Source-bordering dunefields (SBDs), which are primarily built and maintained with river-derived sediment, are found in many large river valleys and are currently impacted by changes in sediment supply due to climate change, land use changes, and river regulation. Despite their importance, a physically based, applied approach for quantifying the response of SBDs to changes in sediment supply does not exist. To address this knowledge gap, here we develop an approach for quantifying the geomorphic responses to sediment-supply alteration based on the interpretation of dunefield morphodynamics from geomorphic change detection and wind characteristics. We use the approach to test hypotheses about the response of individual dunefields to variability in sediment supply at three SBDs along the Colorado River in Grand Canyon, Arizona, USA during the 11 years between 2002 and 2013 when several river floods rebuilt some river sandbars and channel margin deposits that serve as sediment source areas for the SBDs. We demonstrate that resupply of fluvially sourced aeolian sediment occurred at one of the SBDs, but not at the other two, and attribute this differential response to site-specific variability in geomorphology, wind, and sediment source areas. The approach we present is applied in a companion study to shorter time periods with high-resolution topographic data that bracket individual floods in order to infer the resupply of fluvially sourced aeolian sediment to SBDs by managed river flows. Such an applied methodology could also be useful for measuring sediment connectivity and anthropogenic alterations of connectivity in other coupled fluvial-aeolian environments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2018.02.005","usgsCitation":"Sankey, J.B., Kasprak, A., Caster, J., East, A.E., and Fairley, H.C., 2018, The response of source-bordering aeolian dunefields to sediment-supply changes 1: Effects of wind variability and river-valley morphodynamics: Aeolian Research, v. 32, p. 228-245, https://doi.org/10.1016/j.aeolia.2018.02.005.","productDescription":"18 p.","startPage":"228","endPage":"245","ipdsId":"IP-091253","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2018.02.005","text":"Publisher Index Page"},{"id":353401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.04907226562499,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 35.64390523787731\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbed0","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":204162,"corporation":false,"usgs":true,"family":"Kasprak","given":"Alan","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":733243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":733244,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195493,"text":"sim3396 - 2018 - Geologic map of the Weldona 7.5' quadrangle, Morgan County, Colorado","interactions":[],"lastModifiedDate":"2019-05-15T09:28:56","indexId":"sim3396","displayToPublicDate":"2018-04-09T10:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3396","title":"Geologic map of the Weldona 7.5' quadrangle, Morgan County, Colorado","docAbstract":"The Weldona 7.5′ quadrangle is located on the semiarid plains of northeastern Colorado, along the South Platte River corridor where the river has incised into Upper Cretaceous Pierre Shale. The Pierre Shale is largely covered by surficial deposits that formed from alluvial, eolian, and hillslope processes operating in concert with environmental changes from the Pleistocene to the present. The South Platte River, originating high in the Colorado Rocky Mountains, has played a major role in shaping surficial geology in the map area, which is several tens of kilometers downstream from where headwater tributaries join the river. Recurrent glaciation (and deglaciation) of basin headwaters has affected river discharge and sediment supply far downstream, influencing deposition of alluvium and river incision in the Weldona quadrangle. During the Pleistocene the course of the river within the map area shifted progressively southward as it incised, and by late middle Pleistocene the river was south of its present position, cutting and filling deep paleochannels now covered by younger alluvium. The river shifted back to the north during the late Pleistocene. Kiowa and Bijou Creeks are unglaciated tributaries originating in the Colorado Piedmont east of the Front Range that also have played a major role in shaping surficial geology of the map area. Periodically during the late Pleistocene, major flood events on these tributaries deposited large volumes of sediment at their confluences, forming a broad, low-gradient fan of sidestream alluvium that could have occasionally dammed the river for short periods of time. Eolian sand deposits of the Sterling (north of river) and Fort Morgan (south of river) dune fields cover much of the quadrangle and record past episodes of sand mobilization during times of prolonged drought. With the onset of irrigation and damming during historical times, the South Platte River has changed from a broad, shallow, and sandy braided river with highly variable seasonal discharge to a much narrower, deeper river with braided-meandering transition morphology and more uniform discharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3396","usgsCitation":"Berry, M.E., Taylor, E.M., Slate, J.L., Paces, J.B., Hanson, P.R., and Brandt, T.R., 2018, Geologic map of the Weldona 7.5′ quadrangle, Morgan County, Colorado: U.S. Geological Survey Scientific Investigations Map 3396, 1 sheet, scale 1:24,000, https://doi.org/10.3133/sim3396.","productDescription":"Map: 54.85 x 37.32 inches; 4 Related Works; 2 Data releases; Read Me","onlineOnly":"Y","ipdsId":"IP-087648","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":352658,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QN65M3","text":"USGS data release","linkHelpText":"Data release of OSL, 14C, and U-series age data supporting geologic mapping along the South Platte River corridor in northeastern Colorado"},{"id":352657,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3344","text":"Scientific Investigations Map 3344 —","linkHelpText":"Geologic map of the Masters 7.5' quadrangle, Weld and Morgan Counties, Colorado"},{"id":352656,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/sim3331","text":"Scientific Investigations Map 3331 —","linkHelpText":"Geologic map of the Orchard 7.5' quadrangle, Morgan County, Colorado"},{"id":352662,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3396/sim3396_geospatial_map.pdf","text":"Georeferenced Map","size":"339 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3336 Georeferenced Map"},{"id":352388,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3396/sim3396_map.pdf","text":"Map","size":"4.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3336 Map"},{"id":353176,"rank":8,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3396/sim3396_readme.txt","text":"Read Me","size":"8.0kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3396 Read Me"},{"id":352672,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7610Z63","text":"USGS data release","linkHelpText":"Data release for the geologic map of the Weldona 7.5' quadrangle, Morgan County, Colorado"},{"id":352387,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3396/coverthb.jpg"},{"id":354897,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3408","text":"Scientific Investigations Map 3408 —","linkHelpText":"Geologic map of the Fort Morgan 7.5' quadrangle, Morgan County, Colorado"},{"id":363172,"rank":10,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20195020","text":"Scientific Investigations Report 2019-5020 —","linkHelpText":"Pleistocene and Holocene Landscape Development of the South Platte River Corridor, Northeastern Colorado"}],"country":"United States","state":"Colorado","county":"Morgan County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104,\n 40.25\n ],\n [\n -103.875,\n 40.25\n ],\n [\n -103.875,\n 40.375\n ],\n [\n -104,\n 40.375\n ],\n [\n -104,\n 40.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, Mail Stop 980
Denver, CO 80225
http://gec.cr.usgs.gov/
Kings Bay, Florida, is one of the most important natural winter habitat locations for the federally threatened Trichechus manatus latirostris (Florida manatee). Crystal River National Wildlife Refuge was established in 1983 specifically to provide protection for manatees and their critical habitat. To aid managers at the refuge and other agencies with this task, spatial analyses of local habitat use locations and travel corridors of manatees in Kings Bay during manatee season (November 15–March 31) are presented based on Global Positioning System telemetry of 41 manatees over a 12-year timespan (2006−18). Local habitat use areas and travel corridors differed spatially when Gulf of Mexico water temperatures were cold (less than or equal to 17 degrees Celsius) versus when they were warm (greater than 17 degrees Celsius). During times of cold water, manatees were found in higher concentrations in the main springs and canals throughout the eastern side of the bay, whereas when waters were warm, they were found more generally throughout the bay and into Crystal River, except for the central open part of the bay and the southwest corner.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181051","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the Bureau of Ocean Energy Management","usgsCitation":"Slone, D.H., Butler, S.M., and Reid, J.P., 2018, Movements and habitat use locations of manatees within Kings Bay Florida during the Crystal River National Wildlife Refuge winter season (November 15–March 31): U.S. Geological Survey Open-File Report 2018–1051, 11 p., https://doi.org/10.3133/ofr20181051.","productDescription":"iv, 11 p.","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-096292","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":353049,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20171146","text":"Open-File Report 2017-1146","linkHelpText":"Timing of warm water refuge use in Crystal River National Wildlife Refuge by manatees—Results and insights from Global Positioning System telemetry data"},{"id":353037,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1051/coverthb2.jpg"},{"id":353038,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1051/ofr20181051.pdf","text":"Report","size":"3.92 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1051"}],"country":"United States","state":"Florida","otherGeospatial":"Kings Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.62,\n 28.9\n ],\n [\n -82.58,\n 28.9\n ],\n [\n -82.58,\n 28.875\n ],\n [\n -82.62,\n 28.875\n ],\n [\n -82.62,\n 28.9\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey
7920 NW 71 Street
Gainesville, FL 32653
The Lower Valley 7.5-minute quadrangle, located in the core of the Southeast Idaho Phosphate Resource Area, includes Mississippian to Triassic marine sedimentary rocks, Pliocene to Pleistocene basalt, and Tertiary to Holocene surficial deposits. The Mississippian to Triassic marine sedimentary sequence was deposited on a shallow shelf between an emergent craton to the east and the Antler orogenic belt to the west. The Meade Peak Phosphatic Shale Member of the Permian Phosphoria Formation hosts high-grade deposits of phosphate that were the subject of geologic studies through much of the 20th century. Open-pit mining of the phosphate has been underway within and near the Lower Valley quadrangle for several decades.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3215","usgsCitation":"Oberlindacher, H.P., Hovland, R.D., Miller, S.T. , Evans, J.G., and Miller, R.J., 2018, Geologic map of the Lower Valley quadrangle, Caribou County, Idaho: U.S. Geological Survey Scientific Investigations Map 3215, 6 p., 1 sheet, scale 1:24,000, https://doi.org/10.3133/sim3215.","productDescription":"Map: 35.72 x 31.32 inches; Pamphlet: iii, 6 p.; Spatial Data; Metadata; Read Me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-088533","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":353192,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_mapsheet.pdf","text":"Geologic Map","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3215 Sheet"},{"id":353193,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_metadata.txt","size":"45 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3215 Metadata"},{"id":353194,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_geodatabase.zip","text":"Geodatabase","size":"1.7 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3215 Geodatabase"},{"id":353195,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_shapefiles.zip","text":"Shapefiles","size":"2.2 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3215 Shapefiles"},{"id":353196,"rank":8,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3215/SIM3215_basemap.zip","text":"Base map","size":"7.4 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3215 Base map"},{"id":353189,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3215/coverthb.jpg"},{"id":353190,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_pamphlet.pdf","text":"Pamphlet","size":"405 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3215 Pamphlet"},{"id":353191,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3215/sim3215_readme.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3215 Read Me"}],"country":"United States","state":"Idaho","county":"Caribou County","otherGeospatial":"Lower Valley quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.375,\n 42.875\n ],\n [\n -111.5,\n 42.875\n ],\n [\n -111.5,\n 42.75\n ],\n [\n -111.375,\n 42.75\n ],\n [\n -111.375,\n 42.875\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"The U.S. Geological Survey (USGS) conducted a program of bedrock geologic mapping in much of the central and western Upper Peninsula of Michigan from the 1940s until the late 1990s. Geologic studies in this region are hampered by a scarcity of bedrock exposures because of a nearly continuous blanket of unconsolidated sediments resulting from glaciation of the region during the Pleistocene ice ages. The USGS mapping, done largely at a scale of 1:24,000, routinely recorded the location and extent of exposed bedrock to provide both an indication of where direct observations were made and a guide for future investigations to expedite location of observable rock exposures. The locations of outcrops were generally shown as colored or patterned overlays on printed geologic maps. Although those maps have been scanned and are available as Portable Document Format (PDF) files, no further digital portrayal of the outcrops had been done. We have conducted a prototype study of digitizing and improving locational accuracy of the outcrop locations in parts of Dickinson County, Michigan, to form a data layer that can be used with other data layers in geographic information system applications.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181042","usgsCitation":"Cannon, W.F., Schulte, Ruth, and Bickerstaff, Damon, 2018, Digital representation of exposures of Precambrian bedrock in parts of Dickinson and Iron Counties, Michigan, and Florence and Marinette Counties, Wisconsin: \nU.S. Geological Survey Open-File Report 2018–1042, 3 p., https://doi.org/10.3133/ofr20181042.","productDescription":"Report: 3 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-091916","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":352778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1042/coverthb.jpg"},{"id":352779,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1042/ofr20181042.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1042"},{"id":352780,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SJ1JH0","text":"USGS data release","description":"USGS data release"}],"country":"United States","state":"Michigan, Wisconsin","county":"Dickinson County, Florence County, Iron County, Marinette County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.1333,\n 45.75\n ],\n [\n -87.7,\n 45.75\n ],\n [\n -87.7,\n 46.1\n ],\n [\n -88.1333,\n 46.1\n ],\n [\n -88.1333,\n 45.75\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Eastern Mineral and Environmental Resources
12201 Sunrise Valley Drive
Mail Stop 954
Reston, VA 20192
ebra mussels (Dreissena polymorpha) and quagga mussels (Dreissena bugensis) were likely introduced from Ponto-Caspian Eurasia to the Laurentian Great Lakes inadvertently via ballast water release in the 1980s and have since spread across the US, including Texas. Their spread into the state, including reservoirs in both Brazos River and Colorado River basins, has resulted in a need to delimit suitable dreissenid habitat and dispersal potential in Texas. The objective of our research was to assess invasion risk in Texas by 1) predicting distribution of suitable habitat of zebra and quagga mussels using Maxent models; 2) refining lake-specific predictions for present zebra mussels via collection of physicochemical data; and 3) assessing the potential for downstream spread of zebra mussels by applying environmental DNA (eDNA) methods in the Leon and Lampasas Rivers downstream from the invaded Lakes Belton and Stillhouse Hollow, respectively.
Maxent models did not predict the occurrence of suitable habitat for quagga mussels within Texas. However, our models accurately identified global zebra mussel habitat (AUC = 0.919), and Bioclim layers representing temperature and precipitation data both strongly influenced predictions. Predicted “hotspots” of suitable zebra mussel habitat in Texas occurred along the Red and Sabine Rivers of north and east Texas, as well as patches of suitable habitat in central Texas between the Colorado and Brazos Rivers and extending inland along the Gulf Coast. Most of the Texas panhandle, west Texas extending toward El Paso, and the Rio Grande valley were predicted to provide poor habitat suitability.
Collection of physicochemical data (dissolved oxygen, pH, specific conductance, and temperature on-site as well as laboratory analysis for Ca, N, and P) from zebra mussel invaded lakes and a subset of identified high-risk lakes of North and Central Texas, did not aid predictions. Visual inspection of biplots of the first three components of a principle component analysis, which together accounted for ~80% of data variability, did not reveal separation between invaded and uninvaded lakes, and logistic regression analysis also failed to identify predictive relationships between measured variables and invasion status.
Using eDNA analysis, we detected the presence of zebra mussel eDNA at 11 of 12 sites and up to at least 90.7 river km downstream from a pair of infested reservoirs. Rate of positive detection among water samples at each site ranged from 1/5 to 5/5, and within positive water samples, rate of detection among technical replicates ranged from 1/8 to 8/8, suggesting considerable heterogeneity in the zebra mussel eDNA signal in both rivers. Furthermore, no clear spatial pattern in detection rate occurred.
Thus, a monitoring strategy that combines traditional sampling (e.g. settlement substrate samplers and microscopy) at sites immediately below a dam, and transitioning to more sensitive eDNA analysis at distances further from the dam may represent the most successful strategy for detection of dreissenid mussel downstream dispersal. Overall, we have demonstrated that while quagga mussels do not appear to represent an invasive threat in Texas, suitable habitat for continuing zebra mussel invasion exists within Texas, and stream and river connections may contribute to their spread. The threat of continued expansion of this poster-child for negative invasive species impacts warrants further prevention efforts, management, and research.
","language":"English","publisher":"Texas Tech University","usgsCitation":"Barnes, M., and Patino, R., 2018, Assessing the risk of dreissenid mussel invasion in Texas based on lake physical characteristics and potential for downstream dispersal, 28 p.","productDescription":"28 p.","ipdsId":"IP-093396","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":426898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":426897,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://tpwd.texas.gov/landwater/water/aquatic-invasives/research2.phtml","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"continental United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barnes, Matthew A","contributorId":268325,"corporation":false,"usgs":false,"family":"Barnes","given":"Matthew A","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":897107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832423,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70197082,"text":"70197082 - 2018 - Bat activity following restoration prescribed burning in the central Appalachian Upland and riparian habitats","interactions":[],"lastModifiedDate":"2018-05-16T12:47:32","indexId":"70197082","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Bat activity following restoration prescribed burning in the central Appalachian Upland and riparian habitats","docAbstract":"After decades of fire suppression in eastern North America, land managers now are prioritizing prescribed fire as a management tool to restore or maintain fire-adapted vegetation communities. However, in long—fire-suppressed landscapes, such as the central and southern Appalachians, it is unknown how bats will respond to prescribed fire in both riparian and upland forest habitats. To address these concerns, we conducted zero-crossing acoustic surveys of bat activity in burned, unburned, riparian, and non-riparian areas in the central Appalachians, Virginia, USA. Burn and riparian variables had model support (ΔAICc < 4) to explain activity of all bat species. Nonetheless, parameter estimates for these conditions were small and confidence intervals overlapped zero for all species, indicating effect sizes were marginal. Our results suggest that bats respond to fire differently between upland and riparian forest habitats, but overall, large landscape-level prescribed fire has a slightly positive to neutral impact on all bats species identified at our study site post—fire application.
","language":"English","publisher":"Natural Areas Association","doi":"10.3375/043.038.0208","usgsCitation":"Austin, L.V., Silvis, A., Ford, W., Muthersbaugh, M., and Powers, K.E., 2018, Bat activity following restoration prescribed burning in the central Appalachian Upland and riparian habitats: Natural Areas Journal, v. 38, no. 2, p. 183-195, https://doi.org/10.3375/043.038.0208.","productDescription":"13 p.","startPage":"183","endPage":"195","ipdsId":"IP-090018","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468869,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zotero.org/groups/5435545/items/IJH3YNVT","text":"External Repository"},{"id":354216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Bath County","otherGeospatial":"George Washington National Forest","volume":"38","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6ebe4b0da30c1bfbf6f","contributors":{"authors":[{"text":"Austin, Lauren V.","contributorId":204944,"corporation":false,"usgs":false,"family":"Austin","given":"Lauren","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":735519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":735520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":735504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muthersbaugh, Michael","contributorId":204945,"corporation":false,"usgs":false,"family":"Muthersbaugh","given":"Michael","affiliations":[],"preferred":false,"id":735521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powers, Karen E.","contributorId":171456,"corporation":false,"usgs":false,"family":"Powers","given":"Karen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":735522,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197880,"text":"70197880 - 2018 - 2018 one‐year seismic hazard forecast for the central and eastern United States from induced and natural earthquakes","interactions":[],"lastModifiedDate":"2018-06-25T11:02:24","indexId":"70197880","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"2018 one‐year seismic hazard forecast for the central and eastern United States from induced and natural earthquakes","docAbstract":"This article describes the U.S. Geological Survey (USGS) 2018 one‐year probabilistic seismic hazard forecast for the central and eastern United States from induced and natural earthquakes. For consistency, the updated 2018 forecast is developed using the same probabilistic seismicity‐based methodology as applied in the two previous forecasts. Rates of earthquakes across the United States
Atoll and island coastal communities are highly exposed to sea-level rise, tsunamis, storm surges, rogue waves, king tides, and the occasional combination of multiple factors, such as high regional sea levels, extreme high local tides, and unusually strong wave set-up. The elevation of most of these atolls averages just under 3 meters (m), with many areas roughly at sea level. The lack of high-resolution topographic data has been identified as a critical data gap for hazard vulnerability and adaptation efforts and for high-resolution inundation modeling for atoll nations. Modern topographic survey equipment and airborne lidar surveys can be very difficult and costly to deploy. Therefore, unmanned aircraft systems (UAS) were investigated for collecting overlapping imagery to generate topographic digital elevation models (DEMs). Medium- and high-resolution satellite imagery (Landsat 8 and WorldView-3) was investigated to derive nearshore bathymetry.
The Republic of the Marshall Islands is associated with the United States through a Compact of Free Association, and Majuro Atoll is home to the capital city of Majuro and the largest population of the Republic of the Marshall Islands. The only elevation datasets currently available for the entire Majuro Atoll are the Shuttle Radar Topography Mission and the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model Version 2 elevation data, which have a 30-m grid-cell spacing and a 8-m vertical root mean square error (RMSE). Both these datasets have inadequate spatial resolution and vertical accuracy for inundation modeling.
The final topobathymetric DEM (TBDEM) developed for Majuro Atoll is derived from various data sources including charts, soundings, acoustic sonar, and UAS and satellite imagery spanning over 70 years of data collection (1944 to 2016) on different sections of the atoll. The RMSE of the TBDEM over the land area is 0.197 m using over 70,000 Global Navigation Satellite System real-time kinematic survey points for validation, and 1.066 m for Landsat 8 and 1.112 m for WorldView-3 derived bathymetry using over 16,000 and 9,000 lidar bathymetry points, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185047","usgsCitation":"Palaseanu-Lovejoy, M., Poppenga, S.K., Danielson, J.J., Tyler, D.J., Gesch, D.B., Kottermair, M., Jalandoni, A., Carlson, E., Thatcher, C.A., and Barbee, M.M., 2018, One-meter topobathymetric digital elevation model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016: U.S. Geological Survey Scientific Investigations Report 2018–5047, 16 p., https://doi.org/10.3133/sir20185047.","productDescription":"vii, 16 p.","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-090429","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":352868,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5047/sir20185047.pdf","text":"Report","size":"2.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5047"},{"id":352867,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5047/coverthb.jpg"}],"country":"Republic of the Marshall Islands","otherGeospatial":"Majuro Atoll","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 170.96923828125,\n 7.009578865370235\n ],\n [\n 171.42654418945312,\n 7.009578865370235\n ],\n [\n 171.42654418945312,\n 7.261669781279355\n ],\n [\n 170.96923828125,\n 7.261669781279355\n ],\n [\n 170.96923828125,\n 7.009578865370235\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geographic Science Center
U.S. Geological Survey
Mail Stop 521
12201 Sunrise Valley Drive
Reston, VA 20192
The practice of fire suppression across the western United States over the past century has led to dense forests, and when coupled with drought has contributed to an increase in large and destructive wildfires. Forest management efforts aimed at reducing flammable fuels through various fuel treatments can help to restore frequent fire regimes and increase forest resilience. Our research examines how different fuel treatments influenced burn severity and post-fire vegetative stand dynamics on the San Carlos Apache Reservation, in east-central Arizona, U.S.A. Our methods included the use of multitemporal remote sensing data and cloud computing to evaluate burn severity and post-fire vegetation conditions as well as statistical analyses. We investigated how forest thinning, commercial harvesting, prescribed burning, and resource benefit burning (managed wildfire) related to satellite measured burn severity (the difference Normalized Burn Ratio – dNBR) following the 2013 Creek Fire and used spectral measures of post-fire stand dynamics to track changes in land surface characteristics (i.e., brightness, greenness and wetness). We found strong negative relationships between dNBR and post-fire greenness and wetness, and a positive non-linear relationship between dNBR and brightness, with greater variability at higher severities. Fire severity and post-fire surface changes also differed by treatment type. Our results showed harvested and thinned sites that were not treated with prescribed fire had the highest severity fire. When harvesting was followed by a prescribed burn, the sites experienced lower burn severity and reduced post-fire changes in vegetation greenness and wetness. Areas that had previously experienced resource benefit burns had the lowest burn severities and the highest post-fire greenness measurements compared to all other treatments, except for where the prescribed burn had occurred. These results suggest that fire treatments may be most effective at reducing the probability of hazardous fire and increasing post-fire recovery. This research demonstrates the utility of remote sensing and spatial data to inform forest management, and how various fuel treatments can influence burn severity and post-fire vegetation response within ponderosa pine forests across the southwestern U.S.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2018.01.036","usgsCitation":"Petrakis, R., Villarreal, M.L., Wu, Z., Hetzler, R., Middleton, B.R., and Norman, L., 2018, Evaluating and monitoring forest fuel treatments using remote sensing applications in Arizona, U.S.A.: Forest Ecology and Management, v. 413, p. 48-61, https://doi.org/10.1016/j.foreco.2018.01.036.","productDescription":"14 p.","startPage":"48","endPage":"61","ipdsId":"IP-083699","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468881,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2018.01.036","text":"Publisher Index Page"},{"id":437976,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z31WW4","text":"USGS data release","linkHelpText":"Dataset for 2013 Creek Fire Research Points, Pre- and Post-Fire Data"},{"id":352992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.75,\n 33\n ],\n [\n -109.5,\n 33\n ],\n [\n -109.5,\n 33.8\n ],\n [\n -110.75,\n 33.8\n ],\n [\n -110.75,\n 33\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"413","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6f5e4b0da30c1bfbfaf","contributors":{"authors":[{"text":"Petrakis, Roy E. 0000-0001-8932-077X rpetrakis@usgs.gov","orcid":"https://orcid.org/0000-0001-8932-077X","contributorId":174623,"corporation":false,"usgs":true,"family":"Petrakis","given":"Roy","email":"rpetrakis@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":732009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":732010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":732014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hetzler, Robert","contributorId":203299,"corporation":false,"usgs":false,"family":"Hetzler","given":"Robert","email":"","affiliations":[{"id":36595,"text":"BIA","active":true,"usgs":false}],"preferred":false,"id":732011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Middleton, Barry R. 0000-0001-8924-4121 bmiddleton@usgs.gov","orcid":"https://orcid.org/0000-0001-8924-4121","contributorId":3947,"corporation":false,"usgs":true,"family":"Middleton","given":"Barry","email":"bmiddleton@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":732012,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":732013,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216337,"text":"70216337 - 2018 - Hierarchical modeling assessment of the influence of watershed stressors on fish and invertebrate species in Gulf of Mexico estuaries","interactions":[],"lastModifiedDate":"2020-11-12T15:39:40.108738","indexId":"70216337","displayToPublicDate":"2018-03-28T09:35:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical modeling assessment of the influence of watershed stressors on fish and invertebrate species in Gulf of Mexico estuaries","docAbstract":"The northern Gulf of Mexico (GoM) spans five U.S. states and encompasses estuaries that vary greatly in size, shape, upstream river input, eutrophication status, and biotic communities. Given the variability among these estuaries, assessing their biological condition relative to anthropogenic stressors is challenging, but important to regional fisheries management and habitat conservation initiatives. Here, a hierarchical generalized linear modeling approach was developed to predict species presence in bottom trawl samples, using data from 33 estuaries over a nineteen-year study period. This is the first GoM estuary assessment to leverage Gulf-wide trawl data to develop species-level indicators and a quantitative index of estuary disturbance. After controlling for sources of variability at the sampling event, estuary, state, and sampling program levels, our approach screened for statistically significant relationships between watershed-level anthropogenic stressors and fish and invertebrate species presence. Modeling results indicate species level indicators with sensitivities to landscape stressor gradients. The most influential stressors include total anthropogenic land use, crop land use, and the number of toxic release sites in upstream watersheds, as well as agriculture in the shoreline buffer, each of which was significantly related to between 21% and 39% of the 57 species studied. Averaging the effects of these influential stressors across species, we develop a quantitative estuary stress index that can be compared against benchmark conditions. In general, disturbance levels were greatest in estuaries west of the Mississippi delta and in highly developed estuaries in southwest Florida. Estuaries from the Florida panhandle to the eastern Mississippi delta had less anthropogenic stress.
The volcanic processes that have shaped the Long Valley Caldera in eastern California have also created an abundant supply of natural hot water. This natural resource provides benefits to many users, including power generation at the Casa Diablo Geothermal Plant, warm water for a state fish hatchery, and beautiful scenic areas such as Hot Creek gorge for visitors. However, some features can be dangerous because of sudden and unpredictable changes in the location and flow rate of boiling water. The U.S. Geological Survey monitors several aspects of the hydrothermal system in the Long Valley Caldera including temperature, flow rate, and water chemistry.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183009","collaboration":"Prepared in cooperation with the U.S. Forest Service","usgsCitation":"Evans, W.C., Hurwitz, S., Bergfeld, D., and Howle, J.F., 2018, Hot water in the Long Valley Caldera—The benefits and hazards of this large natural resource: U.S. Geological Survey Fact Sheet 2018–3009, 4 p., https://doi.org/10.3133/fs20183009.","productDescription":"4 p.","ipdsId":"IP-092280","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":352768,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3009/fs2018_3009.pdf","text":"Report","size":"4.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3009"},{"id":352767,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3009/cover_thb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.0694808959961,\n 37.591383348725785\n ],\n [\n -118.68667602539062,\n 37.591383348725785\n ],\n [\n -118.68667602539062,\n 37.765286825037926\n ],\n [\n -119.0694808959961,\n 37.765286825037926\n ],\n [\n -119.0694808959961,\n 37.591383348725785\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information
Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025
The Edwin B. Forsythe National Wildlife Refuge (hereafter Forsythe refuge or the refuge) is situated along the central New Jersey coast and provides a mixture of freshwater and saltwater habitats for numerous bird, wildlife, and plant species. Little data and information were previously available regarding the freshwater dynamics that support the refuge’s ecosystems. In cooperation with the U.S. Fish and Wildlife Service, the U.S. Geological Survey conducted an assessment of the hydrologic resources and processes in the refuge and surrounding areas to provide baseline information for evaluating restoration projects and future changes in the hydrologic system associated with climate change and other anthropogenic stressors.
During spring 2015, water levels were measured at groundwater and surface-water sites in and near the Forsythe refuge. These water-level measurements, along with surface-water elevations obtained from digital elevation models, were used to construct water-table-elevation and depth-to-water maps of the refuge and surrounding areas. Water-table elevations in the refuge ranged from sea level to approximately 65 feet above sea level; in most of the refuge, the water-table elevation was within 3 feet of sea level. The water-table-elevation map indicates that the direction of shallow groundwater flow at the regional scale is generally from west to east (much of it from the northwest to the southeast), and groundwater moves downgradient from the uplands toward major groundwater discharge areas consisting of coastal streams and wetlands. The depth to water is estimated to be less than 2 feet for approximately 86 percent of the refuge, which coincides closely with the percentage of wetland area in the refuge. Depth to water in excess of 20 feet below land surface is limited to higher elevation areas of the refuge.
Streamflow data collected at continuous-record streamgages and partial-record stations within the Mullica-Toms Basin were summarized. Hydrograph separation of streamflow data for eight streamgages (2004–13) reveals that base flow accounts for 68–94 percent of streamflow in basins upstream from the refuge. The high base-flow inputs underscore the importance of groundwater as a source of freshwater that supports both the streams that flow into the refuge and the hydroecology of the contributing basins. Mean annual flow typically ranged from 1.7 to 2.1 cubic feet per second per square mile at the streamgages (2004–13) and between 1.2 and 2.3 cubic feet per second per square mile at the partial-record stations (1965–2015) but was notably greater or lower than these ranges at several stations.
Mean annual water budgets were estimated for multiple regions of the refuge for 2004–13 using data compiled from nearby meteorological stations and groundwater flows derived from previously calibrated groundwater-flow models. Precipitation, groundwater recharge, and evapotranspiration were estimated from available data; direct runoff was calculated as the residual component of the water balance. Groundwater recharge rates were greatest in the upland-dominated areas of the refuge with estimates of 14.4 to 18.9 inches per year, which are equivalent to 30 to 40 percent of precipitation. Groundwater recharge rates were nearly zero in the central coastal areas because these areas are major groundwater discharge zones, the water table is near land surface, the subsurface is close to saturation and cannot accept much recharge, and much of the area is underlain by thick marsh deposits likely with low permeability. Estimates of evapotranspiration varied from about 26 inches per year in the upland-dominated areas to more than 35 inches per year in the coastal wetlands, equivalent to 55–79 percent of mean annual precipitation, indicating that it is a major component of the hydrodynamics of the Forsythe refuge.
On the basis of output from previously calibrated groundwater-flow models, nearly all of the groundwater exiting the surficial aquifer system in the central coastal areas of the refuge is discharged to wetlands, which highlights the importance of groundwater discharge in supporting the ecosystems of the Forsythe refuge. In the central coastal areas, horizontal flow contributes more than 90 percent of the groundwater flow to the surficial system, indicating that the upbasin areas are a substantial source of water that ultimately discharges to streams and wetlands in the refuge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175088","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Wieben, C.M., and Chepiga, M.M., 2018, Hydrologic assessment of the Edwin B. Forsythe National Wildlife Refuge, New Jersey: U.S. Geological Survey Scientific Investigations Report 2017–5088, 38 p., https://doi.org/10.3133/sir20175088.\n","productDescription":"Report: viii, 38 p.; 2 Plates: 24.0 x 36.0 inches; Data release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079840","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":352411,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5088/sir20175088.pdf","text":"Report","size":"25.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5088"},{"id":352410,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5088/coverthb.jpg"},{"id":352412,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78G8JMN","text":"USGS data release","description":"USGS data release","linkHelpText":"Water-table elevation contours and depth-to-water grid for the Edwin B. Forsythe National Wildlife Refuge, New Jersey, and vicinity, spring 2015"},{"id":352535,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5088/sir20175088_plate02.pdf","text":"Plate 2","size":"4.15 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Water-Table Elevation in and near the Southern Part of the Edwin B. Forsythe National Wildlife Refuge, New Jersey, Spring 2015"},{"id":352426,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/sir20175135","text":"Scientific Investigations Report 2017–5135","linkHelpText":"- Hydrogeology of, Simulation of Groundwater Flow in, and Potential Effects of Sea-Level Rise on the Kirkwood-Cohansey Aquifer System in the Vicinity of Edwin B. Forsythe National Wildlife Refuge, New Jersey"},{"id":352534,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5088/sir20175088_plate01.pdf","text":"Plate 1 ","size":"12.1 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Water-Table Elevation in and near the Northern Part of the Edwin B. Forsythe National Wildlife Refuge, New Jersey, Spring 2015"}],"country":"United States","state":"New Jersey","otherGeospatial":"Edwin B. Forsythe National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74,\n 39.4167\n ],\n [\n -74,\n 40.07807142745009\n ],\n [\n -74.5,\n 40.07807142745009\n ],\n [\n -74.5,\n 39.4167\n ],\n [\n -74,\n 39.4167\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
Fort Pulaski National Monument is located on Cockspur Island in Chatham County, Georgia, within the Atlantic Coastal Plain province. The island lies near the mouth of the Savannah River, and consists of small mounds (hummocks), salt marshes, and sediment dredged from the river. A 1,017-foot (ft) (310-meter [m])-deep core drilled at Cockspur Island in 2010 by the U.S. Geological Survey revealed several sedimentary units ranging in age from 43 million years old to present. Sand and mud are present at drilling depths from 0 to 182 ft (56 m), limestone is present at depths from 182 ft (56 m) to 965 ft (295 m), and glauconitic sand is present at depths from 965 ft (295 m) to 1,017 ft (310 m). The limestone and the water within the limestone are referred to collectively as the Floridan aquifer system, which is the primary source of drinking water for the City of Savannah and surrounding communities. In addition to details of the subsurface geology, this fact sheet identifies the following geologic materials used in the construction of Fort Pulaski: (1) granite, (2) bricks, (3) sandstone, and (4) lime mud with oyster shells.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183011","usgsCitation":"Swezey, C.S., Seefelt, E.L., and Parker, M., 2018, A brief geological history of Cockspur Island at Fort Pulaski National Monument, Chatham County, Georgia: U.S. Geological Survey Fact Sheet 2018‒3011, 4 p., https://doi.org/10.3133/fs20183011.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":" IP-082254","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":352324,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3011/fs20183011.pdf","text":"Report","size":"6.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3011"},{"id":352323,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3011/coverthb.jpg"}],"country":"United States","state":"Georgia","county":"Chatham County","otherGeospatial":"Fort Pulaski National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.92349052429198,\n 32.021321351629176\n ],\n [\n -80.87533950805664,\n 32.021321351629176\n ],\n [\n -80.87533950805664,\n 32.03696591411931\n ],\n [\n -80.92349052429198,\n 32.03696591411931\n ],\n [\n -80.92349052429198,\n 32.021321351629176\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Eastern Geology Paleoclimate Science Center
U.S. Geological Survey
Mail Stop 926A
12201 Sunrise Valley Drive
Reston, VA 20192
Excessive rainfall resulted in flooding on numerous rivers throughout the southern Midwestern United States (southern Midwest) in late April and early May of 2017. The heaviest rainfall, between April 28 and 30, resulted in extensive flooding from eastern Oklahoma to southern Indiana including parts of Missouri, Arkansas, and Illinois.
Peak-of-record streamflows were set at 21 U.S. Geological Survey (USGS) streamgages in the southern Midwest during the resulting April–May 2017 flooding and each of the five States included in the study area had at least one streamgage with a peak of record during the flood. The annual exceedance probability (AEP) estimates for the April–May 2017 peak streamflows indicate that peaks at 5 USGS streamgages had AEPs of 0.2 percent or less (500-year recurrence interval or greater), and peak streamflows at 15 USGS streamgages had AEPs in the range from greater than 0.2 to 1 percent (500- to 100-year recurrence intervals).
Examination of the magnitude of the temporal changes in median annual peak streamflows indicated positive increases, in general, throughout the study area for each of the 1930–2017, 1956–2017, 1975–2017, and 1989–2017 analysis periods. The median increase in peak streamflows was greatest in 1975–2017 and 1989–2017 with maximum increases of 8 to 10 percent per year. No stations in the 1975–2017 or 1989–2017 analysis period had median negative changes in peak streamflows.
","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181004","usgsCitation":"Heimann, D.C., Holmes, R.R., Jr., and Harris, T.E., 2018, Flooding in the southern Midwestern United States, April–May 2017: U.S. Geological Survey Open-File Report 2018–1004, 36 p., https://doi.org/10.3133/ofr20181004.","productDescription":"Report: v, 36 p.; 7 Films","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091177","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":352359,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2018/1004/downloads/Films/Film1.mp4","text":"Film 1—","size":"15.6 MB","description":"OFR 2018–1004 Film 1","linkHelpText":"April 28, 2017–May 10, 2017, Daily streamflow magnitude in study area compared to long-term median streamflows"},{"id":352364,"rank":8,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2018/1004/downloads/Films/Film6_NFK_MO_HWYPP.mp4","text":"Film 6—(film courtesy of Aerial Ozarks)","size":"172 MB","description":"OFR 2018–1004 Film 6","linkHelpText":"James Bridge on MO-PP, North Fork River, Ozark County, Mo."},{"id":352361,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2018/1004/downloads/Films/Film3_NFK_SpringCK.mp4","text":"Film 3—(film courtesy of Aerial Ozarks)","size":"159 MB","description":"OFR 2018–1004 Film 3","linkHelpText":"Twin Bridges in Douglas County, Mo., North Fork River and Spring Creek"},{"id":352363,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2018/1004/downloads/Films/Film5_BryantCK_Hwy181.mp4","text":"Film 5—(film courtesy of Aerial Ozarks)","size":"137 MB","description":"OFR 2018–1004 Film 5","linkHelpText":"Hodgson Mill on Hwy. 181, Bryant Creek, Ozark County, Mo."},{"id":352341,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1004/coverthb2.jpg"},{"id":352362,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2018/1004/downloads/Films/Film4_NFK_MO_HWY_CC(HammondMillBrdge).mp4","text":"Film 4—(film courtesy of Aerial Ozarks)","size":"126 MB","description":"OFR 2018–1004 Film 4","linkHelpText":"Hammond Mill Bridge on MO-CC, North Fork River, Ozark County, Mo."},{"id":352365,"rank":9,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2018/1004/downloads/Films/Film7_DryCK_MO_HwyAP.mp4","text":"Film 7—(film courtesy of Aerial Ozarks)","size":"70.0 MB","description":"OFR 2018–1004 Film 7","linkHelpText":"Dry Creek Bridge on MO-AP, Dry Creek, Howell County, Mo."},{"id":352342,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1004/ofr20181004.pdf","text":"Report","size":"8.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1004"},{"id":352394,"rank":10,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2018/1004/downloads/Films/Films.zip","text":"Films","size":"746 MB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2018–1004 Films"},{"id":352360,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2018/1004/downloads/Films/Film2_SpringCK_HwyAP.mp4","text":"Film 2—(film courtesy of Aerial Ozarks)","size":"75.4 MB","description":"OFR 2018–1004 Film 2","linkHelpText":"Spring Creek Bridge on MO-AP"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.20751953125,\n 33.706062655101206\n ],\n [\n -87.36328125,\n 33.706062655101206\n ],\n [\n -87.36328125,\n 39.38526381099774\n ],\n [\n -95.20751953125,\n 39.38526381099774\n ],\n [\n -95.20751953125,\n 33.706062655101206\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Missouri Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
How well seabirds compensate for variability in prey abundance and composition near their breeding colonies influences their distribution and reproductive success. We used tufted puffins (Fratercula cirrhata) as forage fish samplers to study marine food webs from the western Aleutian Islands (53°N, 173°E) to Kodiak Island (57°N, 153°W), Alaska, during August 2012–2014. Around each colony we obtained data on: environmental characteristics (sea surface temperature and salinity, seafloor depth and slope, tidal range, and chlorophyll-a), relative forage fish biomass (hydroacoustic backscatter), and seabird community composition and density at-sea. On colonies, we collected puffin chick-meals to characterize forage communities and determine meal energy density, and measured chicks to obtain a body condition index. There were distinct environmental gradients from west to east, and environmental variables differed by ecoregions: the (1) Western-Central Aleutians, (2) Eastern Aleutians, and, (3) Alaska Peninsula. Forage fish biomass, species richness, and community composition all differed markedly between ecoregions. Forage biomass was strongly correlated with environmental gradients, and environmental gradients and forage biomass accounted for ~ 50% of the variability in at-sea density of tufted puffins and all seabird taxa combined. Despite the local and regional variability in marine environments and forage, the mean biomass of prey delivered to puffin chicks did not differ significantly between ecoregions, nor did chick condition or puffin density at-sea. We conclude that puffins can adjust their foraging behavior to produce healthy chicks across a wide range of environmental conditions. This extraordinary flexibility enables their overall success and wide distribution across the North Pacific Ocean.
","language":"English","publisher":"Springer","doi":"10.1007/s00227-018-3304-4","usgsCitation":"Schoen, S.K., Piatt, J.F., Arimitsu, M.L., Heflin, B., Madison, E.N., Drew, G.S., Renner, M., Rojek, N.A., Douglas, D.C., and DeGange, A.R., 2018, Avian predator buffers against variability in marine habitats with flexible foraging behavior: Marine Biology, v. 165, p. 1-14, https://doi.org/10.1007/s00227-018-3304-4.","productDescription":"Article 47; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-090458","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":437987,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TQ60GV","text":"USGS data release","linkHelpText":"Marine ecology near Tufted Puffin colonies across the Aleutian Archipelago and Alaska Peninsula, 2012-2014"},{"id":352355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Aleutian Islands, Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -188.525390625,\n 50.84757295365389\n ],\n [\n -151.6552734375,\n 50.84757295365389\n ],\n [\n -151.6552734375,\n 57.657157596582984\n ],\n [\n -188.525390625,\n 57.657157596582984\n ],\n [\n -188.525390625,\n 50.84757295365389\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"165","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-15","publicationStatus":"PW","scienceBaseUri":"5afee701e4b0da30c1bfc050","contributors":{"authors":[{"text":"Schoen, Sarah K. 0000-0002-5685-5185 sschoen@usgs.gov","orcid":"https://orcid.org/0000-0002-5685-5185","contributorId":5136,"corporation":false,"usgs":true,"family":"Schoen","given":"Sarah","email":"sschoen@usgs.gov","middleInitial":"K.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":730651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":730652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":730653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heflin, Brielle 0000-0002-4836-9187 bheflin@usgs.gov","orcid":"https://orcid.org/0000-0002-4836-9187","contributorId":198164,"corporation":false,"usgs":true,"family":"Heflin","given":"Brielle","email":"bheflin@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":730654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Madison, Erica N. emadison@usgs.gov","contributorId":3409,"corporation":false,"usgs":true,"family":"Madison","given":"Erica","email":"emadison@usgs.gov","middleInitial":"N.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":730655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drew, Gary S. 0000-0002-6789-0891 gdrew@usgs.gov","orcid":"https://orcid.org/0000-0002-6789-0891","contributorId":3311,"corporation":false,"usgs":true,"family":"Drew","given":"Gary","email":"gdrew@usgs.gov","middleInitial":"S.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":730656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Renner, Martin","contributorId":198248,"corporation":false,"usgs":false,"family":"Renner","given":"Martin","email":"","affiliations":[],"preferred":false,"id":730657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rojek, Nora A.","contributorId":201046,"corporation":false,"usgs":false,"family":"Rojek","given":"Nora","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730658,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":730659,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DeGange, Anthony R. tdegange@usgs.gov","contributorId":203210,"corporation":false,"usgs":false,"family":"DeGange","given":"Anthony","email":"tdegange@usgs.gov","middleInitial":"R.","affiliations":[{"id":36582,"text":"Former USGS ASC employee","active":true,"usgs":false}],"preferred":false,"id":730660,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70195938,"text":"70195938 - 2018 - Bioremediation in fractured rock: 2. Mobilization of chloroethene compounds from the rock matrix","interactions":[],"lastModifiedDate":"2018-03-08T09:55:51","indexId":"70195938","displayToPublicDate":"2018-03-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Bioremediation in fractured rock: 2. Mobilization of chloroethene compounds from the rock matrix","docAbstract":"A mass balance is formulated to evaluate the mobilization of chlorinated ethene compounds (CE) from the rock matrix of a fractured mudstone aquifer under pre- and postbioremediation conditions. The analysis relies on a sparse number of monitoring locations and is constrained by a detailed description of the groundwater flow regime. Groundwater flow modeling developed under the site characterization identified groundwater fluxes to formulate the CE mass balance in the rock volume exposed to the injected remediation amendments. Differences in the CE fluxes into and out of the rock volume identify the total CE mobilized from diffusion, desorption, and nonaqueous phase liquid dissolution under pre- and postinjection conditions. The initial CE mass in the rock matrix prior to remediation is estimated using analyses of CE in rock core. The CE mass mobilized per year under preinjection conditions is small relative to the total CE mass in the rock, indicating that current pump-and-treat and natural attenuation conditions are likely to require hundreds of years to achieve groundwater concentrations that meet regulatory guidelines. The postinjection CE mobilization rate increased by approximately an order of magnitude over the 5 years of monitoring after the amendment injection. This rate is likely to decrease and additional remediation applications over several decades would still be needed to reduce CE mass in the rock matrix to levels where groundwater concentrations in fractures achieve regulatory standards.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12586","usgsCitation":"Shapiro, A.M., Tiedeman, C.R., Imbrigiotta, T.E., Goode, D.J., Hsieh, P.A., Lacombe, P., DeFlaun, M.F., Drew, S.R., and Curtis, G.P., 2018, Bioremediation in fractured rock: 2. Mobilization of chloroethene compounds from the rock matrix: Groundwater, v. 56, no. 2, p. 317-336, https://doi.org/10.1111/gwat.12586.","productDescription":"20 p.","startPage":"317","endPage":"336","ipdsId":"IP-088890","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":352329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","city":"West Trenton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.81480240821838,\n 40.26764815781309\n ],\n [\n -74.8107898235321,\n 40.26764815781309\n ],\n [\n -74.8107898235321,\n 40.27047242769165\n ],\n [\n -74.81480240821838,\n 40.27047242769165\n ],\n [\n -74.81480240821838,\n 40.26764815781309\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-05","publicationStatus":"PW","scienceBaseUri":"5afee701e4b0da30c1bfc05a","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":730558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":730559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Imbrigiotta, Thomas E. 0000-0003-1716-4768 timbrig@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":152114,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas","email":"timbrig@usgs.gov","middleInitial":"E.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":193394,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel","email":"djgoode@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":730561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":730562,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lacombe, Pierre 0000-0002-9596-7622 placombe@usgs.gov","orcid":"https://orcid.org/0000-0002-9596-7622","contributorId":152113,"corporation":false,"usgs":true,"family":"Lacombe","given":"Pierre","email":"placombe@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730563,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeFlaun, Mary F.","contributorId":203177,"corporation":false,"usgs":false,"family":"DeFlaun","given":"Mary","email":"","middleInitial":"F.","affiliations":[{"id":36571,"text":"Geosyntec Consultants","active":true,"usgs":false}],"preferred":false,"id":730564,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Drew, Scott R.","contributorId":203178,"corporation":false,"usgs":false,"family":"Drew","given":"Scott","email":"","middleInitial":"R.","affiliations":[{"id":36571,"text":"Geosyntec Consultants","active":true,"usgs":false}],"preferred":false,"id":730565,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Curtis, Gary P. 0000-0003-3975-8882 gpcurtis@usgs.gov","orcid":"https://orcid.org/0000-0003-3975-8882","contributorId":2346,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","middleInitial":"P.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":730566,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70195883,"text":"70195883 - 2018 - Changes in freshwater mussel communities linked to legacy pollution in the Lower Delaware River","interactions":[],"lastModifiedDate":"2018-03-07T15:03:47","indexId":"70195883","displayToPublicDate":"2018-03-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Changes in freshwater mussel communities linked to legacy pollution in the Lower Delaware River","docAbstract":"Freshwater mussels are among the most-imperiled organisms worldwide, although they provide a variety of important functions in the streams and rivers they inhabit. Among Atlantic-slope rivers, the Delaware River is known for its freshwater mussel diversity and biomass; however, limited data are available on the freshwater mussel fauna in the lower, non-tidal portion of the river. This section of the Delaware River has experienced decades of water-quality degradation from both industrial and municipal sources, primarily as a function of one of its major tributaries, the Lehigh River. We completed semi-quantitative snorkel surveys in 53.5 of the 121 km of the river to document mussel community composition and the continued impacts from pollution (particularly inputs from the Lehigh River) on mussel fauna. We detected changes in mussel catch per unit effort (CPUE) below the confluence of the Lehigh River, with significant declines in the dominant species Elliptio complanata (Eastern Elliptio) as we moved downstream from its confluence—CPUE dropped from 179 to 21 mussels/h. Patterns in mussel distribution around the Lehigh confluence matched chemical signatures of Lehigh water input. Specifically, Eastern Elliptio CPUE declined more quickly moving downstream on the Pennsylvania bank, where Lehigh River water input was more concentrated compared to the New Jersey bank. A definitive causal link remains to be established between the Lehigh River and the dramatic shifts in mussel community composition, warranting continued investigation as it relates to mussel conservation and restoration in the basin.
","language":"English","publisher":"Eagle Hill Publications","doi":"10.1656/045.025.0106","usgsCitation":"Blakeslee, C.J., Silldorff, E.L., and Galbraith, H.S., 2018, Changes in freshwater mussel communities linked to legacy pollution in the Lower Delaware River: Northeastern Naturalist, v. 25, no. 1, p. 101-116, https://doi.org/10.1656/045.025.0106.","productDescription":"16 p.","startPage":"101","endPage":"116","ipdsId":"IP-073172","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":352300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Delaware River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.25909423828125,\n 40.18097176388719\n ],\n [\n -74.7344970703125,\n 40.18097176388719\n ],\n [\n -74.7344970703125,\n 40.99855696412671\n ],\n [\n -75.25909423828125,\n 40.99855696412671\n ],\n [\n -75.25909423828125,\n 40.18097176388719\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee70ce4b0da30c1bfc06f","contributors":{"authors":[{"text":"Blakeslee, Carrie J. 0000-0002-0801-5325 cblakeslee@usgs.gov","orcid":"https://orcid.org/0000-0002-0801-5325","contributorId":5462,"corporation":false,"usgs":true,"family":"Blakeslee","given":"Carrie","email":"cblakeslee@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":730391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silldorff, Erik L.","contributorId":203041,"corporation":false,"usgs":false,"family":"Silldorff","given":"Erik","email":"","middleInitial":"L.","affiliations":[{"id":36569,"text":"Delaware River Basin Commission","active":true,"usgs":false}],"preferred":false,"id":730392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":730393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201617,"text":"70201617 - 2018 - Carbon budget of tidal wetlands, estuaries, and shelf waters of eastern North America","interactions":[],"lastModifiedDate":"2018-12-18T15:53:14","indexId":"70201617","displayToPublicDate":"2018-03-01T15:53:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Carbon budget of tidal wetlands, estuaries, and shelf waters of eastern North America","docAbstract":"Carbon cycling in the coastal zone affects global carbon budgets and is critical for understanding the urgent issues of hypoxia, acidification, and tidal wetland loss. However, there are no regional carbon budgets spanning the three main ecosystems in coastal waters: tidal wetlands, estuaries, and shelf waters. Here we construct such a budget for eastern North America using historical data, empirical models, remote sensing algorithms, and process‐based models. Considering the net fluxes of total carbon at the domain boundaries, 59 ± 12% (± 2 standard errors) of the carbon entering is from rivers and 41 ± 12% is from the atmosphere, while 80 ± 9% of the carbon leaving is exported to the open ocean and 20 ± 9% is buried. Net lateral carbon transfers between the three main ecosystem types are comparable to fluxes at the domain boundaries. Each ecosystem type contributes substantially to exchange with the atmosphere, with CO2uptake split evenly between tidal wetlands and shelf waters, and estuarine CO2outgassing offsetting half of the uptake. Similarly, burial is about equal in tidal wetlands and shelf waters, while estuaries play a smaller but still substantial role. The importance of tidal wetlands and estuaries in the overall budget is remarkable given that they, respectively, make up only 2.4 and 8.9% of the study domain area. This study shows that coastal carbon budgets should explicitly include tidal wetlands, estuaries, shelf waters, and the linkages between them; ignoring any of them may produce a biased picture of coastal carbon cycling.
","language":"English","publisher":"AGU","doi":"10.1002/2017GB005790","usgsCitation":"Najjar, R., Herrmann, M., Alexander, R.B., Boyer, E., Burdige, D., Butman, D., Cai, W., Canuel, E., Chen, R., Friedrichs, M.A., Feagin, R., Griffith, P.C., Hinson, A., Holmquist, J., Hu, X., Kemp, W., Kroeger, K.D., Mannino, A., McCallister, S., McGillis, W., Mulholland, M., Pilskaln, C.H., Salisbury, J., Signorini, S., St. Laurent, P., Tian, H., Tzortziou, M., Vlahos, P., Wan, Z., and Zimmerman, R.C., 2018, Carbon budget of tidal wetlands, estuaries, and shelf waters of eastern North America: Global Biogeochemical Cycles, v. 32, no. 3, p. 389-416, https://doi.org/10.1002/2017GB005790.","productDescription":"28 p.","startPage":"389","endPage":"416","ipdsId":"IP-092980","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468939,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017gb005790","text":"External Repository"},{"id":360518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"32","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-11","publicationStatus":"PW","scienceBaseUri":"5c1a1534e4b0708288c23542","contributors":{"authors":[{"text":"Najjar, R.G.","contributorId":211647,"corporation":false,"usgs":false,"family":"Najjar","given":"R.G.","affiliations":[{"id":38295,"text":"Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, USA.","active":true,"usgs":false}],"preferred":false,"id":754585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrmann, M.","contributorId":211648,"corporation":false,"usgs":false,"family":"Herrmann","given":"M.","email":"","affiliations":[{"id":38295,"text":"Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, USA.","active":true,"usgs":false}],"preferred":false,"id":754586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":754587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, E.W.","contributorId":56358,"corporation":false,"usgs":false,"family":"Boyer","given":"E.W.","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":754588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burdige, D. J.","contributorId":211649,"corporation":false,"usgs":true,"family":"Burdige","given":"D. J.","affiliations":[{"id":38296,"text":"Department of Ocean, Earth, and Atmospheric Sciences, Old Dominion University, Norfolk, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":754589,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butman, D.","contributorId":211650,"corporation":false,"usgs":false,"family":"Butman","given":"D.","email":"","affiliations":[{"id":38297,"text":"Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, USA","active":true,"usgs":false}],"preferred":false,"id":754590,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cai, W.-J.","contributorId":211651,"corporation":false,"usgs":false,"family":"Cai","given":"W.-J.","affiliations":[{"id":38298,"text":"College of Earth, Ocean, and the Environment, University of Delaware, Newark, Delaware, USA","active":true,"usgs":false}],"preferred":false,"id":754591,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Canuel, E.A.","contributorId":211652,"corporation":false,"usgs":false,"family":"Canuel","given":"E.A.","email":"","affiliations":[{"id":38299,"text":"Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":754592,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, R.F.","contributorId":211653,"corporation":false,"usgs":false,"family":"Chen","given":"R.F.","email":"","affiliations":[{"id":38300,"text":"School for the Environment, University of Massachusetts Boston, Boston, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":754593,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Friedrichs, M. A. M.","contributorId":211654,"corporation":false,"usgs":false,"family":"Friedrichs","given":"M.","email":"","middleInitial":"A. M.","affiliations":[{"id":38299,"text":"Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":754594,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Feagin, R.A.","contributorId":211655,"corporation":false,"usgs":false,"family":"Feagin","given":"R.A.","email":"","affiliations":[{"id":38301,"text":"Department of Ecosystem Science and Management, Texas A&M University, College Station, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":754595,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Griffith, P. C.","contributorId":211656,"corporation":false,"usgs":false,"family":"Griffith","given":"P.","email":"","middleInitial":"C.","affiliations":[{"id":38302,"text":"Carbon Cycle and Ecosystems Office, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":754596,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hinson, A.L.","contributorId":211657,"corporation":false,"usgs":false,"family":"Hinson","given":"A.L.","email":"","affiliations":[{"id":38301,"text":"Department of Ecosystem Science and Management, Texas A&M University, College Station, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":754597,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Holmquist, J.R.","contributorId":173296,"corporation":false,"usgs":false,"family":"Holmquist","given":"J.R.","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":754598,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hu, X.","contributorId":211683,"corporation":false,"usgs":false,"family":"Hu","given":"X.","email":"","affiliations":[],"preferred":false,"id":754599,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kemp, W.M.","contributorId":211658,"corporation":false,"usgs":false,"family":"Kemp","given":"W.M.","email":"","affiliations":[{"id":35269,"text":"Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":754600,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":754584,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Mannino, A.","contributorId":211659,"corporation":false,"usgs":false,"family":"Mannino","given":"A.","affiliations":[{"id":38303,"text":"Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":754601,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"McCallister, S.L.","contributorId":211660,"corporation":false,"usgs":false,"family":"McCallister","given":"S.L.","email":"","affiliations":[{"id":38304,"text":"Department of Biology, Virginia Commonwealth University, Richmond, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":754602,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"McGillis, W.R.","contributorId":211661,"corporation":false,"usgs":false,"family":"McGillis","given":"W.R.","email":"","affiliations":[{"id":38305,"text":"Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA","active":true,"usgs":false}],"preferred":false,"id":754603,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Mulholland, M.R.","contributorId":211662,"corporation":false,"usgs":false,"family":"Mulholland","given":"M.R.","email":"","affiliations":[{"id":38306,"text":"Department of Ocean, Earth, and Atmospheric Sciences, Old Dominion University, Norfolk, Virginia, US","active":true,"usgs":false}],"preferred":false,"id":754604,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Pilskaln, C. H.","contributorId":211663,"corporation":false,"usgs":false,"family":"Pilskaln","given":"C.","email":"","middleInitial":"H.","affiliations":[{"id":38307,"text":"Department of Estuarine and Ocean Sciences, School for Marine Science and Technology, University of Massachusetts Dartmouth, New Bedford, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":754605,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Salisbury, J.","contributorId":194686,"corporation":false,"usgs":false,"family":"Salisbury","given":"J.","affiliations":[],"preferred":false,"id":754606,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Signorini, S. R.","contributorId":211664,"corporation":false,"usgs":false,"family":"Signorini","given":"S. R.","affiliations":[{"id":38303,"text":"Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":754607,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"St. Laurent, P.","contributorId":211665,"corporation":false,"usgs":false,"family":"St. Laurent","given":"P.","email":"","affiliations":[{"id":38299,"text":"Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":754608,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Tian, H.","contributorId":211666,"corporation":false,"usgs":false,"family":"Tian","given":"H.","email":"","affiliations":[{"id":38308,"text":"School of Forestry and Wildlife, Auburn University, Auburn, Alabama, USA","active":true,"usgs":false}],"preferred":false,"id":754609,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Tzortziou, M","contributorId":211667,"corporation":false,"usgs":false,"family":"Tzortziou","given":"M","affiliations":[{"id":38309,"text":"Department of Earth and Atmospheric Science, The City College of New York, New York, New York, USA","active":true,"usgs":false}],"preferred":false,"id":754610,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Vlahos, P.","contributorId":206825,"corporation":false,"usgs":false,"family":"Vlahos","given":"P.","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":754611,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Wan, Zhanming","contributorId":211684,"corporation":false,"usgs":false,"family":"Wan","given":"Zhanming","email":"","affiliations":[],"preferred":false,"id":754612,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Zimmerman, R. C.","contributorId":211685,"corporation":false,"usgs":false,"family":"Zimmerman","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":754613,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}} ,{"id":70195038,"text":"ofr20181009 - 2018 - Freshwater mussel salvage and relocation at the Pond Eddy Bridge, Delaware River, New York and Pennsylvania","interactions":[],"lastModifiedDate":"2024-03-04T19:06:03.254998","indexId":"ofr20181009","displayToPublicDate":"2018-03-01T12:15:00","publicationYear":"2018","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":"2018-1009","title":"Freshwater mussel salvage and relocation at the Pond Eddy Bridge, Delaware River, New York and Pennsylvania","docAbstract":"In a study conducted by the U.S. Geological Survey, in cooperation with the Pennsylvania Department of Transportation, freshwater mussels were salvaged and relocated from the anticipated zone of impact for the Pond Eddy Bridge construction project in New York and Pennsylvania. Five 25-meter (m) by 25-m cells along the Pennsylvania bank of the Delaware River were sampled in three generally straight-line passes by four surveyors wearing snorkel gear for a total of 180 survey minutes per cell. All mussels encountered were collected and identified to species. A subset of individuals was marked with shellfish tags, weighed, and measured prior to relocation upstream from the zone of impact. A total of 3,434 mussels, including 3,393 Elliptio complanata (eastern elliptio mussels), 39 Anodonta implicata (alewife floaters), 1 Strophitus undulatus (creeper), and 1 Pyganodon cataracta (eastern floater), were salvaged and relocated. All non-eastern elliptio species were georeferenced using a high-resolution global positioning system unit; a subset of tagged eastern elliptio was placed in transects between georeferenced points. These mussels will be monitored to assess the effects of translocation on mortality and body condition at 1 month, 1 year, and 2 years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181009","collaboration":"Prepared in cooperation with the Pennsylvania Department of Transportation","usgsCitation":"Galbraith, H.S., Blakeslee, C.J., and Cole, J.C., 2018, Freshwater mussel salvage and relocation at the Pond Eddy Bridge, Delaware River, New York and Pennsylvania: U.S. Geological Survey Open-File Report 2018–1009, 5 p., https://doi.org/10.3133/ofr20181009.","productDescription":"iii, 5 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-078737","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":352158,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1009/ofr20181009.pdf","text":"Report","size":"1.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1009"},{"id":352157,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1009/coverthb2.jpg"}],"country":"United States","state":"New York, Pennsylvania","otherGeospatial":"Delaware River, Pond Eddy Bridge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.8264217376709,\n 41.43381464755217\n ],\n [\n -74.81114387512207,\n 41.43381464755217\n ],\n [\n -74.81114387512207,\n 41.44513909047355\n ],\n [\n -74.8264217376709,\n 41.44513909047355\n ],\n [\n -74.8264217376709,\n 41.43381464755217\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Road
Kearneysville, WV 25430
The U.S. Geological Survey tested the utility of imaging spectroscopy (also referred to as hyperspectral remote sensing) as an aid to regional mineral exploration efforts in remote parts of Alaska. Airborne imaging spectrometer data were collected in 2014 over unmined porphyry Cu deposits in the eastern Alaska Range using the HyMap™ sensor. Maps of the distributions of predominant minerals, made by matching reflectance signatures in the remotely sensed data to reference spectra in the shortwave infrared region, do not uniquely discriminate individual rock units. However, they do highlight hydrothermal alteration associated with porphyry deposits and prospects hosted mostly within the Nabesna pluton. In and around porphyry Cu deposits at Orange Hill and Bond Creek, unique spectral signatures are related to variations in chlorite and white mica abundance and their chemical composition. This is best revealed in the longer-wavelength 2,200-nm Al-OH absorption feature positions in pixels spectrally dominated by white mica proximal to porphyry deposits. Similar spectral signatures of chlorite and white mica wavelength positions were also recognized away from the porphyry deposits; follow-up sampling identified these satellite areas to also contain Cu-Mo-Au mineralized rock. Our study confirms that airborne imaging spectroscopy has application for regional mineral exploration in exposed mountainous terrain in Alaska.
This study explores the relationship between municipal water use and an array of climate, economic, behavioral, and policy variables across the contiguous U.S. The relationship is explored using Bayesian‐hierarchical regression models for over 2,500 counties, 18 covariates, and three higher‐level grouping variables. Additionally, a second analysis is included for 83 cities where water price and water conservation policy information is available. A hierarchical model using the nine climate regions (product of National Oceanic and Atmospheric Administration) as the higher‐level groups results in the best out‐of‐sample performance, as estimated by the Widely Available Information Criterion, compared to counties grouped by urban continuum classification or primary economic activity. The regression coefficients indicate that the controls on water use are not uniform across the nation: e.g., counties in the Northeast and Northwest climate regions are more sensitive to social variables, whereas counties in the Southwest and East North Central climate regions are more sensitive to environmental variables. For the national city‐level model, it appears that arid cities with a high cost of living and relatively low water bills sell more water per customer, but as with the county‐level model, the effect of each variable depends heavily on where a city is located.
","language":"English","publisher":"AGU","doi":"10.1002/2017WR021268","usgsCitation":"Worland, S.C., Steinschneider, S., and Hornberger, G.M., 2018, Drivers of variability in public‐supply water use across the contiguous United States: Water Resources Research, v. 54, no. 3, p. 1868-1889, https://doi.org/10.1002/2017WR021268.","productDescription":"22 p.","startPage":"1868","endPage":"1889","ipdsId":"IP-087770","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":488785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr021268","text":"Publisher Index Page"},{"id":355717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"54","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-15","publicationStatus":"PW","scienceBaseUri":"5b6fc483e4b0f5d57878ea9c","contributors":{"authors":[{"text":"Worland, Scott C. 0000-0001-6384-2457 scworland@usgs.gov","orcid":"https://orcid.org/0000-0001-6384-2457","contributorId":5802,"corporation":false,"usgs":true,"family":"Worland","given":"Scott","email":"scworland@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steinschneider, Scott 0000-0002-8882-1908","orcid":"https://orcid.org/0000-0002-8882-1908","contributorId":206359,"corporation":false,"usgs":false,"family":"Steinschneider","given":"Scott","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":740160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hornberger, George M.","contributorId":206360,"corporation":false,"usgs":false,"family":"Hornberger","given":"George","email":"","middleInitial":"M.","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":740161,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196176,"text":"70196176 - 2018 - Fire and climate suitability for woody vegetation communities in the south central United States","interactions":[],"lastModifiedDate":"2019-10-28T09:26:31","indexId":"70196176","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fire and climate suitability for woody vegetation communities in the south central United States","docAbstract":"Climate and fire are primary drivers of plant species distributions. Long-term management of south central United States woody vegetation communities can benefit from information on potential changes in climate and fire frequencies, and how these changes might affect plant communities. We used historical (1900 to 1929) and future (2040 to 2069 and 2070 to 2099) projected climate data for the conterminous US to estimate reference and future fire probabilities\nusing a physical chemistry fire frequency model. We then used the fire probability data with additional climate parameters to construct maximum entropy environmental suitability models for three south central US vegetation communities. The modeled communities included an oak type (dominated by post oak, Quercus stellata Wangenh., and blackjack oak, Q. marilandica Münchh.), a mesquite type (dominated by honey mesquite, Prosopis glandulosa Torr., and velvet mesquite, P. velutina Wooton), and a pinyon−juniper type (dominated by pinyon pine, Pinus edulis Engelm., and Utah juniper, Juniperus osteosperma [Torr.] Little). We mapped baseline and future mean fire-climate suitability using data from three global climate models for 2040 to 2069 and 2070 to 2099; we also mapped future locations of threshold conditions for which all three models agreed on suitability for each community. Future projections included northward, southward, and eastward shifts in suitable conditions for the oaks along a broad path of fire-climate stability; an overall reduction in suitable area for historic mesquite communities coupled with potential expansion to new areas; and constriction and isolation of suitable conditions for pinyon−juniper communities. The inclusion of fire probability adds an important driver of vegetation distribution to climate envelope modeling. The simple models showed good fit, but future projections failed to account for future management activities or land use changes. Results provided information on potential future de-coupling and spatial re-arrangement of environmental conditions under which these communities have historically persisted and been managed. In particular, consensus threshold maps can inform long-term planning for maintenance or restoration of these communities, and they can be used as a potential tool for other communities in fire-prone environments within the study area and beyond its borders.","language":"English","publisher":"Springer","doi":"10.4996/fireecology.140110612","usgsCitation":"Stroh, E., Struckhoff, M., Stambaugh, M.C., and Guyette, R.P., 2018, Fire and climate suitability for woody vegetation communities in the south central United States: Fire Ecology, v. 14, no. 1, p. 106-124, https://doi.org/10.4996/fireecology.140110612.","productDescription":"19 p.","startPage":"106","endPage":"124","ipdsId":"IP-088298","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.140110612","text":"Publisher Index Page"},{"id":352785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-01","publicationStatus":"PW","scienceBaseUri":"5afee711e4b0da30c1bfc0bc","contributors":{"authors":[{"text":"Stroh, Esther 0000-0003-4291-4647","orcid":"https://orcid.org/0000-0003-4291-4647","contributorId":202825,"corporation":false,"usgs":true,"family":"Stroh","given":"Esther","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Struckhoff, Matthew 0000-0002-4911-9956","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":201512,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stambaugh, Michael C.","contributorId":202826,"corporation":false,"usgs":false,"family":"Stambaugh","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":13706,"text":"University of Missouri-Columbia","active":true,"usgs":false}],"preferred":false,"id":731539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guyette, Richard P.","contributorId":176595,"corporation":false,"usgs":false,"family":"Guyette","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":731540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195674,"text":"70195674 - 2018 - Surrounding land cover types as predictors of palustrine wetland vegetation quality in conterminous USA","interactions":[],"lastModifiedDate":"2018-02-27T09:51:12","indexId":"70195674","displayToPublicDate":"2018-02-27T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Surrounding land cover types as predictors of palustrine wetland vegetation quality in conterminous USA","docAbstract":"The loss of wetland habitats and their often-unique biological communities is a major environmental concern. We examined vegetation data obtained from 380 wetlands sampled in a statistical survey of wetlands in the USA. Our goal was to identify which surrounding land cover types best predict two indices of vegetation quality in wetlands at the regional scale. We considered palustrine wetlands in four regions (Coastal Plains, North Central East, Interior Plains, and West) in which the dominant vegetation was emergent, forested, or scrub-shrub. For each wetland, we calculated weighted proportions of eight land cover types surrounding the area in which vegetation was assessed, in four zones radiating from the edge of the assessment area to 2 km. Using Akaike's Information Criterion, we determined the best 1-, 2- and 3-predictor models of the two indices, using the weighted proportions of the land cover types as potential predictors. Mean values of the two indices were generally higher in the North Central East and Coastal Plains than the other regions for forested and emergent wetlands. In nearly all cases, the best predictors of the indices were not the dominant surrounding land cover types. Overall, proportions of forest (positive effect) and agriculture (negative effect) surrounding the assessment area were the best predictors of the two indices. One or both of these variables were included as predictors in 65 of the 72 models supported by the data. Wetlands surrounding the assessment area had a positive effect on the indices, and ranked third (33%) among the predictors included in supported models. Development had a negative effect on the indices and was included in only 28% of supported models. These results can be used to develop regional management plans for wetlands, such as creating forest buffers around wetlands, or to conserve zones between wetlands to increase habitat connectivity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.11.107","usgsCitation":"Stapanian, M.A., Gara, B., and Schumacher, W., 2018, Surrounding land cover types as predictors of palustrine wetland vegetation quality in conterminous USA: Science of the Total Environment, v. 619-620, p. 366-375, https://doi.org/10.1016/j.scitotenv.2017.11.107.","productDescription":"10 p.","startPage":"366","endPage":"375","ipdsId":"IP-088234","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.867044,36.550754],[-75.536428,35.780118],[-75.723662,36.003139],[-75.85147,36.415785],[-76.019261,36.503506],[-75.793974,36.07171],[-75.922344,36.244122],[-75.904999,36.164188],[-76.184702,36.298166],[-76.064224,36.143775],[-76.447812,36.192514],[-76.298733,36.1012],[-76.514335,36.00564],[-76.676484,36.043612],[-76.693253,36.278357],[-76.7521,36.147328],[-76.667547,35.933509],[-76.024162,35.970891],[-76.04015,35.65131],[-75.947293,35.959835],[-75.80935,35.959308],[-75.71294,35.69849],[-75.775328,35.579335],[-75.895045,35.573152],[-76.149655,35.326411],[-76.485762,35.371375],[-76.586349,35.508957],[-76.471207,35.55742],[-76.634468,35.510332],[-76.580187,35.387113],[-77.023912,35.514802],[-76.467776,35.276951],[-76.60042,35.067867],[-76.801426,34.964369],[-76.982904,35.060607],[-76.762931,34.920374],[-76.463468,35.076411],[-76.395625,34.975179],[-76.288354,35.005726],[-76.524712,34.681964],[-76.604796,34.787482],[-76.673619,34.71491],[-76.523303,34.652271],[-76.038648,35.065045],[-76.535946,34.588577],[-76.726969,34.69669],[-77.169701,34.622023],[-77.740136,34.272546],[-77.970606,33.844517],[-78.276147,33.912364],[-78.772737,33.768511],[-79.084588,33.483669],[-79.18787,33.173712],[-79.359961,33.006672],[-79.55756,33.021269],[-79.576006,32.906235],[-79.999374,32.611851],[-80.472068,32.496964],[-80.455192,32.326458],[-80.858735,32.099581],[-80.862814,31.969346],[-81.203572,31.719448],[-81.133493,31.623348],[-81.260076,31.54828],[-81.177254,31.517074],[-81.288403,31.211065],[-81.493651,30.977528],[-81.403409,30.957914],[-81.447087,30.503679],[-81.163581,29.55529],[-80.525094,28.459454],[-80.606874,28.336484],[-80.566432,28.09563],[-80.031362,26.796339],[-80.127987,25.772245],[-80.154972,25.66549],[-80.197674,25.74437],[-80.296719,25.622195],[-80.31036,25.3731],[-80.418872,25.235532],[-81.079859,25.118797],[-81.352731,25.822015],[-81.527665,25.901531],[-81.68954,25.85271],[-81.868983,26.378648],[-82.105672,26.48393],[-82.181565,26.681712],[-82.093023,26.665614],[-82.063126,26.950214],[-82.175241,26.916867],[-82.147068,26.789803],[-82.259867,26.717398],[-82.745748,27.538834],[-82.65072,27.523115],[-82.393383,27.837519],[-82.478063,27.92768],[-82.47244,27.822559],[-82.553946,27.848462],[-82.553918,27.966998],[-82.678606,27.993715],[-82.720395,27.937199],[-82.566819,27.858002],[-82.733076,27.612972],[-82.846526,27.854301],[-82.654138,28.590837],[-82.804736,29.146624],[-83.053207,29.130839],[-83.686423,29.923735],[-84.000716,30.096209],[-84.256439,30.103791],[-84.358923,30.058224],[-84.349066,29.896812],[-85.344768,29.654793],[-85.413575,29.85294],[-85.353885,29.684765],[-85.302591,29.808094],[-85.405052,29.938487],[-86.2987,30.363049],[-86.750906,30.391881],[-88.028401,30.221132],[-87.755263,30.277292],[-88.008396,30.684956],[-88.136173,30.320729],[-88.841328,30.409598],[-89.291444,30.303296],[-89.335942,30.374016],[-89.461275,30.174745],[-89.857558,30.004439],[-89.660568,29.862909],[-89.481926,30.079128],[-89.372375,30.054729],[-89.433411,29.991205],[-89.368019,29.911491],[-89.218071,29.97275],[-89.322289,29.887333],[-89.236298,29.877081],[-89.383789,29.838928],[-89.271034,29.756355],[-89.651237,29.749479],[-89.485367,29.624357],[-89.688141,29.615055],[-89.700501,29.515967],[-89.508551,29.386168],[-89.189354,29.345061],[-89.000674,29.180091],[-89.41148,28.925011],[-89.354798,29.072543],[-89.482844,29.215053],[-89.850305,29.311768],[-89.849642,29.477996],[-90.01251,29.462775],[-90.009678,29.294785],[-90.096038,29.240673],[-89.949925,29.263154],[-90.174273,29.105301],[-90.348768,29.057817],[-90.234235,29.110268],[-90.271251,29.204639],[-90.332796,29.276956],[-90.472489,29.192688],[-90.510555,29.290925],[-90.803699,29.063709],[-90.637495,29.066608],[-90.839345,29.039167],[-90.961278,29.180817],[-91.278792,29.247776],[-91.33275,29.305816],[-91.221166,29.436421],[-91.531021,29.531543],[-91.553537,29.632766],[-91.648941,29.633635],[-91.632829,29.742576],[-91.88075,29.710839],[-91.889118,29.836023],[-92.149349,29.697052],[-91.712002,29.56474],[-91.782387,29.482882],[-92.046316,29.584362],[-92.61627,29.578729],[-93.267456,29.778113],[-94.056506,29.671163],[-94.778691,29.361483],[-94.495025,29.525031],[-94.779674,29.530533],[-94.735271,29.785433],[-94.893107,29.661336],[-94.965963,29.70033],[-95.018253,29.554885],[-94.909898,29.49691],[-94.893994,29.30817],[-95.16525,29.113566],[-94.72253,29.331446],[-95.38239,28.866348],[-96.378616,28.383909],[-95.978526,28.650594],[-96.228909,28.580873],[-96.222802,28.698431],[-96.487943,28.569677],[-96.648758,28.709627],[-96.403973,28.44245],[-96.672677,28.335579],[-96.775985,28.405809],[-96.800413,28.224128],[-96.934765,28.123873],[-97.037008,28.185528],[-97.214039,28.087494],[-97.022806,28.107588],[-97.186709,27.825453],[-97.379042,27.837867],[-97.253955,27.696696],[-97.401942,27.335574],[-97.532223,27.278577],[-97.501688,27.366618],[-97.639094,27.253131],[-97.42408,27.264073],[-97.563266,26.842188],[-97.295072,26.108342],[-97.216954,25.993838],[-97.152009,26.062108],[-97.145567,25.971132],[-97.422636,25.840378],[-97.649176,26.021499],[-98.197046,26.056153],[-98.807348,26.369421],[-99.085126,26.398782],[-99.268613,26.843213],[-99.446524,27.023008],[-99.512219,27.568094],[-99.841708,27.766464],[-99.931812,27.980967],[-100.293468,28.278475],[-100.333814,28.499252],[-100.797671,29.246943],[-101.254895,29.520342],[-101.415402,29.756561],[-102.315389,29.87992],[-102.386678,29.76688],[-102.670971,29.741954],[-102.866846,29.225015],[-103.115328,28.98527],[-103.28119,28.982138],[-104.507568,29.639624],[-104.924796,30.604832],[-106.207837,31.468188],[-106.451541,31.764808],[-108.208394,31.783599],[-108.208573,31.333395],[-111.074825,31.332239],[-114.813613,32.494277],[-114.719633,32.718763],[-117.124862,32.534156],[-117.469794,33.296417],[-118.132698,33.753217],[-118.411211,33.741985],[-118.519514,34.027509],[-119.130169,34.100102],[-119.559459,34.413395],[-120.471376,34.447846],[-120.637805,34.56622],[-120.644311,35.139616],[-120.856047,35.206487],[-120.884757,35.430196],[-121.284973,35.674109],[-121.503112,36.000299],[-121.888491,36.30281],[-121.978592,36.580488],[-121.814462,36.682858],[-121.862266,36.931552],[-122.105976,36.955951],[-122.405073,37.195791],[-122.514483,37.780829],[-122.398139,37.80563],[-122.378545,37.605592],[-122.111344,37.50758],[-122.430087,37.963115],[-122.273006,38.07438],[-122.489974,38.112014],[-122.438268,37.880974],[-122.505383,37.822128],[-122.882114,38.025273],[-123.024066,37.994878],[-122.977082,38.267902],[-123.725367,38.917438],[-123.851714,39.832041],[-124.363414,40.260974],[-124.408601,40.443201],[-124.137066,40.925732],[-124.063076,41.439579],[-124.147412,41.717955],[-124.255994,41.783014],[-124.214213,42.005939],[-124.410982,42.250547],[-124.401177,42.627192],[-124.552441,42.840568],[-124.233534,43.55713],[-124.067569,44.428582],[-123.927891,46.009564],[-124.024305,46.229256],[-123.854801,46.157342],[-123.547636,46.265595],[-124.080671,46.267239],[-124.068655,46.634879],[-124.026032,46.462978],[-123.943667,46.477197],[-123.960642,46.636364],[-123.84621,46.716795],[-124.092176,46.741624],[-124.138225,46.905534],[-123.86018,46.948556],[-124.122057,47.04165],[-124.180111,46.926357],[-124.425195,47.738434],[-124.672427,47.964414],[-124.733174,48.163393],[-124.65894,48.331057],[-124.731828,48.381157],[-123.981032,48.164761],[-123.332699,48.11297],[-123.133445,48.177276],[-122.877641,48.047025],[-122.833173,48.134406],[-122.760448,48.14324],[-122.766648,48.04429],[-122.68724,48.101662],[-122.718082,47.987739],[-122.610341,47.887343],[-122.811929,47.679861],[-122.820178,47.835904],[-123.15598,47.355745],[-122.549072,47.919072],[-122.470333,47.757109],[-122.554454,47.745704],[-122.479089,47.583654],[-122.547521,47.285344],[-122.611464,47.2181],[-122.697378,47.283969],[-122.632463,47.376394],[-122.725738,47.33047],[-122.641802,47.205013],[-122.711997,47.127681],[-122.832799,47.243412],[-122.803688,47.355071],[-122.863732,47.270221],[-122.858735,47.167955],[-122.67813,47.103866],[-122.547747,47.316403],[-122.4442,47.266723],[-122.324833,47.348521],[-122.421139,47.57602],[-122.339513,47.599113],[-122.429841,47.658919],[-122.224979,48.016626],[-122.395499,48.228551],[-122.479008,48.175703],[-122.358375,48.056133],[-122.512031,48.133931],[-122.530996,48.249821],[-122.371693,48.287839],[-122.712322,48.464143],[-122.471832,48.470724],[-122.534719,48.574246],[-122.425271,48.599522],[-122.535803,48.776128],[-122.673472,48.733082],[-122.821631,48.941369],[-122.75802,49.002357],[-95.153711,48.998903],[-95.15335,49.383079],[-94.957465,49.370186],[-94.816222,49.320987],[-94.645083,48.744143],[-93.840754,48.628548],[-93.794454,48.516021],[-92.954876,48.631493],[-92.634931,48.542873],[-92.712562,48.463013],[-92.456325,48.414204],[-92.369174,48.220268],[-92.26228,48.354933],[-92.055228,48.359213],[-91.567254,48.043719],[-90.88548,48.245784],[-90.751608,48.090968],[-89.489226,48.014528],[-90.86827,47.5569],[-92.094089,46.787839],[-91.961889,46.682539],[-90.855874,46.962232],[-90.750952,46.890293],[-90.951476,46.597033],[-90.73726,46.692267],[-90.436512,46.561748],[-88.972802,47.002096],[-88.418841,47.371058],[-87.929672,47.478743],[-87.710471,47.4062],[-87.957058,47.38726],[-88.227552,47.199938],[-88.443901,46.972251],[-88.462349,46.786711],[-88.142807,46.966302],[-88.175197,46.90458],[-87.681561,46.842392],[-87.352448,46.501324],[-87.008724,46.532723],[-86.850111,46.434114],[-86.698139,46.438624],[-86.678182,46.561039],[-86.586168,46.463324],[-86.161681,46.669475],[-84.989497,46.772403],[-85.015211,46.479712],[-84.551496,46.418522],[-84.128925,46.530119],[-84.097766,46.256512],[-84.251424,46.175888],[-83.873147,45.993426],[-83.765277,46.018363],[-83.815826,46.108529],[-83.581315,46.089613],[-83.510623,45.929324],[-84.376429,45.931962],[-84.656567,46.052654],[-84.746985,45.835597],[-85.01399,46.010774],[-85.499422,46.09692],[-85.697203,45.960158],[-86.278007,45.942057],[-86.616893,45.606796],[-86.718191,45.67732],[-86.541464,45.890234],[-86.78208,45.860195],[-86.964275,45.672761],[-87.031435,45.837238],[-87.600796,45.146842],[-87.630298,44.976865],[-87.837647,44.933091],[-88.005518,44.539216],[-87.756048,44.649117],[-87.609784,44.838514],[-87.384821,44.865532],[-87.238426,45.166492],[-86.970355,45.278455],[-87.467089,44.553557],[-87.512903,44.192808],[-87.735436,43.882219],[-87.702685,43.687596],[-87.911787,43.250406],[-87.766675,42.784896],[-87.828569,42.269922],[-87.42344,41.642835],[-87.066033,41.661845],[-86.616978,41.896625],[-86.297168,42.358207],[-86.208654,42.69209],[-86.254646,43.083409],[-86.540916,43.633158],[-86.43114,43.815569],[-86.514704,44.057672],[-86.26871,44.345324],[-86.254996,44.691935],[-85.551072,45.210742],[-85.652355,44.849092],[-85.593833,44.768651],[-85.475204,44.991053],[-85.576566,44.760208],[-85.3958,44.931018],[-85.371593,45.270834],[-84.91585,45.393115],[-85.115479,45.539406],[-84.942636,45.714292],[-85.014509,45.760329],[-84.726192,45.786905],[-84.215268,45.634767],[-84.095905,45.497298],[-83.488826,45.355872],[-83.265896,45.026844],[-83.454168,45.03188],[-83.274747,44.714893],[-83.332533,44.340464],[-83.53771,44.248171],[-83.58409,44.056748],[-83.877047,43.959351],[-83.909479,43.672622],[-83.666052,43.591292],[-83.26153,43.973525],[-82.967439,44.066138],[-82.746255,43.996037],[-82.643166,43.852468],[-82.412965,42.977041],[-82.518782,42.613888],[-82.686417,42.518597],[-82.630851,42.673341],[-82.813518,42.640833],[-82.894013,42.389437],[-83.096521,42.290138],[-83.133511,42.088143],[-83.455626,41.727445],[-82.934369,41.514353],[-82.834101,41.587587],[-82.499099,41.381541],[-82.011966,41.515639],[-81.738755,41.48855],[-81.288892,41.758945],[-80.329976,42.036168],[-79.148723,42.553672],[-78.851355,42.791758],[-79.074467,43.077855],[-79.070469,43.262454],[-78.370221,43.376505],[-77.760231,43.341161],[-77.551022,43.235763],[-76.958402,43.270005],[-76.235834,43.529256],[-76.28272,43.858601],[-76.125023,43.912773],[-76.360306,44.070907],[-76.312647,44.199044],[-74.992756,44.977449],[-71.502487,45.013367],[-71.443882,45.235462],[-71.296509,45.29919],[-71.13943,45.242958],[-71.01081,45.34725],[-70.857042,45.22916],[-70.795009,45.428145],[-70.634661,45.383608],[-70.688214,45.563981],[-70.259117,45.890755],[-70.292736,46.191599],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.043947,47.427634],[-69.050334,47.256621],[-68.902425,47.178839],[-68.329879,47.36023],[-67.955669,47.199542],[-67.789461,47.062544],[-67.750422,45.917898],[-67.817892,45.693705],[-67.429716,45.583773],[-67.489464,45.282653],[-67.345585,45.126392],[-67.157919,45.161004],[-66.950569,44.814539],[-67.293403,44.599265],[-67.308538,44.707454],[-67.405492,44.594236],[-67.551133,44.621938],[-67.568159,44.531117],[-67.839896,44.558771],[-67.855108,44.419434],[-68.049334,44.33073],[-68.117746,44.475038],[-68.261708,44.484062],[-68.173608,44.328397],[-68.317588,44.225101],[-68.430946,44.298624],[-68.3791,44.430049],[-68.565161,44.39907],[-68.525302,44.227554],[-68.827197,44.31216],[-68.783679,44.473879],[-68.927452,44.448039],[-69.100863,44.104529],[-69.031878,44.079036],[-69.214205,43.935583],[-69.398455,43.971804],[-69.838689,43.70514],[-69.884066,43.778035],[-70.041351,43.738053],[-70.009869,43.859315],[-70.190014,43.771866],[-70.196911,43.565146],[-70.361214,43.52919],[-70.810069,42.909549],[-70.778671,42.693622],[-70.594014,42.63503],[-70.871382,42.546404],[-71.01568,42.326019],[-70.722269,42.207959],[-70.63848,42.081579],[-70.710034,41.999544],[-70.552941,41.929641],[-70.471552,41.761563],[-70.024734,41.787364],[-70.095595,42.032832],[-70.245385,42.063733],[-70.058531,42.040363],[-69.935952,41.809422],[-69.998071,41.54365],[-70.007011,41.671579],[-70.351634,41.634687],[-70.948431,41.409193],[-70.658659,41.543385],[-70.623652,41.707398],[-70.718739,41.73574],[-71.19302,41.457931],[-71.240709,41.619225],[-71.24071,41.474872],[-71.337695,41.448902],[-71.19564,41.67509],[-71.350057,41.727835],[-71.449318,41.687401],[-71.483295,41.371722],[-72.916827,41.282033],[-73.643478,41.002171],[-73.781369,40.794907],[-73.485365,40.946397],[-72.585327,40.997587],[-72.278789,41.158722],[-72.317238,41.088659],[-72.10216,40.991509],[-71.856214,41.070598],[-73.23914,40.6251],[-73.934512,40.545175],[-74.024543,40.709436],[-74.186027,40.646076],[-74.261889,40.464706],[-73.978282,40.440208],[-74.096906,39.76303],[-74.864458,38.94041],[-74.971995,38.94037],[-74.887167,39.158825],[-75.136548,39.179425],[-75.536431,39.460559],[-75.509342,39.685313],[-75.587147,39.651012],[-75.402035,39.066885],[-75.089473,38.797198],[-75.048939,38.451263],[-75.195382,38.093582],[-75.514921,37.799149],[-75.906734,37.114193],[-76.018645,37.31782],[-75.663095,37.961195],[-75.892686,37.916848],[-75.812913,38.058932],[-75.843862,38.144599],[-75.958786,38.135572],[-75.848473,38.20934],[-75.970514,38.233668],[-75.973876,38.36585],[-76.032044,38.216684],[-76.258189,38.318373],[-76.33636,38.492235],[-76.147158,38.63684],[-76.238685,38.735434],[-76.347998,38.686234],[-76.271575,38.851771],[-76.19343,38.821787],[-76.203638,38.928382],[-76.376031,38.848777],[-76.311766,39.035257],[-76.164004,38.99953],[-76.145174,39.092824],[-76.231765,39.018518],[-76.274741,39.164961],[-76.170588,39.331954],[-76.002408,39.367501],[-75.970337,39.557637],[-76.096072,39.536912],[-76.060988,39.447775],[-76.281374,39.304531],[-76.341443,39.354217],[-76.425281,39.205708],[-76.535885,39.211008],[-76.394358,39.01216],[-76.557535,38.744687],[-76.321499,38.03805],[-76.920778,38.291529],[-77.016371,38.445572],[-77.250172,38.382781],[-77.263599,38.512344],[-77.12634,38.6177],[-77.246704,38.635217],[-77.279633,38.339444],[-77.043526,38.400548],[-76.962311,38.214075],[-76.613939,38.148587],[-76.236725,37.889174],[-76.339892,37.655966],[-76.28037,37.613715],[-76.36232,37.610368],[-76.784618,37.869569],[-76.542666,37.616857],[-76.300144,37.561734],[-76.360474,37.51924],[-76.265056,37.481365],[-76.275552,37.309964],[-76.415167,37.402133],[-76.349489,37.273963],[-76.50364,37.233856],[-76.292344,37.126615],[-76.304272,37.001378],[-76.428869,36.969947],[-76.649869,37.220914],[-76.802511,37.198308],[-76.685614,37.198851],[-76.662558,37.045748],[-76.469914,36.882898],[-76.297663,36.968147],[-75.996252,36.922047],[-75.867044,36.550754]],[[-77.038598,38.791513],[-76.910795,38.891712],[-77.040999,38.99511],[-77.1199,38.934311],[-77.038598,38.791513]]],[[[-88.124658,30.28364],[-88.075856,30.246139],[-88.313323,30.230024],[-88.124658,30.28364]]],[[[-120.248484,33.999329],[-120.043259,34.035806],[-119.97026,33.944359],[-120.121817,33.895712],[-120.248484,33.999329]]],[[[-119.789798,34.05726],[-119.52064,34.034262],[-119.758141,33.959212],[-119.923337,34.069361],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.605534,33.030999],[-118.353504,32.821962],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.305084,33.310323],[-118.465368,33.326056],[-118.60403,33.47654],[-118.500212,33.449592]]],[[[-81.582923,24.658732],[-81.425483,24.752989],[-81.298028,24.656774],[-81.81289,24.546468],[-81.582923,24.658732]]],[[[-84.777208,29.707398],[-84.696726,29.76993],[-85.097082,29.625215],[-84.777208,29.707398]]],[[[-85.156415,29.679628],[-85.077237,29.670862],[-85.222546,29.678039],[-85.156415,29.679628]]],[[[-82.255777,26.703437],[-82.166042,26.489679],[-82.013913,26.452058],[-82.177017,26.471558],[-82.255777,26.703437]]],[[[-80.250581,25.34193],[-80.659395,24.897433],[-80.174544,25.518406],[-80.250581,25.34193]]],[[[-88.865067,29.752714],[-88.944435,29.658806],[-88.8312,29.878839],[-88.881454,30.053202],[-88.865067,29.752714]]],[[[-70.59628,41.471905],[-70.451084,41.348161],[-70.838777,41.347209],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-70.049053,41.391702],[-69.960181,41.264546],[-70.275526,41.310464],[-70.092142,41.297741]]],[[[-68.453236,44.189998],[-68.384903,44.154955],[-68.502096,44.152388],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.605906,44.230772],[-68.675056,44.137131],[-68.680773,44.279242]]],[[[-68.785601,44.053503],[-68.944597,44.11284],[-68.825067,44.186338],[-68.785601,44.053503]]],[[[-68.942826,44.281073],[-68.868444,44.38144],[-68.95189,44.218719],[-68.942826,44.281073]]],[[[-88.684434,48.115785],[-88.418244,48.18037],[-88.968903,47.901675],[-88.899698,47.902445],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-84.612845,45.834528],[-84.35602,45.771895],[-84.484128,45.73071],[-84.612845,45.834528]]],[[[-85.566441,45.760222],[-85.487026,45.621211],[-85.561634,45.572213],[-85.630016,45.598166],[-85.566441,45.760222]]],[[[-88.710719,30.250799],[-88.562067,30.227476],[-88.771991,30.245523],[-88.710719,30.250799]]],[[[-75.753765,35.199612],[-75.529393,35.288272],[-75.533512,35.773577],[-75.458659,35.596597],[-75.52592,35.233839],[-76.013145,35.061855],[-75.753765,35.199612]]],[[[-74.144428,40.53516],[-74.254588,40.502303],[-74.1894,40.642121],[-74.075884,40.648101],[-74.144428,40.53516]]],[[[-97.240849,26.411504],[-97.387459,26.820789],[-97.361796,27.359988],[-96.879424,28.131402],[-96.403206,28.371475],[-96.966996,27.950531],[-97.30447,27.407734],[-97.370731,26.909706],[-97.154271,26.066841],[-97.240849,26.411504]]],[[[-122.519535,48.288314],[-122.668385,48.223967],[-122.54512,48.05255],[-122.376259,48.034457],[-122.380497,47.904023],[-122.770045,48.224395],[-122.664659,48.401508],[-122.519535,48.288314]]],[[[-122.474684,47.511068],[-122.373628,47.388718],[-122.51885,47.33332],[-122.474684,47.511068]]],[[[-122.800217,48.60169],[-122.803521,48.428748],[-122.874135,48.418196],[-123.203026,48.596178],[-122.987296,48.561895],[-123.048652,48.621002],[-122.894599,48.71503],[-122.743049,48.661991],[-122.800217,48.60169]]],[[[-90.572383,46.958835],[-90.508157,46.956836],[-90.654796,46.919249],[-90.572383,46.958835]]],[[[-90.757147,47.03372],[-90.544875,47.017383],[-90.671581,46.948973],[-90.757147,47.03372]]],[[[-86.880572,45.331467],[-86.943041,45.41525],[-86.810055,45.422619],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA \"}}]}\n\n\n","volume":"619-620","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee715e4b0da30c1bfc102","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gara, Brian","contributorId":52061,"corporation":false,"usgs":true,"family":"Gara","given":"Brian","affiliations":[],"preferred":false,"id":729638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumacher, William","contributorId":150060,"corporation":false,"usgs":false,"family":"Schumacher","given":"William","email":"","affiliations":[{"id":17898,"text":"Ohio Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":729639,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195621,"text":"70195621 - 2018 - Rayleigh and S wave tomography constraints on subduction termination and lithospheric foundering in central California","interactions":[],"lastModifiedDate":"2018-02-26T12:31:26","indexId":"70195621","displayToPublicDate":"2018-02-26T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Rayleigh and S wave tomography constraints on subduction termination and lithospheric foundering in central California","docAbstract":"The crust and upper mantle structure of central California have been modified by subduction termination, growth of the San Andreas plate boundary fault system, and small-scale upper mantle convection since the early Miocene. Here we investigate the contributions of these processes to the creation of the Isabella Anomaly, which is a high seismic velocity volume in the upper mantle. There are two types of hypotheses for its origin. One is that it is the foundered mafic lower crust and mantle lithosphere of the southern Sierra Nevada batholith. The alternative suggests that it is a fossil slab connected to the Monterey microplate. A dense broadband seismic transect was deployed from the coast to the western Sierra Nevada to fill in the least sampled areas above the Isabella Anomaly, and regional-scale Rayleigh and S wave tomography are used to evaluate the two hypotheses. New shear velocity (Vs) tomography images a high-velocity anomaly beneath coastal California that is sub-horizontal at depths of ∼40–80 km. East of the San Andreas Fault a continuous extension of the high-velocity anomaly dips east and is located beneath the Sierra Nevada at ∼150–200 km depth. The western position of the Isabella Anomaly in the uppermost mantle is inconsistent with earlier interpretations that the Isabella Anomaly is connected to actively foundering foothills lower crust. Based on the new Vs images, we interpret that the Isabella Anomaly is not the dense destabilized root of the Sierra Nevada, but rather a remnant of Miocene subduction termination that is translating north beneath the central San Andreas Fault. Our results support the occurrence of localized lithospheric foundering beneath the high elevation eastern Sierra Nevada, where we find a lower crustal low Vs layer consistent with a small amount of partial melt. The high elevations relative to crust thickness and lower crustal low Vs zone are consistent with geological inferences that lithospheric foundering drove uplift and a ∼3–4 Ma pulse of basaltic magmatism.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2018.02.009","usgsCitation":"Jiang, C., Schmandt, B., Hansen, S.M., Dougherty, S.L., Clayton, R.W., Farrell, J., and Lin, F., 2018, Rayleigh and S wave tomography constraints on subduction termination and lithospheric foundering in central California: Earth and Planetary Science Letters, v. 488, p. 14-26, https://doi.org/10.1016/j.epsl.2018.02.009.","productDescription":"13 p.","startPage":"14","endPage":"26","ipdsId":"IP-090395","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":468974,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20180221-090936349","text":"External Repository"},{"id":352018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124,\n 32\n ],\n [\n -114,\n 32\n ],\n [\n -114,\n 39\n ],\n [\n -124,\n 39\n ],\n [\n -124,\n 32\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"488","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee717e4b0da30c1bfc112","contributors":{"authors":[{"text":"Jiang, Chengxin","contributorId":202749,"corporation":false,"usgs":false,"family":"Jiang","given":"Chengxin","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":729435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmandt, Brandon","contributorId":202750,"corporation":false,"usgs":false,"family":"Schmandt","given":"Brandon","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":729436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Steven M.","contributorId":202751,"corporation":false,"usgs":false,"family":"Hansen","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":729437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dougherty, Sara L. 0000-0002-5327-3286 sdougherty@usgs.gov","orcid":"https://orcid.org/0000-0002-5327-3286","contributorId":191210,"corporation":false,"usgs":true,"family":"Dougherty","given":"Sara","email":"sdougherty@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":729434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clayton, Robert W.","contributorId":202752,"corporation":false,"usgs":false,"family":"Clayton","given":"Robert","email":"","middleInitial":"W.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":729438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farrell, Jamie","contributorId":175477,"corporation":false,"usgs":false,"family":"Farrell","given":"Jamie","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":729439,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lin, Fan-Chi","contributorId":175478,"corporation":false,"usgs":false,"family":"Lin","given":"Fan-Chi","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":729440,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}