{"pageNumber":"1776","pageRowStart":"44375","pageSize":"25","recordCount":184660,"records":[{"id":99029,"text":"fs20113008 - 2011 - Understanding risk and resilience to natural hazards","interactions":[],"lastModifiedDate":"2012-02-02T00:05:14","indexId":"fs20113008","displayToPublicDate":"2011-02-08T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3008","title":"Understanding risk and resilience to natural hazards","docAbstract":"Natural hazards threaten the safety and economic wellbeing of communities. These hazards include sudden-onset hazards, such as earthquakes, and slowly emerging, chronic hazards, such as those associated with climate change. To help public officials, emergency and other managers, the business community, and at-risk individuals reduce the risks posed by such hazards, the USGS Western Geographic Science Center is developing new ways to assess and communicate societal risk and resilience to catastrophic and chronic natural hazards. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20113008","collaboration":"RESEARCH AT THE USGS WESTERN GEOGRAPHIC SCIENCE CENTER\r\n","usgsCitation":"Wood, N., 2011, Understanding risk and resilience to natural hazards: U.S. Geological Survey Fact Sheet 2011-3008, 2 p., https://doi.org/10.3133/fs20113008.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":126202,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3008.gif"},{"id":14469,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3008/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f661","contributors":{"authors":[{"text":"Wood, Nathan 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":71151,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":307322,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99036,"text":"ofr20101327 - 2011 - Detecting Cheatgrass on the Colorado Plateau using Landsat data: A tutorial for the DESI software","interactions":[],"lastModifiedDate":"2012-02-02T00:05:15","indexId":"ofr20101327","displayToPublicDate":"2011-02-08T00:00:00","publicationYear":"2011","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":"2010-1327","title":"Detecting Cheatgrass on the Colorado Plateau using Landsat data: A tutorial for the DESI software","docAbstract":"Invasive plant species disrupt native ecosystems and cause economic harm to public lands. In this report, an example of applying the Detection of Early Season Invasives software to mapping cheatgrass infestations is given. A discussion of each step of the DESI process is given, including selection of Landsat images. Tutorial data, covering a semi-arid area in southern Utah, are distributed with this report. Tips on deriving the inputs required to run DESI are provided. An approach for evaluating and adjusting detection parameters by examining interim products of DESI is discussed. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101327","usgsCitation":"Kokaly, R., 2011, Detecting Cheatgrass on the Colorado Plateau using Landsat data: A tutorial for the DESI software: U.S. Geological Survey Open-File Report 2010-1327, vii, 81 p.; Appendices; Downloads Directory, https://doi.org/10.3133/ofr20101327.","productDescription":"vii, 81 p.; Appendices; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126203,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1327.bmp"},{"id":14476,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1327/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667b22","contributors":{"authors":[{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":307348,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99026,"text":"sir20105063 - 2011 - Low flow of streams in the Susquehanna River basin of New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sir20105063","displayToPublicDate":"2011-02-05T00:00:00","publicationYear":"2011","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":"2010-5063","title":"Low flow of streams in the Susquehanna River basin of New York","docAbstract":"The principal source of streamflow during periods of low flow in the Susquehanna River basin of New York is the discharge of groundwater from sand-and-gravel deposits. Spatial variation in low flow is mostly a function of differences in three watershed properties: the amount of water that is introduced to the watershed and available for runoff, the extent of surficial sand and gravel relative to till-mantled bedrock, and the extent of wetlands. These three properties were consistently significant in regression equations that were developed to estimate several indices of low flow expressed in cubic feet per second or in cubic feet per second per square mile. The equations explain 90 to 99 percent of the spatial variation in low flow. A few equations indicate that underflow that bypasses streamflow-measurement sites through permeable sand and gravel can significantly decrease low flows. Analytical and numerical groundwater-flow models indicate that spatial extent, hydraulic conductivity and thickness, storage capacity, and topography of stratified sandand- gravel deposits affect low-flow yields from those deposits. Model-simulated discharge of groundwater to streams at low flow reaches a maximum where hydraulic-conductivity values are about 15 feet per day (in valleys 0.5 mile wide) to 60 feet per day (in valleys 1 mile wide). These hydraulic-conductivity values are much larger than those that are considered typical of till and bedrock, but smaller than values reported for productive sand-and-gravel aquifers in some valley reaches in New York. Differences in the properties of till and bedrock and in land-surface slope or relief within the Susquehanna River basin of New York apparently have little effect on low flow.\r\n\r\nThree regression equations were selected for practical application in estimating 7-day mean low flows in cubic feet per second with 10-year and 2-year recurrence intervals, and 90-percent flow duration, at ungaged sites draining more than 30 square miles; standard errors were 0.88, 1.40, and 1.95 cubic feet per second, respectively. Equations that express low flows in cubic feet per second per square mile were selected for estimating these three indices at ungaged sites draining less than 30 square miles; standard errors were 0.012, 0.018, and 0.022 cubic feet per second per square mile, respectively.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105063","usgsCitation":"Randall, A.D., 2011, Low flow of streams in the Susquehanna River basin of New York: U.S. Geological Survey Scientific Investigations Report 2010-5063, vi, 57 p. , https://doi.org/10.3133/sir20105063.","productDescription":"vi, 57 p. ","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":126225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5063.gif"},{"id":14466,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5063/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a74e4b07f02db6448fb","contributors":{"authors":[{"text":"Randall, Allan D. arandall@usgs.gov","contributorId":1168,"corporation":false,"usgs":true,"family":"Randall","given":"Allan","email":"arandall@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307310,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99025,"text":"pp1778 - 2011 - Water availability and use pilot: A multiscale assessment in the U.S. Great Lakes Basin","interactions":[],"lastModifiedDate":"2022-12-19T19:28:05.86209","indexId":"pp1778","displayToPublicDate":"2011-02-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1778","title":"Water availability and use pilot: A multiscale assessment in the U.S. Great Lakes Basin","docAbstract":"Beginning in 2005, water availability and use were assessed for the U.S. part of the Great Lakes Basin through the Great Lakes Basin Pilot of a U.S. Geological Survey (USGS) national assessment of water availability and use. The goals of a national assessment of water availability and use are to clarify our understanding of water-availability status and trends and improve our ability to forecast the balance between water supply and demand for future economic and environmental uses. This report outlines possible approaches for full-scale implementation of such an assessment. As such, the focus of this study was on collecting, compiling, and analyzing a wide variety of data to define the storage and dynamics of water resources and quantify the human demands on water in the Great Lakes region.\r\n\r\nThe study focused on multiple spatial and temporal scales to highlight not only the abundant regional availability of water but also the potential for local shortages or conflicts over water. Regional studies provided a framework for understanding water resources in the basin. Subregional studies directed attention to varied aspects of the water-resources system that would have been difficult to assess for the whole region because of either data limitations or time limitations for the project. The study of local issues and concerns was motivated by regional discussions that led to recent legislative action between the Great Lakes States and regional cooperation with the Canadian Great Lakes Provinces. The multiscale nature of the study findings challenges water-resource managers and the public to think about regional water resources in an integrated way and to understand how future changes to the system-driven by human uses, climate variability, or land-use change-may be accommodated by informed water-resources management.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1778","collaboration":"National Water Availability and Use Pilot Program","usgsCitation":"Reeves, H.W., 2011, Water availability and use pilot: A multiscale assessment in the U.S. Great Lakes Basin: U.S. Geological Survey Professional Paper 1778, x, 105 p., https://doi.org/10.3133/pp1778.","productDescription":"x, 105 p.","additionalOnlineFiles":"Y","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":447,"text":"National Water Availability and Use Pilot Program","active":false,"usgs":true}],"links":[{"id":126224,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1778.jpg"},{"id":410724,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_96395.htm","linkFileType":{"id":5,"text":"html"}},{"id":14464,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1778/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Great Lakes Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94,\n              40.5\n            ],\n            [\n              -94,\n              49\n            ],\n            [\n              -75,\n              49\n            ],\n            [\n              -75,\n              40.5\n            ],\n            [\n              -94,\n              40.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48e9e4b07f02db553f90","contributors":{"authors":[{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307309,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99024,"text":"sir20105259 - 2011 - Flash floods of August 10, 2009, in the Villages of Gowanda and Silver Creek, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"sir20105259","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2011","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":"2010-5259","title":"Flash floods of August 10, 2009, in the Villages of Gowanda and Silver Creek, New York","docAbstract":"Late during the night of August 9, 2009, two storm systems intersected over western New York and produced torrential rain that caused severe flash flooding during the early morning hours of August 10 in parts of Cattaraugus, Chautauqua, and Erie Counties. Nearly 6 inches of rain fell in 1.5 hours as recorded by a National Weather Service weather observer in Perrysburg, which lies between Gowanda and Silver Creek-the communities that suffered the most damage. This storm intensity had an annual exceedance probability of less than 0.2 percent (recurrence interval greater than 500 years). Although flooding along Cattaraugus Creek occurred elsewhere, Cattaraugus Creek was responsible for very little flooding in Gowanda. Rather the small tributaries, Thatcher Brook and Grannis Brook, caused the flooding in Gowanda, as did Silver Creek and Walnut Creek in the Village of Silver Creek.\r\n\r\nDamages from the flooding were widespread. Numerous road culverts were washed out, and more than one-quarter of the roads in Cattaraugus County were damaged. Many people were evacuated or rescued in Gowanda and Silver Creek, and two deaths occurred during the flood in Gowanda. The water supplies of both communities were compromised by damages to village reservoirs and water-transmission infrastructures. Water and mud damage to residential and commercial properties was extensive. The tri-county area was declared a Federal disaster area and more than $45 million in Federal disaster assistance was distributed to more than 1,500 individuals and an estimated 1,100 public projects. The combined total estimate of damages from the flash floods was greater than $90 million.\r\n\r\nOver 240 high-water marks were surveyed by the U.S. Geological Survey; a subset of these marks was used to create flood-water-surface profiles for four streams and to delineate the areal extent of flooding in Gowanda and Silver Creek. Flood elevations exceeded previously defined 0.2-percent annual exceedance probability (500-year recurrence interval) elevations by 2 to 4 feet in Gowanda and as much as 6 to 8 feet in Silver Creek. Most of the high-water marks were used in indirect hydraulic computations to estimate peak flows for four streams. The peak flows in Grannis Brook and Thatcher Brook were computed, using the slope-area method, to be 1,400 and 7,600 cubic feet per second, respectively, and peak flow in Silver Creek was computed, using the width-contraction method, to be 19,500 cubic feet per second. The annual exceedance probabilities for flows in these and other basins with small drainage areas that fell almost entirely within the area of heaviest precipitation were less than 0.2 percent (or recurrence intervals greater than 500 years). The peak flow in Cattaraugus Creek at Gowanda was computed, using the slope-area method, to be 33,200 cubic feet per second with an annual exceedance probability of 2.2 percent (recurrence interval of 45 years).\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105259","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Szabo, C.O., Coon, W.F., and Niziol, T.A., 2011, Flash floods of August 10, 2009, in the Villages of Gowanda and Silver Creek, New York: U.S. Geological Survey Scientific Investigations Report 2010-5259, iv, 23 p. , https://doi.org/10.3133/sir20105259.","productDescription":"iv, 23 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-08-09","temporalEnd":"2009-08-10","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":126216,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5259.bmp"},{"id":14462,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5259/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80,42 ], [ -80,43 ], [ -78,43 ], [ -78,42 ], [ -80,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f2e4b07f02db5ef1e9","contributors":{"authors":[{"text":"Szabo, Carolyn O. cszabo@usgs.gov","contributorId":2840,"corporation":false,"usgs":true,"family":"Szabo","given":"Carolyn","email":"cszabo@usgs.gov","middleInitial":"O.","affiliations":[],"preferred":true,"id":307307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niziol, Thomas A.","contributorId":84314,"corporation":false,"usgs":true,"family":"Niziol","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":307308,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":9000581,"text":"sim3150 - 2011 - Bathymetric and sediment facies maps for China Bend and Marcus Flats, Franklin D. Roosevelt Lake, Washington, 2008 and 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sim3150","displayToPublicDate":"2011-02-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3150","title":"Bathymetric and sediment facies maps for China Bend and Marcus Flats, Franklin D. Roosevelt Lake, Washington, 2008 and 2009","docAbstract":"The U.S. Geological Survey (USGS) created bathymetric and sediment facies maps for portions of two reaches of Lake Roosevelt in support of an interdisciplinary study of white sturgeon (Acipenser transmontanus) and their habitat areas within Franklin D. Roosevelt Lake, Washington. In October 2008, scientists from the USGS used a boat-mounted multibeam echo sounder (MBES) to describe bathymetric data to characterize surface relief at China Bend and Marcus Flats, between Northport and Kettle Falls, Washington. In March 2009, an underwater video camera was used to view and record sediment facies that were then characterized by sediment type, grain size, and areas of sand deposition. Smelter slag has been identified as having the characteristics of sand-sized black particles; the two non-invasive surveys attempted to identify areas containing black-colored particulate matter that may be elements and minerals, organic material, or slag. The white sturgeon population in Lake Roosevelt is threatened by the failure of natural recruitment, resulting in a native population that consists primarily of aging fish and that is gradually declining as fish die and are not replaced by nonhatchery reared juvenile fish. These fish spawn and rear in the riverine and upper reservoir reaches where smelter slag is present in the sediment of the river lake bed. Effects of slag on the white sturgeon population in Lake Roosevelt are largely unknown. Two recent studies demonstrated that copper and other metals are mobilized from slag in aqueous environments with concentrations of copper and zinc in bed sediments reaching levels of 10,000 and 30,000 mg/kg due to the presence of smelter slag. Copper was found to be highly toxic to 30-day-old white sturgeon with 96-h LC50 concentrations ranging from 3 to 5 (u or mu)g copper per liter. Older juvenile and adult sturgeons commonly ingest substantial amounts of sediment while foraging. Future study efforts in Lake Roosevelt should include sampling of bottom material to confirm the presence or absence of slag material indicated on the map. In addition, follow-up acoustic work to determine stream velocities at varying discharges, in conjunction with sediment mapping, would be helpful to more accurately identify areas of scour and areas of sediment deposition where slag deposits may accumulate within the Marcus Flats and China Bend reaches. MBES mapping could also be used to determine changes in bed elevation and sedimentation in the study reaches and could help evaluate annual deposition and provide estimates on fine-sediment thickness.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3150","usgsCitation":"Weakland, R.J., Fosness, R.L., Williams, M.L., and Barton, G., 2011, Bathymetric and sediment facies maps for China Bend and Marcus Flats, Franklin D. 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,{"id":70003877,"text":"70003877 - 2011 - Which uncertainty? Using expert elicitation and expected value of information to design an adaptive program","interactions":[],"lastModifiedDate":"2023-03-21T17:38:28.384556","indexId":"70003877","displayToPublicDate":"2011-02-03T14:12:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Which uncertainty? Using expert elicitation and expected value of information to design an adaptive program","docAbstract":"Natural resource management is plagued with uncertainty of many kinds, but not all uncertainties are equally important to resolve. The promise of adaptive management is that learning in the short-term will improve management in the long-term; that promise is best kept if the focus of learning is on those uncertainties that most impede achievement of management objectives. In this context, an existing tool of decision analysis, the expected value of perfect information (EVPI), is particularly valuable in identifying the most important uncertainties. Expert elicitation can be used to develop preliminary predictions of management response under a series of hypotheses, as well as prior weights for those hypotheses, and the EVPI can be used to determine how much management could improve if uncertainty was resolved. These methods were applied to management of whooping cranes (<i>Grus americana</i>), an endangered migratory bird that is being reintroduced in several places in North America. The Eastern Migratory Population of whooping cranes had exhibited almost no successful reproduction through 2009. Several dozen hypotheses can be advanced to explain this failure, and many of them lead to very different management responses. An expert panel articulated the hypotheses, provided prior weights for them, developed potential management strategies, and made predictions about the response of the population to each strategy under each hypothesis. Multi-criteria decision analysis identified a preferred strategy in the face of uncertainty, and analysis of the expected value of information identified how informative each strategy could be. These results provide the foundation for design of an adaptive management program.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.biocon.2010.12.020","usgsCitation":"Runge, M.C., Converse, S., and Lyons, J., 2011, Which uncertainty? Using expert elicitation and expected value of information to design an adaptive program: Biological Conservation, v. 144, no. 4, p. 1214-1223, https://doi.org/10.1016/j.biocon.2010.12.020.","productDescription":"10 p.","startPage":"1214","endPage":"1223","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204609,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"144","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd063e4b08c986b32ee16","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":349257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J.","contributorId":85716,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah J.","affiliations":[],"preferred":false,"id":349259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, James E.","contributorId":35461,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[],"preferred":false,"id":349258,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70157196,"text":"70157196 - 2011 - Use of large-scale, multi-species surveys to monitor gyrfalcon and ptarmigan populations","interactions":[],"lastModifiedDate":"2022-11-04T17:30:30.622599","indexId":"70157196","displayToPublicDate":"2011-02-03T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of large-scale, multi-species surveys to monitor gyrfalcon and ptarmigan populations","docAbstract":"<p><span>We evaluated the ability of three large-scale, multi-species surveys in the Arctic to provide information on abundance and habitat relationships of Gyrfalcons (<i>Falco</i> <i>rusticolus</i>) and ptarmigan. The Program for Regional and International Shorebird Monitoring (PRISM) has surveyed birds widely across the arctic regions of Canada and Alaska since 2001. The Arctic Coastal Plain survey has collected abundance information on the North Slope of Alaska using fixed-wing aircraft since 1992. The Northwest Territories-Nunavut Bird Checklist has collected presence-absence information from little-known locations in northern Canada since 1995. All three surveys provide extensive information on Willow Ptarmigan (Lagopus lagopus) and Rock Ptarmigan (L. muta). For example, they show that ptarmigan are most abundant in western Alaska, next most abundant in northern Alaska and northwest Canada, and least abundant in the Canadian Archipelago. PRISM surveys were less successful in detecting Gyrfalcons, and the Arctic Coastal Plain Survey is largely outside the Gyrfalcon's breeding range. The Checklist Survey, however, reflects the expansive Gyrfalcon range in Canada. 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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":570179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schempf, Philip F.","contributorId":36795,"corporation":false,"usgs":true,"family":"Schempf","given":"Philip","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":570180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCaffery, Brian J.","contributorId":37617,"corporation":false,"usgs":true,"family":"McCaffery","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":570181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindberg, Mark S.","contributorId":63292,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, 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,{"id":99023,"text":"sir20115016 - 2011 - Control of Precambrian basement deformation zones on emplacement of the Laramide Boulder batholith and Butte mining district, Montana, United States","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"sir20115016","displayToPublicDate":"2011-02-03T00:00:00","publicationYear":"2011","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":"2011-5016","title":"Control of Precambrian basement deformation zones on emplacement of the Laramide Boulder batholith and Butte mining district, Montana, United States","docAbstract":"What are the roles of deep Precambrian basement deformation zones in the localization of subsequent shallow-crustal deformation zones and magmas? The Paleoproterozoic Great Falls tectonic zone and its included Boulder batholith (Montana, United States) provide an opportunity to examine the importance of inherited deformation fabrics in batholith emplacement and the localization of magmatic-hydrothermal mineral deposits. Northeast-trending deformation fabrics predominate in the Great Falls tectonic zone, which formed during the suturing of Paleoproterozoic and Archean cratonic masses approximately 1,800 mega-annum (Ma). Subsequent Mesoproterozoic to Neoproterozoic deformation fabrics trend northwest. Following Paleozoic through Early Cretaceous sedimentation, a Late Cretaceous fold-and-thrust belt with associated strike-slip faulting developed across the region, wherein some Proterozoic faults localized thrust faulting, while others were reactivated as strike-slip faults. The 81- to 76-Ma Boulder batholith was emplaced along the reactivated central Paleoproterozoic suture in the Great Falls tectonic zone. Early-stage Boulder batholith plutons were emplaced concurrent with east-directed thrust faulting and localized primarily by northwest-trending strike-slip and related faults. The late-stage Butte Quartz Monzonite pluton was localized in a northeast-trending pull-apart structure that formed behind the active thrust front and is axially symmetric across the underlying northeast-striking Paleoproterozoic fault zone, interpreted as a crustal suture. The modeling of potential-field geophysical data indicates that pull-apart?stage magmas fed into the structure through two funnel-shaped zones beneath the batholith. Renewed magmatic activity in the southern feeder from 66 to 64 Ma led to the formation of two small porphyry-style copper-molybdenum deposits and ensuing world-class polymetallic copper- and silver-bearing veins in the Butte mining district. Vein orientations parallel joints in the Butte Quartz Monzonite that, in turn, mimic Precambrian deformation fabrics found outside the district. The faults controlling the Butte veins are interpreted to have formed through activation under shear of preexisting northeast-striking joints as master faults from which splay faults formed along generally east-west and northwest joint plane orientations.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115016","usgsCitation":"Berger, B.R., Hildenbrand, T.G., and O’Neill, J.M., 2011, Control of Precambrian basement deformation zones on emplacement of the Laramide Boulder batholith and Butte mining district, Montana, United States: U.S. Geological Survey Scientific Investigations Report 2011-5016, vi, 29 p., https://doi.org/10.3133/sir20115016.","productDescription":"vi, 29 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126229,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5016.bmp"},{"id":14459,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5016/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,30 ], [ -120,50 ], [ -90,50 ], [ -90,30 ], [ -120,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686856","contributors":{"authors":[{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":307303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hildenbrand, Thomas G.","contributorId":61787,"corporation":false,"usgs":true,"family":"Hildenbrand","given":"Thomas","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":307304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neill, J. Michael jmoneill@usgs.gov","contributorId":99522,"corporation":false,"usgs":true,"family":"O’Neill","given":"J.","email":"jmoneill@usgs.gov","middleInitial":"Michael","affiliations":[],"preferred":false,"id":307305,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216675,"text":"70216675 - 2011 - Evaluation of a present-day climate simulation with a new coupled atmosphere-ocean model GENMOM","interactions":[],"lastModifiedDate":"2020-11-27T19:41:56.814913","indexId":"70216675","displayToPublicDate":"2011-02-02T13:36:26","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1818,"text":"Geoscientific Model Development","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a present-day climate simulation with a new coupled atmosphere-ocean model GENMOM","docAbstract":"<p>We present a new, non-flux corrected AOGCM, GENMOM, that combines the GENESIS version 3 atmospheric GCM (Global Environmental and Ecological Simulation of Interactive Systems) and MOM2 (Modular Ocean Model version 2) nominally at T31 resolution. We evaluate GENMOM by comparison with reanalysis products (e.g., NCEP2) and three models used in the IPCC AR4 assessment. GENMOM produces a global temperature bias of 0.6 ◦C. Atmospheric features such as the jet stream structure and major semi-permanent sea level pressure centers are well simulated as is the mean planetary-scale wind structure that is needed to produce the correct position of stormtracks. Most ocean surface currents are reproduced except where they are not resolvable at T31 resolution. Overall, GENMOM captures reasonably well the observed gradients and spatial distributions of annual surface temperature and precipitation and the simulations are on par with other AOGCMs. Deficiencies in the GENMOM simulations include a warm bias in the surface temperature over the southern oceans, a split in the ITCZ and weaker-than-observed overturning circulation.</p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/gmd-4-69-2011","usgsCitation":"Alder, J.R., Hostetler, S.W., Pollard, D., and Schmittner, A., 2011, Evaluation of a present-day climate simulation with a new coupled atmosphere-ocean model GENMOM: Geoscientific Model Development, v. 4, p. 69-83, https://doi.org/10.5194/gmd-4-69-2011.","productDescription":"15 p.","startPage":"69","endPage":"83","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":475030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmd-4-69-2011","text":"Publisher Index Page"},{"id":380858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationDate":"2011-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Alder, J. R.","contributorId":86096,"corporation":false,"usgs":false,"family":"Alder","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":805857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":805858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollard, D.","contributorId":96503,"corporation":false,"usgs":true,"family":"Pollard","given":"D.","affiliations":[],"preferred":false,"id":805859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmittner, A.","contributorId":18977,"corporation":false,"usgs":true,"family":"Schmittner","given":"A.","affiliations":[],"preferred":false,"id":805860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99021,"text":"ofr20111006 - 2011 - Evaluation of the genetic distinctiveness of Greater Sage-grouse in the Bi-State Planning Area","interactions":[],"lastModifiedDate":"2012-02-02T00:04:07","indexId":"ofr20111006","displayToPublicDate":"2011-02-02T00:00:00","publicationYear":"2011","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":"2011-1006","title":"Evaluation of the genetic distinctiveness of Greater Sage-grouse in the Bi-State Planning Area","docAbstract":"The purpose of this study was to further characterize a distinct population of Greater Sage-grouse: the population located along the border between Nevada and California (Bi-State Planning Area) and centered around the Mono Basin. This population was previously determined to be genetically distinct from other Greater Sage-grouse populations across their range. Previous genetic work focused on characterizing genetic variation across the species' range and thereby used a coarse sampling approach for species characterization. The goal of this study was to investigate this population further by obtaining samples from breeding locations within the population and analyzing those samples with the same mitochondrial and microsatellite loci used in previous studies. Blood samples were collected in six locations within the Bi-State Planning Area. Genetic data from subpopulations were then compared with each other and also with two populations outside of the Bi-State Planning Area. Particular attention was paid to subpopulation boundaries and internal dynamics by drawing comparisons among particular regions within the Bi-State Planning Area and regions proximal to it. All newly sampled subpopulations contained mitochondrial haplotypes and allele frequencies that were consistent with the genetically unique Bi-State (Mono Basin) Greater Sage-grouse described previously. This reinforces the fact that this group of Greater Sage-grouse is genetically unique and warrants special attention. Maintaining the genetic integrity of this population could protect the evolutionary potential of this population of Greater Sage-grouse. Additionally, the White Mountains subpopulation was found to be significantly distinct from all other Bi-State subpopulations.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111006","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Oyler-McCance, S.J., and Casazza, M.L., 2011, Evaluation of the genetic distinctiveness of Greater Sage-grouse in the Bi-State Planning Area: U.S. Geological Survey Open-File Report 2011-1006, iv, 15 p., https://doi.org/10.3133/ofr20111006.","productDescription":"iv, 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":125567,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1006.bmp"},{"id":14457,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1006/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49ace4b07f02db5c670d","contributors":{"authors":[{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":307296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":307297,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99020,"text":"fs20113003 - 2011 - Assessment of undiscovered oil and gas resources of the Anadarko Basin Province of Oklahoma, Kansas, Texas, and Colorado, 2010","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"fs20113003","displayToPublicDate":"2011-02-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3003","title":"Assessment of undiscovered oil and gas resources of the Anadarko Basin Province of Oklahoma, Kansas, Texas, and Colorado, 2010","docAbstract":"The U.S. Geological Survey, using a geoscience-based assessment methodology, estimated mean technically-recoverable undiscovered continuous and conventional resources that total 495 million barrels of oil, 27.5 trillion cubic feet of natural gas, and 410 million barrels of natural gas liquids in the Anadarko Basin Province; this assessment includes the Las Animas arch area of southeastern Colorado. The province is at a mature stage of exploration and development for conventional resources. Mean undiscovered continuous resources are estimated at 79 percent of oil, 90 percent of natural gas, and 81 percent of natural gas liquids in the province.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20113003","collaboration":"National Assessment of Oil and Gas Fact Sheet","usgsCitation":"Higley, D., Gaswirth, S., Abbott, M., Charpentier, R., Cook, T.A., Ellis, G., Gianoutsos, N., Hatch, J.R., Klett, T., Nelson, P.H., Pawlewicz, M., Pearson, O., Pollastro, R.M., and Schenk, C.J., 2011, Assessment of undiscovered oil and gas resources of the Anadarko Basin Province of Oklahoma, Kansas, Texas, and Colorado, 2010: U.S. Geological Survey Fact Sheet 2011-3003, 2 p., https://doi.org/10.3133/fs20113003.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[],"links":[{"id":118681,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3003.bmp"},{"id":14456,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3003/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,34 ], [ -104,40 ], [ -97,40 ], [ -97,34 ], [ -104,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66de24","contributors":{"authors":[{"text":"Higley, D.K. 0000-0001-8024-9954","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":90261,"corporation":false,"usgs":true,"family":"Higley","given":"D.K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":307293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaswirth, S.B. 0000-0001-5821-6347","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":89849,"corporation":false,"usgs":true,"family":"Gaswirth","given":"S.B.","affiliations":[],"preferred":false,"id":307292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abbott, M.M.","contributorId":95431,"corporation":false,"usgs":true,"family":"Abbott","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":307295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Charpentier, Ronald R.","contributorId":33674,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","affiliations":[],"preferred":false,"id":307286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, T. A.","contributorId":60169,"corporation":false,"usgs":true,"family":"Cook","given":"T.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":307288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellis, G.S. 0000-0003-4519-3320","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":91064,"corporation":false,"usgs":true,"family":"Ellis","given":"G.S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":307294,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gianoutsos, N.J. 0000-0002-6510-6549","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":11569,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"N.J.","affiliations":[],"preferred":false,"id":307284,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hatch, J. R.","contributorId":14775,"corporation":false,"usgs":true,"family":"Hatch","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":307285,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Klett, T. R. 0000-0001-9779-1168","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":83067,"corporation":false,"usgs":true,"family":"Klett","given":"T. R.","affiliations":[],"preferred":false,"id":307291,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307282,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pawlewicz, M. J.","contributorId":75111,"corporation":false,"usgs":true,"family":"Pawlewicz","given":"M. J.","affiliations":[],"preferred":false,"id":307290,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pearson, O.N. 0000-0002-9550-1128","orcid":"https://orcid.org/0000-0002-9550-1128","contributorId":51698,"corporation":false,"usgs":true,"family":"Pearson","given":"O.N.","affiliations":[],"preferred":false,"id":307287,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pollastro, R. M.","contributorId":6809,"corporation":false,"usgs":true,"family":"Pollastro","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":307283,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schenk, Christopher J. 0000-0002-0248-7305","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":72344,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":307289,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":99022,"text":"ofr20111011 - 2011 - Aqueous geochemical data from the analysis of stream-water samples collected in June and July 2006 — Taylor Mountains 1:250,000-scale quadrangle, Alaska","interactions":[],"lastModifiedDate":"2022-01-10T12:17:43.742053","indexId":"ofr20111011","displayToPublicDate":"2011-02-02T00:00:00","publicationYear":"2011","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":"2011-1011","title":"Aqueous geochemical data from the analysis of stream-water samples collected in June and July 2006 — Taylor Mountains 1:250,000-scale quadrangle, Alaska","docAbstract":"We report on the chemical analysis of water samples collected from the Taylor Mountains 1:250,000-scale quadrangle, Alaska. Parameters for which data are reported include pH, conductivity, water temperature, major cation and anion concentrations, trace-element concentrations, and dissolved organic-carbon concentrations. Samples were collected as part of a multiyear U.S. Geological Survey project entitled ?Geologic and Mineral Deposit Data for Alaskan Economic Development.? Data presented here are from samples collected in June and July 2006. The data are being released at this time with minimal interpretation. This is the third release of aqueous geochemical data from this project; aqueous geochemical data from samples collected in 2004 and 2005 were published previously. The data in this report augment but do not duplicate or supersede the previous data release. Site selection was based on a regional sampling strategy that focused on first- and second-order drainages. Water sample site selection was based on landscape parameters that included physiography, wetland extent, lithological changes, and a cursory field review of mineralogy from pan concentrates. Stream water in the Taylor Mountains quadrangle is dominated by bicarbonate (HCO3-), although in a few samples more than 50 percent of the anionic charge can be attributed to sulfate (SO42-). The major-cation chemistry ranges from Ca2+/Mg2+ dominated to a mix of Ca2+/Mg2+/Na++K+. Generally, good agreement was found between the major cations and anions in the duplicate samples. Many trace elements in these samples were at or near the analytical method detection limit, but good agreement was found between duplicate samples for elements with detectable concentrations. All field blank major-ion and trace-element concentrations were below detection.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111011","usgsCitation":"Wang, B., Mueller, S., Stetson, S., Bailey, E., and Lee, G., 2011, Aqueous geochemical data from the analysis of stream-water samples collected in June and July 2006 — Taylor Mountains 1:250,000-scale quadrangle, Alaska: U.S. Geological Survey Open-File Report 2011-1011, Report: iv, 10 p.; Appendices, https://doi.org/10.3133/ofr20111011.","productDescription":"Report: iv, 10 p.; Appendices","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":14458,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1011/","linkFileType":{"id":5,"text":"html"}},{"id":394042,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94832.htm"},{"id":116872,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1011.png"}],"country":"United States","state":"Alaska","otherGeospatial":"Taylor Mountains 1:250,000-scale quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159,\n              60\n            ],\n            [\n              -156.3667,\n              60\n            ],\n            [\n              -156.3667,\n              61\n            ],\n            [\n              -159,\n              61\n            ],\n            [\n              -159,\n              60\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679fc4","contributors":{"authors":[{"text":"Wang, Bronwen 0000-0003-1044-2227 bwang@usgs.gov","orcid":"https://orcid.org/0000-0003-1044-2227","contributorId":2351,"corporation":false,"usgs":true,"family":"Wang","given":"Bronwen","email":"bwang@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":307299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, Seth","contributorId":65441,"corporation":false,"usgs":true,"family":"Mueller","given":"Seth","affiliations":[],"preferred":false,"id":307301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stetson, Sarah sstetson@usgs.gov","contributorId":1394,"corporation":false,"usgs":true,"family":"Stetson","given":"Sarah","email":"sstetson@usgs.gov","affiliations":[],"preferred":true,"id":307298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Elizabeth","contributorId":61011,"corporation":false,"usgs":true,"family":"Bailey","given":"Elizabeth","affiliations":[],"preferred":false,"id":307300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Greg","contributorId":68272,"corporation":false,"usgs":true,"family":"Lee","given":"Greg","affiliations":[],"preferred":false,"id":307302,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70118844,"text":"70118844 - 2011 - Optimization of biomass composition explains microbial growth-stoichiometry relationships","interactions":[],"lastModifiedDate":"2014-07-30T16:43:39","indexId":"70118844","displayToPublicDate":"2011-02-01T16:41:53","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":740,"text":"American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Optimization of biomass composition explains microbial growth-stoichiometry relationships","docAbstract":"Integrating microbial physiology and biomass stoichiometry opens far-reaching possibilities for linking microbial dynamics to ecosystem processes. For example, the growth-rate hypothesis (GRH) predicts positive correlations among growth rate, RNA content, and biomass phosphorus (P) content. Such relationships have been used to infer patterns of microbial activity, resource availability, and nutrient recycling in ecosystems. However, for microorganisms it is unclear under which resource conditions the GRH applies. We developed a model to test whether the response of microbial biomass stoichiometry to variable resource stoichiometry can be explained by a trade-off among cellular components that maximizes growth. The results show mechanistically why the GRH is valid under P limitation but not under N limitation. We also show why variability of growth rate-biomass stoichiometry relationships is lower under P limitation than under N or C limitation. These theoretical results are supported by experimental data on macromolecular composition (RNA, DNA, and protein) and biomass stoichiometry from two different bacteria. In addition, compared to a model with strictly homeostatic biomass, the optimization mechanism we suggest results in increased microbial N and P mineralization during organic-matter decomposition. Therefore, this mechanism may also have important implications for our understanding of nutrient cycling in ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Essex Institute","publisherLocation":"Salem, MA","doi":"10.1086/657684","usgsCitation":"Franklin, O., Hall, E., Kaiser, C., Battin, T., and Richter, A., 2011, Optimization of biomass composition explains microbial growth-stoichiometry relationships: American Naturalist, v. 177, no. 2, p. E29-E42, https://doi.org/10.1086/657684.","productDescription":"14 p.","startPage":"E29","endPage":"E42","numberOfPages":"14","costCenters":[],"links":[{"id":488218,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1086/657684","text":"Publisher Index Page"},{"id":291433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291432,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/657684"}],"volume":"177","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe7fb5e4b0824b2d1478e8","contributors":{"authors":[{"text":"Franklin, O.","contributorId":31686,"corporation":false,"usgs":true,"family":"Franklin","given":"O.","email":"","affiliations":[],"preferred":false,"id":497333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, E. K.","contributorId":85501,"corporation":false,"usgs":true,"family":"Hall","given":"E. K.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":497335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaiser, C.","contributorId":28174,"corporation":false,"usgs":true,"family":"Kaiser","given":"C.","email":"","affiliations":[],"preferred":false,"id":497332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battin, T.J.","contributorId":87461,"corporation":false,"usgs":true,"family":"Battin","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":497336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richter, A.","contributorId":71486,"corporation":false,"usgs":true,"family":"Richter","given":"A.","email":"","affiliations":[],"preferred":false,"id":497334,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243791,"text":"70243791 - 2011 - Porosity variability in limestone sequences","interactions":[],"lastModifiedDate":"2023-05-22T13:11:51.345217","indexId":"70243791","displayToPublicDate":"2011-02-01T15:57:30","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Porosity variability in limestone sequences","docAbstract":"<p><span>Porosity is the state of being porous, as measured by the percentage of bulk volume of a rock or soil that is occupied by space, whether isolated or connected. In hydrocarbon-bearing limestone settings, subsurface porous strata containing the oil or gas usually underlie non-porous caprock through which hydrocarbons cannot pass. In settings, subsurface freshwater aquifers beneath caprock can become contaminated by saltwater intrusion during periods of drought. Islands of the Florida Keys consist of two types of emergent 125-ka limestone, a highly porous fossil coral reef with large voids and a less porous oolite with small grains and interstices. Both limestones are capped by impervious laminated Holocene calcrete whose dimensions differ greatly (Figure&nbsp;</span><a href=\"https://link.springer.com/referenceworkentry/10.1007/978-90-481-2639-2_244#Fig1_244\" data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" data-mce-href=\"https://link.springer.com/referenceworkentry/10.1007/978-90-481-2639-2_244#Fig1_244\">1a</a><span>&nbsp;and b). Porosity variability in the limestones is thought to be the cause. The less permeable oolite retained rainfall moisture longer, allowing longer periods of calcrete buildup. Reddish and brownish layers in both illustrated calcrete samples represent periods of influx of non-carbonate minerals on African dust. The hiatus or gap in these rock records represents an interval of &gt;115 kyr during which no marine or terrestrial deposition is recorded.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of modern coral reefs: Structure, form and process","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-90-481-2639-2_244","usgsCitation":"Lidz, B.H., 2011, Porosity variability in limestone sequences, chap. <i>of</i> Encyclopedia of modern coral reefs: Structure, form and process, p. 821-822, https://doi.org/10.1007/978-90-481-2639-2_244.","productDescription":"2 p.","startPage":"821","endPage":"822","ipdsId":"IP-011995","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":417267,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Hopley, David","contributorId":305582,"corporation":false,"usgs":false,"family":"Hopley","given":"David","email":"","affiliations":[],"preferred":false,"id":873281,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lidz, Barbara H blidz@usgs.gov","contributorId":305596,"corporation":false,"usgs":true,"family":"Lidz","given":"Barbara","email":"blidz@usgs.gov","middleInitial":"H","affiliations":[],"preferred":true,"id":873280,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70150344,"text":"70150344 - 2011 - Age, growth, mortality, and abundance of lake sturgeon in the Grasse River, New York, USA","interactions":[],"lastModifiedDate":"2015-06-29T11:25:12","indexId":"70150344","displayToPublicDate":"2011-02-01T12:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Age, growth, mortality, and abundance of lake sturgeon in the Grasse River, New York, USA","docAbstract":"<p>An increased understanding of lake sturgeon (<i>Acipenser fulvescens</i>) population dynamics is a key requirement for successful management efforts. Little is known regarding the Grasse River population of lake sturgeon except that it is one of a few populations in New York State where spawning has been documented. Thus our purpose was to assess the current status of lake sturgeon in the Grasse River system, including age, growth, mortality, and abundance. Age was determined for 196 of 211 lake sturgeon by examination of sectioned pectoral fin rays. Ages ranged from 0 to 32 years and the annual mortality rate for fish between ages 7 and 14 was 16.8%. The weight (<i>W</i>, g) to total length (TL, mm) relationship was <i>W</i> = 1.281 x 10<sup>-6</sup>TL<sup>3.202</sup>. The von Bertalanffy growth equation was TL = 1913(1-<i>e</i><sup>-0.0294(<i>t</i>+9.5691)</sup>). While the range of observed ages was similar to that of nearby St. Lawrence River populations, mean weight at age for an individual at 1000 mm TL was lower than that observed for lake sturgeon within Lake St. Francis of the St. Lawrence River. Predicted growth based on von Bertalanffy parameters was similar to that observed for the nearby Lake St. Francis. An open population estimator using the POPAN sub-module in the Program MARK produced an abundance estimate of 793 lake sturgeon (95% CI = 337-1249).</p>","language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Berlin, Germany","doi":"10.1111/j.1439-0426.2010.01599.x","usgsCitation":"Trested, D., and Isely, J.J., 2011, Age, growth, mortality, and abundance of lake sturgeon in the Grasse River, New York, USA: Journal of Applied Ichthyology, v. 27, no. 1, p. 13-19, https://doi.org/10.1111/j.1439-0426.2010.01599.x.","productDescription":"7 p.","startPage":"13","endPage":"19","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020803","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-11-16","publicationStatus":"PW","scienceBaseUri":"55926c55e4b0b6d21dd676ae","contributors":{"authors":[{"text":"Trested, D.G.","contributorId":98093,"corporation":false,"usgs":true,"family":"Trested","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":556719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isely, J. Jeffery","contributorId":97224,"corporation":false,"usgs":true,"family":"Isely","given":"J.","email":"","middleInitial":"Jeffery","affiliations":[],"preferred":false,"id":563918,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70236206,"text":"70236206 - 2011 - High geologic slip rates since early Pleistocene Initiation of the San Jacinto and San Felipe fault zones in the San Andreas fault system: southern California, USA","interactions":[],"lastModifiedDate":"2022-08-30T16:42:44.911296","indexId":"70236206","displayToPublicDate":"2011-02-01T11:30:45","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"High geologic slip rates since early Pleistocene Initiation of the San Jacinto and San Felipe fault zones in the San Andreas fault system: southern California, USA","docAbstract":"<p>The San Jacinto right-lateral strike-slip fault zone is crucial for understanding plate-boundary dynamics, regional slip partitioning, and seismic hazards within the San Andreas fault system of southern California, yet its age of initiation and long-term average slip rate are controversial. This synthesis of prior and new detailed studies in the western Salton Trough documents initiation of structural segments of the San Jacinto fault zone at or slightly before the 1.07-Ma base of the Jaramillo subchron. The dextral faults changed again after ca. 0.5–0.6 Ma with creation of new fault segments and folds. There were major and widespread basinal changes in the early Pleistocene when these new faults cut across the older West Salton detachment fault. We mapped and analyzed the complex fault mesh, identified structural segment boundaries along the Clark, Coyote Creek, and San Felipe fault zones, documented linkages between the major dextral faults, identified previously unknown active strands of the Coyote Creek fault 5 and 8 km NE and SW of its central strands, and showed that prior analyses of these fault zones oversimplify their complexity. The Clark fault is a zone of widely distributed faulting and folding SE of the Santa Rosa Mountains and unequivocally continues 20–25 km SE of its previously inferred termination point to the San Felipe Hills. There the Clark fault zone has been deforming basinal deposits at an average dextral slip rate of ≥10.2 +6.9/−3.3 mm/yr for ~0.5–0.6 m.y.</p><p>Five new estimates of displacement are developed here using offset successions of crystalline rocks, distinctive marker beds in the late Cenozoic basin fill, analysis of strike-slip–related fault-bend folds, quantification of strain in folds at the tips of dextral faults, and gravity, magnetic, and geomorphic data sets. Together these show far greater right slip across the Clark fault than across either the San Felipe or Coyote Creek faults, despite the Clark fault becoming “hidden” in basinal deposits at its SE end as strain disperses onto a myriad of smaller faults, strike-slip ramps and flats, transrotational systems of cross faults with strongly domain patterns, and a variety of fault-fold sets. Together the Clark and Buck Ridge–Santa Rosa faults accumulated ~16.8 +3.7/−6.0 km of right separation in their lifetime near Clark Lake. The Coyote Ridge segment of the Coyote Creek fault accumulated ~3.5 ± 1.3 km since roughly 0.8–0.9 Ma. The San Felipe fault accumulated between 4 and 12.4 km (~6.5 km preferred) of right slip on its central strands in the past 1.1–1.3 Ma at Yaqui and Pinyon ridges.</p><p>Combining the estimates of displacement with ages of fault initiation indicates a lifetime geologic slip rate of 20.1 +6.4/−9.8 mm/yr across the San Jacinto fault zone (sum of Clark, Buck Ridge, and Coyote Creek faults) and about ~5.4 +5.9/−1.4 mm/yr across the San Felipe fault zone at Yaqui and Pinyon ridges. The NW Coyote Creek fault has a lifetime slip rate of ~4.1 +1.9/−2.1 mm/yr, which is a quarter of that across the Clark fault (16.0 +4.5/−9.8 mm/yr) nearby. The San Felipe fault zone is not generally regarded as an active fault in the region, yet its lifetime slip rate exceeds those of the central and southern Elsinore and the Coyote Creek fault zones. The apparent lower slip rates across the San Felipe fault in the Holocene may reflect the transfer of strain to adjacent faults in order to bypass a contractional bend and step at Yaqui Ridge.</p><p>The San Felipe, Coyote Creek, and Clark faults all show evidence of major structural adjustments after ca. 0.6–0.5 Ma, and redistribution of strain onto new right- and left-lateral faults and folds far removed from the older central fault strands. Active faults shifted their locus and main central strands by as much as 13 km in the middle Pleistocene. These changes modify the entire upper crust and were not localized in the thin sedimentary basin fill, which is only a few kilometers thick in most of the western Salton Trough. Steep microseismic alignments are well developed beneath most of the larger active faults and penetrate basement to the base of the seismogenic crust at 10–14 km.</p><p>We hypothesize that the major structural and kinematic adjustments at ca. 0.5–0.6 Ma resulted in major changes in slip rate within the San Jacinto and San Felipe fault zones that are likely to explain the inconsistent slip rates determined from geologic (1–0.5 m.y.; this study), paleoseismic, and geodetic studies over different time intervals. The natural evolution of complex fault zones, cross faults, block rotation, and interactions within their broad damage zones might explain all the documented and implied temporal and spatial variation in slip rates. Co-variation of slip rates among the San Jacinto, San Felipe, and San Andreas faults, while possible, is not required by the available data.</p><p>Together the San Jacinto and San Felipe fault zones have accommodated ~25.5 mm/yr since their inception in early Pleistocene time, and were therefore slightly faster than the southern San Andreas fault during the same time interval. If the westward transfer of plate motion continues in southern California, the southern San Andreas fault in the Salton Trough may change from being the main plate boundary fault to defining the eastern margin of the growing Sierra Nevada microplate, as implied by other workers.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2010.2475","usgsCitation":"Janecke, S.U., Dorsey, R.J., Forand, D., Steely, A.N., Kirby, S., Lutz, A., Housen, B., Belgarde, B., Langenheim, V., and Rittenour, T.M., 2011, High geologic slip rates since early Pleistocene Initiation of the San Jacinto and San Felipe fault zones in the San Andreas fault system: southern California, USA: Special Paper of the Geological Society of America, v. 479, 48 p., https://doi.org/10.1130/2010.2475.","productDescription":"48 p.","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":405919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Jacinto and San Felipe fault zones","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.90551757812499,\n              33.15594830078649\n            ],\n            [\n              -115.521240234375,\n              33.15594830078649\n            ],\n            [\n              -115.521240234375,\n              34.298068350990825\n            ],\n            [\n              -116.90551757812499,\n              34.298068350990825\n            ],\n            [\n              -116.90551757812499,\n              33.15594830078649\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"479","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Janecke, Susanne U.","contributorId":194327,"corporation":false,"usgs":false,"family":"Janecke","given":"Susanne","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":850290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":850291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forand, David","contributorId":295964,"corporation":false,"usgs":false,"family":"Forand","given":"David","email":"","affiliations":[],"preferred":false,"id":850292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steely, Alexander N.","contributorId":295965,"corporation":false,"usgs":false,"family":"Steely","given":"Alexander","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":850293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirby, Stefan","contributorId":14563,"corporation":false,"usgs":true,"family":"Kirby","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":850294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lutz, Andrew","contributorId":198146,"corporation":false,"usgs":false,"family":"Lutz","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":850295,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Housen, Bernard","contributorId":30544,"corporation":false,"usgs":true,"family":"Housen","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":850296,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Belgarde, Benjamin","contributorId":295966,"corporation":false,"usgs":false,"family":"Belgarde","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":850297,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850298,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":850299,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70156454,"text":"70156454 - 2011 - Impacts of deer herbivory on vegetation in Rock Creek Park, 2001-2009","interactions":[],"lastModifiedDate":"2017-05-18T12:41:31","indexId":"70156454","displayToPublicDate":"2011-02-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NCR/NCRO/NRTR - 2011/001","title":"Impacts of deer herbivory on vegetation in Rock Creek Park, 2001-2009","docAbstract":"<p>Starting in 2001, vegetation data have been collected annually in 16 study modules consisting of paired (1x4 m) fenced plots and unfenced control plots located in the upland forests of Rock Creek Park, Washington, D.C. Vegetation data collected from 2001-2009 have been analyzed to determine impacts of deer herbivory on vegetation in the park. Differences between fenced plots and unfenced control plots were analyzed for the following variables: cover provided by various groups of species (woody, herbaceous, native, non-native, trees, shrubs, and woody vines), as well as by individual dominant species, vegetation thickness (a measure of percent cover projected horizontally that provides information on the vertical distribution of vegetation), and species richness overall and for groups of species (woody, herbaceous, native, non-native, trees, shrubs, and woody vines). The analyses were performed using repeated measures analysis of variance (ANOVA) and associated tests. Vegetation in plots protected from deer herbivory for 9 years showed significantly greater vegetative cover compared to plots not protected from deer herbivory. This effect was most pronounced for woody and shrub cover. Cover by the dominant species was not significantly greater in the fenced plots compared to the unfenced control plots, indicating that the significant differences observed for groups were not driven by single species within those groups. With respect to vegetation thickness, results indicate that protection from deer herbivory produced significantly higher levels of vegetation in the fenced plots compared to the unfenced control plots for both the Low (0-30 cm) and Middle (30-110 cm) height classes. Protection from deer herbivory has led to higher overall species richness and higher species richness for woody species, natives, and shrubs compared to plots not receiving protection. There is also evidence that plots protected from deer herbivory and those not receiving this protection are diverging over time with respect to a number of variables such as cover by woody and shrub species, cover in the lowest height class, and species richness of woody and native species. Recommendations were made regarding future sampling.</p>","language":"English","publisher":"United States Department of the Interior","publisherLocation":"Washington, D.C.","usgsCitation":"Kraft, C.C., and Hatfield, J.S., 2011, Impacts of deer herbivory on vegetation in Rock Creek Park, 2001-2009: Natural Resource Report NPS/NCR/NCRO/NRTR - 2011/001, vi, 31.","productDescription":"vi, 31","startPage":"1","endPage":"31","numberOfPages":"41","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":307164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington D.C.","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.12041854858398,\n              38.93337493490118\n            ],\n            [\n              -77.04111099243164,\n              38.99610695603964\n            ],\n            [\n              -77.02051162719727,\n              38.97956177494315\n            ],\n            [\n              -77.03887939453125,\n              38.90038499190383\n            ],\n            [\n              -77.05896377563475,\n              38.90078577147122\n            ],\n            [\n              -77.07595825195312,\n              38.904927027872844\n            ],\n            [\n              -77.08660125732422,\n              38.90733151751686\n            ],\n            [\n              -77.09535598754883,\n              38.911472392106276\n            ],\n            [\n              -77.12041854858398,\n              38.93337493490118\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d84bb6e4b0518e3546f00d","contributors":{"authors":[{"text":"Kraft, Cairn C.","contributorId":146868,"corporation":false,"usgs":true,"family":"Kraft","given":"Cairn","email":"","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":569215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatfield, Jeff S.","contributorId":95187,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeff","email":"","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":569216,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179142,"text":"70179142 - 2011 - About viral hemorrhagic septicemia (VHS) virus.   Potential threat of Great Lakes VHS virus in Western United States","interactions":[],"lastModifiedDate":"2016-12-19T13:21:20","indexId":"70179142","displayToPublicDate":"2011-02-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"About viral hemorrhagic septicemia (VHS) virus.   Potential threat of Great Lakes VHS virus in Western United States","docAbstract":"<p>Viral hemorrhagic septicemia (VHS) is a disease caused by a virus (VHSV). There are different strains of the virus that can infect marine and freshwater fish species, and the different strains may affect species differently. VHSV has recently invaded the Great Lakes, resulting in many large-scale fish die-offs and new regulatory restrictions for aquaculture throughout the region. </p>","language":"English","publisher":"Western Regional Aquaculture Center ","usgsCitation":"Bartholomew, J.L., Kurath, G., and Emmenegger, E., 2011, About viral hemorrhagic septicemia (VHS) virus.   Potential threat of Great Lakes VHS virus in Western United States, 4 p. .","productDescription":"4 p. ","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5859000ee4b03639a6025e4f","contributors":{"authors":[{"text":"Bartholomew, Jerri L","contributorId":148960,"corporation":false,"usgs":false,"family":"Bartholomew","given":"Jerri","email":"","middleInitial":"L","affiliations":[{"id":17604,"text":"Dept. of Microbiology, OSU, 220 Nash Hall, 2820 Southwest Campus Way, Corvallis, OR  97331","active":true,"usgs":false}],"preferred":false,"id":656171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Emmenegger, Evi","contributorId":43234,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Evi","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":656173,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193253,"text":"70193253 - 2011 - Assessing the effects of catch and release regulations on a quality adfluvial brook trout population using a computer based age-structure model","interactions":[],"lastModifiedDate":"2017-11-07T11:21:30","indexId":"70193253","displayToPublicDate":"2011-02-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the effects of catch and release regulations on a quality adfluvial brook trout population using a computer based age-structure model","docAbstract":"<p><script src=\"http://cdn.pardot.com/pd.js\" type=\"mce-text/javascript\" data-mce-src=\"http://cdn.pardot.com/pd.js\"></script><script 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type=\"mce-no/type\" data-mce-src=\"http://api.altmetric.com/v1/doi/10.1577/M09-158.1?key=be0ef6915d1b2200a248b7195d01ef22&amp;callback=jQuery19107359582457856614_1510072990248&amp;_=1510072990249\"></script><script src=\"https://ajax.googleapis.com/ajax/libs/webfont/1.5.10/webfont.js\" type=\"mce-no/type\" data-mce-src=\"https://ajax.googleapis.com/ajax/libs/webfont/1.5.10/webfont.js\"></script><script src=\"https://cdn.rawgit.com/scottgonzalez/figlet-js/master/figlet.js\" type=\"mce-text/javascript\" data-mce-src=\"https://cdn.rawgit.com/scottgonzalez/figlet-js/master/figlet.js\"></script>Assessing the Effects of Catch-and-Release Regulations on a Brook Trout Population Using an Age-Structured Model: North American Journal of Fisheries Management: Vol 30, No 6 <!-- publications og tags --><script src=\"https://www.colwiz.com/js/webpdf/ireader.js?ts=1510012800\" type=\"mce-text/javascript\" data-mce-src=\"https://www.colwiz.com/js/webpdf/ireader.js?ts=1510012800\"></script><script 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id=\"35d9ca18-265e-4501-9038-4105e95a4b7d\" class=\"widget pageBody none  widget-none  widget-compact-all\"><div class=\"wrapped \"><div class=\"widget-body body body-none  body-compact-all\"><div class=\"page-body pagefulltext\"><div data-pb-dropzone=\"main\"><div id=\"f4a74f7a-9ba2-4605-86b1-8094cb1f01de\" class=\"widget responsive-layout none publicationContentBody widget-none\"><div class=\"wrapped \"><div class=\"widget-body body body-none \"><div class=\"container\"><div class=\"row row-md  \"><div class=\"col-md-7-12 \"><div class=\"contents\" data-pb-dropzone=\"contents1\"><div id=\"d29f04e9-776c-4996-a0d8-931023161e00\" class=\"widget literatumPublicationContentWidget none  widget-none  widget-compact-all\"><div class=\"wrapped \"><div class=\"widget-body body body-none  body-compact-all\"><div class=\"publication-tabs ja publication-tabs-dropdown\"><div class=\"tabs tabs-widget\"><div class=\"tab-content \"><div class=\"tab tab-pane active\"><div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>As populations of wild brook trout <i>Salvelinus fontinalis</i> decline across the species' native range in North America, angling regulations such as fly-fishing only and catch and release are being used by management agencies to conserve fish while maintaining angling opportunities. Postrelease (hooking) mortality may significantly shift the age structure and size structure of populations. To assess the possible influence of catch-and-release fishing on brook trout population structure, we applied data from several sources to build a deterministic population model that included age-classes up to age 5. To assess the potential effect of fishing, we examined the changes in population density and age structure at varying levels of angler effort (0–400 angler-hours·ha<sup>−1</sup>·year<sup>−1</sup>) and hooking mortality rates (0–14%). Assuming a low (5%) hooking mortality rate, trophy brook trout density (ages 4 and 5) decreased by 50% at an angling intensity of 160 angler-hours·ha<sup>−1</sup>·year<sup>−1</sup>. As angling effort increased, the proportion of older fish (ages 3–5) declined further. At very high levels of angling effort (&gt;300 angler-hours·ha<sup>−1</sup>·year<sup>−1</sup>), age-4 and age-5 fish were eliminated from the population. Increases in postrelease mortality rates resulted in similar declines for older age-classes. The results of this simulation indicate that hooking mortality rates as might be common in catch-and-release fisheries may significantly shift the age structure of a population, thus reducing trophy angling potential.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1577/M09-158.1","usgsCitation":"Risley, C.A., and Zydlewski, J.D., 2011, Assessing the effects of catch and release regulations on a quality adfluvial brook trout population using a computer based age-structure model: North American Journal of Fisheries Management, v. 30, no. 6, p. 1434-1444, https://doi.org/10.1577/M09-158.1.","productDescription":"11 p.","startPage":"1434","endPage":"1444","numberOfPages":"11","ipdsId":"IP-016823","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-12-01","publicationStatus":"PW","scienceBaseUri":"5a07f36fe4b09af898c8cdce","contributors":{"authors":[{"text":"Risley, Casey A.L.","contributorId":200063,"corporation":false,"usgs":false,"family":"Risley","given":"Casey","email":"","middleInitial":"A.L.","affiliations":[],"preferred":false,"id":720852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":718370,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70169307,"text":"70169307 - 2011 - Postfledging survival of Grasshopper Sparrows in grasslands managed with fire and grazing","interactions":[],"lastModifiedDate":"2021-03-29T18:51:54.989805","indexId":"70169307","displayToPublicDate":"2011-02-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Postfledging survival of Grasshopper Sparrows in grasslands managed with fire and grazing","docAbstract":"<p><span>More accurate estimates of survival after nestlings fledge are needed for population models to be parameterized and population dynamics to be understood during this vulnerable life stage. The period after fledging is the time when chicks learn to fly, forage, and hide from predators. We monitored postfledging survival, causespecific mortality, and movements of Grasshopper Sparrows (</span><i>Ammodramus savannarum</i><span>) in grassland managed with fire and grazing. In 2009, we attached radio transmitters to 50 nestlings from 50 different broods and modeled their survival in response to climatic, biological, and ecological variables. There was no effect of treatment on survival. The factor most influencing postfledging survival was age; no other variable was significant. The majority of chicks (74%) died within 3 days of radio-transmitter attachment. We attributed most mortality to mesopredators (48%) and exposure (28%). Fledglings' movements increased rapidly for the first 4 days after they left the nest and were relatively stable for the remaining 10 days we tracked them. On average, fledglings took flight for the first time 4 days after fledging and flew &ge;10 m 9 days after fledging. Our data show that the Grasshopper Sparrow's survival rates may be less than most models relying on nest-success estimates predict, and we emphasize the importance of incorporating estimates of survival during the postfledging period in demographic models.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1525/cond.2011.100135","usgsCitation":"Hovick, T.J., Miller, J.R., Koford, R.R., Engle, D.M., and Debinski, D.M., 2011, Postfledging survival of Grasshopper Sparrows in grasslands managed with fire and grazing: Condor, v. 113, no. 2, p. 429-437, https://doi.org/10.1525/cond.2011.100135.","productDescription":"9 p.","startPage":"429","endPage":"437","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023847","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":475031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2011.100135","text":"Publisher Index Page"},{"id":319353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","county":"Ringgold County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-94.0151,40.8961],[-94.0163,40.8099],[-94.0163,40.7228],[-94.0169,40.6376],[-94.0182,40.5735],[-94.2285,40.5706],[-94.234,40.5706],[-94.4727,40.5703],[-94.4724,40.6385],[-94.4723,40.7247],[-94.4723,40.8118],[-94.4723,40.8989],[-94.3592,40.8979],[-94.3185,40.8991],[-94.2449,40.8977],[-94.1312,40.8969],[-94.0151,40.8961]]]},\"properties\":{\"name\":\"Ringgold\",\"state\":\"IA\"}}]}","volume":"113","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f50fcde4b0f59b85e1eb79","contributors":{"authors":[{"text":"Hovick, Torre J.","contributorId":94127,"corporation":false,"usgs":true,"family":"Hovick","given":"Torre","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":623498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, James R.","contributorId":6706,"corporation":false,"usgs":true,"family":"Miller","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":623541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koford, Rolf R.","contributorId":16347,"corporation":false,"usgs":true,"family":"Koford","given":"Rolf","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":623542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engle, David M.","contributorId":97225,"corporation":false,"usgs":true,"family":"Engle","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":623543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Debinski, Diane M.","contributorId":25361,"corporation":false,"usgs":true,"family":"Debinski","given":"Diane","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":623544,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70142266,"text":"70142266 - 2011 - Effects of herbivory and flooding on reforestation of baldcypress (<i>Taxodium distichum</i> [L.]) saplings planted in Caddo Lake, Texas","interactions":[],"lastModifiedDate":"2015-03-04T13:15:35","indexId":"70142266","displayToPublicDate":"2011-02-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3534,"text":"Texas Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Effects of herbivory and flooding on reforestation of baldcypress (<i>Taxodium distichum</i> [L.]) saplings planted in Caddo Lake, Texas","docAbstract":"<p><span>The effects of herbivory and flooding were examined on survival and growth of planted baldcypress (<i>Taxodium distichum</i> (L.) Rich.) saplings at three sites in Caddo Lake, TX, over a 4-yr period. There were two flood regimes (shallow periodic and deep continuous), where half of the saplings in each flood regime were protected by tree shelters to prevent herbivory. By the end of the first year, over 80% of saplings survived with half of saplings classified as healthy. By the end of the fourth year, only half of the saplings were alive and one-third were healthy. At all three sites, the combination of no protection and continuous flooding resulted in a significant number of missing saplings. Likewise, most unprotected saplings in periodic flooding were missing by the end of the study. Saplings clipped by herbivores showed about 50% chance of recovery, but many of the sprouts were of poor quality. Protected saplings in tree shelters achieved significantly greater survival and height growth.</span></p>","language":"English","publisher":"Texas Academy of Science","publisherLocation":"Plainview, TX","usgsCitation":"Keeland, B.D., Dale, R.O., Darville, R., and McCoy, J.W., 2011, Effects of herbivory and flooding on reforestation of baldcypress (<i>Taxodium distichum</i> [L.]) saplings planted in Caddo Lake, Texas: Texas Journal of Science, v. 63, no. 1/2, p. 47-68.","productDescription":"22 p.","startPage":"47","endPage":"68","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023752","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":298291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Caddo Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.1118049621582,\n              32.667124733120325\n            ],\n            [\n              -94.1118049621582,\n              32.75782970781984\n            ],\n            [\n              -94.010009765625,\n              32.75782970781984\n            ],\n            [\n              -94.010009765625,\n              32.667124733120325\n            ],\n            [\n              -94.1118049621582,\n              32.667124733120325\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","issue":"1/2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f83abde4b02419550d99ea","contributors":{"authors":[{"text":"Keeland, Bobby D.","contributorId":103506,"corporation":false,"usgs":true,"family":"Keeland","given":"Bobby","email":"","middleInitial":"D.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":541778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dale, Rassa O. 0000-0001-8532-3287 daler@usgs.gov","orcid":"https://orcid.org/0000-0001-8532-3287","contributorId":3215,"corporation":false,"usgs":true,"family":"Dale","given":"Rassa","email":"daler@usgs.gov","middleInitial":"O.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":541779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darville, Roy","contributorId":91723,"corporation":false,"usgs":false,"family":"Darville","given":"Roy","email":"","affiliations":[],"preferred":false,"id":541781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCoy, John W. 0000-0003-3013-730X mccoyj@usgs.gov","orcid":"https://orcid.org/0000-0003-3013-730X","contributorId":3082,"corporation":false,"usgs":true,"family":"McCoy","given":"John","email":"mccoyj@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":541780,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173878,"text":"70173878 - 2011 - Influence of Physiochemical and watershed characteristics on mercury concentration in walleye, <i>Sander vitreus</i>, M.","interactions":[],"lastModifiedDate":"2016-06-15T13:59:56","indexId":"70173878","displayToPublicDate":"2011-02-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of Physiochemical and watershed characteristics on mercury concentration in walleye, <i>Sander vitreus</i>, M.","docAbstract":"<p><span>Elevated mercury concentration has been documented in a variety of fish and is a growing concern for human consumption. Here, we explore the influence of physiochemical and watershed attributes on mercury concentration in walleye (</span><i class=\"EmphasisTypeItalic \">Sander vitreus,</i><span>&nbsp;M</span><i class=\"EmphasisTypeItalic \">.</i><span>) from natural, glacial lakes in South Dakota. Regression analysis showed that water quality attributes were poor predictors of walleye mercury concentration (R</span><span>2</span><span>&nbsp;=&nbsp;0.57,&nbsp;</span><i class=\"EmphasisTypeItalic \">p</i><span>&nbsp;=&nbsp;0.13). In contrast, models based on watershed features (e.g., lake level changes, watershed slope, agricultural land, wetlands) and local habitat features (i.e., substrate composition, maximum lake depth) explained 81% (</span><i class=\"EmphasisTypeItalic \">p</i><span>&nbsp;=&nbsp;0.001) and 80% (</span><i class=\"EmphasisTypeItalic \">p</i><span>&nbsp;=&nbsp;0.002) of the variation in walleye mercury concentration. Using an information theoretic approach we evaluated hypotheses related to water quality, physical habitat and watershed features. The best model explaining variation in walleye mercury concentration included local habitat features (W</span><span>i</span><span>&nbsp;=&nbsp;0.991). These results show that physical habitat and watershed features were better predictors of walleye mercury concentration than water chemistry in glacial lakes of the Northern Great Plains.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00128-010-0166-y","usgsCitation":"Hayer, C., Chipps, S.R., and Stone, J., 2011, Influence of Physiochemical and watershed characteristics on mercury concentration in walleye, <i>Sander vitreus</i>, M.: Bulletin of Environmental Contamination and Toxicology, v. 86, no. 2, p. 163-167, https://doi.org/10.1007/s00128-010-0166-y.","productDescription":"5 p.","startPage":"163","endPage":"167","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025946","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-12-09","publicationStatus":"PW","scienceBaseUri":"57627c33e4b07657d19a69f3","contributors":{"authors":[{"text":"Hayer, Cari-Ann chayer@usgs.gov","contributorId":150040,"corporation":false,"usgs":true,"family":"Hayer","given":"Cari-Ann","email":"chayer@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":639076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, James J.","contributorId":171913,"corporation":false,"usgs":false,"family":"Stone","given":"James J.","affiliations":[],"preferred":false,"id":639077,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036905,"text":"70036905 - 2011 - Nest success of northern bobwhite on managed and unmanaged landscapes in southeast Iowa","interactions":[],"lastModifiedDate":"2021-02-04T17:36:58.072854","indexId":"70036905","displayToPublicDate":"2011-01-31T11:30:47","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Nest success of northern bobwhite on managed and unmanaged landscapes in southeast Iowa","docAbstract":"<p><span>Range‐wide declines in northern bobwhite populations (</span><i>Colinus virginianus</i><span>) have been attributed to concomitant loss of breeding habitat. Bobwhite management efforts to restore this habitat resource can be informed by empirical studies of associations between breeding success and multi‐scale habitat attributes. We compared bobwhite nest success in 2 southern Iowa landscapes as a function of microhabitat and landscape composition. Lake Sugema Fish and Wildlife Area (LSWA) was managed to promote bobwhite recruitment, and Harrisburg Township (HT) was an adjacent landscape dominated by private agricultural production. Survival rate modeling based on telemetry data provided evidence for age‐specific daily nest survival rate. Daily survival rates decreased as nest age increased, but the decline was more severe at HT. Nest survival at LSWA (</span><i>S</i><span> = 0.495, SE = 0.103) was nearly twice that on HT (</span><i>S</i><span> = 0.277, SE = 0.072). We found no evidence that habitat composition or spatial attributes within 210 m of a nest site significantly influenced nest success. Forb canopy at the nest site had a positive influence on nest success at HT but not at LSWA. We suggest nesting habitat with greater forb canopy cover will increase the opportunity for nesting success in landscapes with limited nesting habitat.&nbsp;</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.18","usgsCitation":"Potter, L.M., Otis, D.L., and Bogenschutz, T.R., 2011, Nest success of northern bobwhite on managed and unmanaged landscapes in southeast Iowa: Journal of Wildlife Management, v. 75, no. 1, p. 46-51, https://doi.org/10.1002/jwmg.18.","productDescription":"6 p.","startPage":"46","endPage":"51","ipdsId":"IP-011513","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":382994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","county":"Van Buren County","otherGeospatial":"Harrisburg Township, Lake Sugema Fish and Wildlife Area","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.7183,40.8992],[-91.7192,40.8135],[-91.7196,40.725],[-91.72,40.637],[-91.7206,40.6135],[-91.7169,40.6134],[-91.7179,40.6012],[-91.7186,40.6018],[-91.7258,40.6091],[-91.7284,40.614],[-91.7428,40.6136],[-91.7906,40.6118],[-91.9,40.6077],[-91.9432,40.6065],[-92.0611,40.6033],[-92.1792,40.6007],[-92.1797,40.61],[-92.1792,40.6377],[-92.1793,40.7257],[-92.1795,40.8128],[-92.1798,40.8994],[-92.0654,40.8995],[-91.9511,40.9],[-91.8344,40.8999],[-91.7183,40.8992]]]},\"properties\":{\"name\":\"Van Buren\",\"state\":\"IA\"}}]}","volume":"75","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-01-31","publicationStatus":"PW","scienceBaseUri":"505a6488e4b0c8380cd729fb","contributors":{"authors":[{"text":"Potter, Lisa M.","contributorId":44011,"corporation":false,"usgs":false,"family":"Potter","given":"Lisa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":809838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otis, David L.","contributorId":78455,"corporation":false,"usgs":true,"family":"Otis","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":809839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bogenschutz, Todd R.","contributorId":7114,"corporation":false,"usgs":false,"family":"Bogenschutz","given":"Todd","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708015,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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