Lake Clark is an important nursery lake for sockeye salmon (Oncorhynchus nerka) in the headwaters of Bristol Bay, Alaska, the most productive wild salmon fishery in the world. Reductions in water clarity within Alaska lake systems as a result of increased glacial runoff have been shown to reduce salmon production via reduced abundance of zooplankton and macroinvertebrates. In this study, we reconstruct long-term, lake-wide water clarity for Lake Clark using the Landsat TM and ETM+ surface reflectance products (1985–2014) and in situwater clarity data collected between 2009 and 2013. Analysis of a Landsat scene acquired in 2009, coincident with in situ measurements in the lake, and uncertainty analysis with four scenes acquired within two weeks of field data collection showed that Band 3 surface reflectance was the best indicator of turbidity (r2 = 0.55,RMSE << 0.01). We then processed 151 (98 partial- and 53 whole-lake) Landsat scenes using this relation and detected no significant long-term trend in mean turbidity for Lake Clark between 1991 and 2014. We did, however, detect interannual variation that exhibited a non-significant (r2 = 0.20) but positive correlation (r = 0.20) with regional mean summer air temperature and found the month of May exhibited a significant positive trend (r2 = 0.68, p = 0.02) in turbidity between 2000 and 2014. This study demonstrates the utility of hindcasting turbidity in a glacially influenced lake using the Landsat surface reflectance products. It may also help land and resource managers reconstruct turbidity records for lakes that lack in situ monitoring, and may be useful in predicting future water clarity conditions based on projected climate scenarios.
","language":"English","publisher":"MDPI","doi":"10.3390/rs71013692","usgsCitation":"Baughman, C., Jones, B.M., Bartz, K.K., Young, D.B., and Zimmerman, C.E., 2015, Reconstructing turbidity in a glacially influenced lake using the Landsat TM and ETM+ surface reflectance climate data record archive, Lake Clark, Alaska: Remote Sensing, v. 7, no. 10, p. 13692-13710, https://doi.org/10.3390/rs71013692.","productDescription":"19 p.","startPage":"13692","endPage":"13710","ipdsId":"IP-066580","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":471755,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs71013692","text":"Publisher Index Page"},{"id":349242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Clark","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.84954833984375,\n 60.0113438097352\n ],\n [\n -153.57513427734375,\n 60.0113438097352\n ],\n [\n -153.57513427734375,\n 60.45992621736877\n ],\n [\n -154.84954833984375,\n 60.45992621736877\n ],\n [\n -154.84954833984375,\n 60.0113438097352\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-20","publicationStatus":"PW","scienceBaseUri":"5a60fe67e4b06e28e9c252f3","contributors":{"authors":[{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":723094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":723095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartz, Krista K.","contributorId":200705,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":723097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":723098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":723096,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193652,"text":"70193652 - 2015 - Delayed dynamic triggering of deep tremor along the Parkfield-Cholame section of the San Andreas Fault following the 2014 M6.0 South Napa earthquake","interactions":[],"lastModifiedDate":"2017-11-02T13:46:22","indexId":"70193652","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Delayed dynamic triggering of deep tremor along the Parkfield-Cholame section of the San Andreas Fault following the 2014 M6.0 South Napa earthquake","docAbstract":"Large, distant earthquakes are known to trigger deep tectonic tremor along the San Andreas Fault and in subduction zones. However, there are relatively few observations of triggering from regional distance earthquakes. Here we show that a small tremor episode about 12–18 km NW of Parkfield was triggered during and immediately following the passage of surface waves from the 2014 Mw 6.0 South Napa main shock. More notably, a major tremor episode followed, beginning about 12 h later, and centered SE of Parkfield near Cholame. This major episode is one of the largest seen over the past several years, containing intense activity for ~3 days and taking more than 3 weeks to return to background levels. This episode showed systematic along-strike migration at ~5 km/d, suggesting that it was driven by a slow-slip event. Our results suggest that moderate-size earthquakes are capable of triggering major tremor and deep slow slip at regional distances.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL065277","usgsCitation":"Peng, Z., Shelly, D.R., and Ellsworth, W.L., 2015, Delayed dynamic triggering of deep tremor along the Parkfield-Cholame section of the San Andreas Fault following the 2014 M6.0 South Napa earthquake: Geophysical Research Letters, v. 42, no. 19, p. 7916-7922, https://doi.org/10.1002/2015GL065277.","productDescription":"7 p.","startPage":"7916","endPage":"7922","ipdsId":"IP-066859","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl065277","text":"Publisher Index Page"},{"id":348100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124,\n 35\n ],\n [\n -119,\n 35\n ],\n [\n -119,\n 39\n ],\n [\n -124,\n 39\n ],\n [\n -124,\n 35\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"19","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-03","publicationStatus":"PW","scienceBaseUri":"59fc2ea8e4b0531197b27f93","contributors":{"authors":[{"text":"Peng, Zhigang","contributorId":199689,"corporation":false,"usgs":false,"family":"Peng","given":"Zhigang","email":"","affiliations":[],"preferred":false,"id":719762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":719761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":719763,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159363,"text":"70159363 - 2015 - Comparative analysis of riverscape genetic structure in rare, threatened and common freshwater mussels","interactions":[],"lastModifiedDate":"2018-03-23T10:56:34","indexId":"70159363","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Comparative analysis of riverscape genetic structure in rare, threatened and common freshwater mussels","docAbstract":"Freshwater mussels (Bivalvia: Unionoida) are highly imperiled with many species on the verge of local extirpation or global extinction. This study investigates patterns of genetic structure and diversity in six species of freshwater mussels in the central Great Lakes region of Ontario, Canada. These species vary in their conservation status (endangered to not considered at risk), life history strategy, and dispersal capabilities. Evidence of historical genetic connectivity within rivers was ubiquitous across species and may reflect dispersal abilities of host fish. There was little to no signature of recent disturbance events or bottlenecks, even in endangered species, likely as a function of mussel longevity and historical population sizes (i.e., insufficient time for genetic drift to be detectable). Genetic structure was largely at the watershed scale suggesting that population augmentation via translocation within rivers may be a useful conservation tool if needed, while minimizing genetic risks to recipient sites. Recent interest in population augmentation via translocation and propagation may rely on these results to inform management of unionids in the Great Lakes region.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-015-0705-5","usgsCitation":"Galbraith, H.S., Zanatta, D.T., and Wilson, C.C., 2015, Comparative analysis of riverscape genetic structure in rare, threatened and common freshwater mussels: Conservation Genetics, v. 16, no. 4, p. 845-857, https://doi.org/10.1007/s10592-015-0705-5.","productDescription":"13 p.","startPage":"845","endPage":"857","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063117","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":310674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.3974609375,\n 42.39912215986002\n ],\n [\n -82.3974609375,\n 42.99661231842139\n ],\n [\n -81.6943359375,\n 43.35713822211053\n ],\n [\n -80.13427734374999,\n 43.715534726205114\n ],\n [\n -79.29931640625,\n 42.85985981506279\n ],\n [\n -82.3974609375,\n 42.39912215986002\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-21","publicationStatus":"PW","scienceBaseUri":"5630a02fe4b093cee78203e9","contributors":{"authors":[{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":578228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zanatta, David T.","contributorId":149384,"corporation":false,"usgs":false,"family":"Zanatta","given":"David","email":"","middleInitial":"T.","affiliations":[{"id":17722,"text":"2Institute for Great Lakes Research, Biology Department, Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":578229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Chris C.","contributorId":149385,"corporation":false,"usgs":false,"family":"Wilson","given":"Chris","email":"","middleInitial":"C.","affiliations":[{"id":17723,"text":"3Aquatic Research Section, Ontario Ministry of Natural Resources, Trent University","active":true,"usgs":false}],"preferred":false,"id":578230,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192137,"text":"70192137 - 2015 - The rise of fire: Fossil charcoal in late Devonian marine shales as an indicator of expanding terrestrial ecosystems, fire, and atmospheric change","interactions":[],"lastModifiedDate":"2017-10-23T14:37:12","indexId":"70192137","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"The rise of fire: Fossil charcoal in late Devonian marine shales as an indicator of expanding terrestrial ecosystems, fire, and atmospheric change","docAbstract":"Fossil charcoal provides direct evidence for fire events that, in turn, have implications for the evolution of both terrestrial ecosystems and the atmosphere. Most of the ancient charcoal record is known from terrestrial or nearshore environments and indicates the earliest occurrences of fire in the Late Silurian. However, despite the rise in available fuel through the Devonian as vascular land plants became larger and trees and forests evolved, charcoal occurrences are very sparse until the Early Mississippian where extensive charcoal suggests well-established fire systems. We present data from the latest Devonian and Early Mississippian of North America from terrestrial and marine rocks indicating that fire became more widespread and significant at this time. This increase may be a function of rising O2 levels and the occurrence of fire itself may have contributed to this rise through positive feedback. Recent atmospheric modeling suggests an O2 low during the Middle Devonian (around 17.5%), with O2 rising steadily through the Late Devonian and Early Mississippian (to 21–22%) that allowed for widespread burning for the first time. In Devonian-Mississippian marine black shales, fossil charcoal (inertinite) steadily increases up-section suggesting the rise of widespread fire systems. There is a concomitant increase in the amount of vitrinite (preserved woody and other plant tissues) that also suggests increased sources of terrestrial organic matter. Even as end Devonian glaciation was experienced, fossil charcoal continued to be a source of organic matter being introduced into the Devonian oceans. Scanning electron and reflectance microscopy of charcoal from Late Devonian terrestrial sites indicate that the fires were moderately hot (typically 500–600 °C) and burnt mainly surface vegetation dominated by herbaceous zygopterid ferns and lycopsids, rather than being produced by forest crown fires. The occurrence and relative abundance of fossil charcoal in marine black shales are significant in that these shales may provide a more continuous record of fire than is preserved in terrestrial environments. Our data support the idea that major fires are not seen in the fossil record until there is both sufficient and connected fuel and a high enough atmospheric O2 content for it to burn.
","language":"English","publisher":"American Journal of Science","doi":"10.2475/08.2015.01","usgsCitation":"Rimmer, S.M., Hawkins, S.J., Scott, A.C., and Cressler, W.L., 2015, The rise of fire: Fossil charcoal in late Devonian marine shales as an indicator of expanding terrestrial ecosystems, fire, and atmospheric change: American Journal of Science, v. 315, no. 8, p. 713-733, https://doi.org/10.2475/08.2015.01.","productDescription":"21 p.","startPage":"713","endPage":"733","ipdsId":"IP-066498","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":472005,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2475/08.2015.01","text":"Publisher Index Page"},{"id":347138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"315","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-19","publicationStatus":"PW","scienceBaseUri":"59eeffabe4b0220bbd988fc3","contributors":{"authors":[{"text":"Rimmer, Susan M.","contributorId":197806,"corporation":false,"usgs":false,"family":"Rimmer","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":714366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Andrew C.","contributorId":43487,"corporation":false,"usgs":false,"family":"Scott","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":714368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cressler, Walter L. III","contributorId":197808,"corporation":false,"usgs":false,"family":"Cressler","given":"Walter","suffix":"III","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714369,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173446,"text":"70173446 - 2015 - Spatial and temporal movement dynamics of brook Salvelinus fontinalis and brown trout Salmo trutta","interactions":[],"lastModifiedDate":"2016-06-20T13:03:17","indexId":"70173446","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal movement dynamics of brook Salvelinus fontinalis and brown trout Salmo trutta","docAbstract":"Native eastern brook trout Salvelinus fontinalis and naturalized brown trout Salmo trutta occur sympatrically in many streams across the brook trout’s native range in the eastern United States. Understanding within- among-species variability in movement, including correlates of movement, has implications for management and conservation. We radio tracked 55 brook trout and 45 brown trout in five streams in a north-central Pennsylvania, USA watershed to quantify the movement of brook trout and brown trout during the fall and early winter to (1) evaluate the late-summer, early winter movement patterns of brook trout and brown trout, (2) determine correlates of movement and if movement patterns varied between brook trout and brown trout, and (3) evaluate genetic diversity of brook trout within and among study streams, and relate findings to telemetry-based observations of movement. Average total movement was greater for brown trout (mean ± SD = 2,924 ± 4,187 m) than for brook trout (mean ± SD = 1,769 ± 2,194 m). Although there was a large amount of among-fish variability in the movement of both species, the majority of movement coincided with the onset of the spawning season, and a threshold effect was detected between stream flow and movement: where movement increased abruptly for both species during positive flow events. Microsatellite analysis of brook trout revealed consistent findings to those found using radio-tracking, indicating a moderate to high degree of gene flow among brook trout populations. Seasonal movement patterns and the potential for relatively large movements of brook and brown trout highlight the importance of considering stream connectivity when restoring and protecting fish populations and their habitats.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-015-0428-y","usgsCitation":"Davis, L., Wagner, T., and Barton, M.L., 2015, Spatial and temporal movement dynamics of brook Salvelinus fontinalis and brown trout Salmo trutta: Environmental Biology of Fishes, v. 98, no. 10, p. 2049-2065, https://doi.org/10.1007/s10641-015-0428-y.","productDescription":"17 p.","startPage":"2049","endPage":"2065","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060347","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Hunts Run Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.39789581298828,\n 41.299733957661566\n ],\n [\n -76.39789581298828,\n 41.36972357275845\n ],\n [\n -76.26245498657227,\n 41.36972357275845\n ],\n [\n -76.26245498657227,\n 41.299733957661566\n ],\n [\n -76.39789581298828,\n 41.299733957661566\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-08","publicationStatus":"PW","scienceBaseUri":"576913e7e4b07657d19ff26b","chorus":{"doi":"10.1007/s10641-015-0428-y","url":"http://dx.doi.org/10.1007/s10641-015-0428-y","publisher":"Springer Nature","authors":"Davis Lori A., Wagner Tyler, Bartron Meredith L.","journalName":"Environmental Biology of Fishes","publicationDate":"7/8/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Davis, L.A.","contributorId":29639,"corporation":false,"usgs":true,"family":"Davis","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":639806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barton, Meredith L.","contributorId":172172,"corporation":false,"usgs":false,"family":"Barton","given":"Meredith","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":639807,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70182720,"text":"70182720 - 2015 - Ionospheric current source modeling and global geomagnetic induction using ground geomagnetic observatory data","interactions":[],"lastModifiedDate":"2018-01-19T13:59:31","indexId":"70182720","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Ionospheric current source modeling and global geomagnetic induction using ground geomagnetic observatory data","docAbstract":"Long-period global-scale electromagnetic induction studies of deep Earth conductivity are based almost exclusively on magnetovariational methods and require accurate models of external source spatial structure. We describe approaches to inverting for both the external sources and three-dimensional (3-D) conductivity variations and apply these methods to long-period (T≥1.2 days) geomagnetic observatory data. Our scheme involves three steps: (1) Observatory data from 60 years (only partly overlapping and with many large gaps) are reduced and merged into dominant spatial modes using a scheme based on frequency domain principal components. (2) Resulting modes are inverted for corresponding external source spatial structure, using a simplified conductivity model with radial variations overlain by a two-dimensional thin sheet. The source inversion is regularized using a physically based source covariance, generated through superposition of correlated tilted zonal (quasi-dipole) current loops, representing ionospheric source complexity smoothed by Earth rotation. Free parameters in the source covariance model are tuned by a leave-one-out cross-validation scheme. (3) The estimated data modes are inverted for 3-D Earth conductivity, assuming the source excitation estimated in step 2. Together, these developments constitute key components in a practical scheme for simultaneous inversion of the catalogue of historical and modern observatory data for external source spatial structure and 3-D Earth conductivity.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015JB012063","usgsCitation":"Sun, J., Kelbert, A., and Egbert, G.D., 2015, Ionospheric current source modeling and global geomagnetic induction using ground geomagnetic observatory data: Journal of Geophysical Research, v. 120, no. 10, p. 6771-6796, https://doi.org/10.1002/2015JB012063.","productDescription":"26 p. ","startPage":"6771","endPage":"6796","ipdsId":"IP-068256","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":471750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012063","text":"Publisher Index Page"},{"id":336288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-25","publicationStatus":"PW","scienceBaseUri":"58b548c2e4b01ccd54fddfc6","contributors":{"authors":[{"text":"Sun, Jin","contributorId":11084,"corporation":false,"usgs":false,"family":"Sun","given":"Jin","email":"","affiliations":[{"id":32881,"text":"ETH Zurich, Zurich, Switzerland","active":true,"usgs":false},{"id":6702,"text":"College of Earth, Ocean and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":673447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Egbert, G. D.","contributorId":184054,"corporation":false,"usgs":false,"family":"Egbert","given":"G.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":673449,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192770,"text":"70192770 - 2015 - Using time series structural characteristics to analyze grain prices in food insecure countries","interactions":[],"lastModifiedDate":"2017-10-30T15:10:22","indexId":"70192770","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1683,"text":"Food Security","active":true,"publicationSubtype":{"id":10}},"title":"Using time series structural characteristics to analyze grain prices in food insecure countries","docAbstract":"Two components of food security monitoring are accurate forecasts of local grain prices and the ability to identify unusual price behavior. We evaluated a method that can both facilitate forecasts of cross-country grain price data and identify dissimilarities in price behavior across multiple markets. This method, characteristic based clustering (CBC), identifies similarities in multiple time series based on structural characteristics in the data. Here, we conducted a simulation experiment to determine if CBC can be used to improve the accuracy of maize price forecasts. We then compared forecast accuracies among clustered and non-clustered price series over a rolling time horizon. We found that the accuracy of forecasts on clusters of time series were equal to or worse than forecasts based on individual time series. However, in the following experiment we found that CBC was still useful for price analysis. We used the clusters to explore the similarity of price behavior among Kenyan maize markets. We found that price behavior in the isolated markets of Mandera and Marsabit has become increasingly dissimilar from markets in other Kenyan cities, and that these dissimilarities could not be explained solely by geographic distance. The structural isolation of Mandera and Marsabit that we find in this paper is supported by field studies on food security and market integration in Kenya. Our results suggest that a market with a unique price series (as measured by structural characteristics that differ from neighboring markets) may lack market integration and food security.
","language":"English","publisher":"Springer","doi":"10.1007/s12571-015-0490-5","usgsCitation":"Davenport, F., and Funk, C., 2015, Using time series structural characteristics to analyze grain prices in food insecure countries: Food Security, v. 7, no. 5, p. 1055-1070, https://doi.org/10.1007/s12571-015-0490-5.","productDescription":"16 p.","startPage":"1055","endPage":"1070","ipdsId":"IP-056081","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471745,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10.1007/s12571-015-0490-5","text":"External Repository"},{"id":347732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-10","publicationStatus":"PW","scienceBaseUri":"59f83a3ee4b063d5d3098116","contributors":{"authors":[{"text":"Davenport, Frank","contributorId":145816,"corporation":false,"usgs":false,"family":"Davenport","given":"Frank","email":"","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":716872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@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":716871,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187288,"text":"70187288 - 2015 - Dynamics of a recovering Arctic bird population: the importance of climate, density dependence, and site quality","interactions":[],"lastModifiedDate":"2017-04-27T17:03:56","indexId":"70187288","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of a recovering Arctic bird population: the importance of climate, density dependence, and site quality","docAbstract":"Intrinsic and extrinsic factors affect vital rates and population-level processes, and understanding these factors is paramount to devising successful management plans for wildlife species. For example, birds time migration in response, in part, to local and broadscale climate fluctuations to initiate breeding upon arrival to nesting territories, and prolonged inclement weather early in the breeding season can inhibit egg-laying and reduce productivity. Also, density-dependent regulation occurs in raptor populations, as territory size is related to resource availability. Arctic Peregrine Falcons (Falco peregrinus tundrius; hereafter Arctic peregrine) have a limited and northern breeding distribution, including the Colville River Special Area (CRSA) in the National Petroleum Reserve–Alaska, USA. We quantified influences of climate, topography, nest productivity, prey habitat, density dependence, and interspecific competition affecting Arctic peregrines in the CRSA by applying the Dail-Madsen model to estimate abundance and vital rates of adults on nesting cliffs from 1981 through 2002. Arctic peregrine abundance increased throughout the 1980s, which spanned the population's recovery from DDT-induced reproductive failure, until exhibiting a stationary trend in the 1990s. Apparent survival rate (i.e., emigration; death) was negatively correlated with the number of adult Arctic peregrines on the cliff the previous year, suggesting effects of density-dependent population regulation. Apparent survival and arrival rates (i.e., immigration; recruitment) were higher during years with earlier snowmelt and milder winters, and apparent survival was positively correlated with nesting season maximum daily temperature. Arrival rate was positively correlated with average Arctic peregrine productivity along a cliff segment from the previous year and initial abundance was positively correlated with cliff height. Higher cliffs with documented higher productivity (presumably indicative of higher-quality habitat), are a priority for continued protection from potential nearby development and disturbance to minimize population-level impacts. Climate change may affect Arctic peregrines in multiple ways, including through access to more snow-free nest sites and a lengthened breeding season that may increase likelihood of nest success. Our work provides insight into factors affecting a population during and after recovery, and demonstrates how the Dail-Madsen model can be used for any unmarked population with multiple years of abundance data collected through repeated surveys.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-1591.1","usgsCitation":"Bruggeman, J.E., Swem, T., Andersen, D., Kennedy, P.L., and Nigro, D.A., 2015, Dynamics of a recovering Arctic bird population: the importance of climate, density dependence, and site quality: Ecological Applications, v. 25, no. 7, p. 1932-1943, https://doi.org/10.1890/14-1591.1.","productDescription":"12 p.","startPage":"1932","endPage":"1943","ipdsId":"IP-055304","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.5107421875,\n 68.73638345287264\n ],\n [\n -149.94140625,\n 68.73638345287264\n ],\n [\n -149.94140625,\n 70.56149224990756\n ],\n [\n -158.5107421875,\n 70.56149224990756\n ],\n [\n -158.5107421875,\n 68.73638345287264\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59030327e4b0e862d230f735","contributors":{"authors":[{"text":"Bruggeman, Jason E.","contributorId":18983,"corporation":false,"usgs":false,"family":"Bruggeman","given":"Jason","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swem, Ted","contributorId":64463,"corporation":false,"usgs":true,"family":"Swem","given":"Ted","affiliations":[],"preferred":false,"id":693306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":true,"id":693219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Patricia L.","contributorId":172826,"corporation":false,"usgs":false,"family":"Kennedy","given":"Patricia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nigro, Debora A.","contributorId":10628,"corporation":false,"usgs":false,"family":"Nigro","given":"Debora","email":"","middleInitial":"A.","affiliations":[{"id":12934,"text":"Bureau of Land Management, Arctic Field Office","active":true,"usgs":false}],"preferred":false,"id":693308,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191258,"text":"70191258 - 2015 - Soil geochemical survey of abandoned mining sites in the Eastern-Central Peloritani Mountains, Sicily, Italy","interactions":[],"lastModifiedDate":"2017-10-02T13:39:20","indexId":"70191258","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Soil geochemical survey of abandoned mining sites in the Eastern-Central Peloritani Mountains, Sicily, Italy","docAbstract":"This investigation focused on topsoils (n = 122) and vertical profiles (n = 6) distributed over an area of 250 km2 in the eastern-central Peloritani Mountains, northeastern Sicily. Georeferenced concentration of 53 elements (including potentially harmful ones), determined by ICP-MS after an aqua regia leach, were used to produce geochemical maps by means of a GIS-aided spatial interpolation process. Results show that there are two distinct areas: the larger, located between the Fiumendinisi, Budali and Ali villages, and the other between C. Postlioni and Femmina Morta, which contain anomalous As (up to 727 mg/kg), Sb (up to 60 mg/kg), Ag (up to 1 mg/kg) and Au (up to 0.1 mg/kg) concentrations. Most of the investigated areas have high contamination levels for As, Zn, Sb, and Pb that exceed the threshold values (As = 20 mg/kg, Zn = 150 mg/kg, Sb = 10 mg/kg and Pb = 100 mg/kg) established for soils by the Italian Environmental Law (Decreto Legislativo 2006, number 152).
The isotopic ratios of 206Pb/207Pb and 208Pb/207Pb have been measured in selected soils on both leaches [using 1M HNO3–1.75M HCl (50:50)] and residues thereof. Soil leach reflects possible anthropogenic contamination, whereas soil residues indicate geogenic contributions. Results suggest that most of contamination in the soils is related to the presence of sulphide and sulphosalt rock-forming minerals in the surveyed area. The soil fraction contains a Pb value >1600 mg/kg and has ratios of 1.1695 for 206Pb/207Pb and 2.4606 for 208Pb/207Pb. Only one soil leach isotopic composition could reflect possible anthropogenic contamination. The correlation among As, Zn, Pb contents v. Pb isotopic signatures of 206Pb/207Pb indicates that surface and deep soils collected from profiles are dominated by geogenic compositions.
","language":"English","publisher":" Geological Society of London","doi":"10.1144/geochem2014-307","usgsCitation":"Consenza, A., Lima, A., Ayuso, R.A., Foley, N.K., Albanese, S., Messina, A., and De Vivo, B., 2015, Soil geochemical survey of abandoned mining sites in the Eastern-Central Peloritani Mountains, Sicily, Italy: Geochemistry: Exploration, Environment, Analysis, v. 15, no. 4, p. 361-372, https://doi.org/10.1144/geochem2014-307.","productDescription":"12 p.","startPage":"361","endPage":"372","ipdsId":"IP-066364","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":346316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Peloritani Mountains, Sicily","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 15.200958251953125,\n 38.001303066958606\n ],\n [\n 15.481109619140625,\n 38.001303066958606\n ],\n [\n 15.481109619140625,\n 38.11132902233447\n ],\n [\n 15.200958251953125,\n 38.11132902233447\n ],\n [\n 15.200958251953125,\n 38.001303066958606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-03","publicationStatus":"PW","scienceBaseUri":"59d35029e4b05fe04cc34d68","contributors":{"authors":[{"text":"Consenza, A.","contributorId":196819,"corporation":false,"usgs":false,"family":"Consenza","given":"A.","email":"","affiliations":[],"preferred":false,"id":711708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lima, A.","contributorId":196820,"corporation":false,"usgs":false,"family":"Lima","given":"A.","email":"","affiliations":[],"preferred":false,"id":711709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":711707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":711710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Albanese, S.","contributorId":196821,"corporation":false,"usgs":false,"family":"Albanese","given":"S.","email":"","affiliations":[],"preferred":false,"id":711711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Messina, A.","contributorId":196822,"corporation":false,"usgs":false,"family":"Messina","given":"A.","affiliations":[],"preferred":false,"id":711712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De Vivo, B.","contributorId":196823,"corporation":false,"usgs":false,"family":"De Vivo","given":"B.","affiliations":[],"preferred":false,"id":711713,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173778,"text":"70173778 - 2015 - Effects of climate change on long-term population growth of pronghorn in an arid environment","interactions":[],"lastModifiedDate":"2016-06-22T14:37:09","indexId":"70173778","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Effects of climate change on long-term population growth of pronghorn in an arid environment","docAbstract":"Climate often drives ungulate population dynamics, and as climates change, some areas may become unsuitable for species persistence. Unraveling the relationships between climate and population dynamics, and projecting them across time, advances ecological understanding that informs and steers sustainable conservation for species. Using pronghorn (Antilocapra americana) as an ecological model, we used a Bayesian approach to analyze long-term population, precipitation, and temperature data from 18 populations in the southwestern United States. We determined which long-term (12 and 24 months) or short-term (gestation trimester and lactation period) climatic conditions best predicted annual rate of population growth (λ). We used these predictions to project population trends through 2090. Projections incorporated downscaled climatic data matched to pronghorn range for each population, given a high and a lower atmospheric CO2 concentration scenario. Since the 1990s, 15 of the pronghorn populations declined in abundance. Sixteen populations demonstrated a significant relationship between precipitation and λ, and in 13 of these, temperature was also significant. Precipitation predictors of λ were highly seasonal, with lactation being the most important period, followed by early and late gestation. The influence of temperature on λ was less seasonal than precipitation, and lacked a clear temporal pattern. The climatic projections indicated that all of these pronghorn populations would experience increased temperatures, while the direction and magnitude of precipitation had high population-specific variation. Models predicted that nine populations would be extirpated or approaching extirpation by 2090. Results were consistent across both atmospheric CO2 concentration scenarios, indicating robustness of trends irrespective of climatic severity. In the southwestern United States, the climate underpinning pronghorn populations is shifting, making conditions increasingly inhospitable to pronghorn persistence. This realization informs and steers conservation and management decisions for pronghorn in North America, while exemplifying how similar research can aid ungulates inhabiting arid regions and confronting similar circumstances elsewhere.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES15-00266.1","usgsCitation":"Gedir, J.V., Cain, J.W., Harris, G., and Turnbull, T.T., 2015, Effects of climate change on long-term population growth of pronghorn in an arid environment: Ecosphere, v. 6, no. 10, p. 1-20, https://doi.org/10.1890/ES15-00266.1.","productDescription":"20 p.","startPage":"1","endPage":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065177","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471742,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es15-00266.1","text":"Publisher Index Page"},{"id":438680,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76972HS","text":"USGS data release","linkHelpText":"Impact of Drought on Southwestern Pronghorn Population Trends and Predicted Trajectories in the Southwest in the Face of Climate Change"},{"id":324241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-22","publicationStatus":"PW","scienceBaseUri":"576bb6b2e4b07657d1a22898","contributors":{"authors":[{"text":"Gedir, Jay V.","contributorId":171735,"corporation":false,"usgs":false,"family":"Gedir","given":"Jay","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":640403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Grant","contributorId":172342,"corporation":false,"usgs":false,"family":"Harris","given":"Grant","affiliations":[],"preferred":false,"id":640404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turnbull, Trey T.","contributorId":15909,"corporation":false,"usgs":true,"family":"Turnbull","given":"Trey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":640405,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189475,"text":"70189475 - 2015 - Rates of As and trace-element mobilization caused by Fe reduction in mixed BTEX–ethanol experimental plumes","interactions":[],"lastModifiedDate":"2018-08-09T12:35:41","indexId":"70189475","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Rates of As and trace-element mobilization caused by Fe reduction in mixed BTEX–ethanol experimental plumes","docAbstract":"Biodegradation of organic matter, including petroleum-based fuels and biofuels, can create undesired secondary water-quality effects. Trace elements, especially arsenic (As), have strong adsorption affinities for Fe(III) (oxyhydr)-oxides and can be released to groundwater during Fe-reducing biodegradation. We investigated the mobilization of naturally occurring As, cobalt (Co), chromium (Cr), and nickel (Ni) from wetland sediments caused by the introduction of benzene, toluene, ethylbenzene, and xylenes (BTEX) and ethanol mixtures under iron- and nitrate-reducing conditions, using in situ push–pull tests. When BTEX alone was added, results showed simultaneous onset and similar rates of Fe reduction and As mobilization. In the presence of ethanol, the maximum rates of As release and Fe reduction were higher, the time to onset of reaction was decreased, and the rates occurred in multiple stages that reflected additional processes. The concentration of As increased from <1 μg/L to a maximum of 99 μg/L, exceeding the 10 μg/L limit for drinking water. Mobilization of Co, Cr, and Ni was observed in association with ethanol biodegradation but not with BTEX. These results demonstrate the potential for trace-element contamination of drinking water during biodegradation and highlight the importance of monitoring trace elements at natural and enhanced attenuation sites.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.5b02341","usgsCitation":"Ziegler, B.A., McGuire, J.T., and Cozzarelli, I.M., 2015, Rates of As and trace-element mobilization caused by Fe reduction in mixed BTEX–ethanol experimental plumes: Environmental Science & Technology, v. 49, no. 22, p. 13179-13189, https://doi.org/10.1021/acs.est.5b02341.","productDescription":"11 p.","startPage":"13179","endPage":"13189","ipdsId":"IP-068334","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":343810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"22","noUsgsAuthors":false,"publicationDate":"2015-11-05","publicationStatus":"PW","scienceBaseUri":"596886a2e4b0d1f9f05f59bd","contributors":{"authors":[{"text":"Ziegler, Brady A.","contributorId":138960,"corporation":false,"usgs":false,"family":"Ziegler","given":"Brady","email":"","middleInitial":"A.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":704863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jennifer T.","contributorId":42155,"corporation":false,"usgs":true,"family":"McGuire","given":"Jennifer","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":704864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":704865,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170275,"text":"70170275 - 2015 - Spatial occupancy models for predicting metapopulation dynamics and viability following reintroduction","interactions":[],"lastModifiedDate":"2016-04-21T12:47:48","indexId":"70170275","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial occupancy models for predicting metapopulation dynamics and viability following reintroduction","docAbstract":"Accurate estimates of demographic parameters are required to infer appropriate ecological relationships and inform management actions. Known-fate data from marked individuals are commonly used to estimate survival rates, whereas N-mixture models use count data from unmarked individuals to estimate multiple demographic parameters. However, a joint approach combining the strengths of both analytical tools has not been developed. Here we develop an integrated model combining known-fate and open N-mixture models, allowing the estimation of detection probability, recruitment, and the joint estimation of survival. We demonstrate our approach through both simulations and an applied example using four years of known-fate and pack count data for wolves (Canis lupus). Simulation results indicated that the integrated model reliably recovered parameters with no evidence of bias, and survival estimates were more precise under the joint model. Results from the applied example indicated that the marked sample of wolves was biased toward individuals with higher apparent survival rates than the unmarked pack mates, suggesting that joint estimates may be more representative of the overall population. Our integrated model is a practical approach for reducing bias while increasing precision and the amount of information gained from mark–resight data sets. We provide implementations in both the BUGS language and an R package.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/15-0385.1","usgsCitation":"Schmidt, J., Johnson, D.S., Lindberg, M.S., and Adams, L., 2015, Estimating demographic parameters using a combination of known-fate and open N-mixture models: Ecology, v. 96, no. 10, p. 2583-2589, https://doi.org/10.1890/15-0385.1.","productDescription":"7 p.","startPage":"2583","endPage":"2589","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063639","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":471741,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1890/15-0385.1","text":"External Repository"},{"id":319338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gates of the Arctic National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.0283203125,\n 67.23806155909902\n ],\n [\n -154.0283203125,\n 68.2042121888185\n ],\n [\n -152.0068359375,\n 68.2042121888185\n ],\n [\n -152.0068359375,\n 67.23806155909902\n ],\n [\n -154.0283203125,\n 67.23806155909902\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"96","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f50fc6e4b0f59b85e1eb47","contributors":{"authors":[{"text":"Schmidt, Joshua H.","contributorId":167772,"corporation":false,"usgs":false,"family":"Schmidt","given":"Joshua H.","affiliations":[{"id":24828,"text":"Central Alaska Network, National Park Service, Fairbanks, Alaska","active":true,"usgs":false}],"preferred":false,"id":623458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Devin S.","contributorId":167773,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","middleInitial":"S.","affiliations":[{"id":24829,"text":"National Marine Mammal Laboratory, Alaska Fisheries Science Center, National Marine Fisheries Service, NOAA, Seattle, Washington","active":true,"usgs":false}],"preferred":false,"id":623459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindberg, Mark S.","contributorId":167774,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":24830,"text":"Department of Wildlife and Institute of Arctic Biology, University of Alaska, Fairbanks, Alaska","active":true,"usgs":false}],"preferred":false,"id":623460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":623457,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191658,"text":"70191658 - 2015 - FORUM: Effective management of ecological resilience – are we there yet?","interactions":[],"lastModifiedDate":"2017-10-17T16:15:44","indexId":"70191658","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"FORUM: Effective management of ecological resilience – are we there yet?","docAbstract":"The Global Earthquake Model (GEM) aims to develop uniform, openly available, standards, datasets and tools for worldwide seismic risk assessment through global collaboration, transparent communication and adapting state-of-the-art science. GEM Faulted Earth (GFE) is one of GEM’s global hazard module projects. This paper describes GFE’s development of a modern neotectonic fault database and a unique graphical interface for the compilation of new fault data. A key design principle is that of an electronic field notebook for capturing observations a geologist would make about a fault. The database is designed to accommodate abundant as well as sparse fault observations. It features two layers, one for capturing neotectonic faults and fold observations, and the other to calculate potential earthquake fault sources from the observations. In order to test the flexibility of the database structure and to start a global compilation, five preexisting databases have been uploaded to the first layer and two to the second. In addition, the GFE project has characterised the world’s approximately 55,000 km of subduction interfaces in a globally consistent manner as a basis for generating earthquake event sets for inclusion in earthquake hazard and risk modelling. Following the subduction interface fault schema and including the trace attributes of the GFE database schema, the 2500-km-long frontal thrust fault system of the Himalaya has also been characterised. We propose the database structure to be used widely, so that neotectonic fault data can make a more complete and beneficial contribution to seismic hazard and risk characterisation globally.
","language":"English","publisher":"Springer","doi":"10.1007/s11069-015-1831-6","usgsCitation":"Christophersen, A., Litchfield, N., Berryman, K., Thomas, R., Basili, R., Wallace, L., Ries, W., Hayes, G.P., Haller, K., Yoshioka, T., Koehler, R., Clark, D., Wolfson-Schwehr, M., Boettcher, M.S., Villamor, P., Horspool, N., Ornthammarath, T., Zuniga, R., Langridge, R.M., Stirling, M.W., Goded, T., Costa, C., and Yeats, R., 2015, Development of the Global Earthquake Model’s neotectonic fault database: Natural Hazards, v. 79, no. 1, p. 111-135, https://doi.org/10.1007/s11069-015-1831-6.","productDescription":"25 p.","startPage":"111","endPage":"135","ipdsId":"IP-065198","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":329243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver 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monitoring approaches near a dam-controlled riverbank filtration facility in Northern California. Motivated by previous studies at the site that indicated riverbed clogging plays an important role in the performance of the riverbank filtration system, we investigated the spatiotemporal variability and nature of the clogging. In particular, we investigated whether the clogging was due to abiotic or biotic mechanisms. A secondary aspect of the study was the testing of different methods to monitor riverbed clogging and related processes, such as seepage. Monitoring was conducted using both point-based approaches and spatially extensive geophysical approaches, including: grain-size analysis, temperature sensing, electrical resistivity tomography, seepage meters, microbial analysis, and cryocoring, along two transects. The point monitoring measurements suggested a substantial increase in riverbed biomass (2 orders of magnitude) after the dam was raised compared to the small increase (∼2%) in fine-grained sediment. These changes were concomitant with decreased seepage. The decreased seepage eventually led to the development of an unsaturated zone beneath the riverbed, which further decreased infiltration capacity. Comparison of our time-lapse grain-size and biomass datasets suggested that biotic processes played a greater role in clogging than did abiotic processes. Cryocoring and autonomous temperature loggers were most useful for locally monitoring clogging agents, while electrical resistivity data were useful for interpreting the spatial extent of a pumping-induced unsaturated zone that developed beneath the riverbed after riverbed clogging was initiated. The improved understanding of spatiotemporally variable riverbed clogging and monitoring approaches is expected to be useful for optimizing the riverbank filtration system operations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2015.08.012","usgsCitation":"Ulrich, C., Hubbard, S.S., Florsheim, J., Rosenberry, D.O., Borglin, S., Trotta, M., and Seymour, D., 2015, Riverbed clogging associated with a California riverbank filtration system: An assessment of mechanisms and monitoring approaches: Journal of Hydrology, v. 529, no. 3, p. 1740-1753, https://doi.org/10.1016/j.jhydrol.2015.08.012.","productDescription":"14 p.","startPage":"1740","endPage":"1753","ipdsId":"IP-068292","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1501369","text":"Publisher Index Page"},{"id":329458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"529","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe679ee4b0824b2d143717","contributors":{"authors":[{"text":"Ulrich, Craig","contributorId":175248,"corporation":false,"usgs":false,"family":"Ulrich","given":"Craig","email":"","affiliations":[],"preferred":false,"id":650550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubbard, Susan S.","contributorId":175249,"corporation":false,"usgs":false,"family":"Hubbard","given":"Susan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":650551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Florsheim, Joan","contributorId":115633,"corporation":false,"usgs":true,"family":"Florsheim","given":"Joan","email":"","affiliations":[],"preferred":false,"id":650552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":650549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borglin, Sharon","contributorId":175251,"corporation":false,"usgs":false,"family":"Borglin","given":"Sharon","email":"","affiliations":[],"preferred":false,"id":650553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Trotta, Marcus","contributorId":175252,"corporation":false,"usgs":false,"family":"Trotta","given":"Marcus","email":"","affiliations":[{"id":17863,"text":"Sonoma County Water Agency","active":true,"usgs":false}],"preferred":false,"id":650554,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seymour, Donald","contributorId":175253,"corporation":false,"usgs":false,"family":"Seymour","given":"Donald","email":"","affiliations":[{"id":17863,"text":"Sonoma County Water Agency","active":true,"usgs":false}],"preferred":false,"id":650579,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70159685,"text":"70159685 - 2015 - Maximum likelihood Bayesian model averaging and its predictive analysis for groundwater reactive transport models","interactions":[],"lastModifiedDate":"2015-11-17T17:00:58","indexId":"70159685","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Maximum likelihood Bayesian model averaging and its predictive analysis for groundwater reactive transport models","docAbstract":"While Bayesian model averaging (BMA) has been widely used in groundwater modeling, it is infrequently applied to groundwater reactive transport modeling because of multiple sources of uncertainty in the coupled hydrogeochemical processes and because of the long execution time of each model run. To resolve these problems, this study analyzed different levels of uncertainty in a hierarchical way, and used the maximum likelihood version of BMA, i.e., MLBMA, to improve the computational efficiency. This study demonstrates the applicability of MLBMA to groundwater reactive transport modeling in a synthetic case in which twenty-seven reactive transport models were designed to predict the reactive transport of hexavalent uranium (U(VI)) based on observations at a former uranium mill site near Naturita, CO. These reactive transport models contain three uncertain model components, i.e., parameterization of hydraulic conductivity, configuration of model boundary, and surface complexation reactions that simulate U(VI) adsorption. These uncertain model components were aggregated into the alternative models by integrating a hierarchical structure into MLBMA. The modeling results of the individual models and MLBMA were analyzed to investigate their predictive performance. The predictive logscore results show that MLBMA generally outperforms the best model, suggesting that using MLBMA is a sound strategy to achieve more robust model predictions relative to a single model. MLBMA works best when the alternative models are structurally distinct and have diverse model predictions. When correlation in model structure exists, two strategies were used to improve predictive performance by retaining structurally distinct models or assigning smaller prior model probabilities to correlated models. Since the synthetic models were designed using data from the Naturita site, the results of this study are expected to provide guidance for real-world modeling. Limitations of applying MLBMA to the synthetic study and future real-world modeling are discussed.
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","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2015.08.026","usgsCitation":"Yamamoto, K., and Ruppel, C., 2015, Preface to the special issue on gas hydrate drilling in the Eastern Nankai Trough: Marine and Petroleum Geology, v. 66, no. 2, p. 295-295, https://doi.org/10.1016/j.marpetgeo.2015.08.026.","productDescription":"1 p.","startPage":"295","endPage":"295","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066919","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":311168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56432350e4b0aafbcd01802a","contributors":{"authors":[{"text":"Yamamoto, Koji","contributorId":72709,"corporation":false,"usgs":true,"family":"Yamamoto","given":"Koji","email":"","affiliations":[],"preferred":false,"id":644203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":145770,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579488,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70168389,"text":"70168389 - 2015 - Adaptive invasive species distribution models: A framework for modeling incipient invasions","interactions":[],"lastModifiedDate":"2016-08-17T12:12:04","indexId":"70168389","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive invasive species distribution models: A framework for modeling incipient invasions","docAbstract":"The utilization of species distribution model(s) (SDM) for approximating, explaining, and predicting changes in species’ geographic locations is increasingly promoted for proactive ecological management. Although frameworks for modeling non-invasive species distributions are relatively well developed, their counterparts for invasive species—which may not be at equilibrium within recipient environments and often exhibit rapid transformations—are lacking. Additionally, adaptive ecological management strategies address the causes and effects of biological invasions and other complex issues in social-ecological systems. We conducted a review of biological invasions, species distribution models, and adaptive practices in ecological management, and developed a framework for adaptive, niche-based, invasive species distribution model (iSDM) development and utilization. This iterative, 10-step framework promotes consistency and transparency in iSDM development, allows for changes in invasive drivers and filters, integrates mechanistic and correlative modeling techniques, balances the avoidance of type 1 and type 2 errors in predictions, encourages the linking of monitoring and management actions, and facilitates incremental improvements in models and management across space, time, and institutional boundaries. These improvements are useful for advancing coordinated invasive species modeling, management and monitoring from local scales to the regional, continental and global scales at which biological invasions occur and harm native ecosystems and economies, as well as for anticipating and responding to biological invasions under continuing global change.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-015-0914-3","usgsCitation":"Uden, D.R., Allen, C.R., Angeler, D., Corral, L., and Fricke, K.A., 2015, Adaptive invasive species distribution models: A framework for modeling incipient invasions: Biological Invasions, v. 17, no. 10, p. 2831-2850, https://doi.org/10.1007/s10530-015-0914-3.","productDescription":"20 p.","startPage":"2831","endPage":"2850","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064258","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":317929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-31","publicationStatus":"PW","scienceBaseUri":"56bdbebce4b06458514aeebc","contributors":{"authors":[{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":619862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":619855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":619863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corral, Lucia","contributorId":166717,"corporation":false,"usgs":false,"family":"Corral","given":"Lucia","email":"","affiliations":[],"preferred":false,"id":619864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fricke, Kent A.","contributorId":45193,"corporation":false,"usgs":true,"family":"Fricke","given":"Kent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":619865,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173619,"text":"70173619 - 2015 - Climate, water use, and land surface transformation in an irrigation intensive watershed - streamflow responses from 1950 through 2010","interactions":[],"lastModifiedDate":"2020-02-26T17:54:22","indexId":"70173619","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Climate, water use, and land surface transformation in an irrigation intensive watershed - streamflow responses from 1950 through 2010","docAbstract":"Climatic variability and land surface change have a wide range of effects on streamflow and are often difficult to separate. We analyzed long-term records of climate, land use and land cover, and re-constructed the water budget based on precipitation, groundwater levels, and water use from 1950 through 2010 in the Cimarron–Skeleton watershed and a portion of the Cimarron–Eagle Chief watershed in Oklahoma, an irrigation-intensive agricultural watershed in the Southern Great Plains, USA. Our results show that intensive irrigation through alluvial aquifer withdrawal modifies climatic feedback and alters streamflow response to precipitation. Increase in consumptive water use was associated with decreases in annual streamflow, while returning croplands to non-irrigated grasslands was associated with increases in streamflow. Along with groundwater withdrawal, anthropogenic-induced factors and activities contributed nearly half to the observed variability of annual streamflow. Streamflow was more responsive to precipitation during the period of intensive irrigation between 1965 and 1984 than the period of relatively lower water use between 1985 and 2010. The Cimarron River is transitioning from a historically flashy river to one that is more stable with a lower frequency of both high and low flow pulses, a higher baseflow, and an increased median flow due in part to the return of cropland to grassland. These results demonstrated the interrelationship among climate, land use, groundwater withdrawal and streamflow regime and the potential to design agricultural production systems and adjust irrigation to mitigate impact of increasing climate variability on streamflow in irrigation intensive agricultural watershed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2015.07.007","usgsCitation":"Dale, J., Zou, C., Andrews, W.J., Long, J.M., Liang, Y., and Qiao, L., 2015, Climate, water use, and land surface transformation in an irrigation intensive watershed - streamflow responses from 1950 through 2010: Agricultural Water Management, v. 160, p. 144-152, https://doi.org/10.1016/j.agwat.2015.07.007.","productDescription":"9 p.","startPage":"144","endPage":"152","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062619","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.5311279296875,\n 35.98689628443789\n ],\n [\n -97.701416015625,\n 35.58138418324621\n ],\n [\n -97.811279296875,\n 35.49198366469642\n ],\n [\n -98.7506103515625,\n 35.88459964717596\n ],\n [\n -99.4647216796875,\n 36.213255233061844\n ],\n [\n -99.5526123046875,\n 36.461054075054314\n ],\n [\n -99.11865234374999,\n 36.59347887826919\n ],\n [\n -98.3056640625,\n 36.4477991295848\n ],\n [\n -97.525634765625,\n 36.06686213257888\n ],\n [\n -97.52014160156249,\n 36.02244668175846\n ],\n [\n -97.5311279296875,\n 35.98689628443789\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"160","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757f031e4b04f417c24da38","contributors":{"authors":[{"text":"Dale, Joseph","contributorId":171495,"corporation":false,"usgs":false,"family":"Dale","given":"Joseph","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":637689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zou, Chris B.","contributorId":31657,"corporation":false,"usgs":true,"family":"Zou","given":"Chris B.","affiliations":[],"preferred":false,"id":637690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, William J. 0000-0003-4780-8835 wandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":328,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"wandrews@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liang, Ye","contributorId":171496,"corporation":false,"usgs":false,"family":"Liang","given":"Ye","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":637693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Qiao, Lei","contributorId":171497,"corporation":false,"usgs":false,"family":"Qiao","given":"Lei","email":"","affiliations":[],"preferred":false,"id":637694,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187397,"text":"70187397 - 2015 - Abrupt termination of Marine Isotope Stage 16 (Termination VII) at 631.5 ka in Santa Barbara Basin, California","interactions":[],"lastModifiedDate":"2021-08-31T15:05:58.060888","indexId":"70187397","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Abrupt termination of Marine Isotope Stage 16 (Termination VII) at 631.5 ka in Santa Barbara Basin, California","docAbstract":"The Marine Isotope Stage 16–15 boundary (Termination VII) is the first deglacial warming step of the late Quaternary following the mid-Pleistocene transition (MPT), when 41 kyr climatic cycles shifted to strong 100 kyr cycles. The detailed structure of this important climatic event has remained unknown until now. Core MV0508-19JPC from Santa Barbara Basin, California, contains a decadal-scale climatic and geochemical sediment record of 4000 years duration that includes the early part of this deglacial episode. This record reveals that the climatic shift during the early deglacial occurred rapidly (<700 years), in a progression of three abrupt warming steps. The onset of Marine Isotope Stage (MIS) 15 was remarkably abrupt with 4–5°C sea surface warming in ~50 years. The deglacial sequence contains the well-dated Lava Creek tephra (631.3 ± 4 ka) from Yellowstone Caldera used to date the onset of Termination VII at 631.5 ka. The late MIS 16 and early MIS 15 interval exhibits multiple decadal-scale negative excursions in δ13C of planktic foraminifera, likely the result of repeated discharges of methane from methane hydrates associated with both ocean warming and low sea level. A warm interstadial that interrupts late MIS 16 is marked by elevated concentrations of redox-sensitive elements indicating sulfidic, oxygen-deficient bottom and pore-waters, and elevated concentrations of total organic carbon and Cd, reflecting increased surface productivity. Unlike younger sediments on the California margin, these indicators of increased productivity and low dissolved oxygen do not consistently correspond with each other or with preserved laminations, possibly reflecting instability of a still evolving ocean-atmosphere system following the MPT.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014PA002756","usgsCitation":"Dean, W.E., Kennett, J.P., Behl, R.J., Nicholson, C., and Sorlien, C., 2015, Abrupt termination of Marine Isotope Stage 16 (Termination VII) at 631.5 ka in Santa Barbara Basin, California: Paleoceanography, v. 30, no. 10, p. 1373-1390, https://doi.org/10.1002/2014PA002756.","productDescription":"18 p.","startPage":"1373","endPage":"1390","ipdsId":"IP-053846","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":471756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014pa002756","text":"Publisher Index Page"},{"id":340705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.63812255859375,\n 33.82023008524739\n ],\n [\n -119.080810546875,\n 33.82023008524739\n ],\n [\n -119.080810546875,\n 34.58573628651288\n ],\n [\n -120.63812255859375,\n 34.58573628651288\n ],\n [\n -120.63812255859375,\n 33.82023008524739\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"10","noUsgsAuthors":false,"publicationDate":"2015-10-31","publicationStatus":"PW","scienceBaseUri":"59084929e4b0fc4e448ffd5a","contributors":{"authors":[{"text":"Dean, Walter E. dean@usgs.gov","contributorId":1801,"corporation":false,"usgs":true,"family":"Dean","given":"Walter","email":"dean@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennett, James P.","contributorId":52499,"corporation":false,"usgs":true,"family":"Kennett","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Behl, Richard J.","contributorId":191680,"corporation":false,"usgs":false,"family":"Behl","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":693840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicholson, Craig","contributorId":80695,"corporation":false,"usgs":true,"family":"Nicholson","given":"Craig","email":"","affiliations":[],"preferred":false,"id":693841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sorlien, Christopher C.","contributorId":78813,"corporation":false,"usgs":true,"family":"Sorlien","given":"Christopher C.","affiliations":[],"preferred":false,"id":693842,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157217,"text":"ofr20151178 - 2015 - A preliminary investigation of the variables affecting the distribution of giant gartersnakes (Thamnophis gigas) in the Sacramento Valley, California","interactions":[],"lastModifiedDate":"2015-10-01T09:16:10","indexId":"ofr20151178","displayToPublicDate":"2015-09-30T18:30:00","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":"2015-1178","title":"A preliminary investigation of the variables affecting the distribution of giant gartersnakes (Thamnophis gigas) in the Sacramento Valley, California","docAbstract":"Giant gartersnakes (Thamnophis gigas) comprise a species of rare, semi-aquatic snake precinctive to the Central Valley of California. Because of the loss of more than 90% of their natural habitat, giant gartersnakes are listed as Threatened by the United States and California endangered species acts. Little is known, however, about the distribution of giant gartersnakes in the Sacramento Valley, which is where most extant populations occur. We conducted detection-nondetection surveys for giant gartersnakes throughout the rice-growing regions of the Sacramento Valley, and used occupancy models to examine evidence for the effects of landscape-scale GIS-derived variables, local habitat and vegetation composition, and prey communities on patterns of giant gartersnake occurrence. Although our results are based on a relatively small sample of sites, we found that distance to historic marsh, relative fish count, and an interaction of distance to historic marsh with proportion of habitat composed of submerged vegetation were important variables for explaining occupancy of giant gartersnakes. In particular, giant gartersnakes were more likely to occur closer to historic marsh and where relatively fewer fish were captured in traps. At locations in or near historic marsh, giant gartersnakes were more likely to occur in areas with less submerged vegetation, but this relationship was reversed (and more uncertain) at sites distant from historic marsh. Additional research with a larger sample of sites would further elucidate the distribution of giant gartersnakes in the Sacramento Valley.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151178","collaboration":"Prepared in cooperation with the California Department of Water Resources","usgsCitation":"Halstead, B.J., Skalos, S.M., Casazza, M.L., and Wylie, G.D., 2015, A preliminary investigation of the variables affecting the distribution of giant gartersnakes (Thamnophis gigas) in the Sacramento Valley, California: U.S. Geological Survey Open-File Report 2015-1178, 34 p., https://dx.doi.org/10.3133/ofr20151178.","productDescription":"vi, 34 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-066320","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":309380,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1178/coverthb.jpg"},{"id":309381,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1178/ofr20151178.pdf","text":"Report","size":"4.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1178 PDF"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.72277832031251,\n 38.25112269630296\n ],\n [\n -122.72277832031251,\n 40.28371627054261\n ],\n [\n -120.91003417968749,\n 40.28371627054261\n ],\n [\n -120.91003417968749,\n 38.25112269630296\n ],\n [\n -122.72277832031251,\n 38.25112269630296\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
http://www.werc.usgs.gov/
Clear Creek is a small stream that drains the eastern Sierra Nevada near Lake Tahoe, flows roughly parallel to the U.S. Highway 50 corridor, and discharges to the Carson River near Carson City, Nevada. Historical and ongoing development in the drainage basin is thought to be affecting Clear Creek and its sediment-transport characteristics. A baseline study from water years 2004–07 collected and evaluated data at three Clear Creek sampling sites. These data included discharge, selected water-quality parameters, and suspended-sediment concentrations, loads, and yields. This study builds on what was learned from the baseline study in water years 2004–07 and serves as a continuation of the data collection and analyses of the Clear Creek discharge regime and associated water-quality and sediment concentrations and loads during water years 2010–12.
\nDuring this study, total annual sediment loads ranged from 355 tons per year in 2010 to 1,768 tons per year in 2011 and were significantly lower than the previous study (water years 2004–07). Bedload represented between 29 and 38 percent of total sediment load in water years 2010–12, and between 72 and 90 percent of the total sediment load in water years 2004–07, which indicates a decrease in bedload between study periods. Annual suspended-sediment loads in water years 2010–12 indicated no significant change from water years 2004–07. Mean daily discharge was significantly lower in water years 2010–12 than in waters years 2004–07 and may be the reason for the decrease in bedload that resulted in a lower total sediment load.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155124","collaboration":"Prepared in cooperation with the Nevada Department of Transportation","usgsCitation":"Huntington, J.M., and Savard, C.S., 2015, Discharge, suspended sediment, bedload, and water quality in Clear Creek, western Nevada, water years 2010–12: U.S. Geological Survey Scientific Investigations Report 2015-5124, 39 p., https://dx.doi.org/10.3133/sir20155124.","productDescription":"vi, 39 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-10-01","temporalEnd":"2010-09-30","ipdsId":"IP-040257","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":309378,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5124/coverthb.jpg"},{"id":309379,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5124/sir20155124.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5124 PDF"}],"country":"United States","state":"Nevada","otherGeospatial":"Clear Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.91920471191406,\n 39.02665200282546\n ],\n [\n -119.91920471191406,\n 39.188360332930166\n ],\n [\n -119.72333908081055,\n 39.188360332930166\n ],\n [\n -119.72333908081055,\n 39.02665200282546\n ],\n [\n -119.91920471191406,\n 39.02665200282546\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, NV 89701
http://nevada.usgs.gov/water/
Beginning in 2005, after decades of planning, the U.S. Army Corps of Engineers (USACE) undertook a major construction effort to reduce the effects of flooding on the city of Roanoke, Virginia—the Roanoke River Flood Reduction Project (RRFRP). Prompted by concerns about the potential for RRFRP construction-induced geomorphological instability and sediment liberation and the detrimental effects these responses could have on the endangered Roanoke logperch (Percina rex), the U.S. Geological Survey (USGS) partnered with the USACE to provide a real-time warning network and a long-term monitoring program to evaluate geomorphological change and sediment transport in the affected river reach. Geomorphological change and suspended-sediment transport are highly interdependent and cumulatively provide a detailed understanding of the sedimentary response, or lack thereof, of the Roanoke River to construction of the RRFRP.
\nBed-sediment composition was usually finer in post-construction than pre-construction measurements, yet the annual changes in composition were not significantly different; thus, there was minimal evidence that RRFRP construction practices alone induced fining of bed materials. Cross-sectional surveys revealed variability in bankfull and base-flow channel geometry metrics, but no significant differences in this variability were detected between pre- and post-construction measurements, excluding designed alterations in channel geometry. A lack of channel-forming streamflow events, however, limited the ability to fully characterize the stability of the constructed channel and floodplain features, as bankfull flow events occurred only 2 of the 8 years of study. Therefore, additional channel surveys may be needed in the future, once sufficient channel-forming events have occurred, to fully assess stability. Relations between turbidity and suspended sediment were statistically indistinguishable between the upstream and downstream limits of the RRFRP construction reach. These relations did not change over time, indicating no significant changes in suspended-sediment composition or source in the construction reach during the period of study.
\nResults of the geomorphological and suspended-sediment monitoring components were largely in agreement and consistent with those of a related effort that monitored the logperch population before and during construction. These findings suggest that construction and sediment-control practices sufficiently protected in-stream habitat and the organisms that inhabit those locations, namely the Roanoke logperch, during the period monitored.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155111","isbn":"978-1-4113-3967-5","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Jastram, J.D., Krstolic, J.L., Moyer, D.L., and Hyer, K.E., 2015, Fluvial geomorphology and suspended-sediment transport during construction of the Roanoke River Flood Reduction Project in Roanoke, Virginia, 2005–2012: U.S. Geological Survey Scientific Investigations Report 2015–5111, 53 p., https://dx.doi.org/10.3133/sir20155111.","productDescription":"Report: vii, 53 p.; Appendixes 2-3","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2005-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-061895","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":308681,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5111/sir2015-5111_appendix3.pdf","text":"Appendix3","size":"7.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5111","linkHelpText":"Photographs for each geomorphology monitoring site, Roanoke, Virginia"},{"id":308652,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5111/sir20155111.pdf","text":"Report","size":"5.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5111"},{"id":342748,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8WXK","text":"USGS data release","description":"USGS data release","linkHelpText":"Annual Channel Geomorphology Cross-Section Surveys 2005-2012 in Roanoke, Virginia"},{"id":308680,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5111/sir2015-5111_appendix2.zip","text":"Appendix 2","size":"1.59 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5111","linkHelpText":"Roanoke geomorphology surveys database, also available through the associated USGS data release"},{"id":308651,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5111/coverthb.jpg"}],"country":"United States","state":"Virginia","city":"Roanoke","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.08415222167969,\n 37.232515211349174\n ],\n [\n -80.08415222167969,\n 37.32867264506217\n ],\n [\n -79.89738464355469,\n 37.32867264506217\n ],\n [\n -79.89738464355469,\n 37.232515211349174\n ],\n [\n -80.08415222167969,\n 37.232515211349174\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
http://va.water.usgs.gov
An important and sometimes overlooked aspect of contemporary natural gas exploration, development, and delivery activities is the geographic profile and spatial footprint that these activities have on the land surface. The function of many ecosystems and the goods and services they provide, in large part, are the result of their natural spatial arrangement on the landscape. Shale-gas development can create alterations to the pattern of land use and land cover, and represents a specific form of land use and land cover change that can substantially impact critical aspects of the spatial pattern, form, and function of landscape interactions, including many biological responses.
\nThe need for energy resources has created numerous economic opportunities for hydrocarbon extraction in the Appalachian basin. The development of alternative energy natural gas resources from deep-shale drilling techniques, along with conventional natural gas extraction methods, has created a flurry of wells, roads, pipelines, and related infrastructure across many parts of the region. An unintended and sometimes overlooked consequence of these activities is their effect on the structure and function of the landscape and ecosystems. The collective effect of over 100,000 hydrocarbon extraction permits for oil, coal bed methane, Marcellus and Utica Shale natural gas wells, and other types of hydrocarbon gases and their associated infrastructure has saturated much of the landscape and disturbed the natural environment in the Appalachian basin. The disturbance created by the sheer magnitude of the development of these collective wells and infrastructure directly affects how the landscape and ecosystems function and how they provide ecological goods and services.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153064","usgsCitation":"Slonecker, E.T., Milheim, L.E., Roig-Silva, C.M., and Kalaly, S.S., 2015, Effects of hydrocarbon extraction on landscapes of the Appalachian basin: U.S. Geological Survey Fact Sheet 2015–3064, 2 p., https://dx.doi.org/10.3133/fs20153064.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-065693","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":308980,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3064/coverthb.jpg"},{"id":308981,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3064/fs20153064.pdf","text":"Report","size":"2.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3064"}],"country":"United States","state":"New York, Ohio, Pennsylvania, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.388671875,\n 42.924251753870685\n ],\n [\n -76.6845703125,\n 43.40504748787035\n ],\n [\n -82.880859375,\n 41.42625319507272\n ],\n [\n -82.81494140625,\n 38.53097889440026\n ],\n [\n -83.91357421875,\n 36.63316209558658\n ],\n [\n -79.82666015625,\n 37.16031654673677\n ],\n [\n -77.58544921874999,\n 39.30029918615029\n ],\n [\n -73.388671875,\n 42.924251753870685\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geographic Science Center
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