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","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163052","usgsCitation":"Cartwright, J.M., and Costanza, Jennifer, 2016, Ecosystem vulnerability to climate change in the southeastern United States: U.S. Geological Survey Fact Sheet 2016–3052, 4 p., https://dx.doi.org/10.3133/fs20163052.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-076648","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":326101,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/pp1828","text":"Professional Paper 1828 - ","description":"FS 2016-3052","linkHelpText":"Insular Ecosystems of the Southeastern United States: A Regional Synthesis to Support Biodiversity Conservation in a Changing Climate"},{"id":326100,"rank":3,"type":{"id":7,"text":"Companion 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\"}}]}","contact":"U.S. Department of the Interior
Southeast Climate Science Center
North Carolina State University
127 David Clark Labs
Campus Box 7617
Raleigh, NC 27695
https://globalchange.ncsu.edu/secsc/
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,{"id":70171543,"text":"pp1828 - 2016 - Insular ecosystems of the southeastern United States—A regional synthesis to support biodiversity conservation in a changing climate","interactions":[],"lastModifiedDate":"2016-09-12T17:00:38","indexId":"pp1828","displayToPublicDate":"2016-08-11T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1828","title":"Insular ecosystems of the southeastern United States—A regional synthesis to support biodiversity conservation in a changing climate","docAbstract":"In the southeastern United States, insular ecosystems—such as rock outcrops, depression wetlands, high-elevation balds, flood-scoured riparian corridors, and insular prairies and barrens—occupy a small fraction of land area but constitute an important source of regional and global biodiversity, including concentrations of rare and endemic plant taxa. Maintenance of this biodiversity depends upon regimes of abiotic stress and disturbance, incorporating factors such as soil surface temperature, widely fluctuating hydrologic conditions, fires, flood scouring, and episodic droughts that may be subject to alteration by climate change. Over several decades, numerous localized, site-level investigations have yielded important information about the floristics, physical environments, and ecological dynamics of these insular ecosystems; however, the literature from these investigations has generally remained fragmented. This report consists of literature syntheses for eight categories of insular ecosystems of the southeastern United States, concerning (1) physical geography, (2) ecological determinants of community structures including vegetation dynamics and regimes of abiotic stress and disturbance, (3) contributions to regional and global biodiversity, (4) historical and current anthropogenic threats and conservation approaches, and (5) key knowledge gaps relevant to conservation, particularly in terms of climate-change effects on biodiversity. This regional synthesis was undertaken to discern patterns across ecosystems, identify knowledge gaps, and lay the groundwork for future analyses of climate-change vulnerability. Findings from this synthesis indicate that, despite their importance to regional and global biodiversity, insular ecosystems of the southeastern United States have been subjected to a variety of direct and indirect human alterations. In many cases, important questions remain concerning key determinants of ecosystem function. In particular, few empirical investigations in these ecosystems have focused on possible climate-change effects, despite the well-documented ecological effects of climate change at a global level. Long-term management of these ecosystems could benefit from increased scientific effort to characterize and quantify the linkages between changing environmental conditions and the ecological processes that sustain biodiversity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1828","usgsCitation":"Cartwright, J.M., and Wolfe, W.J., 2016, Insular ecosystems of the southeastern United States—A regional synthesis to support biodiversity conservation in a changing climate: U.S. Geological Survey Professional Paper 1828, 162 p., https://dx.doi.org/10.3133/pp1828.","productDescription":"viii, 162 p.","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-055844","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":326108,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163052","text":"Fact Sheet 2016-3052 -","description":"PP 1828","linkHelpText":"Ecosystem Vulnerability to Climate Change in the Southeastern United States"},{"id":326109,"rank":4,"type":{"id":7,"text":"Companion 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\"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
http://tn.water.usgs.gov/
","tableOfContents":"\n- Acknowledgments
\n- Abstract
\n- Chapter A. Introduction
\n- Chapter B. Granite Outcrops of the Piedmont
\n- Chapter C. Limestone Cedar Glades
\n- Chapter D. Xeric Limestone Prairies
\n- Chapter E. Mid-Appalachian Shale Barrens
\n- Chapter F. High-Elevation Outcrops and Balds of the Southern Appalachians
\n- Chapter G. Carolina Bays
\n- Chapter H. Karst-Depression Wetlands
\n- Chapter I. Riverscour Ecosystems
\n- Chapter J. Conclusions and Implications
\n- Glossary
\n- Appendix 1. Ecological System Names According to the International Terrestrial Ecological Systems Classification
\n- Appendix 2. Component Associations According to the International Terrestrial Ecological Systems Classification
\n- Appendix 3. Selected Plant Taxa of Conservation Concern in Insular Ecosystems of the Southeastern United States
\n- References Cited in Appendixes
\n
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,{"id":70171489,"text":"ofr20161073 - 2016 - Assessing climate-sensitive ecosystems in the southeastern United States","interactions":[],"lastModifiedDate":"2016-09-12T10:02:44","indexId":"ofr20161073","displayToPublicDate":"2016-08-11T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1073","title":"Assessing climate-sensitive ecosystems in the southeastern United States","docAbstract":"Climate change impacts ecosystems in many ways, from effects on species to phenology to wildfire dynamics. Assessing the potential vulnerability of ecosystems to future changes in climate is an important first step in prioritizing and planning for conservation. Although assessments of climate change vulnerability commonly are done for species, fewer have been done for ecosystems. To aid regional conservation planning efforts, we assessed climate change vulnerability for ecosystems in the Southeastern United States and Caribbean.
First, we solicited input from experts to create a list of candidate ecosystems for assessment. From that list, 12 ecosystems were selected for a vulnerability assessment that was based on a synthesis of available geographic information system (GIS) data and literature related to 3 components of vulnerability—sensitivity, exposure, and adaptive capacity. This literature and data synthesis comprised “Phase I” of the assessment. Sensitivity is the degree to which the species or processes in the ecosystem are affected by climate. Exposure is the likely future change in important climate and sea level variables. Adaptive capacity is the degree to which ecosystems can adjust to changing conditions. Where available, GIS data relevant to each of these components were used. For example, we summarized observed and projected climate, protected areas existing in 2011, projected sea-level rise, and projected urbanization across each ecosystem’s distribution. These summaries were supplemented with information in the literature, and a short narrative assessment was compiled for each ecosystem. We also summarized all information into a qualitative vulnerability rating for each ecosystem.
Next, for 2 of the 12 ecosystems (East Gulf Coastal Plain Near-Coast Pine Flatwoods and Nashville Basin Limestone Glade and Woodland), the NatureServe Habitat Climate Change Vulnerability Index (HCCVI) framework was used as an alternative approach for assessing vulnerability. Use of the HCCVI approach comprised “Phase II” of the assessment. This approach uses summaries of GIS data and models to develop a series of numeric indices for components of vulnerability. We incorporated many of the data sources used in Phase I, but added the results of several other data sources, including climate envelope modeling and vegetation dynamics modeling. The results of Phase II were high and low numeric vulnerability ratings for mid-century and the end of century for each ecosystem. The high and low ratings represented the potential range of vulnerability scores owing to uncertainties in future climate conditions and ecosystem effects.
Of the 12 ecosystems assessed in the first approach, five were rated as having high vulnerability (Caribbean Coastal Mangrove, Caribbean Montane Wet Elfin Forest, East Gulf Coastal Plain Southern Loess Bluff Forest, Edwards Plateau Limestone Shrubland, and Nashville Basin Limestone Glade and Woodland). Six ecosystems had medium vulnerability, and one ecosystem had low vulnerability. For the two ecosystems assessed with both approaches, vulnerability ratings generally agreed. The assessment concluded by comparing the two approaches, identifying critical research needs, and making suggestions for future ecosystem vulnerability assessments in the Southeast and beyond. Research needs include reducing uncertainty in the degree of climate exposure likely in the future, as well as acquiring more information on how climate might affect biotic interactions and hydrologic processes. Ideally, a comprehensive vulnerability assessment would include both the narrative summaries that resulted from the synthesis in Phase I, as well as a numeric index that incorporates uncertainty as in Phase II.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161073","usgsCitation":"Costanza, Jennifer, Beck, Scott, Pyne, Milo, Terando, Adam, Rubino, Matthew, White, Rickie, and Collazo, Jaime, 2016, Assessing climate-sensitive ecosystems in the southeastern United States: U.S. Geological Survey Open-File Report 2016–1073, 278 p., https://dx.doi.org/10.3133/ofr20161073.","productDescription":"v, 278 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-064978","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":325860,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163052","text":"Fact Sheet 2016–3052 -","description":"OFR 2016-1073","linkHelpText":"Ecosystem Vulnerability to Climate Change in the Southeastern United States"},{"id":325861,"rank":4,"type":{"id":7,"text":"Companion 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\"}}]}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
3916 Sunset Ridge Rd
Raleigh, N.C. 27607
http://nc.water.usgs.gov/
","tableOfContents":"\n- Executive Summary
\n- 1. Project Report
\n- 2. Caribbean Montane Wet Elfin Forest
\n- 3. Central Atlantic Coastal Plain Wet Longleaf Pine Savanna and Flatwoods
\n- 4. Central Florida Wet Prairie and Herbaceous Seep
\n- 5. East Gulf Coastal Plain Near-Coast Pine Flatwoods
\n- 6. East Gulf Coastal Plain Southern Loess Bluff Forest
\n- 7. Edwards Plateau Limestone Shrubland
\n- 8. Edwards Plateau Mesic Canyon
\n- 9. Manglar Costero del Caribe (Caribbean Coastal Mangrove)
\n- 10. Nashville Basin Limestone Glade and Woodland
\n- 11. South-Central Interior Mesophytic Forest
\n- 12. Southern Coastal Plain Nonriverine Cypress Dome
\n- 13. Southern Coastal Plain Seepage Swamp and Baygall
\n- Appendix A. Phase 1 Climate and Environmental Data Summaries
\n- Appendix B. Climate Sensitivity Graphs
\n- Appendix C. Projected Change in Standard Deviation of Climate Variables
\n- Appendix D. MaxEnt™—Data Preparation and Processing for the East Gulf Coastal Plain Near-Coast Pine Flatwoods Ecological System
\n
","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-08-11","noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57ad93a0e4b0d183567650e8","contributors":{"authors":[{"text":"Costanza, Jennifer","contributorId":74689,"corporation":false,"usgs":true,"family":"Costanza","given":"Jennifer","affiliations":[],"preferred":false,"id":631291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, Scott","contributorId":146484,"corporation":false,"usgs":false,"family":"Beck","given":"Scott","affiliations":[],"preferred":false,"id":631292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyne, Milo","contributorId":26378,"corporation":false,"usgs":true,"family":"Pyne","given":"Milo","affiliations":[],"preferred":false,"id":631293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terando, Adam aterando@usgs.gov","contributorId":4792,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":631290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rubino, Matthew J. 0000-0003-0651-3053","orcid":"https://orcid.org/0000-0003-0651-3053","contributorId":141234,"corporation":false,"usgs":false,"family":"Rubino","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":39327,"text":"North Carolina Cooperative Fish and Wildlife Research Unit, Department of Applied Ecology, North Carolina State Univ.","active":true,"usgs":false}],"preferred":false,"id":631294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Rickie","contributorId":100921,"corporation":false,"usgs":true,"family":"White","given":"Rickie","affiliations":[],"preferred":false,"id":631295,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collazo, Jaime jaime_collazo@usgs.gov","contributorId":2613,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":631296,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70171791,"text":"ofr20161057 - 2016 - Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014","interactions":[],"lastModifiedDate":"2016-08-11T09:55:24","indexId":"ofr20161057","displayToPublicDate":"2016-08-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1057","title":"Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014","docAbstract":"Water from the Little Arkansas River is used as source water for artificial recharge of the Equus Beds aquifer, one of the primary water-supply sources for the city of Wichita, Kansas. The U.S. Geological Survey has operated two continuous real-time water-quality monitoring stations since 1995 on the Little Arkansas River in Kansas. Regression models were developed to establish relations between discretely sampled constituent concentrations and continuously measured physical properties to compute concentrations of those constituents of interest. Site-specific regression models were originally published in 2000 for the near Halstead and near Sedgwick U.S. Geological Survey streamgaging stations and the site-specific regression models were then updated in 2003. This report updates those regression models using discrete and continuous data collected during May 1998 through August 2014. In addition to the constituents listed in the 2003 update, new regression models were developed for total organic carbon. The real-time computations of water-quality concentrations and loads are available at http://nrtwq.usgs.gov. The water-quality information in this report is important to the city of Wichita because water-quality information allows for real-time quantification and characterization of chemicals of concern (including chloride), in addition to nutrients, sediment, bacteria, and atrazine transported in the Little Arkansas River. The water-quality information in this report aids in the decision making for water treatment before artificial recharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161057","collaboration":"Prepared in cooperation with the city of Wichita, Kansas","usgsCitation":"Rasmussen, P.P., Eslick, P.J., and Ziegler, A.C., 2016, Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014: U.S. Geological Survey Open-File Report 2016–1057, 20 p., https://dx.doi.org/10.3133/ofr20161057.","productDescription":"Report: ii, 16 p.; Appendixes 1-2","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073013","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":326275,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057.pdf","text":"Report","size":"783 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057"},{"id":326274,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1057/coverthb.jpg"},{"id":326280,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057_appendix2.pdf","text":"Appendix 2","size":"2.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057 Appendix 2"},{"id":326276,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057_appendix1.pdf","text":"Appendix 1","size":"2.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057 Appendix 1"}],"country":"United States","state":"Kansas","otherGeospatial":"Little Arkansas River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.2,\n 37.75\n ],\n [\n -98.2,\n 38.6\n ],\n [\n -97.25,\n 38.6\n ],\n [\n -97.25,\n 37.75\n ],\n [\n -98.2,\n 37.75\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049
\nhttp://ks.water.usgs.gov
","tableOfContents":"\n- Abstract
\n- Introduction
\n- Methods
\n- Results of Regression Analysis for Selected Constituents
\n- Summary
\n- References Cited
\n
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-08-11","noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57ad93a2e4b0d1835676510a","contributors":{"authors":[{"text":"Rasmussen, Patrick P. 0000-0002-3287-6010 pras@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6010","contributorId":3530,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Patrick","email":"pras@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":632395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eslick, Patrick J. peslick@usgs.gov","contributorId":148966,"corporation":false,"usgs":true,"family":"Eslick","given":"Patrick J.","email":"peslick@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":645021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":645022,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70169856,"text":"sir20165038 - 2016 - Alaska Arctic marine fish ecology catalog","interactions":[],"lastModifiedDate":"2017-10-19T15:24:37","indexId":"sir20165038","displayToPublicDate":"2016-08-10T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5038","title":"Alaska Arctic marine fish ecology catalog","docAbstract":"The marine fishes in waters of the United States north of the Bering Strait have received new and increased scientific attention over the past decade (2005–15) in conjunction with frontier qualities of the region and societal concerns about the effects of Arctic climate change. Commercial fisheries are negligible in the Chukchi and Beaufort Seas, but many marine species have important traditional and cultural values to Alaska Native residents. Although baseline conditions are rapidly changing, effective decisions about research and monitoring investments must be based on reliable information and plausible future scenarios. For the first time, this synthesis presents a comprehensive evaluation of the marine fish fauna from both seas in a single reference. Although many unknowns and uncertainties remain in the scientific understanding, information presented here is foundational with respect to understanding marine ecosystems and addressing dual missions of the U.S. Department of the Interior for energy development and resource conservation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165038","collaboration":"Prepared in cooperation with Bureau of Ocean Energy Management, Environmental Studies Program (OCS Study, BOEM 2016-048)","usgsCitation":"Thorsteinson, L.K., and Love, M.S., eds., 2016, Alaska Arctic marine fish ecology catalog: U.S. Geological Survey Scientific Investigations Report 2016-5038 (OCS Study, BOEM 2016-048), 768 p., https://dx.doi.org/10.3133/sir20165038.","productDescription":"xi, 768 p.","numberOfPages":"783","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068293","costCenters":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"links":[{"id":326434,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles4.pdf","text":"Fish Profiles - Inconnu and Glacial Lanternfish","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326439,"rank":12,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles9.pdf","text":"Fish Profiles - Sea Tadpole to Polar Eelpout","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":333599,"rank":15,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M61HD7","text":"USGS data release","description":"USGS data release","linkHelpText":"Dataset for Alaska Marine Fish Ecology Catalog"},{"id":326440,"rank":13,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles10.pdf","text":"Fish Profiles - Marbled Eelpout to Banded Gunnel","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326441,"rank":14,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles11.pdf","text":"Fish Profiles - Northern Wolffish to Greenland Halibut","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":325146,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5038/coverthb2.jpg"},{"id":326430,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_chapters.pdf","text":"Report - does not include fish profiles","size":"13.7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326432,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles2.pdf","text":"Fish Profiles - Spotted Spiny Dogfish to Bering Cisco","size":"8.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326436,"rank":9,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles6.pdf","text":"Fish Profiles - Threespine Stickleback to Antlered Scuplin","size":"6.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326437,"rank":10,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles7.pdf","text":"Fish Profiles - Arctic Staghorn Sculpin to Ribbed Sculpin","size":"14 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326435,"rank":8,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles5.pdf","text":"Fish Profiles - Ice Cod to Pacific Cod","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326429,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038.pdf","text":"Complete Report","size":"122.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5038 Complete Report PDF"},{"id":326438,"rank":11,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles8.pdf","text":"Fish Profiles - Crested Sculpin to Leatherfin Lumpsucker","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326433,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles3.pdf","text":"Fish Profiles - Broad Whitefish to Dolly Varden","size":"9.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326431,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles1.pdf","text":"Fish Profiles - Pacific and Arctic Lampreys","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"}}],"contact":"Regional Director, Alaska
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508-4560
https://www.usgs.gov/science/regions/alaska-region
","tableOfContents":"\n- Acknowledgments
\n- Chapter 1. Alaska Arctic Marine Fish Ecology Catalog—Chukchi and Beaufort Seas
\n- Chapter 2. Alaska Arctic Marine Fish Inventory
\n- Chapter 3. Alaska Arctic Marine Fish Species Accounts
\n- Chapter 4. Synthesis of Arctic Alaska Marine Fish Ecology
\n- Chapter 5. Arctic Climate Change—A Tale Of Two Cods
\n- Chapter 6. Conservation of Arctic Alaska’s Marine Fish Resources
\n- Chapter 7. Glossary of Ecological Terms
\n- Chapter 8. References Cited
\n- Appendixes A-C
\n
\n
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-08-08","noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"57a99f24e4b05e859bdf4851","contributors":{"editors":[{"text":"Thorsteinson, Lyman K. lthorsteinson@usgs.gov","contributorId":3000,"corporation":false,"usgs":true,"family":"Thorsteinson","given":"Lyman","email":"lthorsteinson@usgs.gov","middleInitial":"K.","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":642285,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Love, Milton S.","contributorId":74652,"corporation":false,"usgs":true,"family":"Love","given":"Milton S.","affiliations":[],"preferred":false,"id":642286,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70175277,"text":"ofr20161129 - 2016 - 2014 annual summary of the lower Gunnison River Basin Selenium Management Program water-quality monitoring, Colorado","interactions":[],"lastModifiedDate":"2016-08-11T09:05:24","indexId":"ofr20161129","displayToPublicDate":"2016-08-10T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1129","title":"2014 annual summary of the lower Gunnison River Basin Selenium Management Program water-quality monitoring, Colorado","docAbstract":"Dissolved-selenium loading analyses of data collected at 18 water-quality sites in the lower Gunnison River Basin in Colorado were completed through water year (WY) 2014. A WY is defined as October 1–September 30. Selenium is a trace element that bioaccumulates in aquatic food chains and can cause reproductive failure, deformities, and other harmful effects. This report presents information on the dissolved-selenium loads at 18 sites in the lower Gunnison River Basin for WYs 2011–2014. Annual dissolved-selenium loads were calculated at 5 sites with continuous U.S. Geological Survey (USGS) streamflow gages, whereas instantaneous dissolved-selenium loads were calculated for the remaining 13 sites using water-quality samples that had been collected periodically during WYs 2011–2014. Annual dissolved-selenium loads for WY 2014 ranged from 336 pounds (lb) at Uncompahgre River at Colona to 13,300 lb at Gunnison River near Grand Junction (Whitewater). Most sites in the basin had a median instantaneous dissolved-selenium load of less than 20.0 lb per day. In general, dissolved-selenium loads at Gunnison River main-stem sites showed an increase from upstream to downstream.
The State of Colorado water-quality standard for dissolved selenium of 4.6 micrograms per liter (µg/L) was compared to the 85th percentiles for dissolved selenium at selected water-quality sites. Annual 85th percentiles for dissolved selenium were calculated for the five core USGS sites having streamflow gages using estimated dissolved-selenium concentrations from linear regression models. These annual 85th percentiles in WY 2014 ranged from 0.97 µg/L at Uncompahgre River at Colona to 16.7 µg/L at Uncompahgre River at Delta. Uncompahgre River at Delta and Whitewater were the only core sites where water samples exceeded the State of Colorado water-quality standard for dissolved selenium of 4.6 µg/L.
Instantaneous 85th percentiles for dissolved selenium were calculated for sites with sufficient data using water-quality samples collected during WYs 2011–2014. The instantaneous 85th percentiles for samples for WY 2014 ranged from 1.1 µg/L at Uncompahgre River at Colona to 125 µg/L at Loutzenhizer Arroyo at North River Road.
A trend analysis was completed for Whitewater to determine if dissolved-selenium loads are increasing or decreasing. The trend analysis indicates a decrease of 8,000 lb from WY 1986 to WY 2014, a 34.8 percent reduction during the time period, and an additional 6.2 percent reduction from a reported 28.6 percent reduction during WYs 1986–2008. The trend analysis for WY 1992 to WY 2014 indicates a decrease of 5,800 lb per year, or 27.9 percent.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161129","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Henneberg, M.F., 2016, 2014 annual summary of the lower Gunnison River Basin Selenium Management Program water-quality monitoring, Colorado: U.S. Geological Survey Open-File Report 2016–1129, 25 p., https://dx.doi.org/10.3133/ofr20161129. ","productDescription":"iv, 26 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076878","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":326308,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1129/ofr20161129.pdf","text":"Report","size":"3.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1129"},{"id":326307,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1129/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Lower Gunnison River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.39935302734375,\n 39.095962936305504\n ],\n [\n -108.270263671875,\n 39.059716474034666\n ],\n [\n -108.160400390625,\n 39.03838632847038\n ],\n [\n -107.99011230468749,\n 39.06824672852526\n ],\n [\n -107.874755859375,\n 39.095962936305504\n ],\n [\n -107.786865234375,\n 39.089567854849314\n ],\n [\n -107.70172119140624,\n 39.0533181067413\n ],\n [\n -107.6055908203125,\n 38.976492485539424\n ],\n [\n -107.6055908203125,\n 38.805470223177466\n ],\n [\n -107.70721435546875,\n 38.62116234642254\n ],\n [\n -107.808837890625,\n 38.43207668538204\n ],\n [\n -107.841796875,\n 38.28131307922969\n ],\n [\n -107.81982421874999,\n 38.048091067457236\n ],\n [\n -107.81982421874999,\n 37.95286091815649\n ],\n [\n -107.92144775390625,\n 37.91820111976663\n ],\n [\n -108.0120849609375,\n 37.91603433975963\n ],\n [\n -108.15216064453125,\n 37.94203148678865\n ],\n [\n -108.26202392578125,\n 38.07404145941957\n ],\n [\n -108.44329833984374,\n 38.47939467327645\n ],\n [\n -108.5723876953125,\n 38.70908932739828\n ],\n [\n -108.6053466796875,\n 38.83542884007303\n ],\n [\n -108.58612060546875,\n 39.04691915968503\n ],\n [\n -108.49822998046875,\n 39.104488809440475\n ],\n [\n -108.39935302734375,\n 39.095962936305504\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225-0046
\nhttp://co.water.usgs.gov/
","tableOfContents":"- Abstract
- Introduction
- Dissolved-Selenium Concentrations and Loads
- Dissolved-Selenium 85th-Percentile Analyses
- Dissolved-Selenium Trend Analysis
- Summary
- References Cited
- Appendix 1. S-LOADEST Equation Forms, Variable Coefficients, and Statistical Diagnostics
- Appendix 2. Calibration Data for 2014 Annual Load and Trend Regressions
","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-08-10","noUsgsAuthors":false,"publicationDate":"2016-08-10","publicationStatus":"PW","scienceBaseUri":"57ac4226e4b0d183567452e9","contributors":{"authors":[{"text":"Henneberg, Mark F. 0000-0002-6991-1211 mfhenneb@usgs.gov","orcid":"https://orcid.org/0000-0002-6991-1211","contributorId":173569,"corporation":false,"usgs":true,"family":"Henneberg","given":"Mark","email":"mfhenneb@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":644657,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175422,"text":"70175422 - 2016 - Climate, streamflow, and legacy effects on growth of riparian Populus angustifolia in the arid San Luis Valley, Colorado","interactions":[],"lastModifiedDate":"2016-08-10T09:56:12","indexId":"70175422","displayToPublicDate":"2016-08-10T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Climate, streamflow, and legacy effects on growth of riparian Populus angustifolia in the arid San Luis Valley, Colorado","docAbstract":"Knowledge of the factors affecting the vigor of desert riparian trees is important for their conservation and management. I used multiple regression to assess effects of streamflow and climate (12–14 years of data) or climate alone (up to 60 years of data) on radial growth of clonal narrowleaf cottonwood (Populus angustifolia), a foundation species in the arid, Closed Basin portion of the San Luis Valley, Colorado. I collected increment cores from trees (14–90 cm DBH) at four sites along each of Sand and Deadman creeks (total N = 85), including both perennial and ephemeral reaches. Analyses on trees <110 m from the stream channel explained 33–64% of the variation in standardized growth index (SGI) over the period having discharge measurements. Only 3 of 7 models included a streamflow variable; inclusion of prior-year conditions was common. Models for trees farther from the channel or over a deep water table explained 23–71% of SGI variability, and 4 of 5 contained a streamflow variable. Analyses using solely climate variables over longer time periods explained 17–85% of SGI variability, and 10 of 12 included a variable indexing summer precipitation. Three large, abrupt shifts in recent decades from wet to dry conditions (indexed by a seasonal Palmer Drought Severity Index) coincided with dramatically reduced radial growth. Each shift was presumably associated with branch dieback that produced a legacy effect apparent in many SGI series: uncharacteristically low SGI in the year following the shift. My results suggest trees in locations distant from the active channel rely on the regional shallow unconfined aquifer, summer rainfall, or both to meet water demands. The landscape-level differences in the water supplies sustaining these trees imply variable effects from shifts in winter-versus monsoon-related precipitation, and from climate change versus streamflow or groundwater management.
","language":"English","publisher":"Academic Press","publisherLocation":"London","doi":"10.1016/j.jaridenv.2016.07.005","usgsCitation":"Andersen, D., 2016, Climate, streamflow, and legacy effects on growth of riparian Populus angustifolia in the arid San Luis Valley, Colorado: Journal of Arid Environments, v. 134, p. 104-121, https://doi.org/10.1016/j.jaridenv.2016.07.005.","startPage":"104","endPage":"121","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071295","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470671,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2016.07.005","text":"Publisher Index Page"},{"id":326343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Luis Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.84983825683594,\n 37.62075814551956\n ],\n [\n -105.84983825683594,\n 38.03078569382294\n ],\n [\n -105.47561645507812,\n 38.03078569382294\n ],\n [\n -105.47561645507812,\n 37.62075814551956\n ],\n [\n -105.84983825683594,\n 37.62075814551956\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"134","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ac4227e4b0d183567452ec","chorus":{"doi":"10.1016/j.jaridenv.2016.07.005","url":"http://dx.doi.org/10.1016/j.jaridenv.2016.07.005","publisher":"Elsevier BV","authors":"Andersen Douglas C.","journalName":"Journal of Arid Environments","publicationDate":"11/2016"},"contributors":{"authors":[{"text":"Andersen, Douglas doug_andersen@usgs.gov","contributorId":152661,"corporation":false,"usgs":true,"family":"Andersen","given":"Douglas","email":"doug_andersen@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645133,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175410,"text":"70175410 - 2016 - Three-dimensional electrical resistivity model of the hydrothermal system in Long Valley Caldera, California, from magnetotellurics","interactions":[],"lastModifiedDate":"2016-08-26T11:15:54","indexId":"70175410","displayToPublicDate":"2016-08-10T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional electrical resistivity model of the hydrothermal system in Long Valley Caldera, California, from magnetotellurics","docAbstract":"Though shallow flow of hydrothermal fluids in Long Valley Caldera, California, has been well studied, neither the hydrothermal source reservoir nor heat source has been well characterized. Here a grid of magnetotelluric data were collected around the Long Valley volcanic system and modeled in 3-D. The preferred electrical resistivity model suggests that the source reservoir is a narrow east-west elongated body 4 km below the west moat. The heat source could be a zone of 2–5% partial melt 8 km below Deer Mountain. Additionally, a collection of hypersaline fluids, not connected to the shallow hydrothermal system, is found 3 km below the medial graben, which could originate from a zone of 5–10% partial melt 8 km below the south moat. Below Mammoth Mountain is a 3 km thick isolated body containing fluids and gases originating from an 8 km deep zone of 5–10% basaltic partial melt.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016GL069263","usgsCitation":"Peacock, J.R., Mangan, M.T., McPhee, D., and Wannamaker, P.E., 2016, Three-dimensional electrical resistivity model of the hydrothermal system in Long Valley Caldera, California, from magnetotellurics: Geophysical Research Letters, v. 43, no. 15, p. 7953-7962, https://doi.org/10.1002/2016GL069263.","productDescription":"10 p.","startPage":"7953","endPage":"7962","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074195","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":499825,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/8141104d95554d10b45eedd01006b332","text":"External Repository"},{"id":326333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.083333,\n 37.791667\n ],\n [\n -119.083333,\n 37.55\n ],\n [\n -118.666667,\n 37.55\n ],\n [\n -118.666667,\n 37.791667\n ],\n [\n -119.083333,\n 37.791667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"15","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"57ac4227e4b0d183567452f0","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224 jpeacock@usgs.gov","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":4996,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared","email":"jpeacock@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":645107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangan, Margaret T. 0000-0002-5273-8053 mmangan@usgs.gov","orcid":"https://orcid.org/0000-0002-5273-8053","contributorId":3343,"corporation":false,"usgs":true,"family":"Mangan","given":"Margaret","email":"mmangan@usgs.gov","middleInitial":"T.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":645108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":645109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wannamaker, Phil E.","contributorId":173574,"corporation":false,"usgs":false,"family":"Wannamaker","given":"Phil","email":"","middleInitial":"E.","affiliations":[{"id":7079,"text":"Energy and Geoscience Institute, University of Utah","active":true,"usgs":false}],"preferred":false,"id":645110,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176144,"text":"70176144 - 2016 - Determining CO2 storage potential during miscible CO2 enhanced oil recovery: Noble gas and stable isotope tracers","interactions":[],"lastModifiedDate":"2018-02-01T12:31:18","indexId":"70176144","displayToPublicDate":"2016-08-10T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"title":"Determining CO2 storage potential during miscible CO2 enhanced oil recovery: Noble gas and stable isotope tracers","docAbstract":"Rising atmospheric carbon dioxide (CO2) concentrations are fueling anthropogenic climate change. Geologic sequestration of anthropogenic CO2 in depleted oil reservoirs is one option for reducing CO2 emissions to the atmosphere while enhancing oil recovery. In order to evaluate the feasibility of using enhanced oil recovery (EOR) sites in the United States for permanent CO2 storage, an active multi-stage miscible CO2flooding project in the Permian Basin (North Ward Estes Field, near Wickett, Texas) was investigated. In addition, two major natural CO2 reservoirs in the southeastern Paradox Basin (McElmo Dome and Doe Canyon) were also investigated as they provide CO2 for EOR operations in the Permian Basin. Produced gas and water were collected from three different CO2 flooding phases (with different start dates) within the North Ward Estes Field to evaluate possible CO2 storage mechanisms and amounts of total CO2retention. McElmo Dome and Doe Canyon were sampled for produced gas to determine the noble gas and stable isotope signature of the original injected EOR gas and to confirm the source of this naturally-occurring CO2. As expected, the natural CO2produced from McElmo Dome and Doe Canyon is a mix of mantle and crustal sources. When comparing CO2 injection and production rates for the CO2 floods in the North Ward Estes Field, it appears that CO2 retention in the reservoir decreased over the course of the three injections, retaining 39%, 49% and 61% of the injected CO2 for the 2008, 2010, and 2013 projects, respectively, characteristic of maturing CO2 miscible flood projects. Noble gas isotopic composition of the injected and produced gas for the flood projects suggest no active fractionation, while δ13C![\"single](\"http://cdn.els-cdn.com/sd/entities/sbnd\")
CO2 values suggest no active CO2dissolution into formation water, or mineralization. CO2 volumes capable of dissolving in residual formation fluids were also estimated along with the potential to store pure-phase supercritical CO2. Using a combination of dissolution trapping and residual trapping, both volumes of CO2 currently retained in the 2008 and 2013 projects could be justified, suggesting no major leakage is occurring. These subsurface reservoirs, jointly considered, have the capacity to store up to 9 years of CO2 emissions from an average US powerplant.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijggc.2016.05.008","usgsCitation":"Shelton, J., McIntosh, J.C., Hunt, A.G., Beebe, T.L., Parker, A.D., Warwick, P.D., Drake II, R.M., and McCray, J.E., 2016, Determining CO2 storage potential during miscible CO2 enhanced oil recovery: Noble gas and stable isotope tracers: International Journal of Greenhouse Gas Control, v. 51, p. 239-253, https://doi.org/10.1016/j.ijggc.2016.05.008.","productDescription":"14 p.","startPage":"239","endPage":"253","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069409","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijggc.2016.05.008","text":"Publisher Index Page"},{"id":328027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntosh, Jennifer C. 0000-0001-5055-4202","orcid":"https://orcid.org/0000-0001-5055-4202","contributorId":150557,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":647459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":174135,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":647458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beebe, Thomas L","contributorId":174137,"corporation":false,"usgs":false,"family":"Beebe","given":"Thomas","email":"","middleInitial":"L","affiliations":[{"id":27367,"text":"Whiting Petroleum Corporation","active":true,"usgs":false}],"preferred":false,"id":647463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parker, Andrew D","contributorId":174138,"corporation":false,"usgs":false,"family":"Parker","given":"Andrew","email":"","middleInitial":"D","affiliations":[{"id":27367,"text":"Whiting Petroleum Corporation","active":true,"usgs":false}],"preferred":false,"id":647464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":647460,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Drake II, Ronald M. 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":172671,"corporation":false,"usgs":true,"family":"Drake II","given":"Ronald","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647461,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCray, John E.","contributorId":169186,"corporation":false,"usgs":false,"family":"McCray","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":647462,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70173831,"text":"sir20165072 - 2016 - Evaluation of effects of groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant, Shelby County, Tennessee","interactions":[],"lastModifiedDate":"2016-08-10T13:43:31","indexId":"sir20165072","displayToPublicDate":"2016-08-10T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5072","title":"Evaluation of effects of groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant, Shelby County, Tennessee","docAbstract":"The Mississippi Embayment Regional Aquifer Study groundwater-flow model was used to simulate the potential effects of future groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant in Shelby County, Tennessee. The scenario used in the simulation consisted of a 30-year average withdrawal period followed by a 30-day maximum withdrawal period. Effects of withdrawals at the Allen plant site on the Mississippi embayment aquifer system were evaluated by comparing the difference in simulated water levels in the aquifers at the end of the 30-year average withdrawal period and at the end of the scenario to a base case without the Allen combined-cycle combustion turbine plant withdrawals. Simulated potentiometric surface declines in the Memphis aquifer at the Allen plant site were about 7 feet at the end of the 30-year average withdrawal period and 11 feet at the end of the scenario. The affected area of the Memphis aquifer at the Allen plant site as delineated by the 4-foot potentiometric surface-decline contour was 2,590 acres at the end of the 30-year average withdrawal period and 11,380 acres at the end of the scenario. Simulated declines in the underlying Fort Pillow aquifer and overlying shallow aquifer were both less than 1 foot at the end of the 30-year average withdrawal period and the end of the scenario.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165072","collaboration":"Prepared in cooperation with the Tennessee Valley Authority","usgsCitation":"Haugh, C.J., 2016, Evaluation of effects of groundwater withdrawals at the proposed Allen combined-cycle combustion turbine plant, Shelby County, Tennessee: U.S. Geological Survey Scientific Investigations Report 2016–5072, 8 p., https://dx.doi.org/10.3133/sir20165072.","productDescription":"iv, 8 p.","startPage":"1","endPage":"8","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-072773","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":326304,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5072/coverthb.jpg"},{"id":326305,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5072/sir20165072.pdf","text":"Report","size":"668 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5072"}],"country":"United States","state":"Arkansas, Mississippi, Tennessee","county":"Shelby County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.5,\n 35.375\n ],\n [\n -90.5,\n 34.75\n ],\n [\n -89.75,\n 34.75\n ],\n [\n -89.75,\n 35.375\n ],\n [\n -90.5,\n 35.375\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Chief, Lower Mississippi-Gulf Water Science Center—Tennessee
U.S. Geological Survey
640 Grassmere Park, Suite 100,
Nashville, TN 37211
\nhttp://tn.water.usgs.gov/
","tableOfContents":"\n- Abstract
\n- Introduction
\n- Regional Model
\n- Effects of Groundwater Withdrawals
\n- Model Limitations
\n- Summary
\n- References
\n
","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-08-10","noUsgsAuthors":false,"publicationDate":"2016-08-10","publicationStatus":"PW","scienceBaseUri":"57ac4227e4b0d183567452ee","contributors":{"authors":[{"text":"Haugh, Connor J. 0000-0002-5204-8271 cjhaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-5204-8271","contributorId":3932,"corporation":false,"usgs":true,"family":"Haugh","given":"Connor","email":"cjhaugh@usgs.gov","middleInitial":"J.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638540,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70171480,"text":"sir20165070 - 2016 - Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico","interactions":[],"lastModifiedDate":"2016-09-12T10:03:01","indexId":"sir20165070","displayToPublicDate":"2016-08-09T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5070","title":"Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico","docAbstract":"The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, completed hydrologic and hydraulic analyses to assess the potential hazard to human life and property associated with the hypothetical failure of the Lago El Guineo Dam. The Lago El Guineo Dam is within the headwaters of the Río Grande de Manatí and impounds a drainage area of about 4.25 square kilometers.
The hydrologic assessment was designed to determine the outflow hydrographs and peak discharges for Lago El Guineo and other subbasins in the Río Grande de Manatí hydrographic basin for three extreme rainfall events: (1) a 6-hour probable maximum precipitation event, (2) a 24-hour probable maximum precipitation event, and (3) a 24-hour, 100-year recurrence rainfall event. The hydraulic study simulated a dam failure of Lago El Guineo Dam using flood hydrographs generated from the hydrologic study. The simulated dam failure generated a hydrograph that was routed downstream from Lago El Guineo Dam through the lower reaches of the Río Toro Negro and the Río Grande de Manatí to determine water-surface profiles developed from the event-based hydrologic scenarios and “sunny day” conditions. The Hydrologic Engineering Center’s Hydrologic Modeling System (HEC–HMS) and Hydrologic Engineering Center’s River Analysis System (HEC–RAS) computer programs, developed by the U.S. Army Corps of Engineers, were used for the hydrologic and hydraulic modeling, respectively. The flow routing in the hydraulic analyses was completed using the unsteady flow module available in the HEC–RAS model.
Above the Lago El Guineo Dam, the simulated inflow peak discharges from HEC–HMS resulted in about 550 and 414 cubic meters per second for the 6- and 24-hour probable maximum precipitation events, respectively. The 24-hour, 100-year recurrence storm simulation resulted in a peak discharge of about 216 cubic meters per second. For the hydrologic analysis, no dam failure conditions are considered within the model. The results of the hydrologic simulations indicated that for all hydrologic conditions scenarios, the Lago El Guineo Dam would not experience overtopping. For the dam breach hydraulic analysis, failure by piping was the selected hypothetical failure mode for the Lago El Guineo Dam.
Results from the simulated dam failure of the Lago El Guineo Dam using the HEC–RAS model for the 6- and 24-hour probable maximum precipitation events indicated peak discharges below the dam of 1,342.43 and 1,434.69 cubic meters per second, respectively. Dam failure during the 24-hour, 100-year recurrence rainfall event resulted in a peak discharge directly downstream from Lago El Guineo Dam of 1,183.12 cubic meters per second. Dam failure during sunny-day conditions (no precipitation) produced a peak discharge at Lago El Guineo Dam of 1,015.31 cubic meters per second assuming the initial water-surface elevation was at the morning-glory spillway invert elevation.
The results of the hydraulic analysis indicate that the flood would extend to many inhabited areas along the stream banks from the Lago El Guineo Dam to the mouth of the Río Grande as a result of the simulated failure of the Lago El Guineo Dam. Low-lying regions in the vicinity of Ciales, Manatí, and Barceloneta, Puerto Rico, are among the regions that would be most affected by failure of the Lago El Guineo Dam. Effects of the flood control (levee) structure constructed in 2000 to provide protection to the low-lying populated areas of Barceloneta, Puerto Rico, were considered in the hydraulic analysis of dam failure. The results indicate that overtopping can be expected in the aforementioned levee during 6- and 24-hour probable maximum precipitation events. The levee was not overtopped during dam failure scenarios under the 24-hour, 100-year recurrence rainfall event or sunny-day conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165070","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Gómez-Fragoso, Julieta, and Torres-Sierra, Heriberto, 2016, Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico: U.S. Geological Survey Scientific Investigations Report 2016–5070, 49 p., 4 pls., https://dx.doi.org/10.3133/sir20165070.","productDescription":"Report: vi, 49 p.; 4 Plates: 29 x 35 inches; 2 Data Releases","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-062802","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":438575,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72V2D7Q","text":"USGS data release","linkHelpText":"Dam Failure Analysis for the Lago de Guineo dam, Orocovis, Puerto Rico"},{"id":326029,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate02.pdf","text":"Plate 2 - Flood-Inundation Map of the Predicted 24-Hour Probable Maximum Precipitation Event, Northern Part of Rio Grande de Manati Basin","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326026,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5070/coverthb.jpg"},{"id":326028,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate01.pdf","text":"Plate 1 - Flood-Inundation Map of the Predicted 6-Hour Probable Maximum Precipitation Event, Northern Part of Rio Grande de Manati Basin","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326027,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070.pdf","text":"Report","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326030,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate03.pdf","text":"Plate 3 - Flood-Inundation Map of the Predicted 100-Year Recurrence, 24-Hour Precipitation Event, Northern Part of Rio Grande de Manati Basin","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326031,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2016/5070/sir20165070_plate04.pdf","text":"Plate 4 - Flood-Inundation Map During Sunny Day Conditions, Northern Part of Rio Grande de Manati Basin ","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5070"},{"id":326032,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F72V2D7Q","text":"USGS data release - Spatial Data for Dam failure analysis for the Lago El Guineo Dam, Orocovis, Puerto Rico","description":"SIR 2016-5070"},{"id":326195,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F72J690R","text":"USGS data release - HEC-HMS and HEC-RAS models used to analyze dam failure for the Lago El Guineo Dam, Orocovis, Puerto Rico","description":"SIR 2016-5070"}],"country":"Puerto Rico","city":"Orocovis","otherGeospatial":"Lago El Guineo Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.583333,\n 18.49\n ],\n [\n -66.583333,\n 18.291667\n ],\n [\n -66.394444,\n 18.291667\n ],\n [\n -66.394444,\n 18.49\n ],\n [\n -66.583333,\n 18.49\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
813-498-5000
http://pr.water.usgs.gov/
","tableOfContents":"\n- Abstract
\n- Introduction
\n- Hydrologic Study
\n- Hydraulic Study
\n- Uncertainties in the Flood Inundation Maps
\n- Summary and Conclusions
\n- References Cited
\n- Appendix 1. Hydrologic Engineering Center’s Hydrologic Modeling System Output Hydrographs for the Dam Failure Analysis of the Lago El Guineo Dam, Orocovis, Puerto Rico
\n
","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-08-09","noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"57aaf0a3e4b05e859be09b07","contributors":{"authors":[{"text":"Gómez-Fragoso, Julieta jgomez-fragoso@usgs.gov","contributorId":169855,"corporation":false,"usgs":true,"family":"Gómez-Fragoso","given":"Julieta","email":"jgomez-fragoso@usgs.gov","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":false,"id":631264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heriberto Torres-Sierra","contributorId":141082,"corporation":false,"usgs":false,"family":"Heriberto Torres-Sierra","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":644545,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175409,"text":"70175409 - 2016 - Nonlinear relationships can lead to bias in biomass calculations and drift-foraging models when using summaries of invertebrate drift data","interactions":[],"lastModifiedDate":"2016-09-06T13:32:42","indexId":"70175409","displayToPublicDate":"2016-08-09T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Nonlinear relationships can lead to bias in biomass calculations and drift-foraging models when using summaries of invertebrate drift data","docAbstract":"Drift-foraging models offer a mechanistic description of how fish feed in flowing water and the application of drift-foraging bioenergetics models to answer both applied and theoretical questions in aquatic ecology is growing. These models typically include nonlinear descriptions of ecological processes and as a result may be sensitive to how model inputs are summarized because of a mathematical property of nonlinear equations known as Jensen’s inequality. In particular, we show that the way in which continuous size distributions of invertebrate prey are represented within foraging models can lead to biases within the modeling process. We begin by illustrating how different equations common to drift-foraging models are sensitive to invertebrate inputs. We then use two case studies to show how different representations of invertebrate prey can influence predictions of energy intake and lifetime growth. Greater emphasis should be placed on accurate characterizations of invertebrate drift, acknowledging that inferences from drift-foraging models may be influenced by how invertebrate prey are represented.
","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10641-016-0507-8","usgsCitation":"Dodrill, M.J., and Yackulic, C.B., 2016, Nonlinear relationships can lead to bias in biomass calculations and drift-foraging models when using summaries of invertebrate drift data: Environmental Biology of Fishes, v. 99, no. 8, p. 659-670, https://doi.org/10.1007/s10641-016-0507-8.","productDescription":"12 p.","startPage":"659","endPage":"670","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070151","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":326332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"57ac50dbe4b0d1835674b25c","chorus":{"doi":"10.1007/s10641-016-0507-8","url":"http://dx.doi.org/10.1007/s10641-016-0507-8","publisher":"Springer Nature","authors":"Dodrill Michael J., Yackulic Charles B.","journalName":"Environmental Biology of Fishes","publicationDate":"8/9/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"8/9/2016"},"contributors":{"authors":[{"text":"Dodrill, Michael J. 0000-0002-7038-7170 mdodrill@usgs.gov","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":5468,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","email":"mdodrill@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":645105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":645106,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174244,"text":"ofr20161061 - 2016 - Demographics and movements of least terns and piping plovers in the Central Platte River Valley, Nebraska","interactions":[],"lastModifiedDate":"2016-08-10T09:08:51","indexId":"ofr20161061","displayToPublicDate":"2016-08-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1061","title":"Demographics and movements of least terns and piping plovers in the Central Platte River Valley, Nebraska","docAbstract":"The Central Platte River Valley provides breeding habitat for a variety of migratory birds, including federally endangered interior least terns (Sternula antillarum; least tern) and threatened piping plovers (Charadrius melodus). Since 2009, researchers have collected demographic data on both species that span their lifecycle (that is, from egg laying through survival of adults). Demographic data were used to estimate vital rates (for example, nest survival, chick survival, and so on) for both species and assess how these vital rates were related to type and age of nesting habitat. Nest survival of both species was unrelated to the age of the site a nest was initiated on. Piping plover chick survival to fledging age was not related to the age of the site it was hatched at, however, the probability of a least tern chick surviving to fledging was higher at older sites. In general there were fewer piping plover nests than least tern nests found at sites created through either the physical construction of a new site or new vegetation management regimes, during 2009–14.
Mean daily least tern nest survival was 0.9742 (95-percent confidence interval [CI]: 0.9692–0.9783) and cumulative nest survival was 0.59 (95-percent CI: 0.53–0.65). Mean daily least tern chick survival was 0.9602 (95-percent CI: 0.9515–0.9673) and cumulative survival to fledging was 0.54 (95-percent CI = 0.48–0.61). Annual apparent survival rates were estimated at 0.42 (95-percent CI = 0.22–0.64) for adult least terns nesting in the Central Platte River Valley and an apparent survival rate of 0.14 (95-pecent CI = 0.04–0.41) for juvenile least terns. The number of least tern nests present at sites created during 2009–14 was associated with the age of the site; more least tern nests were associated with older sites. During 2009–14, there were four (less than 1 percent of all chicks marked) least tern chicks hatched from the Central Platte River Valley that were subsequently captured on nests as adults. Two of these least terns returned to nest at the same site they had hatched from. Ten instances were documented in which an adult least tern could either switch to nest at a new location or remain at the previous location with the onset of a new year. In five (50 percent) of these instances, least terns returned to nest on the site where they had nested in a previous year.
For piping plovers, mean daily apparent nest survival was 0.9880 (95-pecent CI: 0.9836–0.9912) and cumulative nest survival was 0.66 (95-pecent CI: 0.57–0.74). Mean daily piping plover chick survival was 0.9621 (95-pecent CI: 0.9514–0.9706) and cumulative survival to fledging was 0.46 (95-pecent CI = 0.37– 0.56). The annual apparent survival estimate for adult piping plovers nesting in the Central Platte River Valley was 0.76 (95-pecent CI = 0.65–0.85) and was 0.20 (95-pecent CI = 0.14–0.29) for juvenile piping plovers. The number of piping plover nests present at sites created through either the physical construction of a new site or new vegetation management regimes was also associated with site age, with more piping plover nests associated with older sites; however, in general there were fewer piping plover nests found at created sites than least tern nests. Only first-year adult piping plovers were observed on sites in the first year of availability, whereas older sites had a higher proportion of after-first-year adult piping plovers than first-year adult piping plovers. Twelve piping plover chicks (approximately 3 percent of all chicks marked) hatched from the Central Platte River Valley and were subsequently documented on nests as adults. All piping plovers returned to nest on different sites from the one on which they hatched. A total of 45 instances were documented in which an adult plover could either switch to nest at a new location or remain at the previous location with the onset of a new year. In 39 instances (87 percent), the adult nested on the same site as its prior documented nesting attempt and in 6 of these instances the adult switched to a new nesting location between years. There were 13 of 75 uniquely identifiable piping plovers observed to renest (that is, initiate more than one nest in a season) during 2009–14; no renests were observed among uniquely identifiable least terns. In all but one case, piping plover renests were found at the same site as the first nest initiated that season. For birds that renested, the mean initiation date of the first nest was May 6 and the mean initiation date of the second nest was June 8. On average, renests were initiated 7.5 days plus or minus 7.3 (SD [standard deviation]) following the date the initial nesting attempt was ‘fated’ (considered either failed or hatched).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161061","usgsCitation":"Roche, E.A., Sherfy, M.H., Ring, M.M., Shaffer, T.L., Anteau, M.J., and Stucker, J.H., 2016, Demographics and movements of least terns and piping plovers in the Central Platte River Valley, Nebraska: U.S. Geological Survey Open-File Report 2016–1061, 27 p., https://dx.doi.org/10.3133/ofr20161061.","productDescription":"vi, 27 p.","startPage":"1","endPage":"27","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066073","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":326293,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1061/ofr20161061.pdf","text":"Report","size":"2.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1061"},{"id":326292,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1061/coverthb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Central Platte River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.69680786132812,\n 40.81588791441588\n ],\n [\n -99.78195190429688,\n 40.66813955408042\n ],\n [\n -99.71466064453125,\n 40.63896734381723\n ],\n [\n -99.60617065429688,\n 40.62437645591559\n ],\n [\n -99.49905395507812,\n 40.622291783092706\n ],\n [\n -99.39743041992188,\n 40.629587853312174\n ],\n [\n -99.36309814453125,\n 40.629587853312174\n ],\n [\n -99.283447265625,\n 40.61186744303007\n ],\n [\n -99.217529296875,\n 40.61082491956405\n ],\n [\n -99.07470703125,\n 40.60456943720527\n ],\n [\n -98.95660400390625,\n 40.606654663050485\n ],\n [\n -98.81927490234375,\n 40.614994915836924\n ],\n [\n -98.75198364257811,\n 40.637925243274374\n ],\n [\n -98.6956787109375,\n 40.65355504328842\n ],\n [\n -98.60641479492188,\n 40.67126439151552\n ],\n [\n -98.51852416992186,\n 40.70042247927178\n ],\n [\n -98.44436645507812,\n 40.713955826286046\n ],\n [\n -98.349609375,\n 40.751418432997454\n ],\n [\n -98.3056640625,\n 40.7743018636372\n ],\n [\n -98.2342529296875,\n 40.831475967182925\n ],\n [\n -98.16146850585938,\n 40.898981853950986\n ],\n [\n -98.09005737304688,\n 40.95915977213492\n ],\n [\n -98.00216674804688,\n 40.99959341455489\n ],\n [\n -97.943115234375,\n 41.036894775104436\n ],\n [\n -98.06121826171875,\n 41.12695250600846\n ],\n [\n -98.09692382812499,\n 41.088667173210624\n ],\n [\n -98.16421508789062,\n 41.05243077390835\n ],\n [\n -98.25759887695312,\n 41.01099329360268\n ],\n [\n -98.34686279296874,\n 40.977824533189526\n ],\n [\n -98.37844848632811,\n 40.95189982816191\n ],\n [\n -98.43475341796875,\n 40.90313381465847\n ],\n [\n -98.4814453125,\n 40.861602479810266\n ],\n [\n -98.54461669921875,\n 40.83667117059108\n ],\n [\n -98.63662719726562,\n 40.80861223601287\n ],\n [\n -98.70529174804686,\n 40.78054143186031\n ],\n [\n -98.75885009765625,\n 40.771181859756496\n ],\n [\n -98.84124755859375,\n 40.758700379161034\n ],\n [\n -98.93600463867188,\n 40.74725696280421\n ],\n [\n -99.01702880859374,\n 40.72956780913899\n ],\n [\n -99.11590576171875,\n 40.73268976628568\n ],\n [\n -99.22027587890624,\n 40.73268976628568\n ],\n [\n -99.32327270507812,\n 40.74309523218185\n ],\n [\n -99.40155029296875,\n 40.75245875985305\n ],\n [\n -99.49081420898438,\n 40.75557964275591\n ],\n [\n -99.62677001953125,\n 40.77846164090355\n ],\n [\n -99.69680786132812,\n 40.81588791441588\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, North Dakota 58401
\nhttp://www.npwrc.usgs.gov/
","tableOfContents":"- Executive Summary
- Introduction
- Study Area
- Methods
- Results
- Discussion
- Information Needs
- References Cited
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-08-09","noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"57aaf0a4e4b05e859be09b09","contributors":{"authors":[{"text":"Roche, Erin A. eroche@usgs.gov","contributorId":5558,"corporation":false,"usgs":true,"family":"Roche","given":"Erin","email":"eroche@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ring, Megan M. 0000-0001-8331-8492 mring@usgs.gov","orcid":"https://orcid.org/0000-0001-8331-8492","contributorId":5149,"corporation":false,"usgs":true,"family":"Ring","given":"Megan","email":"mring@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641590,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stucker, Jennifer H. jstucker@usgs.gov","contributorId":3183,"corporation":false,"usgs":true,"family":"Stucker","given":"Jennifer","email":"jstucker@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641591,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189896,"text":"70189896 - 2016 - Parsing anomalous versus normal diffusive behavior of bedload sediment particles","interactions":[],"lastModifiedDate":"2017-08-01T10:24:17","indexId":"70189896","displayToPublicDate":"2016-08-09T00:00:00","publicationYear":"2016","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":"Parsing anomalous versus normal diffusive behavior of bedload sediment particles","docAbstract":"Bedload sediment transport is the basic physical ingredient of river evolution. Formulae exist for estimating transport rates, but the diffusive contribution to the sediment flux, and the associated spreading rate of tracer particles, are not clearly understood. The start-and-stop motions of sediment particles transported as bedload on a streambed mimic aspects of the Einstein–Smoluchowski description of the random-walk motions of Brownian particles. Using this touchstone description, recent work suggests the presence of anomalous diffusion, where the particle spreading rate differs from the linear dependence with time of Brownian behavior. We demonstrate that conventional measures of particle spreading reveal different attributes of bedload particle behavior depending on details of the calculation. When we view particle motions over start-and-stop timescales obtained from high-speed (250 Hz) imaging of coarse-sand particles, high-resolution measurements reveal ballistic-like behavior at the shortest (10−2 s) timescale, followed by apparent anomalous behavior due to correlated random walks in transition to normal diffusion (>10−1 s) – similar to Brownian particle behavior but involving distinctly different physics. However, when treated as a ‘virtual plume’ over this timescale range, particles exhibit inhomogeneous diffusive behavior because both the mean and the variance of particle travel distances increase nonlinearly with increasing travel times, a behavior that is unrelated to anomalous diffusion or to Brownian-like behavior. Our results indicate that care is needed in suggesting anomalous behavior when appealing to conventional measures of diffusion formulated for ideal particle systems.
","language":"English","publisher":"Wiley Online Library","doi":"10.1002/esp.3994","usgsCitation":"Fathel, S., Furbish, D., and Schmeeckle, M., 2016, Parsing anomalous versus normal diffusive behavior of bedload sediment particles: Earth Surface Processes and Landforms, v. 41, p. 1797-1803, https://doi.org/10.1002/esp.3994.","productDescription":"7 p.","startPage":"1797","endPage":"1803","ipdsId":"IP-073672","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"59819315e4b0e2f5d463b79d","contributors":{"authors":[{"text":"Fathel, Siobhan","contributorId":189088,"corporation":false,"usgs":false,"family":"Fathel","given":"Siobhan","email":"","affiliations":[],"preferred":false,"id":706650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Furbish, David","contributorId":189086,"corporation":false,"usgs":false,"family":"Furbish","given":"David","affiliations":[],"preferred":false,"id":706651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmeeckle, Mark mschmeeckle@usgs.gov","contributorId":173789,"corporation":false,"usgs":true,"family":"Schmeeckle","given":"Mark","email":"mschmeeckle@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706649,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175390,"text":"70175390 - 2016 - Pruning high-value Douglas-fir can reduce dwarf mistletoe severity and increase longevity in central Oregon","interactions":[],"lastModifiedDate":"2016-08-09T10:12:53","indexId":"70175390","displayToPublicDate":"2016-08-08T17:45:00","publicationYear":"2016","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":"Pruning high-value Douglas-fir can reduce dwarf mistletoe severity and increase longevity in central Oregon","docAbstract":"Mid- to very large-sized Douglas-fir (Pseudotsuga menzieseii var. menziesii) that were lightly- to moderately-infected by dwarf mistletoe (Arceuthobium douglasii) were analyzed over a 14-year period to evaluate whether mechanical pruning could eradicate mistletoe (or at least delay the onset of severe infection) without significantly affecting tree vitality and by inference, longevity. Immediate and longterm pruning effects on mistletoe infection severity were assessed by comparing pruned trees (n = 173) to unpruned trees (n = 55) with respect to: (1) percentage of trees with no visible infections 14 years post-pruning, (2) Broom Volume Rating (BVR), and (3) rate of BVR increase 14 years postpruning. Vitality/longevity (compared with unpruned trees) was assessed using six indicators: (1) tree survival, (2) the development of severe infections, (3) the development of dead tops, (4) tree-ring width indices, (5) Normalized Difference Vegetation Index (NDVI) from high-resolution multi-spectral imagery, and (6) live-crown ratio (LCR) and increment. Twenty-four percent of the pruned trees remained free of mistletoe 14 years post-pruning. Pruning is most likely to successfully eradicate mistletoe in lightly infected trees (BVR 1 or 2) without infected neighbors. Pruning significantly decreased mean BVR in the pruned versus the unpruned trees. However, the subsequent average rate of intensification (1.3–1.5 BVR per decade) was not affected, implying that a single pruning provides ~14 years respite in the progression of infection levels. Post-pruning infection intensification was slower on dominant and co-dominants than on intermediate or suppressed trees. The success of mistletoe eradication via pruning and need for follow-up pruning should be evaluated no sooner than 14 years after pruning to allow for the development of detectable brooms. Based on six indicators, foliage from witches brooms contribute little to long-term tree vitality since removal appears to have little effect on resources available for tree growth and maintenance. In the severely pruned trees, tree-ring width was reduced for several years post-pruning, but then compensated with larger ring width in later years. Both NDVI and LCR increment were significantly higher for the pruned trees than the control trees, while the development of severe infections and/or dead tops was significantly (5X and 3X) higher for the controls. If possible, multiple indicators of tree vitality should be evaluated. Pruning can be worthwhile even if all the mistletoe is not removed, because mistletoe intensification is delayed. The impact of removing the brooms seems to be minimal, and post-pruning crowns had greater NDVI values.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2016.07.014","usgsCitation":"Maffei, H.M., Filip, G.M., Gruelke, N.E., Oblinger, B.W., Margolis, E.Q., and Chadwick, K.L., 2016, Pruning high-value Douglas-fir can reduce dwarf mistletoe severity and increase longevity in central Oregon: Forest Ecology and Management, v. 379, p. 11-19, https://doi.org/10.1016/j.foreco.2016.07.014.","productDescription":"9 p.","startPage":"11","endPage":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075721","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470674,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2016.07.014","text":"Publisher Index Page"},{"id":326281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"379","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf485b","contributors":{"authors":[{"text":"Maffei, Helen M","contributorId":173539,"corporation":false,"usgs":false,"family":"Maffei","given":"Helen","email":"","middleInitial":"M","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":645024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Filip, Gregory M","contributorId":173540,"corporation":false,"usgs":false,"family":"Filip","given":"Gregory","email":"","middleInitial":"M","affiliations":[{"id":27245,"text":"USDA Forest Service, Pacific Northwest Regional Office","active":true,"usgs":false}],"preferred":false,"id":645025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gruelke, Nancy E","contributorId":173541,"corporation":false,"usgs":false,"family":"Gruelke","given":"Nancy","email":"","middleInitial":"E","affiliations":[{"id":27246,"text":"USDA Forest Service, Western Wildlands Environmental Threat Assessment Center","active":true,"usgs":false}],"preferred":false,"id":645026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oblinger, Brent W","contributorId":173542,"corporation":false,"usgs":false,"family":"Oblinger","given":"Brent","email":"","middleInitial":"W","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":645027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chadwick, Kristen L","contributorId":173543,"corporation":false,"usgs":false,"family":"Chadwick","given":"Kristen","email":"","middleInitial":"L","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":645028,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70175391,"text":"70175391 - 2016 - Historical dominance of low-severity fire in dry and wet mixed-conifer forest habitats of the endangered terrestrial Jemez Mountains salamander (Plethodon neomexicanus)","interactions":[],"lastModifiedDate":"2016-08-08T16:15:04","indexId":"70175391","displayToPublicDate":"2016-08-08T17:15:00","publicationYear":"2016","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":"Historical dominance of low-severity fire in dry and wet mixed-conifer forest habitats of the endangered terrestrial Jemez Mountains salamander (Plethodon neomexicanus)","docAbstract":"Anthropogenic alteration of ecosystem processes confounds forest management and conservation of rare, declining species. Restoration of forest structure and fire hazard reduction are central goals of forest management policy in the western United States, but restoration priorities and treatments have become increasingly contentious. Numerous studies have documented changes in fire regimes, forest stand structure and species composition following a century of fire exclusion in dry, frequent-fire forests of the western U.S. (e.g., ponderosa pine and dry mixed-conifer). In contrast, wet mixed-conifer forests are thought to have historically burned infrequently with mixed- or high-severity fire—resulting in reduced impacts from fire exclusion and low restoration need—but data are limited. In this study we quantified the current forest habitat of the federally endangered, terrestrial Jemez Mountains salamander (Plethodon neomexicanus) and compared it to dendroecological reconstructions of historical habitat (e.g., stand structure and composition), and fire regime parameters along a gradient from upper ponderosa pine to wet mixed-conifer forests. We found that current fire-free intervals in Jemez Mountains salamander habitat (116–165 years) are significantly longer than historical intervals, even in wet mixed-conifer forests. Historical mean fire intervals ranged from 10 to 42 years along the forest gradient. Low-severity fires were historically dominant across all forest types (92 of 102 fires). Although some mixed- or highseverity fire historically occurred at 67% of the plots over the last four centuries, complete mortality within 1.0 ha plots was rare, and asynchronous within and among sites. Climate was an important driver of temporal variability in fire severity, such that mixed- and high-severity fires were associated with more extreme drought than low-severity fires. Tree density in dry conifer forests historically ranged from open (90 trees/ha) to moderately dense (400 trees/ha), but has doubled on average since fire exclusion. Infill of fire-sensitive tree species has contributed to the conversion of historically dry mixedconifer to wet mixed-conifer forest. We conclude that low-severity fire, which has been absent for over a century, was a critical ecosystem process across the forest gradient in Jemez Mountains salamander habitat, and thus is an important element of ecosystem restoration, resilience, and rare species recovery.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2016.05.011","usgsCitation":"Margolis, E.Q., and Malevich, S.B., 2016, Historical dominance of low-severity fire in dry and wet mixed-conifer forest habitats of the endangered terrestrial Jemez Mountains salamander (Plethodon neomexicanus): Forest Ecology and Management, v. 375, p. 12-26, https://doi.org/10.1016/j.foreco.2016.05.011.","productDescription":"15 p.","startPage":"12","endPage":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071390","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":326279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"375","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf4857","contributors":{"authors":[{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malevich, Steven B.","contributorId":173544,"corporation":false,"usgs":false,"family":"Malevich","given":"Steven","email":"","middleInitial":"B.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":645030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168517,"text":"70168517 - 2016 - Model simulations of flood and debris flow timing in steep catchments after wildfire","interactions":[],"lastModifiedDate":"2016-09-28T16:11:59","indexId":"70168517","displayToPublicDate":"2016-08-08T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Model simulations of flood and debris flow timing in steep catchments after wildfire","docAbstract":"Debris flows are a typical hazard on steep slopes after wildfire, but unlike debris flows that mobilize from landslides, most post-wildfire debris flows are generated from water runoff. The majority of existing debris-flow modeling has focused on landslide-triggered debris flows. In this study we explore the potential for using process-based rainfall-runoff models to simulate the timing of water flow and runoff-generated debris flows in recently burned areas. Two different spatially distributed hydrologic models with differing levels of complexity were used: the full shallow water equations and the kinematic wave approximation. Model parameter values were calibrated in two different watersheds, spanning two orders of magnitude in drainage area. These watersheds were affected by the 2009 Station Fire in the San Gabriel Mountains, CA, USA. Input data for the numerical models were constrained by time series of soil moisture, flow stage, and rainfall collected at field sites, as well as high-resolution lidar-derived digital elevation models. The calibrated parameters were used to model a third watershed in the burn area, and the results show a good match with observed timing of flow peaks. The calibrated roughness parameter (Manning's $n$) was generally higher when using the kinematic wave approximation relative to the shallow water equations, and decreased with increasing spatial scale. The calibrated effective watershed hydraulic conductivity was low for both models, even for storms occurring several months after the fire, suggesting that wildfire-induced changes to soil-water infiltration were retained throughout that time. Overall the two model simulations were quite similar suggesting that a kinematic wave model, which is simpler and more computationally efficient, is a suitable approach for predicting flood and debris flow timing in steep, burned watersheds.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2015WR018176","usgsCitation":"Rengers, F.K., McGuire, L., Kean, J.W., Staley, D.M., and Hobley, D., 2016, Model simulations of flood and debris flow timing in steep catchments after wildfire: Water Resources Research, v. 52, no. 8, p. 6041-6061, https://doi.org/10.1002/2015WR018176.","productDescription":"21 p.","startPage":"6041","endPage":"6061","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073271","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470675,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015wr018176","text":"Publisher Index Page"},{"id":326243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf4859","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":620765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":620766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":620767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":620768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobley, D.E.J","contributorId":167019,"corporation":false,"usgs":false,"family":"Hobley","given":"D.E.J","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":620769,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175160,"text":"70175160 - 2016 - Remote sensing of tamarisk biomass, insect herbivory, and defoliation: Novel methods in the Grand Canyon Region, Arizona","interactions":[],"lastModifiedDate":"2016-08-08T13:19:55","indexId":"70175160","displayToPublicDate":"2016-08-08T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing of tamarisk biomass, insect herbivory, and defoliation: Novel methods in the Grand Canyon Region, Arizona","docAbstract":"Tamarisk is an invasive, riparian shrub species in the southwestern USA. The northern tamarisk beetle (Diorhabda carinulata) has been introduced to several states to control tamarisk. We classified tamarisk distribution in the Glen Canyon National Recreation Area, Arizona using a 0.2 m resolution, airborne multispectral data and estimated tamarisk beetle effects (overall accuracy of 86 percent) leading to leaf defoliation in a 49,408 m2 area. We also estimated individual tamarisk tree biomass and their uncertainties using airbonre liday data (100 points/m2). On average, total above ground tamarisk biomass was 8.67 kg/m2 (SD=17.6). The tamarisk beetle defoliation resulted in a mean leaf biomass loss of 0.52 kg/m2 and an equivalent of 25,692 kg across the entire study area. Our defoliated tamarisk map and biomass estimates can help inform restoration treatments to reduce tamarisk. Continued monitoring of tamarisk and tamarisk beetle effects are recommended to understand the currently-unknown eventual equilibrium between the two species and the cascading effects on ecosystem processes.
","language":"English","publisher":"ingenta Connect","doi":"10.14358/PERS.82.8.645","usgsCitation":"Sankey, T.T., Sankey, J.B., Horne, R., and Bedford, A., 2016, Remote sensing of tamarisk biomass, insect herbivory, and defoliation: Novel methods in the Grand Canyon Region, Arizona: Photogrammetric Engineering and Remote Sensing, v. 82, no. 8, p. 645-652, https://doi.org/10.14358/PERS.82.8.645.","productDescription":"8 p.","startPage":"645","endPage":"652","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069946","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488513,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.82.8.645","text":"Publisher Index Page"},{"id":326234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf485d","contributors":{"authors":[{"text":"Sankey, Temuulen T.","contributorId":173297,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":644152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":644151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horne, Rene","contributorId":173299,"corporation":false,"usgs":false,"family":"Horne","given":"Rene","email":"","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":644154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bedford, Ashton","contributorId":173298,"corporation":false,"usgs":false,"family":"Bedford","given":"Ashton","email":"","affiliations":[{"id":27207,"text":"NAU and NPS","active":true,"usgs":false}],"preferred":false,"id":644153,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175379,"text":"70175379 - 2016 - Highstand shelf fans: The role of buoyancy reversal in the deposition of a new type of shelf sand body","interactions":[],"lastModifiedDate":"2016-11-03T16:25:43","indexId":"70175379","displayToPublicDate":"2016-08-08T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Highstand shelf fans: The role of buoyancy reversal in the deposition of a new type of shelf sand body","docAbstract":"Although sea-level highstands are typically associated with sediment-starved continental shelves, high sea level does not hinder major river floods. Turbidity currents generated by plunging of sediment-laden rivers at the fluvial-marine interface, known as hyperpycnal flows, allow for cross-shelf transport of suspended sand beyond the coastline. Hyperpycnal flows in southern California have deposited six subaqueous fans on the shelf of the northern Santa Barbara Channel in the Holocene. Using eight cores and nine grab samples, we describe the deposits, age, and stratigraphic architecture of two fans in the Santa Barbara Channel. Fan lobes have up to 3 m of relief and are composed of multiple hyperpycnite beds ∼5 cm to 40 cm thick. Deposit architecture and geometry suggest the hyperpycnal flows became positively buoyant and lifted off the seabed, resulting in well-sorted, structureless, elongate sand lobes. Contrary to conventional sequence stratigraphic models, the presence of these features on the continental shelf suggests that active-margin shelves may locally develop high-quality reservoir sand bodies during sea-level highstands, and that such shelves need not be solely the site of sediment bypass. These deposits may provide a Quaternary analogue to many well-sorted sand bodies in the rock record that are interpreted as turbidites but lack typical Bouma-type features.
","language":"English","publisher":"Geological of Society of America","doi":"10.1130/B31438.1","usgsCitation":"Steel, E., Simms, A.R., Warrick, J.A., and Yokoyama, Y., 2016, Highstand shelf fans: The role of buoyancy reversal in the deposition of a new type of shelf sand body: Geological Society of America Bulletin, v. 128, no. 11-12, p. 1717-1724, https://doi.org/10.1130/B31438.1.","productDescription":"8 p.","startPage":"1717","endPage":"1724","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074404","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":326233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"11-12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-25","publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf4855","contributors":{"authors":[{"text":"Steel, Elisabeth","contributorId":47692,"corporation":false,"usgs":true,"family":"Steel","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":644988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simms, Alexander R.","contributorId":52887,"corporation":false,"usgs":true,"family":"Simms","given":"Alexander","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":644989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":644987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yokoyama, Yusuke","contributorId":173528,"corporation":false,"usgs":false,"family":"Yokoyama","given":"Yusuke","email":"","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":644990,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174909,"text":"ofr20161120 - 2016 - A satellite model of Southwestern Willow Flycatcher (Empidonax traillii extimus) breeding habitat and a simulation of potential effects of tamarisk leaf beetles (Diorhabda spp.), southwestern United States","interactions":[],"lastModifiedDate":"2016-08-09T09:18:11","indexId":"ofr20161120","displayToPublicDate":"2016-08-08T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1120","title":"A satellite model of Southwestern Willow Flycatcher (Empidonax traillii extimus) breeding habitat and a simulation of potential effects of tamarisk leaf beetles (Diorhabda spp.), southwestern United States","docAbstract":"Executive Summary
\nThe study described in this report represents the first time that a satellite model has been used to identify potential Southwestern Willow Flycatcher (Empidonax traillii extimus) (hereinafter referred to as “flycatcher”) breeding habitat rangewide for 2013–15. Fifty-seven Landsat scenes were required to map the entire range of the flycatcher, encompassing parts of six States and more than 1 billion 30-meter pixels. Predicted flycatcher habitat was summarized in a hierarchical fashion from largest to smallest: regionwide, State, U.S. Fish and Wildlife Service (FWS) management unit, 7.5-minute quadrangle, and critical-habitat reach. The term “predicted habitat” is used throughout this report to distinguish areas the satellite model predicts as suitable flycatcher habitat from what may actually exist on the ground. A rangewide accuracy assessment was done with 758 territories collected in 2014, and change detection was done with yearly habitat maps to identify how and where habitat changed over time. Additionally, effects of tamarisk leaf beetles (Diorhabda spp.) on flycatcher habitat were summarized for the lower Virgin River from 2010 to 2015, and simulations of how tamarisk leaf beetles may affect flycatcher habitat in the lower Colorado and upper Gila Rivers were done for 2015. Model results indicated that the largest areas of predicted flycatcher habitat at elevations below 1,524 meters were in New Mexico and Arizona, areas followed in descending order by California, Texas, Nevada, Utah, and Colorado. By FWS management unit, the largest area of flycatcher habitat during all 3 years were the Middle Rio Grande (New Mexico), followed by the Upper Gila (Arizona and New Mexico) and Middle Gila/San Pedro (Arizona) management units. The area of predicted flycatcher habitat varied considerably in 7.5-minute quadrangles, ranging from 0 to1,398 hectares (ha). Averaged across 3 years, the top three producing quadrangles were Paraje Well (New Mexico), San Marcial (New Mexico), and San Carlos Reservoir (Arizona). The top three FWS critical-habitat reaches in 2015 were Rio Grande-middle (9,544 ha), San Pedro River (1,779 ha), and Gila River-mid San Carlos (1,356 ha); this ranking did not change in 2013 or 2014. Change detection among years showed a large shift in predicted flycatcher habitat influenced by drought patterns, with California habitat decreasing and New Mexico habitat increasing. An accuracy assessment indicated that 88 percent of territories were correctly classified at a 40 percent probability threshold, with an exponential relationship between territory densities and five probability classes. A spatially explicit analysis indicated that beetles decreased predicted flycatcher habitat 94.2 percent from 2010 to 2015 along the lower Virgin River, with only 5.8 percent persisting. In contrast, beetle simulations indicated that 64.1 percent of habitat will persist along the lower Colorado River and 45 percent will persist along the upper Gila River. This project shows that the satellite model adequately predicts flycatcher habitat rangewide, but it lacks the ability to predict which patches will be occupied in a given year. The next logical step is the development of an occupancy model that ties the habitat predictions of the satellite model to patch occupancy so managers can better allocate their resources for survey and restoration activities. Finally, the methods presented in this report seem well suited for automated mapping applications and cloud-based resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161120","usgsCitation":"Hatten, J.R., 2016, A satellite model of Southwestern Willow Flycatcher (Empidonax traillii extimus) breeding habitat and a simulation of potential effects of tamarisk leaf beetles (Diorhabda spp.), Southwestern United States: U.S. Geological Survey Open-File Report 2016–1120, 88 p., https://dx.doi.org/10.3133/ofr20161120.","productDescription":"vi, 88 p.","numberOfPages":"98","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074418","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":326223,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1120/coverthb.jpg"},{"id":326224,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1120/ofr20161120.pdf","text":"Report","size":"13.6 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U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
","tableOfContents":"\n- Executive Summary
\n- Introduction
\n- Methods
\n- Results
\n- Discussion
\n- Acknowledgments
\n- References Cited
\n- Appendix A. Metadata for Landsat Scenes Used in Regionwide Mapping and Habitat Time Series
\n- Appendix B. Normalized Difference Vegetation Index (NDVI) Conversions for Landsat 8
\n
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,{"id":70175371,"text":"70175371 - 2016 - Dispersal limitation does not control high elevational distribution of alien plant species in the southern Sierra Nevada, California","interactions":[],"lastModifiedDate":"2016-08-08T11:09:46","indexId":"70175371","displayToPublicDate":"2016-08-08T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Dispersal limitation does not control high elevational distribution of alien plant species in the southern Sierra Nevada, California","docAbstract":"Patterns of elevational distribution of alien plant species in the southern Sierra Nevada of California were used to test the hypothesis that alien plant species invading high elevations around the world are typically climate generalists capable of growing across a wide elevational range. The Sierra Nevada has been heavily impacted for more than a century and a half, first by heavy grazing up into high elevation meadows, followed by major logging, and finally, by impacts associated with recreational use. The comparative elevational patterns of distribution and growth form were compared for native and alien plant species in the four families (Asteraceae, Brassicaceae, Fabaceae, and Poaceae) that contribute the majority of naturalized aliens in the study area. The distribution of realized climatic niche breadth, as measured by elevational range of occurrence, was virtually identical for alien and native species, with both groups showing a roughly Gaussian distribution peaking with species whose range covers a span of 1500–1999 m. In contrast to alien species, which only rarely occurred at higher elevations, native species showed a distribution of upper elevation limits peaking at 3000–3499 m, an elevation that corresponds to the zone of upper montane and subalpine forests. Consistent with a hypothesis of abiotic limitations, only a few alien species have been ecologically successful invaders at subalpine and alpine elevations above 2500 m. The low diversity of aliens able to become established in these habitats is unlikely due to dispersal limitations, given the long history of heavy grazing pressure at high elevations across this region. Instead, this low diversity is hypothesized to be a function of life history traits and multiple abiotic stresses that include extremes of cold air and soil temperature, heavy snowfall, short growing seasons, and low resource availability. These findings have significant implications for resource managers.
","language":"English","publisher":"Natural Areas Association","doi":"10.3375/043.036.0308","usgsCitation":"Rundel, P.W., and Keeley, J.E., 2016, Dispersal limitation does not control high elevational distribution of alien plant species in the southern Sierra Nevada, California: Natural Areas Journal, v. 36, no. 3, p. 277-287, https://doi.org/10.3375/043.036.0308.","productDescription":"11 p.","startPage":"277","endPage":"287","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051437","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470676,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.3375/043.036.0308","text":"External Repository"},{"id":326215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","volume":"36","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a99f25e4b05e859bdf4853","contributors":{"authors":[{"text":"Rundel, Philip W.","contributorId":107552,"corporation":false,"usgs":true,"family":"Rundel","given":"Philip","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":644954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":644953,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70175387,"text":"70175387 - 2016 - Inter-annual variability of area-scaled gaseous carbon emissions from wetland soils in the Liaohe Delta, China","interactions":[],"lastModifiedDate":"2018-03-21T13:30:05","indexId":"70175387","displayToPublicDate":"2016-08-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Inter-annual variability of area-scaled gaseous carbon emissions from wetland soils in the Liaohe Delta, China","docAbstract":"Global management of wetlands to suppress greenhouse gas (GHG) emissions, facilitate carbon (C) sequestration, and reduce atmospheric CO2 concentrations while simultaneously promoting agricultural gains is paramount. However, studies that relate variability in CO2 and CH4 emissions at large spatial scales are limited. We investigated three-year emissions of soil CO2 and CH4 from the primary wetland types of the Liaohe Delta, China, by focusing on a total wetland area of 3287 km2. One percent is Suaeda salsa, 24% is Phragmites australis, and 75% is rice. While S. salsa wetlands are under somewhat natural tidal influence, P. australis and rice are managed hydrologically for paper and food, respectively. Total C emissions from CO2 and CH4 from these wetland soils were 2.9 Tg C/year, ranging from 2.5 to 3.3 Tg C/year depending on the year assessed. Primary emissions were from CO2 (~98%). Photosynthetic uptake of CO2 would mitigate most of the soil CO2 emissions, but CH4 emissions would persist. Overall, CH4 fluxes were high when soil temperatures were >18°C and pore water salinity <18 PSU. CH4 emissions from rice habitat alone in the Liaohe Delta represent 0.2% of CH4 carbon emissions globally from rice. With such a large area and interannual sensitivity in soil GHG fluxes, management practices in the Delta and similar wetlands around the world have the potential not only to influence local C budgeting, but also to influence global biogeochemical cycling.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0160612","usgsCitation":"Ye, S., Krauss, K.W., Brix, H., Wei, M., Olsson, L., Yu, X., Ma, Y., Wang, J., Yuan, H., Zhao, G., Ding, X., and Moss, R., 2016, Inter-annual variability of area-scaled gaseous carbon emissions from wetland soils in the Liaohe Delta, China: PLoS ONE, v. 11, no. 8, Article e0160612; 20 p., https://doi.org/10.1371/journal.pone.0160612.","productDescription":"Article e0160612; 20 p.","ipdsId":"IP-072645","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470678,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0160612","text":"Publisher Index Page"},{"id":338190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Liaohe Delta","geographicExtents":"{\n \"type\": 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China","active":true,"usgs":false}],"preferred":false,"id":645015,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Jin","contributorId":189743,"corporation":false,"usgs":false,"family":"Wang","given":"Jin","email":"","affiliations":[],"preferred":false,"id":645016,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yuan, Hongming","contributorId":173534,"corporation":false,"usgs":false,"family":"Yuan","given":"Hongming","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":645017,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhao, Guangming","contributorId":173535,"corporation":false,"usgs":false,"family":"Zhao","given":"Guangming","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":645018,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ding, Xigui","contributorId":173536,"corporation":false,"usgs":false,"family":"Ding","given":"Xigui","email":"","affiliations":[{"id":27244,"text":"Qingdao Institute of Marine Geology, China","active":true,"usgs":false}],"preferred":false,"id":645019,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moss, Rebecca 0000-0002-7599-9758 mossr@usgs.gov","orcid":"https://orcid.org/0000-0002-7599-9758","contributorId":169722,"corporation":false,"usgs":true,"family":"Moss","given":"Rebecca","email":"mossr@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":645020,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70188567,"text":"70188567 - 2016 - Modeling streamflow from coupled airborne laser scanning and acoustic Doppler current profiler data","interactions":[],"lastModifiedDate":"2017-08-03T08:41:16","indexId":"70188567","displayToPublicDate":"2016-08-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5426,"text":"Hydrology Research","active":true,"publicationSubtype":{"id":10}},"title":"Modeling streamflow from coupled airborne laser scanning and acoustic Doppler current profiler data","docAbstract":"The rating curve enables the translation of water depth into stream discharge through a reference cross-section. This study investigates coupling national scale airborne laser scanning (ALS) and acoustic Doppler current profiler (ADCP) bathymetric survey data for generating stream rating curves. A digital terrain model was defined from these data and applied in a physically based 1-D hydraulic model to generate rating curves for a regularly monitored location in northern Sweden. Analysis of the ALS data showed that overestimation of the streambank elevation could be adjusted with a root mean square error (RMSE) block adjustment using a higher accuracy manual topographic survey. The results of our study demonstrate that the rating curve generated from the vertically corrected ALS data combined with ADCP data had lower errors (RMSE = 0.79 m3/s) than the empirical rating curve (RMSE = 1.13 m3/s) when compared to streamflow measurements. We consider these findings encouraging as hydrometric agencies can potentially leverage national-scale ALS and ADCP instrumentation to reduce the cost and effort required for maintaining and establishing rating curves at gauging station sites similar to the Röån River.
","language":"English","publisher":"IWA","doi":"10.2166/nh.2016.257","usgsCitation":"Norris, L., Kean, J.W., and Lyon, S., 2016, Modeling streamflow from coupled airborne laser scanning and acoustic Doppler current profiler data: Hydrology Research, v. 48, no. 4, p. 981-996, https://doi.org/10.2166/nh.2016.257.","productDescription":"16 p.","startPage":"981","endPage":"996","ipdsId":"IP-075690","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470677,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-135572","text":"External Repository"},{"id":342555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"59439c94e4b062508e31a9b8","contributors":{"authors":[{"text":"Norris, Lam","contributorId":192981,"corporation":false,"usgs":false,"family":"Norris","given":"Lam","email":"","affiliations":[],"preferred":false,"id":698369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyon, Steve","contributorId":192971,"corporation":false,"usgs":false,"family":"Lyon","given":"Steve","affiliations":[],"preferred":false,"id":698371,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175734,"text":"70175734 - 2016 - Analysis of hydrologic and geochemical time-series data at James Cave, Virginia: Implications for epikarst influence on recharge in Appalachian karst aquifers","interactions":[],"lastModifiedDate":"2016-08-31T11:05:08","indexId":"70175734","displayToPublicDate":"2016-08-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5198,"text":"Geological Society of America Special Papers ","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of hydrologic and geochemical time-series data at James Cave, Virginia: Implications for epikarst influence on recharge in Appalachian karst aquifers","docAbstract":"The epikarst, which consists of highly weathered rock in the upper vadose zone of exposed karst systems, plays a critical role in determining the hydrologic and geochemical characteristics of recharge to an underlying karst aquifer. This study utilized time series (2007–2014) of hydrologic and geochemical data of drip water collected within James Cave, Virginia, to examine the influence of epikarst on the quantity and quality of recharge in a mature, doline-dominated karst terrain. Results show a strong seasonality of both hydrology and geochemistry of recharge, which has implications for management of karst aquifers in temperate climatic zones. First, recharge (discharge from the epikarst to the underlying aquifer) reaches a maximum between late winter and early spring, with the onset of the recharge season ranging from as early as December to as late as March during the study period. The timing and duration of the recharge season were found to be a function of precipitation in excess of evapotranspiration on a seasonal time scale. Secondly, seasonally variable residence times for water in the epikarst influence rock-water interaction and, hence, the geochemical characteristics of recharge. Overall, results highlight the strong and complex influence that the epikarst has on karst recharge, which requires long-term and high-resolution data sets to accurately understand and quantify.
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,{"id":70207061,"text":"70207061 - 2016 - To manage inland fisheries is to manage at the social-ecological watershed scale","interactions":[],"lastModifiedDate":"2019-12-04T16:09:25","indexId":"70207061","displayToPublicDate":"2016-08-05T16:01:35","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"To manage inland fisheries is to manage at the social-ecological watershed scale","docAbstract":"Approaches to managing inland fisheries vary between systems and regions but are often based on large-scale marine fisheries principles and thus limited and outdated. Rarely do they adopt holistic approaches that consider the complex interplay among humans, fish, and the environment. We argue that there is an urgent need for a shift in inland fisheries management towards holistic and transdisciplinary approaches that embrace the principles of social-ecological systems at the watershed scale. The interconnectedness of inland fisheries with their associated watershed (biotic, abiotic, and humans) make them extremely complex and challenging to manage and protect. For this reason, the watershed is a logical management unit. To assist management at this scale, we propose a framework that integrates disparate concepts and management paradigms to facilitate inland fisheries management and sustainability. We contend that inland fisheries need to be managed as social-ecological watershed system (SEWS). The framework supports watershed-scale and transboundary governance to manage inland fisheries, and transdisciplinary projects and teams to ensure relevant and applicable monitoring and research. We discuss concepts of social-ecological feedback and interactions of multiple stressors and factors within/between the social-ecological systems. Moreover, we emphasize that management, monitoring, and research on inland fisheries at the watershed scale are needed to ensure long-term sustainable and resilient fisheries.
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