{"pageNumber":"1002","pageRowStart":"25025","pageSize":"25","recordCount":184914,"records":[{"id":70191331,"text":"70191331 - 2017 - The Partners in Flight handbook on species assessment Version 2017","interactions":[],"lastModifiedDate":"2017-10-05T15:58:15","indexId":"70191331","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"The Partners in Flight handbook on species assessment Version 2017","docAbstract":"Partners in Flight (PIF) is a cooperative venture of federal, state, provincial, and territorial agencies, industry, non-governmental organizations, researchers, and many others whose common goal is the conservation of North American birds (www.partnersinflight.org). While PIF has focused primarily on landbirds, it works in conjunction with other bird partners to promote coordinated conservation of all birds.\n\nPIF follows an iterative, adaptive planning approach that develops a sound scientific basis for decision-making and a logical process for setting, implementing, and evaluating conservation objectives (Pashley et al. 2000, Rich et al. 2004, Berlanga et al. 2010). The steps include:\n\n1. Assessing conservation vulnerability of all bird species;\n2. Identifying species most in need of conservation attention at continental and regional scales;\n3. Setting of numerical population objectives for species of continental and regional importance;\n4. Identifying conservation needs and recommended actions for species and habitats of importance;\n5. Implementing strategies for meeting species and habitat objectives at continental and regional scales;\n6. Evaluating success, making revisions, and setting new objectives for the future.\n\nThe 2017 PIF Handbook on Species Assessment (2017 PIF Handbook) documents assessment rules and scores used in the Partners in Flight Landbird Conservation Plan: 2016 Revision for Canada and Continental United States (Rosenberg et al. 2016) and The State of North America’s Birds 2016 (NABCI 2016). It updates previous versions of the handbook (Panjabi et al. 2012, 2005, 2001) developed to accompany other PIF applications including Saving Our Shared Birds: Partners in Flight Tri-National Vision for Landbird Conservation (Berlanga et al. 2010) and the North American Landbird Conservation Plan (Rich et al. 2004). All current and past scores, data sources, and other related information are contained in databases hosted by the Bird Conservancy of the Rockies. Scores can be viewed online and downloaded as excel files, including archived versions (http://pif.birdconservancy.org/acad). The current accompanying Avian Conservation Assessment Database (ACAD) holds assessment scores and data for all 1585 native and 18 well-established non-native bird species found in mainland North America south to Panama plus adjacent islands and oceans. The taxonomy follows the American Ornithological Society’s 7th Edition Checklist of North and Middle American Birds, including updates though the 57th supplement, published in 2016 (http://checklist.aou.org/). The ACAD builds on archived PIF databases that hosted only data on the 882 landbirds native to Canada, USA and Mexico.\n\nThis handbook is presented in two principal sections. Part I details the factors and scoring used by PIF to assess the vulnerability of species at continental and regional scales (i.e. step 1 of the planning approach above). Each assessment factor is based on biological criteria that evaluate distinct components of vulnerability throughout the life cycle of each species across its range. Part II describes the process of how the factors and the corresponding scores can be combined to highlight conservation needs (i.e. step 2 of the planning approach above). Both the scores and the process have evolved over time (Hunter et al. 1992, Carter et al. 2000, Panjabi et al. 2001, 2005, 2012) and continue to be updated in response to external review (Beissinger et al. 2000), broad partner expertise, and the emergence of new data and analytical tools.","language":"English","publisher":"Partners in Flight","usgsCitation":"Panjabi, A.O., Blancher, P.J., Easton, W.E., Stanton, J.C., Demarest, D.W., Dettmers, R., Rosenberg, K.V., and Partners in Flight Science Committee, 2017, The Partners in Flight handbook on species assessment Version 2017, 43 p.","productDescription":"43 p.","ipdsId":"IP-086026","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":346439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346389,"type":{"id":15,"text":"Index Page"},"url":"https://pif.birdconservancy.org/ACAD/"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d744a3e4b05fe04cc7e324","contributors":{"authors":[{"text":"Panjabi, Arvind O.","contributorId":169967,"corporation":false,"usgs":false,"family":"Panjabi","given":"Arvind","email":"","middleInitial":"O.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":711964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blancher, Peter J.","contributorId":175182,"corporation":false,"usgs":false,"family":"Blancher","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Easton, Wendy E.","contributorId":175185,"corporation":false,"usgs":false,"family":"Easton","given":"Wendy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":711966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Demarest, Dean W.","contributorId":175184,"corporation":false,"usgs":false,"family":"Demarest","given":"Dean","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":712043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dettmers, Randy","contributorId":196926,"corporation":false,"usgs":false,"family":"Dettmers","given":"Randy","email":"","affiliations":[],"preferred":false,"id":711967,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosenberg, Kenneth V.","contributorId":171463,"corporation":false,"usgs":false,"family":"Rosenberg","given":"Kenneth","email":"","middleInitial":"V.","affiliations":[{"id":27615,"text":"Cornell Lab of Ornithology, Conservation Science Program","active":true,"usgs":false}],"preferred":false,"id":711968,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Partners in Flight Science Committee","contributorId":196951,"corporation":true,"usgs":false,"organization":"Partners in Flight Science Committee","id":711969,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187393,"text":"70187393 - 2017 - Population trends and distribution of Common Murre <i>Uria aalge</i> colonies in Washington, 1996-2015","interactions":[],"lastModifiedDate":"2019-12-17T09:28:42","indexId":"70187393","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Population trends and distribution of Common Murre <i>Uria aalge</i> colonies in Washington, 1996-2015","docAbstract":"<p>Periodic assessments of population trends and changes in spatial distribution are valuable for managing marine birds and their breeding habitats, particularly when evaluating long-term response to threats such as oil spills, predation pressure, and changing ocean conditions. We evaluated recent trends in abundance and distribution of the Common Murre <i>Uria aalge</i> within Copalis, Quillayute Needles, and Flattery Rocks National Wildlife Refuges, which include all murre colonies in Washington except one, off-refuge, on Tatoosh Island. In 1996-2001 and 2010-2015, aerial photographic surveys were conducted during the incubation phase (mid-June through mid-July) each year. Using images from film (1996-2001) and digital (2010-2015) cameras that included all parts of each colony, we manually counted murres. We estimated population trend as annual percent change in whole-colony counts using an overdispersed Poisson regression model. Overall, numbers of murres counted at breeding colonies in Washington increased by 8.8% per year (95% CI 3.0%-14.9%) during 1996–2015. The overall statewide increase was driven by an increase at colonies in northern Washington of approximately 11% per year (95% CI 4.5%-17.8%). Despite an increasing trend, abundance remains lower than levels in the late 1970s, and the spatial distribution has changed. Colonies in southern Washington - where murres were historically the most abundant - are no longer active, or only minimally so, whereas colonies in the north - which were rarely active in the early 1970s - are now the largest. There was high variability in spatial distribution among years, a pattern that indicates a need for coordinated monitoring and movement studies throughout the California Current System to understand dispersal and colonization. Our results indicate that future management of refuge islands could protect both current and historic colony locations, given the patterns of colony dynamics and the uncertainty about long-term effects of a changing ocean ecosystem and predation pressure on the status of murres.</p>","language":"English","publisher":"Marine Ornithology","usgsCitation":"Thomas, S., and Lyons, J.E., 2017, Population trends and distribution of Common Murre <i>Uria aalge</i> colonies in Washington, 1996-2015: Marine Ornithology: Journal of Seabird Research and Conservation, v. 45, no. 1, p. 95-102.","productDescription":"8 p.","startPage":"95","endPage":"102","ipdsId":"IP-079216","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":340686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340685,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1206"}],"country":"United 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,{"id":70187871,"text":"70187871 - 2017 - Long-term forest productivity","interactions":[],"lastModifiedDate":"2020-08-21T13:13:22.493612","indexId":"70187871","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Long-term forest productivity","docAbstract":"<p>No abstract available.<br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"People, forests, and change: Lessons from the Pacific Northwest","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Island Press","isbn":"9781610917667","usgsCitation":"Bormann, B.T., Perakis, S.S., Darbyshire, R., and Hatten, J., 2017, Long-term forest productivity, chap. 11 <i>of</i> People, forests, and change: Lessons from the Pacific Northwest.","ipdsId":"IP-075844","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":341799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341573,"type":{"id":15,"text":"Index Page"},"url":"https://islandpress.org/book/people-forests-and-change"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59293e95e4b016f7a94076fb","contributors":{"editors":[{"text":"Olson, Deanna H.","contributorId":114032,"corporation":false,"usgs":true,"family":"Olson","given":"Deanna","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":696174,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Van Horne, Beatrice","contributorId":59001,"corporation":false,"usgs":true,"family":"Van Horne","given":"Beatrice","email":"","affiliations":[],"preferred":false,"id":696175,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Bormann, Bernard T.","contributorId":192223,"corporation":false,"usgs":false,"family":"Bormann","given":"Bernard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":695848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perakis, Steven S. sperakis@usgs.gov","contributorId":3117,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":695847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darbyshire, Robyn","contributorId":192225,"corporation":false,"usgs":false,"family":"Darbyshire","given":"Robyn","email":"","affiliations":[],"preferred":false,"id":695850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatten, Jeff","contributorId":192224,"corporation":false,"usgs":false,"family":"Hatten","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":695849,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193454,"text":"70193454 - 2017 - Creating multithemed ecological regions for macroscale ecology: Testing a flexible, repeatable, and accessible clustering method","interactions":[],"lastModifiedDate":"2017-11-10T15:02:08","indexId":"70193454","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Creating multithemed ecological regions for macroscale ecology: Testing a flexible, repeatable, and accessible clustering method","docAbstract":"<p><span>Understanding broad-scale ecological patterns and processes often involves accounting for regional-scale heterogeneity. A common way to do so is to include ecological regions in sampling schemes and empirical models. However, most existing ecological regions were developed for specific purposes, using a limited set of geospatial features and irreproducible methods. Our study purpose was to: (1) describe a method that takes advantage of recent computational advances and increased availability of regional and global data sets to create customizable and reproducible ecological regions, (2) make this algorithm available for use and modification by others studying different ecosystems, variables of interest, study extents, and macroscale ecology research questions, and (3) demonstrate the power of this approach for the research question—How well do these regions capture regional-scale variation in lake water quality? To achieve our purpose we: (1) used a spatially constrained spectral clustering algorithm that balances geospatial homogeneity and region contiguity to create ecological regions using multiple terrestrial, climatic, and freshwater geospatial data for 17 northeastern U.S. states (~1,800,000&nbsp;km</span><sup>2</sup><span>); (2)&nbsp;identified which of the 52 geospatial features were most influential in creating the resulting 100 regions; and (3) tested the ability of these ecological regions to capture regional variation in water nutrients and clarity for ~6,000 lakes. We found that: (1) a combination of terrestrial, climatic, and freshwater geospatial features influenced region creation, suggesting that the oft-ignored freshwater landscape provides novel information on landscape variability not captured by traditionally used climate and terrestrial metrics; and (2) the delineated regions captured macroscale heterogeneity in ecosystem properties not included in region delineation—approximately 40% of the variation in total phosphorus and water clarity among lakes was at the regional scale. Our results demonstrate the usefulness of this method for creating customizable and reproducible regions for research and management applications.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2884","usgsCitation":"Cheruvelil, K.S., Yuan, S., Webster, K.E., Tan, P., Lapierre, J., Collins, S.M., Fergus, C.E., Scott, C.E., Norton Henry, E., Soranno, P.A., Filstrup, C.T., and Wagner, T., 2017, Creating multithemed ecological regions for macroscale ecology: Testing a flexible, repeatable, and accessible clustering method: Ecology and Evolution, v. 7, no. 9, p. 3046-3058, https://doi.org/10.1002/ece3.2884.","productDescription":"13 p.","startPage":"3046","endPage":"3058","ipdsId":"IP-078752","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469896,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2884","text":"Publisher Index Page"},{"id":348589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.734375,\n              35.96022296929667\n            ],\n            [\n              -66.62109375,\n              35.96022296929667\n            ],\n            [\n              -66.62109375,\n              49.03786794532644\n            ],\n            [\n              -97.734375,\n              49.03786794532644\n            ],\n            [\n              -97.734375,\n              35.96022296929667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-26","publicationStatus":"PW","scienceBaseUri":"5a06c8cee4b09af898c8612a","contributors":{"authors":[{"text":"Cheruvelil, Kendra Spence","contributorId":150607,"corporation":false,"usgs":false,"family":"Cheruvelil","given":"Kendra","email":"","middleInitial":"Spence","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":721616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yuan, Shuai","contributorId":172187,"corporation":false,"usgs":false,"family":"Yuan","given":"Shuai","affiliations":[],"preferred":false,"id":721617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webster, Katherine E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tan, Pang-Ning","contributorId":172193,"corporation":false,"usgs":false,"family":"Tan","given":"Pang-Ning","affiliations":[],"preferred":false,"id":721619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lapierre, Jean-Francois","contributorId":172182,"corporation":false,"usgs":false,"family":"Lapierre","given":"Jean-Francois","email":"","affiliations":[],"preferred":false,"id":721620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collins, Sarah M.","contributorId":172181,"corporation":false,"usgs":false,"family":"Collins","given":"Sarah","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fergus, C. Emi","contributorId":150608,"corporation":false,"usgs":false,"family":"Fergus","given":"C.","email":"","middleInitial":"Emi","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":721622,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scott, Caren E.","contributorId":172184,"corporation":false,"usgs":false,"family":"Scott","given":"Caren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721623,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Norton Henry, Emily","contributorId":200254,"corporation":false,"usgs":false,"family":"Norton Henry","given":"Emily","email":"","affiliations":[],"preferred":false,"id":721624,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721625,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Filstrup, Christopher T.","contributorId":169032,"corporation":false,"usgs":false,"family":"Filstrup","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":721626,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719125,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70191301,"text":"70191301 - 2017 - Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest","interactions":[],"lastModifiedDate":"2017-10-03T16:38:30","indexId":"70191301","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest","docAbstract":"<p><span>Across the western United States, the three primary drivers of tree mortality and carbon balance are bark beetles, timber harvest, and wildfire. While these agents of forest change frequently overlap, uncertainty remains regarding their interactions and influence on specific subsequent fire effects such as change in canopy cover. Acquisition of pre- and post-fire Light Detection and Ranging (LiDAR) data on the 2012 Pole Creek Fire in central Oregon provided an opportunity to isolate and quantify fire effects coincident with specific agents of change. This study characterizes the influence of pre-fire mountain pine beetle (MPB;&nbsp;</span><i>Dendroctonus ponderosae</i><span>) and timber harvest disturbances on LiDAR-estimated change in canopy cover. Observed canopy loss from fire was greater (higher severity) in areas experiencing pre-fire MPB (Δ 18.8%CC) than fire-only (Δ 11.1%CC). Additionally, increasing MPB intensity was directly related to greater canopy loss. Canopy loss was lower for all areas of pre-fire timber harvest (Δ 3.9%CC) than for fire-only, but among harvested areas, the greatest change was observed in the oldest treatments and the most intensive treatments [i.e., stand clearcut (Δ 5.0%CC) and combination of shelterwood establishment cuts and shelterwood removal cuts (Δ 7.7%CC)]. These results highlight the importance of accounting for and understanding the impact of pre-fire agents of change such as MPB and timber harvest on subsequent fire effects in land management planning. This work also demonstrates the utility of multi-temporal LiDAR as a tool for quantifying these landscape-scale interactions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2017.02.015","usgsCitation":"McCarley, T.R., Kolden, C.A., Vaillant, N.M., Hudak, A.T., Smith, A., and Kreitler, J.R., 2017, Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest: Forest Ecology and Management, v. 391, p. 164-175, https://doi.org/10.1016/j.foreco.2017.02.015.","productDescription":"12 p.","startPage":"164","endPage":"175","ipdsId":"IP-079599","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469889,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2017.02.015","text":"Publisher Index Page"},{"id":346372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Pole Creek Fire","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.85073852539064,\n              44.04614157509527\n            ],\n            [\n              -121.50329589843749,\n              44.04614157509527\n            ],\n            [\n              -121.50329589843749,\n              44.29043508918884\n            ],\n            [\n              -121.85073852539064,\n              44.29043508918884\n            ],\n            [\n              -121.85073852539064,\n              44.04614157509527\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"391","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1a8e4b05fe04cc4e0f7","contributors":{"authors":[{"text":"McCarley, T. Ryan","contributorId":196908,"corporation":false,"usgs":false,"family":"McCarley","given":"T.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":711891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolden, Crystal A.","contributorId":196909,"corporation":false,"usgs":false,"family":"Kolden","given":"Crystal","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaillant, Nicole M.","contributorId":196237,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":711893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudak, Andrew T.","contributorId":196022,"corporation":false,"usgs":false,"family":"Hudak","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":711894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Alistair","contributorId":196910,"corporation":false,"usgs":false,"family":"Smith","given":"Alistair","email":"","affiliations":[],"preferred":false,"id":711895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":711890,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192141,"text":"70192141 - 2017 - Reconstructing a herbivore’s diet using a novel rbcL DNA mini-barcode for plants","interactions":[],"lastModifiedDate":"2018-03-29T13:32:36","indexId":"70192141","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5538,"text":"AoB PLANTS","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing a herbivore’s diet using a novel rbcL DNA mini-barcode for plants","docAbstract":"<p><span>Next Generation Sequencing and the application of metagenomic analyses can be used to answer questions about animal diet choice and study the consequences of selective foraging by herbivores. The quantification of herbivore diet choice with respect to native versus exotic plant species is particularly relevant given concerns of invasive species establishment and their effects on ecosystems. While increased abundance of white-tailed deer (</span><i>Odocoileus virginianus</i><span>) appears to correlate with increased incidence of invasive plant species, data supporting a causal link is scarce. We used a metabarcoding approach (PCR amplicons of the plant<span>&nbsp;</span></span><i>rbc</i><span>L gene) to survey the diet of white-tailed deer (fecal samples), from a forested site in Warren County, Virginia with a comprehensive plant species inventory and corresponding reference collection of plant barcode and chloroplast sequences. We sampled fecal pellet piles and extracted DNA from 12 individual deer in October 2014. These samples were compared to a reference DNA library of plant species collected within the study area. For 72 % of the amplicons, we were able to assign taxonomy at the species level, which provides for the first time—sufficient taxonomic resolution to quantify the relative frequency at which native and exotic plant species are being consumed by white-tailed deer. For each of the 12 individual deer we collected three subsamples from the same fecal sample, resulting in sequencing 36 total samples. Using Qiime, we quantified the plant DNA found in all 36 samples, and found that variance within samples was less than variance between samples (</span><i>F</i><span> = 1.73,<span>&nbsp;</span></span><i>P</i><span> = 0.004), indicating additional subsamples may not be necessary. Species level diversity ranged from 60 to 93 OTUs per individual and nearly 70 % of all plant sequences recovered were from native plant species. The number of species detected did reduce significantly (range 4–12) when we excluded species whose OTU composed &lt;1 % of each sample’s total. When compared to the abundance of native and non-natives plants inventoried in the local community, our results support the observation that white-tailed deer have strong foraging preferences, but these preferences were not consistent for species in either class. Deer forage behaviour may favour some exotic species, but not all.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/aobpla/plx015","usgsCitation":"Erickson, D.L., Reed, E., Ramachandran, P., Bourg, N., McShea, W.J., and Ottesen, A., 2017, Reconstructing a herbivore’s diet using a novel rbcL DNA mini-barcode for plants: AoB PLANTS, v. 9, no. 3, p. 1-17, https://doi.org/10.1093/aobpla/plx015.","productDescription":"Article plx015; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-084958","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/aobpla/plx015","text":"Publisher Index Page"},{"id":352162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-21","publicationStatus":"PW","scienceBaseUri":"5afee886e4b0da30c1bfc464","contributors":{"authors":[{"text":"Erickson, David L.","contributorId":197853,"corporation":false,"usgs":false,"family":"Erickson","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Elizabeth","contributorId":197854,"corporation":false,"usgs":false,"family":"Reed","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":714430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramachandran, Padmini","contributorId":197855,"corporation":false,"usgs":false,"family":"Ramachandran","given":"Padmini","email":"","affiliations":[],"preferred":false,"id":714431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bourg, Norman 0000-0002-7443-1992 nbourg@usgs.gov","orcid":"https://orcid.org/0000-0002-7443-1992","contributorId":197809,"corporation":false,"usgs":true,"family":"Bourg","given":"Norman","email":"nbourg@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McShea, William J.","contributorId":197834,"corporation":false,"usgs":false,"family":"McShea","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ottesen, Andrea","contributorId":197856,"corporation":false,"usgs":false,"family":"Ottesen","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":714433,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70200778,"text":"70200778 - 2017 - Freshwater mussels (Unionidae): Central and West Texas Final Report","interactions":[],"lastModifiedDate":"2019-10-14T11:51:17","indexId":"70200778","displayToPublicDate":"2017-04-30T11:50:48","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Freshwater mussels (Unionidae): Central and West Texas Final Report","docAbstract":"The goal of this study was two-fold: (1) assess the taxonomic identity and phylogenetic\nplacement of Quadrula aurea (Golden Orb) [Federal Candidate], Quadrula houstonensis\n(Smooth Pimpleback) [Federal Candidate], and Quadrula petrina (Texas Pimpleback) [Federal\nCandidate] through mitochondrial and nuclear DNA sequencing; and (2) provided additional\ninformation on the distribution and abundance for mussel species petitioned for listing under\nESA through field surveys in portions of several major rivers in Central and West Texas. The\nfinal report is organized by 4 research tasks as per contract (see Appendix A) and submitted\nproposals. Below is an outline of goal-oriented tasks for this project:\n\nTask 1 – Conduct comprehensive surveys of portions of the Brazos, Colorado, and Guadalupe\nRiver basins\nTask 2 – Conduct comprehensive surveys of portions of the Rio Grande Basin\nTask 3 – Develop conservation status assessment maps for 9 state-threatened mussel species in Texas\nTask 4 – Delineate species boundaries, test for cryptic species, and assess phylogenetic\nrelationships for threatened Texas mussel species in the genus Quadrula\nNote the following 2 tasks were either not funded in the current contract or was a modification of\nthe contract and added as a project deliverable:\nTask 5 – Delineate species boundaries, test for cryptic species, and assess phylogenetic\nrelationships for east Texas mussel species in the genus Fusconaia (Not Funded)\nTask 6 – Evaluate the conservation status of Texas hornshell and other mussels in the Pecos and Devils Rivers (Contract amendment, results combined with Task 2).\n\nDetailed descriptions of the research tasks and findings are found within each chapter of the\nreport. Here, we outline and summarize project deliverables and major findings for each task.","largerWorkTitle":"Texas A&M Institute of Renewable Natural Resources","language":"English","publisher":"Texas A&M Institute of Renewable Natural Resources","usgsCitation":"Randklev, C.R., Johnson, N., Miller, T.J., Morton, J., Dudding, J., Skow, K., Boseman, B., Hart, M., Tsakiris, E., Inoue, K., and Lopez, R., 2017, Freshwater mussels (Unionidae): Central and West Texas Final Report, 321 p.","productDescription":"321 p.","ipdsId":"IP-086774","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":368307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368306,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://comptroller.texas.gov/programs/natural-resources/research/ongoing-studies/ctfm/"}],"country":"United 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,{"id":70189115,"text":"70189115 - 2017 - Different historical fire–climate patterns in California","interactions":[],"lastModifiedDate":"2017-06-30T10:03:08","indexId":"70189115","displayToPublicDate":"2017-04-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Different historical fire–climate patterns in California","docAbstract":"The relationship between annual variation in area burned and seasonal temperatures and precipitation was investigated for the major climate divisions in California. Historical analyses showed marked differences in fires on montane and foothill landscapes. Based on roughly a century of data, there are five important lessons on fire–climate relationships in California: (1) seasonal variations in temperature appear to have had minimal influence on area burned in the lower elevation, mostly non-forested, landscapes; (2) temperature has been a significant factor in controlling fire activity in higher elevation montane forests, but this varied greatly with season – winter and autumn temperatures showed no significant effect, whereas spring and summer temperatures were important determinants of area burned; (3) current season precipitation has been a strong controller of fire activity in forests, with drier years resulting in greater area burned on most United States Forest Service (USFS) lands in the state, but the effect of current-year precipitation was decidedly less on lower elevation California Department of Forestry and Fire Protection lands; (4) in largely grass-dominated foothills and valleys the magnitude of prior-year rainfall was positively tied to area burned in the following year, and we hypothesise that this is tied to greater fuel volume in the year following high rainfall. In the southern part of the state this effect has become stronger in recent decades and this likely is due to accelerated type conversion from shrubland to grassland in the latter part of the 20th century; (5) the strongest fire–climate models were on USFS lands in the Sierra Nevada Mountains, and these explained 42–52% of the variation in area burned; however, the models changed over time, with winter and spring precipitation being the primary drivers in the first half of the 20th century, but replaced by spring and summer temperatures after 1960.","language":"English","publisher":"CSIRO","doi":"10.1071/WF16102","usgsCitation":"Keeley, J.E., and Syphard, A.D., 2017, Different historical fire–climate patterns in California: International Journal of Wildland Fire, v. 26, no. 4, p. 253-268, https://doi.org/10.1071/WF16102.","productDescription":"16 p.","startPage":"253","endPage":"268","ipdsId":"IP-076455","costCenters":[{"id":651,"text":"Western Ecological Research 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,{"id":70188844,"text":"70188844 - 2017 - Instrumentation development for In Situ 40Ar/39Ar planetary geochronology","interactions":[],"lastModifiedDate":"2017-08-09T17:14:18","indexId":"70188844","displayToPublicDate":"2017-04-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Instrumentation development for In Situ <sup>40</sup>Ar/ <sup>39</sup> Ar planetary geochronology","title":"Instrumentation development for In Situ 40Ar/39Ar planetary geochronology","docAbstract":"<p><span>The chronology of the Solar System, particularly the timing of formation of extra-terrestrial bodies and their features, is an outstanding problem in planetary science. Although various chronological methods for </span><i>in&nbsp;situ</i><span> geochronology have been proposed (e.g., Rb-Sr, K-Ar), and even applied (K-Ar), the reliability, accuracy, and applicability of the </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar method makes it by far the most desirable chronometer for dating extra-terrestrial bodies. The method however relies on the neutron irradiation of samples, and thus a neutron source. Herein, we discuss the challenges and feasibility of deploying a passive neutron source to planetary surfaces for the </span><i>in&nbsp;situ</i><span> application of the </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar chronometer. Requirements in generating and shielding neutrons, as well as analysing samples are described, along with an exploration of limitations such as mass, power and cost. Two potential solutions for the </span><i>in&nbsp;situ</i><span> extra-terrestrial deployment of the </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar method are presented. Although this represents a challenging task, developing the technology to apply the </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar method on planetary surfaces would represent a major advance towards constraining the timescale of solar system formation and evolution.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ggr.12170","usgsCitation":"Morgan, L.E., Munk, M., Davidheiser-Kroll, B., Warner, N.H., Gupta, S., Slaybaugh, R., Harkness, P., and Mark, D., 2017, Instrumentation development for In Situ 40Ar/39Ar planetary geochronology: Geostandards and Geoanalytical Research, v. 41, no. 3, p. 381-396, https://doi.org/10.1111/ggr.12170.","productDescription":"16 p. ","startPage":"381","endPage":"396","ipdsId":"IP-064656","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469899,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ggr.12170","text":"Publisher Index Page"},{"id":342879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-30","publicationStatus":"PW","scienceBaseUri":"59521d1fe4b062508e3c3665","contributors":{"authors":[{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munk, Madicken","contributorId":193498,"corporation":false,"usgs":false,"family":"Munk","given":"Madicken","email":"","affiliations":[],"preferred":false,"id":700626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davidheiser-Kroll, Brett","contributorId":176175,"corporation":false,"usgs":false,"family":"Davidheiser-Kroll","given":"Brett","email":"","affiliations":[],"preferred":false,"id":700627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, Nicholas H.","contributorId":193499,"corporation":false,"usgs":false,"family":"Warner","given":"Nicholas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":700628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gupta, Sanjeev","contributorId":172302,"corporation":false,"usgs":false,"family":"Gupta","given":"Sanjeev","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":700629,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slaybaugh, Rachel","contributorId":193500,"corporation":false,"usgs":false,"family":"Slaybaugh","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":700630,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harkness, Patrick","contributorId":193501,"corporation":false,"usgs":false,"family":"Harkness","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":700631,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mark, Darren","contributorId":193502,"corporation":false,"usgs":false,"family":"Mark","given":"Darren","affiliations":[],"preferred":false,"id":700632,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70197036,"text":"70197036 - 2017 - Comparative precision of age estimates from two southern reservoir populations of paddlefish [Polyodon spathula (Walbaum, 1792)]","interactions":[],"lastModifiedDate":"2018-05-15T09:20:14","indexId":"70197036","displayToPublicDate":"2017-04-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparative precision of age estimates from two southern reservoir populations of paddlefish [<i>Polyodon spathula</i> (Walbaum, 1792)]","title":"Comparative precision of age estimates from two southern reservoir populations of paddlefish [Polyodon spathula (Walbaum, 1792)]","docAbstract":"<p><span>The aim of the study was to determine whether location and sex affected the age precision estimates between two southern, reservoir populations of paddlefish [</span><i>Polyodon spathula</i><span><span>&nbsp;</span>(Walbaum, 1792)]. From 589 paddlefish collected in Grand Lake and Keystone Lake, Oklahoma in 2011, ages from dentaries were estimated using three independent readers and precision was compared with coefficient of variation between locations and sexes. Ages were more precisely estimated from Grand Lake and from females.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jai.13394","usgsCitation":"Long, J.M., and Nealis, A., 2017, Comparative precision of age estimates from two southern reservoir populations of paddlefish [Polyodon spathula (Walbaum, 1792)]: Journal of Applied Ichthyology, v. 33, no. 4, p. 819-820, https://doi.org/10.1111/jai.13394.","productDescription":"2 p.","startPage":"819","endPage":"820","ipdsId":"IP-069058","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469898,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13394","text":"Publisher Index Page"},{"id":354164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Grand Lake, Keystone Lake","geographicExtents":"{\n  \"type\": 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,{"id":70187310,"text":"70187310 - 2017 - Ecological regime shift drives declining growth rates of sea turtles throughout the West Atlantic","interactions":[],"lastModifiedDate":"2017-10-08T11:38:18","indexId":"70187310","displayToPublicDate":"2017-04-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological regime shift drives declining growth rates of sea turtles throughout the West Atlantic","docAbstract":"<p>Somatic growth is an integrated, individual-based response to environmental conditions, especially in ectotherms. Growth dynamics of large, mobile animals are particularly useful as bio-indicators of environmental change at regional scales. We assembled growth rate data from throughout the West Atlantic for green turtles, <i>Chelonia mydas</i>, which are long-lived, highly migratory, primarily herbivorous mega-consumers that may migrate over hundreds to thousands of kilometers. Our dataset, the largest ever compiled for sea turtles, has 9690 growth increments from 30 sites from Bermuda to Uruguay from 1973 to 2015. Using generalized additive mixed models, we evaluated covariates that could affect growth rates; body size, diet, and year have significant effects on growth. Growth increases in early years until 1999, then declines by 26% to 2015. The temporal (year) effect is of particular interest because two carnivorous species of sea turtles – hawksbills, <i>Eretmochelys imbricata,</i> and loggerheads, <i>Caretta caretta</i> – exhibited similar significant declines in growth rates starting in 1997 in the West Atlantic, based on previous studies. These synchronous declines in productivity among three sea turtle species across a trophic spectrum provide strong evidence that an ecological regime shift (ERS) in the Atlantic is driving growth dynamics. The ERS resulted from a synergy of the 1997/1998 El Niño Southern Oscillation (ENSO) – the strongest on record – combined with an unprecedented warming rate over the last two to three decades. Further support is provided by the strong correlations between annualized mean growth rates of green turtles and both sea surface temperatures (SST) in the West Atlantic for years of declining growth rates (<i>r</i> = -0.94) and the Multivariate ENSO Index (MEI) for all years (<i>r</i> = 0.74). Granger-causality analysis also supports the latter finding. We discuss multiple stressors that could reinforce and prolong the effect of the ERS. This study demonstrates the importance of region-wide collaborations.</p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13712","usgsCitation":"Bjorndal, K.A., Bolten, A.B., Chaloupka, M., Saba, V.S., Bellini, C., Marcovaldi, M.A., Santos, A.J., Bortolon, L.F., Meylan, A.B., Meylan, P.A., Gray, J., Hardy, R., Brost, B., Bresette, M., Gorham, J.C., Connett, S., Crouchley, B.V., Dawson, M., Hayes, D., Diez, C.E., van Dam, R.P., Willis, S., Nava, M., Hart, K.M., Cherkiss, M.S., Crowder, A., Pollock, C., Hillis-Starr, Z., Munoz Teneria, F.A., Herrera-Pavon, R., Labrada-Martagon, V., Lorences, A., Negrete-Philippe, A., Lamont, M.M., Foley, A., Bailey, R., Carthy, R.R., Scarpino, R., McMichael, E., Provancha, J.A., Brooks, A., Jardim, A., Lopez-Mendilaharsu, M., Gonzalez-Paredes, D., Estrades, A., Fallabrino, A., Martinez-Souza, G., Velez-Rubio, G.M., Boulon, R., Collazo, J., Wershoven, R., Hernandez, V.G., Stringell, T.B., Sanghera, A., Richardson, P.B., Broderick, A.C., Phillips, Q., Calosso, M.C., Claydon, J.A., Metz, T.L., Gordon, A.L., Landry, A.M., Shaver, D.J., Blumenthal, J., Collyer, L., Godley, B.J., McGowan, A., Witt, M.J., Campbell, C.L., Lagueux, C.J., Bethel, T.L., and Kenyon, L., 2017, Ecological regime shift drives declining growth rates of sea turtles throughout the West Atlantic: Global Change Biology, v. 23, no. 11, p. 4556-4568, https://doi.org/10.1111/gcb.13712.","productDescription":"13 p.","startPage":"4556","endPage":"4568","ipdsId":"IP-082634","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":340590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Atlantic Ocean","volume":"23","issue":"11","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5904549ae4b022cee40dc218","contributors":{"authors":[{"text":"Bjorndal, Karen 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,{"id":70189697,"text":"70189697 - 2017 - Subsequent-year recaptures at winter sites in three species of shrubland sparrows (Emberizidae)","interactions":[],"lastModifiedDate":"2017-11-22T17:04:47","indexId":"70189697","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Subsequent-year recaptures at winter sites in three species of shrubland sparrows (Emberizidae)","docAbstract":"<p>The tendency by individual birds to return to winter sites in subsequent years can be important in assessing the potential influence of habitat changes during the nonbreeding period. We recaptured five Brewer's (<i>Spizella breweri</i>), seven sagebrush (<i>Artemisiospiza nevadensis</i>), and three black-throated (<i>Amphispiza bilineata</i>) sparrows from 1–3 subsequent years at the same winter location following their initial capture. Two Brewer's and one sagebrush sparrow returned to the same winter location at least 4 years after their initial capture. Levels of feather deuterium indicated that birds captured together on winter sites had different breeding ranges. Although individuals of these species returned to specific sites used in previous years, the low recapture rate suggests that wintering individuals may use an itinerant strategy adapted to seasonal food resources.</p>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-62.2.165","usgsCitation":"Knick, S.T., Leu, M., and Hanser, S.E., 2017, Subsequent-year recaptures at winter sites in three species of shrubland sparrows (Emberizidae): Southwestern Naturalist, v. 62, no. 2, p. 121-125, https://doi.org/10.1894/0038-4909-62.2.165.","productDescription":"5 p. ","startPage":"121","endPage":"125","ipdsId":"IP-066356","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":344133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.5205078125,\n              31.80289258670676\n            ],\n            [\n              -102.4365234375,\n              31.80289258670676\n            ],\n            [\n              -102.4365234375,\n              37.96152331396614\n            ],\n            [\n              -118.5205078125,\n              37.96152331396614\n            ],\n            [\n              -118.5205078125,\n              31.80289258670676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5971c1c2e4b0ec1a4885dac3","contributors":{"authors":[{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":705852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leu, Matthias 0000-0002-4290-7212","orcid":"https://orcid.org/0000-0002-4290-7212","contributorId":194938,"corporation":false,"usgs":false,"family":"Leu","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":705854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":705853,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187244,"text":"70187244 - 2017 - Using a full annual cycle model to evaluate long-term population viability of the conservation-reliant Kirtland's warbler after successful recovery","interactions":[],"lastModifiedDate":"2017-04-28T13:30:30","indexId":"70187244","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using a full annual cycle model to evaluate long-term population viability of the conservation-reliant Kirtland's warbler after successful recovery","docAbstract":"<ol id=\"jpe12776-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Long-term management planning for conservation-reliant migratory songbirds is particularly challenging because habitat quality in different stages and geographic locations of the annual cycle can have direct and carry-over effects that influence the population dynamics. The Neotropical migratory songbird Kirtland's warbler <i>Setophaga kirtlandii</i> (Baird 1852) is listed as endangered under the U.S. Endangered Species Act and Near Threatened under the IUCN Red List. This conservation-reliant species is being considered for U.S. federal delisting because the species has surpassed the designated 1000 breeding pairs recovery threshold since 2001.</li><li>To help inform the delisting decision and long-term management efforts, we developed a population simulation model for the Kirtland's warbler that incorporated both breeding and wintering grounds habitat dynamics, and projected population viability based on current environmental conditions and potential future management scenarios. Future management scenarios included the continuation of current management conditions, reduced productivity and carrying capacity due to the changes in habitat suitability from the creation of experimental jack pine <i>Pinus banksiana</i> (Lamb.) plantations, and reduced productivity from alteration of the brown-headed cowbird <i>Molothrus ater</i> (Boddaert 1783) removal programme.</li><li>Linking wintering grounds precipitation to productivity improved the accuracy of the model for replicating past observed population dynamics. Our future simulations indicate that the Kirtland's warbler population is stable under two potential future management scenarios: (i) continuation of current management practices and (ii) spatially restricting cowbird removal to the core breeding area, assuming that cowbirds reduce productivity in the remaining patches by ≤41%. The additional future management scenarios we assessed resulted in population declines.</li><li><i>Synthesis and applications</i>. Our study indicates that the Kirtland's warbler population is stable under current management conditions and that the jack pine plantation and cowbird removal programmes continue to be necessary for the long-term persistence of the species. This study represents one of the first attempts to incorporate full annual cycle dynamics into a population viability analysis for a migratory bird, and our results indicate that incorporating wintering grounds dynamics improved the model performance.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12776","usgsCitation":"Brown, D., Ribic, C., Donner, D.M., Nelson, M.D., Bocetti, C.I., and Deloria-Sheffield, C.M., 2017, Using a full annual cycle model to evaluate long-term population viability of the conservation-reliant Kirtland's warbler after successful recovery: Journal of Applied Ecology, v. 54, no. 2, p. 439-449, https://doi.org/10.1111/1365-2664.12776.","productDescription":"11 p.","startPage":"439","endPage":"449","ipdsId":"IP-065679","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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M.","contributorId":84875,"corporation":false,"usgs":true,"family":"Deloria-Sheffield","given":"Christie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693499,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190190,"text":"70190190 - 2017 - High sensitivity of gross primary production in the Rocky Mountains to summer rain","interactions":[],"lastModifiedDate":"2017-08-16T17:26:47","indexId":"70190190","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"High sensitivity of gross primary production in the Rocky Mountains to summer rain","docAbstract":"<p><span>In the catchments of the Rocky Mountains, peak snowpack is declining in response to warmer spring temperatures. To understand how this will influence terrestrial gross primary production (GPP), we compared precipitation data across the intermountain west with satellite retrievals of solar-induced fluorescence (SIF), a proxy for GPP. Annual precipitation patterns explained most of the spatial and temporal variability of SIF, but the slope of the response was dependent on site to site differences in the proportion of snowpack to summer rain. We separated the response of SIF to different seasonal precipitation amounts and found that SIF was approximately twice as sensitive to variations in summer rain than snowpack. The response of peak GPP to a secular decline in snowpack will likely be subtle, whereas a change in summer rain amount will have precipitous effects on GPP. The study suggests that the rain use efficiency of Rocky Mountain ecosystems is strongly dependent on precipitation form and timing.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL072495","usgsCitation":"Berkelhammer, M., Stefanescu, I., Joiner, J., and Anderson, L., 2017, High sensitivity of gross primary production in the Rocky Mountains to summer rain: Geophysical Research Letters, v. 44, no. 8, p. 3643-3652, https://doi.org/10.1002/2016GL072495.","productDescription":"10 p.","startPage":"3643","endPage":"3652","ipdsId":"IP-082491","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":482066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl072495","text":"Publisher Index Page"},{"id":344912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-30","publicationStatus":"PW","scienceBaseUri":"599559bbe4b0fe2b9fea6c44","contributors":{"authors":[{"text":"Berkelhammer, M.","contributorId":152270,"corporation":false,"usgs":false,"family":"Berkelhammer","given":"M.","affiliations":[{"id":18133,"text":"University of Illinois Chicago","active":true,"usgs":false}],"preferred":false,"id":707882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stefanescu, I.C.","contributorId":195687,"corporation":false,"usgs":false,"family":"Stefanescu","given":"I.C.","email":"","affiliations":[],"preferred":false,"id":707883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joiner, J.","contributorId":195688,"corporation":false,"usgs":false,"family":"Joiner","given":"J.","email":"","affiliations":[],"preferred":false,"id":707884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":707881,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187323,"text":"70187323 - 2017 - Seawater-flooding events and impact on freshwater lenses of low-lying islands: Controlling factors, basic management and mitigation","interactions":[],"lastModifiedDate":"2017-08-09T17:08:57","indexId":"70187323","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Seawater-flooding events and impact on freshwater lenses of low-lying islands: Controlling factors, basic management and mitigation","docAbstract":"<p id=\"sp0010\">An unprecedented set of hydrologic observations was collected after the Dec 2008 seawater-flooding event on Roi-Namur, Kwajalein Atoll, Republic of the Marshall Islands. By two days after the seawater flooding that occurred at the beginning of dry season, the observed salinity of water withdrawn by the island’s main skimming well increased to 100% seawater concentration, but by ten days later already decreased to only 10–20% of seawater fraction. However, the damaging impact on the potability of the groundwater supply (when pumped water had concentrations above 1% seawater fraction) lasted 22&nbsp;months longer. The data collected make possible analyses of the hydrologic factors that control recovery and management of the groundwater-supply quality on Roi-Namur and on similar low-lying islands.</p><p id=\"sp0015\">With the observed data as a guide, three-dimensional numerical-model simulation analyses reveal how recovery is controlled by the island’s hydrology. These also allow evaluation of the efficacy of basic water-quality management/mitigation alternatives and elucidate how groundwater withdrawal and timing of the seawater-flooding event affect the length of recovery. Simulations show that, as might be expected, by adding surplus captured rainwater as artificial recharge, the freshwater-lens recovery period (after which potable groundwater may again be produced) can be shortened, with groundwater salinity remaining lower even during the dry season, a period during which no artificial recharge is applied. Simulations also show that the recovery period is not lengthened appreciably by groundwater withdrawals during recovery. Simulations further show that had the flooding event occurred at the start of the wet season, the recovery period would have been about 25% (5.5&nbsp;months) shorter than actually occurred during the monitored flood that occurred at the dry-season start. Finally, analyses show that artificial recharge improves freshwater-lens water quality, making possible longer use of groundwater as a water supply throughout each year, even when no seawater flooding has occurred.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.03.001","usgsCitation":"Gingerich, S.B., Voss, C.I., and Johnson, A.G., 2017, Seawater-flooding events and impact on freshwater lenses of low-lying islands: Controlling factors, basic management and mitigation: Journal of Hydrology, v. 551, p. 676-688, https://doi.org/10.1016/j.jhydrol.2017.03.001.","productDescription":"13 p.","startPage":"676","endPage":"688","ipdsId":"IP-079924","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":469900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2017.03.001","text":"Publisher Index Page"},{"id":340578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"551","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5904549fe4b022cee40dc21c","contributors":{"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":693330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":693332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":693331,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187349,"text":"70187349 - 2017 - Controls on the chemical composition of saline surface crusts and emitted dust from a wet playa in the Mojave Desert (USA)","interactions":[],"lastModifiedDate":"2017-05-01T14:55:44","indexId":"70187349","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Controls on the chemical composition of saline surface crusts and emitted dust from a wet playa in the Mojave Desert (USA)","docAbstract":"<p><span>Saline-surface crusts and their compositions at ephemeral, dry, and drying lakes are important products of arid-land processes. Detailed understanding is lacking, however, about interactions among locally variable hydrogeologic conditions, compositional control of groundwater on vadose zone and surface salts, and dust composition. Chemical and physical data from groundwater, sediments, and salts reveal compositional controls on saline-surface crusts across a wet playa, Mojave Desert, with bearing on similar settings elsewhere. The compositions of chemically and isotopically distinctive shallow (&lt;3&nbsp;m) water masses are recorded in the composition of associated salts. In areas with deeper and more saline groundwater, however, not all ions are transported through the vadose zone. Retention of arsenic and other elements in the vadose zone diminishes the concentrations of potentially toxic elements in surface salts, but creates a reservoir of these elements that may be brought to the surface during wetter conditions or by human disturbance. Selective wind-erosion loss of sulfate salts was identified by the compositional contrast between surface salt crusts and underlying groundwater. At the sub-basin scale, compositional links exist among groundwater, salt crusts, and dust from wet playas. Across the study basin, however, lateral variations in groundwater and solid-salt compositions are produced by hydrogeologic heterogeneity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2017.01.010","usgsCitation":"Goldstein, H.L., Breit, G.N., and Reynolds, R.L., 2017, Controls on the chemical composition of saline surface crusts and emitted dust from a wet playa in the Mojave Desert (USA): Journal of Arid Environments, v. 140, p. 50-66, https://doi.org/10.1016/j.jaridenv.2017.01.010.","productDescription":"17 p.","startPage":"50","endPage":"66","ipdsId":"IP-069494","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469901,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2017.01.010","text":"Publisher Index Page"},{"id":340634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.57455444335936,\n              36.13787471840729\n            ],\n            [\n              -116.224365234375,\n              36.13787471840729\n            ],\n            [\n              -116.224365234375,\n              36.667317387570925\n            ],\n            [\n              -116.57455444335936,\n              36.667317387570925\n            ],\n            [\n              -116.57455444335936,\n              36.13787471840729\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"140","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5904549ee4b022cee40dc21a","contributors":{"authors":[{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":693576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":693577,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187314,"text":"70187314 - 2017 - A practical method for the determination of total selenium in environmental samples using isotope dilution-hydride generation-inductively coupled plasma-mass spectrometry","interactions":[],"lastModifiedDate":"2017-04-28T15:33:14","indexId":"70187314","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2622,"text":"Limnology and Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"title":"A practical method for the determination of total selenium in environmental samples using isotope dilution-hydride generation-inductively coupled plasma-mass spectrometry","docAbstract":"<p><span>A safe, practical, and accurate method for the determination of selenium (Se) in range of environmental samples was developed. Small sample masses, 5–20 mg, were amended with </span><sup>82</sup><span>Se enriched isotope for the isotope dilution (ID), preceding a multi-step wet digestion with nitric acid (HNO</span><sub>3</sub><span>) and hydrogen peroxide (H</span><sub>2</sub><span>O</span><sub>2</sub><span>). Samples were incubated in an autoclave for 3 h at 20 psi and 126°C. Digestates were subsequently reduced with concentrated hydrochloric acid to Se(IV) the most favorable valence for hydride generation (HG). The solutions were then analyzed on an ICP-MS equipped with Flow Injection system (FIAS-400). Polyatomic, isobaric, and background interferences were removed through the use of HG and ID with an </span><sup>82</sup><span>Se enriched isotope spike. Recoveries for certified reference materials were determined and averaged 96% for biological tissues (NRCC DOLT3, DOLT4, DORM2, TORT2, and TORT3, and NIST 2976) and 108% for estuarine sediment (NRCC PACS2) with an average coefficient of variation for replicate measurements of ∼ 3.5%. Limit of detection was 0.13 ng Se g</span><sup>−1</sup><span> dry weight or 0.19 ng Se L</span><sup>−1</sup><span>. This method can be broadly applied to biological tissues, sediments, suspended particulates, and water samples with minimal modifications making this method highly useful for assessing the ecotoxicology of total Se in aquatic ecosystems.</span></p>","language":"English","publisher":"ASLO","doi":"10.1002/lom3.10164","usgsCitation":"Kleckner, A., Kakouros, E., and Stewart, A., 2017, A practical method for the determination of total selenium in environmental samples using isotope dilution-hydride generation-inductively coupled plasma-mass spectrometry: Limnology and Oceanography: Methods, v. 15, no. 4, p. 363-371, https://doi.org/10.1002/lom3.10164.","productDescription":"9 p.","startPage":"363","endPage":"371","ipdsId":"IP-076493","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":461625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.10164","text":"Publisher Index Page"},{"id":340630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-11","publicationStatus":"PW","scienceBaseUri":"590454a0e4b022cee40dc21e","contributors":{"authors":[{"text":"Kleckner, Amy E.","contributorId":191501,"corporation":false,"usgs":false,"family":"Kleckner","given":"Amy E.","affiliations":[],"preferred":false,"id":693312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":693313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, A. Robin 0000-0003-2918-546X","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":82436,"corporation":false,"usgs":true,"family":"Stewart","given":"A. Robin","affiliations":[],"preferred":false,"id":693311,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70170060,"text":"sim3356 - 2017 - Geologic map of Meridiani Planum, Mars","interactions":[],"lastModifiedDate":"2023-03-20T18:09:16.256306","indexId":"sim3356","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3356","title":"Geologic map of Meridiani Planum, Mars","docAbstract":"<h1>Introduction and Background</h1><p><span>The Meridiani Planum region of Mars—originally named due to its proximity to the Martian prime meridian—contains a variety of geologic units, including those that are crater‑related, that span the Early Noachian to Late Amazonian Epochs. Mars Global Surveyor (MGS) data indicate this area contains extensive layered deposits, some of which are rich in the mineral hematite. The National Aeronautics and Space Administration’s (NASA) Mars Exploration Rover (MER)&nbsp; <i>Opportunity&nbsp;</i> landed in Meridiani Planum in early 2004 and, at the time of this writing, is still conducting operations. A variety of water-altered bedrock outcrops have been studied and contain indications of prolonged surface and near-surface fluid/rock interactions. The purpose of this study is to use the more recent orbiter data to place the rover’s findings in a broader context by assessing the geologic and hydrologic histories of the region.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3356","collaboration":"Prepared in cooperation with the National Aeronautics and Space Administration","usgsCitation":"Hynek, B.M., and Di Achille, G., 2017, Geologic map of Meridiani Planum, Mars (ver. 1.1, April 2017): U.S. Geological Survey Scientific Investigations Map 3356, pamphlet 9 p., scale 1:2,000,000, https://doi.org/10.3133/sim3356.","productDescription":"Pamphlet: i, 9 p.; Sheet: 55.90 x 40.00 inches; Metadata; Spatial Data","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-070106","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":438359,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DG4NAB","text":"USGS data release","linkHelpText":"Interactive Map: USGS SIM 3356 Geologic Map of Meridiani Planum"},{"id":405428,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P9DG4NAB","text":"Interactive Web Map","description":"Hynek, B.M., and Di Achille, G., 2017, Geologic map of Meridiani Planum, Mars (ver. 1.1, April 2017): U.S. Geological Survey Scientific Investigations Map 3356, pamphlet 9 p., scale 1:2,000,000, https://doi.org/10.3133/sim3356","linkHelpText":"- Geologic Map of Meridiani Planum, Mars, 1:2M. Hynek and Di Achille (2017)"},{"id":340635,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3356/sim3356_revHistory.txt","text":"Version history","size":"12.5 KB","linkFileType":{"id":2,"text":"txt"}},{"id":334386,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3356/sim3356_sheet1.pdf","text":"Map","size":"25.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3356"},{"id":334388,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3356/sim3356_metadata.txt","text":"Metadata","size":"12.4 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3356 Metadata"},{"id":334387,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3356/sim3356_pamphlet.pdf","text":"Pamphlet","size":"598 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3356 Pamphlet"},{"id":334385,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3356/coverthb.jpg"},{"id":334389,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3356/sim3356_gis.zip","text":"GIS Data","size":"293 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3356 GIS"}],"edition":"Version 1.0: Originally posted January 31, 2017; Version 1.1: April 28, 2017","contact":"<div><a href=\"http://astrogeology.usgs.gov/About/People/%22%20%5Ct%20%22_blank\" target=\"_blank\" data-mce-href=\"http://astrogeology.usgs.gov/About/People/%22%20%5Ct%20%22_blank\">Contact Astrogeology Research Program staff</a>&nbsp; &nbsp;<br></div><div>Astrogeology Science Center</div><div>U.S. Geological Survey&nbsp;</div><div>2255 N. Gemini Dr.&nbsp;</div><div>Flagstaff, AZ 86001&nbsp;</div><div><a href=\"http://astrogeology.usgs.gov/%22%20%5Ct%20%22_blank\" target=\"_blank\" data-mce-href=\"http://astrogeology.usgs.gov/%22%20%5Ct%20%22_blank\">https://astrogeology.usgs.gov/</a></div>","tableOfContents":"<ul><li>Introduction and Background<br></li><li>Data<br></li><li>Mapping Methods<br></li><li>Geologic History<br></li><li>Acknowledgments<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-01-31","revisedDate":"2017-04-28","noUsgsAuthors":false,"publicationDate":"2017-01-31","publicationStatus":"PW","scienceBaseUri":"5891b0a7e4b072a7ac1298e9","contributors":{"authors":[{"text":"Hynek, Brian M.","contributorId":168443,"corporation":false,"usgs":false,"family":"Hynek","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":25291,"text":"University of Colorada","active":true,"usgs":false}],"preferred":false,"id":625970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Achille, Gaetano","contributorId":168444,"corporation":false,"usgs":false,"family":"Di Achille","given":"Gaetano","email":"","affiliations":[{"id":25292,"text":"Istituo Nazionale de Astrofisica, Teramo, Italy","active":true,"usgs":false}],"preferred":false,"id":625971,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186764,"text":"ofr20171039 - 2017 - Precipitation thresholds for landslide occurrence near Seattle, Mukilteo, and Everett, Washington","interactions":[],"lastModifiedDate":"2017-04-27T12:58:49","indexId":"ofr20171039","displayToPublicDate":"2017-04-27T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1039","title":"Precipitation thresholds for landslide occurrence near Seattle, Mukilteo, and Everett, Washington","docAbstract":"<p>Shallow landslides along coastal bluffs frequently occur in the railway corridor between Seattle and Everett, Washington. These slides disrupt passenger rail service, both because of required track maintenance and because the railroad owner, Burlington Northern Santa Fe Railway, does not allow passenger travel for 48 hours after a disruptive landslide. Sound Transit, which operates commuter trains in the corridor, is interested in a decision-making tool to help preemptively cancel passenger railway service in dangerous conditions and reallocate resources to alternative transportation.</p><p>Statistical analysis showed that a majority of landslides along the Seattle-Everett Corridor are strongly correlated with antecedent rainfall, but that 21-37 percent of recorded landslide dates experienced less than 1 inch of precipitation in the 3 days preceding the landslide and less than 4 inches of rain in the 15 days prior to the preceding 3 days. We developed two empirical thresholds to identify precipitation conditions correlated with landslide occurrence. The two thresholds are defined as <i>P<sub>3</sub> = 2.16-0.44P<sub>15</sub></i> and <i>P<sub>3</sub> = 2.16-0.22P<sub>32</sub></i>, where <i>P<sub>3</sub></i> is the cumulative precipitation in the 3 days prior to the considered date and <i>P<sub>15</sub></i> or <i>P<sub>32</sub></i> is the cumulative precipitation in the 15 days or 32 days prior to <i>P<sub>3</sub></i> (all measurements given in inches). The two thresholds, when compared to a previously developed threshold, quantitatively improve the prediction rate.</p><p>We also investigated rainfall intensity-duration (ID) thresholds to determine whether revision would improve identification of moderate-intensity, landslide-producing storms. New, optimized ID thresholds evaluate rainstorms lasting at least 12 hours and identify landslide-inducing storms that were typically missed by previously published ID thresholds. The main advantage of the ID thresholds appears when they are combined with recent-antecedent thresholds because rainfall conditions that exceed both threshold types are more likely to induce two or more landslides than conditions that exceed only one threshold type.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171039","collaboration":"Prepared in cooperation with Sound Transit","usgsCitation":"Scheevel, C.R., Baum, R.L., Mirus, B.B., and Smith, J.B., 2017, Precipitation thresholds for landslide occurrence near Seattle, Mukilteo, and Everett, Washington: U.S. Geological Survey Open-File Report 2017–1039, 51 p., https://doi.org/10.3133/ofr20171039.","productDescription":"vi, 51 p.","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-082570","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":340454,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1039/coverthb.jpg"},{"id":340455,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1039/ofr20171039.pdf","text":"Report","size":"8.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1039"}],"country":"United States","state":"Washington","city":"Everett, Mukilteo, Seattle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123,\n              48.3\n            ],\n            [\n              -122,\n              48.3\n            ],\n            [\n              -122,\n              47.3\n            ],\n            [\n              -123,\n              47.3\n            ],\n            [\n              -123,\n              48.3\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Geologic Hazards Science Center<br>U.S. Geological Survey<br>Box 25046, MS–966<br>Denver, CO 80225-0046</p><p><a href=\"https://www.usgs.gov/centers/geohazards/\" data-mce-href=\"https://www.usgs.gov/centers/geohazards/\">https://www.usgs.gov/centers/geohazards/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Materials and Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Landslide Date Inventories</li><li>Appendix 2. Intensity-Duration Threshold Conditions</li><li>Appendix 3. Support Figures for Everett and Mukilteo Datasets</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-04-27","noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","scienceBaseUri":"59030323e4b0e862d230f715","contributors":{"authors":[{"text":"Scheevel, Caroline R. 0000-0001-6921-9404 cscheevel@usgs.gov","orcid":"https://orcid.org/0000-0001-6921-9404","contributorId":190723,"corporation":false,"usgs":true,"family":"Scheevel","given":"Caroline","email":"cscheevel@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":693034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":690493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":690494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":690495,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264981,"text":"70264981 - 2017 - Closure to “Dimensionless erosion laws for cohesive sediment” By Joseph S. Walder","interactions":[],"lastModifiedDate":"2025-03-27T15:15:48.572118","indexId":"70264981","displayToPublicDate":"2017-04-27T10:13:17","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Closure to “Dimensionless erosion laws for cohesive sediment” By Joseph S. Walder","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HY.1943-7900.0001323","usgsCitation":"Walder, J.S., 2017, Closure to “Dimensionless erosion laws for cohesive sediment” By Joseph S. Walder: Journal of Hydraulic Engineering, v. 143, no. 9, 07017004-1, https://doi.org/10.1061/(ASCE)HY.1943-7900.0001323.","productDescription":"07017004-1","ipdsId":"IP-080856","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1061/(asce)hy.1943-7900.0001323","text":"Publisher Index Page"},{"id":483946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"9","noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Walder, Joseph S. 0000-0003-3523-2998 jswalder@usgs.gov","orcid":"https://orcid.org/0000-0003-3523-2998","contributorId":247681,"corporation":false,"usgs":true,"family":"Walder","given":"Joseph","email":"jswalder@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":932161,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70220236,"text":"70220236 - 2017 - Ongoing efforts to make ash-cloud model forecasts more accurate","interactions":[],"lastModifiedDate":"2021-04-28T13:38:32.531596","indexId":"70220236","displayToPublicDate":"2017-04-27T08:27:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesNumber":"MP-AVT-272-15","title":"Ongoing efforts to make ash-cloud model forecasts more accurate","docAbstract":"The 2010 eruption of Eyjafjallajökull volcano in Iceland changed the rules for air travel in Europe and introduced the use of restricted fly zones based on ash-cloud concentrations calculated by dispersion models. This change prompted a sustained effort to improve the accuracy of ash-cloud model forecasts. In this paper we describe how this goal is being advanced on three fronts: (1) assessing current capabilities and establishing best practices; (2) improving the accuracy of model inputs; and (3) developing strategies to automatically compare model output with observations and adjust inputs to produce the best match. Progress has been made on all three fronts. A key lesson is that accuracy can only be quantified by comparison with reliable observations, which are often elusive. Model improvements will have to be made in tandem with new technologies to observe and measure.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of impact of volcanic ash clouds on military operations","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"NATO","usgsCitation":"Mastin, L.G., Van Eaton, A.R., Schneider, D.J., and Denlinger, R.P., 2017, Ongoing efforts to make ash-cloud model forecasts more accurate, <i>in</i> Proceedings of impact of volcanic ash clouds on military operations, 12 p.","productDescription":"12 p.","ipdsId":"IP-084844","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true},{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":385354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385343,"type":{"id":15,"text":"Index Page"},"url":"https://www.sto.nato.int/publications/STO%20Meeting%20Proceedings/Forms/All%20MPs.aspx?RootFolder=%2Fpublications%2FSTO%20Meeting%20Proceedings%2FSTO%2DMP%2DAVT%2D272&FolderCTID=0x0120D5200078F9E87043356C409A0D30823AFA16F602008CF184CAB7588E468F5E9FA364E05BA5&View=%7B72ED425F-C31F-451C-A545-41122BBA61A7%7D"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":814869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":814870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":814871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":814872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70249722,"text":"70249722 - 2017 - Pore network modeling of the electrical signature of solute transport in dual-domain media","interactions":[],"lastModifiedDate":"2023-10-25T12:18:31.73919","indexId":"70249722","displayToPublicDate":"2017-04-27T07:15:36","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Pore network modeling of the electrical signature of solute transport in dual-domain media","docAbstract":"<div class=\"article-section__content en main\"><p>Dual-domain models are used to explain anomalous solute transport behavior observed in diverse hydrologic settings and applications, from groundwater remediation to hyporheic exchange. To constrain such models, new methods are needed with sensitivity to both immobile and mobile domains. Recent experiments indicate that dual-domain transport of ionic tracers has an observable geoelectrical signature, appearing as a nonlinear, hysteretic relation between paired bulk and fluid electrical conductivity. Here we present a mechanistic explanation for this geoelectrical signature and evaluate assumptions underlying a previously published petrophysical model for bulk conductivity in dual-domain media. Pore network modeling of fluid flow, solute transport, and electrical conduction (1) verifies the geoelectrical signature of dual-domain transport, (2) reveals limitations of the previously used petrophysical model, and (3) demonstrates that a new petrophysical model, based on differential effective media theory, closely approximates the simulated bulk/fluid conductivity relation. These findings underscore the potential of geophysically based calibration of dual-domain models.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL073326","usgsCitation":"Day-Lewis, F., Linde, N., Haggerty, R., Singha, K., and Briggs, M., 2017, Pore network modeling of the electrical signature of solute transport in dual-domain media: Geophysical Research Letters, v. 44, no. 10, p. 4908-4916, https://doi.org/10.1002/2017GL073326.","productDescription":"9 p.","startPage":"4908","endPage":"4916","ipdsId":"IP-086342","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":469902,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1377933","text":"Publisher Index Page"},{"id":422094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2017-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":886855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linde, Niklas","contributorId":248575,"corporation":false,"usgs":false,"family":"Linde","given":"Niklas","email":"","affiliations":[],"preferred":false,"id":886856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haggerty, Roy","contributorId":191368,"corporation":false,"usgs":false,"family":"Haggerty","given":"Roy","email":"","affiliations":[],"preferred":false,"id":886857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":886858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":886859,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186982,"text":"ofr20171042 - 2017 - Monitoring breeding and migration of neotropical migratory birds at Point Loma, San Diego County, California, 5-year summary, 2011–15","interactions":[],"lastModifiedDate":"2017-04-28T09:16:11","indexId":"ofr20171042","displayToPublicDate":"2017-04-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1042","title":"Monitoring breeding and migration of neotropical migratory birds at Point Loma, San Diego County, California, 5-year summary, 2011–15","docAbstract":"<h1>Executive Summary</h1><p>We operated a bird banding station on the Point Loma peninsula in western San Diego County, California, during spring and summer from 2011 to 2015. The station was established in 2010 as part of a long-term monitoring program for neotropical migratory birds during spring migration and for breeding birds as part of the Monitoring Avian Productivity and Survivorship (MAPS) program.</p><p>During spring migration (April and May), 2011–15, we captured 1,760 individual birds of 54 species, 91 percent (1,595) of which were newly banded, fewer than 1 percent (3) of which were recaptures that were banded in previous years, and 9 percent (143 hummingbirds, 2 hawks, and 17 other birds) of which we released unbanded. We observed an additional 22 species that were not captured. Thirty-four individuals were captured more than once. Bird capture rate averaged 0.49 ± 0.07 captures per net-hour (range 0.41–0.56). Species richness per day averaged 6.87 ± 0.33. <i>Cardellina pusilla</i> (Wilson’s warbler) was the most abundant spring migrant captured, followed by <i>Empidonax difficilis</i> (Pacific-slope flycatcher), <i>Vireo gilvus</i> (warbling vireo), <i>Zonotrichia leucophrys</i> (white-crowned sparrow), and <i>Selasphorus rufus</i> (rufous hummingbird). Captures of white-crowned sparrow decreased, and captures of Pacific-slope flycatcher increased, over the 5 years of our study. Fifty-six percent of known-sex individuals were male and 44 percent were female. The peak number of new species arriving per day ranged from April 1 (2013-six species) to April 16 (2012-five species). A significant correlation was determined between the number of migrants captured each day per net-hour and the density of echoes on the Next-Generation Radar (NEXRAD) images across all 5 years, and in each year except 2014. NEXRAD radar imagery appears to be a useful tool for detecting pulses in migration.</p><p>Our results indicate that Point Loma provides stopover habitat during migration for 76 migratory species, including 20 species of conservation concern. Two of these species, <i>Vireo bellii pusillus</i> (least Bell’s vireo) and <i>Empidonax traillii</i> (willow flycatcher) are listed as State and (or) federally threatened or endangered.</p><p>Except for <i>Archilochus alexandri</i> (black-chinned hummingbird) and <i>Setophaga occidentalis</i> (hermit warbler), which arrived later during the migratory season in latter years of our study, median arrival dates for migratory species tended to be earlier each year or did not change across 5 years. Of the five most common migratory species, white-crowned sparrow and rufous hummingbird arrived earlier in latter years of the study, but Pacific-slope flycatcher, warbling vireo, and Wilson’s warbler median arrival dates were variable and showed no trend.</p><p>We captured 1,680 individuals of 66 species during the MAPS/breeding season (May through August) across the 5 years of our study, 72 percent (1,211) of which were newly banded, 10 percent (167) of which were recaptures, and 18 percent (302 hummingbirds and other birds that escaped prior to banding) of which we released unbanded. Bird capture rate averaged 0.65 ± 0.21 captures per net-hour (range 0.12–2.54). Species richness per day ranged from 9.80 ± 5.01 to 14.20 ± 4.57. <i>Calypte anna</i> (Anna’s hummingbird) was the most abundant breeding species captured, followed by <i>Oreothlypis celata</i> (orange-crowned warbler), <i>Psaltriparus minimus</i> (bushtit), <i>Pipilo maculatus</i> (spotted towhee), <i>Thryomanes bewickii</i> (Bewick’s wren), <i>Melozone crissalis</i> (California towhee), and <i>Chamaea fasciata</i> (wrentit). Fifty-one percent of known-sex captures were female, and 49 percent were male. Thirty-one percent of known-age captures were juveniles.</p><p>Populations of bushtits and orange-crowned warbler decreased significantly over 5 years. Anna’s hummingbird abundance was high for 4 years, and then decreased in 2015. Bewick’s wren and wrentit populations were highest in 2015. There was no obvious pattern in spotted towhee and California towhee abundance across 5 years. Annual breeding productivity for most species was low in 2014 and high in 2015. Bewick’s wren had the highest breeding productivity of the six most commonly captured species, followed by bushtit. Orange-crowned warbler had the lowest breeding productivity. Breeding productivity was a significant predictor of population size the next year for bushtit, but not for any other resident breeding species examined.</p><p>Adult survivorship was generally high from 2013 to 14, and low from 2014 to 15. Wrentits had the highest survivorship of the most common species captured, followed by California towhee and orange-crowned warbler. Adult survivorship was lowest for bushtits and spotted towhees. Adult survivorship was a significant predictor of population size for bushtits, but not for any other resident species examined.</p><p>Our monitoring results indicate that Point Loma provides breeding habitat for seven species of conservation concern. One of these species, the federally threatened <i>Polioptila californica californica</i> (California gnatcatcher), was documented breeding at the study site.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171042","collaboration":"Prepared in cooperation with Commander, Navy Region Southwest","usgsCitation":"Lynn, Suellen, Madden, M.C., and Kus, B.E., 2017, Monitoring breeding and migration of neotropical migratory birds at Point Loma, San Diego County, California, 5-year summary, 2011–15: U.S. Geological Survey Open-File Report 2017-1042, 119 p., https://doi.org/10.3133/ofr20171042.","productDescription":"iv, 119 p.","numberOfPages":"128","onlineOnly":"Y","ipdsId":"IP-079355","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":340506,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1042/coverthb.jpg"},{"id":340507,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1042/ofr20171042.pdf","text":"Report","size":"5.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1042"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Point Loma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.24781036376953,\n              32.66445129351451\n            ],\n            [\n              -117.23575115203859,\n              32.66445129351451\n            ],\n            [\n              -117.23575115203859,\n              32.67825116303079\n            ],\n            [\n              -117.24781036376953,\n              32.67825116303079\n            ],\n            [\n              -117.24781036376953,\n              32.66445129351451\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Western Ecological Research Center<br> U.S. Geological Survey<br> 3020 State University Drive East<br> Sacramento, California 95819<br> <a href=\"https://www.werc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://www.werc.usgs.gov/\">https://www.werc.usgs.gov/</a></p>","tableOfContents":"<ul><li>Executive Summary<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>Discussion<br></li><li>Management Implications<br></li><li>References Cited<br></li><li>Appendixes A–C<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-04-27","noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","scienceBaseUri":"59030324e4b0e862d230f71b","contributors":{"authors":[{"text":"Lynn, Suellen 0000-0003-1543-0209 suellen_lynn@usgs.gov","orcid":"https://orcid.org/0000-0003-1543-0209","contributorId":3843,"corporation":false,"usgs":true,"family":"Lynn","given":"Suellen","email":"suellen_lynn@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":691668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madden, Melanie C. 0000-0003-4147-7254 mmadden@usgs.gov","orcid":"https://orcid.org/0000-0003-4147-7254","contributorId":139459,"corporation":false,"usgs":true,"family":"Madden","given":"Melanie","email":"mmadden@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":691669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":691667,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186904,"text":"ofr20171037 - 2017 - Time-causal decomposition of geomagnetic time series into secular variation, solar quiet,  and disturbance signals","interactions":[],"lastModifiedDate":"2017-04-27T09:30:27","indexId":"ofr20171037","displayToPublicDate":"2017-04-26T12:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1037","title":"Time-causal decomposition of geomagnetic time series into secular variation, solar quiet,  and disturbance signals","docAbstract":"<p>A theoretical basis and prototype numerical algorithm are provided that decompose regular time series of geomagnetic observations into three components: secular variation; solar quiet, and disturbance. Respectively, these three components correspond roughly to slow changes in the Earth’s internal magnetic field, periodic daily variations caused by quasi-stationary (with respect to the sun) electrical current systems in the Earth’s magnetosphere, and episodic perturbations to the geomagnetic baseline that are typically driven by fluctuations in a solar wind that interacts electromagnetically with the Earth’s magnetosphere. In contrast to similar algorithms applied to geomagnetic data in the past, this one addresses the issue of real time data acquisition directly by applying a time-causal, exponential smoother with “seasonal corrections” to the data as soon as they become available.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171037","usgsCitation":"Rigler, E.J., 2017, Time-causal decomposition of geomagnetic time series into secular variation, solar quiet,  and disturbance signals: U.S. Geological Survey Open-File Report 2017–1037, 26 p., https://doi.org/10.3133/ofr20171037.","productDescription":"iv, 26 p.","numberOfPages":"31","onlineOnly":"Y","ipdsId":"IP-080216","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":340156,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1037/coverthb.jpg"},{"id":340157,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1037/ofr20171037.pdf","text":"Report","size":"3.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1037"}],"contact":"<p>Director, Geologic Hazards Science Center<br>U.S. Geological Survey<br>Box 25046, MS–966<br>Denver, CO 80225-0046</p><p><a href=\"https://www.usgs.gov/centers/geohazards/\" data-mce-href=\"https://www.usgs.gov/centers/geohazards/\">https://www.usgs.gov/centers/geohazards/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abbreviations</li><li>Abstract</li><li>Introduction</li><li>Mathematical Theory</li><li>Numerical Algorithm and Practical Considerations</li><li>Verification and Validation</li><li>Summary and Conclusions</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Pseudocode</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-04-26","noUsgsAuthors":false,"publicationDate":"2017-04-26","publicationStatus":"PW","scienceBaseUri":"5901b1b6e4b0c2e071a99b86","contributors":{"authors":[{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":690950,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187203,"text":"70187203 - 2017 - A paired-laser photogrammetric method for in situ length measurement of benthic fishes","interactions":[],"lastModifiedDate":"2017-04-26T13:07:44","indexId":"70187203","displayToPublicDate":"2017-04-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A paired-laser photogrammetric method for in situ length measurement of benthic fishes","docAbstract":"<p><span>Photogrammetry, a technique to obtain measurements from photographs, may be a valid method for measuring lengths of rare, threatened, or endangered species. Photogrammetric methods of measurement are nonintrusive and reduce the possibility of physical damage or physiological stress associated with the capture and handling of individuals. We evaluated precision and accuracy of photogrammetric length measurements relative to board measurements of Greenside Darters </span><i>Etheostoma blennioides</i><span> and Variegate Darters </span><i>E. variatum</i><span> in an aquarium and applied photogrammetry in a field study of the Diamond Darter </span><i>Crystallaria cincotta</i><span>, a federally listed endangered species. Digital photographs were taken of each individual using a waterproof camera equipped with two parallel lasers. Photogrammetric length measurements were digitized with ImageJ software. Agreement between board and photogrammetric measurements were high for Greenside and Variegate darters. The magnitude of differences was small between direct and photogrammetric measurements, ranging from 0.6% to 3.1%, depending on the species measured and the type of measurement taken. These results support photogrammetry as a useful method for obtaining length measurements of benthic stream fishes. Photogrammetric methods allowed for length measurements and an assessment of length frequency of 199 Diamond Darters, informative data for management that could not be collected with conventional measuring-board methods.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1235632","usgsCitation":"Rizzo, A.A., Welsh, S.A., and Thompson, P., 2017, A paired-laser photogrammetric method for in situ length measurement of benthic fishes: North American Journal of Fisheries Management, v. 37, no. 1, p. 16-22, https://doi.org/10.1080/02755947.2016.1235632.","productDescription":"7 p.","startPage":"16","endPage":"22","ipdsId":"IP-079166","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"5901b1b7e4b0c2e071a99b8a","contributors":{"authors":[{"text":"Rizzo, Austin A.","contributorId":191439,"corporation":false,"usgs":false,"family":"Rizzo","given":"Austin","email":"","middleInitial":"A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":693048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":1483,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"swelsh@usgs.gov","middleInitial":"A.","affiliations":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"preferred":false,"id":693013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Patricia A. pathompson@usgs.gov","contributorId":5249,"corporation":false,"usgs":true,"family":"Thompson","given":"Patricia A.","email":"pathompson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":693049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}