Research is necessary to identify patterns in nature, to understand how a system functions, and to make predictions about the future state of an ecosystem. Applied research in conservation biology can identify effective strategies to maintain biodiversity, though many papers end with the conclusion that more research is needed. However, more research does not necessarily lead to solutions. We use the ongoing global decline of amphibians as a salient example to highlight limitations in current conservation research, and to focus on finding solutions which are directly relevant for conservation. While research has been conducted since declines were first detected in the 1990s, outside a few specific examples, little progress in conservation has been achieved. We suggest that the case of amphibian declines is relevant to conservation science in general, as the current paradigm for conservation is that management is planned after research is completed; research and management are not effectively (and not directly) connected. This disconnect illustrates the knowledge-action divide which has been identified as a serious deficiency in conservation. Accordingly, we use this introductory paper to the Special Issue (Amphibian conservation in the Anthropocene: Progress and challenges) to describe amphibians as a conservation dilemma, and to make the case for a different, more pragmatic, and more solutions-focused view of conservation research.
Contemporary climate change is rapidly creating one of the greatest challenges for management and conservation during the 21st century. Mountain ecosystems, which have a high degree of spatial heterogeneity and contain numerous habitat specialists, have been identified as particularly vulnerable. We used data from multiple years across sites spanning a >40 million ha ecoregion to test hypotheses regarding how community‐level characteristics of vegetation may affect a mammalian generalist herbivore, the American pika (Ochotona princeps ). We examined patterns of pika persistence across sites in the hydrographic Great Basin, and occupancy within a subset of these sites. We used mixed‐effects logistic regression models to compare evidence in support of competing explanations for each pattern within an information–theoretic framework (using Akaike's information criterion). Models reflected four hypothesized classes of mechanisms related to nutritional ecology, ecosystem function, indirect indication of climatic effects, and (synergistic) combinations of these three classes. At the site level, models reflecting synergistic effects received the most support. At the within‐site level, support appeared to be split equally among hypotheses containing predictors related to either nutritional ecology or indirect climate effects. Well‐supported predictors included cover of invasive plant species, cover of more‐xeric plant species, species evenness, and proportion of graminoid species. Our results both (1) identify important aspects of vegetation communities that may influence herbivore distribution in mountainous areas across a large, diverse geographic region, and (2) contribute to an improved understanding of how mountain ecosystems may be affected by ongoing climate change, more broadly.
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These data come from survey or monitoring efforts that use a wide variety of tools. Environmental DNA (eDNA) is a surveillance tool that uses genetic markers for detecting species and holds potential as a tool for large-scale monitoring programs. Two challenges of eDNA-based studies are uncertainties created by imperfect capture of eDNA in collection samples (e.g., water field samples) and imperfect detection of eDNA using molecular methods (e.g., quantitative PCR). Occurrence models can be used to address these challenges, thus we use an occurrence model to address two objectives: First, determine how many samples were required to detect species using eDNA; Second, examine when and where to take samples. We collected water samples from three different habitat types in the Upper Mississippi River when both Bighead Carp and Silver Carp were known to be present based on telemetry detections. Each habitat type (backwater, tributary, and impoundment) was sampled during April, May and November. Detections of eDNA for both species varied across sites and months, but were generally low, 0 - 19.3% of samples were positive for eDNA. Overall, we found that eDNA-based sampling holds promise to be a powerful monitoring tool for resource managers, however, limitations of eDNA-based sampling include different biological and ecological characteristics of target species such as seasonal habitat usage patterns as well as aspects of different physical environments that impact the implementation of these methods such as water temperature.","language":"English","publisher":"Wiley","doi":"10.1002/eap.1951","usgsCitation":"Mize, E.L., Erickson, R.A., Merkes, C.M., Berndt, N., Bockrath, K., Credico, J., Grueneis, N., Merry, J., Mosel, K., Tuttle-Lau, M., Von Ruden, K., Amberg, J., Baerwaldt, K., Finney, S., and Monroe, E., 2019, Refinement of eDNA as an early monitoring tool at the landscape-level: Study design considerations: Ecological Applications, v. 29, no. 6, e01951, https://doi.org/10.1002/eap.1951.","productDescription":"e01951","ipdsId":"IP-099527","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences 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Two vertically cored boreholes, to 152 and 192 m below the surface, were drilled using filtered, UV-sterilized seawater circulating fluid to minimize microbial contamination. These cores parallel a 181 m core drilled in 1979. Introductory investigations indicate changes in material properties and whole-rock compositions over the past 38 years. A Surtsey subsurface observatory installed to 181 m in one vertical borehole holds incubation experiments that monitor in situ mineralogical and microbial alteration processes at 25–124 ∘C. A third cored borehole, inclined 55∘ in a 264∘ azimuthal direction to 354 m measured depth, provides further insights into eruption processes, including the presence of a diatreme that extends at least 100 m into the seafloor beneath the Surtur crater. The SUSTAIN project provides the first time-lapse drilling record into a very young oceanic basaltic volcano over a range of temperatures, 25–141 ∘C from 1979 to 2017, and subaerial and submarine hydrothermal fluid compositions. Rigorous procedures undertaken during the drilling operation protected the sensitive environment of the Surtsey Natural Preserve.","language":"English","publisher":"International Continental Scientific Drilling Program (ICDP) and International Ocean Discovery Program (IODP)","doi":"10.5194/sd-25-35-2019","usgsCitation":"Jackson, M., Gudmundsson, M., Weisenberger, T., Rhodes, J., Stefansson, A., Kleine, B., Lippert, P., Marquardt, J., Reynolds, H., Kuck, J., Marteinsson, V., Vannier, P., Bach, W., Barich, A., Bergsten, P., Bryce, J.G., Cappelletti, P., Couper, S., Fahnestock, M., Gorny, C., Grimaldi, C., Groh, M., Gudmundsson, A., Gunnlaugsson, A., Hamlin, C., Hognadottir, T., Jonasson, K., Jonsson, S., Jorgensen, S., Klonowski, A., Marshall, B., McPhie, J., Moore, J.G., Olafsson, E., Onstag, S., Perez, V., Prause, S., Snorasson, S., Türke, A., White, J., and Zimanowski, B., 2019, SUSTAIN drilling at Surtsey volcano, Iceland, tracks hydrothermal and microbiological interactions in 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B.V.","contributorId":216906,"corporation":false,"usgs":false,"family":"Marshall","given":"B.V.","email":"","affiliations":[{"id":39547,"text":"former U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":775242,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"McPhie, J.","contributorId":211905,"corporation":false,"usgs":false,"family":"McPhie","given":"J.","affiliations":[{"id":38349,"text":"University of Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":775243,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Moore, James G. 0000-0002-7543-2401 jmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-7543-2401","contributorId":2892,"corporation":false,"usgs":true,"family":"Moore","given":"James","email":"jmoore@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":775244,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Olafsson, E.S.","contributorId":220599,"corporation":false,"usgs":false,"family":"Olafsson","given":"E.S.","email":"","affiliations":[{"id":36649,"text":"University of Iceland","active":true,"usgs":false}],"preferred":false,"id":775245,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Onstag, S.L.","contributorId":220600,"corporation":false,"usgs":false,"family":"Onstag","given":"S.L.","email":"","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":775246,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Perez, V.","contributorId":220601,"corporation":false,"usgs":false,"family":"Perez","given":"V.","email":"","affiliations":[{"id":36649,"text":"University of Iceland","active":true,"usgs":false}],"preferred":false,"id":775247,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Prause, S.","contributorId":220602,"corporation":false,"usgs":false,"family":"Prause","given":"S.","email":"","affiliations":[{"id":40184,"text":"Iceland GeoSurvey","active":true,"usgs":false}],"preferred":false,"id":775248,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Snorasson, S.P.","contributorId":220603,"corporation":false,"usgs":false,"family":"Snorasson","given":"S.P.","email":"","affiliations":[{"id":40189,"text":"Verkís Consulting Engineers, Reykjavík","active":true,"usgs":false}],"preferred":false,"id":775249,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Türke, A.","contributorId":220604,"corporation":false,"usgs":false,"family":"Türke","given":"A.","affiliations":[{"id":40185,"text":"Matís, Exploration & Utilization of Genetic Resources, Reykjavík","active":true,"usgs":false}],"preferred":false,"id":775250,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"White, J.D.L.","contributorId":220605,"corporation":false,"usgs":false,"family":"White","given":"J.D.L.","email":"","affiliations":[{"id":40190,"text":"University of Otago","active":true,"usgs":false}],"preferred":false,"id":775251,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Zimanowski, B.","contributorId":220606,"corporation":false,"usgs":false,"family":"Zimanowski","given":"B.","email":"","affiliations":[{"id":40191,"text":"Universität Würzburg","active":true,"usgs":false}],"preferred":false,"id":775252,"contributorType":{"id":1,"text":"Authors"},"rank":42}]}} ,{"id":70205859,"text":"70205859 - 2019 - Ecosystem scale loss of grazing habitat impacted by abundance of dominant herbivores","interactions":[],"lastModifiedDate":"2019-10-09T08:04:53","indexId":"70205859","displayToPublicDate":"2019-06-12T08:04:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem scale loss of grazing habitat impacted by abundance of dominant herbivores","docAbstract":"Grazing lawns, patches of grazing tolerant plants with high nutrient value, provide important habitat for herbivores, and changes in abundance can impact herbivore populations. Grazing lawns are maintained in quality and quantity by repeated grazing and are a result of a positive feedback since the availability of grazing lawn can increase herbivore populations and increased herbivore populations can result in an increase in grazing lawn extent. We sampled aerial imagery from a long-term dataset (>20 yrs) at an internationally important breeding area for avian herbivores to model changes in grazing lawn abundance over time and identify the possible factors impacting those changes, including numbers of breeding birds, their primary predator, and spring phenology. Our data suggests that avian herbivores and their predators likely exert strong impacts on plant communities and may drive vegetation abundance. Decreases in the number of herbivore nests in our study coincided with an almost complete lack of grazing lawn in the mid-2000s. Any factors dictating the amount of grazing lawn available for avian herbivores could strongly influence breeding success and the maximum size of these populations. Our results demonstrate the importance of studying complex interactions among predators, herbivores and plants, and population moderation by both bottom-up and top-down processes.","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.2767","usgsCitation":"Uher-Koch, B.D., Schmutz, J.A., Wilson, H.M., Anthony, R., Day, T.L., Fondell, T.F., Person, B.T., and Sedinger, J.S., 2019, Ecosystem scale loss of grazing habitat impacted by abundance of dominant herbivores: Ecosphere, v. 10, no. 6, e02767, https://doi.org/10.1002/ecs2.2767.","productDescription":"e02767","ipdsId":"IP-101279","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467539,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2767","text":"Publisher Index Page"},{"id":368147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":772646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Heather M.","contributorId":37056,"corporation":false,"usgs":false,"family":"Wilson","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":13236,"text":"U.S. Fish and Wildlife Service, Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":772647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anthony, R Michael","contributorId":219603,"corporation":false,"usgs":false,"family":"Anthony","given":"R Michael","affiliations":[{"id":40038,"text":"USGS Alaska Science Center (Retired)","active":true,"usgs":false}],"preferred":false,"id":772648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day, Thomas L","contributorId":219604,"corporation":false,"usgs":false,"family":"Day","given":"Thomas","email":"","middleInitial":"L","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":772649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fondell, Thomas F tfondell@usgs.gov","contributorId":219605,"corporation":false,"usgs":false,"family":"Fondell","given":"Thomas","email":"tfondell@usgs.gov","middleInitial":"F","affiliations":[{"id":40039,"text":"USGS Alaska Science Center (Deceased)","active":true,"usgs":false}],"preferred":false,"id":772650,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Person, Brian T.","contributorId":107457,"corporation":false,"usgs":false,"family":"Person","given":"Brian","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":772651,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sedinger, James S.","contributorId":213694,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":772652,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70207038,"text":"70207038 - 2019 - Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary","interactions":[],"lastModifiedDate":"2019-12-04T15:55:23","indexId":"70207038","displayToPublicDate":"2019-06-11T15:54:36","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary","docAbstract":"This report describes an Adaptive Harvest Management (AHM) program designed to maintain the Svalbard population of Pink-footed Geese (Anser brachyrhynchus) near their target level (60,000) by providing sustainable harvests in Norway and Denmark. Specifically, this report provides recent monitoring and assessment results and their implications for the 2019 hunting season.\n\nIn this report we provide results for both the set of nine discrete population models used since 2013 and for a recently developed Integrated Population Model (IPM). Updating model weights (set of nine models) and model parameters (IPM) use the most recent monitoring information available (i.e. through spring 2019). We also compare optimal harvest strategies based on the two modeling approaches. Of growing concern, however, has been the observation that the predictive ability of the original population models has declined over time. Going forward, we suggest that use of the IPM is a superior modeling approach for setting hunting seasons for\nPink-footed Geese.\n\nPopulation sizes in May as estimated by the IPM are in general agreement with counts and capture-markrecapture estimates but are more precise. Estimates of survival from natural causes were relatively constant over time with a mean of 0.93 and estimates of adult kill rate ranged from 0.04 to 0.13. Estimates of countryspecific kill rates suggest that most of the overall increase in kill rate in recent years is attributed to increasing harvest pressure in Denmark. With respect to productivity, the IPM produced estimates of preseason age ratio that were variable over time, but on average suggested that young constituted about 18% of the population just\nprior to the hunting season. Estimates of the preseason age ratio correlated well with the number of days above freezing in May in Svalbard. Our results suggest that population size has stabilized because of declining survival rates that have accompanied an increase in kill rates. Adoption of the IPM this year would result in a harvest quota for the 2019 hunting season of 22,000, based on a May population estimate of 76,500 (95% CI: 66,800 – 86,600) and 8 days above freezing in Svalbard. Using the agreed upon allocation of the total allowable\nharvest, the quotas are 6,600 for Norway and 15,400 for Denmark. Assuming the total quota is met, the IPM predicts a population size in May 2020 of 64,900 (95% CI: 50,300 – 83,700).\n\nWe note that the updated set of original models used since 2013 suggests an allowable harvest of 40,000 in 2019 based on a November 2018 count of 91,900 geese (comprised of 12,900 young and 79,000 adults). We are skeptical of this large quota, however. Using all available demographic data suggests that the November 2018 population size was lower than that indicated by the count and that the winter population experienced more natural mortality than expected. These insights demonstrate the inherent risk of basing a harvest quota\non a single population count, irrespective of other demographic data.","language":"English","publisher":"AEWA European Goose Management International Working Group","collaboration":"Aarhus University, Denmark","usgsCitation":"Johnson, F., Heldbjerg, H., Clausen, K.K., and Madsen, J., 2019, Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary, 19 p.","productDescription":"19 p.","ipdsId":"IP-108881","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":369923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369893,"type":{"id":11,"text":"Document"},"url":"https://egmp.aewa.info/sites/default/files/meeting_files/documents/AEWA_EGM_IWG_4_7_PFG_AHM%20update.pdf"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Fred 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":221013,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":776594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heldbjerg, Henning","contributorId":174479,"corporation":false,"usgs":false,"family":"Heldbjerg","given":"Henning","email":"","affiliations":[],"preferred":false,"id":776595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clausen, Kevin K.","contributorId":174355,"corporation":false,"usgs":false,"family":"Clausen","given":"Kevin","email":"","middleInitial":"K.","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":776596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madsen, Jesper","contributorId":178168,"corporation":false,"usgs":false,"family":"Madsen","given":"Jesper","email":"","affiliations":[],"preferred":false,"id":776597,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203875,"text":"70203875 - 2019 - Soil characteristics are associated with gradients of big sagebrush canopy structure after disturbance","interactions":[],"lastModifiedDate":"2019-08-15T12:19:43","indexId":"70203875","displayToPublicDate":"2019-06-11T14:21:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Soil characteristics are associated with gradients of big sagebrush canopy structure after disturbance","docAbstract":"Reestablishing shrub canopy cover after disturbance in semi-arid ecosystems, such as sagebrush steppe, is essential to provide wildlife habitat and restore ecosystem functioning. While several studies have explored the effects of landscape and climate factors on the success or failure of sagebrush seeding, the influence of soil properties on gradients of shrub canopy structure in successfully seeded areas remains largely unexplored. In this study, we evaluated associations between soil properties and gradients in sagebrush canopy structure in stands that had successfully reestablished after fire and subsequent seeding treatments. Using a dataset collected across the Great Basin, USA, of sagebrush stands that had burned and reestablished\nbetween 1986 and 2013, we tested soil depth and texture, soil surface classification, biological soil crusts plus mean historical precipitation, solar heatload, and fire history as modeling variables to explore gradients in sagebrush canopy structure growth in terms of cover, height, and density. Deeper soils were associated with greater sagebrush canopy structure development in terms of plant density and percent cover, coarser textured soils were associated with greater sagebrush cover and density, and more clayey soils were typically associated with greater height. Biological crust presence was also positively associated with enhanced sagebrush canopy growth, but adding more demographically or morphologically explicit descriptions of biocrust communities did not improve explanatory power. Increasing heatload had a negative effect on sagebrush canopy structure growth, and increased mean annual precipitation was only associated with greater sagebrush height. Given that conservation and restoration of the sagebrush steppe ecosystems has become a priority for land managers, the associations we identify between gradients in post-fire sagebrush canopy structure growth and field-identifiable soil characteristics may improve planning of land treatments for sagebrush restoration and the understanding of semi-arid ecosystem functioning and post-disturbance dynamics.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2780","usgsCitation":"Barnard, D., Germino, M., Arkle, R., Bradford, J., Duniway, M., Pilliod, D.S., Pyke, D., Shriver, R., and Welty, J.L., 2019, Soil characteristics are associated with gradients of big sagebrush canopy structure after disturbance: Ecosphere, v. 10, no. 6, e02780, 12 p., https://doi.org/10.1002/ecs2.2780.","productDescription":"e02780, 12 p.","ipdsId":"IP-101399","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467540,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2780","text":"Publisher Index Page"},{"id":364792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnard, David","contributorId":216338,"corporation":false,"usgs":true,"family":"Barnard","given":"David","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":764544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":216339,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John","contributorId":216340,"corporation":false,"usgs":true,"family":"Bradford","given":"John","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael","contributorId":216341,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":216342,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pyke, David 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":216343,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shriver, Robert","contributorId":216344,"corporation":false,"usgs":true,"family":"Shriver","given":"Robert","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":216345,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764552,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70202827,"text":"sir20195016 - 2019 - Interpretation of dye tracing data collected November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains course, Savoy, Arkansas","interactions":[],"lastModifiedDate":"2019-06-11T17:41:25","indexId":"sir20195016","displayToPublicDate":"2019-06-11T14:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5016","displayTitle":"Interpretation of Dye Tracing Data Collected November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains Course, Savoy, Arkansas","title":"Interpretation of dye tracing data collected November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains course, Savoy, Arkansas","docAbstract":"The first course on the use of advanced groundwater field techniques for karst aquifers was conducted November 13–17, 2017, at the University of Arkansas Savoy Experimental Watershed (SEW), which is located on pastures for beef livestock research conducted by the Department of Animal Sciences at the University of Arkansas at Savoy, Arkansas. The SEW is an interdisciplinary, collaborative, long-term research site for the study of animal-waste management in a mantled karst setting. The course focused on advanced field activities appropriate for karst aquifer studies: dye tracing, groundwater/surface-water interactions, geophysical methods, and geochemistry. This report summarizes the data collected and interpreted from the dye tracing part of the November 2017 course, other USGS field courses, and past dye tracing investigations conducted by University of Arkansas students.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195016","collaboration":"Prepared in Collaboration with the University of Arkansas Department of Geosciences","usgsCitation":"Kuniansky, E.L., Blackstock, J.M., Wagner, D.M., and Brahana, J.V., 2019, Interpretation of dye tracing data collected, November 13–December 2, 2017, at the Savoy Experimental Watershed as part of the Advanced Groundwater Field Techniques in Karst Terrains Course, Savoy, Arkansas: U.S. Geological Survey Scientific Investigations Report 2019–5016, 41 p., https://doi.org/10.3133/sir20195016.","productDescription":"Report: 41 p.;Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101252","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364493,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5016/coverthb.jpg"},{"id":364494,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5016/sir20195016.pdf","text":"Report","size":"4.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5016"},{"id":364495,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P935TENP","text":"USGS data release","description":"USGS data release"}],"country":"United States","state":"Arkansas","county":"Washington County","city":"Savoy","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-93.8883,36.2353],[-93.945,36.0915],[-93.946,36.0415],[-93.9508,35.8749],[-93.9521,35.8336],[-93.9617,35.8339],[-93.9638,35.7608],[-94.1073,35.7642],[-94.1181,35.7645],[-94.1244,35.7649],[-94.1251,35.7503],[-94.1546,35.7511],[-94.2295,35.7529],[-94.3038,35.7547],[-94.3407,35.7558],[-94.4854,35.7592],[-94.4947,35.7594],[-94.4955,35.7648],[-94.5199,35.9205],[-94.5301,35.986],[-94.5338,36.0093],[-94.5498,36.1027],[-94.5433,36.102],[-94.5274,36.1019],[-94.4801,36.1006],[-94.4624,36.1001],[-94.4447,36.0995],[-94.4242,36.0995],[-94.4071,36.0994],[-94.3889,36.0988],[-94.3891,36.1433],[-94.3561,36.1426],[-94.3367,36.1425],[-94.3352,36.1856],[-94.3349,36.2147],[-94.2819,36.2139],[-94.279,36.2135],[-94.2504,36.2127],[-94.1785,36.2113],[-94.174,36.2114],[-94.154,36.2108],[-94.021,36.2086],[-94.013,36.2083],[-94.0131,36.2305],[-94.0127,36.2382],[-94.0024,36.238],[-93.9893,36.2373],[-93.8883,36.2353]]]},\"properties\":{\"name\":\"Washington\",\"state\":\"AR\"}}]}","contact":"Director, Lower Mississippi Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park Drive
Nashville, TN 37211
Sustainable management of fish stocks is promoted through the application of management strategy evaluations (MSEs), providing information to managers on the relative performance of alternative management approaches (strategies) while accounting for uncertainty. In this study, we developed a simplified MSE of a stock of Cisco Coregonus artedi in Thunder Bay, Ontario, to determine both the sustainability of the current harvest control rule (i.e., a constant exploitation rate [U] of 10%) and the performance of alternative harvest control rules in meeting fishery objectives. Success in meeting fishery objectives was evaluated through attained yields, interannual variation in yields, magnitude of spawning stock biomass (SB), and the risk of reaching low SB—performance metrics established based on consultation with an advisory group to Lake Superior fishery managers. Our simulations explicitly accounted for uncertainty in the frequency of strong year‐classes being produced by Cisco, the stock–recruit relationship, stock abundance, and the sex‐specific nature of roe harvest. Assuming that future productivity is similar to the productivity observed over the period from 1985 to 2015, results suggest that the current U of 10% is sustainable in terms of maintaining SB above 20% of the unfished level. Variants of constant U control rules that included thresholds defining when U is to decrease as a function of SB increased yield, decreased risk, and increased the magnitude of SB at the end of the simulation period. However, these advantages came at the expense of greater interannual variation in yield. Constant catch control rules greatly underperformed constant U control rules in terms of magnitude in yield; however, they did reduce interannual variation in yield compared to constant Ucontrol rules. Furthermore, conditional versions of constant catch control rules (i.e., threshold stock sizes below which the catch limit was reduced) mitigated risks of staying at low stock size.
","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10290","usgsCitation":"Fisch, N.C., Bence, J., Myers, J.T., Berglund, E.K., and Yule, D., 2019, Evaluating the sustainability of a cisco fishery in Thunder Bay, Ontario, under alternative harvest policies: North American Journal of Fisheries Management, v. 39, no. 3, p. 543-559, https://doi.org/10.1002/nafm.10290.","productDescription":"17 p.","startPage":"543","endPage":"559","ipdsId":"IP-097247","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":364588,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","city":"Thunder 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We developed a predictive logistic model for barotrauma incidence in Yellow Perch Perca flavescens and applied this model to Ohio's recreational and commercial fisheries in Lake Erie where fisheries managers implicitly consider discard mortality to be negligible in current stock assessment. As expected, capture depth explained most of the variation in incidence, with comparatively small effects of season, sex, and size categories. Measurements of whole body and gonad density provided limited explanation for the categorical effects. Both fisheries spanned a range of depths (7.6 to 16.8 m) that corresponded to a broad range of barotrauma incidence (13 to 74%). Using a recent example, we estimated that additional fishing mortality due to barotrauma in discards was approximately six-fold higher in the commercial than recreational fishery. Overall, this additional mortality was <1% of lake-wide population size estimates. Thus, the assumption that all discarded Yellow Perch survive is unlikely to result in a detectable bias in population estimates. One caveat is that we still do not understand how strong year-classes might influence discard mortality via increased discard rate and barotrauma incidence for small fish.","language":"English","publisher":"US Fish and Wildlife Service","doi":"10.3996/062018-JFWM-056","usgsCitation":"Knight, C., Kraus, R.T., Panos, D., Gorman, A.M., Leonhardt, B., Robinson, J., and Thomas, M.J., 2019, Is barotrauma an important factor in the discard mortality of Yellow Perch?: Journal of Fish and Wildlife Management, v. 10, no. 1, p. 69-78, https://doi.org/10.3996/062018-JFWM-056.","productDescription":"10 p.","startPage":"69","endPage":"78","onlineOnly":"N","ipdsId":"IP-098140","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/062018-jfwm-056","text":"Publisher Index Page"},{"id":364587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84,\n 41\n ],\n [\n -78.49731445312499,\n 41\n ],\n [\n -78.49731445312499,\n 43.36512572875844\n ],\n [\n -84,\n 43.36512572875844\n ],\n [\n -84,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Knight, Carey","contributorId":216161,"corporation":false,"usgs":false,"family":"Knight","given":"Carey","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":764065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":764064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Panos, Demetra","contributorId":216162,"corporation":false,"usgs":false,"family":"Panos","given":"Demetra","email":"","affiliations":[{"id":39374,"text":"University of California Northridge","active":true,"usgs":false}],"preferred":false,"id":764066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorman, Ann Marie","contributorId":145525,"corporation":false,"usgs":false,"family":"Gorman","given":"Ann","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":764067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leonhardt, Benjamin","contributorId":216163,"corporation":false,"usgs":false,"family":"Leonhardt","given":"Benjamin","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":764068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, Jason","contributorId":216164,"corporation":false,"usgs":false,"family":"Robinson","given":"Jason","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":764069,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thomas, Michael J.","contributorId":196240,"corporation":false,"usgs":false,"family":"Thomas","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":764070,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203777,"text":"70203777 - 2019 - Aquatic vegetation and invertebrate communities of Big Stone National Wildlife Refuge","interactions":[],"lastModifiedDate":"2019-06-12T08:48:59","indexId":"70203777","displayToPublicDate":"2019-06-11T09:54:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic vegetation and invertebrate communities of Big Stone National Wildlife Refuge","docAbstract":"Observed degradation of aquatic systems at Big Stone National Wildlife Refuge, located in west-central Minnesota, have been associated with sediment-laden inflows from riverine systems. To support management, a study was conducted during 2013–2014 with overall goals of characterizing the aquatic invertebrate and vegetation communities of the Big Stone National Wildlife Refuge and exploring relations between these communities and various water-quality parameters. Sample sites were located along an observed vegetation gradient and assigned to\nthree predetermined habitat zones for comparison purposes: upstream, transition, and downstream. Of the 12 species of aquatic vegetation that were identified, invasive narrowleaf cattail Typha angustifolia dominated the upstream zone (observed at .90% of sample locations), coontail Ceratophyllum demersum and narrowleaf cattail were most common in the transition zone (collected or observed at 100 and 83% of sample locations, respectively), and coontail and\nnarrowleaf pondweed Potamogeton strictifolius were most common in the downstream zone collected at 100 and 64% of sample locations, respectively). Measured values for the water-quality parameters varied among dates, reflecting the continually fluctuating nature of riverine systems. Based on general observations across sample dates, turbidity and dissolved oxygen concentrations were greatest in the upstream zone sample sites, while oxidation-reduction potential was greatest in the downstream zone sites. There were 115 unique aquatic invertebrate taxa identified to varying levels of taxonomic resolution. Results suggested that there were overall differences in invertebrate biomass among the sample dates, but that there were no strong trends among the sample zones. Aquatic invertebrates and vegetation communities, along with the water-quality parameters, varied temporally and showed irregular relations among the sample zones. These general observations emphasize the importance of temporally and spatially intensive sampling to account for natural variation. Moreover, short- and long-term streamflow and water-level information obtained for this study demonstrated substantial variability that must be considered when conducting biotic inventories and monitoring water quality, as well as when using such data to assess management options. Periodic monitoring of\nwetlands and associated streamflows, along with sediment loads and water quality of inflows, should allow Big Stone\nNational Wildlife Refuge staff to identify habitat degradation and potential contributing factors, and to develop\nstrategies to achieve specific management objectives and goals.","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/082018-JFWM-066","usgsCitation":"Tangen, B., Finocchiaro, R., Newton, W.E., and Dahl, C., 2019, Aquatic vegetation and invertebrate communities of Big Stone National Wildlife Refuge: Journal of Fish and Wildlife Management, v. 1, no. 10, p. 277-294, https://doi.org/10.3996/082018-JFWM-066.","productDescription":"18 p.","startPage":"277","endPage":"294","ipdsId":"IP-070799","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467542,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/082018-jfwm-066","text":"Publisher Index Page"},{"id":437424,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7V69GN5","text":"USGS data release","linkHelpText":"Aquatic invertebrates and vegetation and water-quality of Big Stone National Wildlife Refuge, Minnesota: 2013-2014"},{"id":364585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Big Stone County, Lac Qui Parle County","otherGeospatial":"Big Stone National Wildlife Refuge","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-96.8363,45.5858],[-96.2535,45.5862],[-96.2425,45.5864],[-96.2412,45.4136],[-96.1185,45.4133],[-96.1176,45.241],[-96.1033,45.2408],[-96.1046,45.1896],[-96.1044,45.1859],[-96.105,45.1823],[-96.1049,45.18],[-96.0915,45.1702],[-96.0791,45.1668],[-96.0673,45.1624],[-96.0568,45.1585],[-96.0522,45.1568],[-96.0476,45.155],[-96.0444,45.1551],[-96.0424,45.1547],[-96.0398,45.1538],[-96.0372,45.1525],[-96.0283,45.1399],[-96.0182,45.13],[-96.0083,45.1234],[-96.0015,45.1157],[-95.9915,45.1063],[-95.9768,45.0942],[-95.9575,45.0777],[-95.9402,45.0657],[-95.9158,45.0506],[-95.8847,45.031],[-95.8801,45.0279],[-95.8715,45.0226],[-95.8641,45.0127],[-95.8547,45.0046],[-95.8378,45.0004],[-95.8225,44.9874],[-95.8222,44.9778],[-95.8225,44.9691],[-95.8146,44.9629],[-95.808,44.9593],[-95.8033,44.9521],[-95.7947,44.9472],[-95.7812,44.9479],[-95.7726,44.943],[-95.7637,44.9468],[-95.7565,44.9419],[-95.7495,44.9443],[-95.7442,44.9417],[-95.7363,44.9368],[-95.7374,44.892],[-95.8456,44.892],[-95.8472,44.8057],[-96.4533,44.8056],[-96.4532,44.9788],[-96.453,45.2429],[-96.453,45.2546],[-96.4535,45.2678],[-96.4536,45.2693],[-96.4536,45.2695],[-96.453,45.2802],[-96.4523,45.2941],[-96.4521,45.2978],[-96.4519,45.3022],[-96.4538,45.3074],[-96.4582,45.3116],[-96.4588,45.3121],[-96.4616,45.3142],[-96.4668,45.3179],[-96.4697,45.3239],[-96.4692,45.3265],[-96.47,45.3289],[-96.4728,45.3346],[-96.4736,45.3363],[-96.4752,45.3395],[-96.4772,45.3432],[-96.4793,45.3471],[-96.4839,45.3518],[-96.4874,45.3553],[-96.4946,45.3626],[-96.4981,45.3648],[-96.5017,45.3671],[-96.5059,45.3698],[-96.5121,45.3717],[-96.5181,45.3736],[-96.5232,45.3752],[-96.5301,45.3774],[-96.5372,45.3792],[-96.5443,45.381],[-96.5544,45.3836],[-96.5582,45.3852],[-96.5662,45.3886],[-96.5734,45.3918],[-96.5814,45.3952],[-96.5892,45.3985],[-96.5943,45.4007],[-96.6008,45.4046],[-96.6087,45.4094],[-96.6119,45.4096],[-96.6184,45.41],[-96.6301,45.41],[-96.6418,45.41],[-96.6457,45.41],[-96.6535,45.4104],[-96.6619,45.4109],[-96.6742,45.4115],[-96.6767,45.4123],[-96.6792,45.4133],[-96.6934,45.4229],[-96.6977,45.427],[-96.7013,45.4304],[-96.71,45.438],[-96.731,45.4587],[-96.7317,45.4593],[-96.7349,45.4642],[-96.7391,45.4715],[-96.7426,45.4777],[-96.7475,45.4838],[-96.7516,45.4984],[-96.7528,45.5011],[-96.7539,45.5035],[-96.7629,45.517],[-96.7642,45.5189],[-96.7734,45.5286],[-96.7757,45.5307],[-96.7848,45.5388],[-96.7921,45.5457],[-96.8002,45.5533],[-96.8043,45.5571],[-96.8144,45.5664],[-96.8245,45.575],[-96.829,45.5789],[-96.8363,45.5858]]]},\"properties\":{\"name\":\"Big Stone\",\"state\":\"MN\"}}]}","volume":"1","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":216177,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":764087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finocchiaro, Raymond 0000-0002-5514-8729","orcid":"https://orcid.org/0000-0002-5514-8729","contributorId":205650,"corporation":false,"usgs":false,"family":"Finocchiaro","given":"Raymond","affiliations":[],"preferred":false,"id":764088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newton, Wesley E. 0000-0002-1377-043X wnewton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-043X","contributorId":3661,"corporation":false,"usgs":true,"family":"Newton","given":"Wesley","email":"wnewton@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":764090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dahl, Charles F.","contributorId":214075,"corporation":false,"usgs":false,"family":"Dahl","given":"Charles F.","affiliations":[{"id":33701,"text":"former USGS-NPWRC","active":true,"usgs":false}],"preferred":false,"id":764089,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70223461,"text":"70223461 - 2019 - Proximity to unconventional shale gas infrastructure alters breeding bird abundance and distribution","interactions":[],"lastModifiedDate":"2021-08-27T13:48:34.354779","indexId":"70223461","displayToPublicDate":"2019-06-11T08:45:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Proximity to unconventional shale gas infrastructure alters breeding bird abundance and distribution","docAbstract":"Unconventional shale gas development is a rapidly expanding driver of forest loss and fragmentation in the central Appalachian region. We evaluated the relationship between breeding passerine abundances and distance from shale gas development at a long-term (2008–2017) study site in northern West Virginia, USA. We examined responses of 27 species within 3 habitat guilds: forest interior, early successional, and synanthropic. More than half of the species evaluated showed sensitivity to distance from unconventional shale gas infrastructure (e.g., well pads, access roads, pipelines). Five forest interior species occurred in greater abundances farther from shale gas development, whereas 3 forest interior gap specialists increased in abundance closer to shale gas. Early successional and synanthropic species, including the nest-parasitic Brown-headed Cowbird (Molothrus ater), generally occurred in greater abundances closer to shale gas infrastructure. We used interpolated distributions of 4 focal species to assess their spatial response to unconventional shale gas development over time. Our results indicate that breeding passerine distributions and community composition are changing with forest disturbance driven by unconventional shale gas energy development.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/condor/duz020","usgsCitation":"Farwell, L., Wood, P.B., Brown, D., and Sheehan, J., 2019, Proximity to unconventional shale gas infrastructure alters breeding bird abundance and distribution: Ornithological Applications, v. 121, no. 3, duz020, 20 p., https://doi.org/10.1093/condor/duz020.","productDescription":"duz020, 20 p.","ipdsId":"IP-103333","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":388581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Vigninia","otherGeospatial":"Lewis Wetzel Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.72135925292969,\n 39.43141996823385\n ],\n [\n -80.57373046875,\n 39.43141996823385\n ],\n [\n -80.57373046875,\n 39.54270547059901\n ],\n [\n -80.72135925292969,\n 39.54270547059901\n ],\n [\n -80.72135925292969,\n 39.43141996823385\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Farwell, Laura S.","contributorId":264846,"corporation":false,"usgs":false,"family":"Farwell","given":"Laura S.","affiliations":[{"id":54569,"text":"West Virginai University","active":true,"usgs":false}],"preferred":false,"id":822086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Donald J.","contributorId":264847,"corporation":false,"usgs":false,"family":"Brown","given":"Donald J.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":822087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sheehan, James","contributorId":264848,"corporation":false,"usgs":false,"family":"Sheehan","given":"James","affiliations":[{"id":27863,"text":"U. S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":822088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203047,"text":"fs20193013 - 2019 - Assessment of continuous oil and gas resources in the Beetaloo Basin, Australia, 2018","interactions":[],"lastModifiedDate":"2019-06-11T08:23:51","indexId":"fs20193013","displayToPublicDate":"2019-06-10T16:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3013","displayTitle":"Assessment of Continuous Oil and Gas Resources in the Beetaloo Basin, Australia, 2018","title":"Assessment of continuous oil and gas resources in the Beetaloo Basin, Australia, 2018","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 429 million barrels of continuous oil and 8 trillion cubic feet of continuous gas in the Beetaloo Basin of northern Australia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193013","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Finn, T.M., Marra, K.R., Brownfield, M.E., Leathers-Miller, H.M., and Drake, R.M., II, 2019, Assessment of continuous oil and gas resources in the Beetaloo Basin, Australia, 2018: U.S. Geological Survey Fact Sheet 2019–3013, 2 p., https://doi.org/10.3133/fs20193013.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-102702","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":364487,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3013/fs20193013.pdf","text":"Report","size":"604 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3013"},{"id":364486,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3013/coverthb.jpg"}],"country":"Australia","otherGeospatial":"Beetaloo Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 126.5625,\n -23.50355189742412\n ],\n [\n 142.55859375,\n -23.50355189742412\n ],\n [\n 142.55859375,\n -10.811724143275514\n ],\n [\n 126.5625,\n -10.811724143275514\n ],\n [\n 126.5625,\n -23.50355189742412\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Many stream channel infrastructure, habitat, and restoration projects are being undertaken on small streams throughout Arkansas by various Federal, State, and local agencies and by private organizations and businesses with limited data on local geomorphology and streamflow relations. Equations are needed that relate drainage area above stable stream reaches and the associated basin characteristics to bankfull streamflow and the associated channel dimensions. These equations, along with streambed material particle information, provide information that can improve stream channel projects. The U.S. Geological Survey and the Arkansas Natural Resources Commission in cooperation with the U.S. Army Corps of Engineers, Little Rock District, undertook a study to develop these equations for streams in the Ouachita Mountains of Arkansas.
Seventeen streamgages operated by the U.S. Geological Survey, located on streams in the Ouachita Mountains, were selected for analysis. Regional hydraulic geometry curves that express the mathematical relation between the bankfull channel dimensions (cross-sectional area, top width, mean depth, and streamflow) and the contributing drainage areas were developed. Streambed material measurements were collected to develop descriptive statistics of the streambed particle-size distributions and percentages of substrate type at each study site. Stream reaches at each study site were classified to the Rosgen level II stream type based on the average of stream channel metrics collected from site cross sections and profiles. Of the 17 selected Ouachita Mountain stream reaches, 6 were classified as B stream types, and 11 were classified as C stream types. The B stream types have infrequently spaced pools; very stable plan forms, profiles, and banks; and narrow, gently sloping valleys, where bank vegetation is a moderate component of stability. The C stream types are meandering, point bar, riffle-pool channels associated with broad valleys having well-defined flood plains and terraces composed of alluvial soils, where bank vegetation is typically a high component of stability.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1104","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the U.S. Army Corps of Engineers, Little Rock District","usgsCitation":"Pugh, A.L., and Redman, R.K., 2019, Regional hydraulic geometry characteristics of stream channels in the Ouachita Mountains of Arkansas: U.S. Geological Survey Data Series 1104, 25 p., https://doi.org/10.3133/ds1104.","productDescription":"Report: v, 25 p.; Data Release","numberOfPages":"35","onlineOnly":"Y","ipdsId":"IP-076095","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364361,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1104/ds1104.pdf","text":"Report","size":"8.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1104"},{"id":364362,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7BC3WNX","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Regional Hydraulic Geometry Characteristics of Stream Channels in the Ouachita Mountains of Arkansas"},{"id":364360,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1104/coverthb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Ouachita Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.350341796875,\n 33.6420625047537\n ],\n [\n -93.306884765625,\n 33.6420625047537\n ],\n [\n -93.306884765625,\n 35.34425514918409\n ],\n [\n -95.350341796875,\n 35.34425514918409\n ],\n [\n -95.350341796875,\n 33.6420625047537\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Ste 100
Nashville, TN 37211
Before the 2018 collapse of the summit of Kīlauea volcano, a ca. 200 m in diameter lava lake inside of Halema‘uma‘u crater was embedded in a very active hydrothermal system. In 2015, we carried out an electrical conductivity survey and the data were inverted in 3D. The lack of conductivity contrast precludes distinguishing the lava column from the surrounding hydrothermal zones. Laboratory measurements on samples from the lava lake show that the conductivity of magma is significantly lower than that of hydrothermal zones but the high vesicularity of the upper part of the lava lake may decrease its macroscopic conductivity. Based on the 3D conductivity model, we distinguish at least two types of hydrothermal circulations: 1) one guided by the collapse faults of Halema‘uma‘u crater and by the magmatic column of the lava lake, and 2) another guided by previous caldera faults and fractures related to intrusions. We observe that the location of the faults formed during the 2018 collapse of the summit was greatly influenced by the hydrothermally altered zones.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2019.06.001","usgsCitation":"Gailler, L., Kauahikaua, J.P., Lenat, J., Revil, A., Gresse, M., Ahmed, A.S., Cluzel, N., Manthilake, G., Gurioli, L., Johnson, T.B., Finizola, A., and Delcher, E., 2019, 3D electrical conductivity imaging of Halema‘uma‘u lava lake (Kīlauea volcano): Journal of Volcanology and Geothermal Research, v. 381, p. 185-192, https://doi.org/10.1016/j.jvolgeores.2019.06.001.","productDescription":"8 p.","startPage":"185","endPage":"192","ipdsId":"IP-094105","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467543,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2019.06.001","text":"Publisher Index Page"},{"id":367008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.30402183532715,\n 19.388238642115578\n ],\n [\n -155.23415565490723,\n 19.388238642115578\n ],\n [\n -155.23415565490723,\n 19.433652713875333\n ],\n [\n -155.30402183532715,\n 19.433652713875333\n ],\n [\n -155.30402183532715,\n 19.388238642115578\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"381","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gailler, Lydie 0000-0002-8132-2428","orcid":"https://orcid.org/0000-0002-8132-2428","contributorId":192584,"corporation":false,"usgs":false,"family":"Gailler","given":"Lydie","email":"","affiliations":[],"preferred":false,"id":769509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":769520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lenat, Jean-Francois 0000-0002-4828-9013","orcid":"https://orcid.org/0000-0002-4828-9013","contributorId":218534,"corporation":false,"usgs":false,"family":"Lenat","given":"Jean-Francois","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Revil, Andre","contributorId":218535,"corporation":false,"usgs":false,"family":"Revil","given":"Andre","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gresse, Marceau 0000-0002-3937-3280","orcid":"https://orcid.org/0000-0002-3937-3280","contributorId":218536,"corporation":false,"usgs":false,"family":"Gresse","given":"Marceau","email":"","affiliations":[{"id":39865,"text":"Earthquake Research Institute, University of Tokyo, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":769512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahmed, Abdellahi Soueid 0000-0002-4279-0093","orcid":"https://orcid.org/0000-0002-4279-0093","contributorId":218537,"corporation":false,"usgs":false,"family":"Ahmed","given":"Abdellahi","email":"","middleInitial":"Soueid","affiliations":[{"id":39866,"text":"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, 38000 10 Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":769513,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cluzel, Nicolas 0000-0002-2171-8789","orcid":"https://orcid.org/0000-0002-2171-8789","contributorId":218538,"corporation":false,"usgs":false,"family":"Cluzel","given":"Nicolas","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769514,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Manthilake, Geeth 0000-0001-8161-081X","orcid":"https://orcid.org/0000-0001-8161-081X","contributorId":218539,"corporation":false,"usgs":false,"family":"Manthilake","given":"Geeth","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769515,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gurioli, Lucia","contributorId":218540,"corporation":false,"usgs":false,"family":"Gurioli","given":"Lucia","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769516,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Tim B.","contributorId":127336,"corporation":false,"usgs":false,"family":"Johnson","given":"Tim","email":"","middleInitial":"B.","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":769517,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Finizola, Anthony","contributorId":190922,"corporation":false,"usgs":false,"family":"Finizola","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":769518,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Delcher, Eric 0000-0001-6671-7133","orcid":"https://orcid.org/0000-0001-6671-7133","contributorId":218541,"corporation":false,"usgs":false,"family":"Delcher","given":"Eric","email":"","affiliations":[{"id":39867,"text":"Laboratoire GéoSciences Réunion, Université de la Réunion, IPGP, Sorbonne Paris-Cité, 14 CNRS UMR 7154, 15 Avenue René Cassin, CS 92003, 97744 Saint-Denis, La Réunion, France","active":true,"usgs":false}],"preferred":false,"id":769519,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70203834,"text":"70203834 - 2019 - Microbiomes of stony and soft deep-sea corals share rare core bacteria","interactions":[],"lastModifiedDate":"2019-08-15T12:15:32","indexId":"70203834","displayToPublicDate":"2019-06-10T11:17:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5838,"text":"Microbiome","onlineIssn":"2049-2618","active":true,"publicationSubtype":{"id":10}},"title":"Microbiomes of stony and soft deep-sea corals share rare core bacteria","docAbstract":"Background: Numerous studies have shown that bacteria form stable associations with host corals and have focused on identifying conserved “core microbiomes” of bacterial associates inferred to be serving key roles in the coral holobiont. Because studies tend to focus on only stony corals (order Scleractinia) or soft corals (order Alcyonacea), it is currently unknown if there are conserved bacteria that are shared by both. A meta-analysis was done of 16S rRNA amplicon data from multiple studies generated via identical methodology to allow direct comparisons of bacterial associates across seven deep-sea corals, including both stony and soft species: Anthothela grandiflora, Anthothela sp., Lateothela grandiflora, Lophelia pertusa, Paramuricea placomus, Primnoa pacifica, and Primnoa resedaeformis.
Results: Twenty-three operational taxonomic units (OTUs) were consistently present in greater than 50% of the coral samples. Seven amplicon sequence variants (ASVs), five of which corresponded to a conserved OTU, were consistently present in greater than 30% of the coral samples including five or greater coral species. A majority of the conserved sequences had close matches with previously identified coral-associated bacteria. While known to dominate tropical and temperate coral microbiomes, Endozoicomonas were extremely rare or absent from these deep-sea corals. An Endozoicomonas OTU associated with Lo. pertusa in this study was most similar to those from shallow-water stony corals, while an OTU associated with Anthothela spp. was most similar to those from shallow-water gorgonians.
Conclusions: Bacterial sequences have been identified that are conserved at the level of class Anthozoa (i.e., found in both stony and soft corals, shallow and deep). These bacterial associates are therefore hypothesized to play important symbiotic roles and are highlighted for targeted future study. These conserved bacterial associates include taxa with the potential for nitrogen and sulfur cycling, detoxification, and hydrocarbon degradation. There is also some overlap with kit contaminants that need to be resolved. Rarely detected Endozoicomonas sequences are partitioned by whether the host is a stony coral or a soft coral, and the finer clustering pattern reflects the hosts’ phylogeny.
","language":"English","publisher":"BMC","doi":"10.1186/s40168-019-0697-3","usgsCitation":"Kellogg, C.A., 2019, Microbiomes of stony and soft deep-sea corals share rare core bacteria: Microbiome, v. 7, 90, 13p., https://doi.org/10.1186/s40168-019-0697-3.","productDescription":"90, 13p.","ipdsId":"IP-097775","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467544,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40168-019-0697-3","text":"Publisher Index Page"},{"id":364731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":764335,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203933,"text":"70203933 - 2019 - Community-based conservation and recovery of native species on Monuriki Island, Fiji","interactions":[],"lastModifiedDate":"2019-06-25T11:04:31","indexId":"70203933","displayToPublicDate":"2019-06-10T11:04:19","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Community-based conservation and recovery of native species on Monuriki Island, Fiji","docAbstract":"The small uninhabited island of Monuriki (40.4 ha) in western Fiji is of national and international conservation concern for its several protected species. Exotic invasive species and a Category 5 cyclone have exacerbated conservation challenges. The cooperation of local, national, and international stakeholders continues to be crucial in restoration of the island’s native flora and fauna. This summary presents a timeline of restoration efforts and current status of the recovery\nprogramme for Monuriki. The critically endangered dry forest habitat of Fiji is only found in a few isolated patches on disparate islands. The Fijian crested iguana (Brachylophus cf. vitiensis) is a critically endangered species restricted to a few small islands in this dry forest zone of western Fiji. The population of crested iguanas on Monuriki Island is the third largest remaining population. Even before iguanas were first documented on the island in the early 1980s, individuals had been removed by local resorts for display purposes, a practice that was previously unregulated. In the late 1990s, the first efforts to conserve and restore Monuriki Island were discussed, but conservation initiatives were not implemented until the development of the Crested Iguana Recovery Plan in 2008. In 2011, domestic goats (Capra hircus) and non-native rats (Rattus exulans) were removed from the island, and 10 pairs of iguanas were brought into captive breeding facilities within Fiji. In 2015, the first 32 captive-bred crested iguanas were released back on Monuriki Island. More than half of these iguanas (N=26) were radio-tracked for 56 days post-release in order to assess survivorship and help provide insights\ninto their short-term movement patterns. Of the 26 iguanas that were tracked, nearly 70% (N=18) were found after 56 days indicating excellent short-term survival. In February 2016, Tropical Cyclone Winston, a Category 5 storm passed through Fiji and devastated some of the tropical dry forest habitat on Monuriki. With sustained winds of up to 230 km/ hr nearly all of the canopy leaves from trees on Monuriki Island were removed and large amounts of debris covered the forest floor. Following the cyclone, a brief wildlife survey revealed Monuriki’s iguana and bird populations were still present. In 2017, the crested iguana captive breeding programme was brought to an end when 16 of the original 20 iguana founders, and an additional 32 captive bred off spring, were reintroduced onto Monuriki. This was accomplished, in part, due to successful breeding and reestablishment of the remaining wild iguanas on the island. Despite a major storm event, reestablishment likely resulted from reduced egg and hatchling predation by the rats, and excellent habitat recovery after goat removal. Overall these invasive species eradications have proven highly successful for the recovery of the iguanas, wedge-tailed shearwaters (Puffi nus pacifi cus), and several other non-target species including the banded rail (Gallirallus philippensis) and endangered Fijian peregrine falcon (Falco peregrinus). Furthermore, eradication of non-native species has also helped the recovery of the highly threatened tropical dry forest ecosystem in which these species exist.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Island invasives : scaling up to meet the challenge. Proceedings of the international conference on island invasives 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Island Invasives","conferenceDate":"July 10-14, 2017","conferenceLocation":"Dundee, Scotland","language":"English","publisher":"International Union for Conservation of Nature","doi":"10.2305/IUCN.CH.2019.SSC-OP.62.en","usgsCitation":"Fisher, R.N., Niukula, J., Harlow, P.S., Rasalato, S., Chand, R., Thaman, B., Seniloli, E., Vadada, J., Cranwell, S., Brown, J.J., Lovich, K., and Thomas-Moko, N., 2019, Community-based conservation and recovery of native species on Monuriki Island, Fiji, in Island invasives : scaling up to meet the challenge. Proceedings of the international conference on island invasives 2017, Dundee, Scotland, July 10-14, 2017, p. 552-557, https://doi.org/10.2305/IUCN.CH.2019.SSC-OP.62.en.","productDescription":"6 p.","startPage":"552","endPage":"557","ipdsId":"IP-099007","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467545,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.2305/iucn.ch.2019.ssc-op.62.en","text":"External Repository"},{"id":365007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Fiji","otherGeospatial":"Monuriki island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 177.02755451202393,\n -17.613081152444575\n ],\n [\n 177.04285383224487,\n -17.613081152444575\n ],\n [\n 177.04285383224487,\n -17.604838900564843\n ],\n [\n 177.02755451202393,\n -17.604838900564843\n ],\n [\n 177.02755451202393,\n -17.613081152444575\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-04","publicationStatus":"PW","contributors":{"authors":[{"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":764822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niukula, Jone","contributorId":150083,"corporation":false,"usgs":false,"family":"Niukula","given":"Jone","affiliations":[{"id":17904,"text":"National Trust of Fiji Islands, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harlow, Peter S.","contributorId":150093,"corporation":false,"usgs":false,"family":"Harlow","given":"Peter","email":"","middleInitial":"S.","affiliations":[{"id":17909,"text":"Taronga Zoo, Mosman, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":764824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rasalato, Sia","contributorId":150087,"corporation":false,"usgs":false,"family":"Rasalato","given":"Sia","affiliations":[{"id":17907,"text":"Birdlife Pacific, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chand, Ramesh","contributorId":150082,"corporation":false,"usgs":false,"family":"Chand","given":"Ramesh","email":"","affiliations":[{"id":17903,"text":"Kula Eco Park, Sigatoka Fiji","active":true,"usgs":false}],"preferred":false,"id":764826,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thaman, Baravi","contributorId":150088,"corporation":false,"usgs":false,"family":"Thaman","given":"Baravi","email":"","affiliations":[{"id":17904,"text":"National Trust of Fiji Islands, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764827,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seniloli, Elenoa","contributorId":150089,"corporation":false,"usgs":false,"family":"Seniloli","given":"Elenoa","email":"","affiliations":[{"id":17907,"text":"Birdlife Pacific, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764828,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vadada, Joeli","contributorId":150084,"corporation":false,"usgs":false,"family":"Vadada","given":"Joeli","affiliations":[{"id":17904,"text":"National Trust of Fiji Islands, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764829,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cranwell, Steve","contributorId":150091,"corporation":false,"usgs":false,"family":"Cranwell","given":"Steve","email":"","affiliations":[{"id":17907,"text":"Birdlife Pacific, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":764830,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brown, J. Jed","contributorId":174718,"corporation":false,"usgs":false,"family":"Brown","given":"J.","email":"","middleInitial":"Jed","affiliations":[],"preferred":false,"id":764831,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lovich, Kim","contributorId":150085,"corporation":false,"usgs":false,"family":"Lovich","given":"Kim","email":"","affiliations":[{"id":17905,"text":"San Diego Zoo Global, San Diego, CA, USA","active":true,"usgs":false}],"preferred":false,"id":764832,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Thomas-Moko, Nunia","contributorId":198737,"corporation":false,"usgs":false,"family":"Thomas-Moko","given":"Nunia","email":"","affiliations":[],"preferred":false,"id":764833,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70203033,"text":"fs20193012 - 2019 - Assessment of tight-oil and tight-gas resources in the Junggar and Santanghu Basins of Northwestern China, 2018","interactions":[],"lastModifiedDate":"2019-06-11T08:07:25","indexId":"fs20193012","displayToPublicDate":"2019-06-10T11:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3012","displayTitle":"Assessment of Tight-Oil and Tight-Gas Resources in the Junggar and Santanghu Basins of Northwestern China, 2018","title":"Assessment of tight-oil and tight-gas resources in the Junggar and Santanghu Basins of Northwestern China, 2018","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 241 million barrels of tight oil and 10.1 trillion cubic feet of tight gas in the Junggar and Santanghu Basins of northwestern China.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193012","usgsCitation":"Potter, C.J., Schenk, C.J., Mercier, T.J., Tennyson, M.E., Finn, T.M., Woodall, C.A., Leathers-Miller, H.M., Marra, K.R., Le, P.A., Drake, R.M., II, Brownfield, M.E., and Pitman, J.K., 2019, Assessment of tight-oil and tight-gas resources in the Junggar and Santanghu Basins of northwestern China, 2018: U.S. Geological Survey Fact Sheet 2019–3012, 2 p., https://doi.org/10.3133/fs20193012.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-103187","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":364485,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3012/fs20193012.pdf","text":"Report","size":"512 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3012"},{"id":364484,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3012/coverthb.jpg"}],"country":"China, Kazakhstan, Mongolia, Russia","otherGeospatial":"Junggar Basin, Santanghu Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 79.9365234375,\n 42.47209690919285\n ],\n [\n 96.26220703125,\n 42.47209690919285\n ],\n [\n 96.26220703125,\n 49.224772722794825\n ],\n [\n 79.9365234375,\n 49.224772722794825\n ],\n [\n 79.9365234375,\n 42.47209690919285\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046