{"pageNumber":"1435","pageRowStart":"35850","pageSize":"25","recordCount":184723,"records":[{"id":70200540,"text":"70200540 - 2014 - Historical records, sources, and spatial trends of PCBs along the Rhône River (France).","interactions":[],"lastModifiedDate":"2018-10-23T13:16:54","indexId":"70200540","displayToPublicDate":"2013-10-10T12:57:58","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Historical records, sources, and spatial trends of PCBs along the Rhône River (France).","title":"Historical records, sources, and spatial trends of PCBs along the Rhône River (France).","docAbstract":"<p><span>Despite bans on PCB use since 1975 (open systems) and 1987 (closed systems), concentrations of PCBs in riverine fish in France continue to exceed regulatory levels. We present historical records of PCB concentrations in sediment cores from eight sites on the Rhône River, from Lake Geneva to the Mediterranean Sea. Maximum PCB concentrations (sum of seven indicator PCBs) increase downstream, from 11.50 μg/kg at the most upstream site to 417.1 μg/kg at the most downstream site. At some sites peak concentrations occur in sediment deposited as recently as the 2000s. Hierarchical clustering (five clusters) identified differences in PCB congener profiles within and between sites. Exponential models fit to decadal time windows indicate that rapid reductions in concentrations during about 1990-2000 have slowed, and that it might be decades before target concentrations in sediment that correspond to regulatory thresholds in fish will be reached at some sites.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.01.026","usgsCitation":"Mourier, B., Desmet, M., Van Metre, P.C., Mahler, B., Perrodin, Y., Roux, G., Bedell, J., Lefebvre, L.W., and Babut, M., 2014, Historical records, sources, and spatial trends of PCBs along the Rhône River (France).: Chemosphere, v. 476-477, p. 568-576, https://doi.org/10.1016/j.scitotenv.2014.01.026.","productDescription":"9 p.","startPage":"568","endPage":"576","ipdsId":"IP-052735","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research 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Marc","contributorId":86210,"corporation":false,"usgs":true,"family":"Babut","given":"Marc","email":"","affiliations":[],"preferred":false,"id":749431,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70056316,"text":"70056316 - 2014 - Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain","interactions":[],"lastModifiedDate":"2014-02-03T11:16:52","indexId":"70056316","displayToPublicDate":"2013-10-01T12:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain","docAbstract":"Surface water flow controls water velocities, water depths, and residence times, and influences sediment and nutrient transport and other ecological processes in shallow aquatic systems. Flow through wetlands is substantially influenced by drag on vegetation stems but is also affected by microtopography. Our goal was to use microtopography data directly in a widely used wetland model while retaining the advantages of the model’s one-dimensional structure. The base simulation with no explicit treatment of microtopography only performed well for a period of high water when vegetation dominated flow resistance. Extended simulations using microtopography can improve the fit to low-water conditions substantially. The best fit simulation had a flow conductance parameter that decreased in value by 70 % during dry season such that mcrotopographic features blocked 40 % of the cross sectional width for flow. Modeled surface water became ponded and flow ceased when 85 % of the cross sectional width became blocked by microtopographic features. We conclude that vegetation drag dominates wetland flow resistance at higher water levels and microtopography dominates at low water levels with the threshold delineated by the top of microtopographic features. Our results support the practicality of predicting flow on floodplains using relatively easily measured physical and biological variables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0489-7","usgsCitation":"Choi, J., and Harvey, J.W., 2014, Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain: Wetlands, v. 34, no. 1, p. 101-115, https://doi.org/10.1007/s13157-013-0489-7.","productDescription":"15 p.","startPage":"101","endPage":"115","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-051999","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":279178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279165,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0489-7"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.75,25.5 ], [ -80.75,26.5 ], [ -80.25,26.5 ], [ -80.25,25.5 ], [ -80.75,25.5 ] ] ] } } ] }","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-25","publicationStatus":"PW","scienceBaseUri":"528c96b9e4b0c629af44ddfb","contributors":{"authors":[{"text":"Choi, Jungyill","contributorId":70792,"corporation":false,"usgs":true,"family":"Choi","given":"Jungyill","email":"","affiliations":[],"preferred":false,"id":486522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486521,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70073700,"text":"70073700 - 2014 - SemantEco: a semantically powered modular architecture for integrating distributed environmental and ecological data","interactions":[],"lastModifiedDate":"2018-08-10T16:53:02","indexId":"70073700","displayToPublicDate":"2013-09-27T16:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1714,"text":"Future Generation Computer Systems","active":true,"publicationSubtype":{"id":10}},"title":"SemantEco: a semantically powered modular architecture for integrating distributed environmental and ecological data","docAbstract":"We aim to inform the development of decision support tools for resource managers who need to examine large complex ecosystems and make recommendations in the face of many tradeoffs and conflicting drivers. We take a semantic technology approach, leveraging background ontologies and the growing body of linked open data. In previous work, we designed and implemented a semantically enabled environmental monitoring framework called SemantEco and used it to build a water quality portal named SemantAqua. Our previous system included foundational ontologies to support environmental regulation violations and relevant human health effects. In this work, we discuss SemantEco’s new architecture that supports modular extensions and makes it easier to support additional domains. Our enhanced framework includes foundational ontologies to support modeling of wildlife observation and wildlife health impacts, thereby enabling deeper and broader support for more holistically examining the effects of environmental pollution on ecosystems. We conclude with a discussion of how, through the application of semantic technologies, modular designs will make it easier for resource managers to bring in new sources of data to support more complex use cases.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Future Generation Computer Systems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.future.2013.09.017","usgsCitation":"Patton, E.W., Seyed, P., Wang, P., Fu, L., Dein, F.J., Bristol, R., and McGuinness, D.L., 2014, SemantEco: a semantically powered modular architecture for integrating distributed environmental and ecological data: Future Generation Computer Systems, v. 36, p. 430-440, https://doi.org/10.1016/j.future.2013.09.017.","productDescription":"11 p.","startPage":"430","endPage":"440","numberOfPages":"11","ipdsId":"IP-050938","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":281355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281354,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.future.2013.09.017"}],"volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537717d7e4b02eab8669ef0e","contributors":{"authors":[{"text":"Patton, Evan W.","contributorId":51649,"corporation":false,"usgs":true,"family":"Patton","given":"Evan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":489053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seyed, Patrice","contributorId":7618,"corporation":false,"usgs":true,"family":"Seyed","given":"Patrice","email":"","affiliations":[],"preferred":false,"id":489052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Ping","contributorId":78646,"corporation":false,"usgs":false,"family":"Wang","given":"Ping","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":489055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fu, Linyun","contributorId":62928,"corporation":false,"usgs":true,"family":"Fu","given":"Linyun","email":"","affiliations":[],"preferred":false,"id":489054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dein, F. Joshua fjdein@usgs.gov","contributorId":2772,"corporation":false,"usgs":true,"family":"Dein","given":"F.","email":"fjdein@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":489051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bristol, R. Sky 0000-0003-1682-4031","orcid":"https://orcid.org/0000-0003-1682-4031","contributorId":88196,"corporation":false,"usgs":true,"family":"Bristol","given":"R. Sky","affiliations":[],"preferred":false,"id":489056,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGuinness, Deborah L.","contributorId":98216,"corporation":false,"usgs":true,"family":"McGuinness","given":"Deborah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":489057,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048477,"text":"70048477 - 2014 - Discontinuities, cross-scale patterns, and the organization of ecosystems","interactions":[],"lastModifiedDate":"2017-02-13T14:46:48","indexId":"70048477","displayToPublicDate":"2013-09-27T13:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Discontinuities, cross-scale patterns, and the organization of ecosystems","docAbstract":"Ecological structures and processes occur at specific spatiotemporal scales, and interactions that occur across multiple scales mediate scale-specific (e.g., individual, community, local, or regional) responses to disturbance. Despite the importance of scale, explicitly incorporating a multi-scale perspective into research and management actions remains a challenge. The discontinuity hypothesis provides a fertile avenue for addressing this problem by linking measureable proxies to inherent scales of structure within ecosystems. Here we outline the conceptual framework underlying discontinuities and review the evidence supporting the discontinuity hypothesis in ecological systems. Next we explore the utility of this approach for understanding cross-scale patterns and the organization of ecosystems by describing recent advances for examining nonlinear responses to disturbance and phenomena such as extinctions, invasions, and resilience. To stimulate new research, we present methods for performing discontinuity analysis, detail outstanding knowledge gaps, and discuss potential approaches for addressing these gaps.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1315.1","usgsCitation":"Nash, K.L., Allen, C.R., Angeler, D., Barichievy, C., Eason, T., Garmestani, A.S., Graham, N.A., Granholm, D., Knutson, M., Nelson, R.J., Nystrom, M., Stow, C., and Sandstrom, S.M., 2014, Discontinuities, cross-scale patterns, and the organization of ecosystems: Ecology, v. 95, no. 3, p. 654-667, https://doi.org/10.1890/13-1315.1.","productDescription":"14 p.","startPage":"654","endPage":"667","numberOfPages":"14","ipdsId":"IP-044992","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473340,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1890/13-1315.1","text":"External Repository"},{"id":286293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286292,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-1315.1"}],"volume":"95","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53559007e4b0120853e8bed4","contributors":{"authors":[{"text":"Nash, Kirsty L.","contributorId":40897,"corporation":false,"usgs":true,"family":"Nash","given":"Kirsty","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":484774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":484776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barichievy, Chris","contributorId":17119,"corporation":false,"usgs":true,"family":"Barichievy","given":"Chris","email":"","affiliations":[],"preferred":false,"id":484775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eason, Tarsha","contributorId":82220,"corporation":false,"usgs":true,"family":"Eason","given":"Tarsha","email":"","affiliations":[],"preferred":false,"id":484782,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484781,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graham, Nicholas A.J.","contributorId":101990,"corporation":false,"usgs":true,"family":"Graham","given":"Nicholas","email":"","middleInitial":"A.J.","affiliations":[],"preferred":false,"id":484785,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Granholm, Dean","contributorId":85087,"corporation":false,"usgs":true,"family":"Granholm","given":"Dean","email":"","affiliations":[],"preferred":false,"id":484783,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Knutson, Melinda","contributorId":27929,"corporation":false,"usgs":true,"family":"Knutson","given":"Melinda","affiliations":[],"preferred":false,"id":484777,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nelson, R. John","contributorId":98215,"corporation":false,"usgs":true,"family":"Nelson","given":"R.","email":"","middleInitial":"John","affiliations":[],"preferred":false,"id":484784,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nystrom, Magnus","contributorId":36460,"corporation":false,"usgs":true,"family":"Nystrom","given":"Magnus","email":"","affiliations":[],"preferred":false,"id":484778,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stow, Craig A.","contributorId":49733,"corporation":false,"usgs":true,"family":"Stow","given":"Craig A.","affiliations":[],"preferred":false,"id":484780,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sandstrom, Shana M.","contributorId":102792,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Shana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484786,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70048425,"text":"70048425 - 2014 - Large wood budget and transport dynamics on a large river using radio telemetry","interactions":[],"lastModifiedDate":"2014-03-28T09:31:58","indexId":"70048425","displayToPublicDate":"2013-09-26T08:15:00","publicationYear":"2014","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":"Large wood budget and transport dynamics on a large river using radio telemetry","docAbstract":"Despite the abundance of large wood (LW) river studies there is still a lack of understanding of LW transport dynamics on large low gradient rivers. This study used 290 radio frequency identification tagged (RFID) LW and 54 metal (aluminum) tagged LW, to quantify the percent of in-channel LW that moves per year and what variables play a role in LW transport dynamics. Aluminum tags were installed and monitored on LW in-transit during the rising limb of a flood, the mean distance traveled by those pieces during the week was 13.3 river kilometers (km) with a maximum distance of 72 km. RFID tagged LW moved a mean of 11.9 km/yr with a maximum observed at 101.1 km/yr. Approximately 41% of LW low on the bank moves per year. The high rate of transport and distance traveled is likely due to the lack of interaction between LW floating in the channel and the channel boundaries, caused primarily by the width of the channel relative to length of the LW. Approximately 80% of the RFID tags moved past a fixed reader during the highest 20% of river stage per year. LW transport and logjam dynamics are complicated at high flows as pieces form temporary jams that continually expand and contract. Unlike most other studies, key members that create a logjam were defined more by stability than jam size or channel/hydrologic conditions. Finally, using an existing geomorphic database for the river, and data from this study, we were able to develop a comprehensive LW budget showing that 5% of the in-channel LW population turns over each year (input from mass wasting and fluvial erosion equals burial, decomposition, and export out of system) and another 16% of the population moving within the system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Surface Processes and Landforms","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/esp.3463","usgsCitation":"Schenk, E.R., Moulin, B., Hupp, C.R., and Richte, J.M., 2014, Large wood budget and transport dynamics on a large river using radio telemetry: Earth Surface Processes and Landforms, v. 39, no. 4, p. 487-498, https://doi.org/10.1002/esp.3463.","productDescription":"12 p.","startPage":"487","endPage":"498","numberOfPages":"12","ipdsId":"IP-049201","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":278174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278172,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.3463"}],"country":"United States","state":"North Carolina;Virginia","otherGeospatial":"Lower Roanoke River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.6722,35.96 ], [ -77.6722,36.6291 ], [ -76.6828,36.6291 ], [ -76.6828,35.96 ], [ -77.6722,35.96 ] ] ] } } ] }","volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-08-31","publicationStatus":"PW","scienceBaseUri":"5246e919e4b035b7f35addd6","contributors":{"authors":[{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":484618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moulin, Bertrand","contributorId":80160,"corporation":false,"usgs":true,"family":"Moulin","given":"Bertrand","email":"","affiliations":[],"preferred":false,"id":484621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":484619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richte, Jean M.","contributorId":25856,"corporation":false,"usgs":true,"family":"Richte","given":"Jean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048145,"text":"70048145 - 2014 - Climate change, fire management, and ecological services in the southwestern US","interactions":[],"lastModifiedDate":"2016-12-14T11:35:46","indexId":"70048145","displayToPublicDate":"2013-09-07T09:24:25","publicationYear":"2014","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":"Climate change, fire management, and ecological services in the southwestern US","docAbstract":"The diverse forest types of the southwestern US are inseparable from fire. Across climate zones in California, Nevada, Arizona, and New Mexico, fire suppression has left many forest types out of sync with their historic fire regimes. As a result, high fuel loads place them at risk of severe fire, particularly as fire activity increases due to climate change. A legacy of fire exclusion coupled with a warming climate has led to increasingly large and severe wildfires in many southwest forest types. Climate change projections include an extended fire season length due to earlier snowmelt and a general drying trend due to rising temperatures. This suggests the future will be warmer and drier regardless of changes in precipitation. Hotter, drier conditions are likely to increase forest flammability, at least initially. Changes in climate alone have the potential to alter the distribution of vegetation types within the region, and climate-driven shifts in vegetation distribution are likely to be accelerated when coupled with stand-replacing fire. Regardless of the rate of change, the interaction of climate and fire and their effects on Southwest ecosystems will alter the provisioning of ecosystem services, including carbon storage and biodiversity. Interactions between climate, fire, and vegetation growth provide a source of great uncertainty in projecting future fire activity in the region, as post-fire forest recovery is strongly influenced by climate and subsequent fire frequency. Severe fire can be mitigated with fuels management including prescribed fire, thinning, and wildfire management, but new strategies are needed to ensure the effectiveness of treatments across landscapes. We review the current understanding of the relationship between fire and climate in the Southwest, both historical and projected. We then discuss the potential implications of climate change for fire management and examine the potential effects of climate change and fire on ecosystem services. We conclude with an assessment of the role of fire management in an increasingly flammable Southwest.","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2013.08.007","usgsCitation":"Hurteau, M.D., Bradford, J.B., Fule, P.Z., Taylor, A.H., and Martin, K.L., 2014, Climate change, fire management, and ecological services in the southwestern US: Forest Ecology and Management, v. 327, p. 280-289, https://doi.org/10.1016/j.foreco.2013.08.007.","productDescription":"10 p.","startPage":"280","endPage":"289","ipdsId":"IP-044933","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":281479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277511,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2013.08.007"}],"country":"United States","state":"Arizona;California;New Mexico;Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,31.79 ], [ -124.41,42.01 ], [ -102.97,42.01 ], [ -102.97,31.79 ], [ -124.41,31.79 ] ] ] } } ] }","volume":"327","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5143e4b0b290850f3d33","contributors":{"authors":[{"text":"Hurteau, Matthew D.","contributorId":100660,"corporation":false,"usgs":true,"family":"Hurteau","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":483851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":483847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fule, Peter Z.","contributorId":15928,"corporation":false,"usgs":true,"family":"Fule","given":"Peter","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":483848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Alan H.","contributorId":67407,"corporation":false,"usgs":true,"family":"Taylor","given":"Alan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":483850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Katherine L.","contributorId":31672,"corporation":false,"usgs":true,"family":"Martin","given":"Katherine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":483849,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046501,"text":"70046501 - 2014 - Commercial possibilities for stranded conventional gas from Alaska's North Slope","interactions":[],"lastModifiedDate":"2014-02-24T10:46:05","indexId":"70046501","displayToPublicDate":"2013-09-06T13:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Commercial possibilities for stranded conventional gas from Alaska's North Slope","docAbstract":"Stranded gas resources are defined for this study as gas resources in discrete accumulations that are not currently commercially producible, or producible at full potential, for either physical or economic reasons. Approximately 35 trillion cubic feet (TCF) of stranded gas was identified on Alaska’s North Slope. The commercialization of this resource requires facilities to transport gas to markets where sales revenue will be sufficient to offset the cost of constructing and operating a gas delivery system. With the advent of the shale gas revolution, plans for a gas pipeline to the conterminous US have been shelved (at least temporarily) and the State and resource owners are considering a liquefied natural gas (LNG) export project that targets Asian markets. This paper focuses on competitive conditions for Asian gas import markets by estimating delivered costs of competing supplies from central Asia, Russia, Indonesia, Malaysia, and Australia in the context of a range of import gas demand projections for the period from 2020 to 2040. These suppliers’ costs are based on the cost of developing, producing, and delivering to markets tranches of the nearly 600 TCF of recoverable gas from their own conventional stranded gas fields. The results of these analyses imply that Alaska’s gas exports to Asia will likely encounter substantial competitive challenges. The sustainability of Asia’s oil-indexed LNG pricing is also discussed in light of a potentially intense level of competition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9213-9","usgsCitation":"Attanasi, E., and Freeman, P., 2014, Commercial possibilities for stranded conventional gas from Alaska's North Slope: Natural Resources Research, v. 23, no. 1, p. 175-193, https://doi.org/10.1007/s11053-013-9213-9.","productDescription":"19 p.","startPage":"175","endPage":"193","numberOfPages":"19","ipdsId":"IP-042212","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":277393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277389,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-013-9213-9"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.85,68.0 ], [ -166.85,71.39 ], [ -141.0,71.39 ], [ -141.0,68.0 ], [ -166.85,68.0 ] ] ] } } ] }","volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-07-10","publicationStatus":"PW","scienceBaseUri":"522aeb66e4b08fd0132e7925","contributors":{"authors":[{"text":"Attanasi, Emil 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":1809,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, P.A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":3154,"corporation":false,"usgs":true,"family":"Freeman","given":"P.A.","email":"pfreeman@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":479722,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047928,"text":"70047928 - 2014 - Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams","interactions":[],"lastModifiedDate":"2018-09-18T16:28:36","indexId":"70047928","displayToPublicDate":"2013-08-30T15:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams","docAbstract":"Fluids co-produced with oil and gas production (produced waters) are often brines that contain elevated concentrations of bromide. Bromide is an important precursor of several toxic disinfection by-products (DBPs) and the treatment of produced water may lead to more brominated DBPs. To determine if wastewater treatment plants that accept produced waters discharge greater amounts of brominated DBPs, water samples were collected in Pennsylvania from four sites along a large river including an upstream site, a site below a publicly owned wastewater treatment plant (POTW) outfall (does not accept produced water), a site below an oil and gas commercial wastewater treatment plant (CWT) outfall, and downstream of the POTW and CWT. Of 29 DBPs analyzed, the site at the POTW outfall had the highest number detected (six) ranging in concentration from 0.01 to 0.09 μg L<sup>− 1</sup> with a similar mixture of DBPs that have been detected at POTW outfalls elsewhere in the United States. The DBP profile at the CWT outfall was much different, although only two DBPs, dibromochloronitromethane (DBCNM) and chloroform, were detected, DBCNM was found at relatively high concentrations (up to 8.5 μg L<sup>− 1</sup>). The water at the CWT outfall also had a mixture of inorganic and organic precursors including elevated concentrations of bromide (75 mg L<sup>− 1</sup>) and other organic DBP precursors (phenol at 15 μg L<sup>− 1</sup>). To corroborate these DBP results, samples were collected in Pennsylvania from additional POTW and CWT outfalls that accept produced waters. The additional CWT also had high concentrations of DBCNM (3.1 μg L<sup>− 1</sup>) while the POTWs that accept produced waters had elevated numbers (up to 15) and concentrations of DBPs, especially brominated and iodinated THMs (up to 12 μg L<sup>− 1</sup> total THM concentration). Therefore, produced water brines that have been disinfected are potential sources of DBPs along with DBP precursors to streams wherever these wastewaters are discharged.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.08.008","usgsCitation":"Hladik, M., Focazio, M.J., and Engle, M., 2014, Discharges of produced waters from oil and gas extraction via wastewater treatment plants are sources of disinfection by-products to receiving streams: Science of the Total Environment, v. 466-467, p. 1085-1093, https://doi.org/10.1016/j.scitotenv.2013.08.008.","productDescription":"9 p.","startPage":"1085","endPage":"1093","ipdsId":"IP-045051","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":277192,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.08.008"},{"id":277215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"466-467","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5221b0d2e4b001cbb8a34e8f","contributors":{"authors":[{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":483315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":483316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engle, Mark 0000-0001-5258-7374","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":9364,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","affiliations":[],"preferred":false,"id":483317,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70133842,"text":"70133842 - 2014 - Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology","interactions":[],"lastModifiedDate":"2015-01-13T09:30:00","indexId":"70133842","displayToPublicDate":"2013-08-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3826,"text":"Urban Water Journal","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology","docAbstract":"<p>A new sample collection system was developed to improve the representation of sediment in stormwater by integrating the entire water column. The depth-integrated sampler arm (DISA) was able to mitigate sediment stratification bias in storm water, thereby improving the characterization of particle size distribution from urban source areas. Collector streets had the lowest median particle diameter of 8&nbsp;&mu;m, followed by parking lots, arterial streets, feeder streets, and residential and mixed land use (32, 43, 50, 80 and 95&nbsp;&mu;m, respectively). Results from this study suggest there is no single distribution of particles that can be applied uniformly to runoff in urban environments; however, integrating more of the entire water column during the sample collection can address some of the shortcomings of a fixed-point sampler by reducing variability and bias caused by the stratification of solids in a water column.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1573062X.2013.820334","usgsCitation":"Selbig, W.R., 2014, Characterizing the distribution of particles in urban stormwater: advancements through improved sampling technology: Urban Water Journal, v. 12, no. 2, p. 111-119, https://doi.org/10.1080/1573062X.2013.820334.","productDescription":"9 p.","startPage":"111","endPage":"119","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045735","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":296447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"548193b9e4b0aa6d778520e4","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525470,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70112697,"text":"tm5.2.2.B - 2014 - Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS","interactions":[],"lastModifiedDate":"2021-05-27T14:01:14.644066","indexId":"tm5.2.2.B","displayToPublicDate":"2013-08-18T09:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"5.2.2.B","title":"Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS","docAbstract":"This section of chapter 5 of the <i>National Field Manual for the Collection of Water-Quality Data (NFM)</i> describes the field procedures for collecting small-volume samples using a syringe-tip filtration method. The samples are sent to the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) for analysis of organic compounds by direct aqueous injection high-performance liquid chromatography/tandem mass spectrometry (DAI LC-MS/MS).\n\nThe DAI LC-MS/MS method was developed specifically for NWQL analytical schedules 2437 (pesticides) and 2440 (pharmaceuticals) and should not be considered transferrable or applicable to other types of samples to be analyzed using methods other than those that use DAI LC-MS/MS or other tandem mass\nspectrometry methods.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm5.2.2.B","usgsCitation":"Sandstrom, M.W., and Wilde, F.D., 2014, Chapter A5. Section 2.2B. Syringe-Filter Procedure for Processing Samples for Analysis of Organic Compounds by DAI LC-MS/MS (Version 3.1): U.S. Geological Survey Techniques and Methods 5.2.2.B, 10 p., https://doi.org/10.3133/tm5.2.2.B.","productDescription":"10 p.","onlineOnly":"Y","ipdsId":"IP-057027","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"links":[{"id":292359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":292345,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/owq/FieldManual/chapter5/pdf/5.2.2.B.pdf"}],"edition":"Version 3.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f25fdae4b03334187188fc","contributors":{"authors":[{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":494841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":92240,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska","email":"fwilde@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":494842,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047589,"text":"70047589 - 2014 - Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","interactions":[],"lastModifiedDate":"2013-08-26T11:43:19","indexId":"70047589","displayToPublicDate":"2013-08-13T13:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","docAbstract":"Application of numerical models is a common practice in the environmental field for investigation and prediction of natural and anthropogenic processes. However, process knowledge, parameter identifiability, sensitivity, and uncertainty analyses are still a challenge for large and complex mathematical models such as the hydrological/water quality model, Soil and Water Assessment Tool (SWAT). In this study, the previously developed R program language-SWAT-Flexible Modeling Environment (R-SWAT-FME) was improved to support multiple model variables and objectives at multiple time steps (i.e., daily, monthly, and annually). This expansion is significant because there is usually more than one variable (e.g., water, nutrients, and pesticides) of interest for environmental models like SWAT. To further facilitate its easy use, we also simplified its application requirements without compromising its merits, such as the user-friendly interface. To evaluate the performance of the improved framework, we used a case study focusing on both streamflow and nitrate nitrogen in the Upper Iowa River Basin (above Marengo) in the United States. Results indicated that the R-SWAT-FME performs well and is comparable to the built-in auto-calibration tool in multi-objective model calibration. Overall, the enhanced R-SWAT-FME can be useful for the SWAT community, and the methods we used can also be valuable for wrapping potential R packages with other environmental models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.07.048","usgsCitation":"Wu, Y., and Liu, S., 2014, Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions: Science of the Total Environment, v. 466-467, p. 455-466, https://doi.org/10.1016/j.scitotenv.2013.07.048.","productDescription":"12 p.","startPage":"455","endPage":"466","ipdsId":"IP-044026","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":276578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276577,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.07.048"}],"volume":"466-467","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81eee4b0d6ca46067dac","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":482475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482474,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047499,"text":"70047499 - 2014 - An application of Social Values for Ecosystem Services (SolVES) to three national forests in Colorado and Wyoming","interactions":[],"lastModifiedDate":"2013-08-08T09:45:17","indexId":"70047499","displayToPublicDate":"2013-08-08T09:40:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"An application of Social Values for Ecosystem Services (SolVES) to three national forests in Colorado and Wyoming","docAbstract":"Despite widespread recognition that social-value information is needed to inform stakeholders and decision makers regarding trade-offs in environmental management, it too often remains absent from ecosystem service assessments. Although quantitative indicators of social values need to be explicitly accounted for in the decision-making process, they need not be monetary. Ongoing efforts to map such values demonstrate how they can also be made spatially explicit and relatable to underlying ecological information. We originally developed Social Values for Ecosystem Services (SolVES) as a tool to assess, map, and quantify nonmarket values perceived by various groups of ecosystem stakeholders. With SolVES 2.0 we have extended the functionality by integrating SolVES with Maxent maximum entropy modeling software to generate more complete social-value maps from available value and preference survey data and to produce more robust models describing the relationship between social values and ecosystems. The current study has two objectives: (1) evaluate how effectively the value index, a quantitative, nonmonetary social-value indicator calculated by SolVES, reproduces results from more common statistical methods of social-survey data analysis and (2) examine how the spatial results produced by SolVES provide additional information that could be used by managers and stakeholders to better understand more complex relationships among stakeholder values, attitudes, and preferences. To achieve these objectives, we applied SolVES to value and preference survey data collected for three national forests, the Pike and San Isabel in Colorado and the Bridger–Teton and the Shoshone in Wyoming. Value index results were generally consistent with results found through more common statistical analyses of the survey data such as frequency, discriminant function, and correlation analyses. In addition, spatial analysis of the social-value maps produced by SolVES provided information that was useful for explaining relationships between stakeholder values and forest uses. Our results suggest that SolVES can effectively reproduce information derived from traditional statistical analyses while adding spatially explicit, social-value information that can contribute to integrated resource assessment, planning, and management of forests and other ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Indicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2013.07.008","usgsCitation":"Sherrouse, B.C., Semmens, D.J., and Clement, J.M., 2014, An application of Social Values for Ecosystem Services (SolVES) to three national forests in Colorado and Wyoming: Ecological Indicators, v. 36, p. 68-79, https://doi.org/10.1016/j.ecolind.2013.07.008.","productDescription":"12 p.","startPage":"68","endPage":"79","ipdsId":"IP-039048","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":276196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276195,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2013.07.008"}],"country":"United States","state":"Colorado;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0569,36.99 ], [ -111.0569,45.0059 ], [ -102.04,45.0059 ], [ -102.04,36.99 ], [ -111.0569,36.99 ] ] ] } } ] }","volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afcfe4b0403aa626299e","contributors":{"authors":[{"text":"Sherrouse, Benson C.","contributorId":37831,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":482196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":482195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clement, Jessica M.","contributorId":86105,"corporation":false,"usgs":true,"family":"Clement","given":"Jessica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046213,"text":"70046213 - 2014 - Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production","interactions":[],"lastModifiedDate":"2018-09-18T16:23:32","indexId":"70046213","displayToPublicDate":"2013-07-29T15:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production","docAbstract":"The role of live vegetation in sediment methylmercury (MeHg) production and associated biogeochemistry was examined in three types of agricultural wetlands (domesticated or white rice, wild rice, and fallow fields) and adjacent managed natural wetlands (cattail- and bulrush or tule-dominated) in the Yolo Bypass region of California's Central Valley, USA. During the active growing season for each wetland, a vegetated:de-vegetated paired plot experiment demonstrated that the presence of live plants enhanced microbial rates of mercury methylation by 20 to 669% (median = 280%) compared to de-vegetated plots. Labile carbon exudation by roots appeared to be the primary mechanism by which microbial methylation was enhanced in the presence of vegetation. Pore-water acetate (pw[Ac]) decreased significantly with de-vegetation (63 to 99%) among all wetland types, and within cropped fields, pw[Ac] was correlated with both root density (r = 0.92) and microbial Hg(II) methylation (k<sub>meth</sub>. r = 0.65). Sediment biogeochemical responses to de-vegetation were inconsistent between treatments for “reactive Hg” (Hg(II)R), as were reduced sulfur and sulfate reduction rates. Sediment MeHg concentrations in vegetated plots were double those of de-vegetated plots (median = 205%), due in part to enhanced microbial MeHg production in the rhizosphere, and in part to rhizoconcentration via transpiration-driven pore-water transport. Pore-water concentrations of chloride, a conservative tracer, were elevated (median = 22%) in vegetated plots, suggesting that the higher concentrations of other constituents around roots may also be a function of rhizoconcentration rather than microbial activity alone. Elevated pools of amorphous iron (Fe) in vegetated plots indicate that downward redistribution of oxic surface waters through transpiration acts as a stimulant to Fe(III)-reduction through oxidation of Fe(II)pools. These data suggest that vegetation significantly affected rhizosphere biogeochemistry through organic exudation and transpiration-driven concentration of pore-water constituents and oxidation of reduced compounds. While the relative role of vegetation varied among wetland types, macrophyte activity enhanced MeHg production.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.05.028","usgsCitation":"Windham-Myers, L., Marvin-DiPasquale, M., Stricker, C.A., Agee, J.L., Kieu, L.H., and Kakouros, E., 2014, Mercury cycling in agricultural and managed wetlands of California: experimental evidence of vegetation-driven changes in sediment biogeochemistry and methylmercury production: Science of the Total Environment, v. 484, p. 300-307, https://doi.org/10.1016/j.scitotenv.2013.05.028.","productDescription":"8 p.","startPage":"300","endPage":"307","numberOfPages":"8","ipdsId":"IP-045774","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":275522,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.05.028"},{"id":275523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Yolo County","otherGeospatial":"Yolo Bypass Wildlife Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.663971,38.417283 ], [ -121.663971,38.556489 ], [ -121.586037,38.556489 ], [ -121.586037,38.417283 ], [ -121.663971,38.417283 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d6e4b02e26443a9331","contributors":{"authors":[{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":479180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark","contributorId":57423,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","affiliations":[],"preferred":false,"id":479184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":479179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Agee, Jennifer L. 0000-0002-5964-5079 jlagee@usgs.gov","orcid":"https://orcid.org/0000-0002-5964-5079","contributorId":2586,"corporation":false,"usgs":true,"family":"Agee","given":"Jennifer","email":"jlagee@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":479181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kieu, Le H. lkieu@usgs.gov","contributorId":25115,"corporation":false,"usgs":true,"family":"Kieu","given":"Le","email":"lkieu@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":479183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":479182,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118310,"text":"70118310 - 2014 - Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well","interactions":[],"lastModifiedDate":"2018-09-14T16:11:44","indexId":"70118310","displayToPublicDate":"2013-07-28T13:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well","docAbstract":"The vulnerability of public supply wells to chlorinated ethene (CE) contamination in part depends on the availability of naturally occurring organic carbon to consume dissolved oxygen (DO) and initiate reductive dechlorination. This was quantified by building a mass balance model of the Kirkwood-Cohansey aquifer, which is widely used for public water supply in New Jersey. This model was built by telescoping a calibrated regional three-dimensional (3D) MODFLOW model to the approximate capture zone of a single public supply well that has a history of CE contamination. This local model was then used to compute a mass balance between dissolved organic carbon (DOC), particulate organic carbon (POC), and adsorbed organic carbon (AOC) that act as electron donors and DO, CEs, ferric iron, and sulfate that act as electron acceptors (EAs) using the Sequential Electron Acceptor Model in three dimensions (SEAM3D) code. SEAM3D was constrained by varying concentrations of DO and DOC entering the aquifer via recharge, varying the bioavailable fraction of POC in aquifer sediments, and comparing observed and simulated vertical concentration profiles of DO and DOC. This procedure suggests that approximately 15% of the POC present in aquifer materials is readily bioavailable. Model simulations indicate that transport of perchloroethene (PCE) and its daughter products trichloroethene (TCE), <i>cis</i>-dichloroethene (<i>cis</i>-DCE), and vinyl chloride (VC) to the public supply well is highly sensitive to the assumed bioavailable fraction of POC, concentrations of DO entering the aquifer with recharge, and the position of simulated PCE source areas in the flow field. The results are less sensitive to assumed concentrations of DOC in aquifer recharge. The mass balance approach used in this study also indicates that hydrodynamic processes such as advective mixing, dispersion, and sorption account for a significant amount of the observed natural attenuation in this system.","language":"English","publisher":"State Water Control Board","publisherLocation":"Richmond, VA","doi":"10.1111/gwat.12152","usgsCitation":"Chapelle, F.H., Kauffman, L.J., and Widdowson, M.A., 2014, Modeling the effects of naturally occurring organic carbon on chlorinated ethene transport to a public supply well: Ground Water, v. 52, no. S1, p. 76-89, https://doi.org/10.1111/gwat.12152.","productDescription":"14 p.","startPage":"76","endPage":"89","numberOfPages":"14","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":473341,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gwat.12152","text":"External Repository"},{"id":291170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291169,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12152"}],"country":"United States","state":"New Jersey","city":"Glassboro","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.168261,39.678584 ], [ -75.168261,39.73739 ], [ -75.054785,39.73739 ], [ -75.054785,39.678584 ], [ -75.168261,39.678584 ] ] ] } } ] }","volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2013-12-23","publicationStatus":"PW","scienceBaseUri":"5422bb29e4b08312ac7cf079","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Leon J. 0000-0003-4564-0362 lkauff@usgs.gov","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":1094,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"lkauff@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":496734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496736,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193802,"text":"70193802 - 2014 - Response of walleye and yellow perch to water-level fluctuations in glacial lakes","interactions":[],"lastModifiedDate":"2017-11-08T12:08:51","indexId":"70193802","displayToPublicDate":"2013-07-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Response of walleye and yellow perch to water-level fluctuations in glacial lakes","docAbstract":"<p><span>The influence of water levels on population characteristics of yellow perch,&nbsp;</span><i>Perca flavescens&nbsp;</i><span>(Mitchill), and walleye,<span>&nbsp;</span></span><i>Sander vitreus</i><span><span>&nbsp;</span>(Mitchill), was evaluated across a range of glacial lakes in north-eastern South Dakota, USA. Results showed that natural variation in water levels had an important influence on frequently measured fish population characteristics. Yellow perch abundance was significantly (</span><i>P</i><span>&lt;</span><span>0.10) greater during elevated water levels. Yellow perch size structure, as indexed by the proportional size distribution of quality- and preferred-length fish (PSD and PSD-P), was significantly greater during low-water years, as was walleye PSD. Mean relative weight of walleye increased significantly during high-water periods. The dynamic and unpredictable nature of water-level fluctuations in glacial lakes ultimately adds complexity to management of these systems.</span></p>","language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1111/fme.12047","usgsCitation":"Dembkowski, D., Chipps, S.R., and Blackwell, B.G., 2014, Response of walleye and yellow perch to water-level fluctuations in glacial lakes: Fisheries Management and Ecology, v. 21, no. 2, p. 89-95, https://doi.org/10.1111/fme.12047.","productDescription":"7 p.","startPage":"89","endPage":"95","ipdsId":"IP-038632","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Bitter Lake, Cattail-Kettle Lake, Clear Lake, Enemy Swim Lake, Kampeska Lake, Lynn Lake, Poinsett Lake, Roy Lake, Waubay Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.95135498046875,\n              44.49454617990028\n            ],\n            [\n              -96.8609619140625,\n              44.49454617990028\n            ],\n            [\n              -96.8609619140625,\n              45.93778073466329\n            ],\n            [\n              -97.95135498046875,\n              45.93778073466329\n            ],\n            [\n              -97.95135498046875,\n              44.49454617990028\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-19","publicationStatus":"PW","scienceBaseUri":"5a0425c6e4b0dc0b45b45424","contributors":{"authors":[{"text":"Dembkowski, D.J.","contributorId":31995,"corporation":false,"usgs":true,"family":"Dembkowski","given":"D.J.","affiliations":[],"preferred":false,"id":721103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackwell, B. G.","contributorId":191556,"corporation":false,"usgs":false,"family":"Blackwell","given":"B.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":721104,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70134485,"text":"70134485 - 2014 - Understanding relationships among abundance, extirpation, and climate at ecoregional scales","interactions":[],"lastModifiedDate":"2020-12-28T12:38:28.44094","indexId":"70134485","displayToPublicDate":"2013-07-01T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Understanding relationships among abundance, extirpation, and climate at ecoregional scales","docAbstract":"<p>Recent research on mountain-dwelling species has illustrated changes in species&rsquo; distributional patterns in response to climate change. Abundance of a species will likely provide an earlier warning indicator of change than will occupancy, yet relationships between abundance and climatic factors have received less attention. We tested whether predictors of counts of American pikas (<em>Ochotona princeps</em>) during surveys from the Great Basin region in 1994&ndash;1999 and 2003&ndash;2008 differed between the two periods. Additionally, we tested whether various modeled aspects of ecohydrology better predicted relative density than did average annual precipitation, and whether risk of site-wide extirpation predicted subsequent population counts of pikas. We observed several patterns of change in pika abundance at range edges that likely constitute early warnings of distributional shifts. Predictors of pika abundance differed strongly between the survey periods, as did pika extirpation patterns previously reported from this region. Additionally, maximum snowpack and growing-season precipitation resulted in better-supported models than those using average annual precipitation, and constituted two of the top three predictors of pika density in the 2000s surveys (affecting pikas perhaps via vegetation). Unexpectedly, we found that extirpation risk positively predicted subsequent population size. Our results emphasize the need to clarify mechanisms underlying biotic responses to recent climate change at organism-relevant scales, to inform management and conservation strategies for species of concern.</p>","language":"English","publisher":"Brooklyn Botanical Garden","doi":"10.1890/12-2174.1","usgsCitation":"Beever, E.A., Long, J., Piekielek, N.B., Dubrowski, S., and Mysnberge, A., 2014, Understanding relationships among abundance, extirpation, and climate at ecoregional scales: Ecology, v. 94, no. 7, p. 1563-1571, https://doi.org/10.1890/12-2174.1.","productDescription":"9 p.","startPage":"1563","endPage":"1571","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038736","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/12-2174.1","text":"Publisher Index Page"},{"id":296385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2d7e4b09357f05f8a78","contributors":{"authors":[{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mysnberge, A.","contributorId":127625,"corporation":false,"usgs":false,"family":"Mysnberge","given":"A.","email":"","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":526026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, J.","contributorId":127626,"corporation":false,"usgs":false,"family":"Long","given":"J.","email":"","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":526027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubrowski, Solomon","contributorId":127627,"corporation":false,"usgs":false,"family":"Dubrowski","given":"Solomon","email":"","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":526028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piekielek, N. B.","contributorId":127648,"corporation":false,"usgs":false,"family":"Piekielek","given":"N.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":526110,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048524,"text":"70048524 - 2014 - Spawning related movement of shovelnose sturgeon in the Missouri River above Fort Peck Reservoir, Montana","interactions":[],"lastModifiedDate":"2014-01-13T10:28:08","indexId":"70048524","displayToPublicDate":"2013-07-01T11:36:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Spawning related movement of shovelnose sturgeon in the Missouri River above Fort Peck Reservoir, Montana","docAbstract":"The hypotheses of this study were (i) that shovelnose sturgeon would make upstream movements to spawn, (ii) movement of spawning fish would be greater in a year with higher discharge, and (iii) that spawning fish would have greater movements than reproductively inactive fish. Shovelnose sturgeon Scaphirhynchus platorynchus (Rafinesque, 1820) in five reproductive categories (e.g. males, confirmed spawning females, potentially spawning females, atretic females, and reproductively inactive females) were tracked in 2008 and 2009. All reproductive categories, except reproductively inactive females, exhibited large-scale movements and had omnidirectional movements. No differences in movement rates were observed in confirmed spawning females between years despite a 45% higher peak discharge in 2008 (839 m<sup>3</sup> s<sup>−1</sup>) than in 2009 (578 m<sup>3</sup> s<sup>−1</sup>). A peak discharge was obtained at a faster rate in 2008 (165 m<sup>3</sup> s<sup>−1</sup> day<sup>−1</sup>) than in 2009 (39 m<sup>3</sup> s<sup>−1</sup> day<sup>−1</sup>), and high discharge was of greater duration in 2008. Reproductively inactive females did not exhibit large-scale movements and their movement rate differed from other reproductive categories. Shovelnose sturgeon spawned in both years, despite highly varying hydrographs between years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ichthyology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jai.12336","usgsCitation":"Richards, R.R., Guy, C.S., Webb, M.A., Gardner, W., and Jensen, C., 2014, Spawning related movement of shovelnose sturgeon in the Missouri River above Fort Peck Reservoir, Montana: Journal of Applied Ichthyology, v. 30, no. 1, p. 1-13, https://doi.org/10.1111/jai.12336.","productDescription":"13 p.","startPage":"1","endPage":"13","numberOfPages":"13","ipdsId":"IP-051977","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":278381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278380,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jai.12336"}],"country":"United States","state":"Montana","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.095757,48.197348 ], [ -111.095757,48.318365 ], [ -110.607824,48.318365 ], [ -110.607824,48.197348 ], [ -111.095757,48.197348 ] ] ] } } ] }","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-19","publicationStatus":"PW","scienceBaseUri":"526a4175e4b0c0d229f9f6b6","contributors":{"authors":[{"text":"Richards, Ryan R.","contributorId":84260,"corporation":false,"usgs":true,"family":"Richards","given":"Ryan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":484954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Molly A.","contributorId":61327,"corporation":false,"usgs":true,"family":"Webb","given":"Molly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, William M.","contributorId":81401,"corporation":false,"usgs":true,"family":"Gardner","given":"William M.","affiliations":[],"preferred":false,"id":484956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, C.B.","contributorId":94964,"corporation":false,"usgs":true,"family":"Jensen","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":484958,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045551,"text":"70045551 - 2014 - Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy","interactions":[],"lastModifiedDate":"2014-01-06T09:53:59","indexId":"70045551","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1538,"text":"Environmental Geochemistry and Health","active":true,"publicationSubtype":{"id":10}},"title":"Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy","docAbstract":"Stream sediment, stream water, and fish were collected from a broad region to evaluate downstream transport and dispersion of mercury (Hg) from inactive mines in the Monte Amiata Hg District (MAMD), Tuscany, Italy. Stream sediment samples ranged in Hg concentration from 20 to 1,900 ng/g, and only 5 of the 17 collected samples exceeded the probable effect concentration for Hg of 1,060 ng/g, above which harmful effects are likely to be observed in sediment-dwelling organisms. Concentrations of methyl-Hg in Tiber River sediment varied from 0.12 to 0.52 ng/g, and although there is no established guideline for sediment methyl-Hg, these concentrations exceeded methyl-Hg in a regional baseline site (<0.02 ng/g). Concentrations of Hg in stream water varied from 1.2 to 320 ng/L, all of which were below the 1,000 ng/L Italian drinking water Hg guideline and the 770 ng/L U.S. Environmental Protection Agency (USEPA) guideline recommended to protect against chronic effects to aquatic wildlife. Methyl-Hg concentrations in stream water varied from <0.02 to 0.53 ng/L and were generally elevated compared to the baseline site (<0.02 ng/L). All stream water samples contained concentrations of As (<1.0–6.2 μg/L) and Sb (<0.20–0.37 μg/L) below international drinking water guidelines to protect human health (10 μg/L for As and 20 μg/L for Sb) and for protection against chronic effects to aquatic wildlife (150 μg/L for As and 5.6 μg/L for Sb). Concentrations of Hg in freshwater fish muscle ranged from 0.052–0.56 μg/g (wet weight), mean of 0.17 μg/g, but only 17 % (9 of 54) exceeded the 0.30 μg/g (wet weight) USEPA fish muscle guideline recommended to protect human health. Concentrations of Hg in freshwater fish in this region generally decreased with increasing distance from the MAMD, where fish with the highest Hg concentrations were collected more proximal to the MAMD, whereas all fish collected most distal from Hg mines contained Hg below the 0.30 μg/g fish muscle guideline. Data in this study indicate some conversion of inorganic Hg to methyl-Hg and uptake of Hg in fish on the Paglia River, but less methylation of Hg and Hg uptake by freshwater fish in the larger Tiber River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Geochemistry and Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10653-013-9525-z","usgsCitation":"Gray, J.E., Rimondi, V., Costagliola, P., Vaselli, O., and Lattanzi, P., 2014, Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy: Environmental Geochemistry and Health, v. 36, no. 1, p. 145-157, https://doi.org/10.1007/s10653-013-9525-z.","productDescription":"13 p.","startPage":"145","endPage":"157","numberOfPages":"13","ipdsId":"IP-045177","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":274096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274095,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10653-013-9525-z"}],"country":"Italy","otherGeospatial":"Tiber River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 6.63,35.49 ], [ 6.63,47.09 ], [ 18.52,47.09 ], [ 18.52,35.49 ], [ 6.63,35.49 ] ] ] } } ] }","volume":"36","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-12","publicationStatus":"PW","scienceBaseUri":"51c95c5ae4b0a50a6e8f57b4","contributors":{"authors":[{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":477830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rimondi, Valentina","contributorId":27772,"corporation":false,"usgs":true,"family":"Rimondi","given":"Valentina","email":"","affiliations":[],"preferred":false,"id":477831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costagliola, Pilario","contributorId":106404,"corporation":false,"usgs":true,"family":"Costagliola","given":"Pilario","email":"","affiliations":[],"preferred":false,"id":477834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vaselli, Orlando","contributorId":97804,"corporation":false,"usgs":true,"family":"Vaselli","given":"Orlando","email":"","affiliations":[],"preferred":false,"id":477833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lattanzi, Pierfranco","contributorId":87845,"corporation":false,"usgs":true,"family":"Lattanzi","given":"Pierfranco","affiliations":[],"preferred":false,"id":477832,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046604,"text":"70046604 - 2014 - Variation in hair δ<sup>13</sup>C and δ<sup>15</sup>N values in long-tailed macaques (Macaca fascicularis) from Singapore","interactions":[],"lastModifiedDate":"2013-12-23T10:03:54","indexId":"70046604","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3118,"text":"Primates","active":true,"publicationSubtype":{"id":10}},"title":"Variation in hair δ<sup>13</sup>C and δ<sup>15</sup>N values in long-tailed macaques (Macaca fascicularis) from Singapore","docAbstract":"Much of the primatology literature on stable isotope ratios of carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) has focused on African and New World species, with comparatively little research published on Asian primates. Here we present hair δ<sup>13</sup>C and δ<sup>15</sup>N isotope values for a sample of 33 long-tailed macaques from Singapore. We evaluate the suggestion by a previous researcher that forest degradation and biodiversity loss in Singapore have led to a decline in macaque trophic level. The results of our analysis indicated significant spatial variability in δ<sup>13</sup>C but not δ<sup>15</sup>N. The range of variation in δ<sup>13</sup>C was consistent with a diet based on C<sub>3</sub> resources, with one group exhibiting low values consistent with a closed canopy environment. Relative to other macaque species from Europe and Asia, the macaques from Singapore exhibited a low mean δ<sup>13</sup>C value but mid-range mean δ<sup>15</sup>N value. Previous research suggesting a decline in macaque trophic level is not supported by the results of our study.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Primates","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10329-013-0361-7","usgsCitation":"Schillaci, M.A., Castellini, J., Stricker, C.A., Jones-Engel, L., and Lee, B., 2014, Variation in hair δ<sup>13</sup>C and δ<sup>15</sup>N values in long-tailed macaques (Macaca fascicularis) from Singapore: Primates, v. 55, no. 1, p. 25-34, https://doi.org/10.1007/s10329-013-0361-7.","productDescription":"10 p.","startPage":"25","endPage":"34","numberOfPages":"10","ipdsId":"IP-046120","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473343,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1007/s10329-013-0361-7","text":"External Repository"},{"id":273752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273751,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10329-013-0361-7"}],"country":"Singapore","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 103.6056,1.1664 ], [ 103.6056,1.4709 ], [ 104.0857,1.4709 ], [ 104.0857,1.1664 ], [ 103.6056,1.1664 ] ] ] } } ] }","volume":"55","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-06-02","publicationStatus":"PW","scienceBaseUri":"51bc2d5de4b0c04034a01c8c","contributors":{"authors":[{"text":"Schillaci, Michael A.","contributorId":72285,"corporation":false,"usgs":true,"family":"Schillaci","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castellini, J. Margaret","contributorId":32813,"corporation":false,"usgs":true,"family":"Castellini","given":"J. Margaret","affiliations":[],"preferred":false,"id":479851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":479850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones-Engel, Lisa","contributorId":63705,"corporation":false,"usgs":true,"family":"Jones-Engel","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":479852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Benjamin P.Y.-H.","contributorId":90624,"corporation":false,"usgs":true,"family":"Lee","given":"Benjamin P.Y.-H.","affiliations":[],"preferred":false,"id":479854,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046260,"text":"70046260 - 2014 - Skin pathology in Hawaiian goldring surgeonfish, Ctenochaetus strigosus (Bennett)","interactions":[],"lastModifiedDate":"2017-10-04T09:44:46","indexId":"70046260","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Skin pathology in Hawaiian goldring surgeonfish, Ctenochaetus strigosus (Bennett)","docAbstract":"<p>Twenty-eight goldring surgeonfish, <i>Ctenochaetus strigosus</i> (Bennett), manifesting skin lesions and originating from the north-western and main Hawaiian Islands were examined. Skin lesions were amorphous and ranged from simple dark or light discolouration to multicoloured tan to white sessile masses with an undulant surface. Skin lesions covered 2&ndash;66% of the fish surface, and there was no predilection for lesions affecting a particular part of the fish. Males appeared over-represented. Microscopy revealed the skin lesions to be hyperplasia, melanophoromas or iridophoromas. The presence of skin tumours in a relatively unspoiled area of Hawaii is intriguing. Explaining their distribution, cause and impact on survivorship of fish all merit further study because <i>C. strigosus</i> is an economically important fish in the region.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jfd.12112","usgsCitation":"Work, T.M., and Aeby, G.S., 2014, Skin pathology in Hawaiian goldring surgeonfish, Ctenochaetus strigosus (Bennett): Journal of Fish Diseases, v. 37, no. 4, p. 357-362, https://doi.org/10.1111/jfd.12112.","productDescription":"6 p.","startPage":"357","endPage":"362","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042977","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473344,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/1230794","text":"External 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S.","contributorId":64783,"corporation":false,"usgs":false,"family":"Aeby","given":"Greta","email":"","middleInitial":"S.","affiliations":[{"id":13394,"text":"Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":479341,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058702,"text":"70058702 - 2014 - Climate change influences on marine infectious diseases: implications for management and society","interactions":[],"lastModifiedDate":"2014-01-06T10:04:58","indexId":"70058702","displayToPublicDate":"2013-06-01T09:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":811,"text":"Annual Review of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Climate change influences on marine infectious diseases: implications for management and society","docAbstract":"Infectious diseases are common in marine environments, but the effects of a changing climate on marine pathogens are not well understood. Here, we focus on reviewing current knowledge about how the climate drives hostpathogen interactions and infectious disease outbreaks. Climate-related impacts on marine diseases are being documented in corals, shellfish, finfish, and humans; these impacts are less clearly linked to other organisms. Oceans and people are inextricably linked, and marine diseases can both directly and indirectly affect human health, livelihoods, and well-being. We recommend an adaptive management approach to better increase the resilience of ocean systems vulnerable to marine diseases in a changing climate. Land-based management methods of quarantining, culling, and vaccinating are not successful in the ocean; therefore, forecasting conditions that lead to outbreaks and designing tools/approaches to influence these conditions may be the best way to manage marine disease.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annual Review of Marine Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-marine-010213-135029","usgsCitation":"Burge, C.A., Eakin, C.M., Friedman, C., Froelich, B., Hershberger, P., Hofmann, E.E., Petes, L.E., Prager, K.C., Weil, E., Willis, B.L., Ford, S.E., and Harvell, C.D., 2014, Climate change influences on marine infectious diseases: implications for management and society: Annual Review of Marine Science, v. 6, p. 249-277, https://doi.org/10.1146/annurev-marine-010213-135029.","productDescription":"29 p.","startPage":"249","endPage":"277","numberOfPages":"29","ipdsId":"IP-045162","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473345,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-marine-010213-135029","text":"Publisher Index Page"},{"id":280253,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1146/annurev-marine-010213-135029"},{"id":280262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5143e4b0b290850f3d2e","contributors":{"authors":[{"text":"Burge, Colleen A.","contributorId":34814,"corporation":false,"usgs":true,"family":"Burge","given":"Colleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eakin, C. Mark","contributorId":93372,"corporation":false,"usgs":true,"family":"Eakin","given":"C.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":487262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedman, Carolyn S.","contributorId":13890,"corporation":false,"usgs":true,"family":"Friedman","given":"Carolyn S.","affiliations":[],"preferred":false,"id":487255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Froelich, Brett","contributorId":72288,"corporation":false,"usgs":true,"family":"Froelich","given":"Brett","email":"","affiliations":[],"preferred":false,"id":487260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hershberger, Paul K. phershberger@usgs.gov","contributorId":1945,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul K.","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":487253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hofmann, Eileen E.","contributorId":55726,"corporation":false,"usgs":true,"family":"Hofmann","given":"Eileen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487258,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Petes, Laura E.","contributorId":68638,"corporation":false,"usgs":true,"family":"Petes","given":"Laura","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487259,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prager, Katherine C.","contributorId":8366,"corporation":false,"usgs":true,"family":"Prager","given":"Katherine","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":487254,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weil, Ernesto","contributorId":105212,"corporation":false,"usgs":true,"family":"Weil","given":"Ernesto","affiliations":[],"preferred":false,"id":487264,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Willis, Bette L.","contributorId":86467,"corporation":false,"usgs":true,"family":"Willis","given":"Bette","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487261,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ford, Susan E.","contributorId":40115,"corporation":false,"usgs":true,"family":"Ford","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487257,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Harvell, C. Drew","contributorId":93614,"corporation":false,"usgs":true,"family":"Harvell","given":"C.","email":"","middleInitial":"Drew","affiliations":[],"preferred":false,"id":487263,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70101266,"text":"70101266 - 2014 - Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013","interactions":[],"lastModifiedDate":"2020-03-05T12:22:08","indexId":"70101266","displayToPublicDate":"2013-05-28T10:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2013","chapter":"12","title":"Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013","docAbstract":"Rainbow Smelt <i>Osmerus mordax</i> are the second most abundant pelagic prey fish in Lake Ontario after Alewife <i>Alosa psuedoharengus</i>. The 2013, USGS/NYSDEC bottom trawl assessment indicated the abundance of Lake Ontario age-1 and older Rainbow Smelt decreased by 69% relative to 2012. Length frequency-based age analysis indicated that age-1 Rainbow Smelt constituted approximately 50% of the population, which is similar to recent trends where the proportion of age-1 has ranged from 95% to 42% of the population. While they constituted approximately half of the catch, the overall abundance index for age 1 was one of the lowest observed in the time series, potentially a result of cannibalism from the previous year class. Combined data from all bottom trawl assessments along the southern shore and eastern basin indicate the proportion of the fish community that is Rainbow Smelt has declined over the past 30 years. In 2013 the proportion of the pelagic fish catch (only pelagic species) that was Rainbow Smelt was the second lowest in the time series at 3.1%. Community diversity indices, based on bottom trawl catches, indicate that Lake Ontario fish community diversity, as assessed by bottom trawls, has sharply declined over the past 36 years and in 2013 the index was the lowest value in the time series. Much of this community diversity decline is driven by changes in the pelagic fish community and dominance of Alewife.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2013 Annual report: Bureau of Fisheries, Lake Ontario unit and St. Lawrence River unit, to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 26-27, 2014","conferenceLocation":"Windsor, ON","language":"English","publisher":"New York State Department of Environmental Conservation","publisherLocation":"Albany, NY","usgsCitation":"Weidel, B., and Connerton, M., 2014, Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013: NYSDEC Lake Ontario Annual Report  2013, 5 p.","productDescription":"5 p.","startPage":"12-11","endPage":"12- 15","ipdsId":"IP-055072","costCenters":[{"id":324,"text":"Great Lakes Science 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,{"id":70046002,"text":"70046002 - 2014 - Surface-water and groundwater interactions in an extensively mined watershed, upper Schuylkill River, Pennsylvania, USA","interactions":[],"lastModifiedDate":"2023-06-01T17:03:35.761076","indexId":"70046002","displayToPublicDate":"2013-05-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Surface-water and groundwater interactions in an extensively mined watershed, upper Schuylkill River, Pennsylvania, USA","docAbstract":"<p>Streams crossing underground coal mines may lose flow, while abandoned mine drainage (AMD) restores flow downstream. During 2005-12, discharge from the Pine Knot Mine Tunnel, the largest AMD source in the upper Schuylkill River Basin, had near-neutral pH and elevated concentrations of iron, manganese, and sulfate. Discharge from the tunnel responded rapidly to recharge but exhibited a prolonged recession compared to nearby streams, consistent with rapid infiltration and slow release of groundwater from the mine. Downstream of the AMD, dissolved iron was attenuated by oxidation and precipitation while dissolved CO<sub>2</sub> degassed and pH increased. During high-flow conditions, the AMD and downstream waters exhibited decreased pH, iron, and sulfate with increased acidity that were modeled by mixing net-alkaline AMD with recharge or runoff having low ionic strength and low pH. Attenuation of dissolved iron within the river was least effective during high-flow conditions because of decreased transport time coupled with inhibitory effects of low pH on oxidation kinetics.</p>\n<br/>\n<p>A numerical model of groundwater flow was calibrated using groundwater levels in the Pine Knot Mine and discharge data for the Pine Knot Mine Tunnel and the West Branch Schuylkill River during a snowmelt event in January 2012. Although the calibrated model indicated substantial recharge to the mine complex took place away from streams, simulation of rapid changes in mine pool level and tunnel discharge during a high flow event in May 2012 required a source of direct recharge to the Pine Knot Mine. Such recharge produced small changes in mine pool level and rapid changes in tunnel flow rate because of extensive unsaturated storage capacity and high transmissivity within the mine complex. Thus, elimination of stream leakage could have a small effect on the annual discharge from the tunnel, but a large effect on peak discharge and associated water quality in streams.</p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.9885","usgsCitation":"Cravotta, C.A., Goode, D., Bartles, M.D., Risser, D.W., and Galeone, D.G., 2014, Surface-water and groundwater interactions in an extensively mined watershed, upper Schuylkill River, Pennsylvania, USA: Hydrological Processes, v. 28, no. 10, p. 3574-3601, https://doi.org/10.1002/hyp.9885.","productDescription":"28 p.","startPage":"3574","endPage":"3601","numberOfPages":"28","ipdsId":"IP-042703","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":272349,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Schuylkill River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.52,39.72 ], [ -80.52,42.27 ], [ -74.69,42.27 ], [ -74.69,39.72 ], [ -80.52,39.72 ] ] ] } } ] }","volume":"28","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-06-21","publicationStatus":"PW","scienceBaseUri":"51974368e4b09a9cb58d5ee2","contributors":{"authors":[{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartles, Michael D.","contributorId":34405,"corporation":false,"usgs":true,"family":"Bartles","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galeone, Daniel G. 0000-0002-8007-9278 dgaleone@usgs.gov","orcid":"https://orcid.org/0000-0002-8007-9278","contributorId":2301,"corporation":false,"usgs":true,"family":"Galeone","given":"Daniel","email":"dgaleone@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478664,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70140924,"text":"70140924 - 2014 - Refocusing Mussel Watch on contaminants of emerging concern (CECs): the California pilot study (2009-10)","interactions":[],"lastModifiedDate":"2018-09-18T16:10:59","indexId":"70140924","displayToPublicDate":"2013-04-30T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Refocusing Mussel Watch on contaminants of emerging concern (CECs): the California pilot study (2009-10)","docAbstract":"<p><span>To expand the utility of the Mussel Watch Program, local, regional and state agencies in California partnered with NOAA to design a pilot study that targeted contaminants of emerging concern (CECs). Native mussels (</span><i>Mytilus</i><span><span>&nbsp;</span>spp.) from 68 stations, stratified by land use and discharge scenario, were collected in 2009&ndash;10 and analyzed for 167 individual pharmaceuticals, industrial and commercial chemicals and current use pesticides. Passive sampling devices (PSDs) and caged<span>&nbsp;</span></span><i>Mytilus</i><span><span>&nbsp;</span>were co-deployed to expand the list of CECs, and to assess the ability of PSDs to mimic bioaccumulation by<span>&nbsp;</span></span><i>Mytilus</i><span>. A performance-based quality assurance/quality control (QA/QC) approach was developed to ensure a high degree of data quality, consistency and comparability. Data management and analysis were streamlined and standardized using automated software tools. This pioneering study will help shape future monitoring efforts in California&rsquo;s coastal ecosystems, while serving as a model for monitoring CECs within the region and across the nation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2013.04.027","usgsCitation":"Maruya, K.A., Dodder, N.G., Schaffner, R.A., Weisberg, S., Gregorio, D., Klosterhaus, S., Alvarez, D.A., Furlong, E.T., Kimbrough, K.L., Lauenstein, G.G., and Christensen, J., 2014, Refocusing Mussel Watch on contaminants of emerging concern (CECs): the California pilot study (2009-10): Marine Pollution Bulletin, v. 81, no. 2, p. 334-339, https://doi.org/10.1016/j.marpolbul.2013.04.027.","productDescription":"6 p.","startPage":"334","endPage":"339","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059987","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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