{"pageNumber":"1006","pageRowStart":"25125","pageSize":"25","recordCount":184689,"records":[{"id":70240666,"text":"70240666 - 2017 - Liquid hydrocarbon characterization of the lacustrine Yanchang Formation, Ordos Basin, China: Organic-matter source variation and thermal maturity","interactions":[],"lastModifiedDate":"2023-02-13T17:32:57.15834","indexId":"70240666","displayToPublicDate":"2017-03-16T11:04:06","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Liquid hydrocarbon characterization of the lacustrine Yanchang Formation, Ordos Basin, China: Organic-matter source variation and thermal maturity","docAbstract":"<p><span>Source-rock samples from the Upper Triassic Yanchang Formation in the Ordos Basin of China were geochemically characterized to determine variations in depositional environments, organic-matter (OM) source, and thermal maturity. Total organic carbon (TOC) content varies from 4&nbsp;wt% to 10&nbsp;wt% in the Chang 7, Chang 8, and Chang 9 members — the three OM-rich shale intervals. The Chang 7&nbsp;has the highest TOC and hydrogen index values, and it is considered the best source rock in the formation. Geochemical evidence indicates that the main sources of OM in the Yanchang Formation are freshwater lacustrine phytoplanktons, aquatic macrophytes, aquatic organisms, and land plants deposited under a weakly reducing to suboxic depositional environment. The elevated&nbsp;</span><span class=\"equationTd inline-formula\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><msub><mrow><mi mathvariant=&quot;normal&quot;>C</mi></mrow><mrow><mn>29</mn></mrow></msub></mrow></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"msub\"><span id=\"MathJax-Span-5\" class=\"mrow\"><span id=\"MathJax-Span-6\" class=\"mi\">C</span></span><sub><span id=\"MathJax-Span-7\" class=\"mrow\"><span id=\"MathJax-Span-8\" class=\"mn\">29</span></span></sub></span></span></span></span></span></span></span><span>&nbsp;sterane concentration and depleted&nbsp;</span><span class=\"equationTd inline-formula\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mi>&amp;#x3B4;</mi><mmultiscripts><mrow><mi mathvariant=&quot;normal&quot;>C</mi></mrow><mprescripts /><none /><mrow><mn>13</mn></mrow></mmultiscripts></mrow></math>\"><span id=\"MathJax-Span-9\" class=\"math\"><span><span id=\"MathJax-Span-10\" class=\"mrow\"><span id=\"MathJax-Span-11\" class=\"mrow\"><span id=\"MathJax-Span-12\" class=\"mi\"><i>δ</i><sup><span id=\"MathJax-Span-13\" class=\"mmultiscripts\"><span id=\"MathJax-Span-16\" class=\"mrow\"><span id=\"MathJax-Span-17\" class=\"mn\">13</span></span></span></sup></span><span id=\"MathJax-Span-13\" class=\"mmultiscripts\"><span id=\"MathJax-Span-14\" class=\"mrow\"><span id=\"MathJax-Span-15\" class=\"mi\">C</span></span></span></span></span></span></span></span></span><span>&nbsp;values of OM in the middle of the Chang 7 may indicate the presence of freshwater cyanobacteria blooms that corresponds to a period of maximum lake expansion. The OM deposited in deeper parts of the lake is dominated by oil-prone type I or type II kerogen or a mixture of both. The OM deposited in shallower settings is characterized by increased terrestrial input with a mixture of types II and III kerogen. These source rocks are in the oil window, with maturity increasing with burial depth. The measured solid-bitumen reflectance and calculated vitrinite reflectance from the temperature at maximum release of hydrocarbons occurs during Rock-Eval pyrolysis (</span><span class=\"equationTd inline-formula\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><msub><mrow><mi>T</mi></mrow><mrow><mi>max</mi></mrow></msub></mrow></math>\"><span id=\"MathJax-Span-18\" class=\"math\"><span><span id=\"MathJax-Span-19\" class=\"mrow\"><span id=\"MathJax-Span-20\" class=\"mrow\"><span id=\"MathJax-Span-21\" class=\"msub\"><span id=\"MathJax-Span-22\" class=\"mrow\"><span id=\"MathJax-Span-23\" class=\"mi\">T</span></span><sub><span id=\"MathJax-Span-24\" class=\"mrow\"><span id=\"MathJax-Span-25\" class=\"mi\">max</span></span></sub></span></span></span></span></span></span></span><span>) and the methylphenanthrene index (MPI-1) chemical maturity parameters range from 0.8 to&nbsp;</span><span class=\"equationTd inline-formula\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot;><mrow><mn>1.05</mn><mo>%</mo><msub><mrow><mi>R</mi></mrow><mrow><mi mathvariant=&quot;normal&quot;>o</mi></mrow></msub></mrow></math>\"><span id=\"MathJax-Span-26\" class=\"math\"><span><span id=\"MathJax-Span-27\" class=\"mrow\"><span id=\"MathJax-Span-28\" class=\"mrow\"><span id=\"MathJax-Span-29\" class=\"mn\">1.05</span><span id=\"MathJax-Span-30\" class=\"mo\">%</span><span id=\"MathJax-Span-31\" class=\"msub\"><i><span id=\"MathJax-Span-32\" class=\"mrow\"><span id=\"MathJax-Span-33\" class=\"mi\">R</span></span></i><sub><span id=\"MathJax-Span-34\" class=\"mrow\"><span id=\"MathJax-Span-35\" class=\"mi\">o</span></span></sub></span></span></span></span></span></span></span><span>. Because the thermal labilities of OM are associated with the kerogen type, the required thermal stress for oil generation from types I and II mixed kerogen has a higher and narrower range of temperature for hydrocarbon generation than that of OM dominated by type II kerogen or types II and III mixed kerogen deposited in the prodelta and delta front.</span></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/INT-2016-0114.1","usgsCitation":"Sun, X., Liang, Q., Jiang, C., Enriquez, D., Zhang, T., and Hackley, P.C., 2017, Liquid hydrocarbon characterization of the lacustrine Yanchang Formation, Ordos Basin, China: Organic-matter source variation and thermal maturity: Interpretation, v. 5, no. 2, p. SF225-SF242, https://doi.org/10.1190/INT-2016-0114.1.","productDescription":"18 p.","startPage":"SF225","endPage":"SF242","ipdsId":"IP-080912","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":413012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Ordos basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              106.5870850990571,\n              38.70214158956307\n            ],\n            [\n              105.95071843327491,\n              38.70214158956307\n            ],\n            [\n              105.95071843327491,\n              38.108031331385746\n            ],\n            [\n              106.5870850990571,\n              38.108031331385746\n            ],\n            [\n              106.5870850990571,\n              38.70214158956307\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sun, Xun","contributorId":289934,"corporation":false,"usgs":false,"family":"Sun","given":"Xun","affiliations":[],"preferred":false,"id":864204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liang, Quansheng","contributorId":302372,"corporation":false,"usgs":false,"family":"Liang","given":"Quansheng","email":"","affiliations":[],"preferred":false,"id":864205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jiang, Chengfu","contributorId":302373,"corporation":false,"usgs":false,"family":"Jiang","given":"Chengfu","email":"","affiliations":[],"preferred":false,"id":864206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enriquez, Daniel","contributorId":302374,"corporation":false,"usgs":false,"family":"Enriquez","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":864207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Tongwei","contributorId":256624,"corporation":false,"usgs":false,"family":"Zhang","given":"Tongwei","affiliations":[{"id":51809,"text":"Bureau of Economic Geology, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":864208,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":864209,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70180341,"text":"fs20173002 - 2017 - The U.S. Geological Survey Monthly Water Balance Model Futures Portal","interactions":[],"lastModifiedDate":"2017-03-16T12:27:20","indexId":"fs20173002","displayToPublicDate":"2017-03-16T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3002","title":"The U.S. Geological Survey Monthly Water Balance Model Futures Portal","docAbstract":"<p>Simulations of future climate suggest profiles of temperature and precipitation may differ significantly from those in the past. These changes in climate will likely lead to changes in the hydrologic cycle. As such, natural resource managers are in need of tools that can provide estimates of key components of the hydrologic cycle, uncertainty associated with the estimates, and limitations associated with the climate forcing data used to estimate these components. To help address this need, the U.S. Geological Survey Monthly Water Balance Model Futures Portal (<a href=\"https://my.usgs.gov/mows/\" data-mce-href=\"https://my.usgs.gov/mows/\">https://my.usgs.gov/mows/</a>) provides a user friendly interface to deliver hydrologic and meteorological variables for monthly historic and potential future climatic conditions across the continental United States.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173002","collaboration":"Prepared in cooperation with the U.S. Department of the Interior South Central Climate Science Center and the  U.S. Environmental Protection Agency","usgsCitation":"Bock, A.R., 2017, The U.S. Geological Survey Monthly Water Balance Model Futures Portal: U.S. Geological Survey Fact Sheet 2017–3002, 6 p., https://doi.org/10.3133/fs20173002.","productDescription":"6 p.","onlineOnly":"Y","ipdsId":"IP-073900","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":336957,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3002/fs20173002.pdf","text":"Report","size":"1.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3002"},{"id":336153,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3002/coverthb2.jpg"}],"contact":"<p>Director, USGS Colorado Water Science Center<br>U.S. Geological Survey<br>Box 25046, MS 415<br>Denver, CO 80225-0046</p><p><a href=\"http://co.water.usgs.gov/\" data-mce-href=\"http://co.water.usgs.gov/\">http://co.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>The Monthly Water Balance Model Futures Database and Portal</li><li>Mean Monthly—Historical Conditions</li><li>Annual Variability—Future Conditions</li><li>Mean Monthly and Seasonal Box Plots—Future Conditions</li><li>Subsetting Your Selected Climate Data</li><li>Acknowledgments</li><li>References</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-03-16","noUsgsAuthors":false,"publicationDate":"2017-03-16","publicationStatus":"PW","scienceBaseUri":"58cba417e4b0849ce97dc72c","contributors":{"authors":[{"text":"Bock, Andy 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":174776,"corporation":false,"usgs":true,"family":"Bock","given":"Andy","email":"abock@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":661287,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70185202,"text":"70185202 - 2017 - Influence of atmospheric rivers on vegetation productivity and fire patterns in the southwestern U.S.","interactions":[],"lastModifiedDate":"2017-03-16T12:43:27","indexId":"70185202","displayToPublicDate":"2017-03-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Influence of atmospheric rivers on vegetation productivity and fire patterns in the southwestern U.S.","docAbstract":"<p><span>In the southwestern U.S., the meteorological phenomenon known as atmospheric rivers (ARs) has gained increasing attention due to its strong connections to floods, snowpacks, and water supplies in the West Coast states. Relatively less is known about the ecological implications of ARs, particularly in the interior Southwest, where AR storms are less common. To address this gap, we compared a chronology of AR landfalls on the west coast between 1989 and 2011 and between 25°N and 42.5°N to annual metrics of the normalized difference vegetation index (NDVI; an indicator of vegetation productivity) and daily resolution precipitation data to assess influences of AR-fed winter precipitation on vegetation productivity across the southwestern U.S. We mapped correlations between winter AR precipitation during landfalling ARs and (1) annual maximum NDVI and (2) area burned by large wildfires summarized by ecoregion during the same year as the landfalls and during the following year. Interannual variations of AR precipitation strongly influenced both NDVI and area burned by wildfire in some dryland ecoregions. The influence of ARs on dryland vegetation varied significantly depending on the latitude of landfall, with those ARs making landfall below 35°N latitude more strongly influencing these systems, and with effects observed as far as 1300 km from the landfall location. As climatologists' understanding of the synoptic patterns associated with the occurrence of ARs continues to evolve, an increased understanding of how AR landfalls, in aggregate, influence vegetation productivity and associated wildfire activity in dryland ecosystems may provide opportunities to better predict ecological responses to climate and climate change.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016JG003608","usgsCitation":"Albano, C.M., Dettinger, M.D., and Soulard, C.E., 2017, Influence of atmospheric rivers on vegetation productivity and fire patterns in the southwestern U.S.: Journal of Geophysical Research: Biogeosciences, v. 122, no. 2, p. 308-323, https://doi.org/10.1002/2016JG003608.","productDescription":"16 p.","startPage":"308","endPage":"323","ipdsId":"IP-077664","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470005,"rank":0,"type":{"id":40,"text":"Open Access Publisher 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,{"id":70185204,"text":"70185204 - 2017 - Assessing the dietary bioavailability of metals associated with natural particles: Extending the use of the reverse labeling approach to zinc","interactions":[],"lastModifiedDate":"2017-03-16T12:37:27","indexId":"70185204","displayToPublicDate":"2017-03-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the dietary bioavailability of metals associated with natural particles: Extending the use of the reverse labeling approach to zinc","docAbstract":"<p><span>We extend the use of a novel tracing technique to quantify the bioavailability of zinc (Zn) associated with natural particles using snails enriched with a less common Zn stable isotope. </span><i>Lymnaea stagnalis</i><span> is a model species that has relatively fast Zn uptake rates from the dissolved phase, enabling their rapid enrichment in </span><sup>67</sup><span>Zn during the initial phase of labeling. Isotopically enriched snails were subsequently exposed to algae mixed with increasing amounts of metal-rich particles collected from two acid mine drainage impacted rivers. Zinc bioavailability from the natural particles was inferred from calculations of </span><sup>66</sup><span>Zn assimilation into the snail’s soft tissues. Zinc assimilation efficiency (AE) varied from 28% for the Animas River particles to 45% for the Snake River particles, indicating that particle-bound, or sorbed Zn, was bioavailable from acid mine drainage wastes. The relative binding strength of Zn sorption to the natural particles was inversely related to Zn bioavailability; a finding that would not have been possible without using the reverse labeling approach. Differences in the chemical composition of the particles suggest that their geochemical properties may influence the extent of Zn bioavailability.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b06253","usgsCitation":"Croteau, M.N., Cain, D.J., and Fuller, C.C., 2017, Assessing the dietary bioavailability of metals associated with natural particles: Extending the use of the reverse labeling approach to zinc: Environmental Science & Technology, v. 51, no. 5, p. 2803-2810, https://doi.org/10.1021/acs.est.6b06253.","productDescription":"8 p.","startPage":"2803","endPage":"2810","ipdsId":"IP-081847","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":337744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-22","publicationStatus":"PW","scienceBaseUri":"58cba419e4b0849ce97dc730","chorus":{"doi":"10.1021/acs.est.6b06253","url":"http://dx.doi.org/10.1021/acs.est.6b06253","publisher":"American Chemical Society (ACS)","authors":"Croteau Marie-Noële, Cain Daniel J., Fuller Christopher C.","journalName":"Environmental Science & Technology","publicationDate":"2/22/2017"},"contributors":{"authors":[{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":684722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":684724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":684723,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185000,"text":"70185000 - 2017 - Vertebrate paleontology, stratigraphy, and paleohydrology of Tule Springs Fossil Beds National Monument, Nevada (USA)","interactions":[],"lastModifiedDate":"2020-12-16T17:03:22.159494","indexId":"70185000","displayToPublicDate":"2017-03-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5321,"text":"Geology of the Intermountain West  ","active":true,"publicationSubtype":{"id":10}},"title":"Vertebrate paleontology, stratigraphy, and paleohydrology of Tule Springs Fossil Beds National Monument, Nevada (USA)","docAbstract":"<p>Tule Springs Fossil Beds National Monument (TUSK) preserves 22,650 acres of the upper Las Vegas Wash in the northern Las Vegas Valley (Nevada, USA). TUSK is home to extensive and stratigraphically complex groundwater discharge (GWD) deposits, called the Las Vegas Formation, which represent springs and desert wetlands that covered much of the valley during the late Quaternary. The GWD deposits record hydrologic changes that occurred here in a dynamic and temporally congruent response to abrupt climatic oscillations over the last ~300 ka (thousands of years). The deposits also entomb the Tule Springs Local Fauna (TSLF), one of the most significant late Pleistocene (Rancholabrean) vertebrate assemblages in the American Southwest. The TSLF is both prolific and diverse, and includes a large mammal assemblage dominated by Mammuthus columbi and Camelops hesternus. Two (and possibly three) distinct species of Equus, two species of Bison, Panthera atrox, Smilodon fatalis, Canis dirus, Megalonyx jeffersonii, and Nothrotheriops shastensis are also present, and newly recognized faunal components include micromammals, amphibians, snakes, and birds. Invertebrates, plant macrofossils, and pollen also occur in the deposits and provide important and complementary paleoenvironmental information. This field compendium highlights the faunal assemblage in the classic stratigraphic sequences of the Las Vegas Formation within TUSK, emphasizes the significant hydrologic changes that occurred in the area during the recent geologic past, and examines the subsequent and repeated effect of rapid climate change on the local desert wetland ecosystem.<br></p>","language":"English","publisher":"Utah Geological Association","doi":"10.31711/giw.v4.pp55-98","usgsCitation":"Springer, K.B., Pigati, J., and Scott, E., 2017, Vertebrate paleontology, stratigraphy, and paleohydrology of Tule Springs Fossil Beds National Monument, Nevada (USA): Geology of the Intermountain West  , v. 4, p. 55-98, https://doi.org/10.31711/giw.v4.pp55-98.","productDescription":"44 p.","startPage":"55","endPage":"98","ipdsId":"IP-077796","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31711/giw.v4.pp55-98","text":"Publisher Index Page"},{"id":337701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Tule Springs Fossil Beds National Monument","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.42167663574217,\n              36.25313319699069\n            ],\n            [\n              -115.02891540527344,\n              36.25313319699069\n            ],\n            [\n              -115.02891540527344,\n              36.4223874864237\n            ],\n            [\n              -115.42167663574217,\n              36.4223874864237\n            ],\n            [\n              -115.42167663574217,\n              36.25313319699069\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-07","publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc734","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":683888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffery S. jpigati@usgs.gov","contributorId":140289,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffery S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":683889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Eric","contributorId":127422,"corporation":false,"usgs":false,"family":"Scott","given":"Eric","email":"","affiliations":[],"preferred":false,"id":683890,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185237,"text":"70185237 - 2017 - A critical evaluation of the utility of eggshells for estimating mercury concentrations in avian eggs","interactions":[],"lastModifiedDate":"2017-08-27T18:31:47","indexId":"70185237","displayToPublicDate":"2017-03-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"A critical evaluation of the utility of eggshells for estimating mercury concentrations in avian eggs","docAbstract":"<p><span>Eggshells are a potential tool for non-lethally sampling contaminant concentrations in bird eggs, yet few studies have examined their utility to represent mercury exposure. We assessed mercury concentrations in eggshell components for 23 bird species and determined whether they correlated with total mercury (THg) in egg contents. We designed a multi-experiment analysis to examine how THg is partitioned into eggshell components, specifically hardened eggshells, material adhered to the eggshell, and inner eggshell membranes. THg concentrations in eggshells were much lower than in egg contents, and almost all of the THg within the eggshell was contained within material adhered to eggshells and inner eggshell membranes, and specifically not within calcium-rich hardened eggshells. Despite having very little mercury, THg concentrations in hardened eggshells had the strongest correlation with egg contents among all eggshell components. However, species with the same THg concentrations in eggshells had different THg concentrations in egg contents, indicating that there is no global predictive equation among species for the relationship between eggshell and egg content THg concentrations. Further, for all species, THg concentrations in eggshells decreased with relative embryo age. Although the majority of mercury in eggshells was contained within other eggshell components and not within hardened eggshells, THg in hardened eggshells can be used to estimate THg concentrations in egg contents, if embryo age and species are addressed.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.3777","usgsCitation":"Peterson, S.H., Ackerman, J., Eagles-Smith, C.A., Hartman, C.A., and Herzog, M.P., 2017, A critical evaluation of the utility of eggshells for estimating mercury concentrations in avian eggs: Environmental Toxicology and Chemistry, v. 36, no. 9, p. 2417-2427, https://doi.org/10.1002/etc.3777.","productDescription":"11 p.","startPage":"2417","endPage":"2427","ipdsId":"IP-082537","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":337759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-28","publicationStatus":"PW","scienceBaseUri":"58cba418e4b0849ce97dc72e","contributors":{"authors":[{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":684826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":684825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":684827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131109,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":684828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131110,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":684829,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184972,"text":"70184972 - 2017 - Identifying small depressional wetlands and using a topographic position index to infer hydroperiod regimes for pond-breeding amphibians","interactions":[],"lastModifiedDate":"2017-04-19T16:08:29","indexId":"70184972","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Identifying small depressional wetlands and using a topographic position index to infer hydroperiod regimes for pond-breeding amphibians","docAbstract":"Small, seasonal pools and temporary ponds (<4.0 ha) are the most numerous and biologically diverse wetlands in many natural landscapes. Thus, accurate determination of their numbers and spatial characteristics is beneficial for conservation and management of biodiversity associated with these freshwater systems. We examined the utility of a topographic position index (TPI) landscape classification to identify and classify depressional wetlands. We also assessed relationships between topographic characteristics and ponded duration of known wetlands to allow hydrological characteristics to be extended to non-monitored locations in similar landscapes. Our results indicate that this approach was successful at identifying wetlands, but did have higher errors of commission (10%) than omission (5%). Additionally, the TPI procedure provided a reasonable means to correlate general ponded duration characteristics (long/short) with wetland topography. Although results varied by hydrologic class, permanent/long ponded duration wetlands were more often classified correctly (80%) than were short ponded duration wetlands (67%). However, classification results were improved to 100 and 75% for permanent/long and short ponded duration wetlands, respectively, by removing wetlands occurring on an abrupt marine terrace that erroneously inflated pond topographic characteristics. Our study presents an approach for evaluating wetland suitability for species or guilds that are associated with key habitat characteristics, such as hydroperiod.","language":"English","publisher":"Springer","doi":"10.1007/s13157-016-0872-2","usgsCitation":"Riley, J.W., Calhoun, D.L., Barichivich, W.J., and Walls, S.C., 2017, Identifying small depressional wetlands and using a topographic position index to infer hydroperiod regimes for pond-breeding amphibians: Wetlands, v. 37, no. 2, p. 325-338, https://doi.org/10.1007/s13157-016-0872-2.","productDescription":"14 p.","startPage":"325","endPage":"338","ipdsId":"IP-068981","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":337606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-07","publicationStatus":"PW","scienceBaseUri":"58ca52c9e4b0849ce97c868a","chorus":{"doi":"10.1007/s13157-016-0872-2","url":"http://dx.doi.org/10.1007/s13157-016-0872-2","publisher":"Springer Nature","authors":"Riley Jeffrey W., Calhoun Daniel L., Barichivich William J., Walls Susan C.","journalName":"Wetlands","publicationDate":"1/7/2017","auditedOn":"2/15/2017","publiclyAccessibleDate":"1/7/2017"},"contributors":{"authors":[{"text":"Riley, Jeffrey W. 0000-0001-5525-3134 jriley@usgs.gov","orcid":"https://orcid.org/0000-0001-5525-3134","contributorId":3605,"corporation":false,"usgs":true,"family":"Riley","given":"Jeffrey","email":"jriley@usgs.gov","middleInitial":"W.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":683776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":683777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barichivich, William J. 0000-0003-1103-6861 wbarichivich@usgs.gov","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":3697,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","email":"wbarichivich@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":683778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":2310,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":683779,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185163,"text":"70185163 - 2017 - Assessing the influence of sustainable trail design and maintenance on soil loss","interactions":[],"lastModifiedDate":"2017-03-15T16:04:40","indexId":"70185163","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","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":"Assessing the influence of sustainable trail design and maintenance on soil loss","docAbstract":"<p><span>Natural-surfaced trail systems are an important infrastructure component providing a means for accessing remote protected natural area destinations. The condition and usability of trails is a critical concern of land managers charged with providing recreational access while preserving natural conditions, and to visitors seeking high quality recreational opportunities and experiences. While an adequate number of trail management publications provide prescriptive guidance for designing, constructing, and maintaining natural-surfaced trails, surprisingly little research has been directed at providing a scientific basis for this guidance. Results from a review of the literature and three scientific studies are presented to model and clarify the influence of factors that substantially influence trail soil loss and that can be manipulated by trail professionals to sustain high traffic while minimizing soil loss over time. Key factors include trail grade, slope alignment angle, tread drainage features, and the amount of rock in tread substrates. A new Trail Sustainability Rating is developed and offered as a tool for evaluating or improving the sustainability of existing or new trails.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.11.074","usgsCitation":"Marion, J.L., and Wimpey, J., 2017, Assessing the influence of sustainable trail design and maintenance on soil loss: Journal of Environmental Management, v. 189, p. 46-57, https://doi.org/10.1016/j.jenvman.2016.11.074.","productDescription":"12 p.","startPage":"46","endPage":"57","ipdsId":"IP-077133","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":461697,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.11.074","text":"Publisher Index Page"},{"id":337667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"189","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52c6e4b0849ce97c867a","contributors":{"authors":[{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":684572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wimpey, Jeremy","contributorId":189354,"corporation":false,"usgs":false,"family":"Wimpey","given":"Jeremy","affiliations":[],"preferred":false,"id":684573,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185136,"text":"70185136 - 2017 - Operational shoreline mapping with high spatial resolution radar and geographic processing","interactions":[],"lastModifiedDate":"2017-03-15T16:54:23","indexId":"70185136","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","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":"Operational shoreline mapping with high spatial resolution radar and geographic processing","docAbstract":"<p><span>A comprehensive mapping technology was developed utilizing standard image processing and available </span><small>GIS&nbsp;</small><span>procedures to automate shoreline identification and mapping from 2 m synthetic aperture radar (</span><small>SAR</small><span>) </span><small>HH&nbsp;</small><span>amplitude data. The development used four </span><small>NASA</small><span> Uninhabited Aerial Vehicle SAR (</span><small>UAVSAR</small><span>) data collections between summer 2009 and 2012 and a fall 2012 collection of wetlands dominantly fronted by vegetated shorelines along the Mississippi River Delta that are beset by severe storms, toxic releases, and relative sea-level rise. In comparison to shorelines interpreted from 0.3 m and 1 m orthophotography, the automated </span><small>GIS</small><span> 10 m alongshore sampling found </span><small>SAR</small><span> shoreline mapping accuracy to be ±2 m, well within the lower range of reported shoreline mapping accuracies. The high comparability was obtained even though water levels differed between the </span><small>SAR</small><span> and photography image pairs and included all shorelines regardless of complexity. The </span><small>SAR</small><span> mapping technology is highly repeatable and extendable to other </span><small>SAR</small><span> instruments with similar operational functionality.</span></p>","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.83.3.237","usgsCitation":"Rangoonwala, A., Jones, C., Chi, Z., and Ramsey, E.W., 2017, Operational shoreline mapping with high spatial resolution radar and geographic processing: Photogrammetric Engineering and Remote Sensing, v. 83, no. 3, p. 237-246, https://doi.org/10.14358/PERS.83.3.237.","productDescription":"10 p.","startPage":"237","endPage":"246","ipdsId":"IP-074986","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.83.3.237","text":"Publisher Index Page"},{"id":337621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52c6e4b0849ce97c867e","contributors":{"authors":[{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":684481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Cathleen E","contributorId":189314,"corporation":false,"usgs":false,"family":"Jones","given":"Cathleen E","affiliations":[],"preferred":false,"id":684482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chi, Zhaohui","contributorId":189315,"corporation":false,"usgs":false,"family":"Chi","given":"Zhaohui","email":"","affiliations":[],"preferred":false,"id":684483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796 ramseye@usgs.gov","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":2883,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah","suffix":"III","email":"ramseye@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":684484,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189745,"text":"70189745 - 2017 - Chronic toxicity of azoxystrobin to freshwater amphipods, midges, cladocerans, and mussels in water-only exposures","interactions":[],"lastModifiedDate":"2017-08-27T18:07:22","indexId":"70189745","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Chronic toxicity of azoxystrobin to freshwater amphipods, midges, cladocerans, and mussels in water-only exposures","docAbstract":"<p><span>Understanding the effects of fungicides on nontarget organisms at realistic concentrations and exposure durations is vital for determining potential impacts on aquatic ecosystems. Environmental concentrations of the fungicide azoxystrobin have been reported up to 4.6 μg/L in the United States and 30 μg/L in Europe. The objective of the present study was to evaluate the chronic toxicity of azoxystrobin in water-only exposures with an amphipod (</span><i>Hyalella azteca</i><span>; 42-d exposure), a midge (</span><i>Chironomus dilutus</i><span>; 50-d exposure), a cladoceran (</span><i>Ceriodaphnia dubia</i><span>; 7-d exposure), and a unionid mussel (</span><i>Lampsilis siliquoidea</i><span>; 28-d exposure) at environmentally relevant concentrations. The potential photo-enhanced toxicity of azoxystrobin accumulated by<span>&nbsp;</span></span><i>C. dubia</i><span>and<span>&nbsp;</span></span><i>L. siliquoidea</i><span><span>&nbsp;</span>following chronic exposures to azoxystrobin was also evaluated. The 20% effect concentrations (EC20s) based on the most sensitive endpoint were 4.2 μg/L for<span>&nbsp;</span></span><i>H. azteca</i><span>reproduction, 12 μg/L for<span>&nbsp;</span></span><i>C. dubia</i><span><span>&nbsp;</span>reproduction and<span>&nbsp;</span></span><i>C. dilutus</i><span><span>&nbsp;</span>emergence, and &gt;28 μg/L for<span>&nbsp;</span></span><i>L. siliquoidea</i><span>.<span>&nbsp;</span></span><i>Hyalella azteca</i><span><span>&nbsp;</span>was more sensitive to azoxystrobin compared with the other 3 species in the chronic exposures. No photo-enhanced toxicity was observed for either<span>&nbsp;</span></span><i>C. dubia</i><span><span>&nbsp;</span>or<span>&nbsp;</span></span><i>L. siliquoidea</i><span><span>&nbsp;</span>exposed to ultraviolet light in control water following azoxystrobin tests. The results of the present study indicate chronic effects of azoxystrobin on 3 of 4 invertebrates tested at environmentally relevant concentrations. The changes noted in biomass and reproduction have the potential to alter the rate of ecological processes driven by aquatic invertebrates.<span>&nbsp;</span></span><i>Environ Toxicol Chem</i><span><span>&nbsp;</span>2017;9999:1–8. Published 2017 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.</span></p>","language":"English","publisher":"SETAC PRESS","doi":"10.1002/etc.3764","usgsCitation":"Kunz, J.L., Ingersoll, C.G., Smalling, K.L., Elskus, A., and Kuivila, K., 2017, Chronic toxicity of azoxystrobin to freshwater amphipods, midges, cladocerans, and mussels in water-only exposures: Environmental Toxicology and Chemistry, v. 36, no. 9, p. 2308-2315, https://doi.org/10.1002/etc.3764.","productDescription":"8 p. ","startPage":"2308","endPage":"2315","ipdsId":"IP-071621","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":344235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"9","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-09","publicationStatus":"PW","scienceBaseUri":"5977074de4b0ec1a48889f5a","contributors":{"authors":[{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":706104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":706105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":190789,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","email":"ksmall@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elskus, Adria 0000-0003-1192-5124 aelskus@usgs.gov","orcid":"https://orcid.org/0000-0003-1192-5124","contributorId":130,"corporation":false,"usgs":true,"family":"Elskus","given":"Adria","email":"aelskus@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":190790,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191302,"text":"70191302 - 2017 - Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure","interactions":[],"lastModifiedDate":"2017-10-03T16:34:40","indexId":"70191302","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure","docAbstract":"<p><span>Measuring post-fire effects at landscape scales is critical to an ecological understanding of wildfire effects. Predominantly this is accomplished with either multi-spectral remote sensing data or through ground-based field sampling plots. While these methods are important, field data is usually limited to opportunistic post-fire observations, and spectral data often lacks validation with specific variables of change. Additional uncertainty remains regarding how best to account for environmental variables influencing fire effects (e.g., weather) for which observational data cannot easily be acquired, and whether pre-fire agents of change such as bark beetle and timber harvest impact model accuracy. This study quantifies wildfire effects by correlating changes in forest structure derived from multi-temporal Light Detection and Ranging (LiDAR) acquisitions to multi-temporal spectral changes captured by the Landsat Thematic Mapper and Operational Land Imager for the 2012 Pole Creek Fire in central Oregon. Spatial regression modeling was assessed as a methodology to account for spatial autocorrelation, and model consistency was quantified across areas impacted by pre-fire mountain pine beetle and timber harvest. The strongest relationship (pseudo-r</span><sup>2</sup><span>&nbsp;=&nbsp;0.86, p&nbsp;&lt;&nbsp;0.0001) was observed between the ratio of shortwave infrared and near infrared reflectance (d74) and LiDAR-derived estimate of canopy cover change. Relationships between percentage of LiDAR returns in forest strata and spectral indices generally increased in strength with strata height. Structural measurements made closer to the ground were not well correlated. The spatial regression approach improved all relationships, demonstrating its utility, but model performance declined across pre-fire agents of change, suggesting that such studies should stratify by pre-fire forest condition. This study establishes that spectral indices such as d74 and dNBR are most sensitive to wildfire-caused structural changes such as reduction in canopy cover and perform best when that structure has not been reduced pre-fire.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.12.022","usgsCitation":"McCarley, T.R., Kolden, C.A., Vaillant, N.M., Hudak, A.T., Smith, A., Wing, B.M., Kellogg, B., and Kreitler, J.R., 2017, Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure: Remote Sensing of Environment, v. 191, p. 419-432, https://doi.org/10.1016/j.rse.2016.12.022.","productDescription":"14 p.","startPage":"419","endPage":"432","ipdsId":"IP-076180","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.12.022","text":"Publisher Index Page"},{"id":346371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Pole Creek Fire","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.75,\n              44.0833\n            ],\n            [\n              -121.5,\n              44.0833\n            ],\n            [\n              -121.5,\n              44.25\n            ],\n            [\n              -121.75,\n              44.25\n            ],\n            [\n              -121.75,\n              44.0833\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"191","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1a9e4b05fe04cc4e0ff","contributors":{"authors":[{"text":"McCarley, T. Ryan","contributorId":196908,"corporation":false,"usgs":false,"family":"McCarley","given":"T.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":711897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolden, Crystal A.","contributorId":196909,"corporation":false,"usgs":false,"family":"Kolden","given":"Crystal","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaillant, Nicole M.","contributorId":196237,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":711899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudak, Andrew T.","contributorId":196022,"corporation":false,"usgs":false,"family":"Hudak","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":711900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Alistair","contributorId":196910,"corporation":false,"usgs":false,"family":"Smith","given":"Alistair","email":"","affiliations":[],"preferred":false,"id":711901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wing, Brian M.","contributorId":196911,"corporation":false,"usgs":false,"family":"Wing","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":711902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kellogg, Bryce","contributorId":196912,"corporation":false,"usgs":false,"family":"Kellogg","given":"Bryce","email":"","affiliations":[],"preferred":false,"id":711903,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":711896,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70189965,"text":"70189965 - 2017 - A synthesis of thermokarst lake water balance in high-latitude regions of North America from isotope tracers","interactions":[],"lastModifiedDate":"2017-07-31T07:38:16","indexId":"70189965","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5363,"text":"Arctic Science","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of thermokarst lake water balance in high-latitude regions of North America from isotope tracers","docAbstract":"<p><span>Numerous studies utilizing remote sensing imagery and other methods have documented that thermokarst lakes are undergoing varied hydrological transitions in response to recent climate changes, from surface area expansion to drainage and evaporative desiccation. Here, we provide a synthesis of hydrological conditions for 376 lakes of mainly thermokarst origin across high-latitude North America. We assemble surface water isotope compositions measured during the past decade at five lake-rich landscapes including Arctic Coastal Plain (Alaska), Yukon Flats (Alaska), Old Crow Flats (Yukon), northwestern Hudson Bay Lowlands (Manitoba), and Nunavik (Quebec). These landscapes represent the broad range of thermokarst environments by spanning gradients in meteorological, permafrost, and vegetation conditions. An isotope framework was established based on flux-weighted long-term averages of meteorological conditions for each lake to quantify water balance metrics. The isotope composition of source water and evaporation-to-inflow ratio for each lake were determined, and the results demonstrated a substantial array of regional and subregional diversity of lake hydrological conditions. Controls on lake water balance and how these vary among the five landscapes and with differing environmental drivers are assessed. Findings reveal that lakes in the Hudson Bay Lowlands are most vulnerable to evaporative desiccation, whereas those in Nunavik are most resilient. However, we also identify the complexity in predicting hydrological responses of these thermokarst landscapes to future climate change.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/AS-2016-0019","usgsCitation":"MacDonald, L.A., Wolfe, B.B., Turner, K.W., Anderson, L., Arp, C.D., Birks, J., Bouchard, F., Edwards, T.W., Farquharson, N., Hall, R.I., McDonald, I., Narancic, B., Ouimet, C., Pienitz, R., Tondu, J., and White, H., 2017, A synthesis of thermokarst lake water balance in high-latitude regions of North America from isotope tracers: Arctic Science, v. 3, no. 2, p. 118-149, https://doi.org/10.1139/AS-2016-0019.","productDescription":"32 p.","startPage":"118","endPage":"149","ipdsId":"IP-076403","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/as-2016-0019","text":"Publisher Index Page"},{"id":344447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5980419ae4b0a38ca2789339","contributors":{"authors":[{"text":"MacDonald, Lauren A.","contributorId":195378,"corporation":false,"usgs":false,"family":"MacDonald","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolfe, Brent B.","contributorId":172516,"corporation":false,"usgs":false,"family":"Wolfe","given":"Brent","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":706911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Kevin W.","contributorId":195380,"corporation":false,"usgs":false,"family":"Turner","given":"Kevin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":706912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":706909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":706913,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Birks, Jean","contributorId":87856,"corporation":false,"usgs":true,"family":"Birks","given":"Jean","email":"","affiliations":[],"preferred":false,"id":706914,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bouchard, Frederic","contributorId":194639,"corporation":false,"usgs":false,"family":"Bouchard","given":"Frederic","email":"","affiliations":[],"preferred":false,"id":706915,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Edwards, Thomas W.D. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":195384,"corporation":false,"usgs":false,"family":"Edwards","given":"Thomas","email":"tce@usgs.gov","middleInitial":"W.D.","affiliations":[],"preferred":false,"id":706916,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Farquharson, Nicole","contributorId":195385,"corporation":false,"usgs":false,"family":"Farquharson","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":706917,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hall, Roland I.","contributorId":168744,"corporation":false,"usgs":false,"family":"Hall","given":"Roland","email":"","middleInitial":"I.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":706918,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McDonald, Ian","contributorId":195387,"corporation":false,"usgs":false,"family":"McDonald","given":"Ian","email":"","affiliations":[],"preferred":false,"id":706919,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Narancic, Biljana","contributorId":195388,"corporation":false,"usgs":false,"family":"Narancic","given":"Biljana","email":"","affiliations":[],"preferred":false,"id":706920,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ouimet, Chantal","contributorId":195389,"corporation":false,"usgs":false,"family":"Ouimet","given":"Chantal","email":"","affiliations":[],"preferred":false,"id":706921,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pienitz, Reinhard","contributorId":195390,"corporation":false,"usgs":false,"family":"Pienitz","given":"Reinhard","email":"","affiliations":[],"preferred":false,"id":706922,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tondu, Jana","contributorId":195391,"corporation":false,"usgs":false,"family":"Tondu","given":"Jana","email":"","affiliations":[],"preferred":false,"id":706923,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"White, Hilary","contributorId":195392,"corporation":false,"usgs":false,"family":"White","given":"Hilary","email":"","affiliations":[],"preferred":false,"id":706924,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70185166,"text":"70185166 - 2017 - The effect of wet-dry weathering on the rate of bedrock river channel erosion by saltating gravel","interactions":[],"lastModifiedDate":"2017-03-15T16:03:20","indexId":"70185166","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"The effect of wet-dry weathering on the rate of bedrock river channel erosion by saltating gravel","docAbstract":"<p><span>Previous work has shown that the bedrock erosion rate </span><i>E</i><span> because of collisions of saltating bedload can be expressed by </span><i>E</i><span>&nbsp;=&nbsp;</span><i>βq</i><sub><i>b</i></sub><span>(1-</span><i>P</i><sub><i>c</i></sub><span>), where </span><i>q</i><sub><i>b</i></sub><span> is the sediment transport rate, </span><i>P</i><sub><i>c</i></sub><span> is the extent of alluvial cover, and </span><i>β</i><span> is the abrasion coefficient. However, the dependence of the abrasion coefficient on the physical characteristics of the bedrock material is poorly known, and in particular, the effects of wet-dry weathering on the saltation-abrasion bedrock incision has not been specifically characterized. Observation suggests that the typical wet-dry cycling of exposed bedrock in river beds gives rise to cracks and voids that are likely to alter the incision rate of the material when subjected to impacts of moving sediment. In this study, flume experiments are performed to develop an understanding of how wet-dry cycling affects the rock tensile strength and the bedrock erosion rate. To represent the physical effects of weathering, boring cores taken from natural bedrock channel are exposed to artificial wet-dry cycles. The experimental results suggest the following: (1) the abrasion coefficient for fresh bedrock is estimated by </span><i>β</i><span>&nbsp;=&nbsp;1.0&nbsp;×&nbsp;10</span><sup>−&nbsp;4</sup><i>σ</i><sub><i>T</i></sub><sup>−&nbsp;2</sup><span>(</span><i>d</i><span>/</span><i>k</i><sub><i>sb</i></sub><span>)</span><sup>0.5</sup><span>, where </span><i>σ</i><sub><i>T</i></sub><span> is the tensile strength, </span><i>d</i><span> is the diameter of colliding gravel, and </span><i>k</i><sub>sb</sub><span> is the hydraulic roughness height of bedrock; (2) the tensile strength of the bedrock decreases exponentially as a result of repeated wet-dry cycles, </span><i>σ</i><sub><i>T</i></sub><i>/σ</i><sub><i>T</i>0</sub><span>&nbsp;=&nbsp;exp (-</span><i>C</i><sub><i>T</i></sub><i>NW</i><sub><i>a</i>0</sub><span>/σ</span><sub><i>T</i>0</sub><span>), where </span><i>σ</i><sub><i>T</i>0</sub><span> is the initial tensile strength, </span><i>W</i><sub><i>a</i>0</sub><span> is the initial normalized rate of water absorption., </span><i>N</i><span> is the number of wet-dry cycles, and </span><i>C</i><sub><i>T</i></sub><span> is a constant; (3) the erosion rate of fresh bedrock depends on the inverse of the square of tensile strength, but the erosion rate of weathered bedrock depends on the −&nbsp;1.5 power of tensile strength.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2017.02.018","usgsCitation":"Inoue, T., Yamaguchi, S., and Nelson, J.M., 2017, The effect of wet-dry weathering on the rate of bedrock river channel erosion by saltating gravel: Geomorphology, v. 285, p. 152-161, https://doi.org/10.1016/j.geomorph.2017.02.018.","productDescription":"10 p.","startPage":"152","endPage":"161","ipdsId":"IP-080142","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":337666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"285","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52c4e4b0849ce97c8678","contributors":{"authors":[{"text":"Inoue, Takuya","contributorId":173794,"corporation":false,"usgs":false,"family":"Inoue","given":"Takuya","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":684577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yamaguchi, Satomi","contributorId":189359,"corporation":false,"usgs":false,"family":"Yamaguchi","given":"Satomi","email":"","affiliations":[],"preferred":false,"id":684578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":684576,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184968,"text":"70184968 - 2017 - Citizen science can improve conservation science, natural resource management, and environmental protection","interactions":[],"lastModifiedDate":"2017-07-12T15:31:14","indexId":"70184968","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Citizen science can improve conservation science, natural resource management, and environmental protection","docAbstract":"<p id=\"sp0030\">Citizen science has advanced science for hundreds of years, contributed to many peer-reviewed articles, and informed land management decisions and policies across the United States. Over the last 10&nbsp;years, citizen science has grown immensely in the United States and many other countries. Here, we show how citizen science is a powerful tool for tackling many of the challenges faced in the field of conservation biology. We describe the two interwoven paths by which citizen science can improve conservation efforts, natural resource management, and environmental protection. The first path includes building scientific knowledge, while the other path involves informing policy and encouraging public action. We explore how citizen science is currently used and describe the investments needed to create a citizen science program. We find that:</p><dl id=\"list_l0005\" class=\"listitem\"><ol><li>Citizen science already contributes substantially to many domains of science, including conservation, natural resource, and environmental science. Citizen science informs natural resource management, environmental protection, and policymaking and fosters public input and engagement.</li><li>Many types of projects can benefit from citizen science, but one must be careful to match the needs for science and public involvement with the right type of citizen science project and the right method of public participation.</li><li>Citizen science is a rigorous process of scientific discovery, indistinguishable from conventional science apart from the participation of volunteers. When properly designed, carried out, and evaluated, citizen science can provide sound science, efficiently generate high-quality data, and help solve problems.</li></ol></dl>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.05.015","usgsCitation":"McKinley, D.C., Miller-Rushing, A.J., Ballard, H.L., Bonney, R., Brown, H., Cook-Patton, S.C., Evans, D.M., French, R.A., Parrish, J., Phillips, T.B., Ryan, S.F., Shanley, L.A., Shirk, J.L., Stepenuck, K.F., Weltzin, J.F., Wiggins, A., Boyle, O.D., Briggs, R.D., Chapin, S.F., Hewitt, D.A., Preuss, P.W., and Soukup, M.A., 2017, Citizen science can improve conservation science, natural resource management, and environmental protection: Biological Conservation, v. 208, p. 15-28, https://doi.org/10.1016/j.biocon.2016.05.015.","productDescription":"14 p.","startPage":"15","endPage":"28","ipdsId":"IP-068708","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":470009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2016.05.015","text":"Publisher Index Page"},{"id":337611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"208","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52c9e4b0849ce97c868c","contributors":{"authors":[{"text":"McKinley, Duncan C.","contributorId":149649,"corporation":false,"usgs":false,"family":"McKinley","given":"Duncan","email":"","middleInitial":"C.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":683748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller-Rushing, Abe J.","contributorId":189062,"corporation":false,"usgs":false,"family":"Miller-Rushing","given":"Abe","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballard, Heidi L.","contributorId":149651,"corporation":false,"usgs":false,"family":"Ballard","given":"Heidi","email":"","middleInitial":"L.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":683750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonney, Rick","contributorId":112611,"corporation":false,"usgs":false,"family":"Bonney","given":"Rick","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":683751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Hutch","contributorId":149653,"corporation":false,"usgs":false,"family":"Brown","given":"Hutch","email":"","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":683752,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook-Patton, Susan C.","contributorId":189063,"corporation":false,"usgs":false,"family":"Cook-Patton","given":"Susan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":683753,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evans, Daniel M.","contributorId":149654,"corporation":false,"usgs":false,"family":"Evans","given":"Daniel","email":"","middleInitial":"M.","affiliations":[{"id":17680,"text":"AAAS Science & Technology Policy Fellow/NASA","active":true,"usgs":false}],"preferred":false,"id":683754,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"French, Rebecca A.","contributorId":149655,"corporation":false,"usgs":false,"family":"French","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":683768,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parrish, Julia","contributorId":189064,"corporation":false,"usgs":false,"family":"Parrish","given":"Julia","affiliations":[],"preferred":false,"id":683755,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Phillips, Tina B.","contributorId":149656,"corporation":false,"usgs":false,"family":"Phillips","given":"Tina","email":"","middleInitial":"B.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":683756,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ryan, Sean F.","contributorId":149657,"corporation":false,"usgs":false,"family":"Ryan","given":"Sean","email":"","middleInitial":"F.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":683757,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shanley, Lea A.","contributorId":149658,"corporation":false,"usgs":false,"family":"Shanley","given":"Lea","email":"","middleInitial":"A.","affiliations":[{"id":17773,"text":"Wilson Center","active":true,"usgs":false}],"preferred":false,"id":683758,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shirk, Jennifer L.","contributorId":149659,"corporation":false,"usgs":false,"family":"Shirk","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":683759,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stepenuck, Kristine F.","contributorId":149660,"corporation":false,"usgs":false,"family":"Stepenuck","given":"Kristine","email":"","middleInitial":"F.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":683760,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Weltzin, Jake F. 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":189061,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","middleInitial":"F.","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":683747,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wiggins, Andrea","contributorId":149661,"corporation":false,"usgs":false,"family":"Wiggins","given":"Andrea","email":"","affiliations":[{"id":17774,"text":"U New Mexico","active":true,"usgs":false}],"preferred":false,"id":683761,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Boyle, Owen D.","contributorId":149662,"corporation":false,"usgs":false,"family":"Boyle","given":"Owen","email":"","middleInitial":"D.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":683762,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Briggs, Russell D.","contributorId":149663,"corporation":false,"usgs":false,"family":"Briggs","given":"Russell","email":"","middleInitial":"D.","affiliations":[{"id":6650,"text":"SUNY - Brockport","active":true,"usgs":false}],"preferred":false,"id":683763,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Chapin, Stuart F. III","contributorId":189065,"corporation":false,"usgs":false,"family":"Chapin","given":"Stuart","suffix":"III","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":683764,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hewitt, David A.","contributorId":189066,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":683765,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Preuss, Peter W.","contributorId":149665,"corporation":false,"usgs":false,"family":"Preuss","given":"Peter","email":"","middleInitial":"W.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":683766,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Soukup, Michael A.","contributorId":149666,"corporation":false,"usgs":false,"family":"Soukup","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":683767,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70185114,"text":"70185114 - 2017 - Effects of food web changes on Mysis diluviana diet in Lake Ontario","interactions":[],"lastModifiedDate":"2017-09-11T12:58:00","indexId":"70185114","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of food web changes on <i>Mysis diluviana</i> diet in Lake Ontario","title":"Effects of food web changes on Mysis diluviana diet in Lake Ontario","docAbstract":"<p><span>Mysids are important benthic-pelagic omnivores in many deep-lake food webs, yet quantitative data on their diet are limited. We explored the trophic role of </span><i>Mysis diluviana</i><span> in offshore Lake Ontario using samples collected in May, July, and September 2013 with a focus on seasonal and ontogenetic patterns in herbivory and zooplanktivory using two approaches. We hypothesized that </span><i>Mysis</i><span> diet in 2013 differs from the last investigation in 1995 in response to changes in pelagic prey over 1995 to 2013. Gut fluorescence indicated high grazing by adult and juvenile </span><i>Mysis</i><span> in May 2013. In July, smaller mysids were more herbivorous than larger individuals, a pattern that was less pronounced in September. Microscopic gut analysis showed copepods, including </span><i>Limnocalanus</i><span>, were common in diets of both size groups in May. In July, mainly cladocerans were consumed, including </span><i>Cercopagis pengoi</i><span> which represents a change from a past investigation that preceded </span><i>Cercopagis</i><span> invasion in the lake. Our results are consistent with earlier observations of a larger proportion of algae in mysid diets in spring, transitioning to relatively more zooplanktivory and use of cladocerans in the summer and fall. Higher chlorophyll content in small mysids in July than in September may be associated with the presence of a deep chlorophyll layer in July that had largely dissipated by September. Overall, </span><i>Mysis</i><span> in Lake Ontario continues to be a generalist omnivore, incorporating new prey items and exhibiting higher herbivory in spring.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.02.003","usgsCitation":"O'Malley, B., Rudstam, L.G., Watkins, J.M., Holda, T., and Weidel, B., 2017, Effects of food web changes on Mysis diluviana diet in Lake Ontario: Journal of Great Lakes Research, v. 43, no. 5, p. 813-822, https://doi.org/10.1016/j.jglr.2017.02.003.","productDescription":"10 p.","startPage":"813","endPage":"822","ipdsId":"IP-078124","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470010,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.02.003","text":"Publisher Index Page"},{"id":337591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.9530029296875,\n              43.20917969039356\n            ],\n            [\n              -76.102294921875,\n              43.20917969039356\n            ],\n            [\n              -76.102294921875,\n              44.19795903948531\n            ],\n            [\n              -79.9530029296875,\n              44.19795903948531\n            ],\n            [\n              -79.9530029296875,\n              43.20917969039356\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52c8e4b0849ce97c8686","contributors":{"authors":[{"text":"O'Malley, Brian P.","contributorId":189285,"corporation":false,"usgs":false,"family":"O'Malley","given":"Brian P.","affiliations":[],"preferred":false,"id":684393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":684394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, James M.","contributorId":189286,"corporation":false,"usgs":false,"family":"Watkins","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holda, Toby J.","contributorId":189287,"corporation":false,"usgs":false,"family":"Holda","given":"Toby J.","affiliations":[],"preferred":false,"id":684396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":684392,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185132,"text":"70185132 - 2017 - Functional traits and ecological affinities of riparian plants along the Colorado River in Grand Canyon","interactions":[],"lastModifiedDate":"2020-12-17T17:45:03.871429","indexId":"70185132","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Functional traits and ecological affinities of riparian plants along the Colorado River in Grand Canyon","docAbstract":"<p><span>Trait-based approaches to vegetation analyses are becoming more prevalent in studies of riparian vegetation dynamics, including responses to flow regulation, groundwater pumping, and climate change. These analyses require species trait data compiled from the literature and floras or original field measurements. Gathering such data makes trait-based research time intensive at best and impracticable in some cases. To support trait-based analysis of vegetation along the Colorado River through Grand Canyon, a data set of 20 biological traits and ecological affinities for 179 species occurring in that study area was compiled. This diverse flora shares species with many riparian areas in the western USA and includes species that occur across a wide moisture gradient. Data were compiled from published scientific papers, unpublished reports, plant fact sheets, existing trait databases, regional floras, and plant guides. Data for ordinal environmental tolerances were more readily available than were quantitative traits. More publicly available data are needed for traits of both common and rare southwestern U.S. plant species to facilitate comprehensive, trait-based research. The trait data set is free to use and can be downloaded from ScienceBase: https://www.sciencebase.gov/catalog/item/58af41dee4b01ccd54f9f2ff and https://dx.doi.org/10.5066/F7QV3JN1</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0104","usgsCitation":"Palmquist, E.C., Ralston, B.E., Daniel, S., Merritt, D., Shafroth, P.B., and Scott, J., 2017, Functional traits and ecological affinities of riparian plants along the Colorado River in Grand Canyon: Western North American Naturalist, v. 77, no. 1, p. 22-30, https://doi.org/10.3398/064.077.0104.","productDescription":"9 p.","startPage":"22","endPage":"30","ipdsId":"IP-070768","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488970,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss1/3","text":"External Repository"},{"id":438415,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QV3JN1","text":"USGS data release","linkHelpText":"Southwestern Riparian Plant Trait Matrix, Colorado River, Grand Canyon, 2014 - 2016Data"},{"id":337615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.0545654296875,\n              35.576916524038616\n            ],\n            [\n              -111.2200927734375,\n              35.576916524038616\n            ],\n            [\n              -111.2200927734375,\n              37.00693943418586\n            ],\n            [\n              -114.0545654296875,\n              37.00693943418586\n            ],\n            [\n              -114.0545654296875,\n              35.576916524038616\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"77","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52c7e4b0849ce97c8680","contributors":{"authors":[{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":684464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralston, Barbara E. 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":606,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","middleInitial":"E.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":false,"id":684465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniel, Sarr.","contributorId":189307,"corporation":false,"usgs":false,"family":"Daniel","given":"Sarr.","email":"","affiliations":[],"preferred":false,"id":684466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merritt, David","contributorId":189308,"corporation":false,"usgs":false,"family":"Merritt","given":"David","affiliations":[],"preferred":false,"id":684467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B","contributorId":189309,"corporation":false,"usgs":false,"family":"Shafroth","given":"Patrick","email":"","middleInitial":"B","affiliations":[],"preferred":false,"id":684468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Julian","contributorId":61764,"corporation":false,"usgs":false,"family":"Scott","given":"Julian","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":684469,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70185085,"text":"70185085 - 2017 - The significant surface-water connectivity of \"geographically isolated wetlands\"","interactions":[],"lastModifiedDate":"2017-09-05T12:58:12","indexId":"70185085","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"The significant surface-water connectivity of \"geographically isolated wetlands\"","docAbstract":"We evaluated the current literature, coupled with our collective research expertise, on surface-water connectivity of wetlands considered to be “geographically isolated” (sensu Tiner Wetlands 23:494–516, 2003a) to critically assess the scientific foundation of grouping wetlands based on the singular condition of being surrounded by uplands. The most recent research on wetlands considered to be “geographically isolated” shows the difficulties in grouping an ecological resource that does not reliably indicate lack of surface water connectivity in order to meet legal, regulatory, or scientific needs. Additionally, the practice of identifying “geographically isolated wetlands” based on distance from a stream can result in gross overestimates of the number of wetlands lacking ecologically important surface-water connections. Our findings do not support use of the overly simplistic label of “geographically isolated wetlands”. Wetlands surrounded by uplands vary in function and surface-water connections based on wetland landscape setting, context, climate, and geographic region and should be evaluated as such. We found that the “geographically isolated” grouping does not reflect our understanding of the hydrologic variability of these wetlands and hence does not benefit conservation of the Nation’s diverse wetland resources. Therefore, we strongly discourage use of categorizations that provide overly simplistic views of surface-water connectivity of wetlands fully embedded in upland landscapes.","language":"English","publisher":"Springer","doi":"10.1007/s13157-017-0887-3","usgsCitation":"Calhoun, A.J., Mushet, D.M., Alexander, L., DeKeyser, E., Fowler, L., Lane, C., Lang, M.W., Rains, M.C., Richter, S., and Walls, S.C., 2017, The significant surface-water connectivity of \"geographically isolated wetlands\": Wetlands, v. 37, no. 4, p. 801-806, https://doi.org/10.1007/s13157-017-0887-3.","productDescription":"6 p.","startPage":"801","endPage":"806","ipdsId":"IP-079137","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470006,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s13157-017-0887-3","text":"External Repository"},{"id":337593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-25","publicationStatus":"PW","scienceBaseUri":"58ca52c8e4b0849ce97c8688","contributors":{"authors":[{"text":"Calhoun, Aram J.K.","contributorId":93829,"corporation":false,"usgs":false,"family":"Calhoun","given":"Aram","email":"","middleInitial":"J.K.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":684286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":684285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":684287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeKeyser, Edward S.","contributorId":138601,"corporation":false,"usgs":false,"family":"DeKeyser","given":"Edward S.","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":684288,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fowler, Laurie","contributorId":156400,"corporation":false,"usgs":false,"family":"Fowler","given":"Laurie","affiliations":[{"id":17882,"text":"Odum School of Ecology, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":684289,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":684290,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lang, Megan W.","contributorId":131150,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":7264,"text":"USDA Forest Service, Northern Research Station, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":684291,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rains, Mark C.","contributorId":138983,"corporation":false,"usgs":false,"family":"Rains","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":684292,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richter, Stephen","contributorId":189266,"corporation":false,"usgs":false,"family":"Richter","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":684293,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":684294,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70189771,"text":"70189771 - 2017 - Matching seed to site by climate similarity: techniques to prioritize plant materials development and use in restoration","interactions":[],"lastModifiedDate":"2017-07-25T12:42:20","indexId":"70189771","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Matching seed to site by climate similarity: techniques to prioritize plant materials development and use in restoration","docAbstract":"<p><span>Land management agencies are increasing the use of native plant materials for vegetation treatments to restore ecosystem function and maintain natural ecological integrity. This shift toward the use of natives has highlighted a need to increase the diversity of materials available. A key problem is agreeing on how many, and which, new accessions should be developed. Here we describe new methods that address this problem. Our methods use climate data to calculate a climate similarity index between two points in a defined extent. This index can be used to predict relative performance of available accessions at a target site. In addition, the index can be used in combination with standard cluster analysis algorithms to quantify and maximize climate coverage (mean climate similarity), given a modeled range extent and a specified number of accessions. We demonstrate the utility of this latter feature by applying it to the extents of 11 western North American species with proven or potential use in restoration. First, a species-specific seed transfer map can be readily generated for a species by predicting performance for accessions currently available; this map can be readily updated to accommodate new accessions. Next, the increase in climate coverage achieved by adding successive accessions can be explored, yielding information that managers can use to balance ecological and economic considerations in determining how many accessions to develop. This approach identifies sampling sites, referred to as climate centers, which contribute unique, complementary, climate coverage to accessions on hand, thus providing explicit sampling guidance for both germplasm preservation and research. We examine how these and other features of our approach add to existing methods used to guide plant materials development and use. Finally, we discuss how these new methods provide a framework that could be used to coordinate native plant materials development, evaluation, and use across agencies, regions, and research groups.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1505","usgsCitation":"Doherty, K., Butterfield, B.J., and Wood, T.E., 2017, Matching seed to site by climate similarity: techniques to prioritize plant materials development and use in restoration: Ecological Applications, v. 27, no. 3, p. 1010-1023, https://doi.org/10.1002/eap.1505.","productDescription":"14 p.","startPage":"1010","endPage":"1023","onlineOnly":"N","ipdsId":"IP-077215","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":344294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-21","publicationStatus":"PW","scienceBaseUri":"597858b5e4b0ec1a488a0910","contributors":{"authors":[{"text":"Doherty, Kyle 0000-0002-3742-7839 kdoherty@usgs.gov","orcid":"https://orcid.org/0000-0002-3742-7839","contributorId":166770,"corporation":false,"usgs":true,"family":"Doherty","given":"Kyle","email":"kdoherty@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":706297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":706298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Troy E. 0000-0002-1533-5714 twood@usgs.gov","orcid":"https://orcid.org/0000-0002-1533-5714","contributorId":4023,"corporation":false,"usgs":true,"family":"Wood","given":"Troy","email":"twood@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":706296,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70181792,"text":"70181792 - 2017 - Status and trends of dam removal research in the United States","interactions":[],"lastModifiedDate":"2017-11-22T17:01:38","indexId":"70181792","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Status and trends of dam removal research in the United States","docAbstract":"Aging infrastructure coupled with growing interest in river restoration has driven a dramatic increase in the practice of dam removal. With this increase, there has been a proliferation of studies that assess the physical and ecological responses of rivers to these removals. As more dams are considered for removal, scientific information from these dam-removal studies will increasingly be called upon to inform decisions about whether, and how best, to bring down dams. This raises a critical question: what is the current state of dam-removal science in the United States? To explore the status, trends, and characteristics of dam-removal research in the U.S., we searched the scientific literature and extracted basic information from studies on dam removal. Our literature review illustrates that although over 1200 dams have been removed in the U.S., fewer than 10% have been scientifically evaluated, and most of these studies were short in duration ( &lt; 4 years) and had limited (1–2 years) or no pre-removal monitoring. The majority of studies focused on hydrologic and geomorphic responses to removal rather than biological and water-quality responses, and few studies were published on linkages between physical and ecological components. Our review illustrates the need for long-term, multidisciplinary case studies, with robust study designs, in order to anticipate the effects of dam removal and inform future decision making.","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1164","usgsCitation":"Bellmore, J., Duda, J.J., Craig, L., Greene, S., Torgersen, C.E., Collins, M.J., and Vittum, K., 2017, Status and trends of dam removal research in the United States: WIREs Water, v. 4, no. 2, e1164; 13 p., https://doi.org/10.1002/wat2.1164.","productDescription":"e1164; 13 p.","ipdsId":"IP-067287","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":337663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-05","publicationStatus":"PW","scienceBaseUri":"58ca52c9e4b0849ce97c868e","contributors":{"authors":[{"text":"Bellmore, James jbellmore@usgs.gov","contributorId":181550,"corporation":false,"usgs":true,"family":"Bellmore","given":"James","email":"jbellmore@usgs.gov","affiliations":[],"preferred":true,"id":668570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":668571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craig, Laura","contributorId":173675,"corporation":false,"usgs":false,"family":"Craig","given":"Laura","affiliations":[{"id":27270,"text":"American Rivers","active":true,"usgs":false}],"preferred":false,"id":668572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greene, Samantha L. sgreene@usgs.gov","contributorId":5262,"corporation":false,"usgs":true,"family":"Greene","given":"Samantha L.","email":"sgreene@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":668573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":668576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collins, Mathias J.","contributorId":181551,"corporation":false,"usgs":false,"family":"Collins","given":"Mathias","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":668575,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vittum, Katherine kvittum@usgs.gov","contributorId":139893,"corporation":false,"usgs":true,"family":"Vittum","given":"Katherine","email":"kvittum@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":668574,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70185125,"text":"70185125 - 2017 - Toxicity of chromium (VI) to two mussels and an amphipod in water-only exposures with or without a co-stressor of elevated temperature, zinc, or nitrate","interactions":[],"lastModifiedDate":"2017-03-22T14:39:31","indexId":"70185125","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of chromium (VI) to two mussels and an amphipod in water-only exposures with or without a co-stressor of elevated temperature, zinc, or nitrate","docAbstract":"<p><span>The objectives of the present study were to develop methods for propagating western pearlshell (</span><i class=\"EmphasisTypeItalic \">Margaritifera falcata</i><span>) for laboratory toxicity testing and evaluate acute and chronic toxicity of chromium VI [Cr(VI)] to the pearlshell and a commonly tested mussel (fatmucket, </span><i class=\"EmphasisTypeItalic \">Lampsilis siliquoidea</i><span> at 20&nbsp;°C or in association with a co-stressor of elevated temperature (27&nbsp;°C), zinc (50&nbsp;µg Zn/L), or nitrate (35&nbsp;mg NO</span><sub>3</sub><span>/L). A commonly tested invertebrate (amphipod, </span><i class=\"EmphasisTypeItalic \">Hyalella azteca</i><span>) also was tested in chronic exposures. Newly transformed pearlshell (~1&nbsp;week old) were successfully cultured and tested in acute 96&nbsp;h Cr exposures (control survival 100%). However, the grow-out of juveniles in culture for chronic toxicity testing was less successful and chronic 28-day Cr toxicity tests started with 4&nbsp;month-old pearlshell failed due to low control survival (39–68%). Acute median effect concentration (EC50) for the pearlshell (919&nbsp;µg Cr/L) and fatmucket (456&nbsp;µg Cr/L) tested at 20&nbsp;°C without a co-stressor decreased by a factor of &gt; 2 at elevated temperature but did not decrease at elevated Zn or elevated NO</span><sub>3</sub><span>. Chronic 28-day Cr tests were completed successfully with the fatmucket and amphipod (control survival 83–98%). Chronic maximum acceptable toxicant concentration (MATC) for fatmucket at 20&nbsp;°C (26&nbsp;µg Cr/L) decreased by a factor of 2 at elevated temperature or NO</span><sub>3</sub><span> but did not decrease at elevated Zn. However, chronic MATC for amphipod at 20&nbsp;°C (13&nbsp;µg Cr/L) did not decrease at elevated temperature, Zn, or NO</span><sub>3</sub><span>. Acute EC50s for both mussels tested with or without a co-stressor were above the final acute value used to derive United States Environmental Protection Agency acute water quality criterion (WQC) for Cr(VI); however, chronic MATCs for fatmucket at elevated temperature or NO</span><sub>3</sub><span> and chronic MATCs for the amphipod at 20&nbsp;°C with or without elevated Zn or NO</span><sub>3</sub><span> were about equal to the chronic WQC. The results indicate that (1) the elevated temperature increased the acute Cr toxicity to both mussel species, (2) fatmucket was acutely more sensitive to Cr than the pearlshell, (3) elevated temperature or NO</span><sub>3</sub><span> increased chronic Cr toxicity to fatmucket, and (4) acute WQC are protective of tested mussels with or without a co-stressor; however, the chronic WQC might not protect fatmucket at elevated temperature or NO</span><sub>3</sub><span> and might not protect the amphipod at 20&nbsp;°C with or without elevated Zn or NO</span><sub>3</sub><span>.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-017-0377-x","usgsCitation":"Wang, N., Kunz, J.L., Ivey, C.D., Ingersoll, C.G., Barnhart, M., and Glidewell, E.A., 2017, Toxicity of chromium (VI) to two mussels and an amphipod in water-only exposures with or without a co-stressor of elevated temperature, zinc, or nitrate: Archives of Environmental Contamination and Toxicology, v. 72, no. 3, p. 449-460, https://doi.org/10.1007/s00244-017-0377-x.","productDescription":"12 p.","startPage":"449","endPage":"460","ipdsId":"IP-079222","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":337599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-25","publicationStatus":"PW","scienceBaseUri":"58ca52c8e4b0849ce97c8682","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":684437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":684438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":684439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":684440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnhart, M. Christopher","contributorId":189301,"corporation":false,"usgs":false,"family":"Barnhart","given":"M. Christopher","affiliations":[],"preferred":false,"id":684441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glidewell, Elizabeth A.","contributorId":189302,"corporation":false,"usgs":false,"family":"Glidewell","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684442,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70186183,"text":"70186183 - 2017 - Fallow-land Algorithm based on Neighborhood and TemporalAnomalies (FANTA) to map planted versus fallowed croplands usingMODIS data to assist in drought studies leading to water and foodsecurity assessments","interactions":[],"lastModifiedDate":"2017-03-31T10:42:50","indexId":"70186183","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Fallow-land Algorithm based on Neighborhood and TemporalAnomalies (FANTA) to map planted versus fallowed croplands usingMODIS data to assist in drought studies leading to water and foodsecurity assessments","docAbstract":"An important metric to monitor for optimizing water use in agricultural areas is the\namount of cropland left fallowed, or unplanted. Fallowed croplands are difficult to\nmodel because they have many expressions; for example, they can be managed and\nremain free of vegetation or be abandoned and become weedy if the climate for that\nseason permits. We used 250 m, 8-day composite Moderate Resolution Imaging\nSpectroradiometer normalized difference vegetation index data to develop an algorithm\nthat can routinely map cropland status (planted or fallowed) with over 75% user’s and\nproducer’s accuracies. The Fallow-land Algorithm based on Neighborhood and\nTemporal Anomalies (FANTA) compares the current greenness of a cultivated pixel to\nits historical greenness and to the greenness of all cultivated pixels within a defined\nspatial neighborhood, and is therefore transportable across space and through time. This\narticle introduces FANTA and applies it to California from 2001 to 2015 as a case study\nfor use in data-poor places and for use in historical modeling. Timely and accurate\nknowledge of the extent of fallowing can provide decision makers with insights and\nknowledge to mitigate the impacts of drought and provide a scientific basis for effective\nmanagement response. This study is part of the WaterSMART (Sustain and Manage\nAmerica’s Resources for Tomorrow) project, an interdisciplinary and collaborative\nresearch effort focused on improving water conservation and optimizing water use.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15481603.2017.1290913","usgsCitation":"Wallace, C., Thenkabail, P.S., Rodriguez, J.R., and Brown, M.K., 2017, Fallow-land Algorithm based on Neighborhood and TemporalAnomalies (FANTA) to map planted versus fallowed croplands usingMODIS data to assist in drought studies leading to water and foodsecurity assessments: GIScience and Remote Sensing, v. 54, no. 2, p. 258-282, https://doi.org/10.1080/15481603.2017.1290913.","productDescription":"25 p. ","startPage":"258","endPage":"282","ipdsId":"IP-079921","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15481603.2017.1290913","text":"Publisher Index Page"},{"id":338940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338874,"type":{"id":15,"text":"Index Page"},"url":"https://www.tandfonline.com/doi/full/10.1080/15481603.2017.1290913"}],"country":"United States","state":"California","otherGeospatial":"Central Valley ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.96997070312499,\n              39.96870074491696\n            ],\n            [\n              -120.003662109375,\n              35.53222622770337\n            ],\n            [\n              -119.54223632812501,\n              34.82282272723702\n            ],\n            [\n              -118.7841796875,\n              34.813803317113155\n            ],\n            [\n              -118.16894531249999,\n              35.17380831799959\n            ],\n            [\n              -119.36645507812499,\n              37.15156050223665\n            ],\n            [\n              -121.387939453125,\n              39.69873414348139\n            ],\n            [\n              -121.92626953124999,\n              40.72228267283148\n            ],\n            [\n              -122.37670898437499,\n              40.88029480552824\n            ],\n            [\n              -123.00292968749999,\n              40.48873742102282\n            ],\n            [\n              -123.01391601562499,\n              40.10328591293439\n            ],\n            [\n              -122.96997070312499,\n              39.96870074491696\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-15","publicationStatus":"PW","scienceBaseUri":"58df6abfe4b02ff32c6aea2b","contributors":{"authors":[{"text":"Wallace, Cynthia 0000-0003-0001-8828 cwallace@usgs.gov","orcid":"https://orcid.org/0000-0003-0001-8828","contributorId":149179,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia","email":"cwallace@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":687778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":687779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodriguez, Jesus R.","contributorId":190195,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Jesus","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":687781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Melinda K. 0000-0003-1332-017X","orcid":"https://orcid.org/0000-0003-1332-017X","contributorId":190194,"corporation":false,"usgs":false,"family":"Brown","given":"Melinda","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":687780,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179983,"text":"sir20175003 - 2017 - Egg deposition by lithophilic-spawning fishes in the Detroit and Saint Clair Rivers, 2005–14","interactions":[],"lastModifiedDate":"2017-03-14T09:54:34","indexId":"sir20175003","displayToPublicDate":"2017-03-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5003","title":"Egg deposition by lithophilic-spawning fishes in the Detroit and Saint Clair Rivers, 2005–14","docAbstract":"<p>A long-term, multiseason, fish egg sampling program conducted annually on the Detroit (2005–14) and Saint Clair (2010–14) Rivers was summarized to identify where productive fish spawning habitat currently exists. Egg mats were placed on the river bottom during the spring and fall at historic spawning areas and candidate fish spawning habitat restoration sites throughout both rivers. Widespread evidence was found of lithophilic spawning by numerous native fish species, including walleye (<i>Sander vitreus</i>), lake whitefish (<i>Coregonus clupeaformis</i>), lake sturgeon (<i>Acipenser fulvescens</i>), suckers (Catostomidae spp.), and trout-perch (<i>Percopsis omiscomaycus</i>). Walleye, lake whitefish, and suckers spp. spawned in nearly every region of each river in all years on both reef and nonreef substrates. Lake sturgeon eggs were collected almost exclusively over constructed reefs. Catch-per-unit effort of walleye, lake whitefish, and sucker eggs was much greater in the Detroit River than in the Saint Clair River, while Saint Clair River sites supported the greatest collections of lake sturgeon eggs. Collections during this study of lake sturgeon eggs on man-made spawning reefs suggest that artificial reefs may be an effective tool for restoring fish populations in the Detroit and Saint Clair Rivers; however, the quick response of lake sturgeon to spawn on newly constructed reefs and the fact that walleye, lake whitefish, and sucker eggs were often collected over substrate with little interstitial space to protect eggs from siltation and predators suggests that lack of suitable spawning habitat may continue to limit reproduction of lithophilic-spawning fish species in the Saint Clair-Detroit River System.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175003","usgsCitation":"Prichard, C.G., Craig, J.M., Roseman, E.F., Fischer, J.L., Manny, B.A., and Kennedy, G.W., 2017, Egg deposition by lithophilic-spawning fishes in the Detroit and Saint Clair Rivers, 2005–14: U.S. Geological Survey Scientific Investigations Report 2017–5003, 20 p., https://doi.org/10.3133/sir20175003.","productDescription":"v, 20 p.","numberOfPages":"29","onlineOnly":"Y","ipdsId":"IP-077705","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":438421,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MMM8OT","text":"USGS data release","linkHelpText":"Fish eggs collected in the St. Clair, Detroit, and St. Marys rivers, 2005-2022"},{"id":438420,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VD6WPH","text":"USGS data release","linkHelpText":"Fish eggs collected in the St. Clair and Detroit rivers, 2005-2016"},{"id":337150,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5003/sir20175003.pdf","text":"Report","size":"1.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5003"},{"id":337147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5003/coverthb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Detroit River, Lake Erie, Lake Huron, Saint Clair River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.29833984375,\n              41.95949009892467\n            ],\n            [\n              -82.177734375,\n              41.95949009892467\n            ],\n            [\n              -82.177734375,\n              43.06086137134326\n            ],\n            [\n              -83.29833984375,\n              43.06086137134326\n            ],\n            [\n              -83.29833984375,\n              41.95949009892467\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Great Lakes Science Center<br>U.S. Geological Survey<br>1451 Green Rd.<br>Ann Arbor, MI 48105<br></p><p><a href=\"https://www.glsc.usgs.gov/\" data-mce-href=\"https://www.glsc.usgs.gov/\">https://www.glsc.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>Discussion<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2017-03-14","noUsgsAuthors":false,"publicationDate":"2017-03-14","publicationStatus":"PW","scienceBaseUri":"58c90123e4b0849ce97abcb7","contributors":{"authors":[{"text":"Prichard, Carson G. 0000-0003-1588-6652","orcid":"https://orcid.org/0000-0003-1588-6652","contributorId":178522,"corporation":false,"usgs":false,"family":"Prichard","given":"Carson G.","affiliations":[],"preferred":false,"id":681516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Craig, Jaquelyn M. 0000-0002-7601-8616 jcraig@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-8616","contributorId":146209,"corporation":false,"usgs":true,"family":"Craig","given":"Jaquelyn","email":"jcraig@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":681517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":138592,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":681515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fischer, Jason L. 0000-0001-7226-6500 jfischer@usgs.gov","orcid":"https://orcid.org/0000-0001-7226-6500","contributorId":149532,"corporation":false,"usgs":true,"family":"Fischer","given":"Jason","email":"jfischer@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":681518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":681520,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Gregory W. 0000-0003-1686-6960 gkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-6960","contributorId":3700,"corporation":false,"usgs":true,"family":"Kennedy","given":"Gregory","email":"gkennedy@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":681519,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70184975,"text":"70184975 - 2017 - Local biotic adaptation of trees and shrubs to plant neighbors","interactions":[],"lastModifiedDate":"2017-04-04T10:02:07","indexId":"70184975","displayToPublicDate":"2017-03-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Local biotic adaptation of trees and shrubs to plant neighbors","docAbstract":"<p><span>Natural selection as a result of plant–plant interactions can lead to local biotic adaptation. This may occur where species frequently interact and compete intensely for resources limiting growth, survival, and reproduction. Selection is demonstrated by comparing a genotype interacting with con- or hetero-specific sympatric neighbor genotypes with a shared site-level history (derived from the same source location), to the same genotype interacting with foreign neighbor genotypes (from different sources). Better genotype performance in sympatric than allopatric neighborhoods provides evidence of local biotic adaptation. This pattern might be explained by selection to avoid competition by shifting resource niches (differentiation) or by interactions benefitting one or more members (facilitation). We tested for local biotic adaptation among two riparian trees, </span><i>Populus fremontii</i><span> and </span><i>Salix gooddingii</i><span>, and the shrub </span><i>Salix exigua</i><span> by transplanting replicated genotypes from multiple source locations to a 17 000 tree common garden with sympatric and allopatric treatments along the Colorado River in California. Three major patterns were observed: 1) across species, 62 of 88 genotypes grew faster with sympatric neighbors than allopatric neighbors; 2) these growth rates, on an individual tree basis, were 44, 15 and 33% higher in sympatric than allopatric treatments for </span><i>P. fremontii, S. exigua</i><span> and </span><i>S. gooddingii</i><span>, respectively, and; 3) survivorship was higher in sympatric treatments for </span><i>P. fremontii</i><span>and </span><i>S. exigua</i><span>. These results support the view that fitness of foundation species supporting diverse communities and dominating ecosystem processes is determined by adaptive interactions among multiple plant species with the outcome that performance depends on the genetic identity of plant neighbors. The occurrence of evolution in a plant-community context for trees and shrubs builds on ecological evolutionary research that has demonstrated co-evolution among herbaceous taxa, and evolution of native species during exotic plants invasion, and taken together, refutes the concept that plant communities are always random associations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/oik.03240","usgsCitation":"Grady, K.C., Wood, T.E., Kolb, T.E., Hersch-Green, E., Shuster, S.M., Gehring, C.A., Hart, S.C., Allan, G.J., and Whitham, T.G., 2017, Local biotic adaptation of trees and shrubs to plant neighbors: Oikos, v. 126, no. 4, p. 583-593, https://doi.org/10.1111/oik.03240.","productDescription":"11 p.","startPage":"583","endPage":"593","ipdsId":"IP-060158","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470015,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/59p2b4xv","text":"External Repository"},{"id":337546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.850830078125,\n              30.95876857077987\n            ],\n            [\n              -110.247802734375,\n              30.95876857077987\n            ],\n            [\n              -110.247802734375,\n              35.41591492345623\n            ],\n            [\n              -115.850830078125,\n              35.41591492345623\n            ],\n            [\n              -115.850830078125,\n              30.95876857077987\n            ]\n          ]\n        ]\n      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Science Center","active":true,"usgs":true}],"preferred":true,"id":683788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolb, Thomas E.","contributorId":189073,"corporation":false,"usgs":false,"family":"Kolb","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hersch-Green, Erika","contributorId":189077,"corporation":false,"usgs":false,"family":"Hersch-Green","given":"Erika","email":"","affiliations":[],"preferred":false,"id":683796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shuster, Stephen M.","contributorId":174326,"corporation":false,"usgs":false,"family":"Shuster","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":27416,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Nothern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":683791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gehring, Catherine A.","contributorId":189076,"corporation":false,"usgs":false,"family":"Gehring","given":"Catherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":683794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Stephen C.","contributorId":189074,"corporation":false,"usgs":false,"family":"Hart","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":683792,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allan, Gerard J.","contributorId":189075,"corporation":false,"usgs":false,"family":"Allan","given":"Gerard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":683793,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whitham, Thomas G.","contributorId":174327,"corporation":false,"usgs":false,"family":"Whitham","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":27416,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Nothern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":683795,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70184973,"text":"70184973 - 2017 - Evaluation of a method using survey counts and tag data to estimate the number of Pacific walruses (<i>Odobenus rosmarus divergens</i>) using a coastal haulout in northwestern Alaska","interactions":[],"lastModifiedDate":"2018-06-16T17:44:45","indexId":"70184973","displayToPublicDate":"2017-03-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a method using survey counts and tag data to estimate the number of Pacific walruses (<i>Odobenus rosmarus divergens</i>) using a coastal haulout in northwestern Alaska","docAbstract":"<p><span>Increased periods of sparse sea ice over the continental shelf of the Chukchi Sea in late summer have reduced offshore haulout habitat for Pacific walruses (</span><i class=\"EmphasisTypeItalic \">Odobenus rosmarus divergens</i><span>) and increased opportunities for human activities in the region. Knowing how many walruses could be affected by human activities would be useful to conservation decisions. Currently, there are no adequate estimates of walrus abundance in the northeastern Chukchi Sea during summer–early autumn. Estimating abundance in autumn might be possible from coastal surveys of hauled out walruses during periods when offshore sea ice is unavailable to walruses. We evaluated methods to estimate the size of the walrus population that was using a haulout on the coast of northwestern Alaska in autumn by using aerial photography to count the number of hauled out walruses (herd size) and data from 37 tagged walruses to estimate availability (proportion of population hauled out). We used two methods to estimate availability, direct proportions of hauled out tagged walruses and smoothed proportions using local polynomial regression. Point estimates of herd size (4200–38,000 walruses) and total population size (76,000–287,000 walruses) ranged widely among days and between the two methods of estimating availability. Estimates of population size were influenced most by variation in estimates of availability. Coastal surveys might be improved most by counting walruses when the greatest numbers are hauled out, thereby reducing the influence of availability on population size estimates. The chance of collecting data during peak haulout periods would be improved by conducting multiple surveys.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00300-016-2060-5","usgsCitation":"Battaile, B., Jay, C.V., Udevitz, M.S., and Fischbach, A.S., 2017, Evaluation of a method using survey counts and tag data to estimate the number of Pacific walruses (<i>Odobenus rosmarus divergens</i>) using a coastal haulout in northwestern Alaska: Polar Biology, v. 40, no. 7, p. 1359-1369, https://doi.org/10.1007/s00300-016-2060-5.","productDescription":"11 p.","startPage":"1359","endPage":"1369","ipdsId":"IP-070731","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":438417,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B27SB2","text":"USGS data release","linkHelpText":"Walrus Haulout Photographs Near Pt. Lay Alaska, September 2014"},{"id":337549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-04","publicationStatus":"PW","scienceBaseUri":"58c90123e4b0849ce97abcb2","contributors":{"authors":[{"text":"Battaile, Brian bbattaile@usgs.gov","contributorId":189069,"corporation":false,"usgs":true,"family":"Battaile","given":"Brian","email":"bbattaile@usgs.gov","affiliations":[],"preferred":true,"id":683780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":684324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":684325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":684326,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185025,"text":"70185025 - 2017 - Risk, liability, and economic issues with long-term CO<sub>2</sub> storage—A review","interactions":[],"lastModifiedDate":"2018-02-15T14:29:36","indexId":"70185025","displayToPublicDate":"2017-03-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Risk, liability, and economic issues with long-term CO<sub>2</sub> storage—A review","docAbstract":"<p><span>Given a scarcity of commercial-scale carbon capture and storage (CCS) projects, there is a great deal of uncertainty in the risks, liability, and their cost implications for geologic storage of carbon dioxide (CO</span><sub>2</sub><span>). The probabilities of leakage and the risk of induced seismicity could be remote, but the volume of geologic CO</span><sub>2</sub><span> storage (GCS) projected to be necessary to have a significant impact on increasing CO</span><sub>2</sub><span> concentrations in the atmosphere is far greater than the volumes of CO</span><sub>2</sub><span> injected thus far. National-level estimates of the technically accessible CO</span><sub>2</sub><span>storage resource (TASR) onshore in the United States are on the order of thousands of gigatons of CO</span><sub>2</sub><span> storage capacity, but such estimates generally assume away any pressure management issues. Pressure buildup in the storage reservoir is expected to be a primary source of risk associated with CO</span><sub>2</sub><span> storage, and only a fraction of the theoretical TASR could be available unless the storage operator extracts the saltwater brines or other formation fluids that are already present in the geologic pore space targeted for CO</span><sub>2</sub><span> storage. Institutions, legislation, and processes to manage the risk, liability, and economic issues with CO</span><sub>2</sub><span> storage in the United States are beginning to emerge, but will need to progress further in order to allow a commercial-scale CO</span><sub>2</sub><span> storage industry to develop in the country. The combination of economic tradeoffs, property rights definitions, liability issues, and risk considerations suggests that CO</span><sub>2</sub><span> storage offshore of the United States may be more feasible than onshore, especially during the current (early) stages of industry development.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11053-016-9303-6","usgsCitation":"Anderson, S.T., 2017, Risk, liability, and economic issues with long-term CO<sub>2</sub> storage—A review: Natural Resources Research, v. 26, no. 1, p. 89-112, https://doi.org/10.1007/s11053-016-9303-6.","productDescription":"24 p.","startPage":"89","endPage":"112","ipdsId":"IP-069501","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470013,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-016-9303-6","text":"Publisher Index Page"},{"id":337512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-23","publicationStatus":"PW","scienceBaseUri":"58c90122e4b0849ce97abca4","contributors":{"authors":[{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":683989,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}