{"pageNumber":"1207","pageRowStart":"30150","pageSize":"25","recordCount":165296,"records":[{"id":70145057,"text":"70145057 - 2015 - Isotopic disproportionation during hydrogen isotopic analysis of nitrogen-bearing organic compounds","interactions":[],"lastModifiedDate":"2015-05-05T12:40:43","indexId":"70145057","displayToPublicDate":"2015-03-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic disproportionation during hydrogen isotopic analysis of nitrogen-bearing organic compounds","docAbstract":"
\n

Rationale

\n
\n

High-precision hydrogen isotope ratio analysis of nitrogen-bearing organic materials using high-temperature conversion (HTC) techniques has proven troublesome in the past. Formation of reaction products other than molecular hydrogen (H2) has been suspected as a possible cause of incomplete H2 yield and hydrogen isotopic fractionation.

\n
\n
\n
\n

Methods

\n
\n

The classical HTC reactor setup and a modified version including elemental chromium, both operated at temperatures in excess of 1400 °C, have been compared using a selection of nitrogen-bearing organic compounds, including caffeine. A focus of the experiments was to avoid or suppress hydrogen cyanide (HCN) formation and to reach quantitative H2 yields. The technique also was optimized to provide acceptable sample throughput.

\n
\n
\n
\n

Results

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\n

The classical HTC reaction of a number of selected compounds exhibited H2 yields from 60 to 90 %. Yields close to 100 % were measured for the experiments with the chromium-enhanced reactor. The δ2H values also were substantially different between the two types of experiments. For the majority of the compounds studied, a highly significant relationship was observed between the amount of missing H2and the number of nitrogen atoms in the molecules, suggesting the pyrolytic formation of HCN as a byproduct. A similar linear relationship was found between the amount of missing H2 and the observed hydrogen isotopic result, reflecting isotopic fractionation.

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\n

Conclusions

\n
\n

The classical HTC technique to produce H2 from organic materials using high temperatures in the presence of glassy carbon is not suitable for nitrogen-bearing compounds. Adding chromium to the reaction zone improves the yield to 100 % in most cases. The initial formation of HCN is accompanied by a strong hydrogen isotope effect, with the observed hydrogen isotope results on H2 being substantially shifted to more negative δ2H values. The reaction can be understood as an initial disproportionation leading to H2 and HCN with the HCN-hydrogen systematically enriched in 2H by more than 50 ‰. In the reaction of HCN with chromium, H2 and chromium-containing solid residues are formed quantitatively.

\n
\n
","language":"English","publisher":"Wiley","doi":"10.1002/rcm.7174","usgsCitation":"Nair, S., Geilmann, H., Coplen, T.B., Qi, H., Gehre, M., Schimmelmann, A., and Brand, W.A., 2015, Isotopic disproportionation during hydrogen isotopic analysis of nitrogen-bearing organic compounds: Rapid Communications in Mass Spectrometry, v. 29, no. 9, p. 878-884, https://doi.org/10.1002/rcm.7174.","productDescription":"7 p.","startPage":"878","endPage":"884","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062826","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":299333,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-26","publicationStatus":"PW","scienceBaseUri":"551fb9bee4b027f0aee3bb1a","contributors":{"authors":[{"text":"Nair, Sreejesh","contributorId":140050,"corporation":false,"usgs":false,"family":"Nair","given":"Sreejesh","email":"","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":543922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geilmann, Heike","contributorId":41303,"corporation":false,"usgs":false,"family":"Geilmann","given":"Heike","email":"","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":543923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":543921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":543924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gehre, Matthias","contributorId":34004,"corporation":false,"usgs":false,"family":"Gehre","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":543925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schimmelmann, Arndt","contributorId":140051,"corporation":false,"usgs":false,"family":"Schimmelmann","given":"Arndt","affiliations":[{"id":13366,"text":"Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":543926,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brand, Willi A.","contributorId":33091,"corporation":false,"usgs":false,"family":"Brand","given":"Willi","email":"","middleInitial":"A.","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":543927,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70174898,"text":"70174898 - 2015 - Biological indicators of changes in water quality and habitats of the coastal and estuarine areas of the Greater Everglades Ecosystem; Chapter 11","interactions":[],"lastModifiedDate":"2016-07-20T12:50:22","indexId":"70174898","displayToPublicDate":"2015-03-25T18:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Biological indicators of changes in water quality and habitats of the coastal and estuarine areas of the Greater Everglades Ecosystem; Chapter 11","docAbstract":"

This chapter summarizes the application of various biological indicators to studying the anthropogenic and natural changes in water quality and habitats that have occurred in the coastal and estuarine areas of the Greater Everglades ecosystem.

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To address the ongoing debate over the impact of invasive species on native terrestrial wildlife, we conducted a large-scale experiment to test the hypothesis that invasive Burmese pythons (Python molurus bivittatus) were a cause of the precipitous decline of mammals in Everglades National Park (ENP). Evidence linking pythons to mammal declines has been indirect and there are reasons to question whether pythons, or any predator, could have caused the precipitous declines seen across a range of mammalian functional groups. Experimentally manipulating marsh rabbits, we found that pythons accounted for 77% of rabbit mortalities within 11 months of their translocation to ENP and that python predation appeared to preclude the persistence of rabbit populations in ENP. On control sites, outside of the park, no rabbits were killed by pythons and 71% of attributable marsh rabbit mortalities were classified as mammal predations. Burmese pythons pose a serious threat to the faunal communities and ecological functioning of the Greater Everglades Ecosystem, which will probably spread as python populations expand their range.

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In the southern Beaufort Sea of the United States and Canada, prior investigations have linked declines in summer sea ice to reduced physical condition, growth, and survival of polar bears (Ursus maritimus). Combined with projections of population decline due to continued climate warming and the ensuing loss of sea ice habitat, those findings contributed to the 2008 decision to list the species as threatened under the U.S. Endangered Species Act. Here, we used mark–recapture models to investigate the population dynamics of polar bears in the southern Beaufort Sea from 2001 to 2010, years during which the spatial and temporal extent of summer sea ice generally declined. Low survival from 2004 through 2006 led to a 25–50% decline in abundance. We hypothesize that low survival during this period resulted from (1) unfavorable ice conditions that limited access to prey during multiple seasons; and possibly, (2) low prey abundance. For reasons that are not clear, survival of adults and cubs began to improve in 2007 and abundance was comparatively stable from 2008 to 2010, with ~900 bears in 2010 (90% CI 606–1212). However, survival of subadult bears declined throughout the entire period. Reduced spatial and temporal availability of sea ice is expected to increasingly force population dynamics of polar bears as the climate continues to warm. However, in the short term, our findings suggest that factors other than sea ice can influence survival. A refined understanding of the ecological mechanisms underlying polar bear population dynamics is necessary to improve projections of their future status and facilitate development of management strategies.

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Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":543392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":543393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":543394,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":543395,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":543396,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70144118,"text":"70144118 - 2015 - Storage and mobilization of natural and septic nitrate in thick unsaturated zones, California","interactions":[],"lastModifiedDate":"2015-03-25T14:33:42","indexId":"70144118","displayToPublicDate":"2015-03-25T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Storage and mobilization of natural and septic nitrate in thick unsaturated zones, California","docAbstract":"

Mobilization of natural and septic nitrate from the unsaturated zone as a result of managed aquifer recharge has degraded water quality from public-supply wells near Yucca Valley in the western Mojave Desert, California. The effect of nitrate storage and potential for denitrification in the unsaturated zone to mitigate increasing nitrate concentrations were investigated. Storage of water extractable nitrate in unsaturated alluvium up to 160 meters (m) thick, ranged from 420 to 6600 kilograms per hectare (kg/ha) as nitrogen (N) beneath undeveloped sites, from 6100 to 9200 kg/ha as N beneath unsewered sites. Nitrate reducing and denitrifying bacteria were less abundant under undeveloped sites and more abundant under unsewered sites; however, δ15N–NO3, and δ18O–NO3 data show only about 5–10% denitrification of septic nitrate in most samples—although as much as 40% denitrification occurred in some parts the unsaturated zone and near the top of the water table. Storage of nitrate in thick unsaturated zones and dilution with low-nitrate groundwater are the primary attenuation mechanisms for nitrate from septic discharges in the study area. Numerical simulations of unsaturated flow, using the computer program TOUGH2, showed septic effluent movement through the unsaturated zone increased as the number and density of the septic tanks increased, and decreased with increased layering, and increased slope of layers, within the unsaturated zone. Managing housing density can delay arrival of septic discharges at the water table, especially in layered unsaturated alluvium, allowing time for development of strategies to address future water-quality issues.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2015.02.005","usgsCitation":"Izbicki, J., Flint, A.L., O’Leary, D.R., Nishikawa, T., Martin, P., Johnson, R.D., and Clark, D.A., 2015, Storage and mobilization of natural and septic nitrate in thick unsaturated zones, California: Journal of Hydrology, v. 524, p. 147-165, https://doi.org/10.1016/j.jhydrol.2015.02.005.","productDescription":"19 p.","startPage":"147","endPage":"165","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024969","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472196,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2015.02.005","text":"Publisher Index Page"},{"id":298977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert, Yucca Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.2466812133789,\n 34.21719638568665\n ],\n [\n -116.26178741455078,\n 34.21691248755925\n ],\n [\n -116.26556396484374,\n 34.179429539103374\n ],\n [\n -116.30985260009766,\n 34.14931753487509\n ],\n [\n -116.38469696044923,\n 34.14477139380641\n ],\n [\n -116.48082733154297,\n 34.12033169446951\n ],\n [\n -116.48632049560547,\n 34.10810919505794\n ],\n [\n -116.47636413574219,\n 34.10441367312451\n ],\n [\n -116.35002136230469,\n 34.115783994045756\n ],\n [\n -116.30882263183592,\n 34.12487915033016\n ],\n [\n -116.26075744628906,\n 34.11834210562594\n ],\n [\n -116.23226165771484,\n 34.11265730814678\n ],\n [\n -116.20651245117188,\n 34.12232123650219\n ],\n [\n -116.20548248291016,\n 34.1802816093354\n ],\n [\n -116.2466812133789,\n 34.21719638568665\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"524","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5513ce1ae4b032384276c999","chorus":{"doi":"10.1016/j.jhydrol.2015.02.005","url":"http://dx.doi.org/10.1016/j.jhydrol.2015.02.005","publisher":"Elsevier BV","authors":"Izbicki John A., Flint Alan L., O’Leary David R., Nishikawa Tracy, Martin Peter, Johnson Russell D., Clark Dennis A.","journalName":"Journal of Hydrology","publicationDate":"5/2015","auditedOn":"7/24/2015","publiclyAccessibleDate":"2/9/2015"},"contributors":{"authors":[{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological 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0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Russell D.","contributorId":21829,"corporation":false,"usgs":true,"family":"Johnson","given":"Russell","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":543385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clark, Dennis A. daclark@usgs.gov","contributorId":1477,"corporation":false,"usgs":true,"family":"Clark","given":"Dennis","email":"daclark@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":543379,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70144008,"text":"70144008 - 2015 - Stable carbon and nitrogen isotope trophic enrichment factors for Steller sea lion vibrissae relative to milk and fish/invertebrate diets","interactions":[],"lastModifiedDate":"2015-03-25T14:16:40","indexId":"70144008","displayToPublicDate":"2015-03-25T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Stable carbon and nitrogen isotope trophic enrichment factors for Steller sea lion vibrissae relative to milk and fish/invertebrate diets","docAbstract":"

Nutritional constraints have been proposed as a contributor to population declines in the endangered Steller sea lion Eumetopias jubatus in some regions of the North Pacific. Isotopic analysis of vibrissae (whiskers) is a potentially useful approach to resolving the nutritional ecology of this species because long-term (up to 8 yr) dietary information is sequentially recorded and metabolically inert once formed. Additionally, vibrissae are grown in utero, potentially offering indirect inference on maternal diet. However, diet reconstruction using isotopic techniques requires a priori knowledge of trophic enrichment factors (TEFs), which can vary relative to diet quality and among animal species. In this study, we provide new TEF estimates for (1) maternal relative to pup vibrissae during both gestation and nursing and (2) adult vibrissae relative to a complex diet. Further, we refine vibrissa-milk TEFs based on an additional 76 animals with an age distribution ranging from 1 to 20 mo. Mother-pup vibrissae TEF values during gestation and nursing were near zero for δ13C and averaged 0.8 and 1.6‰, respectively, for δ15N. In contrast, vibrissa-fish/invertebrate TEFs averaged 3.3 (± 0.3 SD) and 3.7‰ (±0.3) for lipid-free δ13C and δ15N, respectively. Average lipid-free δ13C and δ15N vibrissa-milk TEFs were 2.5 (±0.9) and 1.8‰ (±0.8), respectively, and did not differ among metapopulations. Empirically determined TEFs are critical for accurate retrospective diet modeling, particularly for evaluating the hypothesis of nutritional deficiency contributing to the lack of Steller sea lion population recovery in some regions of Alaska.

","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11205","usgsCitation":"Stricker, C.A., Christ, A.M., Wunder, M.B., Doll, A., Farley, S.D., Rea, L.D., Rosen, D., Scherer, R.D., and Tollit, D.J., 2015, Stable carbon and nitrogen isotope trophic enrichment factors for Steller sea lion vibrissae relative to milk and fish/invertebrate diets: Marine Ecology Progress Series, v. 523, p. 255-266, https://doi.org/10.3354/meps11205.","productDescription":"12 p.","startPage":"255","endPage":"266","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057684","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":472197,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps11205","text":"Publisher Index Page"},{"id":298976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"523","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5513ce1ae4b032384276c997","contributors":{"authors":[{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":543258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christ, Aaron M.","contributorId":139844,"corporation":false,"usgs":false,"family":"Christ","given":"Aaron","email":"","middleInitial":"M.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":543259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wunder, Michael B.","contributorId":139845,"corporation":false,"usgs":false,"family":"Wunder","given":"Michael","email":"","middleInitial":"B.","affiliations":[{"id":13293,"text":"University of Colorado - Denver","active":true,"usgs":false}],"preferred":false,"id":543260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doll, Andrew C.","contributorId":139846,"corporation":false,"usgs":false,"family":"Doll","given":"Andrew C.","affiliations":[{"id":13293,"text":"University of Colorado - Denver","active":true,"usgs":false}],"preferred":false,"id":543261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farley, Sean D.","contributorId":27642,"corporation":false,"usgs":false,"family":"Farley","given":"Sean","email":"","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":543262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rea, Lorrie D.","contributorId":82143,"corporation":false,"usgs":false,"family":"Rea","given":"Lorrie","email":"","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":543263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosen, David A. S.","contributorId":139847,"corporation":false,"usgs":false,"family":"Rosen","given":"David A. S.","affiliations":[{"id":5083,"text":"University of British Columbia, Department of Zoology, Biodiversity Research Centre and Beaty Biodiversity Museum","active":true,"usgs":false}],"preferred":false,"id":543264,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scherer, R. D.","contributorId":8061,"corporation":false,"usgs":false,"family":"Scherer","given":"R.","email":"","middleInitial":"D.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":543265,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tollit, Dominic J.","contributorId":139848,"corporation":false,"usgs":false,"family":"Tollit","given":"Dominic","email":"","middleInitial":"J.","affiliations":[{"id":5083,"text":"University of British Columbia, Department of Zoology, Biodiversity Research Centre and Beaty Biodiversity Museum","active":true,"usgs":false}],"preferred":false,"id":543266,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70144104,"text":"70144104 - 2015 - The impact of Hurricane Sandy on the shoreface and inner shelf of Fire Island, New York: large bedform migration but limited erosion","interactions":[],"lastModifiedDate":"2015-03-25T13:41:13","indexId":"70144104","displayToPublicDate":"2015-03-25T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"The impact of Hurricane Sandy on the shoreface and inner shelf of Fire Island, New York: large bedform migration but limited erosion","docAbstract":"

We investigate the impact of superstorm Sandy on the lower shoreface and inner shelf offshore the barrier island system of Fire Island, NY using before-and-after surveys involving swath bathymetry, backscatter and CHIRP acoustic reflection data. As sea level rises over the long term, the shoreface and inner shelf are eroded as barrier islands migrate landward; large storms like Sandy are thought to be a primary driver of this largely evolutionary process. The “before” data were collected in 2011 by the U.S. Geological Survey as part of a long-term investigation of the Fire Island barrier system. The “after” data were collected in January, 2013, ~two months after the storm. Surprisingly, no widespread erosional event was observed. Rather, the primary impact of Sandy on the shoreface and inner shelf was to force migration of major bedforms (sand ridges and sorted bedforms) 10’s of meters WSW alongshore, decreasing in migration distance with increasing water depth. Although greater in rate, this migratory behavior is no different than observations made over the 15-year span prior to the 2011 survey. Stratigraphic observations of buried, offshore-thinning fluvial channels indicate that long-term erosion of older sediments is focused in water depths ranging from the base of the shoreface (~13–16 m) to ~21 m on the inner shelf, which is coincident with the range of depth over which sand ridges and sorted bedforms migrated in response to Sandy. We hypothesize that bedform migration regulates erosion over these water depths and controls the formation of a widely observed transgressive ravinement; focusing erosion of older material occurs at the base of the stoss (upcurrent) flank of the bedforms. Secondary storm impacts include the formation of ephemeral hummocky bedforms and the deposition of a mud event layer.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2015.03.001","usgsCitation":"Goff, J.A., Flood, R.D., Austin, J.A., Schwab, W.C., Christensen, B.A., Browne, C.M., Denny, J.F., and Baldwin, W.E., 2015, The impact of Hurricane Sandy on the shoreface and inner shelf of Fire Island, New York: large bedform migration but limited erosion: Continental Shelf Research, v. 98, p. 13-25, https://doi.org/10.1016/j.csr.2015.03.001.","productDescription":"13 p.","startPage":"13","endPage":"25","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063373","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472198,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/7284","text":"External Repository"},{"id":298973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.29048156738281,\n 40.62177060472069\n ],\n [\n -73.05427551269531,\n 40.66813955408042\n ],\n [\n -72.89291381835938,\n 40.724364221722716\n ],\n [\n -72.79815673828124,\n 40.724884598773755\n ],\n [\n -72.8009033203125,\n 40.66188943992171\n ],\n [\n -73.24790954589844,\n 40.54198241319326\n ],\n [\n -73.29048156738281,\n 40.62177060472069\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5513ce1ae4b032384276c99b","contributors":{"authors":[{"text":"Goff, John A.","contributorId":96087,"corporation":false,"usgs":false,"family":"Goff","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":12811,"text":"Institute for Geophysics, Jackson School of Geosciences, University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":543349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flood, Roger D.","contributorId":139894,"corporation":false,"usgs":false,"family":"Flood","given":"Roger","email":"","middleInitial":"D.","affiliations":[{"id":13306,"text":"School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY","active":true,"usgs":false}],"preferred":false,"id":543350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Austin, James A. Jr.","contributorId":72139,"corporation":false,"usgs":false,"family":"Austin","given":"James","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[{"id":12811,"text":"Institute for Geophysics, Jackson School of Geosciences, University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":543351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":543348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Beth A.","contributorId":36523,"corporation":false,"usgs":false,"family":"Christensen","given":"Beth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":543352,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Browne, Cassandra M.","contributorId":80627,"corporation":false,"usgs":false,"family":"Browne","given":"Cassandra","email":"","middleInitial":"M.","affiliations":[{"id":12811,"text":"Institute for Geophysics, Jackson School of Geosciences, University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":543353,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denny, Jane F. 0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":543354,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":543355,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70144097,"text":"70144097 - 2015 - Nonequilibrium clumped isotope signals in microbial methane","interactions":[],"lastModifiedDate":"2015-04-27T13:29:15","indexId":"70144097","displayToPublicDate":"2015-03-25T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Nonequilibrium clumped isotope signals in microbial methane","docAbstract":"

Methane is a key component in the global carbon cycle with a wide range of anthropogenic and natural sources. Although isotopic compositions of methane have traditionally aided source identification, the abundance of its multiply-substituted “clumped” isotopologues, e.g., 13CH3D, has recently emerged as a proxy for determining methane-formation temperatures; however, the impact of biological processes on methane’s clumped isotopologue signature is poorly constrained. We show that methanogenesis proceeding at relatively high rates in cattle, surface environments, and laboratory cultures exerts kinetic control on 13CH3D abundances and results in anomalously elevated formation temperature estimates. We demonstrate quantitatively that H2 availability accounts for this effect. Clumped methane thermometry can therefore provide constraints on the generation of methane in diverse settings, including continental serpentinization sites and ancient, deep groundwaters.

","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.aaa4326","usgsCitation":"Wang, D.T., Gruen, D.S., Lollar, B.S., Hinrichs, K., Stewart, L.C., Holden, J.F., Hristov, A.N., Pohlman, J., Morrill, P.L., Konneke, M., Delwiche, K.B., Reeves, E.P., Sutcliffe, C.N., Ritter, D.J., Seewald, J.S., McIntosh, J.C., Hemond, H.F., Kubo, M.D., Cardace, D., Hoehler, T.M., and Ono, S., 2015, Nonequilibrium clumped isotope signals in microbial methane: Science, v. 348, no. 6233, p. 428-431, https://doi.org/10.1126/science.aaa4326.","productDescription":"4 p.","startPage":"428","endPage":"431","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-063981","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472199,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/geo_facpubs/71","text":"External Repository"},{"id":298972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"348","issue":"6233","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5513ce19e4b032384276c991","contributors":{"authors":[{"text":"Wang, David T.","contributorId":139859,"corporation":false,"usgs":false,"family":"Wang","given":"David","email":"","middleInitial":"T.","affiliations":[{"id":13295,"text":"1Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139,","active":true,"usgs":false}],"preferred":false,"id":543356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gruen, Danielle 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of Bremen, Bremen D-28359, Germany.","active":true,"usgs":false}],"preferred":false,"id":543359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, Lucy C.","contributorId":139862,"corporation":false,"usgs":false,"family":"Stewart","given":"Lucy","email":"","middleInitial":"C.","affiliations":[{"id":13297,"text":"5Department of Microbiology, University of Massachusetts, Amherst, Massachusetts 01003","active":true,"usgs":false}],"preferred":false,"id":543360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holden, James F.","contributorId":139863,"corporation":false,"usgs":false,"family":"Holden","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":13297,"text":"5Department of Microbiology, University of Massachusetts, Amherst, Massachusetts 01003","active":true,"usgs":false}],"preferred":false,"id":543361,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hristov, Alexander 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Canada.","active":true,"usgs":false}],"preferred":false,"id":543364,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Konneke, Martin","contributorId":139865,"corporation":false,"usgs":false,"family":"Konneke","given":"Martin","email":"","affiliations":[{"id":13296,"text":"4MARUM Center for Marine Environmental Sciences and Department of Geosciences, University of Bremen, Bremen D-28359, Germany.","active":true,"usgs":false}],"preferred":false,"id":543365,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Delwiche, Kyle B.","contributorId":139866,"corporation":false,"usgs":false,"family":"Delwiche","given":"Kyle","email":"","middleInitial":"B.","affiliations":[{"id":13299,"text":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":543366,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reeves, Eoghan 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Dawn","contributorId":139872,"corporation":false,"usgs":false,"family":"Cardace","given":"Dawn","email":"","affiliations":[{"id":13303,"text":"12Department of Geosciences, University of Rhode Island, Kingston, Rhode Island 02881","active":true,"usgs":false}],"preferred":false,"id":543374,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hoehler, Tori M.","contributorId":139873,"corporation":false,"usgs":false,"family":"Hoehler","given":"Tori","email":"","middleInitial":"M.","affiliations":[{"id":13302,"text":"11NASA Ames Research Center, Moffett Field, California 94035","active":true,"usgs":false}],"preferred":false,"id":543375,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Ono, Shuhei","contributorId":100627,"corporation":false,"usgs":false,"family":"Ono","given":"Shuhei","email":"","affiliations":[{"id":13295,"text":"1Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139,","active":true,"usgs":false}],"preferred":false,"id":543376,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70144083,"text":"70144083 - 2015 - Porewater dynamics of silver, lead and copper in coastal sediments and implications for benthic metal fluxes","interactions":[],"lastModifiedDate":"2015-03-25T11:58:57","indexId":"70144083","displayToPublicDate":"2015-03-25T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Porewater dynamics of silver, lead and copper in coastal sediments and implications for benthic metal fluxes","docAbstract":"

To determine the conditions that lead to a diffusive release of dissolved metals from coastal sediments, porewater profiles of Ag, Cu, and Pb have been collected over seven years at two contrasting coastal sites in Massachusetts, USA. The Hingham Bay (HB) site is a contaminated location in Boston Harbor, while the Massachusetts Bay (MB) site is 11 km offshore and less impacted. At both sites, the biogeochemical cycles include scavenging by Fe-oxyhydroxides and release of dissolved metals when Fe-oxyhydroxides are reduced. Important differences in the metal cycles at the two sites, however, result from different redox conditions. Porewater sulfide and seasonal variation in redox zone depth is observed at HB, but not at MB. In summer, as the conditions become more reducing at HB, trace metals are precipitated as sulfides and are no longer associated with Fe-oxyhydroxides. Sulfide precipitation close to the sediment–water interface limits the trace metal flux in summer and autumn at HB, while in winter, oxidation of the sulfide phases drives high benthic fluxes of Cu and Ag, as oxic conditions return. The annual diffusive flux of Cu at HB is found to be significant and contributes to the higher than expected water column Cu concentrations observed in Boston Harbor. At MB, due to the lower sulfide concentrations, the association of trace metals with Fe-oxyhydroxides occurs throughout the year, leading to more stable fluxes. A surface enrichment of solid phase trace metals was found at MB and is attributed to the persistent scavenging by Fe-oxyhydroxides. This process is important, particularly at sites that are less reducing, because it maintains elevated metal concentrations at the surface despite the effects of bioturbation and sediment accumulation, and because it may increase the persistence of metal contamination in surface sediments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2015.02.011","usgsCitation":"Kalnejais, L., Martin, W.R., and Bothner, M., 2015, Porewater dynamics of silver, lead and copper in coastal sediments and implications for benthic metal fluxes: Science of the Total Environment, v. 517, p. 178-194, https://doi.org/10.1016/j.scitotenv.2015.02.011.","productDescription":"17 p.","startPage":"178","endPage":"194","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057822","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":298968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Boston Harbor, Hingham Bay, Massachusetts Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.93803405761719,\n 42.28442103567813\n ],\n [\n -70.93803405761719,\n 42.397600949012876\n ],\n [\n -70.80791473388672,\n 42.397600949012876\n ],\n [\n -70.80791473388672,\n 42.28442103567813\n ],\n [\n -70.93803405761719,\n 42.28442103567813\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"517","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5513ce1ae4b032384276c995","contributors":{"authors":[{"text":"Kalnejais, Linda H.","contributorId":36376,"corporation":false,"usgs":false,"family":"Kalnejais","given":"Linda H.","affiliations":[],"preferred":false,"id":543288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, W. R.","contributorId":27690,"corporation":false,"usgs":false,"family":"Martin","given":"W.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":543289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":543287,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144085,"text":"70144085 - 2015 - Transgenerational effects from early developmental exposures to bisphenol A or 17α-ethinylestradiol in medaka, Oryzias latipes","interactions":[],"lastModifiedDate":"2018-09-04T15:52:35","indexId":"70144085","displayToPublicDate":"2015-03-25T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Transgenerational effects from early developmental exposures to bisphenol A or 17α-ethinylestradiol in medaka, Oryzias latipes","docAbstract":"

The transgenerational consequences of environmental contaminant exposures of aquatic vertebrates have the potential for broad ecological impacts, yet are largely uninvestigated. Bisphenol A (BPA) and 17α-ethinylestradiol (EE2) are two ubiquitous estrogenic chemicals present in aquatic environments throughout the United States and many other countries. Aquatic organisms, including fish, are exposed to varying concentrations of these chemicals at various stages of their life history. Here, we tested the ability of embryonic exposure to BPA or EE2 to cause adverse health outcomes at later life stages and transgenerational abnormalities in medaka fish. Exposures of F0 medaka to either BPA (100 μg/L) or EE2 (0.05 μg/L) during the first 7 days of embryonic development, when germ cells are differentiating, did not cause any apparent phenotypic abnormalities in F0 or F1 generations, but led to a significant reduction in the fertilization rate in offspring two generations later (F2) as well as a reduction of embryo survival in offspring three generations later (F3). Our present observations suggest that BPA or EE2 exposure during development induces transgenerational phenotypes of reproductive impairment and compromised embryonic survival in fish of subsequent generations. These adverse outcomes may have negative impacts on populations of fish inhabiting contaminated aquatic environments.

","language":"English","publisher":"Nature Publishing Group","publisherLocation":"London","doi":"10.1038/srep09303","usgsCitation":"Bhandari, R.K., vom Saal, F., and Tillitt, D.E., 2015, Transgenerational effects from early developmental exposures to bisphenol A or 17α-ethinylestradiol in medaka, Oryzias latipes: Scientific Reports, v. 5, Article 9303; 5 p., https://doi.org/10.1038/srep09303.","productDescription":"Article 9303; 5 p.","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060506","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472200,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep09303","text":"Publisher Index Page"},{"id":298960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-20","publicationStatus":"PW","scienceBaseUri":"5513ce1ae4b032384276c99d","contributors":{"authors":[{"text":"Bhandari, Ramji K. rbhandari@usgs.gov","contributorId":5930,"corporation":false,"usgs":true,"family":"Bhandari","given":"Ramji","email":"rbhandari@usgs.gov","middleInitial":"K.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":543290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"vom Saal, Frederick S.","contributorId":17488,"corporation":false,"usgs":true,"family":"vom Saal","given":"Frederick S.","affiliations":[],"preferred":false,"id":543291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":543292,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70137830,"text":"sir20155007 - 2015 - Assessment of aquifer properties, evapotranspiration, and the effects of ditching in the Stoney Brook watershed, Fond du Lac Reservation, Minnesota, 2006-9","interactions":[],"lastModifiedDate":"2015-04-17T10:30:26","indexId":"sir20155007","displayToPublicDate":"2015-03-25T11:30:00","publicationYear":"2015","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":"2015-5007","title":"Assessment of aquifer properties, evapotranspiration, and the effects of ditching in the Stoney Brook watershed, Fond du Lac Reservation, Minnesota, 2006-9","docAbstract":"

The U.S. Geological Survey, in cooperation with the Fond du Lac Band of Lake Superior Chippewa, assessed hydraulic properties of geologic material, recharge, and evapotranspiration, and the effects of ditching on the groundwater resources in the Stoney Brook watershed in the Fond du Lac Reservation. Geologic, groundwater, and surface-water data were collected during 2006–9 to estimate hydrologic properties in the watershed. Streamflow and groundwater levels in the shallow glacial deposits in the Stoney Brook watershed were analyzed to estimate groundwater-flow directions, groundwater recharge, and evapotranspiration within the watershed and to assess the effect of ditches on surrounding groundwater resources. Groundwater, streamflow, and precipitation data collected during the study (2006–9) can be used to update the U.S. Department of Agriculture’s Natural Resource Conservation Service and Fond du Lac Resource Management Division surface-water models, which are used to evaluate the effect of proposed adjustments to the ditching system on streamflow on wild rice production and aquatic habitats.

\n

Specific yields calculated from the well water levels ranged from 0.11 to 0.40, and hydraulic conductivities determined from water levels measured during well slug tests ranged from 1 to 7 feet per day. The values for specific yields were similar to values obtained in other studies done in glacial materials of similar composition in Minnesota. The higher hydraulic conductivity estimate (7 feet per day) was similar to lower hydraulic conductivities estimated in another hydrologic study conducted in Carlton County, Minnesota.

\n

The installation of drainage ditches in the Stoney Brook watershed has reduced water levels in lakes connected to the ditch system, and has locally reduced groundwater levels in shallow groundwater adjacent to the ditches and lakes. Differences in near-ditch groundwater hydrographs relative to far-ditch groundwater hydrographs indicate that the effect of the ditches on groundwater is only localized to near-ditch areas. These hydrograph differences resulted in large differences between recharge estimated at wells near and far from ditches. In this study, recharge estimated at wells within 50 feet of a ditch was influenced by ditch-water levels. Annual groundwater recharge estimates from water levels and streamflows during 2006–9 ranged from 0.36 to 34.8 inches, and varied with climate, geology, and well location relative to ditches. The higher recharge estimates were determined from analysis of groundwater levels in wells near the ditches because the shallow groundwater in these wells received both infiltration from ditches and areal groundwater recharge from precipitation. The water-table fluctuation method using a manual groundwater recession approach for wells far from ditches provided the best estimates of areal groundwater recharge to the shallow glacial aquifer because water levels in these wells were not affected by water infiltrating from ditches (bank storage). For wells more than 400 feet from ditches, mean annual areal groundwater recharge estimates using the manual groundwater recession approach for wells screened mostly in outwash sands during 2007, 2008, and 2009 ranged from 4.47 to 18.6 inches (wells 5, 7, 13, 14 and 15), and ranged from 0.43 to 2.85 inches for wells screened mostly in clayey sand or sandy clay (wells 9 and 16). Recharge estimates at wells far from ditches were similar to basinwide recharge estimates from streamflow.

\n

Daily fluctuations in water levels in two wells indicated that the evapotranspiration extinction depth in the Stoney Brook watershed is approximately 4.6 to 6 feet below the land surface. A polynomial regression fit of the daily evapotranspiration rates during 2006–9 for well 1 produced a total evapotranspiration estimate of 16.1 inches from June 26 to October 6 for every year. Evapotranspiration estimated from daily water-level fluctuations in wells near ditches is relatively high. The ditch-water surface allowed for relatively high evaporation compared to the land surface, which, with a good hydraulic connection to surrounding groundwater, resulted in relatively high fluctuations in daily groundwater levels near ditches, resulting in high evapotranspiration estimates.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155007","collaboration":"Prepared in cooperation with the Fond du Lac Band of Lake Superior Chippewa","usgsCitation":"Jones, P.M., and Tomasek, A.A., 2015, Assessment of aquifer properties, evapotranspiration, and the effects of ditching in the Stoney Brook watershed, Fond du Lac Reservation, Minnesota, 2006-9: U.S. Geological Survey Scientific Investigations Report 2015-5007, vi, 33 p., https://doi.org/10.3133/sir20155007.","productDescription":"vi, 33 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-048896","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":298967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155007.jpg"},{"id":298965,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5007/"},{"id":298966,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5007/pdf/sir2015-5007.pdf","text":"Report","size":"2.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Minnesota","otherGeospatial":"Fond du Lac Reservation, Stoney Brook watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.64461517333984,\n 46.79488875091874\n ],\n [\n -92.67894744873045,\n 46.79935438115391\n ],\n [\n -92.7187728881836,\n 46.83553581454299\n ],\n [\n -92.7304458618164,\n 46.836944988044465\n ],\n [\n -92.82159805297852,\n 46.7988843322654\n ],\n [\n -92.82142639160156,\n 46.78830714664984\n ],\n [\n -92.80477523803711,\n 46.7660882900233\n ],\n [\n -92.80082702636719,\n 46.71915170604123\n ],\n [\n -92.76477813720702,\n 46.68100772325949\n ],\n [\n -92.70709991455078,\n 46.641422536237094\n ],\n [\n -92.63671875,\n 46.641422536237094\n ],\n [\n -92.63980865478514,\n 46.713267047330255\n ],\n [\n -92.62504577636719,\n 46.722682193238484\n ],\n [\n -92.625732421875,\n 46.75773915478246\n ],\n [\n -92.60307312011719,\n 46.76926297371475\n ],\n [\n -92.60307312011719,\n 46.784780956138846\n ],\n [\n -92.64461517333984,\n 46.79488875091874\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5513ce17e4b032384276c98d","contributors":{"authors":[{"text":"Jones, Perry M. 0000-0002-6569-5144 pmjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6569-5144","contributorId":2231,"corporation":false,"usgs":true,"family":"Jones","given":"Perry","email":"pmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomasek, Abigail A.","contributorId":138614,"corporation":false,"usgs":false,"family":"Tomasek","given":"Abigail","email":"","middleInitial":"A.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":543298,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159979,"text":"70159979 - 2015 - Home range use and movement patterns of non-native feral goats in a tropical island montane dry landscape","interactions":[],"lastModifiedDate":"2018-01-05T12:28:46","indexId":"70159979","displayToPublicDate":"2015-03-25T06:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Home range use and movement patterns of non-native feral goats in a tropical island montane dry landscape","docAbstract":"

Advances in wildlife telemetry and remote sensing technology facilitate studies of broad-scale movements of ungulates in relation to phenological shifts in vegetation. In tropical island dry landscapes, home range use and movements of non-native feral goats (Capra hircus) are largely unknown, yet this information is important to help guide the conservation and restoration of some of the world’s most critically endangered ecosystems. We hypothesized that feral goats would respond to resource pulses in vegetation by traveling to areas of recent green-up. To address this hypothesis, we fitted six male and seven female feral goats with Global Positioning System (GPS) collars equipped with an Argos satellite upload link to examine goat movements in relation to the plant phenology using the Normalized Difference Vegetation Index (NDVI). Movement patterns of 50% of males and 40% of females suggested conditional movement between non-overlapping home ranges throughout the year. A shift in NDVI values corresponded with movement between primary and secondary ranges of goats that exhibited long-distance movement, suggesting that vegetation phenology as captured by NDVI is a good indicator of the habitat and movement patterns of feral goats in tropical island dry landscapes. In the context of conservation and restoration of tropical island landscapes, the results of our study identify how non-native feral goats use resources across a broad landscape to sustain their populations and facilitate invasion of native plant communities.

","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0119231","usgsCitation":"Chynoweth, M.W., Lepczyk, C., Litton, C.M., Hess, S.C., Kellner, J., and Cordell, S., 2015, Home range use and movement patterns of non-native feral goats in a tropical island montane dry landscape: PLoS ONE, v. 10, no. 3, p. 1-15, https://doi.org/10.1371/journal.pone.0119231.","productDescription":"e0119231; 15 p.","startPage":"1","endPage":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064710","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":472201,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0119231","text":"Publisher Index Page"},{"id":311994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai‘i","otherGeospatial":"Pōhakuloa Training Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.6,\n 19.75\n ],\n [\n -155.6,\n 19.8\n ],\n [\n -155.55,\n 19.8\n ],\n [\n -155.55,\n 19.75\n ],\n [\n -155.6,\n 19.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-25","publicationStatus":"PW","scienceBaseUri":"5666bbdce4b06a3ea36c8b29","contributors":{"authors":[{"text":"Chynoweth, Mark W.","contributorId":62489,"corporation":false,"usgs":true,"family":"Chynoweth","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":581410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lepczyk, Christopher A.","contributorId":24212,"corporation":false,"usgs":true,"family":"Lepczyk","given":"Christopher A.","affiliations":[],"preferred":false,"id":581411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Litton, Creighton M.","contributorId":58534,"corporation":false,"usgs":true,"family":"Litton","given":"Creighton","email":"","middleInitial":"M.","affiliations":[{"id":34391,"text":"Department of Natural Resources and Environmental Management, University of Hawai‘i at Mānoa, Honolulu, Hawaii 96822","active":true,"usgs":false}],"preferred":false,"id":581412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hess, Steve C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":581409,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kellner, James","contributorId":150367,"corporation":false,"usgs":false,"family":"Kellner","given":"James","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":581413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cordell, Susan","contributorId":22221,"corporation":false,"usgs":true,"family":"Cordell","given":"Susan","affiliations":[],"preferred":false,"id":581414,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70143967,"text":"ofr20151054 - 2015 - Evaluation of two juvenile salmon collection devices at Cowlitz Falls Dam, Washington, 2014","interactions":[],"lastModifiedDate":"2015-03-24T16:14:55","indexId":"ofr20151054","displayToPublicDate":"2015-03-24T17:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1054","title":"Evaluation of two juvenile salmon collection devices at Cowlitz Falls Dam, Washington, 2014","docAbstract":"

Collection of juvenile salmon at Cowlitz Falls Dam is a critical part of the effort to restore salmon in the upper Cowlitz River, Washington. Many of the fish that are not collected pass downstream and enter Riffe Lake, become landlocked, and are lost to the anadromous population. In addition to this loss, the juvenile fish collection system at Cowlitz Falls Dam, which originally consisted of four collection flumes, has failed to achieve annual collection goals since it began operating in 1996. In the years since, the collection flumes have been modified and prototype collection devices have been developed and tested, but these efforts have not substantially increased juvenile fish collection. Studies have shown that juvenile steelhead (Oncorhynchus mykiss), coho salmon (Oncorhynchus kisutch), and Chinook salmon (Oncorhynchus tshawytscha) tend to come close to the entrances of the collection system, but many of these fish fail to enter and eventually pass the dam through turbines or spillways.

\n

Tacoma Power developed a prototype weir box in 2009 to increase capture rates of juvenile salmon at the collection entrances. The device was evaluated with radio-tagged coho salmon (318 fish) and Chinook salmon (317 fish), and was found to have a high retention rate; 93 percent of the coho salmon, and 91 percent of the Chinook salmon that entered the device were retained and collected. However, because of safety concerns at the dam, the weir box could not be deployed near a spillway gate where the prototype was tested, so the device was altered and re-deployed at a different location where it was evaluated during 2013. During that year, discovery efficiency (number of fish detected at the entrance divided by the number of fish detected in the forebay) was 98 percent for tagged steelhead and 83 percent for tagged coho salmon. However, none of the steelhead and only 5 percent of the coho salmon entered and were collected through the weir box. These results indicated that the device was not a promising collection alternative during spring months when steelhead and coho salmon are passing the dam. However, collection conditions change during summer months when juvenile Chinook salmon are passing, so the device also was evaluated during summer 2014.

\n

In an attempt to improve overall collection efficiency, Tacoma Power developed and tested a new device in 2014, called the Upper Riffe Lake Collector (URLC). The URLC was a floating device designed to collect fish as they moved downstream after passing through turbines at Cowlitz Falls Dam. The design of the URLC included a pontoon barge that supported a large net structure designed to funnel fish into a live box where they could be removed and transported downstream of dams on the Cowlitz River.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151054","usgsCitation":"Kock, T.J., Liedtke, T.L., Ekstrom, B.K., and Hurst, W., 2015, Evaluation of two juvenile salmon collection devices at Cowlitz Falls Dam, Washington, 2014: U.S. Geological Survey Open-File Report 2015-1054, iv, 30 p., https://doi.org/10.3133/ofr20151054.","productDescription":"iv, 30 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062939","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":298955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151054.jpg"},{"id":298953,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1054/"},{"id":298954,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1054/pdf/ofr2015-1054.pdf","text":"Report","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1054 Report"}],"country":"United States","state":"Washington","otherGeospatial":"Cowlitz Falls Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.50442504882814,\n 46.57302276393836\n ],\n [\n -122.50442504882814,\n 46.693725378358955\n ],\n [\n -122.29980468749999,\n 46.693725378358955\n ],\n [\n -122.29980468749999,\n 46.57302276393836\n ],\n [\n -122.50442504882814,\n 46.57302276393836\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55127ca6e4b02e76d75bd5e5","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":543254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":543255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ekstrom, Brian K. 0000-0002-1162-1780 bekstrom@usgs.gov","orcid":"https://orcid.org/0000-0002-1162-1780","contributorId":3704,"corporation":false,"usgs":true,"family":"Ekstrom","given":"Brian","email":"bekstrom@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":543256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurst, William 0000-0001-5758-8210 whurst@usgs.gov","orcid":"https://orcid.org/0000-0001-5758-8210","contributorId":139838,"corporation":false,"usgs":true,"family":"Hurst","given":"William","email":"whurst@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":543257,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148094,"text":"70148094 - 2015 - Downscaling 250-m MODIS growing season NDVI based on multiple-date landsat images and data mining approaches","interactions":[],"lastModifiedDate":"2017-01-18T10:04:27","indexId":"70148094","displayToPublicDate":"2015-03-24T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling 250-m MODIS growing season NDVI based on multiple-date landsat images and data mining approaches","docAbstract":"

The satellite-derived growing season time-integrated Normalized Difference Vegetation Index (GSN) has been used as a proxy for vegetation biomass productivity. The 250-m GSN data estimated from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors have been used for terrestrial ecosystem modeling and monitoring. High temporal resolution with a wide range of wavelengths make the MODIS land surface products robust and reliable. The long-term 30-m Landsat data provide spatial detailed information for characterizing human-scale processes and have been used for land cover and land change studies. The main goal of this study is to combine 250-m MODIS GSN and 30-m Landsat observations to generate a quality-improved high spatial resolution (30-m) GSN database. A rule-based piecewise regression GSN model based on MODIS and Landsat data was developed. Results show a strong correlation between predicted GSN and actual GSN (r = 0.97, average error = 0.026). The most important Landsat variables in the GSN model are Normalized Difference Vegetation Indices (NDVIs) in May and August. The derived MODIS-Landsat-based 30-m GSN map provides biophysical information for moderate-scale ecological features. This multiple sensor study retains the detailed seasonal dynamic information captured by MODIS and leverages the high-resolution information from Landsat, which will be useful for regional ecosystem studies.

","language":"English","publisher":"Molecular Diversity Preservation International","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs70403489","usgsCitation":"Gu, Y., and Wylie, B.K., 2015, Downscaling 250-m MODIS growing season NDVI based on multiple-date landsat images and data mining approaches: Remote Sensing, v. 7, no. 4, p. 3489-3506, https://doi.org/10.3390/rs70403489.","productDescription":"18 p.","startPage":"3489","endPage":"3506","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064005","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472202,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70403489","text":"Publisher Index Page"},{"id":300605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-24","publicationStatus":"PW","scienceBaseUri":"555db03ee4b0a92fa7eb82fc","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":547324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":547325,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70162624,"text":"70162624 - 2015 - Presence and abundance of non-native plant species associated with recent energy development in the Williston Basin","interactions":[],"lastModifiedDate":"2016-01-27T12:57:53","indexId":"70162624","displayToPublicDate":"2015-03-24T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Presence and abundance of non-native plant species associated with recent energy development in the Williston Basin","docAbstract":"

The Williston Basin, located in the Northern Great Plains, is experiencing rapid energy development with North Dakota and Montana being the epicenter of current and projected development in the USA. The average single-bore well pad is 5 acres with an estimated 58,485 wells in North Dakota alone. This landscape-level disturbance may provide a pathway for the establishment of non-native plants. To evaluate potential influences of energy development on the presence and abundance of non-native species, vegetation surveys were conducted at 30 oil well sites (14 ten-year-old and 16 five-year-old wells) and 14 control sites in native prairie environments across the Williston Basin. Non-native species richness and cover were recorded in four quadrats, located at equal distances, along four transects for a total of 16 quadrats per site. Non-natives were recorded at all 44 sites and ranged from 5 to 13 species, 7 to 15 species, and 2 to 8 species at the 10-year, 5-year, and control sites, respectively. Respective non-native cover ranged from 1 to 69, 16 to 76, and 2 to 82 %. Total, forb, and graminoid non-native species richness and non-native forb cover were significantly greater at oil well sites compared to control sites. At oil well sites, non-native species richness and forb cover were significantly greater adjacent to the well pads and decreased with distance to values similar to control sites. Finally, non-native species whose presence and/or abundance were significantly greater at oil well sites relative to control sites were identified to aid management efforts.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10661-015-4408-7","collaboration":"Plains and Prairies Landscape Conservation Cooperative","usgsCitation":"Preston, T.M., 2015, Presence and abundance of non-native plant species associated with recent energy development in the Williston Basin: Environmental Monitoring and Assessment, v. 187, no. 200, 16 p., https://doi.org/10.1007/s10661-015-4408-7.","productDescription":"16 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057520","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":314924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.435546875,\n 48.9513664709477\n ],\n [\n -106.69921875,\n 48.07807894349862\n ],\n [\n -105.2490234375,\n 47.249406957888446\n ],\n [\n -104.0625,\n 46.6795944656402\n ],\n [\n -102.4365234375,\n 46.34692761055676\n ],\n [\n -100.01953125,\n 46.58906908309182\n ],\n [\n -99.0966796875,\n 47.07012182383309\n ],\n [\n -99.0966796875,\n 47.724544549099676\n ],\n [\n -99.052734375,\n 49.009050809382046\n ],\n [\n -106.435546875,\n 48.9513664709477\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"187","issue":"200","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-24","publicationStatus":"PW","scienceBaseUri":"56a9f849e4b012c193aa3ed8","contributors":{"authors":[{"text":"Preston, Todd M. 0000-0002-8812-9233 tmpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":1664,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"tmpreston@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589940,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148107,"text":"70148107 - 2015 - Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook salmon ESU, 1/1/2014 - 12/31/2014","interactions":[],"lastModifiedDate":"2016-04-26T15:45:36","indexId":"70148107","displayToPublicDate":"2015-03-24T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook salmon ESU, 1/1/2014 - 12/31/2014","docAbstract":"

The portion of the Snake River fall Chinook Salmon Oncorhynchus tshawytscha ESU that spawns upstream of Lower Granite Dam transitioned from low to high abundance during 1992–2014 in association with U.S. Endangered Species Act recovery efforts and other Federally mandated actions. This annual report focuses on (1) numeric and habitat use responses by natural- and hatchery-origin spawners, (2) phenotypic and numeric responses by natural-origin juveniles, and (3) predator responses in the Snake River upper and lower reaches as abundance of adult and juvenile fall Chinook Salmon increased. Spawners have located and used most of the available spawning habitat and that habitat is gradually approaching redd capacity. Timing of spawning and fry emergence has been relatively stable; whereas the timing of parr dispersal from riverine rearing habitat into Lower Granite Reservoir has become earlier as apparent abundance of juveniles has increased. Growth rate (g/d) and dispersal size of parr also declined as apparent abundance of juveniles increased. Passage timing of smolts from the two Snake River reaches has become earlier and downstream movement rate faster as estimated abundance of fall Chinook Salmon smolts in Lower Granite Reservoir has increased. In 2014, consumption of subyearlings by Smallmouth Bass was highest in the upper reach which had the highest abundance of Bass. With a few exceptions, predation tended to decrease seasonally from April through early July. A release of hatchery fish in mid-May significantly increased subyearling consumption by the following day. We estimated that over 600,000 subyearling fall Chinook Salmon were lost to Smallmouth Bass predation along the free-flowing Snake River in 2014. More information on predation is presented in Appendix A.3 (page 51). These findings coupled with stock-recruitment analyses presented in this report provide evidence for density-dependence in the Snake River reaches and in Lower Granite Reservoir that was influenced by the expansion of the recovery program. The long-term goal is to use the information covered here in a comprehensive modeling effort to conduct action effectiveness and uncertainty research and to inform fish population, hydrosystem, harvest, hatchery, and predation and invasive species management RM&E.

","language":"English","publisher":"Bonneville Power Administration","collaboration":"Report covers work performed under Bonneville Power Administration Contract # 272492","usgsCitation":"Connor, W.P., Mullins, F.L., Tiffan, K.F., Perry, R.W., Erhardt, J.M., St John, S.J., Bickford, B.K., and Rhodes, T.N., 2015, Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook salmon ESU, 1/1/2014 - 12/31/2014, 80 p.","productDescription":"80 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064908","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":300642,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/DocumentViewer.aspx?doc=P143326","text":"Report","size":"1.05 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Tajikistan, and India: Chapter X in Global mineral resource assessment","interactions":[{"subject":{"id":70138819,"text":"sir20105090X - 2015 - Porphyry copper assessment of the Central Asian Orogenic Belt and eastern Tethysides: China, Mongolia, Russia, Pakistan, Kazakhstan, Tajikistan, and India: Chapter X in Global mineral resource assessment","indexId":"sir20105090X","publicationYear":"2015","noYear":false,"chapter":"X","title":"Porphyry copper assessment of the Central Asian Orogenic Belt and eastern Tethysides: China, Mongolia, Russia, Pakistan, Kazakhstan, Tajikistan, and India: Chapter X in Global mineral resource assessment"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource 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The U.S. Geological Survey collaborated with international colleagues to assess undiscovered resources in porphyry copper deposits in the Central Asian Orogenic Belt and eastern Tethysides. These areas host 20 known porphyry copper deposits, including the world class Oyu Tolgoi deposit in Mongolia that was discovered in the late 1990s. The study area covers major parts of the world’s largest orogenic systems. The Central Asian Orogenic Belt is a collage of amalgamated Precambrian through Mesozoic terranes that extends from the Ural Mountains in the west nearly to the Pacific Coast of Asia in the east and records the evolution and final closure of the Paleo-Asian Ocean in Permian time. The eastern Tethysides, the orogenic belt to the south of the Central Asian Orogenic Belt, records the evolution of another ancient ocean system, the Tethys Ocean. The evolution of these orogenic belts involved magmatism associated with a variety of geologic settings appropriate for formation of porphyry copper deposits, including subduction-related island arcs, continental arcs, and collisional and postconvergent settings. The original settings are difficult to trace because the arcs have been complexly deformed and dismembered by younger tectonic events. Twelve mineral resource assessment tracts were delineated to be permissive for the occurrence of porphyry copper deposits based on mapped and inferred subsurface distributions of igneous rocks of specific age ranges and compositions. These include (1) nine Paleozoic tracts in the Central Asian Orogenic Belt, which range in area from about 60,000 to 800,000 square kilometers (km2); (2) a complex area of about 400,000 km2 on the northern margin of the Tethysides, the Qinling-Dabie tract, which spans central China and areas to the west, encompassing Paleozoic through Triassic igneous rocks that formed in diverse settings; and (3) assemblages of late Paleozoic and Mesozoic rocks that define two other tracts in the Tethysides, the 100,000 km2 Jinsajiang tract and the 300,000 km2 Tethyan-Gangdese tract. Assessment participants evaluated applicable grade and tonnage models and estimated numbers of undiscovered deposits at different confidence levels for each permissive tract. The estimates were then combined with the selected grade and tonnage models using Monte Carlo simulations to generate probabilistic estimates of undiscovered resources. Additional resources in extensions of deposits with identified resources were not specifically evaluated. Assessment results, presented in tables and graphs, show amounts of metal and rock in undiscovered deposits at selected quantile levels of probability (0.95, 0.9, 0.5, 0.1, and 0.05 confidence levels), as well as the arithmetic mean and associated standard deviations and variances for each tract. This assessment estimated a total of 97 undiscovered porphyry copper deposits within the assessed permissive tracts. This represents nearly five times the 20 known deposits. Predicted mean resources that could be associated with these undiscovered deposits are about 370,000,000 metric tons (t) of copper, 10,000 t of gold, 7,700,000 t of molybdenum, and 120,000 t of silver. The assessment area is estimated to contain about five times as much copper in undiscovered deposits as has been identified to date. This report includes a summary of the data used in the assessment, a brief overview of the geologic framework of the area, descriptions of permissive tracts and known deposits, maps, and tables. A geographic information system database that accompanies this report includes the tract boundaries and known porphyry copper deposits, significant prospects, and prospects. Assessments of overlapping younger rocks and adjacent areas are included in separate reports available on-line at http://minerals.usgs.gov/global/.

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Yan","contributorId":139829,"corporation":false,"usgs":false,"family":"Guangsheng","given":"Yan","email":"","affiliations":[{"id":13289,"text":"China Geological Survey, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":543178,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Changyun, Lian","contributorId":139830,"corporation":false,"usgs":false,"family":"Changyun","given":"Lian","email":"","affiliations":[{"id":13289,"text":"China Geological Survey, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":543179,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Jingwen, Mao","contributorId":139831,"corporation":false,"usgs":false,"family":"Jingwen","given":"Mao","email":"","affiliations":[{"id":13290,"text":"Chinese Academy of Geological Sciences, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":543180,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Jinyi, Li","contributorId":139832,"corporation":false,"usgs":false,"family":"Jinyi","given":"Li","email":"","affiliations":[{"id":13289,"text":"China Geological Survey, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":543181,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Keyan, Xiao","contributorId":139833,"corporation":false,"usgs":false,"family":"Keyan","given":"Xiao","email":"","affiliations":[{"id":13289,"text":"China Geological Survey, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":543182,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Ruizhao, Qiu","contributorId":139834,"corporation":false,"usgs":false,"family":"Ruizhao","given":"Qiu","email":"","affiliations":[{"id":13291,"text":"China Geological Survey, Beijing, China.","active":true,"usgs":false}],"preferred":false,"id":543183,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Jianbao, Shao","contributorId":139835,"corporation":false,"usgs":false,"family":"Jianbao","given":"Shao","email":"","affiliations":[{"id":13291,"text":"China Geological Survey, Beijing, China.","active":true,"usgs":false}],"preferred":false,"id":543184,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Gangyi, Shai","contributorId":139836,"corporation":false,"usgs":false,"family":"Gangyi","given":"Shai","email":"","affiliations":[{"id":13291,"text":"China Geological Survey, Beijing, China.","active":true,"usgs":false}],"preferred":false,"id":543185,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Yuliang, Du","contributorId":139837,"corporation":false,"usgs":false,"family":"Yuliang","given":"Du","email":"","affiliations":[{"id":13291,"text":"China Geological Survey, Beijing, China.","active":true,"usgs":false}],"preferred":false,"id":543186,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70141451,"text":"sir20155029 - 2015 - Detailed interpretation of aeromagnetic data from the Patagonia Mountains area, southeastern Arizona","interactions":[],"lastModifiedDate":"2015-03-24T09:15:44","indexId":"sir20155029","displayToPublicDate":"2015-03-24T10:15:00","publicationYear":"2015","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":"2015-5029","title":"Detailed interpretation of aeromagnetic data from the Patagonia Mountains area, southeastern Arizona","docAbstract":"

The induced magnetic field and the remanent magnetic field of rock masses are important to geologic modeling based on Earth’s magnetic field data. The orientation of the induced magnetic field is approximately parallel to the orientation of Earth’s geomagnetic field and its intensity can be derived from measured magnetic susceptibilities of rocks in a study area. The orientation and intensity of the natural remanent magnetic field is much harder to determine; therefore, few investigators have included magnetic remanence as a contributing factor to studies of continental magnetic anomalies. All rocks have remanent magnetism and, in intrusive or volcanic rocks, this component of the total magnetic intensity of the Earth’s magnetic field can be as large as or larger than the induced component.

\n

The Patagonia Mountains in southeastern Arizona were selected to produce a subsurface geologic model from aeromagnetic data by incorporating physical properties of rock including measured magnetic susceptibilities, estimated remanent magnetic field orientations and intensities, a known association of intrusive events, and information from existing geologic mapping. The result is a model of geology at depth that may better represent reality than previous poorly substantiated cross sectional models. This new model includes concealed intrusive rocks and defines areas where concealed mineral deposits may be found. It also shows that volcanic rocks might occupy basins at relatively shallow depths in basins with low aeromagnetic anomalies.

\n

Euler deconvolution depth estimates derived from aeromagnetic data with a structural index of 0 show that mapped faults on the northern margin of the Patagonia Mountains generally agree with the depth estimates in the new geologic model. The deconvolution depth estimates also show that the concealed Patagonia Fault southwest of the Patagonia Mountains is more complex than recent geologic mapping represents. Additionally, Euler deconvolution depth estimates with a structural index of 2 locate many potential intrusive bodies that might be associated with known and unknown mineralization.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155029","usgsCitation":"Bultman, M.W., 2015, Detailed interpretation of aeromagnetic data from the Patagonia Mountains area, southeastern Arizona: U.S. Geological Survey Scientific Investigations Report 2015-5029, iv, 25 p., https://doi.org/10.3133/sir20155029.","productDescription":"iv, 25 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-046013","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":298881,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5029/"},{"id":298886,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5029/pdf/sir2015-5029.pdf","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":298888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155029.jpg"}],"projection":"United States Continuous Albers Equal Area Conic project USGS version","country":"United States","state":"Arizona","otherGeospatial":"Patagonia Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.82321166992188,\n 31.33252503230784\n ],\n [\n -110.82321166992188,\n 31.577365480690492\n ],\n [\n -110.6378173828125,\n 31.577365480690492\n ],\n [\n -110.6378173828125,\n 31.33252503230784\n ],\n [\n -110.82321166992188,\n 31.33252503230784\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55127ca5e4b02e76d75bd5e3","contributors":{"authors":[{"text":"Bultman, Mark W. 0000-0001-8352-101X mbultman@usgs.gov","orcid":"https://orcid.org/0000-0001-8352-101X","contributorId":3348,"corporation":false,"usgs":true,"family":"Bultman","given":"Mark","email":"mbultman@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":543101,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70143873,"text":"70143873 - 2015 - Wide-area ratios of evapotranspiration to precipitation in monsoon-dependent semiarid vegetation communities","interactions":[],"lastModifiedDate":"2015-03-23T15:09:50","indexId":"70143873","displayToPublicDate":"2015-03-23T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Wide-area ratios of evapotranspiration to precipitation in monsoon-dependent semiarid vegetation communities","docAbstract":"

Evapotranspiration (ET) and the ratio of ET to precipitation (PPT) are important factors in the water budget of semiarid rangelands and are in part determined by the dominant plant communities. Our goal was to see if landscape changes such as tree or shrub encroachment and replacement of native grasses by invasive grasses impacted ET and ET/PPT and therefore watershed hydrology in this biome. We determined ET and ET/PPT for shrublands, grasslands and mesquite savannas in southern Arizona at five moisture flux towers and determined the environmental factors controlling ET in each plant community. We then scaled ET over areas of 4–36 km2, representing homogeneous patches of each plant community, using the Enhanced Vegetation Index (EVI) from MODIS sensors on the Terra satellite. Over wide areas, estimated ET/PPT projected from MODIS EVI ranged from 0.71 for a sparsely-vegetated shrub site to 1.00 for grasslands and mesquite savannas. The results did not support hypotheses that encroachment of mesquites into grasslands or that replacement of native grasses with introduced Eragrostis lehmanniana (lehmann lovegrass) have increased rangeland ET.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2015.02.010","usgsCitation":"Glenn, E., Scott, R.L., Nguyen, U., and Nagler, P.L., 2015, Wide-area ratios of evapotranspiration to precipitation in monsoon-dependent semiarid vegetation communities: Journal of Arid Environments, v. 117, p. 84-95, https://doi.org/10.1016/j.jaridenv.2015.02.010.","productDescription":"12 p.","startPage":"84","endPage":"95","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057910","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":298879,"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 -111.05804443359375,\n 31.59959193922864\n ],\n [\n -111.05804443359375,\n 31.961483557268558\n ],\n [\n -109.71221923828125,\n 31.961483557268558\n ],\n [\n -109.71221923828125,\n 31.59959193922864\n ],\n [\n -111.05804443359375,\n 31.59959193922864\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55112b21e4b02e76d75b50bc","contributors":{"authors":[{"text":"Glenn, Edward P.","contributorId":56542,"corporation":false,"usgs":false,"family":"Glenn","given":"Edward P.","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":543095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Russell L.","contributorId":39875,"corporation":false,"usgs":false,"family":"Scott","given":"Russell","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":543096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nguyen, Uyen","contributorId":71863,"corporation":false,"usgs":false,"family":"Nguyen","given":"Uyen","email":"","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":543097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543098,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70147867,"text":"70147867 - 2015 - Recovery of a mining-damaged stream ecosystem","interactions":[],"lastModifiedDate":"2015-09-14T11:43:45","indexId":"70147867","displayToPublicDate":"2015-03-23T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Recovery of a mining-damaged stream ecosystem","docAbstract":"

This paper presents a 30+ year record of changes in benthic macroinvertebrate communities and fish populations associated with improving water quality in mining-influenced streams. Panther Creek, a tributary to the Salmon River in central Idaho, USA suffered intensive damage from mining and milling operations at the Blackbird Mine that released copper (Cu), arsenic (As), and cobalt (Co) into tributaries. From the 1960s through the 1980s, no fish and few aquatic invertebrates could be found in 40 km of mine-affected reaches of Panther Creek downstream of the metals contaminated tributaries, Blackbird and Big Deer Creeks.

\n

Efforts to restore water quality began in 1995, and by 2002 Cu levels had been reduced by about 90%, with incremental declines since. Rainbow Trout (Oncorhynchus mykiss) were early colonizers, quickly expanding their range as areas became habitable when Cu concentrations dropped below about 3X the U.S. Environmental Protection Agency's biotic ligand model (BLM) based chronic aquatic life criterion. Anadromous Chinook Salmon (O. tshawytscha) and steelhead (O. mykiss) have also reoccupied Panther Creek. Full recovery of salmonid populations occurred within about 12-years after the onset of restoration efforts and about 4-years after the Cu chronic criteria had mostly been met, with recovery interpreted as similarity in densities, biomass, year class strength, and condition factors between reference sites and mining-influenced sites. Shorthead Sculpin (Cottus confusus) were slower than salmonids to disperse and colonize. While benthic macroinvertebrate biomass has increased, species richness has plateaued at about 70 to 90% of reference despite the Cu criterion having been met for several years. Different invertebrate taxa had distinctly different recovery trajectories. Among the slowest taxa to recover were Ephemerella, Cinygmula and Rhithrogena mayflies, Enchytraeidae oligochaetes, and Heterlimnius aquatic beetles. Potential reasons for the failure of some invertebrate taxa to recover include competition, and high sensitivity to Co and Cu.

","language":"English","publisher":"Harwood Academic","publisherLocation":"Yverdon, Switzerland","doi":"10.12952/journal.elementa.000042","collaboration":"Rio Tinto","usgsCitation":"Mebane, C.A., Eakins, R.J., Fraser, B.G., and Adams, W.J., 2015, Recovery of a mining-damaged stream ecosystem: Elementa: Science of the Anthropocene, v. 3, p. 1-34, https://doi.org/10.12952/journal.elementa.000042.","productDescription":"34 p.","startPage":"1","endPage":"34","numberOfPages":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042317","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":472203,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.12952/journal.elementa.000042","text":"Publisher Index Page"},{"id":308101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Panther Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.74395751953125,\n 44.72917434046452\n ],\n [\n -114.74395751953125,\n 45.04053733158769\n ],\n [\n -114.2633056640625,\n 45.04053733158769\n ],\n [\n -114.2633056640625,\n 44.72917434046452\n ],\n [\n -114.74395751953125,\n 44.72917434046452\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-23","publicationStatus":"PW","scienceBaseUri":"55f7efc4e4b05d6c4e4fa997","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eakins, Robert J.","contributorId":140637,"corporation":false,"usgs":false,"family":"Eakins","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":13541,"text":"EcoMetrix Ltd, Brampton, ON Canada","active":true,"usgs":false}],"preferred":false,"id":546351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraser, Brian G.","contributorId":140636,"corporation":false,"usgs":false,"family":"Fraser","given":"Brian","email":"","middleInitial":"G.","affiliations":[{"id":13541,"text":"EcoMetrix Ltd, Brampton, ON Canada","active":true,"usgs":false}],"preferred":false,"id":546350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, William J.","contributorId":140638,"corporation":false,"usgs":false,"family":"Adams","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":13542,"text":"Rio Tinto, Lake Point, UT","active":true,"usgs":false}],"preferred":false,"id":546352,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70143511,"text":"ds924 - 2015 - Archive of digital chirp subbottom profile data collected during USGS Cruise 13CCT04 offshore of Petit Bois Island, Mississippi, August 2013","interactions":[],"lastModifiedDate":"2015-06-04T10:32:18","indexId":"ds924","displayToPublicDate":"2015-03-23T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"924","title":"Archive of digital chirp subbottom profile data collected during USGS Cruise 13CCT04 offshore of Petit Bois Island, Mississippi, August 2013","docAbstract":"

From August 13-23, 2013, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE) conducted geophysical surveys to investigate the geologic controls on barrier island framework and long-term sediment transport offshore of Petit Bois Island, Mississippi. This investigation is part of a broader USGS study on Coastal Change and Transport (CCT). These surveys were funded through the Mississippi Coastal Improvements Program (MsCIP) with partial funding provided by the Northern Gulf of Mexico Ecosystem Change and Hazard Susceptibility Project. This report serves as an archive of unprocessed digital chirp subbottom data, trackline maps, navigation files, Geographic Information System (GIS) files, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata. Gained-showing a relative increase in signal amplitude-digital images of the seismic profiles are provided.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds924","usgsCitation":"Forde, A.S., Flocks, J.G., Kindinger, J.L., Bernier, J., Kelso, K.W., and Wiese, D.S., 2015, Archive of digital chirp subbottom profile data collected during USGS Cruise 13CCT04 offshore of Petit Bois Island, Mississippi, August 2013: U.S. Geological Survey Data Series 924, HTML Document; 3 DVDs, https://doi.org/10.3133/ds924.","productDescription":"HTML Document; 3 DVDs","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2013-08-01","temporalEnd":"2013-08-31","ipdsId":"IP-056854","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":298864,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0924/"},{"id":298866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds924.jpg"},{"id":298865,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0924/html/ds924_home.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DS 924 Report"}],"country":"United States","state":"Mississippi","otherGeospatial":"Petit Bois Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.58139038085938,\n 30.098207342112747\n ],\n [\n -88.58139038085938,\n 30.32902735042595\n ],\n [\n -88.34037780761719,\n 30.32902735042595\n ],\n [\n -88.34037780761719,\n 30.098207342112747\n ],\n [\n -88.58139038085938,\n 30.098207342112747\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55112b18e4b02e76d75b50b2","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":543049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":548206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542734,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70142354,"text":"70142354 - 2015 - Relative importance of phosphorus, invasive mussels and climate for patterns in chlorophyll a and primary production in Lakes Michigan and Huron","interactions":[],"lastModifiedDate":"2015-10-21T11:30:11","indexId":"70142354","displayToPublicDate":"2015-03-23T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Relative importance of phosphorus, invasive mussels and climate for patterns in chlorophyll a and primary production in Lakes Michigan and Huron","docAbstract":"

1. Lakes Michigan and Huron, which are undergoing oligotrophication after reduction of phosphorus loading, invasion by dreissenid mussels and variation in climate, provide an opportunity to conduct large-scale evaluation of the relative importance of these changes for lake productivity. We used remote sensing, field data and an information-theoretic approach to identify factors that showed statistical relationships with observed changes in chlorophyll a (chla) and primary production (PP).
2. Spring phosphorus (TP), annual mean chla and PP have all declined significantly in both lakes since the late 1990s. Additionally, monthly mean values of chla have decreased in many but not all months, indicating altered seasonal patterns. The most striking change has been the decrease in chla concentration during the spring bloom.
3. Mean chlorophyll a concentration was 17% higher in Lake Michigan than in Lake Huron, and total production for 2008 in Lake Michigan (9.5 tg year 1 ) was 10% greater than in Lake Huron (7.8 tg year 1 ), even though Lake Michigan is slightly smaller (by 3%) than Lake Huron. Differences between the lakes in the early 1970s evidently persisted to 2008.
4. Invasive mussels influenced temporal trends in spring chla and annual primary production. However, TP had a greater effect on chla and primary production than did the mussels, and TP varied independently from them. Two climatic variables (precipitation and air temperature in the basins) influenced annual chla and annual PP, while the extent of ice cover influenced TP but not chla or primary production. Our results demonstrate that observed temporal patterns in chla and PP are the result of complex interactions of P, climate and invasive mussels.

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Center","active":true,"usgs":true}],"preferred":true,"id":541848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lesht, Barry M.","contributorId":72711,"corporation":false,"usgs":true,"family":"Lesht","given":"Barry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":541849,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70142972,"text":"ofr20151042 - 2015 - Use of satellite images to determine surface-water cover during the flood event of September 13, 2013, in Lyons and western Longmont, Colorado","interactions":[],"lastModifiedDate":"2015-03-23T12:07:41","indexId":"ofr20151042","displayToPublicDate":"2015-03-23T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1042","title":"Use of satellite images to determine surface-water cover during the flood event of September 13, 2013, in Lyons and western Longmont, Colorado","docAbstract":"

The flooding that occurred in north-central Colorado in 2013 was some of the most destructive in the state’s history. Following a summer of drought and wildfires, a wet weather system stalled over the Front Range area from Fort Collins in the north to Colorado Springs in the south, including the cities of Lyons and Longmont. This weather system produced rainfall amounts that greatly exceeded historical highs. The Colorado Office of Emergency Management reported at least eight deaths. More than 11,000 people were evacuated from their homes, and the flooding caused an estimated $2 billion dollars in damages. On September 14, 2013, President Barack Obama issued a major disaster declaration for 15 Colorado counties affected by the severe weather and related damage.

\n

To support local, State, and Federal disaster response coordination efforts in Colorado, the U.S. Geological Survey (USGS) developed a geospatial product to identify surface-water cover from Lyons to western Longmont. This information was derived from September 13, 2013 WorldView-2 multispectral imagery at a spatial resolution of 3 meters (m). These data were orthocorrected and pan-sharpened. Three spectral indices (NDVI, NDWI, and NDTI) that were computed from this processed imagery were used to help determine the extent of the surface-water cover. The result was converted to a vector format.

\n

This surface-water cover dataset was created as a timely representation of post-flood ground conditions to support response efforts. This dataset and all processed imagery and derived products were uploaded to the USGS Hazards Data Distribution System (HDDS) website (http://hddsexplorer.usgs.gov/uplift/hdds/) for distribution to those responding to the flood event.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151042","usgsCitation":"Cole, C.J., Friesen, B.A., Wilson, E.M., Wilds, S.R., and Noble, S.M., 2015, Use of satellite images to determine surface-water cover during the flood event of September 13, 2013, in Lyons and western Longmont, Colorado: U.S. Geological Survey Open-File Report 2015-1042, 42.0 x 29.0 inches, https://doi.org/10.3133/ofr20151042.","productDescription":"42.0 x 29.0 inches","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-09-13","temporalEnd":"2013-09-13","ipdsId":"IP-059354","costCenters":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"links":[{"id":298870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151042.jpg"},{"id":298869,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1042/pdf/ofr2015-1042.pdf","text":"Report","size":"9.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298868,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1042/"}],"scale":"15000","projection":"Universal Transverse Mercator projection, zone 13N","datum":"World Geodetic System of 1984","country":"United States","state":"Colorado","city":"Longmont, Lyons","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.28352737426758,\n 40.166543612622554\n ],\n [\n -105.28352737426758,\n 40.24179856487036\n ],\n [\n -105.13040542602539,\n 40.24179856487036\n ],\n [\n -105.13040542602539,\n 40.166543612622554\n ],\n [\n -105.28352737426758,\n 40.166543612622554\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55112b1fe4b02e76d75b50ba","contributors":{"authors":[{"text":"Cole, Christopher J. cjcole@usgs.gov","contributorId":2163,"corporation":false,"usgs":true,"family":"Cole","given":"Christopher","email":"cjcole@usgs.gov","middleInitial":"J.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":543060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friesen, Beverly A. bafriesen@usgs.gov","contributorId":3216,"corporation":false,"usgs":true,"family":"Friesen","given":"Beverly","email":"bafriesen@usgs.gov","middleInitial":"A.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":543061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Earl M. emwilson@usgs.gov","contributorId":4124,"corporation":false,"usgs":true,"family":"Wilson","given":"Earl","email":"emwilson@usgs.gov","middleInitial":"M.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":543062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilds, Stanley R. srwilds@usgs.gov","contributorId":3399,"corporation":false,"usgs":true,"family":"Wilds","given":"Stanley","email":"srwilds@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":543063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noble, Suzanne M. smnoble@usgs.gov","contributorId":3400,"corporation":false,"usgs":true,"family":"Noble","given":"Suzanne","email":"smnoble@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":543064,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70141916,"text":"sir20155033 - 2015 - Geospatial assessment of ecological functions and flood-related risks on floodplains along major rivers in the Puget Sound Basin, Washington","interactions":[],"lastModifiedDate":"2019-06-19T09:50:10","indexId":"sir20155033","displayToPublicDate":"2015-03-23T11:00:00","publicationYear":"2015","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":"2015-5033","title":"Geospatial assessment of ecological functions and flood-related risks on floodplains along major rivers in the Puget Sound Basin, Washington","docAbstract":"

Ecological functions and flood-related risks were assessed for floodplains along the 17 major rivers flowing into Puget Sound Basin, Washington. The assessment addresses five ecological functions, five components of flood-related risks at two spatial resolutions—fine and coarse. The fine-resolution assessment compiled spatial attributes of floodplains from existing, publicly available sources and integrated the attributes into 10-meter rasters for each function, hazard, or exposure. The raster values generally represent different types of floodplains with regard to each function, hazard, or exposure rather than the degree of function, hazard, or exposure. The coarse-resolution assessment tabulates attributes from the fine-resolution assessment for larger floodplain units, which are floodplains associated with 0.1 to 21-kilometer long segments of major rivers. The coarse-resolution assessment also derives indices that can be used to compare function or risk among different floodplain units and to develop normative (based on observed distributions) standards. The products of the assessment are available online as geospatial datasets (Konrad, 2015; http://dx.doi.org/10.5066/F7DR2SJC).

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2015 - The 3D Elevation Program: summary for West Virginia","interactions":[],"lastModifiedDate":"2016-08-17T15:04:48","indexId":"fs20153017","displayToPublicDate":"2015-03-23T10:45:00","publicationYear":"2015","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":"2015-3017","title":"The 3D Elevation Program: summary for West Virginia","docAbstract":"

Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of West Virginia, elevation data are critical for natural resources conservation, flood risk management, forest resources management, infrastructure and construction management, agriculture and precision farming, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.

\n

The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey, the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.

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