{"pageNumber":"161","pageRowStart":"4000","pageSize":"25","recordCount":16502,"records":[{"id":70042974,"text":"cir13813 - 2012 - Hydrology and management of Lakes Mead and Mohave within the Colorado River Basin: Chapter 3 in <i>A synthesis of aquatic science for management of Lakes Mead and Mohave</i>","interactions":[],"lastModifiedDate":"2013-02-06T14:48:53","indexId":"cir13813","displayToPublicDate":"2013-01-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1381-3","title":"Hydrology and management of Lakes Mead and Mohave within the Colorado River Basin: Chapter 3 in <i>A synthesis of aquatic science for management of Lakes Mead and Mohave</i>","docAbstract":"The Colorado River Basin covers parts of seven States: Colorado, Wyoming, Utah, New Mexico, Nevada, Arizona, and California; at 1,450 mi (2,333.5 km) in length, the Colorado River is the seventh longest river in the United States (fig. 3-1). The Bureau of Reclamation has the responsibility for management of this system, in coordination with the seven basin States, within a complex framework of law, regulations, compact, treaty, and policies often referred to collectively as the “Law of the River.” Lake Mead is a critical component of the overall Colorado River management, providing the capacity to store almost 2 years of the average runoff of the river.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A synthesis of aquatic science for management of Lakes Mead and Mohave (CIR 1381)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir13813","collaboration":"This report is Chapter 3 in <i>A synthesis of aquatic science for management of Lakes Mead and Mohave</i>. For more information, see: <a href=\"http://pubs.er.usgs.gov/publication/cir1381\" target=\"_blank\">Circular 1381</a>","usgsCitation":"Holdren, G.C., Tietjen, T., Turner, K., and Miller, J.M., 2012, Hydrology and management of Lakes Mead and Mohave within the Colorado River Basin: Chapter 3 in <i>A synthesis of aquatic science for management of Lakes Mead and Mohave</i>: U.S. Geological Survey Circular 1381-3, 12 p., https://doi.org/10.3133/cir13813.","productDescription":"12 p.","startPage":"23","endPage":"34","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":266726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1381_3.jpg"},{"id":266724,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1381/"},{"id":266725,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381.pdf"}],"otherGeospatial":"Lake Mead National Recreation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.92,35.17 ], [ -114.92,36.59 ], [ -113.14,36.59 ], [ -113.14,35.17 ], [ -114.92,35.17 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5108ef70e4b0d965cd9f22b4","contributors":{"authors":[{"text":"Holdren, G. Chris","contributorId":77817,"corporation":false,"usgs":true,"family":"Holdren","given":"G.","email":"","middleInitial":"Chris","affiliations":[],"preferred":false,"id":472709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tietjen, Todd","contributorId":56530,"corporation":false,"usgs":true,"family":"Tietjen","given":"Todd","email":"","affiliations":[],"preferred":false,"id":472708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Kent","contributorId":11486,"corporation":false,"usgs":true,"family":"Turner","given":"Kent","email":"","affiliations":[],"preferred":false,"id":472707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Jennell M.","contributorId":104365,"corporation":false,"usgs":true,"family":"Miller","given":"Jennell","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042951,"text":"cir1381 - 2012 - A synthesis of aquatic science for management of Lakes Mead and Mohave","interactions":[{"subject":{"id":70042972,"text":"70042972 - 2012 - Introduction and summary of findings","indexId":"70042972","publicationYear":"2012","noYear":false,"chapter":"1","title":"Introduction and summary of findings"},"predicate":"IS_PART_OF","object":{"id":70042951,"text":"cir1381 - 2012 - A synthesis of aquatic science for management of Lakes Mead and Mohave","indexId":"cir1381","publicationYear":"2012","noYear":false,"title":"A synthesis of aquatic science for management of Lakes Mead and Mohave"},"id":1}],"lastModifiedDate":"2026-04-29T17:04:02.137396","indexId":"cir1381","displayToPublicDate":"2013-01-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1381","title":"A synthesis of aquatic science for management of Lakes Mead and Mohave","docAbstract":"Lakes Mead and Mohave, which are the centerpieces of Lake Mead National Recreation Area, provide many significant benefits that have made the modern development of the Southwestern United States possible. Lake Mead is the largest reservoir by volume in the nation and it supplies critical storage of water supplies for more than 25 million people in three Western States (California, Arizona, and Nevada). Storage within Lake Mead supplies drinking water and the hydropower to provide electricity for major cities including Las Vegas, Phoenix, Los Angeles, Tucson, and San Diego, and irrigation of more than 2.5 million acres of croplands. Lake Mead is arguably the most important reservoir in the nation because of its size and the services it delivers to the Western United States. This Circular includes seven chapters. Chapter 1 provides a short summary of the overall findings and management implications for Lakes Mead and Mohave that can be used to guide the reader through the rest of the Circular. Chapter 2 introduces the environmental setting and characteristics of Lakes Mead and Mohave and provides a brief management context of the lakes within the Colorado River system as well as overviews of the geological bedrock and sediment accumulations of the lakes. Chapter 3 contains summaries of the operational and hydrologic characteristics of Lakes Mead and Mohave. Chapter 4 provides information on water quality, including discussion on the monitoring of contaminants and sediments within the reservoirs. Chapter 5 describes aquatic biota and wildlife, including food-web dynamics, plankton, invertebrates, fish, aquatic birds, and aquatic vegetation. Chapter 6 outlines threats and stressors to the health of Lake Mead aquatic ecosystems that include a range of environmental contaminants, invasive species, and climate change. Chapter 7 provides a more detailed summary of overall findings that are presented in Chapter 1; and it contains a more detailed discussion on associated management implications, additional research, and monitoring needs.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1381","collaboration":"Prepared in cooperation with the National Park Service, U.S. Fish and Wildlife Service, Bureau of Reclamation, Nevada Department of Wildlife, Southern Nevada Water Authority, University of Nevada, Reno, and University of Nevada, Las Vegas","usgsCitation":"Rosen, M.R., Turner, K., Goodbred, S.L., and Miller, J.M., 2012, A synthesis of aquatic science for management of Lakes Mead and Mohave: U.S. Geological Survey Circular 1381, vi, 162 p.; 3 Figures, https://doi.org/10.3133/cir1381.","productDescription":"Report: vi, 162 p.; 3 Figures","startPage":"i","endPage":"162","numberOfPages":"172","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":266708,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1381.jpg"},{"id":266707,"rank":2,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381_fig02-06.pdf"},{"id":266706,"rank":3,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381_fig02-04.pdf"},{"id":266704,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381.pdf"},{"id":266703,"rank":5,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1381/"},{"id":266705,"rank":4,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/circ/1381/pdf/circ1381_fig02-03.pdf"},{"id":503643,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98109.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona, Nevada","otherGeospatial":"Lake Mead National Recreation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.1448,36.0397 ], [ -114.1448,36.2538 ], [ -113.9941,36.2538 ], [ -113.9941,36.0397 ], [ -114.1448,36.0397 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5108ef5fe4b0d965cd9f22a8","contributors":{"authors":[{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Kent","contributorId":11486,"corporation":false,"usgs":true,"family":"Turner","given":"Kent","email":"","affiliations":[],"preferred":false,"id":472660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodbred, Steven L. sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":472659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Jennell M.","contributorId":104365,"corporation":false,"usgs":true,"family":"Miller","given":"Jennell","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472661,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042678,"text":"ofr20121253 - 2012 - Low-flow frequency and flow duration of selected South Carolina streams in the Saluda, Congaree, and Edisto River basins through March 2009","interactions":[],"lastModifiedDate":"2016-12-08T16:33:28","indexId":"ofr20121253","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2012","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":"2012-1253","title":"Low-flow frequency and flow duration of selected South Carolina streams in the Saluda, Congaree, and Edisto River basins through March 2009","docAbstract":"Part of the mission of the South Carolina Department of Health and Environmental Control and the South Carolina Department of Natural Resources is to protect and preserve South Carolina's water resources. Doing so requires an ongoing understanding of streamflow characteristics of the rivers and streams in South Carolina. A particular need is information concerning the low-flow characteristics of streams, which is especially important for effectively managing the State's water resources during critical flow periods, such as during periods of severe drought like South Carolina has experienced in the last decade or so. The U.S. Geological Survey, in cooperation with the South Carolina Department of Health and Environmental Control, initiated a study in 2008 to update low-flow statistics at continuous-record streamgaging stations operated by the U.S. Geological Survey in South Carolina. This report presents the low-flow statistics for 25 selected streamgaging stations in the Saluda, Congaree, and Edisto River basins in South Carolina, and includes flow durations for the 5-, 10-, 25-, 50-,75-, 90-, and 95-percent exceedances and the annual minimum 1-, 3-, 7-, 14-, 30-, 60-, and 90-day average flows with recurrence intervals of 2, 5, 10, 20, 30, and 50 years, depending on the length of record available at the streamgaging station. The low-flow statistics were computed from records available through March 31, 2009. Of the 25 streamgaging stations for which recurrence interval computations were made, 20 were compared to low-flow statistics that were published in previous U.S. Geological Survey reports. A comparison of the low-flow statistics for the annual minimum 7-day average streamflow with a 10-year recurrence interval (7Q10) from this study with the most recently published values indicates that 18 of the 20 streamgaging stations have values lower than the previous published values. The low-flow statistics are influenced by length of record, hydrologic regime under which the record was collected, analytical techniques used, and other changes, such as urbanization, diversions, droughts, and so on, that may have occurred in the basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121253","collaboration":"Prepared in cooperation with the South Carolina Department of Health and Environmental Control","usgsCitation":"Feaster, T., and Guimaraes, W.B., 2012, Low-flow frequency and flow duration of selected South Carolina streams in the Saluda, Congaree, and Edisto River basins through March 2009: U.S. Geological Survey Open-File Report 2012-1253, vi, 53 p., https://doi.org/10.3133/ofr20121253.","productDescription":"vi, 53 p.","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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,{"id":70042411,"text":"ds734 - 2012 - Quality of surface water in Missouri, water year 2011","interactions":[],"lastModifiedDate":"2026-05-12T17:35:21.38095","indexId":"ds734","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"734","title":"Quality of surface water in Missouri, water year 2011","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, designed and operates a series of monitoring stations on streams throughout Missouri known as the Ambient Water-Quality Monitoring Network. During the 2011 water year (October 1, 2010, through September 30, 2011), data were collected at 75 stations&mdash;72 Ambient Water-Quality Monitoring Network stations, 2 U.S. Geological Survey National Stream Quality Accounting Network stations, and 1 spring sampled in cooperation with the U.S. Forest Service. Dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, fecal coliform bacteria, <i>Escherichia coli</i> bacteria, dissolved nitrate plus nitrite, total phosphorus, dissolved and total recoverable lead and zinc, and select pesticide compound summaries are presented for 72 of these stations. The stations primarily have been classified into groups corresponding to the physiography of the State, primary land use, or unique station types. In addition, a summary of hydrologic conditions in the State including peak discharges, monthly mean discharges, and 7-day low flow is presented.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds734","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Barr, M.N., 2012, Quality of surface water in Missouri, water year 2011: U.S. Geological Survey Data Series 734, vi, 22 p., https://doi.org/10.3133/ds734.","productDescription":"vi, 22 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-10-01","temporalEnd":"2011-09-30","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":265364,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/734/ds734.pdf"},{"id":265363,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/734/"},{"id":265365,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_734.gif"},{"id":504283,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98042.htm","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.8,36.0 ], [ -95.8,40.6 ], [ -89.1,40.6 ], [ -89.1,36.0 ], [ -95.8,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebee6ee4b07f1501afcfc0","contributors":{"authors":[{"text":"Barr, Miya N. 0000-0002-9961-9190 mnbarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9961-9190","contributorId":3686,"corporation":false,"usgs":true,"family":"Barr","given":"Miya","email":"mnbarr@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471488,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042374,"text":"sir20125268 - 2012 - Hydrologic and sediment data collected from selected basins at the Fort Leonard Wood Military Reservation, Missouri--2010-11","interactions":[],"lastModifiedDate":"2013-01-06T13:53:14","indexId":"sir20125268","displayToPublicDate":"2013-01-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5268","title":"Hydrologic and sediment data collected from selected basins at the Fort Leonard Wood Military Reservation, Missouri--2010-11","docAbstract":"Commercial and residential development within a basin often increases the amount of impervious area, which changes the natural hydrologic response to storm events by increasing runoff. Land development and disturbance combined with increased runoff from impervious areas potentially can increase sediment transport. At the Fort Leonard Wood Military Reservation in Missouri, there has been an increase in population and construction activities in the recent past, which has initiated an assessment of the hydrology in selected basins. From April 2010 to December 2011, the U.S. Geological Survey, in cooperation with the U.S. Army Maneuver Support Center at the Fort Leonard Wood Military Reservation, collected hydrologic and suspended-sediment concentration data in six basins at Fort Leonard Wood. Storm-sediment concentration, load, and yield varied from basin to basin and from storm to storm. In general, storm-sediment yield, in pounds per square mile per minute, was greatest from Ballard Hollow tributary (06928410) and Dry Creek (06930250), and monthly storm-sediment yield, in tons per square mile, estimates were largest in Ballard Hollow tributary (06928410), East Gate Hollow tributary (06930058), and Dry Creek (06930250). Sediment samples, collected at nine sites, primarily were collected using automatic samplers and augmented with equal-width-increment cross-sectional samples and manually collected samples when necessary. Storm-sediment load and yield were computed from discharge and suspended-sediment concentration data. Monthly storm-sediment yields also were estimated from the total storm discharge and the mean suspended-sediment concentration at each given site.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125268","isbn":"978-1-4113-3531-8","collaboration":"Prepared in cooperation with U.S. Army Maneuver Support Center at the Fort Leonard Wood Military Reservation","usgsCitation":"Richards, J.M., Rydlund, P.H., and Barr, M.N., 2012, Hydrologic and sediment data collected from selected basins at the Fort Leonard Wood Military Reservation, Missouri--2010-11: U.S. Geological Survey Scientific Investigations Report 2012-5268, vi, 23 p., https://doi.org/10.3133/sir20125268.","productDescription":"vi, 23 p.","numberOfPages":"36","additionalOnlineFiles":"N","temporalStart":"2010-04-01","temporalEnd":"2011-12-31","ipdsId":"IP-039458","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":265315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5268.gif"},{"id":265313,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5268/"},{"id":265314,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5268/sir12-5268.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Missouri","county":"Pulaski","otherGeospatial":"Fort Leonard Wood","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.25,37.583333 ], [ -92.25,37.833333 ], [ -92.0,37.833333 ], [ -92.0,37.583333 ], [ -92.25,37.583333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ea9ceee4b02dd6076fad8b","contributors":{"authors":[{"text":"Richards, Joseph M. 0000-0002-9822-2706 richards@usgs.gov","orcid":"https://orcid.org/0000-0002-9822-2706","contributorId":2370,"corporation":false,"usgs":true,"family":"Richards","given":"Joseph","email":"richards@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rydlund, Paul H. Jr. 0000-0001-9461-9944 prydlund@usgs.gov","orcid":"https://orcid.org/0000-0001-9461-9944","contributorId":3840,"corporation":false,"usgs":true,"family":"Rydlund","given":"Paul","suffix":"Jr.","email":"prydlund@usgs.gov","middleInitial":"H.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barr, Miya N. 0000-0002-9961-9190 mnbarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9961-9190","contributorId":3686,"corporation":false,"usgs":true,"family":"Barr","given":"Miya","email":"mnbarr@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471404,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039016,"text":"70039016 - 2012 - Spring onset variations and trends in the continental United States: past and regional assessment using temperature-based indices","interactions":[],"lastModifiedDate":"2014-02-25T15:49:17","indexId":"70039016","displayToPublicDate":"2013-01-01T14:04:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Spring onset variations and trends in the continental United States: past and regional assessment using temperature-based indices","docAbstract":"Phenological data are simple yet sensitive indicators of climate change impacts on ecosystems, but observations have not been made routinely or extensively enough to evaluate spatial and temporal patterns across most continents, including North America. As an alternative, many studies use weather-based algorithms to simulate specific phenological responses. Spring Indices (SI) are a set of complex phenological models that have been successfully applied to evaluate variations and trends in the onset of spring across the Northern Hemisphere’s temperate regions. To date, SI models have been limited by only producing output in locations where both the plants’ chilling and warmth requirements are met. Here, we develop an extended form of the SI (abbreviated SI-x) that expands their application into the subtropics by ignoring chilling requirements while still retaining the utility and accuracy of the original SI (now abbreviated SI-o). The validity of the new indices is tested, and regional SI anomalies are explored across the data-rich continental United States. SI-x variations from 1900 to 2010 show an abrupt and sustained delay in spring onset of about 4–8 d (around 1958) in parts of the Southeast and southern Great Plains, and a comparable advance of 4–8 d (around 1984) in parts of the northern Great Plains and the West. Atmospheric circulation anomalies, linked to large-scale modes of variability, exert modest but significant roles in the timing of spring onset across the United States on interannual and longer timescales. The SI-x are promising metrics for tracking spring onset variations and trends in mid-latitudes, relating them to relevant ecological, hydrological, and socioeconomic phenomena, and exploring connections between atmospheric drivers and seasonal timing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Climatology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Meteorological Society","doi":"10.1002/joc.3625","usgsCitation":"Schwartz, M., Ault, T., and Betancourt, J.L., 2012, Spring onset variations and trends in the continental United States: past and regional assessment using temperature-based indices: International Journal of Climatology, 6 p., https://doi.org/10.1002/joc.3625.","productDescription":"6 p.","ipdsId":"IP-039075","costCenters":[{"id":147,"text":"Branch of Regional Research-Water Resources","active":false,"usgs":true}],"links":[{"id":282783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282778,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/joc.3625"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.38333 ], [ -66.95,49.38333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2012-11-16","publicationStatus":"PW","scienceBaseUri":"53cd73d8e4b0b290851092da","contributors":{"authors":[{"text":"Schwartz, Mark D.","contributorId":11092,"corporation":false,"usgs":true,"family":"Schwartz","given":"Mark D.","affiliations":[],"preferred":false,"id":465435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ault, Toby R.","contributorId":48852,"corporation":false,"usgs":true,"family":"Ault","given":"Toby R.","affiliations":[],"preferred":false,"id":465436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":465434,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046806,"text":"70046806 - 2012 - A remote-sensing, GIS-based approach to identify, characterize, and model spawning habitat for fall-run chum salmon in a sub-arctic, glacially fed river","interactions":[],"lastModifiedDate":"2013-07-09T11:25:25","indexId":"70046806","displayToPublicDate":"2013-01-01T11:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"A remote-sensing, GIS-based approach to identify, characterize, and model spawning habitat for fall-run chum salmon in a sub-arctic, glacially fed river","docAbstract":"At northern limits of a species’ distribution, fish habitat requirements are often linked to thermal preferences, and the presence of overwintering habitat. However, logistical challenges and hydrologic processes typical of glacial systems could compromize the identification of these habitats, particularly in large river environments. Our goal was to identify and characterize spawning habitat for fall-run chum salmon Oncorhynchus keta and model habitat selection from spatial distributions of tagged individuals in the Tanana River, Alaska using an approach that combined ground surveys with remote sensing. Models included braiding, sinuosity, ice-free water surface area (indicating groundwater influence), and persistent ice-free water (i.e., consistent presence of ice-free water for a 12-year period according to satellite imagery). Candidate models containing persistent ice-free water were selected as most likely, highlighting the utility of remote sensing for monitoring and identifying salmon habitat in remote areas. A combination of ground and remote surveys revealed spatial and temporal thermal characteristics of these habitats that could have strong biological implications. Persistent ice-free sites identified using synthetic aperture radar appear to serve as core areas for spawning fall chum salmon, and the importance of stability through time suggests a legacy of successful reproductive effort for this homing species. These features would not be captured with a one-visit traditional survey but rather required remote-sensing monitoring of the sites through time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.692348","usgsCitation":"Wirth, L., Rosenberger, A., Prakash, A., Gens, R., Margraf, F.J., and Hamazaki, T., 2012, A remote-sensing, GIS-based approach to identify, characterize, and model spawning habitat for fall-run chum salmon in a sub-arctic, glacially fed river: Transactions of the American Fisheries Society, v. 141, no. 5, p. 1349-1363, https://doi.org/10.1080/00028487.2012.692348.","productDescription":"15 p.","startPage":"1349","endPage":"1363","ipdsId":"IP-039186","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":274752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274749,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.692348"}],"volume":"141","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-08-30","publicationStatus":"PW","scienceBaseUri":"51dd30e4e4b0f72b44719c3d","contributors":{"authors":[{"text":"Wirth, Lisa","contributorId":24671,"corporation":false,"usgs":true,"family":"Wirth","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":480306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda","contributorId":45609,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","affiliations":[],"preferred":false,"id":480309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prakash, Anupma","contributorId":41101,"corporation":false,"usgs":true,"family":"Prakash","given":"Anupma","affiliations":[],"preferred":false,"id":480307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gens, Rudiger","contributorId":54490,"corporation":false,"usgs":true,"family":"Gens","given":"Rudiger","email":"","affiliations":[],"preferred":false,"id":480310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Margraf, F. Joseph jmargraf@usgs.gov","contributorId":257,"corporation":false,"usgs":true,"family":"Margraf","given":"F.","email":"jmargraf@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":480305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamazaki, Toshihide","contributorId":41723,"corporation":false,"usgs":true,"family":"Hamazaki","given":"Toshihide","email":"","affiliations":[],"preferred":false,"id":480308,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048115,"text":"70048115 - 2012 - Modeling responses of large-river fish populations to global climate change through downscaling and incorporation of predictive uncertainty","interactions":[],"lastModifiedDate":"2017-05-23T16:29:45","indexId":"70048115","displayToPublicDate":"2013-01-01T09:24:42","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling responses of large-river fish populations to global climate change through downscaling and incorporation of predictive uncertainty","docAbstract":"Climate change operates over a broad range of spatial and temporal scales.   Understanding its effects on ecosystems requires multi-scale models. For understanding effects on fish populations of riverine ecosystems, climate predicted by coarse-resolution Global Climate Models must be downscaled to Regional Climate Models to watersheds to river hydrology to population response. An additional challenge is quantifying sources of uncertainty given the highly nonlinear nature of interactions between climate variables and community level processes. We present a modeling approach for understanding and accomodating uncertainty by applying multi-scale climate models and a hierarchical Bayesian modeling framework to Midwest fish population dynamics and by linking models for system components together by formal rules of probability. The proposed hierarchical modeling approach will account for sources of uncertainty in forecasts of community or population response. The goal is to evaluate the potential distributional changes in an ecological system, given distributional changes implied by a series of linked climate and system models under various emissions/use scenarios. This understanding will aid evaluation of management options for coping with global climate change. In our initial analyses, we found that predicted pallid sturgeon population responses were dependent on the climate scenario considered.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"9th International Symposium on Ecohydraulics 2012 Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Wildhaber, M.L., Wikle, C.K., Anderson, C.J., Franz, K.J., Moran, E.H., and Dey, R., 2012, Modeling responses of large-river fish populations to global climate change through downscaling and incorporation of predictive uncertainty, <i>in</i> 9th International Symposium on Ecohydraulics 2012 Proceedings, 8 p.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-035667","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":287648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5387056ee4b0aa26cd7b53d1","contributors":{"editors":[{"text":"Mader, Helmut","contributorId":111577,"corporation":false,"usgs":true,"family":"Mader","given":"Helmut","email":"","affiliations":[],"preferred":false,"id":509597,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Kraml, Julia","contributorId":112880,"corporation":false,"usgs":true,"family":"Kraml","given":"Julia","email":"","affiliations":[],"preferred":false,"id":509598,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wikle, Christopher K.","contributorId":55680,"corporation":false,"usgs":true,"family":"Wikle","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":483783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Christopher J.","contributorId":11516,"corporation":false,"usgs":true,"family":"Anderson","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":483781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Franz, Kristie J.","contributorId":36061,"corporation":false,"usgs":true,"family":"Franz","given":"Kristie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":483782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Edward H. emoran@usgs.gov","contributorId":5445,"corporation":false,"usgs":true,"family":"Moran","given":"Edward","email":"emoran@usgs.gov","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dey, Rima","contributorId":81210,"corporation":false,"usgs":true,"family":"Dey","given":"Rima","email":"","affiliations":[],"preferred":false,"id":483784,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70004117,"text":"70004117 - 2012 - Estimating the benefits of land imagery in environmental applications: a case study in nonpoint source pollution of groundwater","interactions":[],"lastModifiedDate":"2013-03-18T17:11:43","indexId":"70004117","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimating the benefits of land imagery in environmental applications: a case study in nonpoint source pollution of groundwater","docAbstract":"Moderate-resolution land imagery (MRLI) is crucial to a more complete assessment of the cumulative, landscape-level effect of agricultural land use and land cover on environmental quality. If this improved assessment yields a net social benefit, then that benefit reflects the value of information (VOI) from MRLI. Environmental quality and the capacity to provide ecosystem services evolve because of human actions, changing natural conditions, and their interaction with natural physical processes. The human actions, in turn, are constrained and redirected by many institutions and regulations such as agricultural, energy, and environmental policies. We present a general framework for bringing together sociologic, biologic, physical, hydrologic, and geologic processes at meaningful scales to interpret environmental implications of MRLI applications. We set out a specific application using MRLI observations to identify crop planting patterns and thus estimate surface management activities that influence groundwater resources over a regional landscape. We tailor the application to the characteristics of nonpoint source groundwater pollution hazards in Iowa to illustrate a general framework in a land use-hydrologic-economic system. In the example, MRLI VOI derives from reducing the risk of both losses to agricultural production and damage to human health and other consequences of contaminated groundwater.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The value of information","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/978-94-007-4839-2_10","collaboration":"This is Chapter 10","usgsCitation":"Bernknopf, R.L., Forney, W.M., Raunikar, R.P., and Mishra, S.K., 2012, Estimating the benefits of land imagery in environmental applications: a case study in nonpoint source pollution of groundwater, chap. <i>of</i> The value of information, p. 257-299, https://doi.org/10.1007/978-94-007-4839-2_10.","productDescription":"43 p.","startPage":"257","endPage":"299","ipdsId":"IP-024922","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":269684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269683,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-94-007-4839-2_10"}],"noUsgsAuthors":false,"publicationDate":"2012-07-03","publicationStatus":"PW","scienceBaseUri":"51483788e4b022dd171afe59","contributors":{"editors":[{"text":"Laxminarayan, Ramanan","contributorId":112226,"corporation":false,"usgs":true,"family":"Laxminarayan","given":"Ramanan","email":"","affiliations":[],"preferred":false,"id":508223,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Maccauley, Molly K.","contributorId":112432,"corporation":false,"usgs":true,"family":"Maccauley","given":"Molly","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":508224,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Bernknopf, Richard L.","contributorId":97061,"corporation":false,"usgs":true,"family":"Bernknopf","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forney, William M.","contributorId":43490,"corporation":false,"usgs":true,"family":"Forney","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":350425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raunikar, Ronald P.","contributorId":101535,"corporation":false,"usgs":true,"family":"Raunikar","given":"Ronald","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":350427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mishra, Shruti K.","contributorId":21432,"corporation":false,"usgs":true,"family":"Mishra","given":"Shruti","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":350424,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045511,"text":"70045511 - 2012 - Drainage network structure and hydrologic behavior of three lake-rich watersheds on the Arctic Coastal Plain, Alaska","interactions":[],"lastModifiedDate":"2024-04-01T22:17:37.254437","indexId":"70045511","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Drainage network structure and hydrologic behavior of three lake-rich watersheds on the Arctic Coastal Plain, Alaska","docAbstract":"Watersheds draining the Arctic Coastal Plain (ACP) of Alaska are dominated by permafrost and snowmelt runoff that create abundant surface storage in the form of lakes, wetlands, and beaded streams. These surface water elements compose complex drainage networks that affect aquatic ecosystem connectivity and hydrologic behavior. The 4676 km<sup>2</sup> Fish Creek drainage basin is composed of three watersheds that represent a gradient of the ACP landscape with varying extents of eolian, lacustrine, and fluvial landforms. In each watershed, we analyzed 2.5-m-resolution aerial photography, a 5-m digital elevation model, and river gauging and climate records to better understand ACP watershed structure and processes. We show that connected lakes accounted for 19 to 26% of drainage density among watersheds and most all channels initiate from lake basins in the form of beaded streams. Of the > 2500 lakes in these watersheds, 33% have perennial streamflow connectivity, and these represent 66% of total lake area extent. Deeper lakes with over-wintering habitat were more abundant in the watershed with eolian sand deposits, while the watershed with marine silt deposits contained a greater extent of beaded streams and shallow thermokarst lakes that provide essential summer feeding habitat. Comparison of flow regimes among watersheds showed that higher lake extent and lower drained lake-basin extent corresponded with lower snowmelt and higher baseflow runoff. Variation in baseflow runoff among watersheds was most pronounced during drought conditions in 2007 with corresponding reduction in snowmelt peak flows the following year. Comparison with other Arctic watersheds indicates that lake area extent corresponds to slower recession of both snowmelt and baseflow runoff. These analyses help refine our understanding of how Arctic watersheds are structured and function hydrologically, emphasizing the important role of lake basins and suggesting how future lake change may impact hydrologic processes.","language":"English","publisher":"Institute of Arctic and Alpine Research (INSTAAR), University of Colorado","doi":"10.1657/1938-4246-44.4.385","usgsCitation":"Arp, C., Whitman, M., Jones, B.M., Kemnitz, R., Grosse, G., and Urban, F., 2012, Drainage network structure and hydrologic behavior of three lake-rich watersheds on the Arctic Coastal Plain, Alaska: Arctic, Antarctic, and Alpine Research, v. 44, no. 4, p. 385-394, https://doi.org/10.1657/1938-4246-44.4.385.","productDescription":"10 p.","startPage":"385","endPage":"394","ipdsId":"IP-040648","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474278,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1657/1938-4246-44.4.385","text":"External Repository"},{"id":271770,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -147.5,\n              69\n            ],\n            [\n              -147.5,\n              71\n            ],\n            [\n              -158,\n              71\n            ],\n            [\n              -158,\n              69\n            ],\n            [\n              -147.5,\n              69\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-01-16","publicationStatus":"PW","scienceBaseUri":"51838ae6e4b0a21483941a92","contributors":{"authors":[{"text":"Arp, C.D.","contributorId":54715,"corporation":false,"usgs":true,"family":"Arp","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":477678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, M.S.","contributorId":66893,"corporation":false,"usgs":true,"family":"Whitman","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":477680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kemnitz, R.","contributorId":58813,"corporation":false,"usgs":true,"family":"Kemnitz","given":"R.","email":"","affiliations":[],"preferred":false,"id":477679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":477681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Urban, F.E. 0000-0002-1329-1703","orcid":"https://orcid.org/0000-0002-1329-1703","contributorId":34352,"corporation":false,"usgs":true,"family":"Urban","given":"F.E.","affiliations":[],"preferred":false,"id":477676,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046257,"text":"70046257 - 2012 - The ICDP Snake River Geothermal Drilling Project: preliminary overview of borehole geophysics","interactions":[],"lastModifiedDate":"2019-05-30T13:40:21","indexId":"70046257","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"The ICDP Snake River Geothermal Drilling Project: preliminary overview of borehole geophysics","docAbstract":"Hotspot: The Snake River Geothermal Drilling Project was undertaken to better understand the geothermal systems in three locations across the Snake River Plain with varying geological and hydrological structure. An extensive series of standard and specialized geophysical logs were obtained in each of the wells. Hydrogen-index neutron and γ-γ density logs employing active sources were deployed through the drill string, and although not fully calibrated for such a situation do provide semi-quantitative information related to the ‘stratigraphy’ of the basalt flows and on the existence of alteration minerals. Electrical resistivity logs highlight the existence of some fracture and mineralized zones. Magnetic susceptibility together with the vector magnetic field measurements display substantial variations that, in combination with laboratory measurements, may provide a tool for tracking magnetic field reversals along the borehole. Full waveform sonic logs highlight the variations in compressional and shear velocity along the borehole. These, together with the high resolution borehole seismic measurements display changes with depth that are not yet understood. The borehole seismic measurements indicate that seismic arrivals are obtained at depth in the formations and that strong seismic reflections are produced at lithological contacts seen in the corresponding core logging. Finally, oriented ultrasonic borehole televiewer images were obtained over most of the wells and these correlate well with the nearly 6 km of core obtained. This good image log to core correlations, particularly with regards to drilling induced breakouts and tensile borehole and core fractures will allow for confident estimates of stress directions and or placing constraints on stress magnitudes. Such correlations will be used to orient in core orientation giving information useful in hydrological assessments, paleomagnetic dating, and structural volcanology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geothermal Resources Council Transactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Schmitt, D.R., Liberty, L.M., Kessler, J.E., Kuck, J., Kofman, R., Bishop, R., Shervais, J.W., Evans, J.P., and Champion, D.E., 2012, The ICDP Snake River Geothermal Drilling Project: preliminary overview of borehole geophysics: Geothermal Resources Council Transactions, v. 36, p. 1017-1022.","productDescription":"6 p.","startPage":"1017","endPage":"1022","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":273204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273201,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1030354"}],"country":"United States","otherGeospatial":"Snake River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.0,40.75 ], [ -119.0,45.25 ], [ -109.66,45.25 ], [ -109.66,40.75 ], [ -119.0,40.75 ] ] ] } } ] }","volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c70e4b08a3322c2c34a","contributors":{"authors":[{"text":"Schmitt, Douglas R.","contributorId":56959,"corporation":false,"usgs":true,"family":"Schmitt","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":479324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liberty, Lee M.","contributorId":89631,"corporation":false,"usgs":true,"family":"Liberty","given":"Lee","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kessler, James E.","contributorId":13121,"corporation":false,"usgs":true,"family":"Kessler","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuck, Jochem","contributorId":71862,"corporation":false,"usgs":true,"family":"Kuck","given":"Jochem","email":"","affiliations":[],"preferred":false,"id":479326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kofman, Randolph","contributorId":99867,"corporation":false,"usgs":true,"family":"Kofman","given":"Randolph","email":"","affiliations":[],"preferred":false,"id":479328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bishop, Ross","contributorId":41319,"corporation":false,"usgs":true,"family":"Bishop","given":"Ross","email":"","affiliations":[],"preferred":false,"id":479322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shervais, John W.","contributorId":57753,"corporation":false,"usgs":true,"family":"Shervais","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":479325,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, James P.","contributorId":53760,"corporation":false,"usgs":true,"family":"Evans","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":479323,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":479320,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70043288,"text":"70043288 - 2012 - Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China","interactions":[],"lastModifiedDate":"2014-09-18T13:12:41","indexId":"70043288","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China","docAbstract":"Investigating the relationship between factors (climate change, atmospheric CO<sub>2</sub> concentrations enrichment, and vegetation structure) and hydrological processes is important for understanding and predicting the interaction between the hydrosphere and biosphere. The Integrated Biosphere Simulator (IBIS) was used to evaluate the effects of climate change, rising CO<sub>2</sub>, and vegetation structure on hydrological processes in China at the end of the 21st century. Seven simulations were implemented using the assemblage of the IPCC climate and CO<sub>2</sub> concentration scenarios, SRES A2 and SRES B1. Analysis results suggest that (1) climate change will have increasing effects on runoff, evapotranspiration (ET), transpiration (T), and transpiration ratio (transpiration/evapotranspiration, T/E) in most hydrological regions of China except in the southernmost regions; (2) elevated CO<sub>2</sub> concentrations will have increasing effects on runoff at the national scale, but at the hydrological region scale, the physiology effects induced by elevated CO<sub>2</sub> concentration will depend on the vegetation types, climate conditions, and geographical background information with noticeable decreasing effects shown in the arid Inland region of China; (3) leaf area index (LAI) compensation effect and stomatal closure effect are the dominant factors on runoff in the arid Inland region and southern moist hydrological regions, respectively; (4) the magnitudes of climate change (especially the changing precipitation pattern) effects on the water cycle are much larger than those of the elevated CO<sub>2</sub> concentration effects; however, increasing CO<sub>2</sub> concentration will be one of the most important modifiers to the water cycle; (5) the water resource condition will be improved in northern China but depressed in southernmost China under the IPCC climate change scenarios, SRES A2 and SRES B1.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global and Planetary Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2011.10.010","usgsCitation":"Zhu, Q., Jiang, H., Peng, C., Liu, J., Fang, X., Wei, X., Liu, S., and Zhou, G., 2012, Effects of future climate change, CO<sub>2</sub> enrichment, and vegetation structure variation on hydrological processes in China: Global and Planetary Change, v. 80-81, p. 123-135, https://doi.org/10.1016/j.gloplacha.2011.10.010.","productDescription":"13 p.","startPage":"123","endPage":"135","ipdsId":"IP-028970","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272144,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gloplacha.2011.10.010"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"80-81","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518cc565e4b05ebc8f7cc129","contributors":{"authors":[{"text":"Zhu, Qiuan","contributorId":85065,"corporation":false,"usgs":true,"family":"Zhu","given":"Qiuan","affiliations":[],"preferred":false,"id":473294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Hong","contributorId":33200,"corporation":false,"usgs":true,"family":"Jiang","given":"Hong","affiliations":[],"preferred":false,"id":473292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peng, Changhui","contributorId":8357,"corporation":false,"usgs":true,"family":"Peng","given":"Changhui","affiliations":[],"preferred":false,"id":473291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":473290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fang, Xiuqin","contributorId":96566,"corporation":false,"usgs":true,"family":"Fang","given":"Xiuqin","affiliations":[],"preferred":false,"id":473296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, Xiaohua","contributorId":106775,"corporation":false,"usgs":true,"family":"Wei","given":"Xiaohua","email":"","affiliations":[],"preferred":false,"id":473297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Shirong","contributorId":54484,"corporation":false,"usgs":true,"family":"Liu","given":"Shirong","affiliations":[],"preferred":false,"id":473293,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, Guomo","contributorId":85861,"corporation":false,"usgs":true,"family":"Zhou","given":"Guomo","affiliations":[],"preferred":false,"id":473295,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70042844,"text":"70042844 - 2012 - Hydromechanical effects of continental glaciation on groundwater systems","interactions":[],"lastModifiedDate":"2013-02-26T11:59:47","indexId":"70042844","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1765,"text":"Geofluids","active":true,"publicationSubtype":{"id":10}},"title":"Hydromechanical effects of continental glaciation on groundwater systems","docAbstract":"Hydromechanical effects of continental ice sheets may involve considerably more than the widely recognized direct compression of overridden terrains by ice load. Lithospheric flexure, which lags ice advance and retreat, appears capable of causing comparable or greater stress changes. Together, direct and flexural loading may increase fluid pressures by tens of MPa in geologic units unable to drain. If so, fluid pressures in low-permeability formations subject to glaciation may have increased and decreased repeatedly during cycles of Pleistocene glaciation and can again in the future. Being asynchronous and normally oriented, direct and flexural loading presumably cause normal and shear stresses to evolve in a complex fashion through much or all of a glacial cycle. Simulations of fractured rock predict permeability might vary by two to three orders of magnitude under similar stress changes as fractures at different orientations are subjected to changing normal and shear stresses and some become critically stressed. Uncertainties surrounding these processes and their interactions, and the confounding influences of surface hydrologic changes, make it challenging to delineate their effects on groundwater flow and pressure regimes with any specificity. To date, evidence for hydromechanical changes caused by the last glaciation is sparse and inconclusive, comprising a few pressure anomalies attributed to the removal of direct ice load. This may change as more data are gathered, and understanding of relevant processes is refined.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geofluids","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1468-8123.2011.00347.x","usgsCitation":"Neuzil, C., 2012, Hydromechanical effects of continental glaciation on groundwater systems: Geofluids, v. 12, no. 1, p. 22-37, https://doi.org/10.1111/j.1468-8123.2011.00347.x.","productDescription":"16 p.","startPage":"22","endPage":"37","ipdsId":"IP-027857","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":268370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268369,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1468-8123.2011.00347.x"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-25","publicationStatus":"PW","scienceBaseUri":"53cd61cfe4b0b290850fdbfc","contributors":{"authors":[{"text":"Neuzil, C. E. 0000-0003-2022-4055","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":81078,"corporation":false,"usgs":true,"family":"Neuzil","given":"C. E.","affiliations":[],"preferred":false,"id":472375,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042833,"text":"70042833 - 2012 - Luna B. Leopold--pioneer setting the stage for modern hydrology","interactions":[],"lastModifiedDate":"2013-06-24T12:43:05","indexId":"70042833","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Luna B. Leopold--pioneer setting the stage for modern hydrology","docAbstract":"In 1986, during the first year of graduate school, the lead author was sampling the water from a pitcher pump in front of “The Shack,” the setting of the opening essays in Aldo Leopold's renowned book A Sand County Almanac. The sampling was part of my Master's work that included quarterly monitoring of water quality on the Leopold Memorial Reserve (LMR) near Baraboo, Wisconsin. The Shack was already a well-known landmark, and it was common to come upon visitors and hikers there. As such, I took no special note of the man who approached me as I was filling sample bottles and asked, as was typical, “What are you doing?”","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2012.00994.x","usgsCitation":"Hunt, R.J., and Meine, C., 2012, Luna B. Leopold--pioneer setting the stage for modern hydrology: Ground Water, v. 50, no. 6, p. 966-970, https://doi.org/10.1111/j.1745-6584.2012.00994.x.","productDescription":"5 p.","startPage":"966","endPage":"970","ipdsId":"IP-038760","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":274105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274104,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2012.00994.x"}],"volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-09-26","publicationStatus":"PW","scienceBaseUri":"51c96a69e4b0a50a6e8f5829","contributors":{"authors":[{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meine, Curt","contributorId":38881,"corporation":false,"usgs":true,"family":"Meine","given":"Curt","email":"","affiliations":[],"preferred":false,"id":472365,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044372,"text":"70044372 - 2012 - Hillslope hydrology and stability","interactions":[],"lastModifiedDate":"2018-03-08T15:55:28","indexId":"70044372","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Hillslope hydrology and stability","docAbstract":"Landslides are caused by a failure of the mechanical balance within hillslopes. This balance is governed by two coupled physical processes: hydrological or subsurface flow and stress. The stabilizing strength of hillslope materials depends on effective stress, which is diminished by rainfall. This book presents a cutting-edge quantitative approach to understanding hydro-mechanical processes across variably saturated hillslope environments and to the study and prediction of rainfall-induced landslides. Topics covered include historic synthesis of hillslope geomorphology and hydrology, total and effective stress distributions, critical reviews of shear strength of hillslope materials and different bases for stability analysis. Exercises and homework problems are provided for students to engage with the theory in practice. This is an invaluable resource for graduate students and researchers in hydrology, geomorphology, engineering geology, geotechnical engineering and geomechanics and for professionals in the fields of civil and environmental engineering and natural hazard analysis.","language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge, U.K.","usgsCitation":"Lu, N., and Godt, J., 2012, Hillslope hydrology and stability, 458 p.","productDescription":"458 p.","ipdsId":"IP-038719","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":268907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268906,"type":{"id":15,"text":"Index Page"},"url":"https://www.cambridge.org/us/knowledge/isbn/item6885007/?site_locale=en_US"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5139c4f7e4b09608cc166b28","contributors":{"authors":[{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":475391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godt, Jonathan","contributorId":53431,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","affiliations":[],"preferred":false,"id":475392,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043339,"text":"70043339 - 2012 - Directional connectivity in hydrology and ecology","interactions":[],"lastModifiedDate":"2013-04-25T12:12:57","indexId":"70043339","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Directional connectivity in hydrology and ecology","docAbstract":"Quantifying hydrologic and ecological connectivity has contributed to understanding transport and dispersal processes and assessing ecosystem degradation or restoration potential. However, there has been little synthesis across disciplines. The growing field of ecohydrology and recent recognition that loss of hydrologic connectivity is leading to a global decline in biodiversity underscore the need for a unified connectivity concept. One outstanding need is a way to quantify directional connectivity that is consistent, robust to variations in sampling, and transferable across scales or environmental settings. Understanding connectivity in a particular direction (e.g., streamwise, along or across gradient, between sources and sinks, along cardinal directions) provides critical information for predicting contaminant transport, planning conservation corridor design, and understanding how landscapes or hydroscapes respond to directional forces like wind or water flow. Here we synthesize progress on quantifying connectivity and develop a new strategy for evaluating directional connectivity that benefits from use of graph theory in ecology and percolation theory in hydrology. The directional connectivity index (DCI) is a graph-theory based, multiscale metric that is generalizable to a range of different structural and functional connectivity applications. It exhibits minimal sensitivity to image rotation or resolution within a given range and responds intuitively to progressive, unidirectional change. Further, it is linearly related to the integral connectivity scale length—a metric common in hydrology that correlates well with actual fluxes—but is less computationally challenging and more readily comparable across different landscapes. Connectivity-orientation curves (i.e., directional connectivity computed over a range of headings) provide a quantitative, information-dense representation of environmental structure that can be used for comparison or detection of subtle differences in the physical-biological feedbacks driving pattern formation. Case-study application of the DCI to the Everglades in south Florida revealed that loss of directional hydrologic connectivity occurs more rapidly and is a more sensitive indicator of declining ecosystem function than other metrics (e.g., habitat area) used previously. Here and elsewhere, directional connectivity can provide insight into landscape drivers and processes, act as an early-warning indicator of environmental degradation, and serve as a planning tool or performance measure for conservation and restoration efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","doi":"10.1890/11-1948.1","usgsCitation":"Larsen, L., Choi, J., Nungesser, M.K., and Harvey, J.W., 2012, Directional connectivity in hydrology and ecology: Ecological Applications, v. 22, no. 8, p. 2204-2220, https://doi.org/10.1890/11-1948.1.","productDescription":"17 p.","startPage":"2204","endPage":"2220","ipdsId":"IP-037690","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":271469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271468,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1948.1"}],"volume":"22","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517a5069e4b072c16ef14b1e","contributors":{"authors":[{"text":"Larsen, Laurel G.","contributorId":42111,"corporation":false,"usgs":true,"family":"Larsen","given":"Laurel G.","affiliations":[],"preferred":false,"id":473426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Jungyill","contributorId":70792,"corporation":false,"usgs":true,"family":"Choi","given":"Jungyill","email":"","affiliations":[],"preferred":false,"id":473428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nungesser, Martha K.","contributorId":43254,"corporation":false,"usgs":true,"family":"Nungesser","given":"Martha","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":473427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044357,"text":"70044357 - 2012 - Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model","interactions":[],"lastModifiedDate":"2013-04-09T14:54:58","indexId":"70044357","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model","docAbstract":"Improved predictions of hyporheic exchange based on easily measured physical variables are needed to improve assessment of solute transport and reaction processes in watersheds. Here we compare physically based model predictions for an Indiana stream with stream tracer results interpreted using the Transient Storage Model (TSM). We parameterized the physically based, Multiscale Model (MSM) of stream-groundwater interactions with measured stream planform and discharge, stream velocity, streambed hydraulic conductivity and porosity, and topography of the streambed at distinct spatial scales (i.e., ripple, bar, and reach scales). We predicted hyporheic exchange fluxes and hyporheic residence times using the MSM. A Continuous Time Random Walk (CTRW) model was used to convert the MSM output into predictions of in stream solute transport, which we compared with field observations and TSM parameters obtained by fitting solute transport data. MSM simulations indicated that surface-subsurface exchange through smaller topographic features such as ripples was much faster than exchange through larger topographic features such as bars. However, hyporheic exchange varies nonlinearly with groundwater discharge owing to interactions between flows induced at different topographic scales. MSM simulations showed that groundwater discharge significantly decreased both the volume of water entering the subsurface and the time it spent in the subsurface. The MSM also characterized longer timescales of exchange than were observed by the tracer-injection approach. The tracer data, and corresponding TSM fits, were limited by tracer measurement sensitivity and uncertainty in estimates of background tracer concentrations. Our results indicate that rates and patterns of hyporheic exchange are strongly influenced by a continuum of surface-subsurface hydrologic interactions over a wide range of spatial and temporal scales rather than discrete processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1029/2011WR011582","usgsCitation":"Stonedahl, S.H., Harvey, J.W., Detty, J., Aubeneau, A., and Packman, A., 2012, Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model: Water Resources Research, v. 48, no. 10, W10513, https://doi.org/10.1029/2011WR011582.","productDescription":"W10513","ipdsId":"IP-040699","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011582","text":"Publisher Index Page"},{"id":270711,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011582"},{"id":270712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-10-06","publicationStatus":"PW","scienceBaseUri":"51653871e4b077fa94dae00c","contributors":{"authors":[{"text":"Stonedahl, Susa H.","contributorId":66145,"corporation":false,"usgs":true,"family":"Stonedahl","given":"Susa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":475365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Detty, Joel","contributorId":12347,"corporation":false,"usgs":true,"family":"Detty","given":"Joel","email":"","affiliations":[],"preferred":false,"id":475362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aubeneau, Antoine","contributorId":44057,"corporation":false,"usgs":true,"family":"Aubeneau","given":"Antoine","email":"","affiliations":[],"preferred":false,"id":475364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Packman, Aaron I.","contributorId":15092,"corporation":false,"usgs":true,"family":"Packman","given":"Aaron I.","affiliations":[],"preferred":false,"id":475363,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042783,"text":"sir20125279 - 2012 - Quality of streams in Johnson County, Kansas, 2002--10","interactions":[],"lastModifiedDate":"2013-01-23T14:46:07","indexId":"sir20125279","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5279","title":"Quality of streams in Johnson County, Kansas, 2002--10","docAbstract":"Stream quality in Johnson County, northeastern Kansas, was assessed on the basis of land use, hydrology, stream-water and streambed-sediment chemistry, riparian and in-stream habitat, and periphyton and macroinvertebrate community data collected from 22 sites during 2002 through 2010. Stream conditions at the end of the study period are evaluated and compared to previous years, stream biological communities and physical and chemical conditions are characterized, streams are described relative to Kansas Department of Health and Environment impairment categories and water-quality standards, and environmental factors that most strongly correlate with biological stream quality are evaluated. The information is useful for improving water-quality management programs, documenting changing conditions with time, and evaluating compliance with water-quality standards, total maximum daily loads (TMDLs), National Pollutant Discharge Elimination System (NPDES) permit conditions, and other established guidelines and goals. Constituent concentrations in water during base flow varied across the study area and 2010 conditions were not markedly different from those measured in 2003, 2004, and 2007. Generally the highest specific conductance and concentrations of dissolved solids and major ions in water occurred at urban sites except the upstream Cedar Creek site, which is rural and has a large area of commercial and industrial land less than 1 mile upstream on both sides of the creek. The highest base-flow nutrient concentrations in water occurred downstream from wastewater treatment facilities. Water chemistry data represent base-flow conditions only, and do not show the variability in concentrations that occurs during stormwater runoff. Constituent concentrations in streambed sediment also varied across the study area and some notable changes occurred from previously collected data. High organic carbon and nutrient concentrations at the rural Big Bull Creek site in 2003 decreased to at least one-fourth of those concentrations in 2007 and 2010 likely because of the reduction in upstream wastewater discharge contributions. The highest concentrations of trace metals in 2010 occurred at urban sites on Mill and Indian Creeks. Zinc was the only metal to exceed the probable effects concentration in 2010, which occurred at a site on Indian Creek. In 2007, chromium and nickel at the upstream urban Cedar Creek site exceeded the probable effects concentrations, and in 2003, no metals exceeded the probable effects concentrations. Of 72 organic compounds analyzed in streambed sediment, 26 were detected including pesticides, polycyclic aromatic hydrocarbons (PAHs), fuel products, fragrances, preservatives, plasticizers, manufacturing byproducts, flame retardants, and disinfectants. All 6 PAH compounds analyzed were detected, and the probable effects concentrations for 4 of the 6 PAH compounds analyzed were exceeded in 2010. Only five pesticide compounds were detected in streambed sediment, including carbazole and four pyrethroid compounds. Chronic toxicity guidelines for pyrethroid compounds were exceeded at five sites. Biological conditions reflected a gradient in urban land use, with the less disturbed streams located in rural areas of Johnson County. About 19 percent of sites in 2010 (four sites) were fully supporting of aquatic life on the basis of the four metrics used by Kansas Department of Health and Environment to categorize sites. This is a notable difference compared to previous years when no sites (in 2003 and 2004) or just one site (in 2007) was fully supporting of aquatic life. Multimetric macroinvertebrate scores improved at the Big Bull Creek site where wastewater discharges were reduced in 2007. Environmental variables that consistently were highly negatively correlated with biological conditions were percent impervious surface and percent urban land use. In addition, density of stormwater outfall points adjacent to streams was significantly negatively correlated with biological conditions. Specific conductance of water and sum of PAH concentrations in streambed sediment also were significantly negatively correlated with biological conditions. Total nitrogen in water and total phosphorus in streambed sediment were correlated with most of the invertebrate variables, which is a notable difference from previous analyses using smaller datasets, in which nutrient relations were weak or not detected. The most important habitat variables were sinuosity, length and continuity of natural buffers, riffle substrate embeddedness, and substrate cover diversity, each of which was correlated with all invertebrate metrics including a 10-metric combined score. Correlation analysis indicated that if riparian and in-stream habitat conditions improve then so might invertebrate communities and stream biological quality. Sixty-two percent of the variance in macroinvertebrate community metrics was explained by the single environmental factor, percent impervious surface. Invertebrate responses to urbanization in Johnson County indicated linearity rather than identifiable thresholds. Multiple linear regression models developed for each of the four macroinvertebrate metrics used to determine aquatic-life-support status indicated that percent impervious surface, as a measure of urban land use, explained 34 to 67 percent of the variability in biological communities. Results indicate that although multiple factors are correlated with stream quality degradation, general urbanization, as indicated by impervious surface area or urban land use, consistently is determined to be the fundamental factor causing change in stream quality. Effects of urbanization on Johnson County streams are similar to effects described in national studies that assess effects of urbanization on stream health. Individually important environmental factors such as specific conductance of water, PAHs in streambed sediment, and stream buffer conditions, are affected by urbanization and, collectively, all contribute to stream impairments. Policies and management practices that may be most important in protecting the health of streams in Johnson County are those minimizing the effects of impervious surface, protecting stream corridors, and decreasing the loads of sediment, nutrients, and toxic chemicals that directly enter streams through stormwater runoff and discharges.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125279","collaboration":"Prepared in cooperation with the Johnson County Stormwater Management Program","usgsCitation":"Rasmussen, T.J., Stone, M.S., Poulton, B.C., and Graham, J.L., 2012, Quality of streams in Johnson County, Kansas, 2002--10: U.S. Geological Survey Scientific Investigations Report 2012-5279, vii, 103 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125279.","productDescription":"vii, 103 p.; col. ill.; maps (col.)","startPage":"i","endPage":"103","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2002-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":266322,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5279/sir12_5279.pdf"},{"id":266320,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5279/"},{"id":266323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR_2012_5279.GIF"}],"country":"United States","state":"Kansas","county":"Johnson County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.0565,38.7376 ], [ -95.0565,39.0616 ], [ -94.6074,39.0616 ], [ -94.6074,38.7376 ], [ -95.0565,38.7376 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5101147be4b033b1feeb2c08","contributors":{"authors":[{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":472256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Mandy S.","contributorId":97791,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":472257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":472255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472254,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045588,"text":"70045588 - 2012 - Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study","interactions":[],"lastModifiedDate":"2021-01-05T18:01:12.044462","indexId":"70045588","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study","docAbstract":"We modeled the hydrology of basins draining into the northern portion of the San Francisco Bay Estuary (North San Pablo Bay) using a regional water balance model (Basin Characterization Model; BCM) to estimate potential effects of climate change at the watershed scale. The BCM calculates water balance components, including runoff, recharge, evapotranspiration, soil moisture, and stream flow, based on climate, topography, soils and underlying geology, and the solar-driven energy balance. We downscaled historical and projected precipitation and air temperature values derived from weather stations and global General Circulation Models (GCMs) to a spatial scale of 270 m. We then used the BCM to estimate hydrologic response to climate change for four scenarios spanning this century (2000–2100). Historical climate patterns show that Marin’s coastal regions are typically on the order of 2 °C cooler and receive five percent more precipitation compared to the inland valleys of Sonoma and Napa because of marine influences and local topography. By the last 30 years of this century, North Bay scenarios project average minimum temperatures to increase by 1.0 °C to 3.1 °C and average maximum temperatures to increase by 2.1 °C to 3.4 °C (in comparison to conditions experienced over the last 30 years, 1981–2010). Precipitation projections for the 21st century vary between GCMs (ranging from 2 to 15% wetter than the 20th-century average). Temperature forcing increases the variability of modeled runoff, recharge, and stream discharge, and shifts hydrologic cycle timing. For both high- and low-rainfall scenarios, by the close of this century warming is projected to amplify late-season climatic water deficit (a measure of drought stress on soils) by 8% to 21%. Hydrologic variability within a single river basin demonstrated at the scale of subwatersheds may prove an important consideration for water managers in the face of climate change. Our results suggest that in arid environments characterized by high topo-climatic variability, land and water managers need indicators of local watershed hydrology response to complement regional temperature and precipitation estimates. Our results also suggest that temperature forcing may generate greater drought stress affecting soils and stream flows than can be estimated by variability in precipitation alone.","language":"English","publisher":"University of California","doi":"10.15447/sfews.2012v10iss4art2","usgsCitation":"Micheli, E., Flint, L., Flint, A., Weiss, S., and Kennedy, M., 2012, Downscaling future climate projections to the watershed scale: A north San Francisco Bay estuary case study: San Francisco Estuary and Watershed Science, v. 10, no. 4, 31 p., https://doi.org/10.15447/sfews.2012v10iss4art2.","productDescription":"31 p.","ipdsId":"IP-028558","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":474239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2012v10iss4art2","text":"Publisher Index Page"},{"id":381884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0,37.0 ], [ -123.0,38.5 ], [ -121.5,38.5 ], [ -121.5,37.0 ], [ -123.0,37.0 ] ] ] } } ] }","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-12-05","publicationStatus":"PW","scienceBaseUri":"51838ae6e4b0a21483941a8e","contributors":{"authors":[{"text":"Micheli, Elisabeth","contributorId":105615,"corporation":false,"usgs":true,"family":"Micheli","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":477892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":97753,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","affiliations":[],"preferred":false,"id":477891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Alan","contributorId":58503,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"","affiliations":[],"preferred":false,"id":477889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiss, Stuart","contributorId":7590,"corporation":false,"usgs":true,"family":"Weiss","given":"Stuart","email":"","affiliations":[],"preferred":false,"id":477888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Morgan","contributorId":77446,"corporation":false,"usgs":true,"family":"Kennedy","given":"Morgan","email":"","affiliations":[],"preferred":false,"id":477890,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043864,"text":"70043864 - 2012 - A national geographic framework for guiding conservation on a landscape scale","interactions":[],"lastModifiedDate":"2013-02-26T13:22:11","indexId":"70043864","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A national geographic framework for guiding conservation on a landscape scale","docAbstract":"The U.S. Fish and Wildlife Service, along with the global conservation community, has recognized that the conservation challenges of the 21st century far exceed the responsibilities and footprint of any individual agency or program. The ecological effects of climate change and other anthropogenic stressors do not recognize geopolitical boundaries and, as such, demand a national geographic framework to provide structure for cross-jurisdictional and landscape-scale conservation strategies. In 2009, a new map of ecologically based conservation regions in which to organize capacity and implement strategic habitat conservation was developed using rapid prototyping and expert elicitation by an interagency team of U.S. Fish and Wildlife Service and U.S. Geological Survey scientists and conservation professionals. Incorporating Bird Conservation Regions, Freshwater Ecoregions, and U.S. Geological Survey hydrologic unit codes, the new geographic framework provides a spatial template for building conservation capacity and focusing biological planning and conservation design efforts. The Department of Interior's Landscape Conservation Cooperatives are being organized in these new conservation regions as multi-stakeholder collaborations for improved conservation science and management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish and Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Arlington, VA","doi":"10.3996/052011-JFWM-030","usgsCitation":"Millard, M.J., Czarnecki, C.A., Morton, J.M., Brandt, L., Briggs, J., Shipley, F.S., Sayre, R.G., Sponholtz, P.J., Perkins, D., Simpkins, D.G., and Taylor, J., 2012, A national geographic framework for guiding conservation on a landscape scale: Journal of Fish and Wildlife Management, v. 3, no. 1, p. 175-183, https://doi.org/10.3996/052011-JFWM-030.","productDescription":"9 p.","startPage":"175","endPage":"183","ipdsId":"IP-029673","costCenters":[{"id":529,"text":"Pacific Southwest Regional Executive Office","active":false,"usgs":true}],"links":[{"id":268390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268389,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3996/052011-JFWM-030"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"3","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4a22e4b0b290850ef964","contributors":{"authors":[{"text":"Millard, Michael J.","contributorId":23411,"corporation":false,"usgs":false,"family":"Millard","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":474333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czarnecki, Craig A.","contributorId":73086,"corporation":false,"usgs":true,"family":"Czarnecki","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, John M.","contributorId":17097,"corporation":false,"usgs":true,"family":"Morton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura A.","contributorId":18608,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":474332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Jennifer S.","contributorId":101167,"corporation":false,"usgs":true,"family":"Briggs","given":"Jennifer S.","affiliations":[],"preferred":false,"id":474337,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shipley, Frank S. frank_shipley@usgs.gov","contributorId":3804,"corporation":false,"usgs":true,"family":"Shipley","given":"Frank","email":"frank_shipley@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":474329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sayre, Roger G. rsayre@usgs.gov","contributorId":2882,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","email":"rsayre@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":false,"id":474328,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sponholtz, Pamela J.","contributorId":51176,"corporation":false,"usgs":true,"family":"Sponholtz","given":"Pamela","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474334,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perkins, David","contributorId":102357,"corporation":false,"usgs":true,"family":"Perkins","given":"David","affiliations":[],"preferred":false,"id":474338,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Simpkins, Darin G.","contributorId":10892,"corporation":false,"usgs":true,"family":"Simpkins","given":"Darin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":474330,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Taylor, Janith","contributorId":66832,"corporation":false,"usgs":true,"family":"Taylor","given":"Janith","affiliations":[],"preferred":false,"id":474335,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70042756,"text":"70042756 - 2012 - A process-based hierarchical framework for monitoring glaciated alpine headwaters","interactions":[],"lastModifiedDate":"2013-02-26T19:44:28","indexId":"70042756","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A process-based hierarchical framework for monitoring glaciated alpine headwaters","docAbstract":"Recent studies have demonstrated the geomorphic complexity and wide range of hydrologic regimes found in alpine headwater channels that provide complex habitats for aquatic taxa. These geohydrologic elements are fundamental to better understand patterns in species assemblages and indicator taxa and are necessary to aquatic monitoring protocols that aim to track changes in physical conditions. Complex physical variables shape many biological and ecological traits, including life history strategies, but these mechanisms can only be understood if critical physical variables are adequately represented within the sampling framework. To better align sampling design protocols with current geohydrologic knowledge, we present a conceptual framework that incorporates regional-scale conditions, basin-scale longitudinal profiles, valley-scale glacial macroform structure, valley segment-scale (i.e., colluvial, alluvial, and bedrock), and reach-scale channel types. At the valley segment- and reach-scales, these hierarchical levels are associated with differences in streamflow and sediment regime, water source contribution and water temperature. Examples of linked physical-ecological hypotheses placed in a landscape context and a case study using the proposed framework are presented to demonstrate the usefulness of this approach for monitoring complex temporal and spatial patterns and processes in glaciated basins. This approach is meant to aid in comparisons between mountain regions on a global scale and to improve management of potentially endangered alpine species affected by climate change and other stressors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00267-012-9957-8","usgsCitation":"Weekes, A.A., Torgersen, C., Montgomery, D.R., Woodward, A., and Bolton, S.M., 2012, A process-based hierarchical framework for monitoring glaciated alpine headwaters: Environmental Management, v. 50, no. 6, p. 982-997, https://doi.org/10.1007/s00267-012-9957-8.","productDescription":"18 p.","startPage":"982","endPage":"997","ipdsId":"IP-030293","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":268422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268421,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-012-9957-8"}],"volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-12","publicationStatus":"PW","scienceBaseUri":"53cd4a5be4b0b290850efb8a","contributors":{"authors":[{"text":"Weekes, Anne A.","contributorId":11870,"corporation":false,"usgs":true,"family":"Weekes","given":"Anne","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":472168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":472169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montgomery, David R.","contributorId":67389,"corporation":false,"usgs":true,"family":"Montgomery","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":472170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":472167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bolton, Susan M.","contributorId":76987,"corporation":false,"usgs":true,"family":"Bolton","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472171,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043908,"text":"70043908 - 2012 - Drought drove forest decline and dune building in eastern upper Michigan, USA, as the upper Great Lakes became closed basins","interactions":[],"lastModifiedDate":"2013-05-02T15:12:05","indexId":"70043908","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Drought drove forest decline and dune building in eastern upper Michigan, USA, as the upper Great Lakes became closed basins","docAbstract":"Current models of landscape response to Holocene climate change in midcontinent North America largely reconcile Earth orbital and atmospheric climate forcing with pollen-based forest histories on the east and eolian chronologies in Great Plains grasslands on the west. However, thousands of sand dunes spread across 12,000 km<sup>2</sup> in eastern upper Michigan (EUM), more than 500 km east of the present forest-prairie ecotone, present a challenge to such models. We use 65 optically stimulated luminescence (OSL) ages on quartz sand deposited in silt caps (n = 8) and dunes (n = 57) to document eolian activity in EUM. Dune building was widespread ca. 10–8 ka, indicating a sharp, sustained decline in forest cover during that period. This decline was roughly coincident with hydrologic closure of the upper Great Lakes, but temporally inconsistent with most pollen-based models that imply canopy closure throughout the Holocene. Early Holocene forest openings are rarely recognized in pollen sums from EUM because faint signatures of non-arboreal pollen are largely obscured by abundant and highly mobile pine pollen. Early Holocene spikes in nonarboreal pollen are recorded in cores from small ponds, but suggest only a modest extent of forest openings. OSL dating of dune emplacement provides a direct, spatially explicit archive of greatly diminished forest cover during a very dry climate in eastern midcontinent North America ca. 10–8 ka.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"GSA","doi":"10.1130/G32937.1","usgsCitation":"Loope, W.L., Loope, H.M., Goble, R.J., Fisher, T.G., Lytle, D.E., Legg, R.J., Wysocki, D., Hanson, P.R., and Young, A., 2012, Drought drove forest decline and dune building in eastern upper Michigan, USA, as the upper Great Lakes became closed basins: Geology, v. 40, no. 4, p. 315-318, https://doi.org/10.1130/G32937.1.","productDescription":"4 p.","startPage":"315","endPage":"318","ipdsId":"IP-028146","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":271774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271773,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G32937.1"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"40","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-02-28","publicationStatus":"PW","scienceBaseUri":"51838ae8e4b0a21483941a9d","contributors":{"authors":[{"text":"Loope, Walter L. wloope@usgs.gov","contributorId":4616,"corporation":false,"usgs":true,"family":"Loope","given":"Walter","email":"wloope@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":474439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loope, Henry M.","contributorId":79381,"corporation":false,"usgs":true,"family":"Loope","given":"Henry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goble, Ronald J.","contributorId":61319,"corporation":false,"usgs":true,"family":"Goble","given":"Ronald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Timothy G.","contributorId":45659,"corporation":false,"usgs":true,"family":"Fisher","given":"Timothy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":474443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lytle, David E. dlytle@usgs.gov","contributorId":343,"corporation":false,"usgs":true,"family":"Lytle","given":"David","email":"dlytle@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":474438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Legg, Robert J.","contributorId":30527,"corporation":false,"usgs":true,"family":"Legg","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wysocki, Douglas A.","contributorId":61320,"corporation":false,"usgs":true,"family":"Wysocki","given":"Douglas A.","affiliations":[],"preferred":false,"id":474445,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanson, Paul R.","contributorId":35214,"corporation":false,"usgs":true,"family":"Hanson","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474442,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Young, Aaron R.","contributorId":12353,"corporation":false,"usgs":true,"family":"Young","given":"Aaron R.","affiliations":[],"preferred":false,"id":474440,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70045532,"text":"70045532 - 2012 - Linking soil moisture balance and source-responsive models to estimate diffuse and preferential components of groundwater recharge","interactions":[],"lastModifiedDate":"2013-06-24T10:35:07","indexId":"70045532","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Linking soil moisture balance and source-responsive models to estimate diffuse and preferential components of groundwater recharge","docAbstract":"Results are presented of a detailed study into the vadose zone and shallow water table hydrodynamics of a field site in Shropshire, UK. A conceptual model is developed and tested using a range of numerical models, including a modified soil moisture balance model (SMBM) for estimating groundwater recharge in the presence of both diffuse and preferential flow components. Tensiometry reveals that the loamy sand topsoil wets up via macropore flow and subsequent redistribution of moisture into the soil matrix. Recharge does not occur until near-positive pressures are achieved at the top of the sandy glaciofluvial outwash material that underlies the topsoil, about 1 m above the water table. Once this occurs, very rapid water table rises follow. This threshold behaviour is attributed to the vertical discontinuity in the macropore system due to seasonal ploughing of the topsoil, and a lower permeability plough/iron pan restricting matrix flow between the topsoil and the lower outwash deposits. Although the wetting process in the topsoil is complex, a SMBM is shown to be effective in predicting the initiation of preferential flow from the base of the topsoil into the lower outwash horizon. The rapidity of the response at the water table and a water table rise during the summer period while flow gradients in the unsaturated profile were upward suggest that preferential flow is also occurring within the outwash deposits below the topsoil. A variation of the source-responsive model proposed by Nimmo (2010) is shown to reproduce the observed water table dynamics well in the lower outwash horizon when linked to a SMBM that quantifies the potential recharge from the topsoil. The results reveal new insights into preferential flow processes in cultivated soils and provide a useful and practical approach to accounting for preferential flow in studies of groundwater recharge estimation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrology and Earth System Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/hessd-9-8455-2012","usgsCitation":"Cuthbert, M., Mackay, R., and Nimmo, J., 2012, Linking soil moisture balance and source-responsive models to estimate diffuse and preferential components of groundwater recharge: Hydrology and Earth System Sciences, v. 9, p. 8455-8492, https://doi.org/10.5194/hessd-9-8455-2012.","productDescription":"38 p.","startPage":"8455","endPage":"8492","ipdsId":"IP-045040","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":488176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hessd-9-8455-2012","text":"Publisher Index Page"},{"id":274092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274091,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hessd-9-8455-2012"}],"country":"United Kingdom","county":"Shropshire County","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c96a68e4b0a50a6e8f5814","contributors":{"authors":[{"text":"Cuthbert, M.O.","contributorId":94577,"corporation":false,"usgs":true,"family":"Cuthbert","given":"M.O.","email":"","affiliations":[],"preferred":false,"id":477768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mackay, R.","contributorId":43545,"corporation":false,"usgs":true,"family":"Mackay","given":"R.","email":"","affiliations":[],"preferred":false,"id":477766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nimmo, J. R. 0000-0001-8191-1727","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":58304,"corporation":false,"usgs":true,"family":"Nimmo","given":"J. R.","affiliations":[],"preferred":false,"id":477767,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043498,"text":"70043498 - 2012 - A half-million-year record of paleoclimate from the Lake Manix Core, Mojave Desert, California","interactions":[],"lastModifiedDate":"2013-02-26T19:08:39","indexId":"70043498","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"A half-million-year record of paleoclimate from the Lake Manix Core, Mojave Desert, California","docAbstract":"Pluvial lakes in the southwestern U.S. responded sensitively to past climate through effects on rainfall, runoff, and evaporation. Although most studies agree that pluvial lakes in the southwestern U.S. reached their highest levels coeval with glacial stages, the specific timing of increased effective moisture and lake-level rise is debated, particularly for the southwesternmost lakes. We obtained a 45-m core of lacustrine sediment from Lake Manix, the former terminus of the Mojave River prior to about 25 ka, and supplemented data from the core with outcrop studies. These sediments provide a robust record of Mojave River discharge over the last half-million years. Lake Manix persisted from OIS 12 through early OIS 2, including during interstadial OIS 3 and interglacials OIS 5, 7, and 9. The ostracode faunal record displays a shift from an unexpectedly warm, summer-dominated lake hydrology during OIS 12 to predominantly colder, winter-dominated conditions afterwards. The ostracode-based stable isotope record displays a large degree of intra-sample variability and does not mimic other well-known isotopic records of climate change. Evaporation likely buffered the Manix δ<sup>18</sup>O record from most of the expected isotopic differences between interglacial and glacial-interval discharge. Isotopically depleted and stable lakes occurred only four to six times, most notably during OIS 7 and OIS 9. Internal drainage-basin changes also affected the isotopic record. Persistence of lakes in the Manix basin during interglacials requires atmospheric or oceanic circulation controls on the mean position of the Pacific storm track other than large ice sheets. We propose that the relative strength and sign of the Northern Annular Mode (NAM) and its influence on atmospheric river-derived precipitation is a potential explanation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaeogeography, Palaeoclimatology, Palaeoecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.palaeo.2012.09.002","usgsCitation":"Reheis, M., Bright, J., Lund, S.P., Miller, D., Skipp, G., and Fleck, R.J., 2012, A half-million-year record of paleoclimate from the Lake Manix Core, Mojave Desert, California: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 365-366, p. 11-37, https://doi.org/10.1016/j.palaeo.2012.09.002.","productDescription":"27 p.","startPage":"11","endPage":"37","ipdsId":"IP-035363","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":268419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267357,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2012.09.002"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.98,34.16 ], [ -117.98,37.52 ], [ -114.73,37.52 ], [ -114.73,34.16 ], [ -117.98,34.16 ] ] ] } } ] }","volume":"365-366","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd49ece4b0b290850ef770","contributors":{"authors":[{"text":"Reheis, Marith C. 0000-0002-8359-323X","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":101244,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith C.","affiliations":[],"preferred":false,"id":473716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bright, Jordon","contributorId":76010,"corporation":false,"usgs":true,"family":"Bright","given":"Jordon","affiliations":[],"preferred":false,"id":473715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, Steve P.","contributorId":103944,"corporation":false,"usgs":true,"family":"Lund","given":"Steve","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":473717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":473713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skipp, Gary","contributorId":6458,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","affiliations":[],"preferred":false,"id":473714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":473712,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191838,"text":"70191838 - 2012 - Monitoring subsurface hydrologic response for precipitation-induced shallow landsliding in the San Francisco Bay area, California, USA","interactions":[],"lastModifiedDate":"2017-12-15T13:19:15","indexId":"70191838","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Monitoring subsurface hydrologic response for precipitation-induced shallow landsliding in the San Francisco Bay area, California, USA","docAbstract":"Intense winter storms in the San Francisco Bay area (SFBA) of California, USA often trigger shallow landslides. Some of these landslides mobilize into potentially hazardous debris flows. A growing body of research indicates that rainfall intensity-duration thresholds are insufficient for accurate prediction of landslide occurrence. In response, we have begun long-term monitoring of the hydrologic response of land-slide-prone hillslopes to rainfall in several areas of the SFBA. Each monitoring site is equipped with sensors for measuring soil moisture content and piezometric pressure at several soil depths along with a rain gauge connected to a cell phone or satellite telemetered data logger. The data are transmitted in near-real-time, providing the ability to monitor hydrologic conditions before, during, and after storms. Results are guiding the establishment of both antecedent and storm-specific rainfall and moisture content thresholds which must be achieved before landslide-causative positive pore water pressures are generated. Although widespread shallow landsliding has not yet occurred since the deployment of the monitoring sites, several isolated land-slides have been observed in the area of monitoring. The landslides occurred during a period when positive pore water pressures were measured as a result of intense rainfall that followed higher-than-average season precipitation totals. Continued monitoring and analysis will further guide the establishment of more general-ized thresholds for different regions of the SFBA and contribute to the development and calibration of physi-cally-based predictive models.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslides and engineered slopes: Protecting society through improved understanding, Proceedings of the 11th International Symposium on Landslides","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"11th International Symposium on Landslides","language":"English","usgsCitation":"Collins, B.D., Stock, J.D., Weber, L.C., Whitman, K., and Knepprath, N., 2012, Monitoring subsurface hydrologic response for precipitation-induced shallow landsliding in the San Francisco Bay area, California, USA, <i>in</i> Landslides and engineered slopes: Protecting society through improved understanding, Proceedings of the 11th International Symposium on Landslides, p. 1249-1255.","productDescription":"7 p.","startPage":"1249","endPage":"1255","ipdsId":"IP-035594","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":350039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61053ee4b06e28e9c25518","contributors":{"authors":[{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stock, Jonathan D. 0000-0001-8565-3577 jstock@usgs.gov","orcid":"https://orcid.org/0000-0001-8565-3577","contributorId":3648,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan","email":"jstock@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Lisa C.","contributorId":124586,"corporation":false,"usgs":true,"family":"Weber","given":"Lisa","email":"","middleInitial":"C.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":713310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, K.","contributorId":197364,"corporation":false,"usgs":false,"family":"Whitman","given":"K.","email":"","affiliations":[],"preferred":false,"id":713311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knepprath, N.","contributorId":197365,"corporation":false,"usgs":false,"family":"Knepprath","given":"N.","email":"","affiliations":[],"preferred":false,"id":713312,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
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