{"pageNumber":"347","pageRowStart":"8650","pageSize":"25","recordCount":46618,"records":[{"id":70250484,"text":"70250484 - 2018 - Data quality from a community-based, water-quality monitoring project in the Yukon River basin","interactions":[],"lastModifiedDate":"2023-12-13T12:51:43.374094","indexId":"70250484","displayToPublicDate":"2018-01-01T06:43:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17109,"text":"Citizen Science: Theory and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Data quality from a community-based, water-quality monitoring project in the Yukon River basin","docAbstract":"<p><span>This paper examines the quality of data collected by the Indigenous Observation Network, a community-based water-quality project in the Yukon River Basin of Alaska and Canada. The Indigenous Observation Network relies on community technicians to collect surface-water samples from as many as fifty locations to achieve their goals of monitoring the quality of the Yukon River and major tributaries in the basin and maintaining a long-term record of baseline data against which future changes can be measured. This paper addresses concerns about the accuracy, precision, and reliability of data collected by non-professionals. The Indigenous Observation Network data are examined in the context of a standard data life cycle: plan, collect, assure, and describe; as compared to professional scientific activities. Field and laboratory protocols and procedures of the Indigenous Observation Network are compared to those utilized by professional scientists. The data of the Indigenous Observation Network are statistically compared to those collected by professional scientists through a retrospective analysis of a set of water-quality parameters reported by all three projects over a number of years. No statistical differences were found among the three projects for pH, Calcium, Magnesium, or Alkalinity, although statistically significant differences were found for Sodium, Chloride, Sulfate, and Potassium concentrations. The statistical differences found were small and likely not significant in terms of interpreting the data for a variety of uses. Our results suggest that Indigenous Observation Network data are of high quality, and with consistent protocols and participant training, community based monitoring projects can collect data that are accurate, precise, and reliable.</span></p>","language":"English","publisher":"Citizen Science Association","doi":"10.5334/cstp.123","usgsCitation":"Herman-Mercer, N.M., Antweiler, R.C., Wilson, N.J., Mutter, E., Toohey, R.C., and Schuster, P.F., 2018, Data quality from a community-based, water-quality monitoring project in the Yukon River basin: Citizen Science: Theory and Practice, v. 3, no. 2, p. 1-13, https://doi.org/10.5334/cstp.123.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-088123","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":469114,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":890102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":890103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Nicole J.","contributorId":332359,"corporation":false,"usgs":false,"family":"Wilson","given":"Nicole","email":"","middleInitial":"J.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":890104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mutter, Edda A.","contributorId":238034,"corporation":false,"usgs":false,"family":"Mutter","given":"Edda A.","affiliations":[{"id":47690,"text":"˚Yukon River Inter-Tribal Watershed Council, Anchorage, Alaska","active":true,"usgs":false}],"preferred":false,"id":890105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toohey, Ryan C. 0000-0001-8248-5045 rtoohey@usgs.gov","orcid":"https://orcid.org/0000-0001-8248-5045","contributorId":5674,"corporation":false,"usgs":true,"family":"Toohey","given":"Ryan","email":"rtoohey@usgs.gov","middleInitial":"C.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":890106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":890107,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194660,"text":"70194660 - 2018 - Strain partitioning in southeastern Alaska: Is the Chatham Strait Fault active?","interactions":[],"lastModifiedDate":"2018-03-29T16:02:02","indexId":"70194660","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Strain partitioning in southeastern Alaska: Is the Chatham Strait Fault active?","docAbstract":"<p><span>A 1200 km-long transform plate boundary passes through southeastern Alaska and northwestern British Columbia and represents one of the most seismically active, but poorly understood continental margins of North America. Although most of the plate motion is&nbsp;accommodated by the right-lateral Queen Charlotte–Fairweather Fault (QCFF) System, which has produced at least six M</span><span>&nbsp;</span><span>&gt;</span><span>&nbsp;</span><span><span><span>7 earthquakes since 1920,&nbsp;seismic hazard ass<span><span>essments also include the Chatham&nbsp;Strait Fault (CSF) as a potentially active, 400 km-long strike slip fault </span>that cuts northward through southeastern Alaska, connecting with the Eastern Denali Fault. Nearly the entire length of the CSF is submerged beneath Chatham Strait and Lynn Canal and has never been systematically imaged using high-resolution marine geophysical approaches. In this study we present an integrated analysis of new marine&nbsp;seismic reflectiondata ac</span></span><span>quired across Lynn Canal and tectonic block modeling constrained by data from continuous and campaign GPS sites. Seismic profiles cross the CSF at twelve locations spanning ∼50 km of fault length; they reveal thick (up to 300 m) packages of glaciomarine sedimentary facies emplaced on an unconformity su</span></span><span><span>rface that formed during the<span> Last Glacial Maximum</span></span><span><span><span>&nbsp;</span>(LGM). Localized warping of post-LGM stratigraphy (∼13.9 kyr B.P. to present) appears to correlate with sediment drape on basement topography and current-controlled deposition. There is no evidence for an&nbsp;active fault along the axis of Lynn Canal in the seismic reflection data. Crustal block models constrained by GPS data allow, but do not require, a maximum&nbsp;slip rate o</span>f 2–3 mm/yr along the CSF; higher slip rates on the CSF result in significant misfit to GPS data in the surrounding region. Based on the combined marine geophysical and GPS observations, it is plausible that the CSF has not generated resolvable coseismic deformation in the last ∼13 ka and that the modern slip-rate is &lt;1 mm/yr. We propose that models for strain transfer between the QCFF and the Denali Fault, and seismic hazard maps in general, may need to be reevaluated.</span></span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2017.10.017","usgsCitation":"Brothers, D.S., Elliott, J.L., Conrad, J.E., Haeussler, P.J., and Kluesner, J.W., 2018, Strain partitioning in southeastern Alaska: Is the Chatham Strait Fault active?: Earth and Planetary Science Letters, v. 481, p. 362-371, https://doi.org/10.1016/j.epsl.2017.10.017.","productDescription":"10 p.","startPage":"362","endPage":"371","ipdsId":"IP-081661","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469122,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2017.10.017","text":"Publisher Index Page"},{"id":352971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"481","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee755e4b0da30c1bfc267","contributors":{"authors":[{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Julie L.","contributorId":201260,"corporation":false,"usgs":false,"family":"Elliott","given":"Julie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":724813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kluesner, Jared W. 0000-0003-1701-8832 jkluesner@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":201261,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared","email":"jkluesner@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195089,"text":"70195089 - 2018 - Using colony monitoring devices to evaluate the impacts of land use and nutritional value of forage on honey bee health","interactions":[],"lastModifiedDate":"2018-02-08T12:55:34","indexId":"70195089","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5622,"text":"Agriculture","active":true,"publicationSubtype":{"id":10}},"title":"Using colony monitoring devices to evaluate the impacts of land use and nutritional value of forage on honey bee health","docAbstract":"<p><span>Colony monitoring devices used to track and assess the health status of honey bees are becoming more widely available and used by both beekeepers and researchers. These devices monitor parameters relevant to colony health at frequent intervals, often approximating real time. The fine-scale record of hive condition can be further related to static or dynamic features of the landscape, such as weather, climate, colony density, land use, pesticide use, vegetation class, and forage quality. In this study, we fit commercial honey bee colonies in two apiaries with pollen traps and digital scales to monitor floral resource use, pollen quality, and honey production. One apiary was situated in low-intensity agriculture; the other in high-intensity agriculture. Pollen traps were open for 72 h every two weeks while scales recorded weight every 15 min throughout the growing season. From collected pollen, we determined forage quantity per day, species identity using DNA sequencing, pesticide residues, amino acid content, and total protein content. From scales, we determined the accumulated hive weight change over the growing season, relating to honey production and final colony weight going into winter. Hive scales may also be used to identify the occurrence of environmental pollen and nectar dearth, and track phenological changes in plant communities. We provide comparisons of device-derived data between two apiaries over the growing season and discuss the potential for employing apiary monitoring devices to infer colony health in the context of divergent agricultural land use conditions.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/agriculture8010002","usgsCitation":"Smart, M., Otto, C., Cornman, R.S., and Iwanowicz, D.D., 2018, Using colony monitoring devices to evaluate the impacts of land use and nutritional value of forage on honey bee health: Agriculture, v. 81, no. 1, p. 1-14, https://doi.org/10.3390/agriculture8010002.","productDescription":"Article 2; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-091990","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469116,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/agriculture8010002","text":"Publisher Index Page"},{"id":438062,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72V2F4S","text":"USGS data release","linkHelpText":"Using colony monitoring devices to evaluate the impacts of land use and forage quality on honey bee health datasets"},{"id":351351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-25","publicationStatus":"PW","scienceBaseUri":"5a7d6ffee4b00f54eb2441b4","contributors":{"authors":[{"text":"Smart, Matthew 0000-0003-0711-3035 msmart@usgs.gov","orcid":"https://orcid.org/0000-0003-0711-3035","contributorId":174424,"corporation":false,"usgs":true,"family":"Smart","given":"Matthew","email":"msmart@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":726882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":726883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":726885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":726884,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195094,"text":"70195094 - 2018 - Acute and chronic toxicity of aluminum to a unionid mussel (Lampsilis siliquoidea) and an amphipod (Hyalella azteca) in water‐only exposures","interactions":[],"lastModifiedDate":"2018-03-29T16:53:52","indexId":"70195094","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Acute and chronic toxicity of aluminum to a unionid mussel (<i>Lampsilis siliquoidea</i>) and an amphipod (<i>Hyalella azteca</i>) in water‐only exposures","title":"Acute and chronic toxicity of aluminum to a unionid mussel (Lampsilis siliquoidea) and an amphipod (Hyalella azteca) in water‐only exposures","docAbstract":"<p><span>The US Environmental Protection Agency (USEPA) is reviewing the protectiveness of the national ambient water quality criteria (WQC) for aluminum (Al) and compiling a toxicity data set to update the WQC. Freshwater mussels are one of the most imperiled groups of animals in the world, but little is known about their sensitivity to Al. The objective of the present study was to evaluate acute 96‐h and chronic 28‐d toxicity of Al to a unionid mussel (</span><i>Lampsilis siliquoidea</i><span>) and a commonly tested amphipod (</span><i>Hyalella azteca</i><span>) at a pH of 6 and water hardness of 100 mg/L as CaCO</span><sub>3</sub><span>. The acute 50% effect concentration (EC50) for survival of both species was &gt;6200 μg total Al/L. The EC50 was greater than all acute values in the USEPA acute Al data set for freshwater species at a pH range of 5.0 to &lt;6.5 and hardness normalized to 100 mg/L, indicating that the mussel and amphipod were insensitive to Al in acute exposures. The chronic 20% effect concentration (EC20) based on dry weight was 163 μg total Al/L for the mussel and 409 μg total Al/L for the amphipod. Addition of the EC20s to the USEPA chronic Al data set for pH 5.0 to &lt;6.5 would rank the mussel (</span><i>L. siliquoidea</i><span>) as the fourth most sensitive species and the amphipod (</span><i>H. azteca</i><span>) as the fifth most sensitive species, indicating the 2 species were sensitive to Al in chronic exposures. The USEPA‐proposed acute and chronic WQC for Al would adequately protect the mussel and amphipod tested; however, inclusion of the chronic data from the present study and recalculation of the chronic criterion would likely lower the proposed chronic criterion.<span>&nbsp;</span></span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3850","usgsCitation":"Wang, N., Ivey, C.D., Brunson, E., Cleveland, D.M., Ingersoll, C.G., Stubblefield, W., and Cardwell, A.S., 2018, Acute and chronic toxicity of aluminum to a unionid mussel (Lampsilis siliquoidea) and an amphipod (Hyalella azteca) in water‐only exposures: Environmental Toxicology and Chemistry, v. 37, no. 1, p. 61-69, https://doi.org/10.1002/etc.3850.","productDescription":"9 p.","startPage":"61","endPage":"69","ipdsId":"IP-082948","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":352978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-05","publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc265","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":726904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":726905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brunson, Eric L. 0000-0001-6624-0902 elbrunson@usgs.gov","orcid":"https://orcid.org/0000-0001-6624-0902","contributorId":3282,"corporation":false,"usgs":true,"family":"Brunson","given":"Eric L.","email":"elbrunson@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":726906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":726907,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":726910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stubblefield, William A.","contributorId":201762,"corporation":false,"usgs":false,"family":"Stubblefield","given":"William A.","affiliations":[{"id":25665,"text":"Oregon State University, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":726908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cardwell, Allison S.","contributorId":201763,"corporation":false,"usgs":false,"family":"Cardwell","given":"Allison","email":"","middleInitial":"S.","affiliations":[{"id":25665,"text":"Oregon State University, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":726909,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70195385,"text":"70195385 - 2018 - Range position and climate sensitivity: The structure of among-population demographic responses to climatic variation","interactions":[],"lastModifiedDate":"2018-02-13T12:28:43","indexId":"70195385","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","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":"Range position and climate sensitivity: The structure of among-population demographic responses to climatic variation","docAbstract":"<p><span>Species’ distributions will respond to climate change based on the relationship between local demographic processes and climate and how this relationship varies based on range position. A rarely tested demographic prediction is that populations at the extremes of a species’ climate envelope (e.g., populations in areas with the highest mean annual temperature) will be most sensitive to local shifts in climate (i.e., warming). We tested this prediction using a dynamic species distribution model linking demographic rates to variation in temperature and precipitation for wood frogs (</span><i>Lithobates sylvaticus</i><span>) in North America. Using long-term monitoring data from 746 populations in 27 study areas, we determined how climatic variation affected population growth rates and how these relationships varied with respect to long-term climate. Some models supported the predicted pattern, with negative effects of extreme summer temperatures in hotter areas and positive effects on recruitment for summer water availability in drier areas. We also found evidence of interacting temperature and precipitation influencing population size, such as extreme heat having less of a negative effect in wetter areas. Other results were contrary to predictions, such as positive effects of summer water availability in wetter parts of the range and positive responses to winter warming especially in milder areas. In general, we found wood frogs were more sensitive to changes in temperature or temperature interacting with precipitation than to changes in precipitation alone. Our results suggest that sensitivity to changes in climate cannot be predicted simply by knowing locations within the species’ climate envelope. Many climate processes did not affect population growth rates in the predicted direction based on range position. Processes such as species-interactions, local adaptation, and interactions with the physical landscape likely affect the responses we observed. Our work highlights the need to measure demographic responses to changing climate.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13817","usgsCitation":"Amburgey, S.M., Miller, D.A., Grant, E.H., Rittenhouse, T., Benard, M.F., Richardson, J.L., Urban, M.C., Hughson, W., Brand, A.B., Davis, C.J., Hardin, C.R., Paton, P.W., Raithel, C.J., Relyea, R.A., Scott, A.F., Skelly, D.K., Skidds, D., Smith, C.K., and Werner, E.E., 2018, Range position and climate sensitivity: The structure of among-population demographic responses to climatic variation: Global Change Biology, v. 24, no. 1, p. 439-454, https://doi.org/10.1111/gcb.13817.","productDescription":"16 p.","startPage":"439","endPage":"454","ipdsId":"IP-069212","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":490050,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/nrs_facpubs/683","text":"External Repository"},{"id":351524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-19","publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc261","contributors":{"authors":[{"text":"Amburgey, Staci M.","contributorId":152622,"corporation":false,"usgs":false,"family":"Amburgey","given":"Staci","email":"","middleInitial":"M.","affiliations":[{"id":12754,"text":"Penn State University Altoona","active":true,"usgs":false}],"preferred":false,"id":728311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David A. W.","contributorId":126732,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A. W.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":728312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Evan H. Campbell 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":201360,"corporation":false,"usgs":true,"family":"Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H. Campbell","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":728310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rittenhouse, Tracy A. G.","contributorId":169672,"corporation":false,"usgs":false,"family":"Rittenhouse","given":"Tracy A. G.","affiliations":[],"preferred":false,"id":728313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benard, Michael F.","contributorId":202395,"corporation":false,"usgs":false,"family":"Benard","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":36409,"text":"Department of Biology, Case Western Reserve University, Cleveland, OH, USA","active":true,"usgs":false}],"preferred":false,"id":728314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richardson, Jonathan L.","contributorId":200560,"corporation":false,"usgs":false,"family":"Richardson","given":"Jonathan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":728315,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Urban, Mark C.","contributorId":202396,"corporation":false,"usgs":false,"family":"Urban","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":36410,"text":"Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA","active":true,"usgs":false}],"preferred":false,"id":728316,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hughson, Ward","contributorId":202397,"corporation":false,"usgs":false,"family":"Hughson","given":"Ward","email":"","affiliations":[{"id":36411,"text":"Parks Canada, Jasper, AB, Canada","active":true,"usgs":false}],"preferred":false,"id":728317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":728318,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Davis, Christopher J.","contributorId":202398,"corporation":false,"usgs":false,"family":"Davis","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":36412,"text":"Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA","active":true,"usgs":false}],"preferred":false,"id":728319,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hardin, Carmen R.","contributorId":202399,"corporation":false,"usgs":false,"family":"Hardin","given":"Carmen","email":"","middleInitial":"R.","affiliations":[{"id":36413,"text":"Forestry Division, Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":728320,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Paton, Peter W. C.","contributorId":146616,"corporation":false,"usgs":false,"family":"Paton","given":"Peter","email":"","middleInitial":"W. C.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":728321,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Raithel, Christopher J.","contributorId":202400,"corporation":false,"usgs":false,"family":"Raithel","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":36414,"text":"Division of Fish and Wildlife, Rhode Island Department of Environmental Management, West Kingston, RI, USA","active":true,"usgs":false}],"preferred":false,"id":728322,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Relyea, Rick A.","contributorId":202401,"corporation":false,"usgs":false,"family":"Relyea","given":"Rick","email":"","middleInitial":"A.","affiliations":[{"id":36415,"text":"Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY, USA","active":true,"usgs":false}],"preferred":false,"id":728323,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Scott, A. Floyd","contributorId":202402,"corporation":false,"usgs":false,"family":"Scott","given":"A.","email":"","middleInitial":"Floyd","affiliations":[{"id":36416,"text":"Department of Biology, Austin Peay State University, Clarksville, TN, USA","active":true,"usgs":false}],"preferred":false,"id":728324,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Skelly, David K.","contributorId":181900,"corporation":false,"usgs":false,"family":"Skelly","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":728325,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Skidds, Dennis E.","contributorId":202403,"corporation":false,"usgs":false,"family":"Skidds","given":"Dennis E.","affiliations":[{"id":36417,"text":"Northeast Coastal and Barrier Network, National Parks Service, Kingston, RI, USA","active":true,"usgs":false}],"preferred":false,"id":728326,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Smith, Charles K.","contributorId":202404,"corporation":false,"usgs":false,"family":"Smith","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":36418,"text":"Department of Biology, High Point University, High Point, NC, USA","active":true,"usgs":false}],"preferred":false,"id":728327,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Werner, Earl E.","contributorId":202405,"corporation":false,"usgs":false,"family":"Werner","given":"Earl","email":"","middleInitial":"E.","affiliations":[{"id":36419,"text":"Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA","active":true,"usgs":false}],"preferred":false,"id":728328,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70195125,"text":"70195125 - 2018 - Rapid colonization of a Hawaiian restoration forest by a diverse avian community","interactions":[],"lastModifiedDate":"2018-02-07T10:53:49","indexId":"70195125","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Rapid colonization of a Hawaiian restoration forest by a diverse avian community","docAbstract":"<p><span>Deforestation of tropical forests has led to widespread loss and extirpation of forest bird species around the world, including the Hawaiian Islands which have experienced a dramatic loss of forests over the last 200–800 years. Given the important role birds play in forest ecosystem functions via seed dispersal and pollination, a bird community's response to forest restoration is an important measure of the success of such conservation actions. We evaluated the bird response to reforestation at an important bird sanctuary, Hakalau Forest National Wildlife Refuge, Hawai′i Island, using 26 years of bird count data. We show that most species from within the diverse avian community increased significantly, but species colonized the restoration forest at different rates. Distance from intact forest and time since restoration were both important predictors of colonization rate, interacting such that for most species it took more time to colonize areas farther from the intact forest. In addition, both forest cover and understory diversity helped to explain bird densities, but the effect varied among species, suggesting that different habitat requirements may help drive variation in colonization rates. This article provides the first detailed evaluation of how a diverse community of birds has responded to one of the largest, ongoing reforestation projects in Hawai′i.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12540","usgsCitation":"Paxton, E., Yelenik, S.G., Borneman, T.E., Rose, E., Camp, R., and Kendall, S.J., 2018, Rapid colonization of a Hawaiian restoration forest by a diverse avian community: Restoration Ecology, v. 26, no. 1, p. 165-173, https://doi.org/10.1111/rec.12540.","productDescription":"9 p.","startPage":"165","endPage":"173","ipdsId":"IP-079984","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":351227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai′i","otherGeospatial":"Hakalau Forest National Wildlife Refuge","volume":"26","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-10","publicationStatus":"PW","scienceBaseUri":"5a7c1e76e4b00f54eb2292fa","contributors":{"authors":[{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":727061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769 syelenik@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":5251,"corporation":false,"usgs":true,"family":"Yelenik","given":"Stephanie","email":"syelenik@usgs.gov","middleInitial":"G.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":727062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borneman, Tracy E.","contributorId":145698,"corporation":false,"usgs":false,"family":"Borneman","given":"Tracy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":727063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Eli 0000-0003-0958-9491 etrose@usgs.gov","orcid":"https://orcid.org/0000-0003-0958-9491","contributorId":194190,"corporation":false,"usgs":true,"family":"Rose","given":"Eli","email":"etrose@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":727064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camp, Richard J.","contributorId":194671,"corporation":false,"usgs":false,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":727065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, Steve J. 0000-0002-9290-5629","orcid":"https://orcid.org/0000-0002-9290-5629","contributorId":169663,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":727066,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195136,"text":"70195136 - 2018 - Regional acidification trends in Florida shellfish estuaries: A 20+ year look at pH, oxygen, temperature, and salinity","interactions":[],"lastModifiedDate":"2018-06-04T16:17:14","indexId":"70195136","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Regional acidification trends in Florida shellfish estuaries: A 20+ year look at pH, oxygen, temperature, and salinity","docAbstract":"<p><span>Increasing global CO</span><sub>2</sub><span><span>&nbsp;</span>and local land use changes coupled with increased nutrient pollution are threatening estuaries worldwide. Local changes of estuarine chemistry have been documented, but regional associations and trends comparing multiple estuaries latitudinally have not been evaluated. Rapid climate change has impacted the annual and decadal chemical trends in estuaries, with local ecosystem processes enhancing or mitigating the responses. Here, we compare pH, dissolved oxygen, temperature, and salinity data from 10 Florida shellfish estuaries and hundreds of shellfish bed stations. Over 80,000 measurements, spanning from 1980 to 2008, taken on Atlantic Ocean and West Florida coast showed significant regional trends of consistent pH decreases in 8 out of the 10 estuaries, with an average rate of decrease on the Gulf of Mexico side estuaries of Florida of 7.3 × 10</span><sup>−4</sup><span>&nbsp;pH units&nbsp;year</span><sup>−1</sup><span>, and average decrease on the Atlantic Coast estuaries of 5.0 × 10</span><sup>−4</sup><span>&nbsp;pH units&nbsp;year</span><sup>−1</sup><span>. The rates are approximately 2–3.4 times slower than observed in pH decreases associated with ocean acidification in the Atlantic and Pacific.&nbsp;Other significant trends observed include decreasing dissolved oxygen in 9 out of the 10 estuaries, increasing salinity in 6 out of the 10, and temperature increases in 3 out of the 10 estuaries. The data provide a synoptic regional view of Florida estuary trends which reflect the complexity of changing climate and coastal ocean acidification superimposed on local conditions. These data provide context for understanding, and interpreting the past and predicting future of regional water quality health of shellfish and other organisms of commercial and ecological significance along Florida’s coasts.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-017-0353-8","usgsCitation":"Robbins, L.L., and Lisle, J.T., 2018, Regional acidification trends in Florida shellfish estuaries: A 20+ year look at pH, oxygen, temperature, and salinity: Estuaries and Coasts, v. 41, no. 5, p. 1268-1281, https://doi.org/10.1007/s12237-017-0353-8.","productDescription":"14 p.","startPage":"1268","endPage":"1281","ipdsId":"IP-087185","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469118,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-017-0353-8","text":"Publisher Index Page"},{"id":351314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-20","publicationStatus":"PW","scienceBaseUri":"5a7c1e76e4b00f54eb2292f5","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727107,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196522,"text":"70196522 - 2018 - Diel predator activity drives a dynamic landscape of fear","interactions":[],"lastModifiedDate":"2018-11-14T10:00:50","indexId":"70196522","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Diel predator activity drives a dynamic landscape of fear","docAbstract":"<p><span>A “landscape of fear” (LOF) is a map that describes continuous spatial variation in an animal's perception of predation risk. The relief on this map reflects, for example, places that an animal avoids to minimize risk. Although the LOF concept is a potentially unifying theme in ecology that is often invoked to explain the ecological and conservation significance of fear, little is known about the daily dynamics of an LOF. Despite theory and data to the contrary, investigators often assume, implicitly or explicitly, that an LOF is a static consequence of a predator's mere presence within an ecosystem. We tested the prediction that an LOF in a large‐scale, free‐living system is a highly dynamic map with “peaks” and “valleys” that alternate across the diel (24‐h) cycle in response to daily lulls in predator activity. We did so with extensive data from the case study of Yellowstone elk (</span><i>Cervus elaphus</i><span>) and wolves (</span><i>Canis lupus</i><span>) that was the original basis for the LOF concept. We quantified the elk LOF, defined here as spatial allocation of time away from risky places and times, across nearly 1,000‐km</span><sup>2</sup><span><span>&nbsp;</span>of northern Yellowstone National Park and found that it fluctuated with the crepuscular activity pattern of wolves, enabling elk to use risky places during wolf downtimes. This may help explain evidence that wolf predation risk has no effect on elk stress levels, body condition, pregnancy, or herbivory. The ability of free‐living animals to adaptively allocate habitat use across periods of high and low predator activity within the diel cycle is an underappreciated aspect of animal behavior that helps explain why strong antipredator responses may trigger weak ecological effects, and why an LOF may have less conceptual and practical importance than direct killing.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1313","usgsCitation":"Kohl, M.T., Stahler, D.R., Metz, M.C., Forester, J.D., Kauffman, M., Varley, N., White, P., Smith, D.W., and MacNulty, D.R., 2018, Diel predator activity drives a dynamic landscape of fear: Ecological Monographs, v. 88, no. 4, p. 638-652, https://doi.org/10.1002/ecm.1313.","productDescription":"15 p.","startPage":"638","endPage":"652","ipdsId":"IP-065975","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469124,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.1313","text":"Publisher Index Page"},{"id":353404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yellowstone National Park","volume":"88","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-22","publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2c0","contributors":{"authors":[{"text":"Kohl, Michel T.","contributorId":204214,"corporation":false,"usgs":false,"family":"Kohl","given":"Michel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":733394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stahler, Daniel R.","contributorId":179180,"corporation":false,"usgs":false,"family":"Stahler","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metz, Matthew C.","contributorId":172854,"corporation":false,"usgs":false,"family":"Metz","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":27103,"text":"Yellowston Wolf Project","active":true,"usgs":false}],"preferred":false,"id":733396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forester, James D.","contributorId":194334,"corporation":false,"usgs":false,"family":"Forester","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":733397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":733387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Varley, Nathan","contributorId":204215,"corporation":false,"usgs":false,"family":"Varley","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":733398,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, P.J.","contributorId":91436,"corporation":false,"usgs":true,"family":"White","given":"P.J.","affiliations":[],"preferred":false,"id":733399,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Douglas W.","contributorId":95727,"corporation":false,"usgs":true,"family":"Smith","given":"Douglas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":733400,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"MacNulty, Daniel R.","contributorId":64069,"corporation":false,"usgs":true,"family":"MacNulty","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733401,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70196292,"text":"70196292 - 2018 - Detecting geothermal anomalies and evaluating LST geothermal component by combining thermal remote sensing time series and land surface model data","interactions":[],"lastModifiedDate":"2019-02-18T11:26:17","indexId":"70196292","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Detecting geothermal anomalies and evaluating LST geothermal component by combining thermal remote sensing time series and land surface model data","docAbstract":"<p id=\"sp0105\">This paper explores for the first time the possibilities to use two land surface temperature (LST) time series of different origins (geostationary Meteosat Second Generation satellite data and Noah land surface modelling, LSM), to detect geothermal anomalies and extract the geothermal component of LST, the LST<sub>gt</sub>. We hypothesize that in geothermal areas the LSM time series will underestimate the LST as compared to the remote sensing data, since the former does not account for the geothermal component in its model.</p><p id=\"sp0110\">In order to extract LST<sub>gt</sub>, two approaches of different nature (physical based and data mining) were developed and tested in an area of about 560&nbsp;×&nbsp;560&nbsp;km<sup>2</sup><span>&nbsp;</span>centered at the Kenyan Rift. Pre-dawn data in the study area during the first 45&nbsp;days of 2012 were analyzed.</p><p id=\"sp0115\">The results show consistent spatial and temporal LST<sub>gt</sub><span>&nbsp;</span>patterns between the two approaches, and systematic differences of about 2&nbsp;K. A geothermal area map from surface studies was used to assess LST<sub>gt</sub><span>&nbsp;</span>inside and outside the geothermal boundaries. Spatial means were found to be higher inside the geothermal limits, as well as the relative frequency of occurrence of high LST<sub>gt</sub>. Results further show that areas with strong topography can result in anomalously high LST<sub>gt</sub><span>&nbsp;</span>values (false positives), which suggests the need for a slope and aspect correction in the inputs to achieve realistic results in those areas. The uncertainty analysis indicates that large uncertainties of the input parameters may limit detection of LST<sub>gt</sub><span>&nbsp;</span>anomalies. To validate the approaches, higher spatial resolution images from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data over the Olkaria geothermal field were used. An established method to estimate radiant geothermal flux was applied providing values between 9 and 24&nbsp;W/m<sup>2</sup><span>&nbsp;</span>in the geothermal area, which coincides with the LST<sub>gt</sub><span>&nbsp;</span>flux rates obtained with the proposed approaches.</p><p id=\"sp0120\">The proposed approaches are a first step in estimating LST<sub>gt</sub><span>&nbsp;</span>at large spatial coverage from remote sensing and LSM data series, and provide an innovative framework for future improvements.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2017.10.003","usgsCitation":"Romaguera, M., Vaughan, R.G., Ettema, J., Izquierdo-Verdiguier, E., Hecker, C.A., and der Meer, V., 2018, Detecting geothermal anomalies and evaluating LST geothermal component by combining thermal remote sensing time series and land surface model data: Remote Sensing of Environment, v. 204, p. 534-552, https://doi.org/10.1016/j.rse.2017.10.003.","productDescription":"19 p.","startPage":"534","endPage":"552","ipdsId":"IP-080512","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":469119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2017.10.003","text":"Publisher Index Page"},{"id":353021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"204","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee753e4b0da30c1bfc24d","contributors":{"authors":[{"text":"Romaguera, Mireia","contributorId":203729,"corporation":false,"usgs":false,"family":"Romaguera","given":"Mireia","email":"","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":732184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaughan, R. Greg 0000-0002-0850-6669 gvaughan@usgs.gov","orcid":"https://orcid.org/0000-0002-0850-6669","contributorId":175488,"corporation":false,"usgs":true,"family":"Vaughan","given":"R.","email":"gvaughan@usgs.gov","middleInitial":"Greg","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":732183,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ettema, J.","contributorId":203730,"corporation":false,"usgs":false,"family":"Ettema","given":"J.","email":"","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":732185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Izquierdo-Verdiguier, E.","contributorId":203731,"corporation":false,"usgs":false,"family":"Izquierdo-Verdiguier","given":"E.","email":"","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":732186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hecker, C. A.","contributorId":203732,"corporation":false,"usgs":false,"family":"Hecker","given":"C.","email":"","middleInitial":"A.","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":732187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"der Meer, van","contributorId":203733,"corporation":false,"usgs":false,"family":"der Meer","given":"van","email":"","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":732188,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195950,"text":"70195950 - 2018 - The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal","interactions":[],"lastModifiedDate":"2018-03-09T09:52:05","indexId":"70195950","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The size, distribution, and mobility of landslides caused by the 2015 M<sub>w</sub>7.8 Gorkha earthquake, Nepal","title":"The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal","docAbstract":"<p><span>Coseismic landslides pose immediate and prolonged hazards to mountainous communities, and provide a rare opportunity to study the effect of large earthquakes on erosion and sediment budgets. By mapping landslides using high-resolution satellite imagery, we find that the 25 April 2015 M</span><sub>w</sub><span>7.8 Gorkha earthquake and aftershock sequence produced at least 25,000 landslides throughout the steep Himalayan Mountains in central Nepal. Despite early reports claiming lower than expected landslide activity, our results show that the total number, area, and volume of landslides associated with the Gorkha event are consistent with expectations, when compared to prior landslide-triggering earthquakes around the world. The extent of landsliding mimics the extent of fault rupture along the east-west trace of the Main Himalayan Thrust and increases eastward following the progression of rupture. In this event, maximum modeled Peak Ground Acceleration (PGA) and the steepest topographic slopes of the High Himalaya are not spatially coincident, so it is not surprising that landslide density correlates neither with PGA nor steepest slopes on their own. Instead, we find that the highest landslide density is located at the confluence of steep slopes, high mean annual precipitation, and proximity to the deepest part of the fault rupture from which 0.5–2</span><span>&nbsp;</span><span>Hz seismic energy originated. We suggest that landslide density was determined by a combination of earthquake source characteristics, slope distributions, and the influence of precipitation on rock strength via weathering and changes in vegetation cover. Determining the relative contribution of each factor will require further modeling and better constrained seismic parameters, both of which are likely to be developed in the coming few years as post-event studies evolve. Landslide mobility, in terms of the ratio of runout distance to fall height, is comparable to small volume landslides in other settings, and landslide volume-runout scaling is consistent with compilations of data on larger slope failures. In general, the size ratios of landslide source area to full landslide area are smaller than global averages, and hillslope length seems to largely control runout distance, which we propose reflects a topographic control on landslide mobility in this setting. We find that landslide size dictates runout distance and that more than half of the landslide debris was deposited in direct connection with stream channels. Connectivity, which is defined as the spatial proximity of landslides to fluvial channels, is greatest for larger landslides in the high-relief part of the High Himalaya. Although these failures are less abundant than those at lower elevations, they may have a disproportionate impact on sediment dynamics and cascading hazards, such as landslide reactivation by monsoon rainfall and landslide dams that lead to outburst floods. The overall high fluvial connectivity of coseismic landsliding in the Gorkha event suggests coupling between the earthquake cycle and sediment/geochemical budgets of fluvial systems in the Himalaya.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2017.01.030","usgsCitation":"Roback, K., Clark, M., West, A.J., Zekkos, D., , L., Gallen, S.F., Chamlagain, D., and Godt, J.W., 2018, The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal: Geomorphology, v. 301, p. 121-138, https://doi.org/10.1016/j.geomorph.2017.01.030.","productDescription":"18 p.","startPage":"121","endPage":"138","ipdsId":"IP-079061","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":469121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2017.01.030","text":"Publisher Index Page"},{"id":352354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              84.04541015625,\n              26.43122806450644\n            ],\n            [\n              87.14355468749999,\n              26.43122806450644\n            ],\n            [\n              87.14355468749999,\n              29.132970130878636\n            ],\n            [\n              84.04541015625,\n              29.132970130878636\n            ],\n            [\n              84.04541015625,\n              26.43122806450644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"301","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc259","contributors":{"authors":[{"text":"Roback, Kevin","contributorId":200288,"corporation":false,"usgs":false,"family":"Roback","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":730662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin K.","contributorId":139684,"corporation":false,"usgs":false,"family":"Clark","given":"Marin K.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"West, A. Joshua","contributorId":200289,"corporation":false,"usgs":false,"family":"West","given":"A.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":730664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zekkos, Dimitrios","contributorId":200290,"corporation":false,"usgs":false,"family":"Zekkos","given":"Dimitrios","email":"","affiliations":[],"preferred":false,"id":730665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":" Li","contributorId":203216,"corporation":false,"usgs":false,"given":"Li","email":"","affiliations":[],"preferred":false,"id":730666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallen, Sean F.","contributorId":139683,"corporation":false,"usgs":false,"family":"Gallen","given":"Sean","email":"","middleInitial":"F.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chamlagain, Deepak","contributorId":200291,"corporation":false,"usgs":false,"family":"Chamlagain","given":"Deepak","email":"","affiliations":[],"preferred":false,"id":730668,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":730661,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203236,"text":"70203236 - 2018 - Size, growth, and density data for shallow-water sea urchins from Mexico to the Aleutian Islands, Alaska, 1956–2016","interactions":[],"lastModifiedDate":"2021-08-12T15:03:32.594149","indexId":"70203236","displayToPublicDate":"2017-12-27T07:32:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Size, growth, and density data for shallow-water sea urchins from Mexico to the Aleutian Islands, Alaska, 1956–2016","docAbstract":"<p><span>Size, growth, and density have been studied for North American Pacific coast sea urchins&nbsp;</span><i>Strongylocentrotus purpuratus</i><span>,</span><i><span>&nbsp;</span>S.&nbsp;droebachiensis, S.&nbsp;polyacanthus</i><span>,</span><i><span>&nbsp;</span>Mesocentrotus (Strongylocentrotus) franciscanus</i><span>,</span><i><span>&nbsp;</span>Lytechinus pictus</i><span>,</span><i><span>&nbsp;</span>Centrostephanus coronatus</i><span>, and&nbsp;</span><i>Arbacia stellata</i><span>&nbsp;by various workers at diverse sites and for varying lengths of time from 1956 to present. Numerous peer-reviewed publications have used some of these data but some data have appeared only in graduate theses or the gray literature. There also are data that have never appeared outside original data sheets. Motivation for studies has included fisheries management and environmental monitoring of sewer and power plant outfalls as well as changes associated with disease epidemics. Studies also have focused on kelp restoration, community effects of sea otters, basic sea urchin biology, and monitoring. The data sets presented here are a historical record of size, density, and growth for a common group of marine invertebrates in intertidal and nearshore environments that can be used to test hypotheses concerning future changes associated with fisheries practices, shifts of predator distributions, climate and ecosystem changes, and ocean acidification along the Pacific Coast of North America and islands of the north Pacific.&nbsp;</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2123","usgsCitation":"Ebert, T.A., Barr, L., Bodkin, J.L., Burcham, D., Bureau, D., Carson, H., Caruso, N., Caselle, J.E., Claisse, J., Clemente, S., Davis, K., Detwiler, P., Dixon, J., Duggins, D., Engle, J., Estes, J., Groth, S., Grupe, B., Halmay, P., Hebert, K., Hernandez, J.C., Jurgens, L.J., Kalvass, P., Kenner, M.C., Konar, B., Kushner, D., Lee, L., Leighton, D., Montano-Moctezuma, G., Munk, E., Olguin Espinoza, I., and Weitzman, B., 2018, Size, growth, and density data for shallow-water sea urchins from Mexico to the Aleutian Islands, Alaska, 1956–2016: Ecology, v. 99, no. 3, https://doi.org/10.1002/ecy.2123.","productDescription":"1 p.","startPage":"761","ipdsId":"IP-092000","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469133,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2123","text":"Publisher Index Page"},{"id":363414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"Pacific Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.39501953125,\n              14.859850400601037\n            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,{"id":70194702,"text":"70194702 - 2018 - Are ranger patrols effective in reducing poaching-related threats within protected areas?","interactions":[],"lastModifiedDate":"2017-12-13T13:31:57","indexId":"70194702","displayToPublicDate":"2017-12-13T00:00:00","publicationYear":"2018","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":"Are ranger patrols effective in reducing poaching-related threats within protected areas?","docAbstract":"<ol id=\"jpe12965-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Poaching is one of the greatest threats to wildlife conservation world-wide. However, the spatial and temporal patterns of poaching activities within protected areas, and the effectiveness of ranger patrols and ranger posts in mitigating these threats, are relatively unknown.</li><li>We used 10&nbsp;years (2006–2015) of ranger-based monitoring data and dynamic multi-season occupancy models to quantify poaching-related threats, to examine factors influencing the spatio-temporal dynamics of these threats and to test the efficiency of management actions to combat poaching in Nyungwe National Park (NNP), Rwanda.</li><li>The probability of occurrence of poaching-related threats was highest at lower elevations (1,801–2,200&nbsp;m), especially in areas that were close to roads and tourist trails; conversely, occurrence probability was lowest at high elevation sites (2,601–3,000&nbsp;m), and near the park boundary and ranger posts. The number of ranger patrols substantially increased the probability that poaching-related threats disappear at a site if threats were originally present (i.e. probability of extinction of threats). Without ranger visits, the annual probability of extinction of poaching-related threats was an estimated 7%; this probability would increase to 20% and 57% with 20 and 50 ranger visits per year, respectively.</li><li>Our results suggest that poaching-related threats can be effectively reduced in NNP by adding ranger posts in areas where they do not currently exist, and by increasing the number of patrols to sites where the probability of poaching activities is high.</li><li><i>Synthesis and applications</i>. Our application of dynamic occupancy models to predict the probability of presence of poaching-related threats is novel, and explicitly considers imperfect detection of illegal activities. Based on the modelled relationships, we identify areas that are most vulnerable to poaching, and offer insights regarding how ranger patrols can be optimally deployed to reduce poaching-related threats and other illegal activites, while taking into account potential sampling biases. We show that poaching can be effectively reduced by increasing ranger patrols to areas under high risk of poaching activities, and by adding ranger patrols near these sites. These findings are broadly applicable to national parks and protected areas experiencing a high degree of poaching and other illegal activities.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12965","usgsCitation":"Moore, J.F., Mulindahabi, F., Masozera, M.K., Nichols, J.D., Hines, J.E., Turikunkiko, E., and Oli, M.K., 2018, Are ranger patrols effective in reducing poaching-related threats within protected areas?: Journal of Applied Ecology, v. 55, no. 1, p. 99-107, https://doi.org/10.1111/1365-2664.12965.","productDescription":"9 p.","startPage":"99","endPage":"107","ipdsId":"IP-083605","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469137,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12965","text":"Publisher Index Page"},{"id":349969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Rwanda","otherGeospatial":"Nyungwe National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              28.976440429687496,\n              -2.8662354211137324\n            ],\n            [\n              29.52850341796875,\n              -2.8662354211137324\n            ],\n            [\n              29.52850341796875,\n              -2.2214281090541204\n            ],\n            [\n              28.976440429687496,\n              -2.2214281090541204\n            ],\n            [\n              28.976440429687496,\n              -2.8662354211137324\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-02","publicationStatus":"PW","scienceBaseUri":"5a60fad3e4b06e28e9c22744","contributors":{"authors":[{"text":"Moore, Jennnifer F.","contributorId":201298,"corporation":false,"usgs":false,"family":"Moore","given":"Jennnifer","email":"","middleInitial":"F.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":724935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulindahabi, Felix","contributorId":201299,"corporation":false,"usgs":false,"family":"Mulindahabi","given":"Felix","email":"","affiliations":[{"id":35968,"text":"Wildlife Conservation Society, Rwanda Program","active":true,"usgs":false}],"preferred":false,"id":724936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masozera, Michel K.","contributorId":201300,"corporation":false,"usgs":false,"family":"Masozera","given":"Michel","email":"","middleInitial":"K.","affiliations":[{"id":35968,"text":"Wildlife Conservation Society, Rwanda Program","active":true,"usgs":false}],"preferred":false,"id":724937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":724934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":724938,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turikunkiko, Ezechiel","contributorId":201301,"corporation":false,"usgs":false,"family":"Turikunkiko","given":"Ezechiel","email":"","affiliations":[{"id":35969,"text":"Rwanda Development Board, Nyungwe National Park, Kitabi, Rwanda","active":true,"usgs":false}],"preferred":false,"id":724939,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oli, Madan K. 0000-0001-6944-0061","orcid":"https://orcid.org/0000-0001-6944-0061","contributorId":201302,"corporation":false,"usgs":false,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":724940,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194697,"text":"70194697 - 2018 - Making do with less: Must sparse data preclude informed harvest strategies for European waterbirds?","interactions":[],"lastModifiedDate":"2018-03-05T15:35:22","indexId":"70194697","displayToPublicDate":"2017-12-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Making do with less: Must sparse data preclude informed harvest strategies for European waterbirds?","docAbstract":"<p><span>The demography of many European waterbirds is not well understood because most countries have conducted little monitoring and assessment, and coordination among countries on waterbird management has little precedent. Yet intergovernmental treaties now mandate the use of sustainable, adaptive harvest strategies, whose development is challenged by a paucity of demographic information. In this study, we explore how a combination of allometric relationships, fragmentary monitoring and research information, and expert judgment can be used to estimate the parameters of a theta-logistic population model, which in turn can be used in a Markov decision process to derive optimal harvesting strategies. We show how to account for considerable parametric uncertainty, as well as for different management objectives. We illustrate our methodology with a poorly understood population of taiga bean geese (</span><i>Anser fabalis fabalis</i><span>), which is a popular game bird in Fennoscandia. Our results for taiga bean geese suggest that they may have demographic rates similar to other, well-studied species of geese, and our model-based predictions of population size are consistent with the limited monitoring information available. Importantly, we found that by using a Markov decision process, a simple scalar population model may be sufficient to guide harvest management of this species, even if its demography is age-structured. Finally, we demonstrated how two different management objectives can lead to very different optimal harvesting strategies, and how conflicting objectives may be traded off with each other. This approach will have broad application for European waterbirds by providing preliminary estimates of key demographic parameters, by providing insights into the monitoring and research activities needed to corroborate those estimates, and by producing harvest management strategies that are optimal with respect to the managers’ objectives, options, and available demographic information.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1659","usgsCitation":"Johnson, F.A., Alhainen, M., Fox, A.D., Madsen, J., and Guillemain, M., 2018, Making do with less: Must sparse data preclude informed harvest strategies for European waterbirds?: Ecological Applications, v. 28, no. 2, p. 427-441, https://doi.org/10.1002/eap.1659.","productDescription":"15 p.","startPage":"427","endPage":"441","ipdsId":"IP-088929","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488803,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pure.au.dk/portal/en/publications/a2b6629c-a26a-4469-86e1-4330c86ccf42","text":"External Repository"},{"id":349956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europe","volume":"28","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-29","publicationStatus":"PW","scienceBaseUri":"5a60fae9e4b06e28e9c22970","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":724914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alhainen, Mikko","contributorId":141140,"corporation":false,"usgs":false,"family":"Alhainen","given":"Mikko","email":"","affiliations":[{"id":13690,"text":"Finnish Wildlife Agency","active":true,"usgs":false}],"preferred":false,"id":724915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Anthony D.","contributorId":130960,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":724916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madsen, Jesper","contributorId":178168,"corporation":false,"usgs":false,"family":"Madsen","given":"Jesper","email":"","affiliations":[],"preferred":false,"id":724917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guillemain, Matthieu","contributorId":141131,"corporation":false,"usgs":false,"family":"Guillemain","given":"Matthieu","email":"","affiliations":[{"id":13683,"text":"French National Hunting and Wildlife Agency (ONCFS)","active":true,"usgs":false}],"preferred":false,"id":724918,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70250552,"text":"70250552 - 2018 - Parasite spillover: Indirect effects of invasive Burmese pythons","interactions":[],"lastModifiedDate":"2023-12-15T12:49:00.072823","indexId":"70250552","displayToPublicDate":"2017-12-10T06:46:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Parasite spillover: Indirect effects of invasive Burmese pythons","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Identification of the origin of parasites of nonindigenous species (NIS) can be complex. NIS may introduce parasites from their native range and acquire parasites from within their invaded range. Determination of whether parasites are non-native or native can be complicated when parasite genera occur within both the NIS’ native range and its introduced range. We explored potential for spillover and spillback of lung parasites infecting Burmese pythons (<i>Python bivittatus</i>) in their invasive range (Florida). We collected 498 indigenous snakes of 26 species and 805 Burmese pythons during 2004–2016 and examined them for lung parasites. We used morphology to identify three genera of pentastome parasites,<span>&nbsp;</span><i>Raillietiella</i>, a cosmopolitan form, and<span>&nbsp;</span><i>Porocephalus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Kiricephalus</i>, both New World forms. We sequenced these parasites at one mitochondrial and one nuclear locus and showed that each genus is represented by a single species,<span>&nbsp;</span><i>R.&nbsp;orientalis</i>,<i><span>&nbsp;</span>P.&nbsp;crotali</i>, and<span>&nbsp;</span><i>K.&nbsp;coarctatus</i>. Pythons are host to<span>&nbsp;</span><i>R.&nbsp;orientalis</i><span>&nbsp;</span>and<span>&nbsp;</span><i>P.&nbsp;crotali</i>, but not<span>&nbsp;</span><i>K.&nbsp;coarctatus</i>; native snakes are host to all three species. Sequence data show that pythons introduced<span>&nbsp;</span><i>R.&nbsp;orientalis</i><span>&nbsp;</span>to North America, where this parasite now infects native snakes. Additionally, our data suggest that pythons are competent hosts to<span>&nbsp;</span><i>P.&nbsp;crotali</i>, a widespread parasite native to North and South America that was previously hypothesized to infect only viperid snakes. Our results indicate invasive Burmese pythons have affected parasite-host dynamics of native snakes in ways that are consistent with parasite spillover and demonstrate the potential for indirect effects during invasions. Additionally, we show that pythons have acquired a parasite native to their introduced range, which is the initial condition necessary for parasite spillback.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3557","usgsCitation":"Miller, M.A., Kinsella, J.M., Snow, R.W., Hayes, M.M., Falk, B., Reed, R., Mazzotti, F.J., Guyer, C., and Romagosa, C.M., 2018, Parasite spillover: Indirect effects of invasive Burmese pythons: Ecology and Evolution, v. 8, no. 2, p. 830-840, https://doi.org/10.1002/ece3.3557.","productDescription":"11 p.","startPage":"830","endPage":"840","ipdsId":"IP-088197","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":469141,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3557","text":"Publisher Index Page"},{"id":423617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.2322197941513,\n              27.023249036412636\n            ],\n            [\n              -82.2322197941513,\n              24.953530151146467\n            ],\n            [\n              -79.69052675700385,\n              24.953530151146467\n            ],\n            [\n              -79.69052675700385,\n              27.023249036412636\n            ],\n            [\n              -82.2322197941513,\n              27.023249036412636\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2017-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Melissa A.","contributorId":57701,"corporation":false,"usgs":false,"family":"Miller","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":39007,"text":"CA Dept of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":890349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinsella, John M.","contributorId":190343,"corporation":false,"usgs":false,"family":"Kinsella","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":890350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snow, Ray W.","contributorId":76449,"corporation":false,"usgs":false,"family":"Snow","given":"Ray","email":"","middleInitial":"W.","affiliations":[{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":890351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Malorie M","contributorId":332523,"corporation":false,"usgs":false,"family":"Hayes","given":"Malorie","email":"","middleInitial":"M","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":890352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falk, Bryan 0000-0002-9690-5626 bfalk@usgs.gov","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":150075,"corporation":false,"usgs":true,"family":"Falk","given":"Bryan","email":"bfalk@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":890353,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Robert 0000-0001-8349-6168","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":267796,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":890354,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazzotti, Frank J.","contributorId":146647,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank","email":"","middleInitial":"J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":890355,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guyer, Craig","contributorId":104800,"corporation":false,"usgs":false,"family":"Guyer","given":"Craig","email":"","affiliations":[],"preferred":false,"id":890356,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":890357,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70193307,"text":"70193307 - 2018 - Lead and strontium isotopes as monitors of anthropogenic contaminants in the surficial environment","interactions":[],"lastModifiedDate":"2020-08-20T17:00:35.524226","indexId":"70193307","displayToPublicDate":"2017-12-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"Lead and strontium isotopes as monitors of anthropogenic contaminants in the surficial environment","docAbstract":"<p><span>Isotopic discrimination can be an effective tool in establishing a direct link between sources of Pb contamination and the presence of anomalously high concentrations of Pb in waters, soils, and organisms. Residential wells supplying water containing up to 1600&nbsp;ppb Pb to houses built on the former Mohr orchards commercial site, near Allentown, Pennsylvania, United States, were evaluated to discern anthropogenic from geogenic sources. Pb and Sr isotopic data and REE data were determined for waters from residential wells, test wells (drilled for this study), and surface waters from pond and creeks. Local soils, sediments, bedrock, Zn-Pb mineralization and coal were also analyzed, together with locally used Pb-As pesticide. Pb isotope data for residential wells, test wells, and surface waters show substantial overlap with Pb data reflecting anthropogenic actions (e.g., burning fossil fuels, industrial and urban processing activities). Limited contributions of Pb from bedrock, soils, and pesticides are evident. High Pb concentrations in the residential waters are likely related to Pb in groundwater accumulating in sediment in the residential water tanks. The Pb isotope features of waters in underlying shallow aquifers that supply residential wells in the region are best interpreted as reflecting a legacy of anthropogenic Pb rather than geogenic Pb.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Environmental Geochemistry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63763-5.00013-6","usgsCitation":"Ayuso, R.A., and Foley, N.K., 2018, Lead and strontium isotopes as monitors of anthropogenic contaminants in the surficial environment, chap. 12 <i>of</i> Environmental Geochemistry, p. 307-362, https://doi.org/10.1016/B978-0-444-63763-5.00013-6.","productDescription":"56 p.","startPage":"307","endPage":"362","ipdsId":"IP-082091","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad4e4b06e28e9c22765","contributors":{"authors":[{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":718623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718624,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194558,"text":"sir20175109 - 2018 - Sequence stratigraphy, seismic stratigraphy, and seismic structures of the lower intermediate confining unit and most of the Floridan aquifer system, Broward County, Florida","interactions":[],"lastModifiedDate":"2018-01-25T09:03:53","indexId":"sir20175109","displayToPublicDate":"2017-12-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5109","title":"Sequence stratigraphy, seismic stratigraphy, and seismic structures of the lower intermediate confining unit and most of the Floridan aquifer system, Broward County, Florida","docAbstract":"<p>Deep well injection and disposal of treated wastewater into the highly transmissive saline Boulder Zone in the lower part of the Floridan aquifer system began in 1971. The zone of injection is a highly transmissive hydrogeologic unit, the Boulder Zone, in the lower part of the Floridan aquifer system. Since the 1990s, however, treated wastewater injection into the Boulder Zone in southeastern Florida has been detected at three treated wastewater injection utilities in the brackish upper part of the Floridan aquifer system designated for potential use as drinking water. At a time when usage of the Boulder Zone for treated wastewater disposal is increasing and the utilization of the upper part of the Floridan aquifer system for drinking water is intensifying, there is an urgency to understand the nature of cross-formational fluid flow and identify possible fluid pathways from the lower to upper zones of the Floridan aquifer system. To better understand the hydrogeologic controls on groundwater movement through the Floridan aquifer system in southeastern Florida, the U.S. Geological Survey and the Broward County Environmental Planning and Community Resilience Division conducted a 3.5-year cooperative study from July 2012 to December 2015. The study characterizes the sequence stratigraphy, seismic stratigraphy, and seismic structures of the lower part of the intermediate confining unit aquifer and most of the Floridan aquifer system.</p><p>Data obtained to meet the study objective include 80 miles of high-resolution, two-dimensional (2D), seismic-reflection profiles acquired from canals in eastern Broward County. These profiles have been used to characterize the sequence stratigraphy, seismic stratigraphy, and seismic structures in a 425-square-mile study area. Horizon mapping of the seismic-reflection profiles and additional data collection from well logs and cores or cuttings from 44 wells were focused on construction of three-dimensional (3D) visualizations of eight sequence stratigraphic cycles that compose the Eocene to Miocene Oldsmar, Avon Park, and Arcadia Formations. The mapping of these seismic-reflection and well data has produced a refined Cenozoic sequence stratigraphic, seismic stratigraphic, and hydrogeologic framework of southeastern Florida. The upward transition from the Oldsmar Formation to the Avon Park Formation and the Arcadia Formation embodies the evolution from (1) a tropical to subtropical, shallow-marine, carbonate platform, represented by the Oldsmar and Avon Park Formations, to (2) a broad, temperate, mixed carbonate-siliciclastic shallow marine shelf, represented by the lower part of the Arcadia Formation, and to (3) a temperate, distally steepened carbonate ramp represented by the upper part of the Arcadia Formation.</p><p>In the study area, the depositional sequences and seismic sequences have a direct correlation with hydrogeologic units. The approximate upper boundary of four principal permeable units of the Floridan aquifer system (Upper Floridan aquifer, Avon Park permeable zone, uppermost major permeable zone of the Lower Floridan aquifer, and Boulder Zone) have sequence stratigraphic and seismic-reflection signatures that were identified on cross sections, mapped, or both, and therefore the sequence stratigraphy and seismic stratigraphy were used to guide the development of a refined spatial representation of these hydrogeologic units. In all cases, the permeability of the four permeable units is related to stratiform megaporosity generated by ancient dissolution of carbonate rock associated with subaerial exposure and unconformities at the upper surfaces of carbonate depositional cycles of several&nbsp;hierarchical scales ranging from high-frequency cycles to depositional sequences. Additionally, interparticle porosity also contributes substantially to the stratiform permeability in much of the Upper Floridan aquifer. Information from seismic stratigraphy allowed 3D geomodeling of hydrogeologic units—an approach never before applied to this area. Notably, the 3D geomodeling provided 3D visualizations and geocellular models of the depositional sequences, hydrostratigraphy, and structural features. The geocellular data could be used to update the hydrogeologic structure inherent to groundwater flow simulations that are designed to address the sustainability of the water resources of the Floridan aquifer system.</p><p>Two kinds of pathways that could enable upward cross-formational flow of injected treated wastewater from the Boulder Zone have been identified in the 80 miles of high-resolution seismic data collected for this study: a near-vertical reverse fault and karst collapse structures. The single reverse fault, inferred to be of tectonic origin, is in extreme northeastern Broward County and has an offset of about 19 feet at the level of the Arcadia Formation. Most of the 17 karst collapse structures identified manifest as columniform, vertically stacked sagging seismic reflections that span early Eocene to Miocene age rocks equivalent to much of the Floridan aquifer system and the lower part of the overlying intermediate confining unit. In some cases, the seismic-sag structures extend upward into strata of Pliocene age. The seismic-sag structures are interpreted to have a semicircular shape in plan view on the basis of comparison to (1) other seismic-sag structures in southeastern Florida mapped with two 2D seismic cross lines or 3D data, (2) comparison to these structures located in other carbonate provinces, and (3) plausible extensional ring faults detected with multi-attribute analysis. The seismic-sag structures in the study area have heights as great as 2,500 vertical feet, though importantly, one spans about 7,800 feet. Both multi-attribute analysis and visual detection of offset of seismic reflections within the seismic-sag structures indicate faults and fractures are associated with many of the structures. Multi-attribute analysis highlighting chimney fluid pathways also indicates that the seismic-sag structures have a high probability for potential vertical cross-formational fluid flow along the faulted and fractured structures. A collapse of the seismic-sag structures within a deep burial setting evokes an origin related to hypogenic karst processes by ascending flow of subsurface fluids. In addition, paleo-epigenic karst related to major regional subaerial unconformities within the Florida Platform generated collapse structures (paleo-sinkholes) that are much smaller in scale than the cross-formational seismic-sag structures.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175109","collaboration":"Prepared in cooperation with Broward County Environmental Planning and Community Resilience Division, Florida","usgsCitation":"Cunningham, K.J., Kluesner, J.W., Westcott, R.L., Robinson, Edward, Walker, Cameron, and Khan, S.A., 2018, Sequence stratigraphy, seismic stratigraphy, and seismic structures of the lower intermediate confining unit and most of the Floridan aquifer system, Broward County, Florida (ver. 1.1, January 2018): U.S. Geological Survey Scientific Investigations Report 2017–5109, 71 p., 21 pls., https://doi.org/10.3133/sir20175109.","productDescription":"Report: ix, 71 p.; 21 Plates; 2 Data Releases","numberOfPages":"86","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066339","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":349725,"rank":20,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate18.pdf","text":"Plate 18","size":"10.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 18","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the Eastern C–9 Canal, Oleta River, and Intracoastal Waterway, Miami-Dade County, Florida"},{"id":349728,"rank":23,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate21.pdf","text":"Plate 21","size":"5.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 21","linkHelpText":"Multi-Attribute Fault and Chimney Analyses of a Seismic-Reflection Profile Along the Hillsboro Canal, Eastern Broward County, Florida"},{"id":349721,"rank":16,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate14.pdf","text":"Plate 14","size":"16.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 14","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the C–11 Canal, Eastern Broward County, Florida"},{"id":349726,"rank":21,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate19.pdf","text":"Plate 19","size":"11.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 19","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the Eastern C–9 Canal, Oleta River, and Intracoastal Waterway, Miami-Dade County, Florida"},{"id":349710,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate03.pdf","text":"Plate 3","size":"9.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 3","linkHelpText":"Block Models Showing Altitudes of Eight Depositional-Sequence Upper Boundaries of the Oldsmar Formation, Avon Park Formation, and Arcadia Formation, Eastern Broward County, Florida"},{"id":349724,"rank":19,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate17.pdf","text":"Plate 17","size":"24.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 17","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the C–9 Canal, Miami-Dade and Broward Counties, Florida"},{"id":349723,"rank":18,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate16.pdf","text":"Plate 16","size":"24.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 16","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the C–9 Canal, Miami-Dade and Broward Counties, Florida"},{"id":349708,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate01.pdf","text":"Plate 1","size":"4.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 1","linkHelpText":"Synthetic Seismograms from Floridan Aquifer System Wells, Eastern Broward County, Florida, Part 1"},{"id":349720,"rank":15,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate13.pdf","text":"Plate 13","size":"21.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 13","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the North New River Canal, Eastern Broward County, Florida"},{"id":349706,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5109/coverthb2.jpg"},{"id":349707,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109.pdf","text":"Report","size":"36.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109"},{"id":349730,"rank":25,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77942R3","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Marine seismic profiles used to assess the seismic stratigraphy and structure of the intermediate confining unit and Floridan aquifer system, Broward County, Florida"},{"id":350450,"rank":26,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2017/5109/versionHist.txt","size":"1 MB","linkFileType":{"id":2,"text":"txt"}},{"id":349709,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate02.pdf","text":"Plate 2","size":"2.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 2","linkHelpText":"Synthetic Seismograms from Floridan Aquifer System Wells, Eastern Broward County, Florida, Part 2"},{"id":349711,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate04.pdf","text":"Plate 4","size":"16.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 4","linkHelpText":"Maps Showing Altitudes of Eight Depositional-Sequence Upper Boundaries of the Oldsmar Formation, Avon Park Formation, and Arcadia Formation, Eastern Broward County, Florida"},{"id":349712,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate05.pdf","text":"Plate 5","size":"2.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 5","linkHelpText":"Detailed Graphical Lithologic Log of the Avon Park Formation in the G–2984 Test Corehole"},{"id":349717,"rank":12,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate10.pdf","text":"Plate 10","size":"37.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 10","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the L–35A and L–36 Canals, Eastern Broward County, Florida"},{"id":349716,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate09.pdf","text":"Plate 9","size":"33.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 9","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the C–13 Canal, Eastern Broward County, Florida"},{"id":349722,"rank":17,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate15.pdf","text":"Plate 15","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 15","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the C–11 Canal, Eastern Broward County, Florida"},{"id":349713,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate06.pdf","text":"Plate 6","size":"24.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 6","linkHelpText":"Uninterpreted Seismic-Reflection Profile Along the Hillsboro Canal, Eastern Broward County, Florida"},{"id":349719,"rank":14,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate12.pdf","text":"Plate 12","size":"20.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 12","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the North New River Canal, Eastern Broward County, Florida"},{"id":349729,"rank":24,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72R3PVF","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida"},{"id":349714,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate07.pdf","text":"Plate 7","size":"24.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 7","linkHelpText":"Interpreted Seismic-Reflection Profile Along the Hillsboro Canal, Eastern Broward County, Florida"},{"id":349727,"rank":22,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate20.pdf","text":"Plate 20","size":"711 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 20","linkHelpText":"Detailed Graphical Lithologic Log of the Arcadia Formation in the G–2984 Test Corehole"},{"id":349715,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate08.pdf","text":"Plate 8","size":"32.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 8","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the C-13 Canal, Eastern Broward County, Florida"},{"id":349718,"rank":13,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate11.pdf","text":"Plate 11","size":"37.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 11","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the L–35A and L–36 Canals, Eastern Broward County, Florida"}],"country":"United States","state":"Florida","county":"Broward County","otherGeospatial":"Floridan Aquifer System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.44395446777344,\n              25.921614023117172\n            ],\n            [\n              -80.06629943847656,\n              25.921614023117172\n            ],\n            [\n              -80.06629943847656,\n              26.35742006833118\n            ],\n            [\n              -80.44395446777344,\n              26.35742006833118\n            ],\n            [\n              -80.44395446777344,\n              25.921614023117172\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally released December 8, 2017; Version 1.1: January 16, 2018","contact":"<p>Director, <a href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\" data-mce-href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>4446 Pet Lane, Suite 108<br>Lutz, FL 33559<br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods of Investigation<br></li><li>Geology and Sequence Stratigraphy<br></li><li>Hydrogeology<br></li><li>Seismic Stratigraphy<br></li><li>Seismic Structures<br></li><li>Summary and Conclusions<br></li><li>References Cited<br></li><li>Glossary<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-12-08","revisedDate":"2018-01-16","noUsgsAuthors":false,"publicationDate":"2017-12-08","publicationStatus":"PW","scienceBaseUri":"5a60e452e4b06e28e9c1406d","contributors":{"authors":[{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":724466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kluesner, Jared W. 0000-0003-1701-8832 jkluesner@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":167088,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared","email":"jkluesner@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":724470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westcott, Richard L.","contributorId":201159,"corporation":false,"usgs":false,"family":"Westcott","given":"Richard L.","affiliations":[],"preferred":false,"id":724468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Edward","contributorId":193060,"corporation":false,"usgs":false,"family":"Robinson","given":"Edward","affiliations":[],"preferred":false,"id":724467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walker, Cameron","contributorId":81777,"corporation":false,"usgs":true,"family":"Walker","given":"Cameron","affiliations":[],"preferred":false,"id":724471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Khan, Shakira A.","contributorId":201160,"corporation":false,"usgs":false,"family":"Khan","given":"Shakira","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724469,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194569,"text":"70194569 - 2018 - Fog water collection effectiveness: Mesh intercomparisons","interactions":[],"lastModifiedDate":"2018-01-11T16:29:06","indexId":"70194569","displayToPublicDate":"2017-12-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5576,"text":"Aerosol and Air Quality Research","onlineIssn":"2071-1409","printIssn":"1680-8584","active":true,"publicationSubtype":{"id":10}},"title":"Fog water collection effectiveness: Mesh intercomparisons","docAbstract":"<p><span>To explore fog water harvesting potential in California, we conducted long-term measurements involving three types of mesh using standard fog collectors (SFC). Volumetric fog water measurements from SFCs and wind data were collected and recorded in 15-minute intervals over three summertime fog seasons (2014–2016) at four California sites. SFCs were deployed with: standard 1.00 m</span><sup>2</sup><span><span>&nbsp;</span>double-layer 35% shade coefficient Raschel; stainless steel mesh coated with the MIT-14 hydrophobic formulation; and FogHa-Tin, a German manufactured, 3-dimensional spacer fabric deployed in two orientations. Analysis of 3419 volumetric samples from all sites showed strong relationships between mesh efficiency and wind speed. Raschel mesh collected 160% more fog water than FogHa-Tin at wind speeds less than 1 m s</span><sup>–1</sup><span><span>&nbsp;</span>and 45% less for wind speeds greater than 5 m s</span><sup>–1</sup><span>. MIT-14 coated stainless-steel mesh collected more fog water than Raschel mesh at all wind speeds. At low wind speeds of &lt; 1 m s</span><sup>–1</sup><span><span>&nbsp;</span>the coated stainless steel mesh collected 3% more and at wind speeds of 4–5 m s</span><sup>–1</sup><span>, it collected 41% more. FogHa-Tin collected 5% more fog water when the warp of the weave was oriented vertically, per manufacturer specification, than when the warp of the weave was oriented horizontally. Time series measurements of three distinct mesh across similar wind regimes revealed inconsistent lags in fog water collection and inconsistent performance. Since such differences occurred under similar wind-speed regimes, we conclude that other factors play important roles in mesh performance, including in-situ fog event and aerosol dynamics that affect droplet-size spectra and droplet-to-mesh surface interactions.</span></p>","language":"English","publisher":"AAQR","doi":"10.4209/aaqr.2017.01.0040","usgsCitation":"Fernandez, D., Torregrosa, A.A., Weiss-Penzias, P., Zhang, B.J., Sorensen, D., Cohen, R., McKinley, G., Kleingartner, J., Oliphant, A., and Bowman, M., 2018, Fog water collection effectiveness: Mesh intercomparisons: Aerosol and Air Quality Research, v. 18, no. 1, p. 270-283, https://doi.org/10.4209/aaqr.2017.01.0040.","productDescription":"14 p.","startPage":"270","endPage":"283","ipdsId":"IP-083333","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469142,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4209/aaqr.2017.01.0040","text":"Publisher Index Page"},{"id":349889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.07983398437499,\n              36.230981283477924\n            ],\n            [\n              -121.67358398437499,\n              36.230981283477924\n            ],\n            [\n              -121.67358398437499,\n              38.758366935612784\n            ],\n            [\n              -123.07983398437499,\n              38.758366935612784\n            ],\n            [\n              -123.07983398437499,\n              36.230981283477924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad4e4b06e28e9c22760","contributors":{"authors":[{"text":"Fernandez, Daniel","contributorId":201177,"corporation":false,"usgs":false,"family":"Fernandez","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":724513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":724512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiss-Penzias, Peter","contributorId":177440,"corporation":false,"usgs":false,"family":"Weiss-Penzias","given":"Peter","affiliations":[],"preferred":false,"id":724514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Bong June","contributorId":201178,"corporation":false,"usgs":false,"family":"Zhang","given":"Bong","email":"","middleInitial":"June","affiliations":[],"preferred":false,"id":724515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sorensen, Deckard","contributorId":201179,"corporation":false,"usgs":false,"family":"Sorensen","given":"Deckard","email":"","affiliations":[],"preferred":false,"id":724516,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cohen, Robert","contributorId":201180,"corporation":false,"usgs":false,"family":"Cohen","given":"Robert","affiliations":[],"preferred":false,"id":724517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKinley, Gareth","contributorId":201181,"corporation":false,"usgs":false,"family":"McKinley","given":"Gareth","email":"","affiliations":[],"preferred":false,"id":724518,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kleingartner, Justin","contributorId":201182,"corporation":false,"usgs":false,"family":"Kleingartner","given":"Justin","email":"","affiliations":[],"preferred":false,"id":724519,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Oliphant, Andrew","contributorId":201183,"corporation":false,"usgs":false,"family":"Oliphant","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":724520,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bowman, Matthew","contributorId":201184,"corporation":false,"usgs":false,"family":"Bowman","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":724521,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70194649,"text":"70194649 - 2018 - Recreation economics to inform migratory species conservation: Case study of the northern pintail","interactions":[],"lastModifiedDate":"2020-09-01T20:32:22.651796","indexId":"70194649","displayToPublicDate":"2017-12-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Recreation economics to inform migratory species conservation: Case study of the northern pintail","docAbstract":"<p><span>Quantification of the economic value provided by migratory species can aid in targeting management efforts and funding to locations yielding the greatest benefits to society and species conservation. Here we illustrate a key step in this process by estimating hunting and birding values of the northern pintail (</span><i>Anas acuta</i><span>) within primary breeding and wintering habitats used during the species’ annual migratory cycle in North America. We used published information on user expenditures and net economic values (consumer surplus) for recreational viewing and hunting to determine the economic value of pintail-based recreation in three primary breeding areas and two primary wintering areas. Summed expenditures and consumer surplus for northern pintail viewing were annually valued at \\$70M, and annual sport hunting totaled \\$31M (2014 USD). Expenditures for viewing (\\$42M) were more than twice as high than those for hunting (\\$18M). Estimates of consumer surplus, defined as the amount consumers are willing to pay above their current expenditures, were $15M greater for viewing (\\$28M) than for hunting (\\$13M). We discovered substantial annual consumer surplus (\\$41M) available for pintail conservation from birders and hunters. We also found spatial differences in economic value among the primary regions used by pintails, with viewing generally valued more in breeding regions than in wintering regions and the reverse being true for hunting. The economic value of pintail-based recreation in the Western wintering region (\\$26M) exceeded that in any other region by at least a factor of three. Our approach of developing regionally explicit economic values can be extended to other taxonomic groups, and is particularly suitable for migratory game birds because of the availability of large amounts of data. When combined with habitat-linked population models, regionally explicit values could inform development of more effective conservation finance and policy mechanisms to enhance environmental management and societal benefits across the geographically dispersed areas used by migratory species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2017.11.048","usgsCitation":"Mattsson, B.J., Dubovsky, J.A., Thogmartin, W.E., Bagstad, K.J., Goldstein, J.H., Loomis, J., Diffendorfer, J., Semmens, D.J., Wiederholt, R., and Lopez-Hoffman, L., 2018, Recreation economics to inform migratory species conservation: Case study of the northern pintail: Journal of Environmental Management, v. 206, p. 971-979, https://doi.org/10.1016/j.jenvman.2017.11.048.","productDescription":"9 p.","startPage":"971","endPage":"979","ipdsId":"IP-090412","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2017.11.048","text":"Publisher Index Page"},{"id":349885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"206","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad4e4b06e28e9c22759","contributors":{"authors":[{"text":"Mattsson, Brady J.","contributorId":201057,"corporation":false,"usgs":false,"family":"Mattsson","given":"Brady","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dubovsky, James A.","contributorId":201247,"corporation":false,"usgs":false,"family":"Dubovsky","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":724742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":724745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstein, Joshua H.","contributorId":201248,"corporation":false,"usgs":false,"family":"Goldstein","given":"Joshua","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":724746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loomis, John B.","contributorId":201249,"corporation":false,"usgs":false,"family":"Loomis","given":"John B.","affiliations":[],"preferred":false,"id":724747,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":724748,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":724749,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wiederholt, Ruscena","contributorId":149125,"corporation":false,"usgs":false,"family":"Wiederholt","given":"Ruscena","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":724750,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":724751,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70194576,"text":"70194576 - 2018 - Oak habitat recovery on California's largest islands: Scenarios for the role of corvid seed dispersal","interactions":[],"lastModifiedDate":"2018-04-17T12:34:48","indexId":"70194576","displayToPublicDate":"2017-12-07T00:00:00","publicationYear":"2018","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":"Oak habitat recovery on California's largest islands: Scenarios for the role of corvid seed dispersal","docAbstract":"<ol id=\"jpe13041-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li><p>Seed dispersal by birds is central to the passive restoration of many tree communities. Reintroduction of extinct seed dispersers can therefore restore degraded forests and woodlands. To test this, we constructed a spatially explicit simulation model, parameterized with field data, to consider the effect of different seed dispersal scenarios on the extent of oak populations. We applied the model to two islands in California's Channel Islands National Park (USA), one of which has lost a key seed disperser.</p></li><li><p>We used an ensemble modelling approach to simulate island scrub oak (<i>Quercus pacifica</i>) demography. The model was developed and trained to recreate known population changes over a 20-year period on 250-km<sup>2</sup><span>&nbsp;</span>Santa Cruz Island, and incorporated acorn dispersal by island scrub-jays (<i>Aphelocoma insularis</i>), deer mice (<i>Peromyscus maniculatus</i>) and gravity, as well as seed predation. We applied the trained model to 215-km<sup>2</sup><span>&nbsp;</span>Santa Rosa Island to examine how reintroducing island scrub-jays would affect the rate and pattern of oak population expansion. Oak habitat on Santa Rosa Island has been greatly reduced from its historical extent due to past grazing by introduced ungulates, the last of which were removed by 2011.</p></li><li><p>Our simulation model predicts that a seed dispersal scenario including island scrub-jays would increase the extent of the island scrub oak population on Santa Rosa Island by 281% over 100&nbsp;years, and by 544% over 200&nbsp;years. Scenarios without jays would result in little expansion. Simulated long-distance seed dispersal by jays also facilitates establishment of discontinuous patches of oaks, and increases their elevational distribution.</p></li><li><p><i>Synthesis and applications</i>. Scenario planning provides powerful decision support for conservation managers. We used ensemble modelling of plant demographic and seed dispersal processes to investigate whether the reintroduction of seed dispersers could provide cost-effective means of achieving broader ecosystem restoration goals on California's second-largest island. The simulation model, extensively parameterized with field data, suggests that re-establishing the mutualism with seed-hoarding jays would accelerate the expansion of island scrub oak, which could benefit myriad species of conservation concern.</p></li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.13041","usgsCitation":"Pesendorfer, M.B., Baker, C.M., Stringer, M., McDonald-Madden, E., Bode, M., McEachern, K., Morrison, S.A., and Sillett, T., 2018, Oak habitat recovery on California's largest islands: Scenarios for the role of corvid seed dispersal: Journal of Applied Ecology, v. 55, no. 3, p. 1185-1194, https://doi.org/10.1111/1365-2664.13041.","productDescription":"10 p.","startPage":"1185","endPage":"1194","ipdsId":"IP-091412","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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M.","contributorId":201188,"corporation":false,"usgs":false,"family":"Baker","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stringer, Martin","contributorId":201189,"corporation":false,"usgs":false,"family":"Stringer","given":"Martin","email":"","affiliations":[],"preferred":false,"id":724545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald-Madden, Eve","contributorId":139968,"corporation":false,"usgs":false,"family":"McDonald-Madden","given":"Eve","email":"","affiliations":[{"id":13337,"text":"CSIRO Ecosystem Services, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":724546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bode, Michael","contributorId":139966,"corporation":false,"usgs":false,"family":"Bode","given":"Michael","email":"","affiliations":[],"preferred":false,"id":724547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":724542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morrison, Scott A.","contributorId":83780,"corporation":false,"usgs":false,"family":"Morrison","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":724548,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sillett, T. Scott","contributorId":80788,"corporation":false,"usgs":false,"family":"Sillett","given":"T. Scott","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":724549,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70194642,"text":"70194642 - 2018 - Landscape-scale variation in canopy water content of giant sequoias during drought","interactions":[],"lastModifiedDate":"2018-04-27T16:45:23","indexId":"70194642","displayToPublicDate":"2017-12-07T00:00:00","publicationYear":"2018","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 variation in canopy water content of giant sequoias during drought","docAbstract":"<p><span>Recent drought (2012–2016) caused unprecedented foliage dieback in giant sequoias (</span><i>Sequoiadendron giganteum</i><span>), a species endemic to the western slope of the southern Sierra Nevada in central California. As part of an effort to understand and map sequoia response to droughts, we studied the patterns of remotely sensed canopy water content (CWC), both within and among sequoia groves in two successive years during the drought period (2015 and 2016). Our aims were: (1) to quantify giant sequoia responses to severe drought stress at a landscape scale using CWC as an indicator of crown foliage status, and (2) to estimate the effect of environmental correlates that mediate CWC change within and among giant sequoia groves. We utilized airborne high fidelity imaging spectroscopy (HiFIS) and light detection and ranging (LiDAR) data from the Carnegie Airborne Observatory to assess giant sequoia foliage status during 2015 and 2016 of the 2012–2016 droughts. A series of statistical models were generated to classify giant sequoias and to map their location in Sequoia and Kings Canyon National Parks (SEKI) and vicinity. We explored the environmental correlates and the spatial patterns of CWC change at the landscape scale. The mapped CWC was highly variable throughout the landscape during the two observation years, and proved to be most closely related to geological substrates, topography, and site-specific water balance. While there was an overall net gain in sequoia CWC between 2015 and 2016, certain locations (lower elevations, steeper slopes, areas more distant from surface water sources, and areas with greater climate water deficit) showed CWC losses. In addition, we found greater CWC loss in shorter sequoias and those growing in areas with lower sequoia stem densities. Our results suggest that CWC change indicates sequoia response to droughts across landscapes. Long-term monitoring of giant sequoia CWC will likely be useful for modeling and predicting their population-level response to future climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2017.11.018","usgsCitation":"Paz-Kagan, T., Vaughn, N.R., Martin, R.E., Brodrick, P.G., Stephenson, N.L., Das, A., Nydick, K.R., and Asner, G.P., 2018, Landscape-scale variation in canopy water content of giant sequoias during drought: Forest Ecology and Management, v. 419-420, p. 291-304, https://doi.org/10.1016/j.foreco.2017.11.018.","productDescription":"14 p.","startPage":"291","endPage":"304","ipdsId":"IP-091087","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469144,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2017.11.018","text":"Publisher Index Page"},{"id":349874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","volume":"419-420","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faeae4b06e28e9c22982","contributors":{"authors":[{"text":"Paz-Kagan, Tarin","contributorId":196597,"corporation":false,"usgs":false,"family":"Paz-Kagan","given":"Tarin","email":"","affiliations":[],"preferred":false,"id":724710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaughn, Nicolas R.","contributorId":201233,"corporation":false,"usgs":false,"family":"Vaughn","given":"Nicolas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Roberta E.","contributorId":201234,"corporation":false,"usgs":false,"family":"Martin","given":"Roberta","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":724712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brodrick, Philip G.","contributorId":201235,"corporation":false,"usgs":false,"family":"Brodrick","given":"Philip","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":724713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724709,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724714,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nydick, Koren R.","contributorId":196601,"corporation":false,"usgs":false,"family":"Nydick","given":"Koren","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724715,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Asner, Gregory P.","contributorId":25393,"corporation":false,"usgs":false,"family":"Asner","given":"Gregory","email":"","middleInitial":"P.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":724716,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70194638,"text":"70194638 - 2018 - The influence of bed friction variability due to land cover on storm-driven barrier island morphodynamics","interactions":[],"lastModifiedDate":"2017-12-07T16:37:20","indexId":"70194638","displayToPublicDate":"2017-12-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"The influence of bed friction variability due to land cover on storm-driven barrier island morphodynamics","docAbstract":"<p><span>Variations in bed friction due to land cover type have the potential to influence morphologic change during storm events; the importance of these variations can be studied through numerical simulation and experimentation at locations with sufficient observational data to initialize realistic scenarios, evaluate model accuracy and guide interpretations. Two-dimensional in the horizontal plane (2DH) morphodynamic (XBeach) simulations were conducted to assess morphodynamic sensitivity to spatially varying bed friction at Dauphin Island, AL using hurricanes Ivan (2004) and Katrina (2005) as experimental test cases. For each storm, three bed friction scenarios were simulated: (1) a constant Chezy coefficient across land and water, (2) a constant Chezy coefficient across land and depth-dependent Chezy coefficients across water, and (3) spatially varying Chezy coefficients across land based on land use/land cover (LULC) data and depth-dependent Chezy coefficients across water. Modeled post-storm bed elevations were compared qualitatively and quantitatively with post-storm lidar data. Results showed that implementing spatially varying bed friction influenced the ability of XBeach to accurately simulate morphologic change during both storms. Accounting for frictional effects due to large-scale variations in vegetation and development reduced cross-barrier sediment transport and captured overwash and breaching more accurately. Model output from the spatially varying friction scenarios was used to examine the need for an existing sediment transport limiter, the influence of pre-storm topography and the effects of water level gradients on storm-driven morphodynamics.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2017.11.005","usgsCitation":"Passeri, D., Long, J.W., Plant, N.G., Bilskie, M.V., and Hagen, S.C., 2018, The influence of bed friction variability due to land cover on storm-driven barrier island morphodynamics: Coastal Engineering, v. 132, p. 82-94, https://doi.org/10.1016/j.coastaleng.2017.11.005.","productDescription":"13 p.","startPage":"82","endPage":"94","ipdsId":"IP-088110","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2017.11.005","text":"Publisher Index Page"},{"id":349878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.36509704589844,\n              30.19202472180581\n            ],\n            [\n              -88.06777954101562,\n              30.19202472180581\n            ],\n            [\n              -88.06777954101562,\n              30.295832146790442\n            ],\n            [\n              -88.36509704589844,\n              30.295832146790442\n            ],\n            [\n              -88.36509704589844,\n              30.19202472180581\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad5e4b06e28e9c22776","contributors":{"authors":[{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":724689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":724690,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208983,"text":"70208983 - 2018 - Mapping of compositional properties of coal using isometric log-ratio transformation and sequential Gaussian simulation – A comparative study for spatial ultimate analyses data","interactions":[],"lastModifiedDate":"2020-03-10T06:30:24","indexId":"70208983","displayToPublicDate":"2017-12-05T06:24:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Mapping of compositional properties of coal using isometric log-ratio transformation and sequential Gaussian simulation – A comparative study for spatial ultimate analyses data","docAbstract":"<p id=\"sp0105\">Chemical properties of coal largely determine coal handling, processing,<span>&nbsp;</span>beneficiation<span>&nbsp;methods, and design of&nbsp;coal-fired power plants. Furthermore, these properties impact coal strength, coal blending during mining, as well as coal's gas content, which is important for mining safety. In order for these processes and quantitative predictions to be successful, safer, and economically feasible, it is important to determine and map chemical properties of coals accurately in order to infer these properties prior to mining.</span></p><p id=\"sp0110\">Ultimate analysis quantifies principal chemical elements in coal. These elements are C, H, N, S, O, and, depending on the basis, ash, and/or moisture. The basis for the data is determined by the condition of the sample at the time of analysis, with an “as-received” basis being the closest to sampling conditions and thus to the in-situ conditions of the coal. The parts determined or calculated as the result of ultimate analyses are compositions, reported in weight percent, and pose the challenges of statistical analyses of compositional data. The treatment of parts using proper compositional methods may be even more important in mapping them, as most mapping methods carry uncertainty due to partial sampling as well.</p><p id=\"sp0115\">In this work, we map the ultimate analyses parts of the Springfield coal from an Indiana section of the Illinois basin, USA, using sequential Gaussian simulation of isometric log-ratio transformed compositions. We compare the results with those of direct simulations of compositional parts. We also compare the implications of these approaches in calculating other properties using correlations to identify the differences and consequences. Although the study here is for coal, the methods described in the paper are applicable to any situation involving compositional data and its mapping.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2017.11.022","usgsCitation":"Karacan, C.O., and Olea, R.A., 2018, Mapping of compositional properties of coal using isometric log-ratio transformation and sequential Gaussian simulation – A comparative study for spatial ultimate analyses data: Journal of Geochemical Exploration, v. 186, p. 36-49, https://doi.org/10.1016/j.gexplo.2017.11.022.","productDescription":"14 p.","startPage":"36","endPage":"49","ipdsId":"IP-085076","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469151,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5743214","text":"External 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Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olea, Ricardo A. 0000-0003-4308-0808 rolea@usgs.gov","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":208109,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo","email":"rolea@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784290,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194696,"text":"70194696 - 2018 - Occurrence of dichloroacetamide herbicide safeners and co-applied herbicides in midwestern U.S. streams","interactions":[],"lastModifiedDate":"2018-03-27T11:15:36","indexId":"70194696","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of dichloroacetamide herbicide safeners and co-applied herbicides in midwestern U.S. streams","docAbstract":"<p><span>Dichloroacetamide safeners (e.g., AD-67, benoxacor, dichlormid, and furilazole) are co-applied with chloroacetanilide herbicides to protect crops from herbicide toxicity. While such safeners have been used since the early 1970s, there are minimal data about safener usage, occurrence in streams, or potential ecological effects. This study focused on one of these research gaps, occurrence in streams. Seven Midwestern U.S. streams (five in Iowa and two in Illinois), with extensive row-crop agriculture, were sampled at varying frequencies from spring 2016 through summer 2017. All four safeners were detected at least once; furilazole was the most frequently detected (31%), followed by benoxacor (29%), dichlormid (15%), and AD-67 (2%). The maximum concentrations ranged from 42 to 190 ng/L. Stream detections and concentrations of safeners appear to be driven by a combination of timing of application (spring following herbicide application) and precipitation events. Detected concentrations were below known toxicity levels for aquatic organisms.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.estlett.7b00505","usgsCitation":"Woodward, E., Hladik, M., and Kolpin, D.W., 2018, Occurrence of dichloroacetamide herbicide safeners and co-applied herbicides in midwestern U.S. streams: Environmental Science & Technology Letters, v. 5, no. 1, p. 3-8, https://doi.org/10.1021/acs.estlett.7b00505.","productDescription":"6 p.","startPage":"3","endPage":"8","ipdsId":"IP-090680","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":438067,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CZ363N","text":"USGS data release","linkHelpText":"Herbicide safeners and associated stream flow for water samples collected across Iowa and Illinois (2016-2017)."},{"id":349957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.3837890625,\n              40.027614437486655\n            ],\n            [\n              -87.506103515625,\n              40.027614437486655\n            ],\n            [\n              -87.506103515625,\n              43.50872101129684\n            ],\n            [\n              -93.3837890625,\n              43.50872101129684\n            ],\n            [\n              -93.3837890625,\n              40.027614437486655\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-05","publicationStatus":"PW","scienceBaseUri":"5a60faf6e4b06e28e9c22a1c","contributors":{"authors":[{"text":"Woodward, Emily E. 0000-0001-9196-1349 ewoodward@usgs.gov","orcid":"https://orcid.org/0000-0001-9196-1349","contributorId":177364,"corporation":false,"usgs":true,"family":"Woodward","given":"Emily","email":"ewoodward@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":201293,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724913,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194490,"text":"70194490 - 2018 - The geomorphic legacy of water and erosion control structures in a semiarid rangeland watershed","interactions":[],"lastModifiedDate":"2018-03-26T14:28:05","indexId":"70194490","displayToPublicDate":"2017-11-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"The geomorphic legacy of water and erosion control structures in a semiarid rangeland watershed","docAbstract":"<p><span>Control over water supply and distribution is critical for agriculture in drylands where manipulating surface runoff often serves the dual purpose of erosion control. However, little is known of the geomorphic impacts and legacy effects of rangeland water manipulation infrastructure, especially if not maintained. This study investigated the geomorphic impacts of structures such as earthen berms, water control gates, and stock tanks, in a semiarid rangeland in the southwestern USA that is responding to both regional channel incision that was initiated over a century ago, and a more recent land use change that involved cattle removal and abandonment of structures. The functional condition of remnant structures was inventoried, mapped, and assessed using aerial imagery and lidar data. Headcut initiation, scour, and channel incision associated with compromised lateral channel berms, concrete water control structures, floodplain water spreader berms, and stock tanks were identified as threats to floodplains and associated habitat. Almost half of 27 identified lateral channel berms (48%) have been breached and 15% have experienced lateral scour; 18% of 218 shorter water spreader berms have been breached and 17% have experienced lateral scour. A relatively small number of 117 stock tanks (6%) are identified as structurally compromised based on analysis of aerial imagery, although many currently do not provide consistent water supplies. In some cases, the onset of localized disturbance is recent enough that opportunities for mitigation can be identified to alter the potentially damaging erosion trajectories that are ultimately driven by regional geomorphic instability. Understanding the effects of prior land use and remnant structures on channel and floodplain morphologic condition is critical because both current land management and future land use options are constrained by inherited land use legacy effects.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.4287","usgsCitation":"Nichols, M.H., Magirl, C.S., Sayre, N., and Shaw, J.R., 2018, The geomorphic legacy of water and erosion control structures in a semiarid rangeland watershed: Earth Surface Processes and Landforms, v. 43, no. 4, p. 909-918, https://doi.org/10.1002/esp.4287.","productDescription":"10 p.","startPage":"909","endPage":"918","ipdsId":"IP-088934","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":349587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Buenos Aires National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.57440185546875,\n              31.43159261047983\n            ],\n            [\n              -111.34506225585938,\n              31.43159261047983\n            ],\n            [\n              -111.34506225585938,\n              31.81572994283835\n            ],\n            [\n              -111.57440185546875,\n              31.81572994283835\n            ],\n            [\n              -111.57440185546875,\n              31.43159261047983\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-18","publicationStatus":"PW","scienceBaseUri":"5a60fafbe4b06e28e9c22a7b","contributors":{"authors":[{"text":"Nichols, Mary H.","contributorId":201006,"corporation":false,"usgs":false,"family":"Nichols","given":"Mary","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":724085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sayre, N.F.","contributorId":201007,"corporation":false,"usgs":false,"family":"Sayre","given":"N.F.","email":"","affiliations":[],"preferred":false,"id":724086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaw, Jeremy R.","contributorId":201008,"corporation":false,"usgs":false,"family":"Shaw","given":"Jeremy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724087,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194110,"text":"70194110 - 2018 - Anticoagulant rodenticides and wildlife: Concluding remarks","interactions":[],"lastModifiedDate":"2017-11-30T09:52:17","indexId":"70194110","displayToPublicDate":"2017-11-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Anticoagulant rodenticides and wildlife: Concluding remarks","docAbstract":"Rodents are known to affect human society globally in various adverse ways, resulting in a widespread demand for their continuous control. Anticoagulant rodenticides (ARs) have been, and currently remain, the cornerstone of rodent control throughout the world. Although alternative control methods exist, they are generally less effective. ARs work by affecting vitamin K metabolism, thereby preventing the activation of blood clotting factors and eventual coagulopathy. Since ARs are non-selective, their undoubted benefits for rodent control have to be balanced against the environmental risks that these compounds pose. Although they have been used for decades, pharmacokinetic and toxicokinetic data are mainly available for laboratory mammals and have concentrated on acute effects. Limited information is available on chronic exposure scenarios and for wildlife species. Important gaps exist in our understanding of the large inter- and intra-species differences in sensitivity to ARs, especially for non-target species, and in our knowledge about the occurrence and importance of sub-lethal effects in wildlife. It is clear that mere presence of AR residues in the body tissues may not indicate the occurrence of effects, although unequivocal assessment of effects under field conditions is difficult. Ante-mortem symptoms, like lethargy, subdued behaviour and unresponsiveness are generally not very specific as is true for more generic post-mortem observations (e.g. pallor of the mucous membranes or occurrence of haemorrhages). It is only by combining ante or post-mortem data with information on exposure that effects in the field may be confirmed. We do know however that a wide variety of non-target species are directly exposed to ARs. Secondary exposure in predators is also widespread although there is limited information on whether this exposure causes actual effects. Exposure is driven by ecological factors and is context specific with respect to spatial habitat configuration and bait placement. Another key factor that affects the interaction between ARs and wildlife is the development of resistance in target species. The development of resistance has resulted in higher use of SGARs, thereby increasing the potential of non-target and secondary exposure. AR use has increasingly become more strictly regulated, increasing the need for alternatives. Alternatives are available, including non-anticoagulant rodenticides, but these may also pose significant risk to environmental organisms, humans and pets. There are also various mitigation measures that can be implemented when using ARs, including bait protection, pulsed baiting at the onset of infestation, restricting use by non-professionals, and avoiding use in areas of high non-target density. Reduction in secondary exposure may result from e.g. non-chemical control, habitat management, and, in agricultural habitats, the use of lure crops and supplemental feeding. Such Integrated Pest Management (IPM) may not only reduce non-target exposure but also benefit resistance management. Barriers to adopt IPM approaches however, include the perception that they do not work or too slowly and are more laborious, expensive and time consuming. It is therefore important that the expectations of stakeholders are considered and managed. Nevertheless, further development of alternatives and IPM measures is essential, so the key research priority related to rodent control may ultimately be to address the lack of scientific assessment of the effectiveness of both specific AR mitigation measures and of IPM approaches to rodent control.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Anticoagulant rodenticides and wildlife","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-64377-9_14","usgsCitation":"van den Brink, N.W., Elliott, J., Shore, R., and Rattner, B.A., 2018, Anticoagulant rodenticides and wildlife: Concluding remarks, chap. <i>of</i> Anticoagulant rodenticides and wildlife, v. 5, p. 379-386, https://doi.org/10.1007/978-3-319-64377-9_14.","productDescription":"8 p.","startPage":"379","endPage":"386","ipdsId":"IP-086091","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":500002,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/anticoagulant-rodenticides-and-wildlife-concluding-remarks","text":"External Repository"},{"id":349540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-11","publicationStatus":"PW","scienceBaseUri":"5a60fad6e4b06e28e9c22787","contributors":{"authors":[{"text":"van den Brink, Nico W.","contributorId":39229,"corporation":false,"usgs":true,"family":"van den Brink","given":"Nico","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":724046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, John E.","contributorId":169675,"corporation":false,"usgs":false,"family":"Elliott","given":"John E.","affiliations":[],"preferred":false,"id":724047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shore, Richard F.","contributorId":111984,"corporation":false,"usgs":true,"family":"Shore","given":"Richard F.","affiliations":[],"preferred":false,"id":724048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":722109,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}