and Kiska Islands would make suitable targets for eradication, given their relatively low expected frequency of shipwrecks for their size. Further improvements in rat prevention on vessels and shipping safety would benefit the economy, human health and safety, and to the long-term conservation of island ecosystems.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-018-1726-z","usgsCitation":"Renner, M., Nelson, E., Watson, J., Haynie, A., Poe, A., Robards, M.D., and Hess, S.C., 2018, The risk of rodent introductions from shipwrecks to seabirds on Aleutian and Bering Sea islands: Biological Invasions, v. 20, no. 9, p. 2679-2690, https://doi.org/10.1007/s10530-018-1726-z.","productDescription":"12 p.","startPage":"2679","endPage":"2690","ipdsId":"IP-090330","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":356983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands, Bering Sea Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -188.08593749999997,\n 50.62507306341435\n ],\n [\n -153.369140625,\n 50.62507306341435\n ],\n [\n -153.369140625,\n 60.80206374467983\n ],\n [\n -188.08593749999997,\n 60.80206374467983\n ],\n [\n -188.08593749999997,\n 50.62507306341435\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-12","publicationStatus":"PW","scienceBaseUri":"5b98a26ce4b0702d0e842ea2","contributors":{"authors":[{"text":"Renner, Martin","contributorId":198248,"corporation":false,"usgs":false,"family":"Renner","given":"Martin","email":"","affiliations":[],"preferred":false,"id":743980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Eric","contributorId":140476,"corporation":false,"usgs":false,"family":"Nelson","given":"Eric","affiliations":[{"id":13511,"text":"Cornell Univesity","active":true,"usgs":false}],"preferred":false,"id":743981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watson, Jordan","contributorId":198249,"corporation":false,"usgs":false,"family":"Watson","given":"Jordan","affiliations":[],"preferred":false,"id":743982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haynie, Alan","contributorId":198250,"corporation":false,"usgs":false,"family":"Haynie","given":"Alan","email":"","affiliations":[],"preferred":false,"id":743983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poe, Aaron","contributorId":198251,"corporation":false,"usgs":false,"family":"Poe","given":"Aaron","affiliations":[],"preferred":false,"id":743984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robards, Martin D.","contributorId":40148,"corporation":false,"usgs":false,"family":"Robards","given":"Martin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":743985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hess, Steve C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":743979,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199062,"text":"70199062 - 2018 - Ancient convergent losses of Paraoxonase 1 yield potential risks for modern marine mammals","interactions":[],"lastModifiedDate":"2018-08-30T10:53:58","indexId":"70199062","displayToPublicDate":"2018-08-30T10:53:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Ancient convergent losses of Paraoxonase 1 yield potential risks for modern marine mammals","title":"Ancient convergent losses of Paraoxonase 1 yield potential risks for modern marine mammals","docAbstract":"

Mammals diversified by colonizing drastically different environments, with each transition yielding numerous molecular changes, including losses of protein function. Though not initially deleterious, these losses could subsequently carry deleterious pleiotropic consequences. We have used phylogenetic methods to identify convergent functional losses across independent marine mammal lineages. In one extreme case, Paraoxonase 1 (PON1) accrued lesions in all marine lineages, while remaining intact in all terrestrial mammals. These lesions coincide with PON1 enzymatic activity loss in marine species’ blood plasma. This convergent loss is likely explained by parallel shifts in marine ancestors’ lipid metabolism and/or bloodstream oxidative environment affecting PON1’s role in fatty acid oxidation. PON1 loss also eliminates marine mammals’ main defense against neurotoxicity from specific man-made organophosphorus compounds, implying potential risks in modern environments.

","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.aap7714","usgsCitation":"Meyer, W.K., Jamison, J., Richter, R., Woods, S.E., Partha, R., Kowalczyk, A., Kronk, C., Chikina, M., Bonde, R.K., Crocker, D., Gaspard, J.C., Lanyon, J.M., Marsillach, J., Furlong, C.E., and Clark, N.L., 2018, Ancient convergent losses of Paraoxonase 1 yield potential risks for modern marine mammals: Science, v. 361, no. 6402, p. 591-594, https://doi.org/10.1126/science.aap7714.","productDescription":"4 p.","startPage":"591","endPage":"594","ipdsId":"IP-088478","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":460859,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6317340","text":"Publisher Index Page"},{"id":356951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"361","issue":"6402","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a26ee4b0702d0e842eb0","contributors":{"authors":[{"text":"Meyer, Wynn K.","contributorId":207462,"corporation":false,"usgs":false,"family":"Meyer","given":"Wynn","email":"","middleInitial":"K.","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":743873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jamison, Jerrica","contributorId":207463,"corporation":false,"usgs":false,"family":"Jamison","given":"Jerrica","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":743874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richter, Rebecca","contributorId":207464,"corporation":false,"usgs":false,"family":"Richter","given":"Rebecca","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":743875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woods, Stacy E.","contributorId":207465,"corporation":false,"usgs":false,"family":"Woods","given":"Stacy","email":"","middleInitial":"E.","affiliations":[{"id":37540,"text":"John Hopkins University","active":true,"usgs":false}],"preferred":false,"id":743876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Partha, Raghavendran","contributorId":207467,"corporation":false,"usgs":false,"family":"Partha","given":"Raghavendran","email":"","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":743878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kowalczyk, Amanda","contributorId":207471,"corporation":false,"usgs":false,"family":"Kowalczyk","given":"Amanda","email":"","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":743884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kronk, Charles","contributorId":207466,"corporation":false,"usgs":false,"family":"Kronk","given":"Charles","email":"","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":743877,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chikina, Maria","contributorId":207468,"corporation":false,"usgs":false,"family":"Chikina","given":"Maria","email":"","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":743879,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":743872,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crocker, Daniel E.","contributorId":202543,"corporation":false,"usgs":false,"family":"Crocker","given":"Daniel E.","affiliations":[{"id":36475,"text":"Sonoma State University","active":true,"usgs":false}],"preferred":false,"id":743885,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gaspard, Joseph C.","contributorId":177194,"corporation":false,"usgs":false,"family":"Gaspard","given":"Joseph","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":743880,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lanyon, Janet M.","contributorId":204224,"corporation":false,"usgs":false,"family":"Lanyon","given":"Janet","email":"","middleInitial":"M.","affiliations":[{"id":13335,"text":"The University of Queensland","active":true,"usgs":false}],"preferred":false,"id":743881,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Marsillach, Judit","contributorId":207472,"corporation":false,"usgs":false,"family":"Marsillach","given":"Judit","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":743886,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Furlong, Clement E.","contributorId":207469,"corporation":false,"usgs":false,"family":"Furlong","given":"Clement","email":"","middleInitial":"E.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":743882,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Clark, Nathan L.","contributorId":207470,"corporation":false,"usgs":false,"family":"Clark","given":"Nathan","email":"","middleInitial":"L.","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":743883,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70199060,"text":"70199060 - 2018 - Contaminants of emerging concern in urban stormwater: Spatiotemporal patterns and removal by iron-enhanced sand filters (IESFs)","interactions":[],"lastModifiedDate":"2018-08-30T10:42:22","indexId":"70199060","displayToPublicDate":"2018-08-30T10:42:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Contaminants of emerging concern in urban stormwater: Spatiotemporal patterns and removal by iron-enhanced sand filters (IESFs)","docAbstract":"

Numerous contaminants of emerging concern (CECs) typically occur in urban rivers. Wastewater effluents are a major source of many CECs. Urban runoff (stormwater) is a major urban water budget component and may constitute another major CEC pathway. Yet, stormwater-based CEC field studies are rare. This research investigated 384 CECs in 36 stormwater samples in Minneapolis-St. Paul, Minnesota, USA. Nine sampling sites included three large stormwater conveyances (pipes) and three paired iron-enhanced sand filters (IESFs; untreated inlets and treated outlets). The 123 detected compounds included commercial-consumer compounds, veterinary and human pharmaceuticals, lifestyle and personal care compounds, pesticides, and others. Thirty-one CECs were detected in ≥50% of samples. Individual samples contained a median of 35 targeted CECs (range: 18–54). Overall, median concentrations were ≥10 ng/L for 25 CECs and ≥100 ng/L for 9 CECs. Ranked, hierarchical linear modeling indicated significant seasonal- and site type-based concentration variability for 53 and 30 CECs, respectively, with observed patterns corresponding to CEC type, source, usage, and seasonal hydrology. A primarily warm-weather, diffuse, runoff-based profile included many herbicides. A second profile encompassed winter and/or late summer samples enriched with some recalcitrant, hydrophobic compounds (e.g., PAHs), especially at pipes, suggesting conservative, less runoff-dependent sources (e.g., sediments). A third profile, indicative of mixed conservative/non-runoff, runoff, and/or atmospheric sources and transport that collectively affect a variety of conditions, included various fungicides, lifestyle, non-prescription, and commercial-consumer CECs. Generally, pipe sites had large, diverse land-use catchments, and showed more frequent detections of diverse CECs, but often at lower concentrations; while untreated sites (with smaller, more residential-catchments) demonstrated greater detections of “pseudo-persistent” and other ubiquitous or residentially-associated CECs. Although untreated stormwater transports an array of CECs to receiving waters, IESF treatment significantly removed concentrations of 14 (29%) of the 48 most detected CECs; for these, median removal efficiencies were 26%–100%. Efficient removal of some hydrophobic (e.g., PAHs, bisphenol A) and polar-hydrophilic (e.g., caffeine, nicotine) compounds indicated particulate-bound contaminant filtration and for certain dissolved contaminants, sorption.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2018.08.020","usgsCitation":"Fairbairn, D.J., Elliott, S.M., Kiesling, R.L., Schoenfuss, H.L., Ferrey, M.L., and Westerhoff, B., 2018, Contaminants of emerging concern in urban stormwater: Spatiotemporal patterns and removal by iron-enhanced sand filters (IESFs): Water Research, v. 145, p. 332-345, https://doi.org/10.1016/j.watres.2018.08.020.","productDescription":"14 p.","startPage":"332","endPage":"345","ipdsId":"IP-094557","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":356946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Minneapolis, St. Paul","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.44696044921875,\n 44.859275967357476\n ],\n [\n -92.95944213867186,\n 44.859275967357476\n ],\n [\n -92.95944213867186,\n 45.08661163034925\n ],\n [\n -93.44696044921875,\n 45.08661163034925\n ],\n [\n -93.44696044921875,\n 44.859275967357476\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"145","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a26ee4b0702d0e842eb4","contributors":{"authors":[{"text":"Fairbairn, David J.","contributorId":207455,"corporation":false,"usgs":false,"family":"Fairbairn","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":743862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":743864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferrey, Mark L.","contributorId":207457,"corporation":false,"usgs":false,"family":"Ferrey","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":743865,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Westerhoff, Benjamin J.","contributorId":207458,"corporation":false,"usgs":false,"family":"Westerhoff","given":"Benjamin J.","affiliations":[{"id":20306,"text":"St. Cloud State University","active":true,"usgs":false}],"preferred":false,"id":743866,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70200889,"text":"70200889 - 2018 - Using United States Geological Survey stream gages to predict flow and temperature conditions to maintain freshwater mussel habitat","interactions":[],"lastModifiedDate":"2018-11-14T15:22:08","indexId":"70200889","displayToPublicDate":"2018-08-29T15:23:25","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Using United States Geological Survey stream gages to predict flow and temperature conditions to maintain freshwater mussel habitat","docAbstract":"

Habitat conditions necessary to support freshwater mussels can be difficult to characterize and predict, particularly for rare or endangered species such as the federally endangered dwarf wedgemussel, Alasmidonta heterodon. In this study, we evaluate flow and temperature conditions in three areas of the mainstem Delaware River known to consistently support A. heterodon, and we develop predictive models using the U.S. Geological Survey (USGS) stream gages and thermal stations in order to identify conditions under which habitat alteration could threaten the species. Flow and temperature prediction models based on nearby existing USGS gage and thermal stations were predictive for all three sites. Both discharge prediction and water depth profile models indicate one location (Site 3) was the most vulnerable to low‐flow conditions as it requires the highest discharge rate (26.3 cms) at the USGS Callicoon gage to maintain both the full wetted perimeter (Pfull) and minimal wetted perimeter (Pmin) and prevent occlusion of areas that contain A. heterodon. Flow management targets aimed at protecting Site 3 should also protect Sites 1 and 2. Although analyses indicated significant benthic habitat available in all three sites even under low discharge rates, specific mussel locations could be vulnerable to dewatering and thermal stress if only Pmin values were maintained. Results indicate the magnitude of site temperature deviations from thermal stations varied by site and river temperature. In general, our results suggest that existing temperature and stream gage infrastructure may be used predictively to evaluate the effects of different flow targets on mainstem Delaware River A. heterodon habitat.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.3326","usgsCitation":"Cole, J.C., Townsend, P.A., Eshleman, K.N., St. John White, B., Galbraith, H.S., and Lellis, W.A., 2018, Using United States Geological Survey stream gages to predict flow and temperature conditions to maintain freshwater mussel habitat: River Research and Applications, v. 34, no. 8, p. 977-992, https://doi.org/10.1002/rra.3326.","productDescription":"15 p.","startPage":"977","endPage":"992","ipdsId":"IP-086457","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":437774,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WS8S6V","text":"USGS data release","linkHelpText":"Site bathymetry, water temperature and rating curve 2004 and 2005 data for 3 sites in the Delaware River mainstem"},{"id":359432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.5255126953125,\n 41.3500103516271\n ],\n [\n -74.5477294921875,\n 41.3500103516271\n ],\n [\n -74.5477294921875,\n 42.429538632268276\n ],\n [\n -75.5255126953125,\n 42.429538632268276\n ],\n [\n -75.5255126953125,\n 41.3500103516271\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","scienceBaseUri":"5bed4274e4b0b3fc5cf91c8e","contributors":{"authors":[{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":751069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Townsend, Phillip A. 0000-0001-7003-8774","orcid":"https://orcid.org/0000-0001-7003-8774","contributorId":210594,"corporation":false,"usgs":false,"family":"Townsend","given":"Phillip","email":"","middleInitial":"A.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":751070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eshleman, Keith N.","contributorId":210596,"corporation":false,"usgs":false,"family":"Eshleman","given":"Keith","email":"","middleInitial":"N.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":751071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"St. John White, Barbara 0000-0001-8131-0534 bwhite@usgs.gov","orcid":"https://orcid.org/0000-0001-8131-0534","contributorId":141183,"corporation":false,"usgs":false,"family":"St. John White","given":"Barbara","email":"bwhite@usgs.gov","affiliations":[],"preferred":false,"id":751072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galbraith, Heather S. 0000-0003-3704-3517","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":204518,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":751073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":751074,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199033,"text":"70199033 - 2018 - Influences of the invasive tamarisk leaf beetle (Diorhabda carinulata) on avian diets along the Dolores River in Southwestern Colorado USA","interactions":[],"lastModifiedDate":"2018-11-14T09:29:12","indexId":"70199033","displayToPublicDate":"2018-08-29T15:15:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influences of the invasive tamarisk leaf beetle (Diorhabda carinulata) on avian diets along the Dolores River in Southwestern Colorado USA","title":"Influences of the invasive tamarisk leaf beetle (Diorhabda carinulata) on avian diets along the Dolores River in Southwestern Colorado USA","docAbstract":"

The tamarisk leaf beetle (Diorhabda carinulata), introduced from Eurasia in 2001 as a biological control agent for the invasive plant Tamarix ramosissima, has spread widely throughout the western USA. With D. carinulata now very abundant, scientists and restoration managers have questioned what influence this introduced arthropod might have upon the avian component of riparian ecosystems. From 2009 through 2012 we studied the consequences of biological invasions of the introduced tamarisk shrub and tamarisk leaf beetles on the diets of native birds along the Dolores River in southwestern Colorado, USA. We examined avian foraging behavior, sampled the arthropod community, documented bird diets and the use of invasive tamarisk shrubs and tamarisk leaf beetles by birds. We documented D. carinulataabundance, on what plants the beetles occurred, and to what degree they were consumed by birds as compared to other arthropods. We hypothesized that if D. carinulata is an important new avian food source, birds should consume beetles at least in proportion to their abundance. We also hypothesized that birds should forage more in tamarisk in the late summer when tamarisk leaf beetle larvae are more abundant than in early summer, and that birds should select beetle-damaged tamarisk shrubs. We found that D. carinulata composed 24.0 percent (± 19.9–27.4%) and 35.4% biomass of all collected arthropods. From the gut contents of 188 birds (25 passerine species), only four species (n = 11 birds) contained tamarisk leaf beetle parts. Although D. carinulata comprised one-quarter of total insect abundance, frequency of occurrence in bird gut contents was only 2.1% by abundance and 3.4% biomass. Birds used tamarisk shrubs for foraging in proportion to their availability, but foraging frequency did not increase during the late summer when more tamarisk leaf beetles were present and birds avoided beetle-damaged tamarisk shrubs. Despite D. carinulata being the most abundant arthropod in the environment, these invasive beetles were not frequently consumed by birds and seem not to provide a significant contribution to avian diets.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-018-1764-6","usgsCitation":"van Riper, C., Puckett, S.L., and Darrah, A.J., 2018, Influences of the invasive tamarisk leaf beetle (Diorhabda carinulata) on avian diets along the Dolores River in Southwestern Colorado USA: Biological Invasions, v. 20, no. 11, p. 3145-3159, https://doi.org/10.1007/s10530-018-1764-6.","productDescription":"15 p.","startPage":"3145","endPage":"3159","ipdsId":"IP-068939","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":356926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Dolores River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.017333984375,\n 38.016722066763116\n ],\n [\n -108.81271362304688,\n 38.016722066763116\n ],\n [\n -108.81271362304688,\n 38.34165619279595\n ],\n [\n -109.017333984375,\n 38.34165619279595\n ],\n [\n -109.017333984375,\n 38.016722066763116\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-05","publicationStatus":"PW","scienceBaseUri":"5b98a270e4b0702d0e842ec4","contributors":{"authors":[{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":743827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puckett, Sarah L.","contributorId":207425,"corporation":false,"usgs":false,"family":"Puckett","given":"Sarah","email":"","middleInitial":"L.","affiliations":[{"id":36671,"text":"School of Natural Resources and the Environment, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":743828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darrah, Abigail J.","contributorId":207426,"corporation":false,"usgs":false,"family":"Darrah","given":"Abigail","email":"","middleInitial":"J.","affiliations":[{"id":37538,"text":"Audubon Mississippi, 5009 Main Street, Moss Point, MS 39563","active":true,"usgs":false}],"preferred":false,"id":743829,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198931,"text":"70198931 - 2018 - Beyond traditional ecological restoration on the Colorado Plateau","interactions":[],"lastModifiedDate":"2018-11-14T09:31:04","indexId":"70198931","displayToPublicDate":"2018-08-27T14:38:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Beyond traditional ecological restoration on the Colorado Plateau","docAbstract":"

The Colorado Plateau is one of North America's five major deserts, encompassing 340,000 km2 of the western U.S., and offering many opportunities for restoration relevant to researchers and land managers in drylands around the globe. The Colorado Plateau is comprised of vast tracts of public land managed by local, state, and federal agencies that oversee a wide range of activities (e.g., mineral and energy extraction, livestock grazing, and recreation). About 75% of the Plateau is managed by federal and tribal agencies and tens of millions of people visit the Plateau's public lands each year. However, even in the face of this diverse use, our knowledge of effective ways to restore Plateau ecosystems remains relatively poor. Further, the multiple agencies on the Plateau have mandates that differ greatly in allowable practices, restoration needs, and desired outcomes. The Colorado Plateau is also expected to undergo ecosystem shifts in the face of climate change, further complicating management decisions and potentially limiting some options while creating others. Here we explore the current state of Colorado Plateau restoration science and underscore key challenges and opportunities for improving our capacity to maintain the myriad of services provided by these desert ecosystems. We highlight past research efforts and future needs related to restoration concepts, including consideration and design of novel ecosystems, mitigation for and adaptation to climate change, use of genetically diverse seed adapted for current and future conditions, and the value of strong multi‐agency and stakeholder collaborations in restoring systems on the Colorado Plateau and beyond.

","language":"English","publisher":"Wiley","doi":"10.1111/rec.12876","usgsCitation":"Winkler, D.E., Backer, D.M., Belnap, J., Bradford, J.B., Butterfield, B.J., Copeland, S.M., Duniway, M.C., Faist, A.M., Fick, S., Jensen, S.L., Kramer, A.T., Mann, R., Massatti, R., McCormick, M.L., Munson, S.M., Olwell, P., Parr, S.D., Pfennigwerth, A., Pilmanis, A.M., Richardson, B., Samuel, E., See, K., Young, K.E., and Reed, S.C., 2018, Beyond traditional ecological restoration on the Colorado Plateau: Restoration Ecology, v. 26, no. 6, p. 1055-1060, https://doi.org/10.1111/rec.12876.","productDescription":"6 p.","startPage":"1055","endPage":"1060","ipdsId":"IP-098102","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468476,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12876","text":"Publisher Index Page"},{"id":356803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau","volume":"26","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-14","publicationStatus":"PW","scienceBaseUri":"5b98a273e4b0702d0e842eec","contributors":{"authors":[{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Backer, Dana M.","contributorId":207326,"corporation":false,"usgs":false,"family":"Backer","given":"Dana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743581,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":743582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Copeland, Stella M. 0000-0001-6707-4803 scopeland@usgs.gov","orcid":"https://orcid.org/0000-0001-6707-4803","contributorId":169538,"corporation":false,"usgs":true,"family":"Copeland","given":"Stella","email":"scopeland@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743583,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743584,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Faist, Akasha M.","contributorId":193038,"corporation":false,"usgs":false,"family":"Faist","given":"Akasha","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743585,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fick, Stephen E.","contributorId":172490,"corporation":false,"usgs":false,"family":"Fick","given":"Stephen E.","affiliations":[{"id":27054,"text":"Department of Plant Sciences, University of California, Davis, CA, 95616 USA. 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2018 - Tools and methods in participatory modeling: Selecting the right tool for the job","interactions":[],"lastModifiedDate":"2021-05-11T12:01:45.324007","indexId":"70220399","displayToPublicDate":"2018-08-27T06:57:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7599,"text":"Environmental Modeling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Tools and methods in participatory modeling: Selecting the right tool for the job","docAbstract":"

Various tools and methods are used in participatory modelling, at different stages of the process and for different purposes. The diversity of tools and methods can create challenges for stakeholders and modelers when selecting the ones most appropriate for their projects. We offer a systematic overview, assessment, and categorization of methods to assist modelers and stakeholders with their choices and decisions. Most available literature provides little justification or information on the reasons for the use of particular methods or tools in a given study. In most of the cases, it seems that the prior experience and skills of the modelers had a dominant effect on the selection of the methods used. While we have not found any real evidence of this approach being wrong, we do think that putting more thought into the method selection process and choosing the most appropriate method for the project can produce better results. Based on expert opinion and a survey of modelers engaged in participatory processes, we offer practical guidelines to improve decisions about method selection at different stages of the participatory modeling process.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2018.08.028","usgsCitation":"Voinov, A., Jenni, K., Gray, S., Kolagani, N., Glynn, P.D., Bommel, P., Prell, C., Zellner, M., Paolisso, M., Jordan, R., Sterling, E.J., Schmitt Olabasi, L., Giabbanelli, P.J., Sun, Z., Le Page, C., Elsawah, S., BenDor, T.K., Hubacek, K., Laursen, B.K., Jetter, A.J., Basco Carrera, L., Singer, A., Young, L.G., Brunacini, J., and Smajgl, A., 2018, Tools and methods in participatory modeling: Selecting the right tool for the job: Environmental Modeling and Software, v. 109, p. 232-255, https://doi.org/10.1016/j.envsoft.2018.08.028.","productDescription":"24 p.","startPage":"232","endPage":"255","ipdsId":"IP-096643","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":468481,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2018.08.028","text":"Publisher Index Page"},{"id":385561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Voinov, Alexey","contributorId":191330,"corporation":false,"usgs":false,"family":"Voinov","given":"Alexey","affiliations":[],"preferred":false,"id":815400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenni, Karen 0000-0001-9927-7509","orcid":"https://orcid.org/0000-0001-9927-7509","contributorId":219401,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":815401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Steven","contributorId":201912,"corporation":false,"usgs":false,"family":"Gray","given":"Steven","email":"","affiliations":[{"id":36290,"text":"Michigan State University, Department of Community Sustainability, Natural Resource Building 480 Wilson Road Room 151, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":815402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolagani, Nagesh","contributorId":191331,"corporation":false,"usgs":false,"family":"Kolagani","given":"Nagesh","email":"","affiliations":[],"preferred":false,"id":815403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":815404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bommel, Pierre","contributorId":201916,"corporation":false,"usgs":false,"family":"Bommel","given":"Pierre","email":"","affiliations":[{"id":36294,"text":"CIRAD, Green Research Unit, Montpellier, France & University of Costa Rica, San José, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":815405,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prell, Christina","contributorId":201921,"corporation":false,"usgs":false,"family":"Prell","given":"Christina","email":"","affiliations":[{"id":36299,"text":"University of Maryland, Department of Sociology, 2112 Parren Mitchell Art-Sociology Building, 3834 Campus Drive, College Park, MD 20742","active":true,"usgs":false}],"preferred":false,"id":815406,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zellner, Moira","contributorId":201924,"corporation":false,"usgs":false,"family":"Zellner","given":"Moira","affiliations":[{"id":36300,"text":"University of Illinois at Chicago, Department of Urban Planning & Policy and Institute for Environmental Science and Policy. 412 S. 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Department of Community Sustainability, Natural Resource Building 480 Wilson Road Room 151, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":815422,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Young, Laura G.","contributorId":194873,"corporation":false,"usgs":false,"family":"Young","given":"Laura","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":815423,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Brunacini, Jessica","contributorId":257969,"corporation":false,"usgs":false,"family":"Brunacini","given":"Jessica","email":"","affiliations":[{"id":52190,"text":"Department of Community Sustainability, Michigan State University, East Lansing, MI 48824 USA","active":true,"usgs":false}],"preferred":false,"id":815424,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Smajgl, Alex","contributorId":257968,"corporation":false,"usgs":false,"family":"Smajgl","given":"Alex","email":"","affiliations":[],"preferred":false,"id":815430,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}} ,{"id":70199772,"text":"70199772 - 2018 - Forecasting effects of angler harvest and climate change on smallmouth bass abundance at the southern edge of their range","interactions":[],"lastModifiedDate":"2018-09-28T12:27:04","indexId":"70199772","displayToPublicDate":"2018-08-20T14:55:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting effects of angler harvest and climate change on smallmouth bass abundance at the southern edge of their range","docAbstract":"

Climate change will affect stream systems in numerous ways over the coming century. Globally, streams are expected to experience changes in temperature and flow regime. Previous work has indicated that these changes will likely affect fish distributions, but little work has been conducted examining population level effects of climate change on warmwater fish at the warmest portion of their range. We model several potential climate change-related stressors and the resulting effects on smallmouth bass Micropterus dolomieu populations in the Buffalo National River, Arkansas, USA, located near the southern extent of smallmouth bass range. Smallmouth bass are a popular recreational fish in the region and angler harvest likely contributes substantially to annual mortality. We created a simulation model parameterized with data collected from the Buffalo National River to evaluate the relative importance of climate stressors and angler harvest on smallmouth bass populations. Our simulations suggest that increases in springtime temperature and reductions in river discharge during the spawning period could increase recruitment, resulting in increases in adult abundance (8% higher). However, when increased flooding and drought probabilities are considered, our model indicates the Buffalo National River could experience large reductions in adult smallmouth bass abundance (≥50% decline) and increased probability of extinction compared to present levels. Simulations showed that harvest reduction could be a viable strategy to reduce the negative effects of climate change, but that even with complete closure of harvest, smallmouth bass population levels would still be well below present abundance (46% lower than present). Efforts to reduce flooding and drought effects related to climate change in the Buffalo National River could help offset the predicted reduction in the smallmouth bass population.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0202737","usgsCitation":"Middaugh, C.R., and Magoulick, D.D., 2018, Forecasting effects of angler harvest and climate change on smallmouth bass abundance at the southern edge of their range: PLoS ONE, v. 13, no. 8, p. 1-18, https://doi.org/10.1371/journal.pone.0202737.","productDescription":"e0202737; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-090536","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0202737","text":"Publisher Index Page"},{"id":357857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Buffalo National River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93,\n 35.75\n ],\n [\n -92.33,\n 35.75\n ],\n [\n -92.33,\n 36.33\n ],\n [\n -93,\n 36.33\n ],\n [\n -93,\n 35.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-20","publicationStatus":"PW","scienceBaseUri":"5bc02fb3e4b0fc368eb5395c","contributors":{"authors":[{"text":"Middaugh, Christopher R.","contributorId":177019,"corporation":false,"usgs":false,"family":"Middaugh","given":"Christopher","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":746547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":746546,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200615,"text":"70200615 - 2018 - Habitat type and structure affect trap capture success of an invasive snake across variable densities","interactions":[],"lastModifiedDate":"2018-10-25T12:19:41","indexId":"70200615","displayToPublicDate":"2018-08-20T12:19:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Habitat type and structure affect trap capture success of an invasive snake across variable densities","docAbstract":"

Detection represents an important limitation of accurately estimating population size, abundance, and habitat suitability for wildlife, which can be especially true for cryptic animals. Moreover, for reptiles, juveniles are often less likely to be detected than later life stages. In the case of invasive species, preventing false negatives early in the invasion process can be critical for improving outcomes of control measures. We evaluated habitat structure in relation to catch per unit effort (CPUE) and mean size of trapped invasive brown treesnakes (Boiga irregularis) on Guam. We used a 5‐ha enclosure containing a known, closed population of brown treesnakes to identify key habitat variables that related to CPUE and mean size of trapped snakes over six years. We then tested the relationship of those variables to CPUE and mean size of trapped snakes at three sites with suppressed snake populations as a proxy for low‐density populations anticipated to occur during early detection of invasive populations. We found that a coarse measure of habitat structure represented by three forest types correlated with trap detections, as well as finer measures of habitat structure, such as distance to nearest branch and the type of trap support structure used. On average, smaller snakes were captured in traps placed higher in the tree canopy. Some, but not all, habitat variables identified as predictive of CPUE and mean size within the enclosed population pre‐suppression were also predictive at the snake‐suppressed (low‐density proxy) sites. Habitat structure around the sampling unit (a trap) affected detection probability and the size of detected individuals independently of the demographic structure of the population. Measuring wildlife‐habitat relationships of invaders in their novel environments may be one method to improve early detection during invasive species management.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2339","usgsCitation":"Nafus, M.G., Yackel Adams, A.A., Klug, P.E., and Rodda, G.H., 2018, Habitat type and structure affect trap capture success of an invasive snake across variable densities: Ecosphere, v. 9, no. 8, p. 1-14, https://doi.org/10.1002/ecs2.2339.","productDescription":"e02339; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-092718","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468488,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2339","text":"Publisher Index Page"},{"id":437780,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93OMPVO","text":"USGS data release","linkHelpText":"Habitat characterization around standard brown treesnake traps on Guam, 2004 - 2017"},{"id":358816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-20","publicationStatus":"PW","scienceBaseUri":"5c10a953e4b034bf6a7e514d","contributors":{"authors":[{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":749740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":749741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klug, Page E.","contributorId":210065,"corporation":false,"usgs":false,"family":"Klug","given":"Page","email":"","middleInitial":"E.","affiliations":[{"id":38064,"text":"USDA WS NWRC","active":true,"usgs":false}],"preferred":false,"id":749742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodda, Gordon H. 0000-0002-6696-7308 roddag@usgs.gov","orcid":"https://orcid.org/0000-0002-6696-7308","contributorId":210066,"corporation":false,"usgs":true,"family":"Rodda","given":"Gordon","email":"roddag@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":749743,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227745,"text":"70227745 - 2018 - Multiple metrics provide context for the distribution of a highly mobile fish predator, the blue catfish","interactions":[],"lastModifiedDate":"2022-01-28T16:01:04.819336","indexId":"70227745","displayToPublicDate":"2018-08-20T09:46:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Multiple metrics provide context for the distribution of a highly mobile fish predator, the blue catfish","docAbstract":"

Data sets with increased spatial and temporal resolution can help researchers and resource managers quantify representative distributional patterns of mobile sportfish. In this research, first, we illustrate patterns of sportfish distribution using individual (percent of population, residence time, number of movements) and combined distributional metrics. Second, we apply these metrics to one highly mobile fish species, the blue catfish (Ictalurus furcatus), across a range of spatial (whole reservoir, region, site) and temporal (year, month, diel period) scales. Specifically, we tracked 123 acoustically tagged blue catfish with a 20-receiver array in Milford Reservoir, KS, USA. When we integrated metrics, four site-specific distributional patterns emerged: (a) a large, active multi-site fish aggregation, (b) localised site fidelity, (c) transitional sites and (d) rarely used locations. These patterns would not have been detected using a single metric as each measurement revealed a different piece of the distribution story. For example, if we had only quantified percent of population, we could identify fish location, but not whether individual fish spent time at a location or were just passing through. Our examination of multiple scales also provided a novel context for interpreting site-specific patterns. As an illustration of this insight, using conventional approaches, we would have observed heterogeneity, but we would not have detected fish aggregations, in which individual fish either remained or repeatedly returned to a site. In summary, our results show the advantage of setting the entire ecosystem as the study boundary to integrate multiple responses using a spatially and temporally extensive data set.

","language":"English","publisher":"Wiley-Blackwell","doi":"10.1111/eff.12438","usgsCitation":"Gerber, K.M., Mather, M.E., Smith, J., and Peterson, Z.J., 2018, Multiple metrics provide context for the distribution of a highly mobile fish predator, the blue catfish: Ecology of Freshwater Fish, v. 28, no. 1, p. 141-155, https://doi.org/10.1111/eff.12438.","productDescription":"15 p.","startPage":"141","endPage":"155","ipdsId":"IP-090557","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488963,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12438","text":"Publisher Index Page"},{"id":395065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Milford Reservoir, Republican River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":271271,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph M.","affiliations":[{"id":53980,"text":"NMFS","active":true,"usgs":false}],"preferred":false,"id":832014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Zachary J.","contributorId":264349,"corporation":false,"usgs":false,"family":"Peterson","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":54442,"text":"Kansas Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":832015,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228034,"text":"70228034 - 2018 - Spatial and temporal variability of myxozoan parasite, Myxobolus inornatus, prevalence in young of the year smallmouth bass in the Susquehanna River Basin, Pennsylvania","interactions":[],"lastModifiedDate":"2022-02-03T16:29:04.426671","indexId":"70228034","displayToPublicDate":"2018-08-17T10:24:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatial and temporal variability of myxozoan parasite, Myxobolus inornatus, prevalence in young of the year smallmouth bass in the Susquehanna River Basin, Pennsylvania","title":"Spatial and temporal variability of myxozoan parasite, Myxobolus inornatus, prevalence in young of the year smallmouth bass in the Susquehanna River Basin, Pennsylvania","docAbstract":"

A myxozoan parasite, Myxobolus inornatus, is one disease agent identified in young of the year (YOY) smallmouth bass in the Susquehanna River Basin, Pennsylvania. We investigated spatial and temporal variability in M. Inornatus prevalence across the Susquehanna River Basin and at several out-of-basin sites. We examined potential land use drivers of M. Inornatus prevalence including agricultural and developed land use. In 1,267 YOY smallmouth bass collected from 32 sites during 2013–2016, M. Inornatus was documented in 43.6% of samples. Among-site variability in parasite prevalence was greater than among-year variability. The effect of agricultural land use on M. Inornatus prevalence had a high probability of being positively correlated at multiple spatial scales (probability of positive effect > 0.80). The effect of developed land use on M. Inornatus prevalence had a relatively high probability of being negatively correlated at multiple spatial scales (probability of negative effect > 0.70). Our results suggest that land use practices could be related to M. Inornatus infection of smallmouth bass. Further study will be necessary to determine whether disease dynamics are a consequence of effects on the host, alterations of instream habitat mediating invertebrate host dynamics and/or survival and dispersal of the parasite infective stage.

","language":"English","publisher":"Wiley","doi":"10.1111/jfd.12878","usgsCitation":"Schall, M.K., Blazer, V., Walsh, H., Smith, G.D., Wertz, T., and Wagner, T., 2018, Spatial and temporal variability of myxozoan parasite, Myxobolus inornatus, prevalence in young of the year smallmouth bass in the Susquehanna River Basin, Pennsylvania: Journal of Fish Diseases, v. 41, no. 11, p. 1689-1700, https://doi.org/10.1111/jfd.12878.","productDescription":"12 p.","startPage":"1689","endPage":"1700","ipdsId":"IP-096825","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Susquehanna River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.2393798828125,\n 39.73676229957947\n ],\n [\n -74.7894287109375,\n 39.73676229957947\n ],\n [\n -74.7894287109375,\n 41.88592102814744\n ],\n [\n -77.2393798828125,\n 41.88592102814744\n ],\n [\n -77.2393798828125,\n 39.73676229957947\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"11","noUsgsAuthors":false,"publicationDate":"2018-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Schall, Megan K.","contributorId":274359,"corporation":false,"usgs":false,"family":"Schall","given":"Megan","email":"","middleInitial":"K.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":832935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":832937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Heather L.","contributorId":274360,"corporation":false,"usgs":false,"family":"Walsh","given":"Heather L.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":832938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Geoffrey D.","contributorId":274361,"corporation":false,"usgs":false,"family":"Smith","given":"Geoffrey","email":"","middleInitial":"D.","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":832939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wertz, Timothy","contributorId":274363,"corporation":false,"usgs":false,"family":"Wertz","given":"Timothy","affiliations":[{"id":56607,"text":"Pennsylvania Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":832940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832936,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198684,"text":"70198684 - 2018 - Insight into infectious hematopoietic necrosis virus (IHNV) in Chinese rainbow trout aquaculture from virus isolated from 7 provinces in 2010–2014","interactions":[],"lastModifiedDate":"2018-08-15T14:30:44","indexId":"70198684","displayToPublicDate":"2018-08-15T14:30:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":853,"text":"Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Insight into infectious hematopoietic necrosis virus (IHNV) in Chinese rainbow trout aquaculture from virus isolated from 7 provinces in 2010–2014","docAbstract":"

The aquatic rhabdovirus infectious hematopoietic necrosis virus (IHNV) currently causes substantial fish losses in Chinese coldwater aquaculture. While IHNV was first reported in China in 1985 and has since undergone considerable spread, little is known about the underlying epidemiological patterns like introduction sources and transmission routes. In this study, we examined epidemiological and phylogenetic data for 50 IHNV isolates from 7 provinces in China detected in 2010–2014 (Liaoning, n = 33; Jilin, n = 3; Heilongjiang, n = 1; Yunnan, n = 2; Sichuan, n = 1; Hebei, n = 5; Gansu, n = 5). Features of case details include highest mortality associated with water temperatures of 8–10 °C and symptomatic disease observed in adult rainbow trout. Sequence comparisons of the midG sequences of 50 strains revealed 11 different sequence types. One sequence type, mG801J, was predominantly detected, being found in 38 of 50 isolates. Phylogenetic analyses of the new midG sequence types showed that 49 of 50 IHNV isolates are closely related to one another and all descend from the previously described J Nagano subgroup, forming the monophyletic group J Nagano-China clade. This indicates that the majority of IHNV circulating within China is descended from a single importation event from elsewhere in Asia. The one observed exception was the detection of a novel genotype belonging to the previously described MN subgroup. This genotype was identified in Liaoning province, and indicates a second introduction event, one that does not appear to have resulted in diversification and spread. These results indicate that continued surveillance of IHNV in China is necessary to understand and manage viral transmission dynamics within China over time.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquaculture.2018.06.062","usgsCitation":"Jia, P., Breyta, R.B., Li, Q., Qian, X., Wu, B., Zheng, W., Wen, Z., Liu, Y., Kurath, G., Hua, Q., Jin, N., and Liu, H., 2018, Insight into infectious hematopoietic necrosis virus (IHNV) in Chinese rainbow trout aquaculture from virus isolated from 7 provinces in 2010–2014: Aquaculture, v. 496, p. 239-246, https://doi.org/10.1016/j.aquaculture.2018.06.062.","productDescription":"8 p.","startPage":"239","endPage":"246","ipdsId":"IP-091650","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":356525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","volume":"496","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a285e4b0702d0e842f2b","contributors":{"authors":[{"text":"Jia, Peng","contributorId":191750,"corporation":false,"usgs":false,"family":"Jia","given":"Peng","email":"","affiliations":[],"preferred":false,"id":742557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breyta, Rachel B.","contributorId":207060,"corporation":false,"usgs":false,"family":"Breyta","given":"Rachel","email":"","middleInitial":"B.","affiliations":[{"id":37446,"text":"Microbiology, Oregon State University, Corvallis, OR","active":true,"usgs":false}],"preferred":false,"id":742558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Qing","contributorId":207088,"corporation":false,"usgs":false,"family":"Li","given":"Qing","affiliations":[],"preferred":false,"id":742559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qian, Xu","contributorId":207061,"corporation":false,"usgs":false,"family":"Qian","given":"Xu","email":"","affiliations":[{"id":37447,"text":"Yuzhong Animal Husbandry and Fishery Technology Promotion Center, Gan Su, Peopl's Republic of China, 730100","active":true,"usgs":false}],"preferred":false,"id":742560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Bing","contributorId":207062,"corporation":false,"usgs":false,"family":"Wu","given":"Bing","email":"","affiliations":[{"id":37448,"text":"Liaoning Entry-exit Inspection and Quarantine Bureau, Da Lian, People's Republic of China, 116001","active":true,"usgs":false}],"preferred":false,"id":742561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Wei","contributorId":207063,"corporation":false,"usgs":false,"family":"Zheng","given":"Wei","email":"","affiliations":[{"id":37449,"text":"Jilin Academy of Fishery Science, Jilin, People's Republic of China, 130033","active":true,"usgs":false}],"preferred":false,"id":742562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wen, Zhiqing","contributorId":207064,"corporation":false,"usgs":false,"family":"Wen","given":"Zhiqing","email":"","affiliations":[{"id":37450,"text":"Schenzhen Academy of Inspection and Quarantine Sciences, Schenzhen, People's Republic of China, 518045","active":true,"usgs":false}],"preferred":false,"id":742563,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liu, Ying","contributorId":207065,"corporation":false,"usgs":false,"family":"Liu","given":"Ying","email":"","affiliations":[{"id":37450,"text":"Schenzhen Academy of Inspection and Quarantine Sciences, Schenzhen, People's Republic of China, 518045","active":true,"usgs":false}],"preferred":false,"id":742564,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":742556,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hua, Qunyi","contributorId":191759,"corporation":false,"usgs":false,"family":"Hua","given":"Qunyi","email":"","affiliations":[],"preferred":false,"id":742565,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jin, Ningyi","contributorId":191762,"corporation":false,"usgs":false,"family":"Jin","given":"Ningyi","email":"","affiliations":[],"preferred":false,"id":742566,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Liu, Hong","contributorId":191763,"corporation":false,"usgs":false,"family":"Liu","given":"Hong","email":"","affiliations":[],"preferred":false,"id":742567,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70198683,"text":"70198683 - 2018 - Responses of hatchery‐ and natural‐origin adult spring Chinook Salmon to a trap‐and‐haul reintroduction program","interactions":[],"lastModifiedDate":"2018-11-14T09:35:33","indexId":"70198683","displayToPublicDate":"2018-08-15T14:26:22","publicationYear":"2018","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":"Responses of hatchery‐ and natural‐origin adult spring Chinook Salmon to a trap‐and‐haul reintroduction program","docAbstract":"

The construction of impassable dams severely affected many Pacific salmon Oncorhynchus spp. populations, resulting in reintroduction efforts that are now focused on returning anadromous fish to areas located upstream of these dams. A primary strategy for moving adult salmon and steelhead O. mykiss around a dam or multiple dams involves trapping fish downstream and transporting them to upstream areas (“trap and haul”) for spawning. We conducted a 4‐year radiotelemetry study to evaluate behavior and movement patterns of hatchery‐ and natural‐origin adult spring Chinook Salmon O. tshawytscha after a trap‐and‐haul program was implemented around three dams on the Cowlitz River, Washington. A multistate model was used to describe how factors such as origin, sex, release site location, and discharge affected transition rates to riverine areas where spawning habitat was located. Natural‐origin Chinook Salmon moved upstream from a reservoir release site and entered one of two rivers more quickly and in greater proportions than hatchery‐origin fish. Results from the multistate model indicated that transition rates from the reservoir to the Cowlitz River were 2.2 times higher for natural‐origin Chinook Salmon than for hatchery‐origin fish. About one‐half (49.6%) of the reservoir‐released hatchery‐origin Chinook Salmon moved upstream into the Cowlitz River or the Cispus River during the spawning period. The release of hatchery‐origin Chinook Salmon directly into these rivers increased the percentage of fish with river fates during the spawning period to 72.3–75.4%. Results from the multistate model showed that factors such as release site location, origin, day of year, and discharge were important predictors of transition intensities between specific locations in the study area. These findings illustrate the need to evaluate how salmon and steelhead respond to trap‐and‐haul methods, allowing for better management of reintroduction efforts in the future.

","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10199","usgsCitation":"Kock, T.J., Perry, R.W., Pope, A.C., Serl, J.D., Kohn, M., and Liedtke, T.L., 2018, Responses of hatchery‐ and natural‐origin adult spring Chinook Salmon to a trap‐and‐haul reintroduction program: North American Journal of Fisheries Management, v. 38, no. 5, p. 1004-1016, https://doi.org/10.1002/nafm.10199.","productDescription":"13 p.","startPage":"1004","endPage":"1016","ipdsId":"IP-090272","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":356524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cowlitz River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.22290039062499,\n 46.3886223381617\n ],\n [\n -121.453857421875,\n 46.3886223381617\n ],\n [\n -121.453857421875,\n 46.66263249079177\n ],\n [\n -122.22290039062499,\n 46.66263249079177\n ],\n [\n -122.22290039062499,\n 46.3886223381617\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5b98a285e4b0702d0e842f2f","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":742550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":742551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pope, Adam C. 0000-0002-7253-2247 apope@usgs.gov","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":5664,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","email":"apope@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":742552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Serl, John D.","contributorId":207057,"corporation":false,"usgs":false,"family":"Serl","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":37444,"text":"Washington Department of Fish and Wildlife, Cowlitz Falls Fish Facility, Randle, WA","active":true,"usgs":false}],"preferred":false,"id":742553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kohn, Mike","contributorId":207058,"corporation":false,"usgs":false,"family":"Kohn","given":"Mike","email":"","affiliations":[{"id":37445,"text":"Public Utility District Number 1 of Lewis County, Cowlitz Falls Project, Morton, WA","active":true,"usgs":false}],"preferred":false,"id":742554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":742555,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}