{"pageNumber":"740","pageRowStart":"18475","pageSize":"25","recordCount":40783,"records":[{"id":70005315,"text":"ofr20111227 - 2011 - Analyses of potential factors affecting survival of juvenile salmonids volitionally passing through turbines at McNary and John Day Dams, Columbia River","interactions":[],"lastModifiedDate":"2012-02-10T00:11:58","indexId":"ofr20111227","displayToPublicDate":"2011-09-02T00:00:00","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":"2011-1227","title":"Analyses of potential factors affecting survival of juvenile salmonids volitionally passing through turbines at McNary and John Day Dams, Columbia River","docAbstract":"This report describes analyses of data from radio- or acoustic-tagged juvenile salmonids passing through hydro-dam turbines to determine factors affecting fish survival. The data were collected during a series of studies designed to estimate passage and survival probabilities at McNary (2002-09) and John Day (2002-03) Dams on the Columbia River during controlled experiments of structures or operations at spillways. Relatively few tagged fish passed turbines in any single study, but sample sizes generally were adequate for our analyses when data were combined from studies using common methods over a series of years. We used information-theoretic methods to evaluate biological, operational, and group covariates by creating models fitting linear (all covariates) or curvilinear (operational covariates only) functions to the data. Biological covariates included tag burden, weight, and water temperature; operational covariates included spill percentage, total discharge, hydraulic head, and turbine unit discharge; and group covariates included year, treatment, and photoperiod. Several interactions between the variables also were considered. Support of covariates by the data was assessed by comparing the Akaike Information Criterion of competing models. The analyses were conducted because there was a lack of information about factors affecting survival of fish passing turbines volitionally and the data were available from past studies. The depth of acclimation, tag size relative to fish size (tag burden), turbine unit discharge, and area of entry into the turbine intake have been shown to affect turbine passage survival of juvenile salmonids in other studies. This study indicates that turbine passage survival of the study fish was primarily affected by biological covariates rather than operational covariates. A negative effect of tag burden was strongly supported in data from yearling Chinook salmon at John Day and McNary dams, but not for subyearling Chinook salmon or juvenile steelhead. The negative effect of tag burden in data we examined from yearling Chinook salmon supports the recent findings from laboratory studies of barotrauma effects. A curvilinear (quadratic) effect of turbine unit discharge was weakly supported in data from subyearling Chinook salmon at John Day Dam. The maximum survival from those data was estimated to occur at a discharge of 15.9 thousand cubic feet per second, but the estimate was imprecise (95 percent confidence interval of -1.7-33.7 thousand cubic feet per second). This estimate is within the range of 1 percent of peak turbine operating efficiency (12.0-21.6 thousand cubic feet per second), but is lower than the 17.2 thousand cubic feet per second discharge at peak operating efficiency (at a head of 102 feet near the median in the data we examined). Effects of water temperature were supported in four of the five examined data sets and were strongly supported in all but one. Spill percentage, head, and total discharge received weak or moderate support in some cases. The results are consistent with those of several controlled field experiments of turbine discharge. Studies based on the Hi-Z Turb'N tag (balloon tag) often show small, generally statistically insignificant, differences in survival at different turbine discharge levels. Some studies also show that a quadratic equation can be well fit to the relation of survival and turbine unit discharge. The lack of support for the operational covariates in most of the data sets we examined may be due to the small effect turbine discharge has even in controlled studies, the observational nature of the data we used, and the evaluation method. We assessed support of the data for models of linear and quadratic effects, whereas controlled experiments often statistically compare the point estimates of survival from each operational treatment studied. The results of our analyses suggest tag burden should be minimized or controlled for in analyses of future stu","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111227","collaboration":"Contributors: National Oceanic and Atmospheric Administration Fisheries, and prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Beeman, J., Hansel, H., Perry, R., Hockersmith, E., and Sandford, B., 2011, Analyses of potential factors affecting survival of juvenile salmonids volitionally passing through turbines at McNary and John Day Dams, Columbia River: U.S. Geological Survey Open-File Report 2011-1227, viii, 73 p.; Appendices, https://doi.org/10.3133/ofr20111227.","productDescription":"viii, 73 p.; Appendices","onlineOnly":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":121131,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1227.jpg"},{"id":91986,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1227/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon;Washington","otherGeospatial":"Columbia River;Mcnary Dam;John Day Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.91666666666667,45.25 ], [ -120.91666666666667,46 ], [ -119.11666666666666,46 ], [ -119.11666666666666,45.25 ], [ -120.91666666666667,45.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db68386f","contributors":{"authors":[{"text":"Beeman, John","contributorId":14559,"corporation":false,"usgs":true,"family":"Beeman","given":"John","affiliations":[],"preferred":false,"id":352277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansel, Hal","contributorId":65947,"corporation":false,"usgs":true,"family":"Hansel","given":"Hal","affiliations":[],"preferred":false,"id":352281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell","contributorId":33829,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[],"preferred":false,"id":352278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hockersmith, Eric","contributorId":56781,"corporation":false,"usgs":true,"family":"Hockersmith","given":"Eric","email":"","affiliations":[],"preferred":false,"id":352280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandford, Ben","contributorId":43904,"corporation":false,"usgs":true,"family":"Sandford","given":"Ben","email":"","affiliations":[],"preferred":false,"id":352279,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70171011,"text":"70171011 - 2011 - Simulation of branched serial first-order decay of atrazine and metabolites in adapted and nonadapted soils","interactions":[],"lastModifiedDate":"2021-05-27T14:35:46.88476","indexId":"70171011","displayToPublicDate":"2011-09-01T11:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of branched serial first-order decay of atrazine and metabolites in adapted and nonadapted soils","docAbstract":"

In the present study a branched serial first-order decay (BSFOD) model is presented and used to derive transformation rates describing the decay of a common herbicide, atrazine, and its metabolites observed in unsaturated soils adapted to previous atrazine applications and in soils with no history of atrazine applications. Calibration of BSFOD models for soils throughout the country can reduce the uncertainty, relative to that of traditional models, in predicting the fate and transport of pesticides and their metabolites and thus support improved agricultural management schemes for reducing threats to the environment. Results from application of the BSFOD model to better understand the degradation of atrazine supports two previously reported conclusions: atrazine (6-chloro-N-ethyl-N′-(1-methylethyl)-1,3,5-triazine-2,4-diamine) and its primary metabolites are less persistent in adapted soils than in nonadapted soils; and hydroxyatrazine was the dominant primary metabolite in most of the soils tested. In addition, a method to simulate BSFOD in a one-dimensional solute-transport unsaturated zone model is also presented.

","language":"English","publisher":"Elsevier Science","publisherLocation":"New York, NY","doi":"10.1002/etc.597","usgsCitation":"Webb, R.M., Sandstrom, M.W., Krutz, L.J., and Shaner, D.L., 2011, Simulation of branched serial first-order decay of atrazine and metabolites in adapted and nonadapted soils: Environmental Toxicology and Chemistry, v. 30, no. 9, p. 1973-1981, https://doi.org/10.1002/etc.597.","productDescription":"9 p.","startPage":"1973","endPage":"1981","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019767","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":321276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-09-01","publicationStatus":"PW","scienceBaseUri":"574d664ce4b07e28b6684e43","contributors":{"authors":[{"text":"Webb, Richard M. 0000-0001-9531-2207 rmwebb@usgs.gov","orcid":"https://orcid.org/0000-0001-9531-2207","contributorId":1570,"corporation":false,"usgs":true,"family":"Webb","given":"Richard","email":"rmwebb@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":629526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krutz, L. Jason","contributorId":169420,"corporation":false,"usgs":false,"family":"Krutz","given":"L.","email":"","middleInitial":"Jason","affiliations":[{"id":25506,"text":"USDA Agricultural Research Serv., Stoneville, MS","active":true,"usgs":false}],"preferred":false,"id":629528,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaner, Dale L.","contributorId":169419,"corporation":false,"usgs":false,"family":"Shaner","given":"Dale","email":"","middleInitial":"L.","affiliations":[{"id":25505,"text":"USDA Agricultural Research Service, Ft. Collins, CO","active":true,"usgs":false}],"preferred":false,"id":629527,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70146649,"text":"70146649 - 2011 - Peat formation processes through the millennia in tidal marshes of the Sacramento-San Joaquin Delta, California, USA","interactions":[],"lastModifiedDate":"2015-04-20T09:24:07","indexId":"70146649","displayToPublicDate":"2011-09-01T10:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Peat formation processes through the millennia in tidal marshes of the Sacramento-San Joaquin Delta, California, USA","docAbstract":"

The purpose of this study was to determine peat formation processes throughout the millennia in four tidal marshes in the Sacramento-San Joaquin Delta. Peat cores collected at each site were analyzed for bulk density, loss on ignition, and percent organic carbon. Core data and spline fit age-depth models were used to estimate inorganic sedimentation, organic accumulation, and carbon sequestration rates in the marshes. Bulk density and percent organic matter content of peat fluctuated through time at all sites, suggesting that peat formation processes are dynamic and responsive to watershed conditions. The balance between inorganic sedimentation and organic accumulation at the sites also varied through time, indicating that marshes may rely more strongly on either norganic or organic matter for peat formation at particular times in their existence. Mean carbon sequestration rates found in this study (0.38-0.79 Mg C ha-1 year-1) were similar to other long-term estimates for temperate peatlands.

","language":"English","publisher":"Estuarine Research Federation","publisherLocation":"Port Republic, MD","doi":"10.1007/s12237-011-9393-7","usgsCitation":"Drexler, J., 2011, Peat formation processes through the millennia in tidal marshes of the Sacramento-San Joaquin Delta, California, USA: Estuaries and Coasts, v. 34, no. 5, p. 900-911, https://doi.org/10.1007/s12237-011-9393-7.","productDescription":"12 p.","startPage":"900","endPage":"911","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017315","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":299769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.85932159423828,\n 38.012664749652494\n ],\n [\n -121.85932159423828,\n 38.07890613330849\n ],\n [\n -121.75392150878905,\n 38.07890613330849\n ],\n [\n -121.75392150878905,\n 38.012664749652494\n ],\n [\n -121.85932159423828,\n 38.012664749652494\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"5","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2011-03-24","publicationStatus":"PW","scienceBaseUri":"55362343e4b0b22a15807aab","contributors":{"authors":[{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":1659,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith Z.","email":"jdrexler@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":545225,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70169309,"text":"70169309 - 2011 - Adaptive resource management and the value of information","interactions":[],"lastModifiedDate":"2016-03-24T10:07:39","indexId":"70169309","displayToPublicDate":"2011-09-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive resource management and the value of information","docAbstract":"

The value of information is a general and broadly applicable concept that has been used for several decades to aid in making decisions in the face of uncertainty. Yet there are relatively few examples of its use in ecology and natural resources management, and almost none that are framed in terms of the future impacts of management decisions. In this paper we discuss the value of information in a context of adaptive management, in which actions are taken sequentially over a timeframe and both future resource conditions and residual uncertainties about resource responses are taken into account. Our objective is to derive the value of reducing or eliminating uncertainty in adaptive decision making. We describe several measures of the value of information, with each based on management objectives that are appropriate for adaptive management. We highlight some mathematical properties of these measures, discuss their geometries, and illustrate them with an example in natural resources management. Accounting for the value of information can help to inform decisions about whether and how much to monitor resource conditions through time.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2011.07.003","usgsCitation":"Williams, B.K., Eaton, M.J., and Breininger, D.R., 2011, Adaptive resource management and the value of information: Ecological Modelling, v. 222, no. 18, p. 3429-3436, https://doi.org/10.1016/j.ecolmodel.2011.07.003.","productDescription":"18 p.","startPage":"3429","endPage":"3436","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029054","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":319349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"222","issue":"18","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f50fade4b0f59b85e1ea77","contributors":{"authors":[{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":623500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. meaton@usgs.gov","contributorId":3912,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","email":"meaton@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":623516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breininger, David R.","contributorId":6990,"corporation":false,"usgs":true,"family":"Breininger","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":623517,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005310,"text":"ofr20111206 - 2011 - Abbreviated bibliography on energy development—A focus on the Rocky Mountain Region","interactions":[],"lastModifiedDate":"2012-02-02T00:15:51","indexId":"ofr20111206","displayToPublicDate":"2011-09-01T00:00:00","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":"2011-1206","title":"Abbreviated bibliography on energy development—A focus on the Rocky Mountain Region","docAbstract":"Energy development of all types continues to grow in the Rocky Mountain Region of the western United States. Federal resource managers increasingly need to balance energy demands, effects on the natural landscape and public perceptions towards these issues. To assist in efficient access to valuable information, this abbreviated bibliography provides citations to relevant information for myriad of issues for which resource managers must contend. The bibliography is organized by seven large topics with various sup-topics: broad energy topics (energy crisis, conservation, supply and demand, etc.); energy sources (fossil fuel, nuclear, renewable, etc.); natural landscape effects (climate change, ecosystem, mitigation, restoration, and reclamation, wildlife, water, etc.); human landscape effects (attitudes and perceptions, economics, community effects, health, Native Americans, etc.); research and technology; international research; and, methods and modeling. A large emphasis is placed on the natural and human landscape effects.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111206","usgsCitation":"Montag, J.M., Willis, C.J., and Glavin, L.W., 2011, Abbreviated bibliography on energy development—A focus on the Rocky Mountain Region: U.S. Geological Survey Open-File Report 2011-1206, iv, 316 p., https://doi.org/10.3133/ofr20111206.","productDescription":"iv, 316 p.","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":121122,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1206.gif"},{"id":91934,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1206/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho;Montana;Wyoming;Utah;Colorado;New Mexico;Arizona;Nevada","otherGeospatial":"Rocky Mountain Region","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a34e4b07f02db619cf1","contributors":{"authors":[{"text":"Montag, Jessica M.","contributorId":105007,"corporation":false,"usgs":true,"family":"Montag","given":"Jessica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":352255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willis, Carolyn J.","contributorId":67207,"corporation":false,"usgs":true,"family":"Willis","given":"Carolyn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":352254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glavin, Levi W.","contributorId":105035,"corporation":false,"usgs":true,"family":"Glavin","given":"Levi","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":352256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70003918,"text":"70003918 - 2011 - Methyl mercury dynamics in a tidal wetland quantified using in situ optical measurements","interactions":[],"lastModifiedDate":"2017-01-17T11:11:20","indexId":"70003918","displayToPublicDate":"2011-09-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Methyl mercury dynamics in a tidal wetland quantified using in situ optical measurements","docAbstract":"

We assessed monomethylmercury (MeHg) dynamics in a tidal wetland over three seasons using a novel method that employs a combination of in situ optical measurements as concentration proxies. MeHg concentrations measured over a single spring tide were extended to a concentration time series using in situ optical measurements. Tidal fluxes were calculated using modeled concentrations and bi-directional velocities obtained acoustically. The magnitude of the flux was the result of complex interactions of tides, geomorphic features, particle sorption, and random episodic events such as wind storms and precipitation. Correlation of dissolved organic matter quality measurements with timing of MeHg release suggests that MeHg is produced in areas of fluctuating redox and not limited by buildup of sulfide. The wetland was a net source of MeHg to the estuary in all seasons, with particulate flux being much higher than dissolved flux, even though dissolved concentrations were commonly higher. Estimated total MeHg yields out of the wetland were approximately 2.5 μg m−2 yr−1—4–40 times previously published yields—representing a potential loading to the estuary of 80 g yr−1, equivalent to 3% of the river loading. Thus, export from tidal wetlands should be included in mass balance estimates for MeHg loading to estuaries. Also, adequate estimation of loads and the interactions between physical and biogeochemical processes in tidal wetlands might not be possible without long-term, high-frequency in situ measurements.

","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","publisherLocation":"Waco, TX","doi":"10.4319/lo.2011.56.4.1355","usgsCitation":"Bergamaschi, B., Fleck, J., Downing, B., Boss, E., Pellerin, B., Ganju, N., Schoellhamer, D., Byington, A., Heim, W., Stephenson, M., and Fujii, R., 2011, Methyl mercury dynamics in a tidal wetland quantified using in situ optical measurements: Limnology and Oceanography, v. 56, no. 4, p. 1355-1371, https://doi.org/10.4319/lo.2011.56.4.1355.","productDescription":"17 p.","startPage":"1355","endPage":"1371","numberOfPages":"17","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":474926,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2011.56.4.1355","text":"Publisher Index Page"},{"id":203887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-06-14","publicationStatus":"PW","scienceBaseUri":"4f4e4a56e4b07f02db62d601","contributors":{"authors":[{"text":"Bergamaschi, B.A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":22401,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"B.A.","affiliations":[],"preferred":false,"id":349493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleck, J.A. 0000-0002-3217-3972","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":35864,"corporation":false,"usgs":true,"family":"Fleck","given":"J.A.","affiliations":[],"preferred":false,"id":349496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downing, B.D. 0000-0002-2007-5304","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":71681,"corporation":false,"usgs":true,"family":"Downing","given":"B.D.","affiliations":[],"preferred":false,"id":349501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boss, E.","contributorId":59544,"corporation":false,"usgs":true,"family":"Boss","given":"E.","email":"","affiliations":[],"preferred":false,"id":349499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pellerin, B.","contributorId":37047,"corporation":false,"usgs":true,"family":"Pellerin","given":"B.","email":"","affiliations":[],"preferred":false,"id":349498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ganju, N. K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":64782,"corporation":false,"usgs":true,"family":"Ganju","given":"N. K.","affiliations":[],"preferred":false,"id":349500,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoellhamer, D. H. 0000-0001-9488-7340","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":85624,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"D. H.","affiliations":[],"preferred":false,"id":349503,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Byington, A.A.","contributorId":24077,"corporation":false,"usgs":true,"family":"Byington","given":"A.A.","affiliations":[],"preferred":false,"id":349494,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heim, W.A.","contributorId":36268,"corporation":false,"usgs":true,"family":"Heim","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":349497,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stephenson, M.","contributorId":77487,"corporation":false,"usgs":true,"family":"Stephenson","given":"M.","email":"","affiliations":[],"preferred":false,"id":349502,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fujii, R.","contributorId":32278,"corporation":false,"usgs":true,"family":"Fujii","given":"R.","email":"","affiliations":[],"preferred":false,"id":349495,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70005106,"text":"70005106 - 2011 - Landscape unit based digital elevation model development for the freshwater wetlands within the Arthur C. Marshall Loxahatchee National Wildlife Refuge, Southeastern Florida","interactions":[],"lastModifiedDate":"2021-01-05T15:46:49.161575","indexId":"70005106","displayToPublicDate":"2011-09-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"Landscape unit based digital elevation model development for the freshwater wetlands within the Arthur C. Marshall Loxahatchee National Wildlife Refuge, Southeastern Florida","docAbstract":"The hydrologic regime is a critical limiting factor in the delicate ecosystem of the greater Everglades freshwater wetlands in south Florida that has been severely altered by management activities in the past several decades. \"Getting the water right\" is regarded as the key to successful restoration of this unique wetland ecosystem. An essential component to represent and model its hydrologic regime, specifically water depth, is an accurate ground Digital Elevation Model (DEM). The Everglades Depth Estimation Network (EDEN) supplies important hydrologic data, and its products (including a ground DEM) have been well received by scientists and resource managers involved in Everglades restoration. This study improves the EDEN DEMs of the Loxahatchee National Wildlife Refuge, also known as Water Conservation Area 1 (WCA1), by adopting a landscape unit (LU) based interpolation approach. The study first filtered the input elevation data based on newly available vegetation data, and then created a separate geostatistical model (universal kriging) for each LU. The resultant DEMs have encouraging cross-validation and validation results, especially since the validation is based on an independent elevation dataset (derived by subtracting water depth measurements from EDEN water surface elevations). The DEM product of this study will directly benefit hydrologic and ecological studies as well as restoration efforts. The study will also be valuable for a broad range of wetland studies.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apgeog.2010.10.003","usgsCitation":"Xie, Z., Liu, Z., Jones, J., Higer, A.L., and Telis, P.A., 2011, Landscape unit based digital elevation model development for the freshwater wetlands within the Arthur C. Marshall Loxahatchee National Wildlife Refuge, Southeastern Florida: Applied Geography, v. 31, no. 2, p. 401-412, https://doi.org/10.1016/j.apgeog.2010.10.003.","productDescription":"12 p.","startPage":"401","endPage":"412","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":203918,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Arthur C. Marshall Loxahatchee National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.28877258300781,\n 26.354343711520627\n ],\n [\n -80.24002075195312,\n 26.362957304349695\n ],\n [\n -80.20980834960938,\n 26.503759870210864\n ],\n [\n -80.24826049804688,\n 26.58300075705072\n ],\n [\n -80.30113220214844,\n 26.687956515184368\n ],\n [\n -80.44944763183594,\n 26.69041046591916\n ],\n [\n -80.45700073242188,\n 26.52772219002311\n ],\n [\n -80.46798706054688,\n 26.500687416370663\n ],\n [\n -80.39039611816406,\n 26.37649165363623\n ],\n [\n -80.2880859375,\n 26.351267272877074\n ],\n [\n -80.28877258300781,\n 26.354343711520627\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6aba09","contributors":{"authors":[{"text":"Xie, Zhixiao","contributorId":40336,"corporation":false,"usgs":true,"family":"Xie","given":"Zhixiao","email":"","affiliations":[],"preferred":false,"id":352001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Zhongwei","contributorId":34245,"corporation":false,"usgs":true,"family":"Liu","given":"Zhongwei","email":"","affiliations":[],"preferred":false,"id":352000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, John 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":351999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higer, Aaron L.","contributorId":52163,"corporation":false,"usgs":true,"family":"Higer","given":"Aaron","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":352002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Telis, Pamela A. patelis@usgs.gov","contributorId":64741,"corporation":false,"usgs":true,"family":"Telis","given":"Pamela","email":"patelis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":352003,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70043086,"text":"70043086 - 2011 - The Holocene history of Nares Strait: Transition from glacial bay to Arctic-Atlantic throughflow","interactions":[],"lastModifiedDate":"2013-04-25T12:07:48","indexId":"70043086","displayToPublicDate":"2011-09-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"The Holocene history of Nares Strait: Transition from glacial bay to Arctic-Atlantic throughflow","docAbstract":"Retreat of glacier ice from Nares Strait and other straits in the Canadian Arctic Archipelago after the end of the last Ice Age initiated an important connection between the Arctic and the North Atlantic Oceans, allowing development of modern ocean circulation in Baffin Bay and the Labrador Sea. As low-salinity, nutrient-rich Arctic Water began to enter Baffin Bay, it contributed to the Baffin and Labrador currents flowing southward. This enhanced freshwater inflow must have influenced the sea ice regime and likely is responsible for poor calcium carbonate preservation that characterizes the Baffin Island margin today. Sedimentologic and paleoceanographic data from radiocarbon-dated core HLY03-05GC, Hall Basin, northern Nares Strait, document the timing and paleoenvironments surrounding the retreat of waning ice sheets from Nares Strait and opening of this connection between the Arctic Ocean and Baffin Bay. Hall Basin was deglaciated soon before 10,300 cal BP (calibrated years before present) and records ice-distal sedimentation in a glacial bay facing the Arctic Ocean until about 9,000 cal BP. Atlantic Water was present in Hall Basin during deglaciation, suggesting that it may have promoted ice retreat. A transitional unit with high ice-rafted debris content records the opening of Nares Strait at approximately 9,000 cal BP. High productivity in Hall Basin between 9,000 and 6,000 cal BP reflects reduced sea ice cover and duration as well as throughflow of nutrient-rich Pacific Water. The later Holocene is poorly resolved in the core, but slow sedimentation rates and heavier carbon isotope values support an interpretation of increased sea ice cover and decreased productivity during the Neoglacial period.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Oceanography Society","doi":"10.5670/oceanog.2011.52","usgsCitation":"Jennings, A.E., Sheldon, C., Cronin, T.M., Francus, P., Stoner, J., and Andrews, J., 2011, The Holocene history of Nares Strait: Transition from glacial bay to Arctic-Atlantic throughflow: Oceanography, v. 24, no. 3, p. 26-41, https://doi.org/10.5670/oceanog.2011.52.","productDescription":"16 p.","startPage":"26","endPage":"41","numberOfPages":"16","ipdsId":"IP-028446","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":474924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2011.52","text":"Publisher Index Page"},{"id":269403,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5670/oceanog.2011.52"},{"id":271466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada;Greenland","otherGeospatial":"Nares Strait","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92,76.1 ], [ -92,83.1 ], [ -61.1,83.1 ], [ -61.1,76.1 ], [ -92,76.1 ] ] ] } } ] }","volume":"24","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517a506ce4b072c16ef14b44","contributors":{"authors":[{"text":"Jennings, Anne E.","contributorId":38876,"corporation":false,"usgs":true,"family":"Jennings","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":472934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheldon, Christina","contributorId":79778,"corporation":false,"usgs":true,"family":"Sheldon","given":"Christina","email":"","affiliations":[],"preferred":false,"id":472938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":472933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Francus, Pierre","contributorId":48847,"corporation":false,"usgs":true,"family":"Francus","given":"Pierre","affiliations":[],"preferred":false,"id":472936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stoner, Joseph","contributorId":49682,"corporation":false,"usgs":true,"family":"Stoner","given":"Joseph","affiliations":[],"preferred":false,"id":472937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrews, John","contributorId":45984,"corporation":false,"usgs":true,"family":"Andrews","given":"John","affiliations":[],"preferred":false,"id":472935,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70042961,"text":"70042961 - 2011 - Small-scale sediment transport patterns and bedform morphodynamics: New insights from high resolution multibeam bathymetry","interactions":[],"lastModifiedDate":"2021-03-29T18:46:34.042298","indexId":"70042961","displayToPublicDate":"2011-09-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1742,"text":"Geo-Marine Letters","active":true,"publicationSubtype":{"id":10}},"title":"Small-scale sediment transport patterns and bedform morphodynamics: New insights from high resolution multibeam bathymetry","docAbstract":"

New multibeam echosounder and processing technologies yield sub-meter-scale bathymetric resolution, revealing striking details of bedform morphology that are shaped by complex boundary-layer flow dynamics at a range of spatial and temporal scales. An inertially aided post processed kinematic (IAPPK) technique generates a smoothed best estimate trajectory (SBET) solution to tie the vessel motion-related effects of each sounding directly to the ellipsoid, significantly reducing artifacts commonly found in multibeam data, increasing point density, and sharpening seafloor features. The new technique was applied to a large bedform field in 20–30 m water depths in central San Francisco Bay, California (USA), revealing bedforms that suggest boundary-layer flow deflection by the crests where 12-m-wavelength, 0.2-m-amplitude bedforms are superimposed on 60-m-wavelength, 1-m-amplitude bedforms, with crests that often were strongly oblique (approaching 90°) to the larger features on the lee side, and near-parallel on the stoss side. During one survey in April 2008, superimposed bedform crests were continuous between the crests of the larger features, indicating that flow detachment in the lee of the larger bedforms is not always a dominant process. Assessment of bedform crest peakedness, asymmetry, and small-scale bedform evolution between surveys indicates the impact of different flow regimes on the entire bedform field. This paper presents unique fine-scale imagery of compound and superimposed bedforms, which is used to (1) assess the physical forcing and evolution of a bedform field in San Francisco Bay, and (2) in conjunction with numerical modeling, gain a better fundamental understanding of boundary-layer flow dynamics that result in the observed superimposed bedform orientation.

","language":"English","publisher":"Springer","doi":"10.1007/s00367-011-0227-1","usgsCitation":"Barnard, P.L., Erikson, L., and Kvitek, R.G., 2011, Small-scale sediment transport patterns and bedform morphodynamics: New insights from high resolution multibeam bathymetry: Geo-Marine Letters, v. 31, no. 4, p. 227-236, https://doi.org/10.1007/s00367-011-0227-1.","productDescription":"10 p.","startPage":"227","endPage":"236","numberOfPages":"10","ipdsId":"IP-015134","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":269035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.15560913085938,\n 37.497741887143576\n ],\n [\n -122.08007812499999,\n 37.54675499755639\n ],\n [\n -122.25860595703125,\n 37.75877280300828\n ],\n [\n -122.33139038085936,\n 37.91278405007035\n ],\n [\n -122.39593505859376,\n 37.931200459333716\n ],\n [\n -122.50167846679686,\n 37.938782346134424\n ],\n [\n -122.50167846679686,\n 37.87593739777859\n ],\n [\n -122.46322631835938,\n 37.81195385919268\n ],\n [\n -122.39181518554686,\n 37.79893346559687\n ],\n [\n -122.36846923828125,\n 37.727280276860036\n ],\n [\n -122.3876953125,\n 37.64794668685352\n ],\n [\n -122.37258911132812,\n 37.60117623656667\n ],\n [\n -122.23388671874999,\n 37.54784381205082\n ],\n [\n -122.15560913085938,\n 37.497741887143576\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-02-12","publicationStatus":"PW","scienceBaseUri":"53cd7315e4b0b29085108bb3","contributors":{"authors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":2880,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":472668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":3170,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":472670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kvitek, Rikk G.","contributorId":107804,"corporation":false,"usgs":true,"family":"Kvitek","given":"Rikk","email":"","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":472671,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005267,"text":"sir20115133 - 2011 - A digital model for planning water management at Benton Lake National Wildlife Refuge, west-central Montana","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"sir20115133","displayToPublicDate":"2011-08-31T00:00:00","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":"2011-5133","title":"A digital model for planning water management at Benton Lake National Wildlife Refuge, west-central Montana","docAbstract":"Benton Lake National Wildlife Refuge is an important area for waterfowl production and migratory stopover in west-central Montana. Eight wetland units covering about 5,600 acres are the essential features of the refuge. Water availability for the wetland units can be uncertain owing to the large natural variations in precipitation and runoff and the high cost of pumping supplemental water. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, has developed a digital model for planning water management. The model can simulate strategies for water transfers among the eight wetland units and account for variability in runoff and pumped water. This report describes this digital model, which uses a water-accounting spreadsheet to track inputs and outputs to each of the wetland units of Benton Lake National Wildlife Refuge. Inputs to the model include (1) monthly values for precipitation, pumped water, runoff, and evaporation; (2) water-level/capacity data for each wetland unit; and (3) the pan-evaporation coefficient. Outputs include monthly water volume and flooded surface area for each unit for as many as 5 consecutive years. The digital model was calibrated by comparing simulated and historical measured water volumes for specific test years.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115133","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Nimick, D.A., McCarthy, P., and Fields, V., 2011, A digital model for planning water management at Benton Lake National Wildlife Refuge, west-central Montana: U.S. Geological Survey Scientific Investigations Report 2011-5133, vi, 26 p.; Appendices; Appendix 2 Download, https://doi.org/10.3133/sir20115133.","productDescription":"vi, 26 p.; Appendices; Appendix 2 Download","temporalStart":"1983-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":126827,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5133.png"},{"id":91899,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5133/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator, Zone 12","datum":"North American Datum of 1927","country":"United States","state":"Montana","county":"Cascade;Chouteau;Teton","otherGeospatial":"Benton Lake National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,47.416666666666664 ], [ -112,47.916666666666664 ], [ -111,47.916666666666664 ], [ -111,47.416666666666664 ], [ -112,47.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b25e4b07f02db6aed78","contributors":{"authors":[{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":352185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarthy, Peter 0000-0002-2396-7463 pmccarth@usgs.gov","orcid":"https://orcid.org/0000-0002-2396-7463","contributorId":2504,"corporation":false,"usgs":true,"family":"McCarthy","given":"Peter","email":"pmccarth@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fields, Vanessa","contributorId":76452,"corporation":false,"usgs":true,"family":"Fields","given":"Vanessa","email":"","affiliations":[],"preferred":false,"id":352187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005302,"text":"gip132 - 2011 - Floor of Lake Tahoe, California and Nevada","interactions":[],"lastModifiedDate":"2023-01-05T19:14:38.396343","indexId":"gip132","displayToPublicDate":"2011-08-31T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"132","title":"Floor of Lake Tahoe, California and Nevada","docAbstract":"Lake-floor depths shown by color, from light tan (shallowest) to blue (deepest). Arrows on map (C) show orientations of perspective views. A, view toward McKinney Bay over blocks tumbled onto the lake floor by a massive landslide 10s to 100s of thousands of years ago; dark triangular block near center is approximately 1.5 km (0.9 mi) across and 120 m (390 ft) high. B, view toward South Lake Tahoe and Emerald Bay (on right) over sediment waves as much as 10 m (30 ft) high, created by sediment flowing down the south margin of the lake. Slopes appear twice as steep as they are. Lake-floor imagery from U.S. Geological Survey (USGS) multibeam bathymetric data and U.S. Army Corps of Engineers bathymetric lidar data. Land imagery generated by overlaying USGS digital orthophoto quadrangles (DOQs) on USGS digital elevation models (DEMs). All data available at http://tahoe.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip132","usgsCitation":"Dartnell, P., and Gibbons, H., 2011, Floor of Lake Tahoe, California and Nevada: U.S. Geological Survey General Information Product 132, 2 p. Postcard, https://doi.org/10.3133/gip132.","productDescription":"2 p. Postcard","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":126235,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_132.gif"},{"id":411440,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95550.htm","linkFileType":{"id":5,"text":"html"}},{"id":91903,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/132/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.91858554300163,\n 39.250629181250076\n ],\n [\n -120.1655816375422,\n 39.250629181250076\n ],\n [\n -120.1655816375422,\n 38.93343883786903\n ],\n [\n -119.91858554300163,\n 38.93343883786903\n ],\n [\n -119.91858554300163,\n 39.250629181250076\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de61a","contributors":{"authors":[{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":352244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbons, Helen hgibbons@usgs.gov","contributorId":912,"corporation":false,"usgs":true,"family":"Gibbons","given":"Helen","email":"hgibbons@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":352243,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003897,"text":"70003897 - 2011 - Local richness along gradients in the Siskiyou herb flora: R. H. Whittaker revisited","interactions":[],"lastModifiedDate":"2021-02-12T21:59:10.049018","indexId":"70003897","displayToPublicDate":"2011-08-31T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Local richness along gradients in the Siskiyou herb flora: R. H. Whittaker revisited","docAbstract":"

In his classic study in the Siskiyou Mountains (Oregon, USA), one of the most botanically rich forested regions in North America, R. H. Whittaker (1960) foreshadowed many modern ideas on the multivariate control of local species richness along environmental gradients related to productivity. Using a structural equation model to analyze his data, which were never previously statistically analyzed, we demonstrate that Whittaker was remarkably accurate in concluding that local herb richness in these late‐seral forests is explained to a large extent by three major abiotic gradients (soils, topography, and elevation), and in turn, by the effects of these gradients on tree densities and the numbers of individual herbs. However, while Whittaker also clearly appreciated the significance of large‐scale evolutionary and biogeographic influences on community composition, he did not fully articulate the more recent concept that variation in the species richness of local communities could be explained in part by variation in the sizes of regional species pools. Our model of his data is among the first to use estimates of regional species pool size to explain variation in local community richness along productivity‐related gradients. We find that regional pool size, combined with a modest number of other interacting abiotic and biotic factors, explains most of the variation in local herb richness in the Siskiyou biodiversity hotspot.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-2137.1","usgsCitation":"Grace, J.B., Harrison, S., and Damschen, E.I., 2011, Local richness along gradients in the Siskiyou herb flora: R. H. Whittaker revisited: Ecology, v. 92, no. 1, p. 108-120, https://doi.org/10.1890/09-2137.1.","productDescription":"13 p.","startPage":"108","endPage":"120","numberOfPages":"12","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":204100,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Siskiyou Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.002685546875,\n 42.0125705565935\n ],\n [\n -121.47033691406249,\n 42.0125705565935\n ],\n [\n -121.47033691406249,\n 44.28453670601888\n ],\n [\n -124.002685546875,\n 44.28453670601888\n ],\n [\n -124.002685546875,\n 42.0125705565935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"92","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a68e4b07f02db63b22e","contributors":{"authors":[{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"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":349362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Susan","contributorId":85707,"corporation":false,"usgs":true,"family":"Harrison","given":"Susan","affiliations":[],"preferred":false,"id":349364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Damschen, Ellen Ingman","contributorId":6177,"corporation":false,"usgs":false,"family":"Damschen","given":"Ellen","email":"","middleInitial":"Ingman","affiliations":[{"id":16916,"text":"Dept. of Zoology, University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":349363,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70003913,"text":"70003913 - 2011 - Limnogeology in Brazil's \"forgotten wilderness\": A synthesis from the large floodplain lakes of the Pantanal","interactions":[],"lastModifiedDate":"2021-04-29T20:19:35.462342","indexId":"70003913","displayToPublicDate":"2011-08-31T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"Limnogeology in Brazil's \"forgotten wilderness\": A synthesis from the large floodplain lakes of the Pantanal","docAbstract":"Sediment records from floodplain lakes have a large and commonly untapped potential for inferring wetland response to global change. The Brazilian Pantanal is a vast, seasonally inundated savanna floodplain system controlled by the flood pulse of the Upper Paraguay River. Little is known, however, about how floodplain lakes within the Pantanal act as sedimentary basins, or what influence hydroclimatic variables exert on limnogeological processes. This knowledge gap was addressed through an actualistic analysis of three large, shallow (<5 m) floodplain lakes in the western Pantanal: Lagoa Gaíva, Lagoa Mandioré and Baia Vermelha. The lakes are dilute (CO3 2- > Si4+ > Ca2+), mildly alkaline, freshwater systems, the chemistries and morphometrics of which evolve with seasonal flooding. Lake sills are bathymetric shoals marked by siliciclastic fans and marsh vegetation. Flows at the sills likely undergo seasonal reversals with the changing stage of the Upper Paraguay River. Deposition in deeper waters, typically encountered in proximity to margin-coincident topography, is dominated by reduced silty-clays with abundant siliceous microfossils and organic matter. Stable isotopes of carbon and nitrogen, plus hydrogen index measured on bulk organic matter, suggest that contributions from algae (including cyanobacteria) and other C3-vegetation dominate in these environments. The presence of lotic sponge spicules, together with patterns of terrigenous sand deposition and geochemical indicators of productivity, points to the importance of the flood pulse for sediment and nutrient delivery to the lakes. Flood-pulse plumes, waves and bioturbation likewise affect the continuity of sedimentation. Short-lived radioisotopes indicate rates of 0.11-0.24 cm year-1 at sites of uninterrupted deposition. A conceptual facies model, developed from insights gained from modern seasonal processes, can be used to predict limnogeological change when the lakes become isolated on the floodplain or during intervals associated with a strengthened flood pulse. Amplification of the seasonal cycle over longer time scales suggests carbonate, sandy lowstand fan and terrestrial organic matter deposition during arid periods, whereas deposition of lotic sponges, mixed aquatic organic matter, and highstand deltas characterizes wet intervals. The results hold substantial value for interpreting paleolimnological records from floodplain lakes linked to large tropical rivers with annual flooding cycles.","language":"English","publisher":"Springer","publisherLocation":"Netherlands","doi":"10.1007/s10933-011-9538-5","usgsCitation":"McGlue, M.M., Silva, A., Corradini, F.A., Zani, H., Trees, M.A., Ellis, G.S., Parolin, M., Swarzenski, P.W., Cohen, A.S., and Assine, M.L., 2011, Limnogeology in Brazil's \"forgotten wilderness\": A synthesis from the large floodplain lakes of the Pantanal: Journal of Paleolimnology, v. 46, no. 2, p. 273-289, https://doi.org/10.1007/s10933-011-9538-5.","productDescription":"17 p.","startPage":"273","endPage":"289","numberOfPages":"40","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":203964,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil, Bolivia","otherGeospatial":"Bahia Vermelha, Brazilian Pantanal, Lagoa Gaiva, Lagoa Madiore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -58.38134765624999,\n -19.202241064923044\n ],\n [\n -56.4312744140625,\n -19.202241064923044\n ],\n [\n -56.4312744140625,\n -16.87289037890777\n ],\n [\n -58.38134765624999,\n -16.87289037890777\n ],\n [\n -58.38134765624999,\n -19.202241064923044\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-07-13","publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a52d7","contributors":{"authors":[{"text":"McGlue, Michael M. mmcglue@usgs.gov","contributorId":4091,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","email":"mmcglue@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":349451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silva, Aguinaldo","contributorId":15750,"corporation":false,"usgs":true,"family":"Silva","given":"Aguinaldo","email":"","affiliations":[],"preferred":false,"id":349452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corradini, Fabricio A.","contributorId":94426,"corporation":false,"usgs":true,"family":"Corradini","given":"Fabricio","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":349456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zani, Hiran","contributorId":29119,"corporation":false,"usgs":true,"family":"Zani","given":"Hiran","email":"","affiliations":[],"preferred":false,"id":349453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trees, Mark A.","contributorId":90861,"corporation":false,"usgs":true,"family":"Trees","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":349455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":349449,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parolin, Mauro","contributorId":42338,"corporation":false,"usgs":true,"family":"Parolin","given":"Mauro","email":"","affiliations":[],"preferred":false,"id":349454,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":349450,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cohen, Andrew S.","contributorId":100989,"corporation":false,"usgs":true,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":349457,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Assine, Mario L.","contributorId":102618,"corporation":false,"usgs":true,"family":"Assine","given":"Mario","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":349458,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70005281,"text":"70005281 - 2011 - Learning and adaptation in the management of waterfowl harvests","interactions":[],"lastModifiedDate":"2021-04-29T18:19:45.259003","indexId":"70005281","displayToPublicDate":"2011-08-29T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Learning and adaptation in the management of waterfowl harvests","docAbstract":"

A formal framework for the adaptive management of waterfowl harvests was adopted by the U.S. Fish and Wildlife Service in 1995. The process admits competing models of waterfowl population dynamics and harvest impacts, and relies on model averaging to compute optimal strategies for regulating harvest. Model weights, reflecting the relative ability of the alternative models to predict changes in population size, are used in the model averaging and are updated each year based on a comparison of model predictions and observations of population size. Since its inception the adaptive harvest program has focused principally on mallards (Anas platyrhynchos), which constitute a large portion of the U.S. waterfowl harvest. Four competing models, derived from a combination of two survival and two reproductive hypotheses, were originally assigned equal weights. In the last year of available information (2007), model weights favored the weakly density-dependent reproductive hypothesis over the strongly density-dependent one, and the additive mortality hypothesis over the compensatory one. The change in model weights led to a more conservative harvesting policy than what was in effect in the early years of the program. Adaptive harvest management has been successful in many ways, but nonetheless has exposed the difficulties in defining management objectives, in predicting and regulating harvests, and in coping with the tradeoffs inherent in managing multiple waterfowl stocks exposed to a common harvest. The key challenge now facing managers is whether adaptive harvest management as an institution can be sufficiently adaptive, and whether the knowledge and experience gained from the process can be reflected in higher-level policy decisions.

","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jenvman.2010.10.064","usgsCitation":"Johnson, F.A., 2011, Learning and adaptation in the management of waterfowl harvests: Journal of Environmental Management, v. 92, no. 5, p. 1385-1394, https://doi.org/10.1016/j.jenvman.2010.10.064.","productDescription":"10 p.","startPage":"1385","endPage":"1394","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":204153,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8053","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":352208,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70003617,"text":"70003617 - 2011 - Mapping permeability over the surface of the Earth","interactions":[],"lastModifiedDate":"2021-02-25T21:37:42.083512","indexId":"70003617","displayToPublicDate":"2011-08-29T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mapping permeability over the surface of the Earth","docAbstract":"

Permeability, the ease of fluid flow through porous rocks and soils, is a fundamental but often poorly quantified component in the analysis of regional‐scale water fluxes. Permeability is difficult to quantify because it varies over more than 13 orders of magnitude and is heterogeneous and dependent on flow direction. Indeed, at the regional scale, maps of permeability only exist for soil to depths of 1–2 m. Here we use an extensive compilation of results from hydrogeologic models to show that regional‐scale (>5 km) permeability of consolidated and unconsolidated geologic units below soil horizons (hydrolithologies) can be characterized in a statistically meaningful way. The representative permeabilities of these hydrolithologies are used to map the distribution of near‐surface (on the order of 100 m depth) permeability globally and over North America. The distribution of each hydrolithology is generally scale independent. The near‐surface mean permeability is of the order of ∼5 × 10−14 m2. The results provide the first global picture of near‐surface permeability and will be of particular value for evaluating global water resources and modeling the influence of climate‐surface‐subsurface interactions on global climate change.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GL045565","usgsCitation":"Gleeson, T., Smith, L., Moosdorf, N., Hartmann, J., Durr, H.H., Manning, A.H., van Beek, L.P., and Jellinek, A.M., 2011, Mapping permeability over the surface of the Earth: Geophysical Research Letters, v. 38, no. 2, L02401, 6 p., https://doi.org/10.1029/2010GL045565.","productDescription":"L02401, 6 p.","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":474928,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl045565","text":"Publisher Index Page"},{"id":204003,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-01-21","publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649805","contributors":{"authors":[{"text":"Gleeson, Tom","contributorId":42694,"corporation":false,"usgs":false,"family":"Gleeson","given":"Tom","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":347969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Leslie","contributorId":52307,"corporation":false,"usgs":true,"family":"Smith","given":"Leslie","email":"","affiliations":[],"preferred":false,"id":347970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moosdorf, Nils","contributorId":71450,"corporation":false,"usgs":true,"family":"Moosdorf","given":"Nils","affiliations":[],"preferred":false,"id":347972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartmann, Jens","contributorId":7573,"corporation":false,"usgs":true,"family":"Hartmann","given":"Jens","affiliations":[],"preferred":false,"id":347967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Durr, Hans H.","contributorId":38851,"corporation":false,"usgs":true,"family":"Durr","given":"Hans","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":347968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":347966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van Beek, Ludovicus P. H.","contributorId":71842,"corporation":false,"usgs":true,"family":"van Beek","given":"Ludovicus","email":"","middleInitial":"P. H.","affiliations":[],"preferred":false,"id":347973,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jellinek, A. Mark","contributorId":54364,"corporation":false,"usgs":true,"family":"Jellinek","given":"A.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":347971,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70003768,"text":"70003768 - 2011 - Increasing accuracy of dispersal kernels in grid-based population models","interactions":[],"lastModifiedDate":"2021-02-12T21:23:48.250503","indexId":"70003768","displayToPublicDate":"2011-08-29T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Increasing accuracy of dispersal kernels in grid-based population models","docAbstract":"

Dispersal kernels in grid-based population models specify the proportion, distance and direction of movements within the model landscape. Spatial errors in dispersal kernels can have large compounding effects on model accuracy. Circular Gaussian and Laplacian dispersal kernels at a range of spatial resolutions were investigated, and methods for minimizing errors caused by the discretizing process were explored. Kernels of progressively smaller sizes relative to the landscape grid size were calculated using cell-integration and cell-center methods. These kernels were convolved repeatedly, and the final distribution was compared with a reference analytical solution. For large Gaussian kernels (σ > 10 cells), the total kernel error was <10−11 compared to analytical results. Using an invasion model that tracked the time a population took to reach a defined goal, the discrete model results were comparable to the analytical reference. With Gaussian kernels that had σ ≤ 0.12 using the cell integration method, or σ ≤ 0.22 using the cell center method, the kernel error was greater than 10%, which resulted in invasion times that were orders of magnitude different than theoretical results. A goal-seeking routine was developed to adjust the kernels to minimize overall error. With this, corrections for small kernels were found that decreased overall kernel error to <10−11 and invasion time error to <5%.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2010.11.023","usgsCitation":"Slone, D., 2011, Increasing accuracy of dispersal kernels in grid-based population models: Ecological Modelling, v. 222, no. 3, p. 573-579, https://doi.org/10.1016/j.ecolmodel.2010.11.023.","productDescription":"7 p.","startPage":"573","endPage":"579","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":204154,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"222","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad4e4b07f02db68311f","contributors":{"authors":[{"text":"Slone, D. H. 0000-0002-9903-9727","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":33040,"corporation":false,"usgs":true,"family":"Slone","given":"D. H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":348781,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70204950,"text":"70204950 - 2011 - The interactions between vegetation and erosion: new directions for research at the interface of ecology and geomorphology","interactions":[],"lastModifiedDate":"2019-08-26T11:59:22","indexId":"70204950","displayToPublicDate":"2011-08-26T11:52:30","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"The interactions between vegetation and erosion: new directions for research at the interface of ecology and geomorphology","docAbstract":"

Vegetation and processes of erosion and deposition are interactive. An objective of this paper is to review selected studies that emphasize the interdependencies. The reviews suggest new directions for research uniting ecology and geomorphology – the sub‐discipline of biogeomorphology. The research, which recently has become vigorous, includes the sources, movement, and fates of fluvial loads of sediment, organic carbon, nutrients, contaminants, and woody debris to low‐energy storage sites; the function of biota in causing soil evolution, stability, and sequestration of carbon; the development of new methods to characterize watersheds based on edaphic conditions; and the refinement of current empirical and conceptual models and dendrochronological techniques to measure landscape change. These well acknowledged topics and others less well anticipated ensure that biogeomorphology will remain vibrant.

","publisher":"Wiley","doi":"10.1002/esp.2173","usgsCitation":"Osterkamp, W., Hupp, C.R., and Stoffel, M., 2011, The interactions between vegetation and erosion: new directions for research at the interface of ecology and geomorphology: Earth Surface Processes and Landforms, no. 37, p. 23-36, https://doi.org/10.1002/esp.2173.","productDescription":"14 p.","startPage":"23","endPage":"36","numberOfPages":"14","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":486991,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/3409631","text":"External Repository"},{"id":366915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"37","noUsgsAuthors":false,"publicationDate":"2011-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Osterkamp, Waite wroster@usgs.gov","contributorId":2515,"corporation":false,"usgs":true,"family":"Osterkamp","given":"Waite","email":"wroster@usgs.gov","affiliations":[],"preferred":true,"id":769229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":769226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoffel, M.","contributorId":202959,"corporation":false,"usgs":false,"family":"Stoffel","given":"M.","email":"","affiliations":[{"id":36561,"text":"Climatic Change and Climate Impacts, Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":769227,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004883,"text":"70004883 - 2011 - Landscape matrix mediates occupancy dynamics of Neotropical avian insectivores","interactions":[],"lastModifiedDate":"2021-02-12T21:14:08.963501","indexId":"70004883","displayToPublicDate":"2011-08-25T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Landscape matrix mediates occupancy dynamics of Neotropical avian insectivores","docAbstract":"

In addition to patch‐level attributes (i.e., area and isolation), the nature of land cover between habitat patches (the matrix) may drive colonization and extinction dynamics in fragmented landscapes. Despite a long‐standing recognition of matrix effects in fragmented systems, an understanding of the relative impacts of different types of land cover on patterns and dynamics of species occurrence remains limited. We employed multi‐season occupancy models to determine the relative influence of patch area, patch isolation, within‐patch vegetation structure, and landscape matrix on occupancy dynamics of nine Neotropical insectivorous birds in 99 forest patches embedded in four matrix types (agriculture, suburban development, bauxite mining, and forest) in central Jamaica. We found that within‐patch vegetation structure and the matrix type between patches were more important than patch area and patch isolation in determining local colonization and local extinction probabilities, and that the effects of patch area, isolation, and vegetation structure on occupancy dynamics tended to be matrix and species dependent. Across the avian community, the landscape matrix influenced local extinction more than local colonization, indicating that extinction processes, rather than movement, likely drive interspecific differences in occupancy dynamics. These findings lend crucial empirical support to the hypothesis that species occupancy dynamics in fragmented systems may depend greatly upon the landscape context.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-1044.1","usgsCitation":"Kennedy, C.M., Campbell Grant, E.H., Neel, M.C., Fagan, W., and Marra, P.P., 2011, Landscape matrix mediates occupancy dynamics of Neotropical avian insectivores: Ecological Applications, v. 21, no. 5, p. 1837-1850, https://doi.org/10.1890/10-1044.1.","productDescription":"14 p.","startPage":"1837","endPage":"1850","numberOfPages":"14","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":203861,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Jamaica","state":"Clarendon Parish, Manchester Parish","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.7777099609375,\n 17.86374708440522\n ],\n [\n -77.43438720703125,\n 17.86374708440522\n ],\n [\n -77.43438720703125,\n 18.237177371422433\n ],\n [\n -77.7777099609375,\n 18.237177371422433\n ],\n [\n -77.7777099609375,\n 17.86374708440522\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6abadc","contributors":{"authors":[{"text":"Kennedy, Christina M.","contributorId":67205,"corporation":false,"usgs":true,"family":"Kennedy","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":351584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":351582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neel, Maile C.","contributorId":26052,"corporation":false,"usgs":true,"family":"Neel","given":"Maile","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":351583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fagan, William F.","contributorId":108239,"corporation":false,"usgs":true,"family":"Fagan","given":"William F.","affiliations":[],"preferred":false,"id":351585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marra, Peter P.","contributorId":190140,"corporation":false,"usgs":false,"family":"Marra","given":"Peter","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":351581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70005271,"text":"ofr20111220 - 2011 - Summary report of responses of key resources to the 2000 Low Steady Summer Flow experiment, along the Colorado River downstream from Glen Canyon Dam, Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:12:00","indexId":"ofr20111220","displayToPublicDate":"2011-08-25T00:00:00","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":"2011-1220","title":"Summary report of responses of key resources to the 2000 Low Steady Summer Flow experiment, along the Colorado River downstream from Glen Canyon Dam, Arizona","docAbstract":"In the spring and summer of 2000, a series of steady discharges of water from Glen Canyon Dam on the Colorado River were used to evaluate the effects of aquatic habitat stability and water temperatures on native fish growth and survival, with a special focus on the endangered humpback chub (Gila cypha), downstream from the dam in Grand Canyon. The steady releases were bracketed by peak powerplant releases in late-May and early-September. The duration and volume of releases from the dam varied between spring and summer. The intent of the experimental hydrograph was to mimic predam river discharge patterns by including a high, steady discharge in the spring and a low, steady discharge in the summer. The hydrologic experiment was called the Low Steady Summer Flow (LSSF) experiment because steady discharges of 226 m3/s dominated the hydrograph for 4 months from June through September 2000. The experimental hydrograph was developed in response to one of the U.S. Fish and Wildlife Service's Recommended and Prudent Alternatives (RPA) in its Biological Opinion of the Operation of Glen Canyon Dam Final Environmental Impact Statement. The RPA focused on the hypothesis that seasonally adjusted steady flows were dam operations that might benefit humpback chub more than the Record of Decision operations, known as Modified Low Fluctuating Flow (MLFF) operations. Condensed timelines between planning and implementation (2 months) of the experiment and the time required for logistics, purchasing, and contracting resulted in limited data collection during the high-release part of the experiment that occurred in spring. The LSSF experiment is the longest planned hydrograph that departed from the MLFF operations since Record of Decision operations began in 1996. As part of the experiment, several studies focused on the responses of physical properties related to environments that young-of-year (YOY) native fish might occupy (for example, measuring mainstem and shoreline water temperature, and quantifying useable shorelines). The part of the hydrograph that included a habitat maintenance flow (a 4-day spike at a powerplant capacity of 877 m3/s) and sustained high releases in April and May (averaging 509 m3/s) resulted in sediment export to Lake Mead, the reservoir downstream from Glen Canyon Dam, which is outside the study area. Some mid-elevation sandbar building (between 566 and 877 m3/s stage elevations) occurred from existing sediment deposits rather than from sediment inputs from tributaries during the previous winter. Low releases in the summer combined with low tributary sediment inputs resulted in minor sediment accumulation in the study area. The September habitat maintenance flow reworked accumulated sediment and resulted in increases in the area of some backwaters. The mainstem water temperatures in the reach near the Little Colorado River during the LSSF experiment varied little from previous years. Mainstem water temperatures in western Grand Canyon average 17 to 20 degrees C. During the LSSF, backwaters warmed more than other shoreline environments during the day, but most backwaters returned to mainstem water temperatures overnight. Shoreline surface water temperatures from river mile (RM) 30 to 72 varied between 9 and 28 degrees C in the middle of the day in July. These temperatures are within the optimal temperature range for humpback chub growth and spawning, which is between 15 and 24 degrees C. How surface water temperatures transfer to subsurface water temperatures is unknown. Data collection associated with the response of fish to the 2000 LSSF hydrograph focused on fish growth and abundance along the Colorado River in Grand Canyon. The target resource, humpback chub and other native fishes, did not respond in a strongly positive or strongly negative manner to the LSSF hydrograph during the sampling period, which extended from June to September 2000. In 2000, the mean total length of YOY native fishes was similar to the mean ","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111220","usgsCitation":"Ralston, B., 2011, Summary report of responses of key resources to the 2000 Low Steady Summer Flow experiment, along the Colorado River downstream from Glen Canyon Dam, Arizona: U.S. Geological Survey Open-File Report 2011-1220, iv, 110 p.; Appendices, https://doi.org/10.3133/ofr20111220.","productDescription":"iv, 110 p.; Appendices","startPage":"i","endPage":"129","numberOfPages":"133","costCenters":[],"links":[{"id":126280,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1220.gif"},{"id":91842,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1220/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.58333333333333,35.083333333333336 ], [ -114.58333333333333,37.416666666666664 ], [ -110.83333333333333,37.416666666666664 ], [ -110.83333333333333,35.083333333333336 ], [ -114.58333333333333,35.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db697fa4","contributors":{"authors":[{"text":"Ralston, Barbara E.","contributorId":89848,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara E.","affiliations":[],"preferred":false,"id":352193,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005249,"text":"70005249 - 2011 - Land use and climate influences on waterbirds in the Prairie Potholes","interactions":[],"lastModifiedDate":"2021-04-29T17:46:10.094467","indexId":"70005249","displayToPublicDate":"2011-08-25T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Land use and climate influences on waterbirds in the Prairie Potholes","docAbstract":"

Aim We examined the influences of regional climate and land‐use variables on mallard (Anas platyrhynchos), blue‐winged teal (Anas discors), ruddy duck (Oxyura jamaicensis) and pied‐billed grebe (Podilymbus podiceps) abundances to inform conservation planning in the Prairie Pothole Region of the United States.

Location The US portion of Bird Conservation Region 11 (US‐BCR11, the Prairie Potholes), which encompasses six states within the United States: Montana, North Dakota, South Dakota, Nebraska, Minnesota and Iowa.

Methods We used data from the North American Breeding Bird Survey (NABBS), the National Land Cover Data Set, and the National Climatic Data Center to model the effects of environmental variables on waterbird abundance. We evaluated land‐use covariates at three logarithmically related spatial scales (1000, 10,000 and 100,000 ha), and constructed hierarchical spatial count models a priori using information from published habitat associations. Model fitting was performed using a hierarchical modelling approach within a Bayesian framework.

Results Models with the same variables expressed at different scales were often in the best model subset, indicating that the influence of spatial scale was small. Both land‐use and climate variables contributed strongly to predicting waterbird abundance in US‐BCR11. The strongest positive influences on waterbird abundance were the percentage of wetland area across all three spatial scales, herbaceous vegetation and precipitation variables. Other variables that we included in our models did not appear to influence waterbirds in this study.

Main conclusions Understanding the relationships of waterbird abundance to climate and land use may allow us to make predictions of future distribution and abundance as environmental factors change. Additionally, results from this study can suggest locations where conservation and management efforts should be focused.

","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-2699.2011.02510.x","usgsCitation":"Forcey, G.M., Thogmartin, W.E., Linz, G.M., Bleier, W.J., and McKann, P., 2011, Land use and climate influences on waterbirds in the Prairie Potholes: Journal of Biogeography, v. 38, no. 9, p. 1694-1707, https://doi.org/10.1111/j.1365-2699.2011.02510.x.","productDescription":"14 p.","startPage":"1694","endPage":"1707","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":203941,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Montana, Nebraska, North Dakota, South Dakota","otherGeospatial":"Prairie Potholes region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.3720703125,\n 44.62175409623324\n ],\n [\n -95.4052734375,\n 42.85985981506279\n ],\n [\n -93.80126953124999,\n 41.409775832009565\n ],\n [\n -93.0322265625,\n 42.147114459220994\n ],\n [\n -93.22998046875,\n 43.61221676817573\n ],\n [\n -95.00976562499999,\n 45.3521452458518\n ],\n [\n -96.17431640625,\n 47.76886840424207\n ],\n [\n -95.7568359375,\n 48.951366470947725\n ],\n [\n -96.04248046875,\n 48.99463598353405\n ],\n [\n -110.25878906249999,\n 48.96579381461063\n ],\n [\n -109.7314453125,\n 47.62097541515849\n ],\n [\n -108.74267578125,\n 47.100044694025215\n ],\n [\n -107.2705078125,\n 47.39834920035926\n ],\n [\n -106.435546875,\n 47.502358951968574\n ],\n [\n -105.09521484375,\n 47.39834920035926\n ],\n [\n -103.974609375,\n 47.57652571374621\n ],\n [\n -103.22753906249999,\n 47.81315451752768\n ],\n [\n -102.10693359375,\n 47.12995075666307\n ],\n [\n -101.77734374999999,\n 46.76996843356982\n ],\n [\n -101.3818359375,\n 45.75219336063106\n ],\n [\n -101.27197265625,\n 44.512176171071054\n ],\n [\n -100.87646484375,\n 43.8503744993026\n ],\n [\n -99.29443359375,\n 42.61779143282346\n ],\n [\n -97.80029296875,\n 42.407234661551875\n ],\n [\n -97.05322265625,\n 43.32517767999296\n ],\n [\n -96.3720703125,\n 44.62175409623324\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-04-27","publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae953","contributors":{"authors":[{"text":"Forcey, Greg M.","contributorId":82835,"corporation":false,"usgs":true,"family":"Forcey","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":352157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":352153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Linz, George M.","contributorId":32859,"corporation":false,"usgs":true,"family":"Linz","given":"George","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":352155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bleier, William J.","contributorId":66833,"corporation":false,"usgs":true,"family":"Bleier","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":352156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKann, Patrick C.","contributorId":14940,"corporation":false,"usgs":true,"family":"McKann","given":"Patrick C.","affiliations":[],"preferred":false,"id":352154,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70005264,"text":"ofr20111214 - 2011 - Probability and volume of potential postwildfire debris flows in the 2011 Wallow burn area, eastern Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:59","indexId":"ofr20111214","displayToPublicDate":"2011-08-24T00:00:00","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":"2011-1214","title":"Probability and volume of potential postwildfire debris flows in the 2011 Wallow burn area, eastern Arizona","docAbstract":"This report presents a preliminary emergency assessment of the debris-flow hazards from drainage basins burned in 2011 by the Wallow wildfire in eastern Arizona. Empirical models derived from statistical evaluation of data collected from recently burned drainage basins throughout the intermountain western United States were used to estimate the probability of debris-flow occurrence and debris-flow volumes for selected drainage basins. Input for the models include measures of burn severity, topographic characteristics, soil properties, and rainfall total and intensity for a (1) 10-year-recurrence, 1-hour-duration rainfall and (2) 25-year-recurrence, 1-hour-duration rainfall. Estimated debris-flow probabilities in the drainage basins of interest ranged from less than 1 percent in response to both the 10-year-recurrence, 1-hour-duration rainfall and the 25-year-recurrence, 1-hour-duration rainfall to a high of 41 percent in response to the 25-year-recurrence, 1-hour-duration rainfall. The low probabilities in all modeled drainage basins are likely due to extensive low-gradient hillslopes, burned at low severities, and large drainage-basin areas (greater than 25 square kilometers). Estimated debris-flow volumes ranged from a low of 24 cubic meters to a high of greater than 100,000 cubic meters, indicating a considerable hazard should debris flows occur","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111214","usgsCitation":"Ruddy, B.C., 2011, Probability and volume of potential postwildfire debris flows in the 2011 Wallow burn area, eastern Arizona: U.S. Geological Survey Open-File Report 2011-1214, iv, 11 p., https://doi.org/10.3133/ofr20111214.","productDescription":"iv, 11 p.","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116986,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1214.gif"},{"id":91838,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1214/","linkFileType":{"id":5,"text":"html"}}],"state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.58333333333333,33.5 ], [ -109.58333333333333,34.166666666666664 ], [ -109,34.166666666666664 ], [ -109,33.5 ], [ -109.58333333333333,33.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689f64","contributors":{"authors":[{"text":"Ruddy, Barbara C. bcruddy@usgs.gov","contributorId":4163,"corporation":false,"usgs":true,"family":"Ruddy","given":"Barbara","email":"bcruddy@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":352184,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005072,"text":"70005072 - 2011 - Detection biases yield misleading patterns of species persistence and colonization in fragmented landscapes","interactions":[],"lastModifiedDate":"2012-02-10T00:11:59","indexId":"70005072","displayToPublicDate":"2011-08-24T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Detection biases yield misleading patterns of species persistence and colonization in fragmented landscapes","docAbstract":"Species occurrence patterns, and related processes of persistence, colonization and turnover, are increasingly being used to infer habitat suitability, predict species distributions, and measure biodiversity potential. The majority of these studies do not account for observational error in their analyses despite growing evidence suggesting that the sampling process can significantly influence species detection and subsequently, estimates of occurrence. We examined the potential biases of species occurrence patterns that can result from differences in detectability across species and habitat types using hierarchical multispecies occupancy models applied to a tropical bird community in an agricultural fragmented landscape. Our results suggest that detection varies widely among species and habitat types. Not incorporating detectability severely biased occupancy dynamics for many species by overestimating turnover rates, producing misleading patterns of persistence and colonization of agricultural habitats, and misclassifying species into ecological categories (i.e., forest specialists and generalists). This is of serious concern, given that most research on the ability of agricultural lands to maintain current levels of biodiversity by and large does not correct for differences in detectability. We strongly urge researchers to apply an inferential framework which explicitly account for differences in detectability to fully characterize species-habitat relationships, correctly guide biodiversity conservation in human-modified landscapes, and generate more accurate predictions of species responses to future changes in environmental conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/ES10-00207.1","usgsCitation":"Ruiz-Gutierrez, V., and Zipkin, E., 2011, Detection biases yield misleading patterns of species persistence and colonization in fragmented landscapes: Ecosphere, v. 2, no. 5, p. 1-14, https://doi.org/10.1890/ES10-00207.1.","productDescription":"14 p.; Article 61","startPage":"1","endPage":"14","numberOfPages":"14","temporalStart":"2004-05-01","temporalEnd":"2008-09-30","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474929,"rank":201,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es10-00207.1","text":"Publisher Index Page"},{"id":203914,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":24531,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1890/ES10-00207.1","linkFileType":{"id":5,"text":"html"}}],"country":"Costa Rica","otherGeospatial":"Las Cruces Biological Station","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.5,8 ], [ -86.5,11.25 ], [ -82.33333333333333,11.25 ], [ -82.33333333333333,8 ], [ -86.5,8 ] ] ] } } ] }","volume":"2","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667a42","contributors":{"authors":[{"text":"Ruiz-Gutierrez, Viviana","contributorId":89654,"corporation":false,"usgs":true,"family":"Ruiz-Gutierrez","given":"Viviana","email":"","affiliations":[],"preferred":false,"id":351929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":351928,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004548,"text":"70004548 - 2011 - Incorporating parametric uncertainty into population viability analysis models","interactions":[],"lastModifiedDate":"2021-01-06T16:14:01.037952","indexId":"70004548","displayToPublicDate":"2011-08-23T00:00:00","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":"Incorporating parametric uncertainty into population viability analysis models","docAbstract":"

Uncertainty in parameter estimates from sampling variation or expert judgment can introduce substantial uncertainty into ecological predictions based on those estimates. However, in standard population viability analyses, one of the most widely used tools for managing plant, fish and wildlife populations, parametric uncertainty is often ignored in or discarded from model projections. We present a method for explicitly incorporating this source of uncertainty into population models to fully account for risk in management and decision contexts. Our method involves a two-step simulation process where parametric uncertainty is incorporated into the replication loop of the model and temporal variance is incorporated into the loop for time steps in the model. Using the piping plover, a federally threatened shorebird in the USA and Canada, as an example, we compare abundance projections and extinction probabilities from simulations that exclude and include parametric uncertainty. Although final abundance was very low for all sets of simulations, estimated extinction risk was much greater for the simulation that incorporated parametric uncertainty in the replication loop. Decisions about species conservation (e.g., listing, delisting, and jeopardy) might differ greatly depending on the treatment of parametric uncertainty in population models.

","language":"English","publisher":"Elsevier","publisherLocation":"Netherlands","doi":"10.1016/j.biocon.2011.01.005","usgsCitation":"McGowan, C., Runge, M.C., and Larson, M.A., 2011, Incorporating parametric uncertainty into population viability analysis models: Biological Conservation, v. 144, no. 5, p. 1400-1408, https://doi.org/10.1016/j.biocon.2011.01.005.","productDescription":"9 p.","startPage":"1400","endPage":"1408","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204096,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"144","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f25cb","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":350689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":350688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Michael A.","contributorId":15752,"corporation":false,"usgs":true,"family":"Larson","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":350690,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157558,"text":"70157558 - 2011 - Digital hydrologic networks supporting applications related to spatially referenced regression modeling","interactions":[],"lastModifiedDate":"2015-09-30T11:53:13","indexId":"70157558","displayToPublicDate":"2011-08-22T13:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Digital hydrologic networks supporting applications related to spatially referenced regression modeling","docAbstract":"

Digital hydrologic networks depicting surface-water pathways and their associated drainage catchments provide a key component to hydrologic analysis and modeling. Collectively, they form common spatial units that can be used to frame the descriptions of aquatic and watershed processes. In addition, they provide the ability to simulate and route the movement of water and associated constituents throughout the landscape. Digital hydrologic networks have evolved from derivatives of mapping products to detailed, interconnected, spatially referenced networks of water pathways, drainage areas, and stream and watershed characteristics. These properties are important because they enhance the ability to spatially evaluate factors that affect the sources and transport of water-quality constituents at various scales. SPAtially Referenced Regressions On Watershed attributes (SPARROW), a process-based ⁄ statistical model, relies on a digital hydrologic network in order to establish relations between quantities of monitored contaminant flux, contaminant sources, and the associated physical characteristics affecting contaminant transport. Digital hydrologic networks modified from the River Reach File (RF1) and National Hydrography Dataset (NHD) geospatial datasets provided frameworks for SPARROW in six regions of the conterminous United States. In addition, characteristics of the modified RF1 were used to update estimates of mean-annual streamflow. This produced more current flow estimates for use in SPARROW modeling.

","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/j.1752-1688.2011.00578.x","usgsCitation":"Brakebill, J.W., Wolock, D.M., and Terziotti, S., 2011, Digital hydrologic networks supporting applications related to spatially referenced regression modeling: Journal of the American Water Resources Association, v. 47, no. 5, p. 916-932, https://doi.org/10.1111/j.1752-1688.2011.00578.x.","productDescription":"17 p.","startPage":"916","endPage":"932","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-017266","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":474930,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00578.x","text":"External Repository"},{"id":309374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"560d07aee4b058f706e542fd","contributors":{"authors":[{"text":"Brakebill, John W. 0000-0001-9235-6810 jwbrakeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9235-6810","contributorId":1061,"corporation":false,"usgs":true,"family":"Brakebill","given":"John","email":"jwbrakeb@usgs.gov","middleInitial":"W.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":573597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":573596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, Silvia 0000-0003-3559-5844 seterzio@usgs.gov","orcid":"https://orcid.org/0000-0003-3559-5844","contributorId":1613,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia","email":"seterzio@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":573598,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173749,"text":"70173749 - 2011 - A multi-species framework for landscape conservation planning","interactions":[],"lastModifiedDate":"2016-06-21T15:14:19","indexId":"70173749","displayToPublicDate":"2011-08-22T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"A multi-species framework for landscape conservation planning","docAbstract":"

 Rapidly changing landscapes have spurred the need for quantitative methods for conservation assessment and planning that encompass large spatial extents. We devised and tested a multispecies framework for conservation planning to complement single-species assessments and ecosystem-level approaches. Our framework consisted of 4 elements: sampling to effectively estimate population parameters, measuring how human activity affects landscapes at multiple scales, analyzing the relation between landscape characteristics and individual species occurrences, and evaluating and comparing the responses of multiple species to landscape modification. We applied the approach to a community of terrestrial birds across 25,000 km2 with a range of intensities of human development. Human modification of land cover, road density, and other elements of the landscape, measured at multiple spatial extents, had large effects on occupancy of the 67 species studied. Forest composition within 1 km of points had a strong effect on occupancy of many species and a range of negative, intermediate, and positive associations. Road density within 1 km of points, percent evergreen forest within 300 m, and distance from patch edge were also strongly associated with occupancy for many species. We used the occupancy results to group species into 11 guilds that shared patterns of association with landscape characteristics. Our multispecies approach to conservation planning allowed us to quantify the trade-offs of different scenarios of land-cover change in terms of species occupancy.

","language":"English","publisher":"Wiley","doi":"10.1111/j.1523-1739.2011.01723.x","usgsCitation":"Schwenk, W.S., and Donovan, T., 2011, A multi-species framework for landscape conservation planning: Conservation Biology, v. 25, no. 5, p. 1010-1021, https://doi.org/10.1111/j.1523-1739.2011.01723.x.","productDescription":"12 p.","startPage":"1010","endPage":"1021","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023203","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"576a652ee4b07657d1a11cde","contributors":{"authors":[{"text":"Schwenk, W. Scott","contributorId":172274,"corporation":false,"usgs":false,"family":"Schwenk","given":"W.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":640123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese tdonovan@usgs.gov","contributorId":171599,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638061,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}