{"pageNumber":"281","pageRowStart":"7000","pageSize":"25","recordCount":40783,"records":[{"id":70210600,"text":"70210600 - 2020 - NGWA  Groundwater Modeling Advisory Panel Survey on the Use of Uncertainty Analysis in Groundwater Modeling","interactions":[],"lastModifiedDate":"2020-06-11T16:39:24.596411","indexId":"70210600","displayToPublicDate":"2020-03-31T11:38:59","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"NGWA  Groundwater Modeling Advisory Panel Survey on the Use of Uncertainty Analysis in Groundwater Modeling","docAbstract":"<p><span>This white paper provides the results of a survey by members of the NGWA Groundwater Modeling Advisory Panel to assess the use of uncertainty analysis in groundwater modeling.</span><br><br><span>The objective of the survey was to improve understanding of the use of uncertainty analysis in practical groundwater modeling projects subject to real-world constraints, such as limited budgets and tight deadlines.</span><br></p>","language":"English","publisher":"NGWA Press","usgsCitation":"Luis, S., Schulmeyer, P., Bean, D., Newman, C.P., Puddephatt, D., Sheets, R.A., and Hunt, R., 2020, NGWA  Groundwater Modeling Advisory Panel Survey on the Use of Uncertainty Analysis in Groundwater Modeling, 8 p.","productDescription":"8 p.","ipdsId":"IP-110154","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":375524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375515,"type":{"id":15,"text":"Index Page"},"url":"https://my.ngwa.org/NC__Product?id=a182J00000EHUMXQA5"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Luis, Steve","contributorId":225206,"corporation":false,"usgs":false,"family":"Luis","given":"Steve","email":"","affiliations":[],"preferred":false,"id":790761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulmeyer, Pete","contributorId":225207,"corporation":false,"usgs":false,"family":"Schulmeyer","given":"Pete","email":"","affiliations":[],"preferred":false,"id":790762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bean, David","contributorId":225208,"corporation":false,"usgs":false,"family":"Bean","given":"David","email":"","affiliations":[],"preferred":false,"id":790763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puddephatt, Dan","contributorId":225209,"corporation":false,"usgs":false,"family":"Puddephatt","given":"Dan","email":"","affiliations":[],"preferred":false,"id":790765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sheets, Rodney A. 0000-0003-0063-4903 rasheets@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-4903","contributorId":204327,"corporation":false,"usgs":true,"family":"Sheets","given":"Rodney","email":"rasheets@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":790766,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, Randall J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":16118,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790767,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209346,"text":"70209346 - 2020 - Bottom trawl assessment of Lake Ontario prey fishes, 2019","interactions":[],"lastModifiedDate":"2023-05-09T14:16:35.303706","indexId":"70209346","displayToPublicDate":"2020-03-31T10:28:04","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"title":"Bottom trawl assessment of Lake Ontario prey fishes, 2019","docAbstract":"Multi-agency, collaborative Lake Ontario bottom trawl surveys provide information for decision making related to Fish Community Objectives including predator-prey balance and understanding prey fish community diversity. In 2019, bottom trawl surveys in April (n = 252 tows) and October (n = 160 tows) sampled main lake and embayments at depths from 5–226 m. Combined, the surveys captured 283,383 fish from 39 species. Alewife were 67% of the total catch by number while round goby, deepwater sculpin, and rainbow smelt comprised 13, 10, and 4% of the catch, respectively. In 2019, the lake-wide adult alewife biomass index declined from 2018 and age-1 biomass, a measure of reproductive success the previous year, was low. Year-class catch curve models identified years where estimates from surveys conducted only in U.S. waters were biased, potentially due to a greater portion of the alewife population inhabiting unsampled Canadian waters. Accounting for spatial survey bias, these model estimates indicated the 2019 adult alewife biomass was the lowest value in the 42-year time series. Models also identified the extent to which age-1 alewife biomass was historically underestimated, however lake-wide results from 2016-2019 appear less biased. If below-average year-class estimates from 2017 and 2018 are accurate, adult alewife biomass will continue to decline in 2020. Abundance indices for other pelagic prey fishes such as rainbow smelt, threespine stickleback, emerald shiner, and cisco were low and similar to 2018 values. Pelagic prey fish diversity is low because a single species, alewife, dominates the community. Deepwater sculpin and round goby were the most abundant demersal (bottom-oriented) prey fishes in 2019. Despite declines in slimy sculpin and other nearshore prey fishes, demersal prey fish community diversity has increased as deepwater sculpin and round goby comprise more even portions of the community. New experimental trawl sites in embayment habitats generally captured more species, a higher proportion of native species, and higher densities relative to main lake habitats. In 2019, a western tubenose goby (Proterorhinus semilunaris) was captured for the first time in the trawl surveys.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"NYSDEC Lake Ontario Annual Report 2019","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"New York State Department of Environmental Conservation","usgsCitation":"Weidel, B., O’Malley, B., Connerton, M., Holden, J.P., and Osborne, C., 2020, Bottom trawl assessment of Lake Ontario prey fishes, 2019: NYSDEC Lake Ontario Annual Report , 25 p.","productDescription":"25 p.","startPage":"12-1","endPage":"12-25","ipdsId":"IP-116906","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":382600,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382599,"rank":2,"type":{"id":15,"text":"Index 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Conservation","active":true,"usgs":false}],"preferred":false,"id":786237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, Jeremy P.","contributorId":190415,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":786238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osborne, Christopher","contributorId":223772,"corporation":false,"usgs":false,"family":"Osborne","given":"Christopher","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":786239,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70229999,"text":"70229999 - 2020 - Mapping, exploration, and characterization of the California continental margin and associated features from the California-Oregon border to Ensenada, Mexico","interactions":[],"lastModifiedDate":"2022-03-23T14:47:44.40071","indexId":"70229999","displayToPublicDate":"2020-03-31T09:38:00","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mapping, exploration, and characterization of the California continental margin and associated features from the California-Oregon border to Ensenada, Mexico","docAbstract":"<p>Priority Geographic Area: Both within and outside US Exclusive Economic Zone (EEZ). California continental margin. This area includes and continues south of the geographic area captured in the Watt et al. white paper. </p><p>Description of Priority Area: The California continental margin, from the narrow shelf to abyssal depths, contains diverse seafloor features that influence benthic community types, biological connectivity, and is associated with significant seafloor geohazards. These complex features include marginal basins, depositional slopes, submarine canyons, ridges, and seamounts, and seep environments as a result of fluid seeps along active faults. Water column characteristics are variable, with steep gradients in current velocities, which influence sediment transport, from depositional fans (slow flow, muddy) to submarine canyons and seamounts (high currents, rocky, rugged terrain). These features and associated environments can influence the distribution of deep-sea habitats, including coral and sponge communities. South of the region described in the Watt et al. and Demopoulos et al. white papers, plentiful seeps occur from northern California down to the southern California Borderland. However, the underlying foundational geology associated with these seeps varies along the margin, changing with contrasting tectonic settings, from convergent tectonics to regions dominated by strike-slip faulting (Barry et al. 1996; Paull et al. 2008; Bernardo and Smith 2010; Maloney et al. 2015). For seeps located off southern California, the relationship to strike-slip fault systems may influence the distribution of seep fluid expulsion sites and associated seep habitats (Maloney et al. 2015; Grupe et al. 2015; Conrad et al., 2017), where transpression plays a key role in formation and localization of fluid seeps. Further exploration is required in order to understand these connections. Several submarine canyons intersect the shelf within this region, serving as important channels of energy and transport of sediment from shelf to slope depths. Canyons are typically associated with high currents, turbidity flows, steep and rugged terrain, and high food availability, all of which structures canyon communities and supports hotspots of biodiversity. Specific canyons along the California margin that have been well studied include Scripps and La Jolla Canyons off San Diego, and Monterey Canyon off Monterey, but many more remain relatively unexplored. Commercially important species of fish and invertebrates have been found associated with canyons, as well as deep-sea corals and sponges (e.g., Barry et al. 1996). However, in contrast to their Atlantic counterparts (e.g., through ACUMEN and ASPIRE campaigns) there has been a dearth of exploration and characterization of canyons along the California margin. A number of questions remain regarding canyon and slope wall stability and associated geohazards, plus, how the canyons connect and influence the broader regional biogeography of benthic communities is unknown. Due to their topography, seamounts along the California margin are characterized by steep slopes, large areas of rocky substrate, and high currents. Hydrological complexity is associated with seamounts given they impinge different watermasses, depending on depth range. This heterogeneity yields complex and diverse benthic communities, including commercially important fishes (e.g., Tracey et al., 2012). The geology of Davidson, Pioneer, San Juan, and Rodriquez Seamounts has received considerable study (e.g., Davis et al., 2010) but other seamounts are less known, including how they are biologically and ecologically connected. For example, research comparing the benthic communities associated with Rodriguez and San Juan Seamounts, located outside of the Channel Islands National Marine Sanctuary and within the proposed Chumash Heritage National Marine Sanctuary, to communities found within the sanctuary is critical for managing and protecting resources within the sanctuary and modifying sanctuary boundaries. Exploration would yield the data needed to delineate and characterize essential fish habitats, and deep-sea coral and sponge communities, thus directly connecting the utility of exploration and discovery to decision making. The southern California Borderland is a geomorphologically heterogeneous area created by a complex network of faults, containing deep basins separated by shallow ridges and islands. Persistent fault-related deformation has created complex features, such as exposure of scarps and uplift rocks/ridges, seeps, erosional terraces, hydrate mounds, and mud volcanoes that provide support for thriving benthic communities. That said, significant oxygen minimum zones and low aragonite saturation states persist within several of the basin environments, influencing energy flow, community ecology, and calcification. For example, the combined effects of hypoxia and acidification pose serious threats to marine organisms and biological resources along the California margin. Mapping and exploration of the extensive faults and fault scarps can help constrain historical earthquake activity. But many questions remain regarding how the underlying geology and geological processes have shaped the biological communities.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Workshop to identify national ocean exploration priorities in the Pacific: White paper submissions","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Consortium for Ocean Leadership","usgsCitation":"Demopoulos, A., Prouty, N.G., Brothers, D.S., Watt, J., Conrad, J.E., Chaytor, J., and Caldow, C., 2020, Mapping, exploration, and characterization of the California continental margin and associated features from the California-Oregon border to Ensenada, Mexico, <i>in</i> Workshop to identify national ocean exploration priorities in the Pacific: White paper submissions, p. 65-68.","productDescription":"4 p.","startPage":"65","endPage":"68","ipdsId":"IP-121854","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research 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nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":838610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":838611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watt, Janet 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jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":838614,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caldow, Chris","contributorId":270136,"corporation":false,"usgs":false,"family":"Caldow","given":"Chris","affiliations":[{"id":56094,"text":"NOAA, NOS, Channel Islands National Marine Sanctuary, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":838615,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209735,"text":"70209735 - 2020 - Steps to develop early warning systems and future scenarios of wave-driven flooding along coral reef-lined coasts","interactions":[],"lastModifiedDate":"2020-04-23T14:45:11.680131","indexId":"70209735","displayToPublicDate":"2020-03-31T09:27:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Steps to develop early warning systems and future scenarios of wave-driven flooding along coral reef-lined coasts","docAbstract":"<p><span>Tropical coral reef-lined coasts are exposed to storm wave-driven flooding. In the future, flood events during storms are expected to occur more frequently and to be more severe due to sea-level rise, changes in wind and weather patterns, and the deterioration of coral reefs. Hence, disaster managers and coastal planners are in urgent need of decision-support tools. In the short-term, these tools can be applied in Early Warning Systems (EWS) that can help to prepare for and respond to impending storm-driven flood events. In the long-term, future scenarios of flooding events enable coastal communities and managers to plan and implement adequate risk-reduction strategies. Modeling tools that are used in currently available coastal flood EWS and future scenarios have been developed for open-coast sandy shorelines, which have only limited applicability for coral reef-lined shorelines. The tools need to be able to predict local sea levels, offshore waves, as well as their nearshore transformation over the reefs, and translate this information to onshore flood levels. In addition, future scenarios require long-term projections of coral reef growth, reef composition, and shoreline change. To address these challenges, we have formed the UFORiC (Understanding Flooding of Reef-lined Coasts) working group that outlines its perspectives on data and model requirements to develop EWS for storms and scenarios specific to coral reef-lined coastlines. It reviews the state-of-the-art methods that can currently be incorporated in such systems and provides an outlook on future improvements as new data sources and enhanced methods become available.</span></p>","language":"English","publisher":"Frontiers in Marine Science","doi":"10.3389/fmars.2020.00199","collaboration":"","usgsCitation":"Winter, G., Storlazzi, C.D., Vitousek, S., van Dongeren, A., McCall, R.T., Hoeke, R., Skirving, W., Marra, J., Reyns, J., Aucan, J., Widlansky, M.J., Becker, J., Perry, C., Masselink, G., Lowe, R., Ford, M., Pomeroy, A., Mendez, F.J., Rueda, A.C., and Wandres, M., 2020, Steps to develop early warning systems and future scenarios of wave-driven flooding along coral reef-lined coasts: Frontiers in Marine Science, v. 7, https://doi.org/10.3389/fmars.2020.00199.","productDescription":"199, 8 p.","startPage":"","ipdsId":"IP-108058","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":787706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":787707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Dongeren, Ap","contributorId":149002,"corporation":false,"usgs":false,"family":"van Dongeren","given":"Ap","email":"","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":787708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCall, Robert 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Marine and Atmospheric Research, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":787715,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Becker, Janet","contributorId":224305,"corporation":false,"usgs":false,"family":"Becker","given":"Janet","email":"","affiliations":[{"id":16619,"text":"UCSD","active":true,"usgs":false}],"preferred":false,"id":787716,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Perry, Chris","contributorId":224306,"corporation":false,"usgs":false,"family":"Perry","given":"Chris","email":"","affiliations":[{"id":40853,"text":"UE","active":true,"usgs":false}],"preferred":false,"id":787717,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Masselink, 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,{"id":70215424,"text":"70215424 - 2020 - Determinants and consequences of dispersal in vertebrates with complex life cycles: a review of pond-breeding amphibians","interactions":[],"lastModifiedDate":"2020-10-20T14:06:59.937337","indexId":"70215424","displayToPublicDate":"2020-03-31T09:02:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3214,"text":"The Quarterly Review of Biology","active":true,"publicationSubtype":{"id":10}},"title":"Determinants and consequences of dispersal in vertebrates with complex life cycles: a review of pond-breeding amphibians","docAbstract":"<p><span>Dispersal is a central process in ecology and evolution. It strongly influences the dynamics of spatially structured populations, by affecting population growth rate and local colonization-extinction processes. Dispersal can also influence evolutionary processes because it determines rates and patterns of gene flow in spatially structured populations and is closely linked to local adaptation. For these reasons, dispersal has received considerable attention from ecologists and evolutionary biologists. However, although it has been studied extensively in taxa such as birds and mammals, much less is known about dispersal in vertebrates with complex life cycles such as pond-breeding amphibians. Over the past two decades, researchers have taken an interest in amphibian dispersal and initiated both fundamental and applied studies, using a broad range of experimental and observational approaches. This body of research reveals complex dispersal patterns, causations and syndromes, with dramatic consequences for the demography and genetics of amphibian populations. In this review, our goals are to (1) redefine and clarify the concept of amphibian dispersal, (2) review current knowledge about the effects of individual (i.e., condition-dependent dispersal) and environmental (i.e., context-dependent dispersal) factors during the three stages of dispersal (i.e., emigration, immigration, transience), (3) identify the demographic and genetic consequences of dispersal in spatially structured amphibian populations, and (4) propose new research avenues to extend our understanding of amphibian dispersal. In particular, we emphasize the need to (1) quantify dispersal rate and distance rigorously using suitable model systems, (2) investigate the genetic basis and dispersal evolution patterns, and (3) examine dispersal-related eco-evolutionary dynamics. These proposed research avenues tap from the recent advances in quantitative and molecular methods and have the potential to improve our understanding of dispersal in organisms with complex life cycles.</span></p>","language":"English","publisher":"University of Chicago Press Journals","doi":"10.1086/707862","usgsCitation":"Cayuela, H., Valenzuela-Sanchez, V., Teulier, L., Martinez-Solano, I., Lena, J., Merila, J., Muths, E., Shine, R., Quay, L., Denoel, M., Clobert, J., and Schmidt, B., 2020, Determinants and consequences of dispersal in vertebrates with complex life cycles: a review of pond-breeding amphibians: The Quarterly Review of Biology, v. 95, no. 1, https://doi.org/10.1086/707862.","ipdsId":"IP-101192","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":457219,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://univ-lyon1.hal.science/hal-02492117","text":"External Repository"},{"id":379542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cayuela, H","contributorId":243362,"corporation":false,"usgs":false,"family":"Cayuela","given":"H","affiliations":[{"id":48698,"text":"Department of Biology, University Laval, Pavillon Charles-Eugène-Marchand, Avenue de la Médecine, Quebec City, Canada","active":true,"usgs":false}],"preferred":false,"id":802146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valenzuela-Sanchez, V","contributorId":243363,"corporation":false,"usgs":false,"family":"Valenzuela-Sanchez","given":"V","email":"","affiliations":[{"id":48699,"text":"Instituto de Ciencias Ambientales y Evolutivas, Facultad de Ciencias, Universidad Austral de Chile, Avda. Rector Eduardo Morales s/n, Edificio Pugín, Valdivia, Chile","active":true,"usgs":false}],"preferred":false,"id":802147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teulier, L","contributorId":243364,"corporation":false,"usgs":false,"family":"Teulier","given":"L","email":"","affiliations":[{"id":48700,"text":"UMR 5023 LEHNA, Laboratoire d’Ecologie des Hydrosystèmes Naturels et Anthropisés, 69100 Villeurbanne, France","active":true,"usgs":false}],"preferred":false,"id":802148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martinez-Solano, I","contributorId":243365,"corporation":false,"usgs":false,"family":"Martinez-Solano","given":"I","affiliations":[{"id":48701,"text":"Departamento de Biodiversidad y Biología Evolutiva, Museo Nacional de Ciencias Naturales, c/ José Gutiérrez Abascal 2, 28006 Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":802149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lena, J","contributorId":243366,"corporation":false,"usgs":false,"family":"Lena","given":"J","affiliations":[{"id":48700,"text":"UMR 5023 LEHNA, Laboratoire d’Ecologie des Hydrosystèmes Naturels et Anthropisés, 69100 Villeurbanne, France","active":true,"usgs":false}],"preferred":false,"id":802150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Merila, J","contributorId":243367,"corporation":false,"usgs":false,"family":"Merila","given":"J","affiliations":[{"id":48702,"text":"Ecological Genetics Research Unit, Research Programme in Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, Department of Biosciences, University of Helsinki, Helsinki, Finland","active":true,"usgs":false}],"preferred":false,"id":802151,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":243368,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":802152,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shine, R","contributorId":243369,"corporation":false,"usgs":false,"family":"Shine","given":"R","email":"","affiliations":[{"id":48703,"text":"School of Life and Environmental Sciences A08, University of Sydney, Sydney, New South Wales 2006, Australia","active":true,"usgs":false}],"preferred":false,"id":802153,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Quay, L","contributorId":243370,"corporation":false,"usgs":false,"family":"Quay","given":"L","email":"","affiliations":[{"id":48704,"text":"Nature, Ecology and Conservation, 73000 Montagnole, France","active":true,"usgs":false}],"preferred":false,"id":802154,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Denoel, M","contributorId":243371,"corporation":false,"usgs":false,"family":"Denoel","given":"M","email":"","affiliations":[{"id":48705,"text":"University of Liège, Liège, Belgium","active":true,"usgs":false}],"preferred":false,"id":802155,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clobert, J","contributorId":243372,"corporation":false,"usgs":false,"family":"Clobert","given":"J","affiliations":[{"id":48706,"text":"Theoretical and Experimental Ecology Station (UMR 5371), National Centre for Scientific Research (CNRS), Paul Sabatier University (UPS), Moulis, France","active":true,"usgs":false}],"preferred":false,"id":802156,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schmidt, B.","contributorId":177353,"corporation":false,"usgs":false,"family":"Schmidt","given":"B.","affiliations":[],"preferred":false,"id":802157,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70209324,"text":"70209324 - 2020 - Population and harvest dynamics of midcontinent sandhill cranes","interactions":[],"lastModifiedDate":"2020-06-04T17:07:29.807187","indexId":"70209324","displayToPublicDate":"2020-03-31T08:29:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Population and harvest dynamics of midcontinent sandhill cranes","docAbstract":"<p>Sandhill cranes (<i>Antigone canadensis</i>) inhabiting the midcontinent of North America have been hunted since the 1960s under management goals of maintaining abundance, retaining geographic distribution, and maximizing sustainable harvest. Some biologists have raised concerns regarding harvest sustainability because sandhill cranes have lower reproductive rates than other game birds. We summarized demographic information in an age-structured matrix model to better understand population dynamics and harvest. Population indices and recovered harvest since the early 1980s suggest midcontinent sandhill cranes have experienced an average long-term annual growth of 0.9%; meanwhile, harvest has increased 1.8% annually. We found that adult survival and recruitment rates estimated from field data required modest adjustments (1-3%) so that model-derived growth rates matched growth estimated from a long-term survey (0.887 adult survival and 0.199 females per breeding female). Considering 0.9% long-term annual growth, sandhill cranes could be harvested at a rate of 6.6% if harvest was additive to natural mortality (assumed to be 0.05) or 11.3% if harvest and natural mortality was compensatory. Life-history characteristics for long-lived organisms and demographic evidence suggested that hunter harvest was primarily additive. Differential harvest rates of segments of midcontinent sandhill cranes derived from differential exposure to hunting suggested potentially unsustainable harvest for greater sandhill cranes (<i>A. c. tabida</i>) from 2 breeding segments. Overall, demographic evidence suggests that the harvest of midcontinent sandhill cranes has been managed sustainably. Monitoring activities that reduce nuisance variation and estimate vital and harvest rates by subspecies would support continued management of sandhill cranes that are of great interest to hunters and bird watchers.</p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21865","usgsCitation":"Pearse, A.T., Sargeant, G., Krapu, G., and Brandt, D.A., 2020, Population and harvest dynamics of midcontinent sandhill cranes: Journal of Wildlife Management, v. 84, no. 5, p. 902-910, https://doi.org/10.1002/jwmg.21865.","productDescription":"9 p.","startPage":"902","endPage":"910","ipdsId":"IP-111950","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":437044,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WMRBMV","text":"USGS data release","linkHelpText":"Fecundity data for midcontinent sandhill cranes, 2003-2006"},{"id":373700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Central Platte River Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.10653686523438,\n              40.96901127616362\n            ],\n            [\n              -98.14910888671875,\n              41.018764807703505\n            ],\n            [\n              -98.68125915527344,\n              40.783141078983206\n            ],\n            [\n              -98.98475646972656,\n              40.704586878965245\n            ],\n            [\n              -99.16053771972656,\n              40.699901911003046\n            ],\n            [\n              -99.17289733886717,\n              40.63167229840464\n            ],\n            [\n              -98.8275146484375,\n              40.63688312646408\n            ],\n            [\n              -98.36814880371094,\n              40.77742172100596\n            ],\n            [\n              -98.20335388183594,\n              40.87146853153461\n            ],\n            [\n              -98.10653686523438,\n              40.96901127616362\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":786073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sargeant, Glen A. 0000-0003-3845-8503","orcid":"https://orcid.org/0000-0003-3845-8503","contributorId":219538,"corporation":false,"usgs":true,"family":"Sargeant","given":"Glen A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":786074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krapu, Gary 0000-0001-8482-6130 gkrapu@usgs.gov","orcid":"https://orcid.org/0000-0001-8482-6130","contributorId":168791,"corporation":false,"usgs":true,"family":"Krapu","given":"Gary","email":"gkrapu@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":786075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, David A. 0000-0001-9786-307X dbrandt@usgs.gov","orcid":"https://orcid.org/0000-0001-9786-307X","contributorId":149929,"corporation":false,"usgs":true,"family":"Brandt","given":"David","email":"dbrandt@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":786076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211587,"text":"70211587 - 2020 - Herring Disease Program II 19120111-E - 2019 Annual Report","interactions":[],"lastModifiedDate":"2020-08-04T13:29:33.315845","indexId":"70211587","displayToPublicDate":"2020-03-31T08:28:40","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Herring Disease Program II 19120111-E - 2019 Annual Report","docAbstract":"<p>We will investigate fish health factors that may be contributing to the failed recovery of Pacific herring populations in Prince William Sound. Field samples will provide infection and disease prevalence data from Prince William Sound and Sitka Sound that will inform the ASA model, serological data that will indicate the prior exposure history and future susceptibility of herring to VHS, and diet information that will provide insights into the unusually high prevalence of Ichthyophonus that occurs in juvenile herring from Cordova Harbor. Laboratory studies will validate the newly-developed plaque neutralization assay as a quantifiable measure of herd immunity against VHS, provide further understanding of disease cofactors including temperature and salinity, investigate the possibility of an invertebrate host for Ichthyophonus, and assess the virulence of other endemic pathogens to Pacific herring. Information from the field and laboratory studies will be integrated into the current ASA model, a novel ASA-type model that is based on the immune status of herring age cohorts.</p>","language":"English","publisher":"Exxon Valdez Oil Spill Trustee Council","collaboration":"EVOSTC - Exxon Valdez Oil Spill Council","usgsCitation":"Hershberger, P., and Purcell, M.K., 2020, Herring Disease Program II 19120111-E - 2019 Annual Report, 11 p.","productDescription":"11 p.","ipdsId":"IP-117369","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":377007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":376990,"type":{"id":15,"text":"Index Page"},"url":"https://evostc.state.ak.us/restoration-projects/project-search/hrm-program-herring-disease-program-ii-19120111-e/"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound, Sitka Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -139.130859375,\n              55.3791104480105\n            ],\n            [\n              -131.396484375,\n              55.3791104480105\n            ],\n            [\n              -131.396484375,\n              59.130863097255904\n            ],\n            [\n              -139.130859375,\n              59.130863097255904\n            ],\n            [\n              -139.130859375,\n              55.3791104480105\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -151.69921875,\n              59.22093407615045\n            ],\n            [\n              -143.7890625,\n              59.22093407615045\n            ],\n            [\n              -143.7890625,\n              61.897577621605016\n            ],\n            [\n              -151.69921875,\n              61.897577621605016\n            ],\n            [\n              -151.69921875,\n              59.22093407615045\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":794725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":794726,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211983,"text":"70211983 - 2020 - Regionally Optimized Background Earthquake Rates from ETAS (ROBERE) for probabilistic seismic hazard assessment","interactions":[],"lastModifiedDate":"2020-08-14T13:38:18.490546","indexId":"70211983","displayToPublicDate":"2020-03-31T08:12:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Regionally Optimized Background Earthquake Rates from ETAS (ROBERE) for probabilistic seismic hazard assessment","docAbstract":"<p><span>We use an epidemic‐type aftershock sequence (ETAS) based approach to develop a regionally optimized background earthquake rates from ETAS (ROBERE) method for probabilistic seismic hazard assessment. ROBERE fits parameters to the full seismicity catalog for a region with maximum‐likelihood estimation, including uncertainty. It then averages the earthquake rates over a suite of catalogs from which foreshocks and aftershocks have been removed using stochastic declustering while maintaining the same Gaussian smoothing currently used for the U.S. Geological Survey National Seismic Hazard Model (NSHM). The NSHM currently determines these rates by smoothing a single catalog from which foreshocks and aftershocks have been removed using the method of&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf12\">Gardner and Knopoff (1974</a><span>; hereafter, GK74). The parameters used in GK74 were determined from subjectively identified aftershock sequences, unlike ROBERE, in which both background rate and aftershock triggering parameters are objectively fitted. A major difference between the impacts of the two methods is GK74 significantly reduces the&nbsp;</span><i><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot;>b</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">b</span></span></span></span></span></span></i><span>‐value, a critical value for seismic hazard analysis, whereas ROBERE maintains the original&nbsp;</span><i><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot;>b</mi></math>\"><span id=\"MathJax-Span-4\" class=\"math\"><span><span id=\"MathJax-Span-5\" class=\"mrow\"><span id=\"MathJax-Span-6\" class=\"mi\">b</span></span></span></span></span></span></i><span>‐value from the full catalog. We apply these methods to the induced seismicity in Oklahoma and Kansas and tectonic activity in the San Francisco Bay Region. Using GK74 gives lower overall earthquake rates but estimates higher hazard due to the reduction in the&nbsp;</span><i><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot;>b</mi></math>\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mi\">b</span></span></span></span></span></span></i><span>‐value. ROBERE provides higher earthquake rates, at the magnitude of completeness, but lower hazard because it does not alter the&nbsp;</span><i><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot;>b</mi></math>\"><span id=\"MathJax-Span-10\" class=\"math\"><span><span id=\"MathJax-Span-11\" class=\"mrow\"><span id=\"MathJax-Span-12\" class=\"mi\">b</span></span></span></span></span></span></i><span>‐value. We test two other declustering methods that produce results closer to ROBERE but do not use objectively fit parameters, include uncertainty, and may not work as well in other areas. We suggest adopting ROBERE for the NSHM so that our hazard estimates are based on an objective analysis, including uncertainty, and do not depend strongly on potentially biased </span><i><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot;>b</mi></math>\"><span class=\"MJX_Assistive_MathML\">b</span></span></span></i><span>‐values, which was never the goal of the existing methodology.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190279","usgsCitation":"Llenos, A.L., and Michael, A.J., 2020, Regionally Optimized Background Earthquake Rates from ETAS (ROBERE) for probabilistic seismic hazard assessment: Bulletin of the Seismological Society of America, v. 110, no. 3, p. 1172-1190, https://doi.org/10.1785/0120190279.","productDescription":"18 p.","startPage":"1172","endPage":"1190","ipdsId":"IP-107679","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":377485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":796093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":796094,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215984,"text":"70215984 - 2020 - Nexus between wildfire, climate change and population growth in California","interactions":[],"lastModifiedDate":"2020-11-02T13:56:06.710675","indexId":"70215984","displayToPublicDate":"2020-03-31T07:53:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1693,"text":"Fremontia","active":true,"publicationSubtype":{"id":10}},"title":"Nexus between wildfire, climate change and population growth in California","docAbstract":"Since the year 2000 California has experienced a remarkable upsurge in wildfires. Over five million hectares have burned in the last 20 years, which is double the area burned in the previous two decades. Much of this increase has been driven by large fires of more than 50,000 hectares that cause catastrophic losses of lives and property (Keeley and Syphard 2019). This increased fire activity has been correlated with an increase in average temperature over this same period, leading many observers to assert that global climate change must be playing a major role. Climate models forecast continued warming and thus some have suggested these catastrophic fires are the “new normal” or the “new abnormal” (Birnbaum 2018). In contrast, others have declared that these fires are the result of ‘forest mismanagement’ (Cranley 2018) and this has stimulated renewed interest in fuel reduction (Office of Governor 2019). It’s almost as though these opinions aren’t even in reference to the same fires, and as described below, there is some validity to this assertion.","language":"English","publisher":"California Native Plant Society","usgsCitation":"Keeley, J., and Syphard, A.D., 2020, Nexus between wildfire, climate change and population growth in California: Fremontia, v. 47, no. 2, p. 4-13.","productDescription":"10 p.","startPage":"4","endPage":"13","ipdsId":"IP-113724","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":380017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":380016,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://abgt.assembly.ca.gov/sites/abgt.assembly.ca.gov/files/2020%20Wildfire%2C%20Climate%20Change%20and%20Population.pdf"}],"country":"United 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,{"id":70209554,"text":"70209554 - 2020 - The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism","interactions":[],"lastModifiedDate":"2020-04-14T12:56:27.107364","indexId":"70209554","displayToPublicDate":"2020-03-31T07:53:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5947,"text":"Journal of Artificial Societies and Social Simulation","active":true,"publicationSubtype":{"id":10}},"title":"The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism","docAbstract":"The Overview, Design concepts and Details (ODD) protocol for describing Individual- and Agent-Based Models (ABMs) is now widely accepted and used to document such models in journal articles. As a standardized document for providing a consistent, logical and readable account of the structure and dynamics of ABMs, some research groups also find it useful as a workflow for model design. Even so, there are still limitations to ODD that obstruct its more widespread adoption. Such limitations are discussed and addressed in this paper: the limited availability of guidance on how to use ODD; the length of ODD documents; limitations of ODD for highly complex models; lack of sufficient details of many ODDs to enable reimplementation without access to the model code; and the lack of provision for sections in the document structure covering model design rationale, the model’s underlying narrative, and the means by which the model’s fitness for purpose is evaluated. We document the steps we have taken to provide better guidance on: structuring complex ODDs and an ODD summary for inclusion in a journal article (with full details in supplementary material; Table 1); using ODD to point readers to relevant sections of the model code; update the document structure to include sections on model rationale and evaluation. We also further advocate the need for standard descriptions of simulation experiments and argue that ODD can in principle be used for any type of simulation model. Thereby ODD would provide a lingua franca for simulation modelling.","language":"English","publisher":"European Social Simulation Association","doi":"10.18564/jasss.4259","collaboration":"","usgsCitation":"Grimm, V., Railsback, S.F., Vincenot, C., Berger, U., Gallagher, C., DeAngelis, D., Edmonds, B., Ge, J., Giske, J., Groeneveld, J., Johnston, A., Miles, A., Nabe-Nielson, J., Polhill, J., Radchuk, V., Rohwader, M., Stillman, R.A., Theile, J., and Ayllon, D., 2020, The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism: Journal of Artificial Societies and Social Simulation, v. 23, no. 2, https://doi.org/10.18564/jasss.4259.","productDescription":"7, 20 p.","startPage":"","ipdsId":"IP-113576","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457227,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.18564/jasss.4259","text":"Publisher Index Page"},{"id":373947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grimm, Volker","contributorId":224014,"corporation":false,"usgs":false,"family":"Grimm","given":"Volker","affiliations":[{"id":26949,"text":"Helmholtz Centre for Environmental Research, Germany","active":true,"usgs":false}],"preferred":false,"id":786812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Railsback, Steven F.","contributorId":147528,"corporation":false,"usgs":false,"family":"Railsback","given":"Steven","email":"","middleInitial":"F.","affiliations":[{"id":16859,"text":"Lang, Railsback, and Associates","active":true,"usgs":false}],"preferred":false,"id":786813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vincenot, Christian","contributorId":224015,"corporation":false,"usgs":false,"family":"Vincenot","given":"Christian","email":"","affiliations":[{"id":40810,"text":"Kyoto University, Japan","active":true,"usgs":false}],"preferred":false,"id":786814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berger, Uta","contributorId":224016,"corporation":false,"usgs":false,"family":"Berger","given":"Uta","affiliations":[{"id":40811,"text":"TU Dresden, Institute of Forest Growth and Computer Science, Germany","active":true,"usgs":false}],"preferred":false,"id":786815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallagher, Cara","contributorId":224017,"corporation":false,"usgs":false,"family":"Gallagher","given":"Cara","email":"","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":786816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":220086,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":786817,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Edmonds, Bruce","contributorId":224018,"corporation":false,"usgs":false,"family":"Edmonds","given":"Bruce","email":"","affiliations":[{"id":40812,"text":"Manchester Metropolitan University, UK","active":true,"usgs":false}],"preferred":false,"id":786818,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ge, Jiaqi","contributorId":224019,"corporation":false,"usgs":false,"family":"Ge","given":"Jiaqi","email":"","affiliations":[{"id":40813,"text":"The James Hutton Institute, UK","active":true,"usgs":false}],"preferred":false,"id":786819,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Giske, Jarl","contributorId":224020,"corporation":false,"usgs":false,"family":"Giske","given":"Jarl","affiliations":[{"id":40814,"text":"University of Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":786820,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Groeneveld, Jurgen","contributorId":224021,"corporation":false,"usgs":false,"family":"Groeneveld","given":"Jurgen","email":"","affiliations":[{"id":40815,"text":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":786821,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnston, Alice S.A.","contributorId":224022,"corporation":false,"usgs":false,"family":"Johnston","given":"Alice S.A.","affiliations":[{"id":40816,"text":"University of Reading, UK","active":true,"usgs":false}],"preferred":false,"id":786822,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Miles, Alexander","contributorId":224023,"corporation":false,"usgs":false,"family":"Miles","given":"Alexander","email":"","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":786823,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nabe-Nielson, Jacob","contributorId":224024,"corporation":false,"usgs":false,"family":"Nabe-Nielson","given":"Jacob","email":"","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":786824,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Polhill, J. Gareth","contributorId":224025,"corporation":false,"usgs":false,"family":"Polhill","given":"J. Gareth","affiliations":[{"id":40813,"text":"The James Hutton Institute, UK","active":true,"usgs":false}],"preferred":false,"id":786825,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Radchuk, Viktoriia","contributorId":224026,"corporation":false,"usgs":false,"family":"Radchuk","given":"Viktoriia","email":"","affiliations":[{"id":40817,"text":"Leibniz Institute for Zoo and Wildlife Research, Germany","active":true,"usgs":false}],"preferred":false,"id":786826,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rohwader, Marie-Sophie","contributorId":224027,"corporation":false,"usgs":false,"family":"Rohwader","given":"Marie-Sophie","email":"","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":786827,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Stillman, Richard A.","contributorId":151661,"corporation":false,"usgs":false,"family":"Stillman","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":786828,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Theile, Jan","contributorId":224028,"corporation":false,"usgs":false,"family":"Theile","given":"Jan","email":"","affiliations":[{"id":40818,"text":"Georg August University of Göttingen, Germany","active":true,"usgs":false}],"preferred":false,"id":786829,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ayllon, Daniel","contributorId":224029,"corporation":false,"usgs":false,"family":"Ayllon","given":"Daniel","email":"","affiliations":[{"id":40819,"text":"Complutense University of Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":786830,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70217199,"text":"70217199 - 2020 - Final report: Southwestern Willow Flycatcher (Empidonax traillii extimus) and Western Yellow-billed Cuckoo (Coccyzus americanus occidentalis) surveys and habitat availability modeling on the Santa Clara River, California, 26 March 2020","interactions":[],"lastModifiedDate":"2021-01-12T13:42:39.164836","indexId":"70217199","displayToPublicDate":"2020-03-31T07:39:39","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Final report: Southwestern Willow Flycatcher (Empidonax traillii extimus) and Western Yellow-billed Cuckoo (Coccyzus americanus occidentalis) surveys and habitat availability modeling on the Santa Clara River, California, 26 March 2020","docAbstract":"Our project aimed to conduct population surveys for Southwestern Willow Flycatcher (Empidonax trailii extimus; SWFL) and Yellow-billed Cuckoo (Coccyzus americanus; YBCU) in 2018 and 2019, apply existing habitat models to illustrate and predict past, current, and future habitat suitabilities for these two species, and update and standardize classification and mapping of riparian vegetation to reflect recent conditions   along the lower 50 miles of the Santa Clara River.  Models developed by Hatten and Paradzick (2003), Hatten, et al. (2010), Hatten (2016), and Johnson et al. (2016) were applied to the SCR to provide California Department of Fish and Wildlife (CDFW) and the U.S. Fish and Wildlife Service (USFWS) with useful tools for management of resources for SWFL and YBCU.","language":"English","publisher":"Western Foundation of Vertebrate Zoology - Field Projects","collaboration":"U.S. Fish and Wildlife Service; Western Foundation of Vertebrate Zoology; Stillwater Sciences; U.C. Santa Barbara; Restoration Science LLC","usgsCitation":"Hall, L.S., Orr, B.K., Hatten, J., Lambert, A., and Dudley, T.L., 2020, Final report: Southwestern Willow Flycatcher (Empidonax traillii extimus) and Western Yellow-billed Cuckoo (Coccyzus americanus occidentalis) surveys and habitat availability modeling on the Santa Clara River, California, 26 March 2020, 120 p.","productDescription":"120 p.","ipdsId":"IP-116817","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":382094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382072,"type":{"id":15,"text":"Index Page"},"url":"https://www.wfvz.org/images/pdf/WFVZ_Section_6_Final_Report_FINAL_26_March_2020.pdf"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.9215087890625,\n              34.243594729697406\n            ],\n            [\n              -117.2845458984375,\n              34.243594729697406\n            ],\n            [\n              -117.2845458984375,\n              34.66935854524543\n            ],\n            [\n              -118.9215087890625,\n              34.66935854524543\n            ],\n            [\n              -118.9215087890625,\n              34.243594729697406\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Linnea S.","contributorId":220610,"corporation":false,"usgs":false,"family":"Hall","given":"Linnea","email":"","middleInitial":"S.","affiliations":[{"id":40192,"text":"Western Foundation of Vertebrate Zoology","active":true,"usgs":false}],"preferred":false,"id":807957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Bruce K.","contributorId":219949,"corporation":false,"usgs":false,"family":"Orr","given":"Bruce","email":"","middleInitial":"K.","affiliations":[{"id":40097,"text":"Stillwater Sciences","active":true,"usgs":false}],"preferred":false,"id":807958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatten, James 0000-0003-4676-8093","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":220165,"corporation":false,"usgs":true,"family":"Hatten","given":"James","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":807959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lambert, Adam","contributorId":247583,"corporation":false,"usgs":false,"family":"Lambert","given":"Adam","affiliations":[{"id":34029,"text":"U.C. Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":807960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dudley, Tom L.","contributorId":177792,"corporation":false,"usgs":false,"family":"Dudley","given":"Tom","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":807961,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209078,"text":"sir20205025 - 2020 - Hydrogeologic characterization of the Hualapai Plateau on the western Hualapai Indian Reservation, northwestern Arizona","interactions":[],"lastModifiedDate":"2020-04-07T16:49:15.946957","indexId":"sir20205025","displayToPublicDate":"2020-03-31T00:00:00","publicationYear":"2020","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":"2020-5025","displayTitle":"Hydrogeologic Characterization of the Hualapai Plateau on the Western Hualapai Indian Reservation, Northwestern Arizona","title":"Hydrogeologic characterization of the Hualapai Plateau on the western Hualapai Indian Reservation, northwestern Arizona","docAbstract":"<p>This study was developed to assess if groundwater from the western Hualapai Plateau could be used to supply developments in the Grand Canyon West area of the Hualapai Indian Reservation and to collect hydrogeologic data for future use in a numerical groundwater model for the reservation. Ground-based geophysical surveys; existing well, spring, and other hydrogeologic information from previous studies; and new well and spring data collected for this study were used to provide a better understanding of the hydrogeology of the western Hualapai Plateau.</p><p>Surface geophysical data provided information on the depth and geologic structure of lower Paleozoic rock units and Proterozoic crystalline and metamorphic rocks that underlie the western Hualapai Plateau. The surface geophysical data and discharge information from springs were used to select a site to drill and develop the U.S. Geological Survey Hualapai Test Well.</p><p>The Hualapai Test Well was drilled to understand the geophysical properties of geologic formations at depth. These data were used to verify the results of surface geophysical data and to evaluate if sufficient water was present in the Hualapai Test Well for potential groundwater development. The Hualapai Test Well was drilled to a depth of 2,468 feet and bottomed in Proterozoic granite. Water was expected in the lower part of the Muav Limestone, but water was not observed until the Tapeats Sandstone at a depth of 2,400 feet. The Tapeats Sandstone was determined to be confined with a hydrostatic head of over 900 feet. A 48-hour pumping test was conducted to determine aquifer properties. Low specific capacity indicated that although groundwater is present in the Tapeats Sandstone, well yields are likely to be small. A water-quality sample indicated the sample had a calcium, magnesium-bicarbonate water type with a total dissolved-solids concentration of 371 milligrams per liter. Alpha radioactivity of the sample, 18.3 picocuries per liter, exceeded the U.S. Environmental Protection Agency maximum contaminant level of 15 picocuries per liter for drinking water. Concentrations of iron and manganese in the water sample also exceeded the U.S. Environmental Protection Agency secondary maximum contaminant levels for drinking water.</p><p>An inventory of wells and springs provided insight into the occurrence of groundwater on the western Hualapai Plateau. Data from 56 springs on and adjacent to the western Hualapai Plateau were compiled for this study, and new data were collected at 31 springs. Discharge from springs visited for this study ranged from dry to about 345 gallons per minute. The temporal data from springs, where repeat measurements were available, indicated that spring flow is highly variable and likely related to seasonal and annual precipitation. Water levels from 36 wells on and adjacent to the western Hualapai Plateau were compiled for this study, and new water levels were collected at 5 wells. The spring and well data in conjunction with the Hualapai Test Well results indicated that on the western Hualapai Plateau, bedrock aquifers have limited discrete flow paths that make extensive groundwater development unlikely.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205025","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Mason, J.P., Macy, J.P., Bills, D.J., Gungle, B.W., and Jones, C.J., 2020, Hydrogeologic characterization of the Hualapai Plateau on the western Hualapai Indian Reservation, northwestern Arizona: U.S. Geological Survey Scientific Investigations Report 2020–5025, 38 p, https://doi.org/10.3133/sir20205025.","productDescription":"Report: viii, 38 p.; Data Release; 5 Tables","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-111107","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":373651,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5025/sir20205025_table1-1.xlsx","text":"Table 1-1","size":"15 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020-5025 table"},{"id":373650,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5025/sir20205025.pdf","text":"Report","size":"61 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5025"},{"id":373657,"rank":10,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205017","text":"Scientific Investigations Report 2020-5017","linkHelpText":" - Geophysical Surveys, Hydrogeologic Characterization, and Groundwater Flow Model for the Truxton Basin and Hualapai Plateau, Northwestern Arizona"},{"id":373505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5025/coverthb.jpg"},{"id":373652,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5025/sir20205025_table1-2.xlsx","text":"Table 1-2","size":"20 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020-5025 table"},{"id":373653,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5025/sir20205025_table1-3.xlsx","text":"Table 1-3","size":"15 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020-5025 table"},{"id":373793,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20165171","text":"Scientific Investigations Report 2016-5171","linkHelpText":" - Hydrogeologic framework and characterization of the Truxton Aquifer on the Hualapai Reservation, Mohave County, Arizona"},{"id":373654,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5025/sir20205025_table2-1.xlsx","text":"Table 2-1","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020-5025 table"},{"id":373655,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5025/sir20205025_table2-2.xlsx","text":"Table 2-2","size":"20 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020-5025 table"},{"id":373656,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90KAJM4","linkHelpText":"Controlled source audio-frequency magnetotellurics (CSAMT) data from the Grand Canyon West and Plain Tank Flat areas of the western Hualapai Reservation, Arizona"}],"country":"United States","state":"Arizona","otherGeospatial":"Hualapai Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.0655517578125,\n              35.60371874069731\n            ],\n            [\n              -112.8900146484375,\n              35.60371874069731\n            ],\n            [\n              -112.8900146484375,\n              36.39917828607653\n            ],\n            [\n              -114.0655517578125,\n              36.39917828607653\n            ],\n            [\n              -114.0655517578125,\n              35.60371874069731\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_az@usgs.gov\" data-mce-href=\"mailto:dc_az@usgs.gov\">Director</a>,<br><a href=\"http://az.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"http://az.water.usgs.gov/\">Arizona Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul><p></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-03-31","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Mason, Jon P. 0000-0003-0576-5494 jmason@usgs.gov","orcid":"https://orcid.org/0000-0003-0576-5494","contributorId":196854,"corporation":false,"usgs":true,"family":"Mason","given":"Jon","email":"jmason@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":784847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bills, Donald J. 0000-0001-8955-3370 djbills@usgs.gov","orcid":"https://orcid.org/0000-0001-8955-3370","contributorId":177439,"corporation":false,"usgs":true,"family":"Bills","given":"Donald","email":"djbills@usgs.gov","middleInitial":"J.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gungle, Bruce 0000-0001-6406-1206 bgungle@usgs.gov","orcid":"https://orcid.org/0000-0001-6406-1206","contributorId":2237,"corporation":false,"usgs":true,"family":"Gungle","given":"Bruce","email":"bgungle@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Casey J.R. 0000-0002-6991-8026","orcid":"https://orcid.org/0000-0002-6991-8026","contributorId":223364,"corporation":false,"usgs":true,"family":"Jones","given":"Casey","email":"","middleInitial":"J.R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784848,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208586,"text":"sir20205017A - 2020 - Groundwater availability in the Truxton basin, northwestern Arizona","interactions":[{"subject":{"id":70208586,"text":"sir20205017A - 2020 - Groundwater availability in the Truxton basin, northwestern Arizona","indexId":"sir20205017A","publicationYear":"2020","noYear":false,"chapter":"A","displayTitle":"Groundwater Availability in the Truxton Basin, Northwestern Arizona","title":"Groundwater availability in the Truxton basin, northwestern Arizona"},"predicate":"IS_PART_OF","object":{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017","publicationYear":"2020","noYear":false,"title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona"},"id":1}],"isPartOf":{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017","publicationYear":"2020","noYear":false,"title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona"},"lastModifiedDate":"2022-04-26T18:24:56.578991","indexId":"sir20205017A","displayToPublicDate":"2020-03-31T00:00:00","publicationYear":"2020","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":"2020-5017","chapter":"A","displayTitle":"Groundwater Availability in the Truxton Basin, Northwestern Arizona","title":"Groundwater availability in the Truxton basin, northwestern Arizona","docAbstract":"<p>This is a summary chapter of a multichapter volume that includes a brief description of the study area and descriptions of the hydrogeologic framework, numerical groundwater-flow model, and estimates of simulated changes to groundwater levels of the Truxton aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205017A","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Mason J.P., Knight, J.E., Ball, L.B. Kennedy, J.R., Bills, D.J., and Macy, J.P., 2020, Groundwater availability in the Truxton basin, northwestern Arizona, chap. A <i>of</i> Mason, J.P., ed., Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona: U.S. Geological Survey Scientific Investigations Report 2020–5017, 14 p., https://doi.org/10.3133/sir20205017A.","productDescription":"vi, 14 p.","numberOfPages":"14","ipdsId":"IP-106205","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":399684,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109883.htm"},{"id":373639,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5017/a/sir20205017_chap_a.pdf","text":"Report","size":"11.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":373500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5017/a/coverthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Truxton basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.0333,\n              35.3039\n            ],\n            [\n              -113.1667,\n              35.3039\n            ],\n            [\n              -113.1667,\n              36.1636\n            ],\n            [\n              -114.0333,\n              36.1636\n            ],\n            [\n              -114.0333,\n              35.3039\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_az@usgs.gov\" data-mce-href=\"mailto:dc_az@usgs.gov\">Director</a>,<br><a href=\"http://az.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"http://az.water.usgs.gov/\">Arizona Water Science Center</a><br><a data-mce-href=\"https://usgs.gov\" href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<ul><li>Introduction</li><li>Previous Investigations</li><li>Description of the Study Area</li><li>Conceptual Model of the Truxton Basin Groundwater System</li><li>Hydrostratigraphic Framework Development</li><li>Simulation of Current Conditions and Changes to the Truxton Aquifer</li><li>Summary and Conclusions</li><li>References Cited</li></ul><p><br></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-03-31","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"editors":[{"text":"Mason, Jon P. 0000-0003-0576-5494 jmason@usgs.gov","orcid":"https://orcid.org/0000-0003-0576-5494","contributorId":196854,"corporation":false,"usgs":true,"family":"Mason","given":"Jon","email":"jmason@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":782617,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Mason, Jon P. 0000-0003-0576-5494 jmason@usgs.gov","orcid":"https://orcid.org/0000-0003-0576-5494","contributorId":215782,"corporation":false,"usgs":true,"family":"Mason","given":"Jon","email":"jmason@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Jacob E. 0000-0003-0271-9011","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":204140,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":782612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782613,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782616,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bills, Donald J. 0000-0001-8955-3370 djbills@usgs.gov","orcid":"https://orcid.org/0000-0001-8955-3370","contributorId":177439,"corporation":false,"usgs":true,"family":"Bills","given":"Donald","email":"djbills@usgs.gov","middleInitial":"J.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782615,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209230,"text":"sir20205017E - 2020 - Simulation of groundwater-level changes from projected groundwater withdrawals in the Truxton basin, northwestern Arizona","interactions":[{"subject":{"id":70209230,"text":"sir20205017E - 2020 - Simulation of groundwater-level changes from projected groundwater withdrawals in the Truxton basin, northwestern Arizona","indexId":"sir20205017E","publicationYear":"2020","noYear":false,"chapter":"E","displayTitle":"Simulation of Groundwater-Level Changes from Projected Groundwater Withdrawals in the Truxton Basin, Northern Arizona","title":"Simulation of groundwater-level changes from projected groundwater withdrawals in the Truxton basin, northwestern Arizona"},"predicate":"IS_PART_OF","object":{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017","publicationYear":"2020","noYear":false,"title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona"},"id":1}],"isPartOf":{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017","publicationYear":"2020","noYear":false,"title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona"},"lastModifiedDate":"2024-06-26T15:56:23.623695","indexId":"sir20205017E","displayToPublicDate":"2020-03-31T00:00:00","publicationYear":"2020","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":"2020-5017","chapter":"E","displayTitle":"Simulation of Groundwater-Level Changes from Projected Groundwater Withdrawals in the Truxton Basin, Northern Arizona","title":"Simulation of groundwater-level changes from projected groundwater withdrawals in the Truxton basin, northwestern Arizona","docAbstract":"<p>A three-dimensional, numerical groundwater flow model of the Hualapai Plateau and Truxton basin was developed to assist water-resource managers in understanding the potential effects of projected groundwater withdrawals on groundwater levels and storage in the basin. The Truxton Basin Hydrologic Model (TBHM) is a transient model that simulates the hydrologic system for the years 1976 through 2139, including hypothetical low-, medium-, and high-groundwater withdrawal scenarios beginning in 2020. The simulated effects of these withdrawal scenarios are presented as groundwater-level changes from the year 2020 to 2070, and from 2020 to 2140. Hydrologic properties in the TBHM are derived from calibration of a steady-state model of the predevelopment (before 1976) groundwater system. The future pumping scenarios are each simulated with three different interpretations of basin depth supported by geophysical data. For each of the resulting nine transient models, a Monte Carlo approach is used to produce a range of possible and probable groundwater-level changes at points throughout the basin given probabilistic ranges of hydrologically reasonable aquifer property values supported by the model calibration results. The ensemble of models that simulate the future pumping scenarios include pumping from the existing well field (three wells) plus additional pumping from a proposed new well. Simulated high future pumping increases progressively to 1,840 acre-feet per year in 2120 and produces a range of drawdowns between 20 and 39 feet (ft) near the pumping center, with a median drawdown of 28 ft. The low future pumping scenario, which increases progressively to 650 acre-ft per year in 2120, produces a range of drawdowns between 5 and 15 ft, with a median drawdown of 10 ft at the same location over the same period of time.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205017E","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Knight, J.E., 2020, Simulation of groundwater-level changes from projected groundwater withdrawals in the Truxton basin, northwestern Arizona, chap. E <i>of</i> Mason, J.P., ed., Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona: U.S. Geological Survey Scientific Investigations Report 2020–5017, 39 p., https://doi.org/10.3133/sir20205017E.","productDescription":"Report: viii, 39 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-108383","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":399689,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109887.htm"},{"id":373648,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O2WGLS","linkHelpText":"MODFLOW-NWT groundwater model used for simulating potential future pumping scenarios and forecasting associated groundwater-level changes in the Truxton aquifer on the Hualapai Reservation and adjacent areas, Mohave County, Arizona"},{"id":373647,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5017/e/sir20205017_chap_e.pdf","text":"Report","size":"12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5017 Chapter E"},{"id":373504,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5017/e/coverthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Truxton basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.05,\n              35.2403\n            ],\n            [\n              -113.18,\n              35.2403\n            ],\n            [\n              -113.18,\n              36.1656\n            ],\n            [\n              -114.05,\n              36.1656\n            ],\n            [\n              -114.05,\n              35.2403\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_az@usgs.gov\" data-mce-href=\"mailto:dc_az@usgs.gov\">Director</a>,<br><a href=\"http://az.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"http://az.water.usgs.gov/\">Arizona Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Conceptual Model of the Groundwater-Flow System</li><li>Simulation of Groundwater Flow</li><li>Forecasting Simulations and Uncertainty Analysis</li><li>Discussion and Model Limitations</li><li>Summary</li><li>References Cited</li><li>Appendixes</li></ul><p></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-03-31","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"editors":[{"text":"Mason, Jon P. 0000-0003-0576-5494 jmason@usgs.gov","orcid":"https://orcid.org/0000-0003-0576-5494","contributorId":215782,"corporation":false,"usgs":true,"family":"Mason","given":"Jon","email":"jmason@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786108,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Knight, Jacob E. 0000-0003-0271-9011","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":204140,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785476,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70208724,"text":"sir20205017D - 2020 - Major hydrostratigraphic contacts of the Truxton basin and Hualapai Plateau, northwestern Arizona, developed from airborne electromagnetic data","interactions":[{"subject":{"id":70208724,"text":"sir20205017D - 2020 - Major hydrostratigraphic contacts of the Truxton basin and Hualapai Plateau, northwestern Arizona, developed from airborne electromagnetic data","indexId":"sir20205017D","publicationYear":"2020","noYear":false,"chapter":"D","displayTitle":"Major Hydrostratigraphic Contacts of the Truxton Basin and Hualapai Plateau, Northwestern Arizona, Developed from Airborne Electromagnetic Data","title":"Major hydrostratigraphic contacts of the Truxton basin and Hualapai Plateau, northwestern Arizona, developed from airborne electromagnetic data"},"predicate":"IS_PART_OF","object":{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017","publicationYear":"2020","noYear":false,"title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona"},"id":1}],"isPartOf":{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017","publicationYear":"2020","noYear":false,"title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona"},"lastModifiedDate":"2024-06-26T15:59:05.085756","indexId":"sir20205017D","displayToPublicDate":"2020-03-31T00:00:00","publicationYear":"2020","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":"2020-5017","chapter":"D","displayTitle":"Major Hydrostratigraphic Contacts of the Truxton Basin and Hualapai Plateau, Northwestern Arizona, Developed from Airborne Electromagnetic Data","title":"Major hydrostratigraphic contacts of the Truxton basin and Hualapai Plateau, northwestern Arizona, developed from airborne electromagnetic data","docAbstract":"<p>The area surrounding the Grand Canyon has spectacular outcrop exposure in the modern canyon walls, leading to stratigraphic contact delineations that are well constrained near canyons yet poorly constrained where the terrain remains undissected and relatively unexplored by boreholes. An airborne electromagnetic and magnetic survey of the western Hualapai Indian Reservation and surrounding areas was undertaken to support the development of a three-dimensional hydrostratigraphic framework of the Truxton basin and Hualapai Plateau. These data were used to develop models of the resistivity structure with total depths of investigation ranging from 200 meters in the most conductive parts of the Truxton basin to more than 600 meters in the higher resistivity areas underlying the Hualapai Plateau. The modeled resistivity structure was used in conjunction with geologic maps, well lithologic records, and results from gravity models of the depth to bedrock to develop high-resolution regional interpretations of the elevation of the Muav Limestone-Bright Angel Shale contact and the top of the crystalline basement. These contacts are conceptualized to serve as the base of the Paleozoic limestone aquifers primarily underlying the Hualapai Plateau and the Tertiary-Quaternary sedimentary and volcanic aquifers of the Truxton basin, respectively.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205017D","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Ball, L.B., 2020, Major hydrostratigraphic contacts of the Truxton basin and Hualapai Plateau, northwestern Arizona, developed from airborne electromagnetic data, chap. D <i>of</i> Mason, J.P., ed., Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona: U.S. Geological Survey Scientific Investigations Report 2020–5017, 24 p., https://doi.org/10.3133/sir20205017D.","productDescription":"Report: iv, 24 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-108191","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":399687,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109886.htm"},{"id":373646,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91OLJN3","linkHelpText":"Airborne electromagnetic and magnetic survey data from the western Hualapai Indian Reservation near Grand Canyon West and Peach Springs, Arizona, 2018"},{"id":373503,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5017/d/coverthb.jpg"},{"id":373645,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5017/d/sir20205017_chap_d.pdf","text":"Report","size":"27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5017 Chapter D"}],"country":"United States","state":"Arizona","otherGeospatial":"Hualapai Plateau, Truxton basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.2125,\n              35.2281\n            ],\n            [\n              -113.0603,\n              35.2281\n            ],\n            [\n              -113.0603,\n              36.2139\n            ],\n            [\n              -114.2125,\n              36.2139\n            ],\n            [\n              -114.2125,\n              35.2281\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_az@usgs.gov\" data-mce-href=\"mailto:dc_az@usgs.gov\">Director</a>,<br><a href=\"http://az.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"http://az.water.usgs.gov/\">Arizona Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<p></p><ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results and Discussion</li><li>Conclusions</li><li>References Cited</li></ul><p></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-03-31","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"editors":[{"text":"Mason, Jon P. 0000-0003-0576-5494 jmason@usgs.gov","orcid":"https://orcid.org/0000-0003-0576-5494","contributorId":215782,"corporation":false,"usgs":true,"family":"Mason","given":"Jon","email":"jmason@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786105,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":783178,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70211933,"text":"70211933 - 2020 - Transmitter effects on growth and survival of Forster’s tern chicks","interactions":[],"lastModifiedDate":"2020-08-11T20:53:11.855854","indexId":"70211933","displayToPublicDate":"2020-03-30T15:48:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Transmitter effects on growth and survival of Forster’s tern chicks","docAbstract":"<p><span>Radio‐telemetry is a commonly used scientific technique that allows researchers to collect detailed movement, habitat use, and survival data of animals; however, evidence indicates that using telemetry can affect behavior and survival. Using multiple breeding colonies and years, we investigated the effects of attached radio‐transmitters on growth and survival of Forster's tern (</span><i>Sterna forsteri<span>&nbsp;</span></i><span>) chicks in San Francisco Bay, California, USA, 2010–2011. We tested these potential effects at isolated islands that allowed for high re‐capture rates (typically &gt;85%) in radio‐marked and banded‐only chicks. Modeled Gompertz growth curves suggested that transmitters had a small negative effect on some of the asymptotic growth parameters of tern chicks; tarsus (−1.5 ± 0.7% [SE]), culmen (−1.7 ± 1.2%), and wing (−4.9 ± 2.0%) lengths were shorter for radio‐marked chicks compared to banded‐only chicks. In contrast, there was no difference in asymptotic mass between radio‐marked chicks and banded‐only chicks. Survival from hatching to fledging was lower for radio‐marked chicks than banded‐only chicks during 2010 (banded‐only = 0.313 ± 0.162 vs. radio‐marked = 0.250 ± 0.165) and 2011 (0.193 ± 0.030 vs. 0.123 ± 0.027). Most of the transmitter effect occurred within the first week after hatching, rather than in older chicks. Notably, the effect of transmitters on chick survival was primarily additive, indicating that the effect of transmitters on radio‐marked chicks was not influenced by other ecological covariates. Given the effect radio‐transmitters had on survival did not change across temporal or ecological gradients, transmitters can still be used to evaluate ecological factors affecting survival and timing of mortality and radio‐marked birds can be used to make inferences to the general population.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21864","usgsCitation":"Herzog, M.P., Ackerman, J.T., Hartman, C.A., and Peterson, S.H., 2020, Transmitter effects on growth and survival of Forster’s tern chicks: Journal of Wildlife Management, v. 84, no. 5, p. 891-901, https://doi.org/10.1002/jwmg.21864.","productDescription":"11 p.","startPage":"891","endPage":"901","ipdsId":"IP-113026","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":377393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.13775634765625,\n              37.4113460970232\n            ],\n            [\n              -121.92386627197266,\n              37.4113460970232\n            ],\n            [\n              -121.92386627197266,\n              37.505368263398104\n            ],\n            [\n              -122.13775634765625,\n              37.505368263398104\n            ],\n            [\n              -122.13775634765625,\n              37.4113460970232\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":795867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":795868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":795869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":795870,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211857,"text":"70211857 - 2020 - A pan-African high-resolution drought index dataset","interactions":[],"lastModifiedDate":"2022-04-13T20:49:05.342953","indexId":"70211857","displayToPublicDate":"2020-03-30T15:48:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"A pan-African high-resolution drought index dataset","docAbstract":"<p><span>Droughts in Africa cause severe problems, such as crop failure, food shortages, famine, epidemics and even mass migration. To minimize the effects of drought on water and food security on Africa, a high-resolution drought dataset is essential to establish robust drought hazard probabilities and to assess drought vulnerability considering a multi- and cross-sectional perspective that includes crops, hydrological systems, rangeland and environmental systems. Such assessments are essential for policymakers, their advisors and other stakeholders to respond to the pressing humanitarian issues caused by these environmental hazards. In this study, a high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset is presented to support these assessments. We compute historical SPEI data based on Climate Hazards group InfraRed Precipitation with Station data (CHIRPS) precipitation estimates and Global Land Evaporation Amsterdam Model (GLEAM) potential evaporation estimates. The high-resolution SPEI dataset (SPEI-HR) presented here spans from 1981 to 2016 (36&nbsp;years) with 5 km spatial resolution over the whole of Africa. To facilitate the diagnosis of droughts of different durations, accumulation periods from 1 to 48 months are provided. The quality of the resulting dataset was compared with coarse-resolution SPEI based on Climatic Research Unit (CRU) Time Series (TS) datasets, Normalized Difference Vegetation Index (NDVI) calculated from the Global Inventory Monitoring and Modeling System (GIMMS) project and root zone soil moisture modelled by GLEAM. Agreement found between coarse-resolution SPEI from CRU TS (SPEI-CRU) and the developed SPEI-HR provides confidence in the estimation of temporal and spatial variability of droughts in Africa with SPEI-HR. In addition, agreement of SPEI-HR versus NDVI and root zone soil moisture –&nbsp;with an average correlation coefficient (</span><span class=\"inline-formula\"><i>R</i></span><span>) of 0.54 and 0.77, respectively – further implies that SPEI-HR can provide valuable information for the study of drought-related processes and societal impacts at sub-basin and district scales in Africa. The dataset is archived in Centre for Environmental Data Analysis (CEDA) via the following link:&nbsp;</span><a href=\"https://doi.org/10.5285/bbdfd09a04304158b366777eba0d2aeb\" data-mce-href=\"https://doi.org/10.5285/bbdfd09a04304158b366777eba0d2aeb\">https://doi.org/10.5285/bbdfd09a04304158b366777eba0d2aeb</a><span>&nbsp;(Peng et al., 2019a).</span></p>","language":"English","doi":"10.5194/essd-12-753-2020","usgsCitation":"Peng, J., Dawdson, S., Hirpa, F., Dyer, E., Vicento-Serrano, S., and Funk, C., 2020, A pan-African high-resolution drought index dataset: Earth System Science Data, v. 12, no. 1, p. 753-769, https://doi.org/10.5194/essd-12-753-2020.","productDescription":"7 p.","startPage":"753","endPage":"769","ipdsId":"IP-111573","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":457233,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-12-753-2020","text":"Publisher Index Page"},{"id":398683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Africa","volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Peng, Jian","contributorId":223712,"corporation":false,"usgs":false,"family":"Peng","given":"Jian","email":"","affiliations":[{"id":40756,"text":"Oxford","active":true,"usgs":false}],"preferred":false,"id":795416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawdson, Simon","contributorId":223713,"corporation":false,"usgs":false,"family":"Dawdson","given":"Simon","email":"","affiliations":[{"id":40757,"text":"Max Planck Institute for Meteorology","active":true,"usgs":false}],"preferred":false,"id":795417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirpa, Firaya","contributorId":223714,"corporation":false,"usgs":false,"family":"Hirpa","given":"Firaya","email":"","affiliations":[{"id":40758,"text":"Ludwig-Maximilians Universität München","active":true,"usgs":false}],"preferred":false,"id":795418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dyer, Ellen","contributorId":223715,"corporation":false,"usgs":false,"family":"Dyer","given":"Ellen","email":"","affiliations":[{"id":27567,"text":"Ghent University","active":true,"usgs":false}],"preferred":false,"id":795419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vicento-Serrano, Sergio","contributorId":223716,"corporation":false,"usgs":false,"family":"Vicento-Serrano","given":"Sergio","email":"","affiliations":[{"id":40759,"text":"Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE-CSIC) Zaragoza, Spain","active":true,"usgs":false}],"preferred":false,"id":795420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":795421,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211208,"text":"70211208 - 2020 - Climate-induced expansions of invasive species in the Pacific Northwest, North America: A synthesis of observations and projections","interactions":[],"lastModifiedDate":"2020-07-17T18:29:21.992555","indexId":"70211208","displayToPublicDate":"2020-03-30T13:23:24","publicationYear":"2020","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":"Climate-induced expansions of invasive species in the Pacific Northwest, North America: A synthesis of observations and projections","docAbstract":"<p><span>Climate change may facilitate the expansion of non-native invasive species (NIS) in aquatic and terrestrial systems. However, empirical evidence remains scarce and poorly synthesized at scales necessary for effective management. We conducted a literature synthesis to assess the state of research on the observed and predicted effects of climate change on a suite of 398 aquatic and terrestrial NIS now present in or a major threat to aquatic and terrestrial ecosystems of the Pacific Northwest (PNW), USA and British Columbia. Surprisingly, very few studies (n = 15) have investigated the&nbsp;</span><i>observed</i><span>&nbsp;effects of climate change on the distribution, abundance, spread, or impact of the focal NIS, with only five studies focusing on terrestrial (n = 2) or aquatic (n = 3) species within the PNW. Only 93 studies&nbsp;</span><i>predicted</i><span>&nbsp;the future dynamics of the focal NIS somewhere in their non-native range using climate model projections, yielding 117 species-specific predictions. However, only 30 of those studies generated predictions that overlapped with the PNW, and only six focused specifically on the expansion or abundance of NIS (n = 11 species) entirely within the region. Although our understanding of how climate change may interact with biological invasions is notably lacking, some evidence suggests that climate-induced NIS expansions are already underway in the PNW, particularly in aquatic ecosystems, and will be exacerbated by future changes in temperature and precipitation regimes. Better information is urgently needed for managers to implement strategic prevention, early detection, and proactive actions that ameliorate ecologically and economically devastating impacts of NIS.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-020-02244-2","usgsCitation":"Gervais, J., Kovach, R., Sepulveda, A.J., Al-Chokhachy, R.K., Giersch, J.J., and Muhlfeld, C.C., 2020, Climate-induced expansions of invasive species in the Pacific Northwest, North America: A synthesis of observations and projections: Biological Invasions, v. 22, p. 2163-2183, https://doi.org/10.1007/s10530-020-02244-2.","productDescription":"21 p.","startPage":"2163","endPage":"2183","ipdsId":"IP-109006","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":376477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nevada, Oregon, Utah, Washington, Wyoming","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.9912109375,\n              40.27952566881291\n            ],\n            [\n              -109.8193359375,\n              40.27952566881291\n            ],\n            [\n              -109.8193359375,\n              48.8936153614802\n            ],\n            [\n              -125.9912109375,\n              48.8936153614802\n            ],\n            [\n              -125.9912109375,\n              40.27952566881291\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2020-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Gervais, Jennifer","contributorId":229450,"corporation":false,"usgs":false,"family":"Gervais","given":"Jennifer","affiliations":[{"id":41648,"text":"Oregon Wildlife Institute","active":true,"usgs":false}],"preferred":false,"id":793204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kovach, Ryan P.","contributorId":126724,"corporation":false,"usgs":false,"family":"Kovach","given":"Ryan P.","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":793203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":793205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":793206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":198074,"corporation":false,"usgs":true,"family":"Giersch","given":"J.","email":"jgiersch@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":793207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":793208,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70226976,"text":"70226976 - 2020 - Seasonal habitat use indicates that depth may mediate the potential for invasive round goby impacts in inland lakes","interactions":[],"lastModifiedDate":"2022-04-08T15:37:05.65671","indexId":"70226976","displayToPublicDate":"2020-03-30T10:28:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal habitat use indicates that depth may mediate the potential for invasive round goby impacts in inland lakes","docAbstract":"<ol class=\"\"><li>The round goby (<i>Neogobius melanostomus</i>) is among the fastest-spreading introduced aquatic species in North America and is radiating inland from the Great Lakes into freshwater ecosystems across the landscape. Predicting and managing the impacts of round gobies requires information on the factors influencing their distribution in habitats along the invasion front, yet this information is not available for many recently invaded ecosystems. We evaluated the seasonal habitat use and biomass of round gobies in an inland temperate lake to define the spatiotemporal scope of biological interactions at the leading edge of the round goby invasion.</li><li>Using novel statistical approaches, we combined hierarchical models that control for imperfect species detection with flexible smooth terms to describe non-linear relationships between round goby abundance and environmental gradients. Subsequently, we generated accurate detection-corrected estimates of the standing stock biomass of round gobies.</li><li>Our results show seasonally differentiated habitat niches, where suitable round goby habitat in summer months is restricted to shallow depths (&lt;18.4&nbsp;m) with a mixture of vegetative and mussel cover. We found high round goby biomass of 122&nbsp;kg/ha in occupied habitats during the summer, with a total lake-wide biomass of 766,000&nbsp;kg. In winter, round&nbsp;gobies migrate to deep offshore habitats and disperse, dramatically altering their scope for biological interactions with resident aquatic species across summer and winter seasons.</li><li>The results of this study indicate that the scope of biological interactions in inland lakes may be seasonally variable, with potential for high round goby biomass in shallow lakes or at the periphery of deep lakes in the summer months. Such shallow-water habitats may therefore present higher risk of ecological impacts from round gobies in invaded lentic ecosystems. As round gobies expand inland, consideration of seasonal habitat use will be an important factor in predicting the impacts of this pervasive invader.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13502","usgsCitation":"Andres, K., Sethi, S., Duskey, E., Lepak, J., Rice, A.N., Estabrook, B.J., Fitzpatrick, K.B., George, E., Marcy-Quay, B., Paufve, M., Perkins, K., and Scofield, A., 2020, Seasonal habitat use indicates that depth may mediate the potential for invasive round goby impacts in inland lakes: Freshwater Biology, v. 65, no. 8, p. 1337-1347, https://doi.org/10.1111/fwb.13502.","productDescription":"11 p.","startPage":"1337","endPage":"1347","ipdsId":"IP-106414","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":398389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Cayuga 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,{"id":70212307,"text":"70212307 - 2020 - Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges","interactions":[],"lastModifiedDate":"2020-08-14T15:22:31.638542","indexId":"70212307","displayToPublicDate":"2020-03-30T10:02:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges","docAbstract":"Seismic hazard modelling is a multi-disciplinary science that aims to forecast earthquake occurrence and its resultant ground shaking. Such models consist of a probabilistic framework that quantifies uncertainty across a complex system; typically, this includes at least two model components developed from Earth science: seismic-source and ground-motion models. Although there is no scientific prescription for the forecast length, the most common probabilistic seismic hazard analyses consider forecasting windows of 30 to 50 years, which are typically an engineering demand for building code purposes. These types of analyses are the topic of this review paper. Although the core methods and assumptions of seismic hazard modelling have largely remained unchanged for more than 50 years, we review the most recent initiatives which face the difficult task of meeting both the increasingly sophisticated demands of society and keeping pace with advances in scientific understanding. A need for more accurate and spatially precise hazard forecasting must be balanced with increased quantification of uncertainty and new challenges such as moving from time-independent hazard to forecasts that are time-dependent and specific to the time-period of interest. Meeting these challenges requires the development of science-driven models which integrate all information available, the adoption of proper mathematical frameworks to quantify the different types of uncertainties in the hazard model, and the development of a proper testing phase of the model to quantify its consistency and skill. We review the state-of-the-art of the national seismic hazard modeling, and how the most innovative approaches try to address future challenges.","language":"English","publisher":"AGU","doi":"10.1029/2019RG000653","usgsCitation":"Gerstenberger, M.C., Marzocchi, W., Allen, T.J., Pagani, M., Adams, J., Danciu, L., Field, E., Fujiwara, H., Luco, N., Ma, K., Meletti, C., and Petersen, M.D., 2020, Probabilistic seismic hazard analysis at regional and national scale: State of the art and future challenges: Reviews of Geophysics, v. 58, no. 2, e2019RG000653, 49 p., https://doi.org/10.1029/2019RG000653.","productDescription":"e2019RG000653, 49 p.","ipdsId":"IP-116571","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":377526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gerstenberger, M. C.","contributorId":238494,"corporation":false,"usgs":false,"family":"Gerstenberger","given":"M.","email":"","middleInitial":"C.","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":796306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marzocchi, W.","contributorId":238499,"corporation":false,"usgs":false,"family":"Marzocchi","given":"W.","affiliations":[{"id":47714,"text":"University of Naples","active":true,"usgs":false}],"preferred":false,"id":796307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, T. J.","contributorId":147276,"corporation":false,"usgs":false,"family":"Allen","given":"T.","email":"","middleInitial":"J.","affiliations":[{"id":16812,"text":"Indiana University of PA","active":true,"usgs":false}],"preferred":false,"id":796308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pagani, M.","contributorId":238503,"corporation":false,"usgs":false,"family":"Pagani","given":"M.","affiliations":[{"id":47715,"text":"GEM Foundation","active":true,"usgs":false}],"preferred":false,"id":796309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Janice","contributorId":173065,"corporation":false,"usgs":false,"family":"Adams","given":"Janice","email":"","affiliations":[],"preferred":false,"id":796310,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Danciu, L.","contributorId":238505,"corporation":false,"usgs":false,"family":"Danciu","given":"L.","email":"","affiliations":[{"id":47716,"text":"Swiss Seismological Service","active":true,"usgs":false}],"preferred":false,"id":796311,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":1165,"corporation":false,"usgs":true,"family":"Field","given":"Edward H.","email":"field@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":796312,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fujiwara, H.","contributorId":238508,"corporation":false,"usgs":false,"family":"Fujiwara","given":"H.","email":"","affiliations":[{"id":47718,"text":"National Research Institute for Earth Science and Disaster Resilience","active":true,"usgs":false}],"preferred":false,"id":796313,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":796314,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ma, K-F","contributorId":238509,"corporation":false,"usgs":false,"family":"Ma","given":"K-F","affiliations":[{"id":47719,"text":"National Central University","active":true,"usgs":false}],"preferred":false,"id":796315,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Meletti, C.","contributorId":238510,"corporation":false,"usgs":false,"family":"Meletti","given":"C.","email":"","affiliations":[{"id":39118,"text":"Istituto Nazionale di Geofisica e Vulcanologia","active":true,"usgs":false}],"preferred":false,"id":796316,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":796317,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70210069,"text":"70210069 - 2020 - Operational global actual evapotranspiration: Development, evaluation, and dissemination","interactions":[],"lastModifiedDate":"2020-05-13T14:25:13.766951","indexId":"70210069","displayToPublicDate":"2020-03-30T09:21:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Operational global actual evapotranspiration: Development, evaluation, and dissemination","docAbstract":"<p><span>Satellite-based actual evapotranspiration (ETa) is becoming increasingly reliable and available for various water management and agricultural applications from water budget studies to crop performance monitoring. The Operational Simplified Surface Energy Balance (SSEBop) model is currently used by the US Geological Survey (USGS) Famine Early Warning System Network (FEWS NET) to routinely produce and post multitemporal ETa and ETa anomalies online for drought monitoring and early warning purposes. Implementation of the global SSEBop using the Aqua satellite’s Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature and global gridded weather datasets is presented. Evaluation of the SSEBop ETa data using 12 eddy covariance (EC) flux tower sites over six continents indicated reasonable performance in capturing seasonality with a correlation coefficient up to 0.87. However, the modeled ETa seemed to show regional biases whose natures and magnitudes require a comprehensive investigation using complete water budgets and more quality-controlled EC station datasets. While the absolute magnitude of SSEBop ETa would require a one-time bias correction for use in water budget studies to address local or regional conditions, the ETa anomalies can be used without further modifications for drought monitoring. All ETa products are freely available for download from the USGS FEWS NET website.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/s20071915","collaboration":"","usgsCitation":"Senay, G., Kagone, S., and Velpuri, N.M., 2020, Operational global actual evapotranspiration: Development, evaluation, and dissemination, v. 7, no. 20, 1915, 18 p., https://doi.org/10.3390/s20071915.","productDescription":"1915, 18 p.","ipdsId":"IP-116111","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":457241,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s20071915","text":"Publisher Index Page"},{"id":437046,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OUVUUI","text":"USGS data release","linkHelpText":"Operational Global Actual Evapotranspiration using the SSEBop model"},{"id":374752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"20","noUsgsAuthors":false,"publicationDate":"2020-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":216910,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":788972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":210980,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":788973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Velpuri, Naga M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":96183,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":788974,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70209444,"text":"70209444 - 2020 - Movement-assisted localization from acoustic telemetry data","interactions":[],"lastModifiedDate":"2020-04-08T12:37:57.712286","indexId":"70209444","displayToPublicDate":"2020-03-30T07:36:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Movement-assisted localization from acoustic telemetry data","docAbstract":"Acoustic telemetry technologies are being increasingly deployed to study a variety of aquatic taxa including fishes, reptiles, and marine mammals. Large cooperative telemetry networks produce vast quantities of data useful in the study of movement, resource selection and species distribution. Efficient use of acoustic telemetry data requires estimation of acoustic source locations from detections at receivers (i.e., “localization”). Multiple processes provide information for localization estimation including detection/non-detection data at receivers, information on signal rate, and an underlying movement model describing how individuals move and utilize space. Frequently, however, localization methods only integrate a subset of these processes and do not utilize the full spatial encounter history information available from receiver arrays.","language":"English","publisher":"Springer","doi":"10.1186/s40462-020-00199-6","collaboration":"","usgsCitation":"Hostetter, N., and Royle, A., 2020, Movement-assisted localization from acoustic telemetry data: Movement Ecology, v. 8, https://doi.org/10.1186/s40462-020-00199-6.","productDescription":"15, 13 p.","startPage":"","ipdsId":"IP-113754","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457243,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-020-00199-6","text":"Publisher Index Page"},{"id":373834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2020-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Hostetter, Nathan J.","contributorId":223869,"corporation":false,"usgs":false,"family":"Hostetter","given":"Nathan J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":786503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":786504,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209829,"text":"70209829 - 2020 - High-throughput sequencing reveals distinct regional genetic structure among remaining populations of an endangered salt marsh plant in California","interactions":[],"lastModifiedDate":"2020-06-04T17:14:15.685216","indexId":"70209829","displayToPublicDate":"2020-03-30T07:31:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"High-throughput sequencing reveals distinct regional genetic structure among remaining populations of an endangered salt marsh plant in California","docAbstract":"Conservation of rare species requires careful consideration to both preserve locally adapted traits and maintain genetic diversity, as species’ ranges fluctuate in response to a changing climate and habitat loss. Salt marsh systems in California have been highly modified and many salt marsh obligate species have undergone range reductions and habitat loss with concomitant losses of genetic diversity and connectivity. Remaining salt marshes are threatened by rising sea levels, and so these habitats will likely require active restoration and re-establishment efforts. This study aims to provide a reference point for the current status of genetic diversity and range-wide population structure of a federally and state listed endangered plant, Salt Marsh Bird’s Beak (Chloropyron maritimum subsp. maritimum) that can inform future preservation and restoration efforts. We used historical data and current monitoring information to locate and sample all known occurrences throughout the species range in Southern California, and three additional occurrences from Baja California, Mexico. We used flow cytometry and single nucleotide polymorphic markers (SNPs), generated by double-digest restriction-site associated DNA sequencing (ddRAD), to assess relative ploidy, and estimate genetic diversity and population structure across the region. Overall, we found four to five distinct genetic clusters that coincide with geographic regions. Genetic diversity was greatest in the southern part of the range including Baja California and San Diego. These findings can bolster management and restoration efforts by identifying potentially isolated occurrences and areas that are rich sources of allelic diversity, and by providing insight into the amount of genetic differentiation across the species range.","language":"English","publisher":"Springer","doi":"10.1007/s10592-020-01269-3","usgsCitation":"Milano, E.R., Mulligan, M.R., Rebman, J.P., and Vandergast, A.G., 2020, High-throughput sequencing reveals distinct regional genetic structure among remaining populations of an endangered salt marsh plant in California: Conservation Genetics, v. 21, p. 547-559, https://doi.org/10.1007/s10592-020-01269-3.","productDescription":"13 p.","startPage":"547","endPage":"559","ipdsId":"IP-112923","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":374396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.201171875,\n              32.65787573695528\n            ],\n            [\n              -116.103515625,\n              32.65787573695528\n            ],\n            [\n              -116.103515625,\n              35.460669951495305\n            ],\n            [\n              -121.201171875,\n              35.460669951495305\n            ],\n            [\n              -121.201171875,\n              32.65787573695528\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2020-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Milano, Elizabeth R. 0000-0003-4143-9303","orcid":"https://orcid.org/0000-0003-4143-9303","contributorId":210607,"corporation":false,"usgs":true,"family":"Milano","given":"Elizabeth","email":"","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":788206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulligan, Margaret R","contributorId":224408,"corporation":false,"usgs":false,"family":"Mulligan","given":"Margaret","email":"","middleInitial":"R","affiliations":[{"id":40878,"text":"San Diego Natural History Museum, San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":788207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rebman, Jon P.","contributorId":145616,"corporation":false,"usgs":false,"family":"Rebman","given":"Jon","email":"","middleInitial":"P.","affiliations":[{"id":16175,"text":"San Diego Natural History Museum","active":true,"usgs":false}],"preferred":false,"id":788208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":788209,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210380,"text":"70210380 - 2020 - Climatically driven displacement on the Eglington fault, Las Vegas, Nevada","interactions":[],"lastModifiedDate":"2020-06-02T13:53:01.204552","indexId":"70210380","displayToPublicDate":"2020-03-27T08:38:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Climatically driven displacement on the Eglington fault, Las Vegas, Nevada","docAbstract":"The Eglington fault is one of several intrabasinal faults in the Las Vegas Valley, Nevada and is the only one recognized as a source for significant earthquakes. Its broad warp displaces late Pleistocene paleo-spring deposits of the Las Vegas Formation, which record hydrologic fluctuations that occurred in response to millennial and submillennial-scale climate oscillations throughout the late Quaternary. The sediments allow us to constrain the timing of displacement on the Eglington fault and identify hydrologic changes that are temporally coincident with that event. The fault warps deposits that represent widespread marshes that filled the valley between 31.7 and 27.6 ka. These marshes desiccated abruptly in response to warming and groundwater lowering during Dansgaard-Oeschger (D-O) events 4 and 3, resulting in the formation of a pervasive, hard carbonate cap by 27.0 ka. Vertical offset by as much as 4.2 meters occurred after the cap hardened, and most likely after younger marshes desiccated irreversibly due to a sudden depression of the water table during D-O 2, beginning at 23.3 ka. The timing of displacement is further constrained to before 19.5 ka as evidenced by undeformed spring deposits that are inset into the incised topography of the warp. Coulomb stress calculations validate the hypothesis that the significant groundwater decline during D-O 2 triggered fault displacement through unloading of vertical stress of the water column. The synchroneity of this abrupt hydrologic change and warping on the Eglington fault suggests that climatically modulated tectonics operated in the Las Vegas Valley during the late Quaternary.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G47162.1","usgsCitation":"Springer, K.B., and Pigati, J.S., 2020, Climatically driven displacement on the Eglington fault, Las Vegas, Nevada: Geology, v. 48, no. 6, p. 574-578, https://doi.org/10.1130/G47162.1.","productDescription":"5 p.","startPage":"574","endPage":"578","ipdsId":"IP-115161","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":437048,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BTB41W","text":"USGS data release","linkHelpText":"Data release for Climatically driven displacement on the Eglington fault, Las Vegas, Nevada, USA"},{"id":375244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Las Vegas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.60913085937499,\n              35.9157474194997\n            ],\n            [\n              -114.82910156249999,\n              35.9157474194997\n            ],\n            [\n              -114.82910156249999,\n              36.41244153535644\n            ],\n            [\n              -115.60913085937499,\n              36.41244153535644\n            ],\n            [\n              -115.60913085937499,\n              35.9157474194997\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":790104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":790105,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211838,"text":"70211838 - 2020 - Framework for a long-term strategic plan for the Capital Area Groundwater Conservation Commission","interactions":[],"lastModifiedDate":"2020-08-11T13:02:52.65537","indexId":"70211838","displayToPublicDate":"2020-03-27T08:34:17","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Framework for a Long-term Strategic Plan for the Capital Area Groundwater Conservation Commission","title":"Framework for a long-term strategic plan for the Capital Area Groundwater Conservation Commission","docAbstract":"The Capital Area Groundwater Conservation Commission oversees the use of groundwater in six parishes in Louisiana. In carrying out its statutory responsibilities and authorities, the Commission recognizes the complexity of its decisions: the long-term objectives it is seeking are multifaceted; the actions it can choose from are numerous and interdependent; and the understanding of the hydrogeological, economic, and social systems affected by its actions is limited. To navigate this complexity, the Commission is developing a long-term strategic plan to guide its activities and to serve as a primary mode of communication to stakeholders and the public. The long-term strategic plan is intended to consider actions and outcomes over at least the next 50 years within the 6 parishes in the Commission’s jurisdiction and related to all the confined aquifers in the 3000 feet below the district. The primary purposes of the plan are to promote long-term sustainability of groundwater extraction, continuity of operations of the Commission, long-term planning by water users, and clear communication with the public. The plan will describe specific management actions to be taken over time by the Commission, and the conditions under which those actions are to be taken. It will include intermediate milestones the Commission intends to achieve on the way toward achieving its long-term objectives. The actions under consideration include regulation and monitoring of groundwater withdrawal, mitigation of the environmental effects of withdrawal, support of relevant scientific studies, as well as work with partner agencies to implement measures to conserve, develop, and supplement groundwater resources. The plan will have greater detail about short-term actions than mid-term and long-term actions, and the Commission anticipates updating the plan periodically to adapt to changing circumstances and knowledge.\n\nTo develop its long-term strategic plan, the Commission is working with The Water Institute of the Gulf and the U.S. Geological Survey using a facilitated process based on the principles of structured decision making (Gregory et al., 2012). This document outlines the framework for the strategic plan by describing the legal, economic, and scientific context for the plan, the fundamental objectives the Commission seeks to achieve in the long term, and the strategic alternatives it is considering.","language":"English","publisher":"The Water Institute of the Gulf","collaboration":"The Water Institute of the Gulf; Capital Area Groundwater Conservation Commission","usgsCitation":"Runge, M.C., Bean, E.A., McInnis, A., Clark, R., and Dausman, A., 2020, Framework for a long-term strategic plan for the Capital Area Groundwater Conservation Commission, iii, 22 p.","productDescription":"iii, 22 p.","ipdsId":"IP-114259","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":377268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377195,"type":{"id":15,"text":"Index Page"},"url":"https://thewaterinstitute.org/assets/docs/reports/Framework-for-a-Long-term-Strategic-Plan-for-the-Capital-Area-Groundwater-Conservation-Commission.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":795318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bean, Ellen A","contributorId":228883,"corporation":false,"usgs":false,"family":"Bean","given":"Ellen","email":"","middleInitial":"A","affiliations":[{"id":41524,"text":"Bean Consulting","active":true,"usgs":false}],"preferred":false,"id":795319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McInnis, Adrian","contributorId":221278,"corporation":false,"usgs":false,"family":"McInnis","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":795320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Ryan","contributorId":193538,"corporation":false,"usgs":false,"family":"Clark","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":795321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dausman, Alyssa","contributorId":223766,"corporation":false,"usgs":false,"family":"Dausman","given":"Alyssa","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":795322,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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