{"pageNumber":"569","pageRowStart":"14200","pageSize":"25","recordCount":46681,"records":[{"id":70047133,"text":"70047133 - 2013 - Influence of multi-source and multi-temporal remotely sensed and ancillary data on the accuracy of random forest classification of wetlands in northern Minnesota","interactions":[],"lastModifiedDate":"2013-07-22T11:19:03","indexId":"70047133","displayToPublicDate":"2013-07-22T11:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Influence of multi-source and multi-temporal remotely sensed and ancillary data on the accuracy of random forest classification of wetlands in northern Minnesota","docAbstract":"Wetland mapping at the landscape scale using remotely sensed data requires both affordable data and an efficient accurate classification method. Random forest classification offers several advantages over traditional land cover classification techniques, including a bootstrapping technique to generate robust estimations of outliers in the training data, as well as the capability of measuring classification confidence. Though the random forest classifier can generate complex decision trees with a multitude of input data and still not run a high risk of over fitting, there is a great need to reduce computational and operational costs by including only key input data sets without sacrificing a significant level of accuracy. Our main questions for this study site in Northern Minnesota were: (1) how does classification accuracy and confidence of mapping wetlands compare using different remote sensing platforms and sets of input data; (2) what are the key input variables for accurate differentiation of upland, water, and wetlands, including wetland type; and (3) which datasets and seasonal imagery yield the best accuracy for wetland classification. Our results show the key input variables include terrain (elevation and curvature) and soils descriptors (hydric), along with an assortment of remotely sensed data collected in the spring (satellite visible, near infrared, and thermal bands; satellite normalized vegetation index and Tasseled Cap greenness and wetness; and horizontal-horizontal (HH) and horizontal-vertical (HV) polarization using L-band satellite radar). We undertook this exploratory analysis to inform decisions by natural resource managers charged with monitoring wetland ecosystems and to aid in designing a system for consistent operational mapping of wetlands across landscapes similar to those found in Northern Minnesota.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","doi":"10.3390/rs5073212","usgsCitation":"Corcoran, J.M., Knight, J.F., and Gallant, A.L., 2013, Influence of multi-source and multi-temporal remotely sensed and ancillary data on the accuracy of random forest classification of wetlands in northern Minnesota: Remote Sensing, v. 5, no. 7, p. 3212-3238, https://doi.org/10.3390/rs5073212.","productDescription":"27 p.","startPage":"3212","endPage":"3238","ipdsId":"IP-042123","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs5073212","text":"Publisher Index Page"},{"id":275209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275208,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs5073212"}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,43.5 ], [ -97.24,49.38 ], [ -89.49,49.38 ], [ -89.49,43.5 ], [ -97.24,43.5 ] ] ] } } ] }","volume":"5","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-04","publicationStatus":"PW","scienceBaseUri":"51ee4655e4b00ffbed48f851","contributors":{"authors":[{"text":"Corcoran, Jennifer M.","contributorId":66575,"corporation":false,"usgs":true,"family":"Corcoran","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Joseph F.","contributorId":55311,"corporation":false,"usgs":true,"family":"Knight","given":"Joseph","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":481151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":481150,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047131,"text":"ds773 - 2013 - Archive of Digital boomer subbottom data collected during USGS cruises 99FGS01 and 99FGS02 offshore southeast and southwest Florida, July and November, 1999","interactions":[],"lastModifiedDate":"2013-07-22T10:29:03","indexId":"ds773","displayToPublicDate":"2013-07-22T10:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"773","title":"Archive of Digital boomer subbottom data collected during USGS cruises 99FGS01 and 99FGS02 offshore southeast and southwest Florida, July and November, 1999","docAbstract":"In July (19 - 26) and November (17 - 18) of 1999, the USGS, in cooperation with the Florida Geological Survey (FGS), conducted two geophysical surveys in: (1) the Atlantic Ocean offshore of Florida's east coast from Orchid to Jupiter, FL, and (2) the Gulf of Mexico offshore of Venice, FL. This report serves as an archive of unprocessed digital boomer subbottom data, trackline maps, navigation files, GIS files, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained (showing a relative increase in signal amplitude) digital images of the subbottom profiles are also provided.\n\nThe USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) assigns a unique identifier to each cruise or field activity. For example, identifiers 99FGS01 and 99FGS02 refer to field data collected in 1999 for cooperative work with the FGS. The numbers 01 and 02 indicate the data were collected during the first and second field activities for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity identification (ID).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds773","usgsCitation":"Forde, A.S., Dadisman, S.V., Wiese, D.S., and Phelps, D.C., 2013, Archive of Digital boomer subbottom data collected during USGS cruises 99FGS01 and 99FGS02 offshore southeast and southwest Florida, July and November, 1999: U.S. Geological Survey Data Series 773, HTML Document; 1 DVD, https://doi.org/10.3133/ds773.","productDescription":"HTML Document; 1 DVD","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1999-07-01","temporalEnd":"1999-11-30","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds773.PNG"},{"id":275202,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/773/"},{"id":275203,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/773/title.html"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.0,26.166667 ], [ -83.0,28.5 ], [ -79.833333,28.5 ], [ -79.833333,26.166667 ], [ -83.0,26.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee464ee4b00ffbed48f841","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":481144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phelps, Daniel C.","contributorId":88194,"corporation":false,"usgs":true,"family":"Phelps","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481146,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047130,"text":"ds772 - 2013 - Archive of digital chirp subbottom profile data collected during USGS cruise 11BIM01 Offshore of the Chandeleur Islands, Louisiana, June 2011","interactions":[],"lastModifiedDate":"2013-07-22T09:58:29","indexId":"ds772","displayToPublicDate":"2013-07-22T09:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"772","title":"Archive of digital chirp subbottom profile data collected during USGS cruise 11BIM01 Offshore of the Chandeleur Islands, Louisiana, June 2011","docAbstract":"From June 3 to 13, 2011, the U.S. Geological Survey conducted a geophysical survey to investigate the geologic controls on barrier island framework and long-term sediment transport along the oil spill mitigation sand berm constructed at the north end and just offshore of the Chandeleur Islands, LA. This effort is part of a broader USGS study, which seeks to better understand barrier island evolution over medium time scales (months to years). This report serves as an archive of unprocessed digital chirp subbottom data, trackline maps, navigation files, Geographic Information System (GIS) files, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata. Gained (showing a relative increase in signal amplitude) digital images of the seismic profiles are also provided.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds772","usgsCitation":"Forde, A.S., Dadisman, S.V., Miselis, J.L., Flocks, J.G., and Wiese, D.S., 2013, Archive of digital chirp subbottom profile data collected during USGS cruise 11BIM01 Offshore of the Chandeleur Islands, Louisiana, June 2011: U.S. Geological Survey Data Series 772, HTML Document; 7 DVDs, https://doi.org/10.3133/ds772.","productDescription":"HTML Document; 7 DVDs","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2011-06-01","temporalEnd":"2011-06-30","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds772.PNG"},{"id":275198,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/772/"},{"id":275199,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/772/title.html"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.033333,29.866667 ], [ -89.033333,30.116667 ], [ -88.683333,30.116667 ], [ -88.683333,29.866667 ], [ -89.033333,29.866667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee4654e4b00ffbed48f845","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":481140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481141,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047129,"text":"ofr20131136 - 2013 - Review of revised Klamath River Total Maximum Daily Load models from Link River Dam to Keno Dam, Oregon","interactions":[],"lastModifiedDate":"2013-07-22T09:29:47","indexId":"ofr20131136","displayToPublicDate":"2013-07-22T09:22:00","publicationYear":"2013","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":"2013-1136","title":"Review of revised Klamath River Total Maximum Daily Load models from Link River Dam to Keno Dam, Oregon","docAbstract":"Flow and water-quality models are being used to support the development of Total Maximum Daily Load (TMDL) plans for the Klamath River downstream of Upper Klamath Lake (UKL) in south-central Oregon. For riverine reaches, the RMA-2 and RMA-11 models were used, whereas the CE-QUAL-W2 model was used to simulate pooled reaches. The U.S. Geological Survey (USGS) was asked to review the most upstream of these models, from Link River Dam at the outlet of UKL downstream through the first pooled reach of the Klamath River from Lake Ewauna to Keno Dam. Previous versions of these models were reviewed in 2009 by USGS. Since that time, important revisions were made to correct several problems and address other issues. This review documents an assessment of the revised models, with emphasis on the model revisions and any remaining issues.\n\nThe primary focus of this review is the 19.7-mile Lake Ewauna to Keno Dam reach of the Klamath River that was simulated with the CE-QUAL-W2 model. Water spends far more time in the Lake Ewauna to Keno Dam reach than in the 1-mile Link River reach that connects UKL to the Klamath River, and most of the critical reactions affecting water quality upstream of Keno Dam occur in that pooled reach. This model review includes assessments of years 2000 and 2002 current conditions scenarios, which were used to calibrate the model, as well as a natural conditions scenario that was used as the reference condition for the TMDL and was based on the 2000 flow conditions. The natural conditions scenario included the removal of Keno Dam, restoration of the Keno reef (a shallow spot that was removed when the dam was built), removal of all point-source inputs, and derivation of upstream boundary water-quality inputs from a previously developed UKL TMDL model.\n\nThis review examined the details of the models, including model algorithms, parameter values, and boundary conditions; the review did not assess the draft Klamath River TMDL or the TMDL allocations. Attention to the details of a model is one of the best ways to identify potential problems, correct them if possible, and begin to assess the magnitude of potential model errors and uncertainty. Model users need to determine the level of acceptable uncertainty associated with their objectives, identify all sources of potential uncertainty (model uncertainty, data uncertainty, etc.), and assess their approach and results accordingly. In the draft Klamath River TMDL, the Oregon Department of Environmental Quality identified the upstream boundary conditions as the largest source of uncertainty for both the current and natural conditions scenarios, not the model algorithms or choice of model parameters. We agree that the upstream boundary conditions are one of the largest, if not the largest, source of model uncertainty; therefore, the derivation of upstream boundary conditions may be more important to the TMDL than some other model-related issues identified in this review.\n\nThe revised models contain a number of changes, some of which were done to solve small problems and are largely inconsequential to model results, but others of which are important and affect model predictions of instream concentrations. A consistent version of the model is now applied to all scenarios, and an error in the source code was corrected that had inadvertently discarded 20 percent of the incoming solar radiation in the original model. The baseline light-extinction coefficient for water was decreased and set to a consistent and defensible value across all models of reservoir reaches. Inconsistencies among the values of certain parameters in the original models, such as the ammonia nitrification rate and the decomposition rates of organic matter, have been eliminated, although the reasoning behind the final selections was not documented. The dependence of the rate of sediment oxygen demand (SOD) on temperature was modified such that the SOD rate was substantially decreased at temperatures less than 20°C, causing the model to predict higher dissolved oxygen (DO) concentrations in spring, autumn, and winter. Although that change to the temperature dependence function was done to make the function more similar to the model’s default, this change was not accompanied by any documentation of recalibration or sensitivity exercises. The maximum SOD rate for the 2002 current conditions scenario was decreased from 3.0 grams per square meter per day (g/m<sup>2</sup>/d) in the original model to 2.0 g/m<sup>2</sup>/d in the revised model, a considerable adjustment that appears to have been needed to offset effects of a change to another variable (O2LIM) that would have resulted in a substantial increase in the effective SOD rate for 2002. A 50-percent decrease in the SOD rate over a 2-year period, however, is not likely to be mirrored by field measurements, so this change may be compensating for some process that is not represented correctly in the DO budget for the current conditions scenarios.\n\nSeveral important changes were made to the natural conditions scenario. First, the elevation of the Keno reef was corrected; the elevation specified in the original model was 1 foot too high, which affected the volume of the pooled reach and the travel time through it. The most important changes to this scenario were to the upstream boundary inputs of organic matter and algae, which affect incoming fluxes of nitrogen and phosphorus. Algal biomass inputs were increased by approximately 60 percent during summer because of a change in the way those inputs were derived from results of the UKL TMDL model. Non-algal organic matter inputs were decreased, particularly in summer to correct a problem attributed to double-counting of phosphorus in the original inputs. The distribution of non-algal organic matter was changed from 20 percent dissolved in the original model to 90 percent dissolved in the revised model in response to review comments and published data. The overall sum of algal biomass and non-living organic matter was decreased, which resulted in lower inputs of total phosphorus and nitrogen. Total phosphorus inputs were less than 0.03 mg/L, and although the inputs were derived from selected results of the UKL TMDL model, these concentrations seem too low to be representative of a historically eutrophic system surrounded by extensive wetlands, peat soils, and a groundwater system high in phosphorus. The draft TMDL states that the upstream boundary conditions are the greatest source of uncertainty, greater than any uncertainty associated with the models. Efforts to improve existing models of algal growth and nutrient cycling in UKL, therefore, would provide a substantial benefit to downstream modeling efforts on the Klamath River.\n\nAlthough many improvements were made in revising the Klamath River TMDL models, some issues and uncertainties remain. Several errors in the model source code remain, but do not affect model results for this application as long as certain options and rates are not changed; future users of these models should be aware of these issues. Although the distribution of dissolved and particulate organic matter was modified for the natural conditions scenario, that distribution was not changed for the current conditions scenarios. Recent data on that distribution and the likely rates of organic matter decomposition could be used to improve these models in the future. Nitrate predictions at Keno (Highway 66) still are too high for the current conditions scenarios; future efforts should re-evaluate the model’s denitrification rates and the release rate of ammonia from anoxic sediments. Possibly the most important of the remaining issues are tied to the two-state (healthy/unhealthy) hypothesis for the algae population that was coded into the model. Some of the rates and conversion functions could be refined to make them more acceptable; currently, the published literature does not support the concept of moderately low dissolved-oxygen concentrations as a stressor of algae in the ranges used by the model. More research is needed before these algorithms can be truly tested. The algorithms currently appear to help the model fit the patterns in the available data, and that is useful and perhaps sufficient for some purposes, but those algorithms are not truly predictive or reliable for certain purposes until they can be tested through well-designed experiments and research.\n\nIn summary, the TMDL models used to simulate Link and Klamath Rivers from Link River Dam to Keno Dam were revised to fix several problems and address various issues. The resulting models are an improvement over those that were reviewed by USGS in 2009, and represent a useful advance in the simulation of a complex system that is difficult to model. However, several issues remain that cause increased uncertainty in the model results. Depending on the objectives of the modeling, now or in the future, these remaining issues could be more or less important. For the Klamath River TMDL, the upstream boundary conditions may be a larger source of uncertainty than the concerns with model algorithms and model parameters identified in this review. Efforts to re-evaluate the available models of algal growth and nutrient cycling in UKL would be highly beneficial to downstream modeling efforts in the Klamath River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131136","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Rounds, S.A., and Sullivan, A.B., 2013, Review of revised Klamath River Total Maximum Daily Load models from Link River Dam to Keno Dam, Oregon: U.S. Geological Survey Open-File Report 2013-1136, vi, 31 p., https://doi.org/10.3133/ofr20131136.","productDescription":"vi, 31 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":275196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131136.PNG"},{"id":275195,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1136/pdf/ofr20131136.pdf"},{"id":275194,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1136/"}],"country":"United States","state":"Oregon;California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.5,40.5 ], [ -124.5,43.0 ], [ -120.75,43.0 ], [ -120.75,40.5 ], [ -124.5,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee465be4b00ffbed48f879","contributors":{"authors":[{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Annett B. 0000-0001-7783-3906 annett@usgs.gov","orcid":"https://orcid.org/0000-0001-7783-3906","contributorId":56317,"corporation":false,"usgs":true,"family":"Sullivan","given":"Annett","email":"annett@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":481137,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047122,"text":"ofr20131106 - 2013 - Streamflow characterization and summary of water-quality data collection during the Mississippi River flood, April through July 2011","interactions":[],"lastModifiedDate":"2013-07-19T10:16:02","indexId":"ofr20131106","displayToPublicDate":"2013-07-19T09:55:00","publicationYear":"2013","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":"2013-1106","title":"Streamflow characterization and summary of water-quality data collection during the Mississippi River flood, April through July 2011","docAbstract":"From April through July 2011, the U.S. Geological Survey collected surface-water samples from 69 water-quality stations and 3 flood-control structures in 4 major subbasins of the Mississippi River Basin to characterize the water quality during the 2011 Mississippi River flood. Most stations were sampled at least monthly for field parameters suspended sediment, nutrients, and selected pesticides. Samples were collected at daily to biweekly frequencies at selected sites in the case of suspended sediment. Hydro-carbon analysis was performed on samples collected at two sites in the Atchafalaya River Basin to assess the water-quality implications of opening the Morganza Floodway. Water-quality samples obtained during the flood period were collected at flows well above normal streamflow conditions at the majority of the stations throughout the Mississippi River Basin and its subbasins.\n\nHeavy rainfall and snowmelt resulted in high streamflow in the Mississippi River Basin from April through July 2011. The Ohio River Subbasin contributed to most of the flow in the lower Mississippi-Atchafalaya River Subbasin during the months of April and May because of widespread rainfall, whereas snowmelt and precipitation from the Missouri River Subbasin and the upper Mississippi River Subbasin contributed to most of the flow in the lower Mississippi-Atchafalaya River Subbasin during June and July. Peak streamflows from the 2011 flood were higher than peak streamflow during previous historic floods at most the selected streamgages in the Mississippi River Basin. In the Missouri River Subbasin, the volume of water moved during the 1952 flood was greater than the amount move during the 2011 flood.\n\nMedian concentrations of suspended sediment and total phosphorus were higher in the Missouri River Subbasin during the flood when compared to the other three subbasins. Surface water in the upper Mississippi River Subbasin contained higher median concentrations of total nitrogen, nitrate, orthophosphate, and atrazine during the flood period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131106","collaboration":"National Stream Quality Accounting Network; National Water-Quality Assessment Program","usgsCitation":"Welch, H.L., and Barnes, K., 2013, Streamflow characterization and summary of water-quality data collection during the Mississippi River flood, April through July 2011: U.S. Geological Survey Open-File Report 2013-1106, v, 27 p.; 8 Appendixes, https://doi.org/10.3133/ofr20131106.","productDescription":"v, 27 p.; 8 Appendixes","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-03-01","temporalEnd":"2011-07-31","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":275179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131106.gif"},{"id":275171,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1106/appendix/Appendix01.xlsx"},{"id":275169,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1106/"},{"id":275170,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1106/pdf/ofr2013-1106.pdf"},{"id":275172,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1106/appendix/Appendix02.xlsx"},{"id":275173,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1106/appendix/Appendix03.xlsx"},{"id":275174,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1106/appendix/Appendix04.xlsx"},{"id":275175,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1106/appendix/Appendix05.xlsx"},{"id":275176,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1106/appendix/Appendix06.xlsx"},{"id":275177,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1106/appendix/Appendix07.xlsx"},{"id":275178,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1106/appendix/Appendix08.xlsx"}],"country":"United States;Canada","otherGeospatial":"Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -130.0,20.0 ], [ -130.0,55.0 ], [ -65.0,55.0 ], [ -65.0,20.0 ], [ -130.0,20.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ea86c5e4b03397884d3984","contributors":{"authors":[{"text":"Welch, Heather L. 0000-0001-8370-7711 hllott@usgs.gov","orcid":"https://orcid.org/0000-0001-8370-7711","contributorId":552,"corporation":false,"usgs":true,"family":"Welch","given":"Heather","email":"hllott@usgs.gov","middleInitial":"L.","affiliations":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Kimberlee K.","contributorId":41476,"corporation":false,"usgs":true,"family":"Barnes","given":"Kimberlee K.","affiliations":[],"preferred":false,"id":481129,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047113,"text":"ofr20131124 - 2013 - Topographic and hydrographic GIS datasets for the Afghan Geological Survey and U.S. Geological Survey 2013 mineral areas of interest","interactions":[],"lastModifiedDate":"2013-07-18T15:35:59","indexId":"ofr20131124","displayToPublicDate":"2013-07-18T15:27:00","publicationYear":"2013","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":"2013-1124","title":"Topographic and hydrographic GIS datasets for the Afghan Geological Survey and U.S. Geological Survey 2013 mineral areas of interest","docAbstract":"Afghanistan is endowed with a vast amount of mineral resources, and it is believed that the current economic state of the country could be greatly improved through investment in the extraction and production of these resources. In 2007, the “Preliminary Non-Fuel Resource Assessment of Afghanistan 2007” was completed by members of the U.S. Geological Survey and Afghan Geological Survey (Peters and others, 2007). The assessment delineated 20 mineralized areas for further study using a geologic-based methodology. In 2011, a follow-on data product, “Summaries and Data Packages of Important Areas for Mineral Investment and Production Opportunities of Nonfuel Minerals in Afghanistan,” was released (Peters and others, 2011). As part of this more recent work, geologic, geohydrologic, and hyperspectral studies were carried out in the areas of interest (AOIs) to assess the location and characteristics of the mineral resources. The 2011 publication included a dataset of 24 identified AOIs containing subareas, a corresponding digital elevation model (DEM), elevation contours, areal extent, and hydrography for each AOI. In 2012, project scientists identified five new AOIs and two subareas in Afghanistan. These new areas are Ahankashan, Kandahar, Parwan, North Bamyan, and South Bamyan. The two identified subareas include Obatu-Shela and Sekhab-ZamtoKalay, both located within the larger Kandahar AOI. In addition, an extended Kandahar AOI is included in the project for water resource modeling purposes. The dataset presented in this publication consists of the areal extent of the five new AOIs, two subareas, and the extended Kandahar AOI, elevation contours at 100-, 50-, and 25-meter intervals, an enhanced DEM, and a hydrographic dataset covering the extent of the new study area. The resulting raster and vector layers are intended for use by government agencies, developmental organizations, and private companies in Afghanistan to assist with mineral assessments, monitoring, management, and investment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131124","collaboration":"Prepared in cooperation with the Afghan Geological Survey under the auspices of the U.S. Department of Defense Task Force for Business and Stability Operations","usgsCitation":"Casey, B.N., and Chirico, P., 2013, Topographic and hydrographic GIS datasets for the Afghan Geological Survey and U.S. Geological Survey 2013 mineral areas of interest: U.S. Geological Survey Open-File Report 2013-1124, Report: vi, 18 p.; Downloads Directory, https://doi.org/10.3133/ofr20131124.","productDescription":"Report: vi, 18 p.; Downloads Directory","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":275158,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1124/Downloads"},{"id":275159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131124.gif"},{"id":275156,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1124/"},{"id":275157,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1124/pdf/ofr2013-1124.pdf"}],"country":"Afghanistan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.52,29.38 ], [ 60.52,38.49 ], [ 74.89,38.49 ], [ 74.89,29.38 ], [ 60.52,29.38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e90055e4b0e157e9e86eea","contributors":{"authors":[{"text":"Casey, Brittany N.","contributorId":69037,"corporation":false,"usgs":true,"family":"Casey","given":"Brittany","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":481085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chirico, Peter G.","contributorId":27086,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","affiliations":[],"preferred":false,"id":481084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188809,"text":"70188809 - 2013 - New thermochronometric constraints on the Tertiary landscape evolution of the central and eastern Grand Canyon, Arizona","interactions":[],"lastModifiedDate":"2017-06-27T11:07:55","indexId":"70188809","displayToPublicDate":"2013-07-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"New thermochronometric constraints on the Tertiary landscape evolution of the central and eastern Grand Canyon, Arizona","docAbstract":"<p><span>Thermal histories are modeled from new apatite (U-Th)/He and apatite fission-track data in order to quantitatively constrain the landscape evolution of the Grand Canyon region. Fifty new samples and their associated thermochronometric ages are presented here. Samples span from Lee’s Ferry in the east to Quartermaster Canyon in the west and include four age-elevation transects into Grand Canyon and borehole samples from the Coconino Plateau. Twenty-seven samples are inversely modeled to provide continuous thermal histories. This represents the most extensive and complete dataset on patterns of long-term exhumation in the Grand Canyon region, and it enables us to constrain the timing and magnitude of erosion and also discriminate between canyon incision and broader planation. The new data suggest that the early Cenozoic landscape in eastern Grand Canyon was low in relief and does not indicate the presence of an early Cenozoic precursor to the modern Grand Canyon. However, there is evidence for the incision of a smaller-scale canyon across the Kaibab Uplift at 28–20 Ma. This middle-Cenozoic denudation event was accompanied by the removal of a majority of remaining Mesozoic strata west of the Kaibab Uplift. In contrast, just upstream in the area of Lee’s Ferry, ∼2 km of Mesozoic strata remained over the middle Cenozoic and were removed after 10 Ma.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00842.1","usgsCitation":"Lee, J.P., Stockli, D.F., Kelley, S., Pederson, J., Karlstrom, K.E., and Ehlers, T., 2013, New thermochronometric constraints on the Tertiary landscape evolution of the central and eastern Grand Canyon, Arizona: Geosphere, v. 9, no. 2, p. 216-228, https://doi.org/10.1130/GES00842.1.","productDescription":"13 p.","startPage":"216","endPage":"228","ipdsId":"IP-039069","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":473671,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00842.1","text":"Publisher Index Page"},{"id":342893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.04632568359375,\n              35.576916524038616\n            ],\n            [\n              -111.29974365234375,\n              35.576916524038616\n            ],\n            [\n              -111.29974365234375,\n              37.00255267215955\n            ],\n            [\n              -114.04632568359375,\n              37.00255267215955\n            ],\n            [\n              -114.04632568359375,\n              35.576916524038616\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d28e4b062508e3c36cd","contributors":{"authors":[{"text":"Lee, John P. jplee@usgs.gov","contributorId":3291,"corporation":false,"usgs":true,"family":"Lee","given":"John","email":"jplee@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":700458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockli, Daniel F.","contributorId":78073,"corporation":false,"usgs":true,"family":"Stockli","given":"Daniel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":700674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, S.A.","contributorId":31151,"corporation":false,"usgs":true,"family":"Kelley","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":700675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pederson, J.","contributorId":11413,"corporation":false,"usgs":true,"family":"Pederson","given":"J.","email":"","affiliations":[],"preferred":false,"id":700676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karlstrom, K. E.","contributorId":45713,"corporation":false,"usgs":true,"family":"Karlstrom","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":700677,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ehlers, T.A.","contributorId":193510,"corporation":false,"usgs":false,"family":"Ehlers","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":700678,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70182711,"text":"70182711 - 2013 - Nutrient enrichment and fish nutrient tolerance: Assessing biologically relevant nutrient criteria","interactions":[],"lastModifiedDate":"2017-02-27T11:52:27","indexId":"70182711","displayToPublicDate":"2013-07-18T00:00:00","publicationYear":"2013","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":"Nutrient enrichment and fish nutrient tolerance: Assessing biologically relevant nutrient criteria","docAbstract":"<p><span>Relationships between nutrient concentrations and fish nutrient tolerance were assessed relative to established nutrient criteria. Fish community, nitrate plus nitrite (nitrate), and total phosphorus (TP) data were collected during summer low-flow periods in 2003 and 2004 at stream sites along a nutrient-enrichment gradient in an agricultural basin in Indiana and Ohio and an urban basin in the Atlanta, Georgia, area. Tolerance indicator values for nitrate and TP were assigned for each species and averaged separately for fish communities at each site (TIV</span><sub>o</sub><span>). Models were used to predict fish species expected to occur at a site under minimally disturbed conditions and average tolerance indicator values were determined for nitrate and TP separately for expected communities (TIV</span><sub>e</sub><span>). In both areas, tolerance scores (TIV</span><sub>o</sub><span>/TIV</span><sub>e</sub><span>) for nitrate increased significantly with increased nitrate concentrations whereas no significant relationships were detected between TP tolerance scores and TP concentrations. A 0% increase in the tolerance score (TIV</span><sub>o</sub><span>/TIV</span><sub>e</sub><span>&nbsp;=&nbsp;1) for nitrate corresponded to a nitrate concentration of 0.19&nbsp;mg/l (compared with a USEPA summer nitrate criterion of 0.17&nbsp;mg/l) in the urban area and 0.31&nbsp;mg/l (compared with a USEPA summer nitrate criterion of 0.86&nbsp;mg/l) in the agricultural area. Fish nutrient tolerance values offer the ability to evaluate nutrient enrichment based on a quantitative approach that can provide insights into biologically relevant nutrient criteria.</span></p>","language":"English","publisher":"Journal of the American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12015","usgsCitation":"Meador, M., 2013, Nutrient enrichment and fish nutrient tolerance: Assessing biologically relevant nutrient criteria: Journal of the American Water Resources Association, v. 49, no. 2, p. 253-263, https://doi.org/10.1111/jawr.12015.","productDescription":"11 p.","startPage":"253","endPage":"263","ipdsId":"IP-037365","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":336248,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, Indiana, Ohio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.791748046875,\n              38.315801006824984\n            ],\n            [\n              -87.451171875,\n              38.36750215395045\n            ],\n            [\n              -86.781005859375,\n              38.39333888832238\n            ],\n            [\n              -85.84716796875,\n              38.496593518947584\n            ],\n            [\n              -85.45166015624999,\n              38.62545397209084\n            ],\n            [\n              -85.418701171875,\n              38.685509760012\n            ],\n            [\n              -85.36376953125,\n              38.87392853923629\n            ],\n            [\n              -85.198974609375,\n              39.07890809706475\n            ],\n            [\n              -84.96826171874999,\n              39.13006024213511\n            ],\n            [\n              -84.627685546875,\n              39.13006024213511\n            ],\n            [\n              -84.375,\n              39.08743603215884\n            ],\n            [\n              -84.122314453125,\n              39.07037913108751\n            ],\n            [\n              -83.836669921875,\n              39.198205348894795\n            ],\n            [\n              -83.671875,\n              39.554883059924016\n            ],\n            [\n              -83.56201171875,\n              39.93501296038254\n            ],\n            [\n              -83.485107421875,\n              40.38839687388361\n            ],\n            [\n              -83.49609375,\n              40.56389453066509\n            ],\n            [\n              -83.726806640625,\n              40.613952441166596\n            ],\n            [\n              -84.08935546875,\n              40.57224011776902\n            ],\n            [\n              -84.4189453125,\n              40.51379915504413\n            ],\n            [\n              -84.67163085937499,\n              40.51379915504413\n            ],\n            [\n              -84.814453125,\n              40.49709237269567\n            ],\n            [\n              -85.308837890625,\n              40.421860362045194\n            ],\n            [\n              -85.616455078125,\n              40.463666324587685\n            ],\n            [\n              -85.97900390625,\n              40.455307212131494\n            ],\n            [\n              -86.1328125,\n              40.371658891506094\n            ],\n            [\n              -86.37451171875,\n              40.271143686084194\n            ],\n            [\n              -86.671142578125,\n              40.08647729380881\n            ],\n            [\n              -86.90185546874999,\n              39.87601941962116\n            ],\n            [\n              -87.044677734375,\n              39.64799732373418\n            ],\n            [\n              -87.1875,\n              39.410733055084954\n            ],\n            [\n              -87.286376953125,\n              39.30029918615029\n            ],\n            [\n              -87.36328125,\n              39.0533181067413\n            ],\n            [\n              -87.4072265625,\n              38.84826438869913\n            ],\n            [\n              -87.440185546875,\n              38.69408504756833\n            ],\n            [\n              -87.791748046875,\n              38.315801006824984\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.43017578125,\n              34.768691457552706\n            ],\n            [\n              -83.551025390625,\n              34.82282272723702\n            ],\n            [\n              -83.770751953125,\n              34.813803317113155\n            ],\n            [\n              -83.8916015625,\n              34.69646117272349\n            ],\n            [\n              -84.00146484374999,\n              34.51560953848204\n            ],\n            [\n              -84.08935546875,\n              34.38877925439021\n            ],\n            [\n              -84.287109375,\n              34.19817309627726\n            ],\n            [\n              -84.495849609375,\n              34.17090836352573\n            ],\n            [\n              -84.715576171875,\n              33.970697997361626\n            ],\n            [\n              -84.935302734375,\n              33.8247936182649\n            ],\n            [\n              -85.045166015625,\n              33.63291573870479\n            ],\n            [\n              -85.18798828125,\n              33.4039312002347\n            ],\n            [\n              -85.177001953125,\n              33.211116472416855\n            ],\n            [\n              -85.15502929687499,\n              33.08233672856376\n            ],\n            [\n              -84.825439453125,\n              32.99023555965106\n            ],\n            [\n              -84.5068359375,\n              32.861132322810946\n            ],\n            [\n              -84.35302734375,\n              32.85190345738802\n            ],\n            [\n              -84.08935546875,\n              32.9257074887604\n            ],\n            [\n              -83.75976562499999,\n              33.100745405144245\n            ],\n            [\n              -83.594970703125,\n              33.33970700424026\n            ],\n            [\n              -83.529052734375,\n              33.54139466898275\n            ],\n            [\n              -83.485107421875,\n              33.80653802509606\n            ],\n            [\n              -83.49609375,\n              33.96158628979907\n            ],\n            [\n              -83.60595703125,\n              34.15272698011818\n            ],\n            [\n              -83.638916015625,\n              34.279914398549934\n            ],\n            [\n              -83.638916015625,\n              34.397844946449865\n            ],\n            [\n              -83.594970703125,\n              34.542762387234845\n            ],\n            [\n              -83.485107421875,\n              34.63320791137959\n            ],\n            [\n              -83.43017578125,\n              34.768691457552706\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-26","publicationStatus":"PW","scienceBaseUri":"58b548c3e4b01ccd54fddfd8","contributors":{"authors":[{"text":"Meador, Michael R. mrmeador@usgs.gov","contributorId":615,"corporation":false,"usgs":true,"family":"Meador","given":"Michael R.","email":"mrmeador@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":673388,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70188030,"text":"70188030 - 2013 - Forest cutting and impacts on carbon in the eastern United States","interactions":[],"lastModifiedDate":"2017-05-31T16:13:26","indexId":"70188030","displayToPublicDate":"2013-07-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Forest cutting and impacts on carbon in the eastern United States","docAbstract":"<p><span>Forest cutting is a major anthropogenic disturbance that affects forest carbon (C) storage and fluxes. Yet its characteristics and impacts on C cycling are poorly understood over large areas. Using recent annualized forest inventory data, we estimated cutting-related loss of live biomass in the eastern United States was 168 Tg C yr</span><sup>−1</sup><span> from 2002 to 2010 (with C loss per unit forest area of 1.07 Mg ha</span><sup>−1</sup><span> yr</span><sup>−1</sup><span>), which is equivalent to 70% of the total U.S. forest C sink or 11% of the national annual CO</span><sub>2&nbsp;</sub><span>emissions from fossil-fuel combustion over the same period. We further revealed that specific cutting-related C loss varied with cutting intensities, forest types, stand ages, and geographic locations. Our results provide new insights to the characteristics of forest harvesting activities in the eastern United States and highlight the significance of partial cutting to regional and national carbon budgets.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep03547","usgsCitation":"Zhou, D., Liu, S., Oeding, J., and Zhao, S., 2013, Forest cutting and impacts on carbon in the eastern United States: Scientific Reports, v. 3, Article 3547: 7 p., https://doi.org/10.1038/srep03547.","productDescription":"Article 3547: 7 p.","ipdsId":"IP-052367","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep03547","text":"Publisher Index Page"},{"id":341887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.867044,36.550754],[-75.536428,35.780118],[-75.723662,36.003139],[-75.85147,36.415785],[-76.019261,36.503506],[-75.793974,36.07171],[-75.922344,36.244122],[-75.904999,36.164188],[-76.184702,36.298166],[-76.064224,36.143775],[-76.273316,36.189062],[-76.191715,36.107197],[-76.447812,36.192514],[-76.298733,36.1012],[-76.514335,36.00564],[-76.676484,36.043612],[-76.693253,36.278357],[-76.7521,36.147328],[-76.667547,35.933509],[-76.024162,35.970891],[-76.04015,35.65131],[-75.947293,35.959835],[-75.80935,35.959308],[-75.71294,35.69849],[-75.775328,35.579335],[-75.895045,35.573152],[-76.149655,35.326411],[-76.485762,35.371375],[-76.586349,35.508957],[-76.471207,35.55742],[-76.634468,35.510332],[-76.580187,35.387113],[-77.023912,35.514802],[-76.467776,35.276951],[-76.60042,35.067867],[-76.801426,34.964369],[-76.982904,35.060607],[-76.977404,35.004926],[-76.762931,34.920374],[-76.463468,35.076411],[-76.395625,34.975179],[-76.288354,35.005726],[-76.524712,34.681964],[-76.604796,34.787482],[-76.673619,34.71491],[-76.523303,34.652271],[-76.038648,35.065045],[-76.535946,34.588577],[-76.726969,34.69669],[-77.169701,34.622023],[-77.740136,34.272546],[-77.970606,33.844517],[-78.276147,33.912364],[-78.772737,33.768511],[-79.084588,33.483669],[-79.18787,33.173712],[-79.359961,33.006672],[-79.55756,33.021269],[-79.576006,32.906235],[-79.999374,32.611851],[-80.332438,32.478104],[-80.472068,32.496964],[-80.455192,32.326458],[-80.858735,32.099581],[-80.862814,31.969346],[-81.203572,31.719448],[-81.133493,31.623348],[-81.260076,31.54828],[-81.177254,31.517074],[-81.288403,31.211065],[-81.493651,30.977528],[-81.403409,30.957914],[-81.447087,30.503679],[-81.163581,29.55529],[-80.525094,28.459454],[-80.606874,28.336484],[-80.566432,28.09563],[-80.031362,26.796339],[-80.154972,25.66549],[-80.240376,25.724206],[-80.339421,25.499427],[-80.31036,25.3731],[-80.418872,25.235532],[-80.669236,25.137837],[-81.141024,25.163868],[-81.117265,25.354953],[-81.352731,25.822015],[-81.527665,25.901531],[-81.6848,25.847205],[-81.868983,26.378648],[-82.024604,26.512677],[-82.105672,26.48393],[-82.181565,26.681712],[-82.093023,26.665614],[-82.063126,26.950214],[-82.175241,26.916867],[-82.147068,26.789803],[-82.259867,26.717398],[-82.743017,27.531086],[-82.65072,27.523115],[-82.393383,27.837519],[-82.478063,27.92768],[-82.47244,27.822559],[-82.553946,27.848462],[-82.553918,27.966998],[-82.678606,27.993715],[-82.720395,27.937199],[-82.566819,27.858002],[-82.733076,27.612972],[-82.846526,27.854301],[-82.654138,28.590837],[-82.804736,29.146624],[-83.053207,29.130839],[-83.218075,29.420492],[-83.400252,29.517242],[-83.414701,29.670536],[-84.024274,30.103271],[-84.358923,30.058224],[-84.349066,29.896812],[-84.511996,29.916574],[-84.888031,29.722406],[-84.90413,29.786279],[-85.344768,29.654793],[-85.413575,29.85294],[-85.353885,29.684765],[-85.302591,29.808094],[-85.405052,29.938487],[-86.2987,30.363049],[-86.750906,30.391881],[-88.028401,30.221132],[-87.755263,30.277292],[-87.906343,30.40938],[-87.919346,30.63606],[-88.008396,30.684956],[-88.136173,30.320729],[-88.341345,30.38947],[-88.480117,30.318345],[-88.728893,30.342671],[-88.841328,30.409598],[-89.291444,30.303296],[-89.335942,30.374016],[-89.461275,30.174745],[-89.857558,30.004439],[-89.660568,29.862909],[-89.481926,30.079128],[-89.372375,30.054729],[-89.433411,29.991205],[-89.368019,29.911491],[-89.218071,29.97275],[-89.322289,29.887333],[-89.236298,29.877081],[-89.383789,29.838928],[-89.271034,29.756355],[-89.386063,29.788815],[-89.42421,29.697638],[-89.651237,29.749479],[-89.485367,29.624357],[-89.644272,29.675381],[-89.688141,29.615055],[-89.700501,29.515967],[-89.508551,29.386168],[-89.189354,29.345061],[-89.000674,29.180091],[-89.062335,29.070234],[-89.16985,29.008703],[-89.254726,29.083261],[-89.41148,28.925011],[-89.354798,29.072543],[-89.482844,29.215053],[-89.850305,29.311768],[-89.849642,29.477996],[-90.01251,29.462775],[-90.009678,29.294785],[-90.096038,29.240673],[-89.949925,29.263154],[-90.174273,29.105301],[-90.348768,29.057817],[-90.234235,29.110268],[-90.271251,29.204639],[-90.332796,29.276956],[-90.472489,29.192688],[-90.510555,29.290925],[-90.803699,29.063709],[-90.637495,29.066608],[-90.839345,29.039167],[-90.961278,29.180817],[-91.278792,29.247776],[-91.33275,29.305816],[-91.197465,29.369882],[-91.221166,29.436421],[-91.531021,29.531543],[-91.553537,29.632766],[-91.648941,29.633635],[-91.632829,29.742576],[-91.88075,29.710839],[-91.889118,29.836023],[-92.149349,29.697052],[-92.111787,29.62177],[-91.712002,29.56474],[-91.782387,29.482882],[-92.046316,29.584362],[-92.61627,29.578729],[-93.267456,29.778113],[-94.056506,29.671163],[-94.778691,29.361483],[-94.495025,29.525031],[-94.779674,29.530533],[-94.693154,29.694453],[-94.740919,29.787081],[-95.011025,29.650803],[-94.893994,29.30817],[-95.16525,29.113566],[-94.810696,29.353435],[-94.72253,29.331446],[-95.38239,28.866348],[-96.378616,28.383909],[-95.978526,28.650594],[-96.228909,28.580873],[-96.222802,28.698431],[-96.487943,28.569677],[-96.584091,28.722798],[-96.648758,28.709627],[-96.611099,28.585962],[-96.403973,28.44245],[-96.672677,28.335579],[-96.76696,28.410737],[-96.800413,28.224128],[-96.934765,28.123873],[-97.037008,28.185528],[-97.214039,28.087494],[-97.025693,28.11216],[-97.025859,28.041939],[-97.188866,27.823772],[-97.272253,27.881427],[-97.379042,27.837867],[-97.368355,27.741683],[-97.253955,27.696696],[-97.401942,27.335574],[-97.532223,27.278577],[-97.501688,27.366618],[-97.640111,27.270943],[-97.42408,27.264073],[-97.563266,26.842188],[-97.471663,26.758727],[-97.441383,26.455418],[-97.391001,26.332262],[-97.330441,26.350582],[-97.295072,26.108342],[-97.199651,26.077044],[-97.216954,25.993838],[-97.152009,26.062108],[-97.147785,25.953132],[-97.350398,25.925241],[-97.394513,25.837377],[-97.649176,26.021499],[-98.197046,26.056153],[-98.450976,26.219904],[-98.669397,26.23632],[-98.807348,26.369421],[-99.085126,26.398782],[-99.268613,26.843213],[-99.446524,27.023008],[-99.441549,27.24992],[-99.537771,27.316073],[-99.512219,27.568094],[-99.841708,27.766464],[-99.931812,27.980967],[-100.293468,28.278475],[-100.333814,28.499252],[-100.500354,28.66196],[-100.797671,29.246943],[-101.254895,29.520342],[-101.242023,29.592512],[-101.415402,29.756561],[-102.115682,29.79239],[-102.315389,29.87992],[-102.386678,29.76688],[-102.670971,29.741954],[-102.883722,29.348059],[-102.866846,29.225015],[-102.994653,29.17962],[-103.115328,28.98527],[-103.28119,28.982138],[-104.038282,29.320156],[-104.507568,29.639624],[-104.924796,30.604832],[-105.394242,30.852979],[-106.645296,31.894859],[-106.618486,32.000495],[-103.064423,32.000518],[-103.002199,37.000104],[-102.04224,36.993083],[-102.051614,41.002377],[-104.053249,41.001406],[-104.048736,48.999877],[-95.153711,48.998903],[-95.15335,49.383079],[-94.957465,49.370186],[-94.816222,49.320987],[-94.645083,48.744143],[-93.840754,48.628548],[-93.794454,48.516021],[-93.254854,48.642784],[-92.954876,48.631493],[-92.634931,48.542873],[-92.712562,48.463013],[-92.456325,48.414204],[-92.369174,48.220268],[-92.269742,48.248241],[-92.26228,48.354933],[-92.055228,48.359213],[-91.957798,48.232989],[-91.559272,48.108268],[-91.567254,48.043719],[-91.26638,48.078713],[-90.88548,48.245784],[-90.751608,48.090968],[-90.136191,48.112136],[-89.897414,47.987599],[-89.489226,48.014528],[-90.86827,47.5569],[-92.094089,46.787839],[-91.961889,46.682539],[-90.855874,46.962232],[-90.750952,46.890293],[-90.951476,46.597033],[-90.73726,46.692267],[-90.436512,46.561748],[-89.790663,46.818469],[-89.415154,46.843983],[-88.972802,47.002096],[-88.418841,47.371058],[-87.929672,47.478743],[-87.710471,47.4062],[-87.957058,47.38726],[-87.94336,47.335899],[-88.227552,47.199938],[-88.443901,46.972251],[-88.462349,46.786711],[-88.142807,46.966302],[-88.175197,46.90458],[-87.681561,46.842392],[-87.352448,46.501324],[-87.008724,46.532723],[-86.850111,46.434114],[-86.698139,46.438624],[-86.678182,46.561039],[-86.586168,46.463324],[-86.161681,46.669475],[-85.50951,46.675786],[-84.989497,46.772403],[-85.015211,46.479712],[-84.63102,46.484868],[-84.551496,46.418522],[-84.128925,46.530119],[-84.097766,46.256512],[-84.251424,46.175888],[-84.125022,46.180209],[-83.873147,45.993426],[-83.765277,46.018363],[-83.815826,46.108529],[-83.581315,46.089613],[-83.473946,45.988558],[-83.510623,45.929324],[-84.376429,45.931962],[-84.656567,46.052654],[-84.746985,45.835597],[-85.01399,46.010774],[-85.499422,46.09692],[-85.697203,45.960158],[-86.278007,45.942057],[-86.351658,45.798132],[-86.580936,45.71192],[-86.616893,45.606796],[-86.718191,45.67732],[-86.541464,45.890234],[-86.78208,45.860195],[-86.838746,45.722307],[-86.964275,45.672761],[-87.031435,45.837238],[-87.059953,45.708893],[-87.600796,45.146842],[-87.630298,44.976865],[-87.820281,44.950358],[-87.983065,44.72073],[-88.042414,44.566589],[-87.943801,44.529693],[-87.609784,44.838514],[-87.384821,44.865532],[-87.231925,45.172316],[-86.970355,45.278455],[-87.467089,44.553557],[-87.512903,44.192808],[-87.71817,43.939498],[-87.702685,43.687596],[-87.911787,43.250406],[-87.896157,43.017486],[-87.766675,42.784896],[-87.828569,42.269922],[-87.524044,41.708335],[-87.278437,41.619736],[-86.679672,41.844579],[-86.261573,42.443894],[-86.232707,43.015762],[-86.540916,43.633158],[-86.43114,43.815569],[-86.514704,44.057672],[-86.26871,44.345324],[-86.254996,44.691935],[-86.09074,44.740544],[-86.066745,44.905685],[-85.807403,44.949814],[-85.551072,45.210742],[-85.652355,44.849092],[-85.593833,44.768651],[-85.475204,44.991053],[-85.576566,44.760208],[-85.527216,44.748235],[-85.3958,44.931018],[-85.371593,45.270834],[-84.91585,45.393115],[-85.115479,45.539406],[-84.942636,45.714292],[-85.014509,45.760329],[-84.734065,45.788205],[-84.46168,45.652404],[-84.215268,45.634767],[-84.095905,45.497298],[-83.488826,45.355872],[-83.381743,45.268983],[-83.265896,45.026844],[-83.454168,45.03188],[-83.274747,44.714893],[-83.332533,44.340464],[-83.53771,44.248171],[-83.58409,44.056748],[-83.877047,43.959351],[-83.954347,43.750647],[-83.666052,43.591292],[-83.26153,43.973525],[-82.915976,44.070503],[-82.643166,43.852468],[-82.412965,42.977041],[-82.518782,42.613888],[-82.686417,42.518597],[-82.713042,42.597904],[-82.630851,42.673341],[-82.813518,42.640833],[-82.782414,42.564834],[-82.874416,42.523535],[-82.894013,42.389437],[-83.096521,42.290138],[-83.133511,42.088143],[-83.455626,41.727445],[-82.934369,41.514353],[-82.834101,41.587587],[-82.481214,41.381342],[-82.011966,41.515639],[-81.738755,41.48855],[-81.288892,41.758945],[-80.329976,42.036168],[-79.148723,42.553672],[-78.851355,42.791758],[-79.074467,43.077855],[-79.070469,43.262454],[-78.370221,43.376505],[-77.760231,43.341161],[-77.551022,43.235763],[-76.958402,43.270005],[-76.417581,43.521285],[-76.235834,43.529256],[-76.205436,43.718751],[-76.28272,43.858601],[-76.125023,43.912773],[-76.360306,44.070907],[-76.312647,44.199044],[-75.912985,44.368084],[-75.413885,44.76889],[-74.992756,44.977449],[-71.502487,45.013367],[-71.39781,45.203553],[-71.443882,45.235462],[-71.296509,45.29919],[-71.13943,45.242958],[-71.01081,45.34725],[-70.857042,45.22916],[-70.795009,45.428145],[-70.634661,45.383608],[-70.688214,45.563981],[-70.400404,45.719834],[-70.417641,45.79377],[-70.259117,45.890755],[-70.292736,46.191599],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.043947,47.427634],[-69.050334,47.256621],[-68.902425,47.178839],[-68.378678,47.287561],[-68.329879,47.36023],[-67.955669,47.199542],[-67.789461,47.062544],[-67.750422,45.917898],[-67.817892,45.693705],[-67.429716,45.583773],[-67.416416,45.503515],[-67.503088,45.489688],[-67.418747,45.37726],[-67.489464,45.282653],[-67.345585,45.126392],[-67.283619,45.192022],[-67.157919,45.161004],[-66.950569,44.814539],[-67.293403,44.599265],[-67.308538,44.707454],[-67.405492,44.594236],[-67.551133,44.621938],[-67.568159,44.531117],[-67.733986,44.496252],[-67.839896,44.558771],[-67.855108,44.419434],[-68.010719,44.407464],[-68.049334,44.33073],[-68.117746,44.475038],[-68.261708,44.484062],[-68.299063,44.437893],[-68.173608,44.328397],[-68.317588,44.225101],[-68.430946,44.298624],[-68.3791,44.430049],[-68.565161,44.39907],[-68.525302,44.227554],[-68.827197,44.31216],[-68.783679,44.473879],[-68.927452,44.448039],[-69.100863,44.104529],[-69.031878,44.079036],[-69.214205,43.935583],[-69.398455,43.971804],[-69.50329,43.837673],[-69.705838,43.823024],[-69.838689,43.70514],[-69.884066,43.778035],[-70.041351,43.738053],[-70.009869,43.859315],[-70.190014,43.771866],[-70.254144,43.676839],[-70.196911,43.565146],[-70.361214,43.52919],[-70.349684,43.442032],[-70.553854,43.321886],[-70.810069,42.909549],[-70.778671,42.693622],[-70.594014,42.63503],[-70.871382,42.546404],[-70.835991,42.490496],[-70.96047,42.446166],[-71.01568,42.326019],[-70.722269,42.207959],[-70.63848,42.081579],[-70.710034,41.999544],[-70.552941,41.929641],[-70.471552,41.761563],[-70.259205,41.713954],[-70.024734,41.787364],[-70.000188,41.886938],[-70.064084,41.878924],[-70.095595,42.032832],[-70.245385,42.063733],[-70.058531,42.040363],[-69.935952,41.809422],[-69.998071,41.54365],[-70.007011,41.671579],[-70.351634,41.634687],[-70.948431,41.409193],[-70.658659,41.543385],[-70.623652,41.707398],[-70.718739,41.73574],[-70.85222,41.589223],[-70.929722,41.609479],[-70.931545,41.540169],[-71.19302,41.457931],[-71.240709,41.619225],[-71.24071,41.474872],[-71.337695,41.448902],[-71.19564,41.67509],[-71.299159,41.649531],[-71.350057,41.727835],[-71.449318,41.687401],[-71.40377,41.589321],[-71.483295,41.371722],[-72.546833,41.250718],[-72.916827,41.282033],[-73.111052,41.150797],[-73.643478,41.002171],[-73.81281,40.846737],[-73.781369,40.794907],[-73.485365,40.946397],[-73.229285,40.905121],[-72.585327,40.997587],[-72.278789,41.158722],[-72.317238,41.088659],[-72.10216,40.991509],[-71.856214,41.070598],[-73.23914,40.6251],[-73.934512,40.545175],[-74.03959,40.612934],[-74.024543,40.709436],[-74.186027,40.646076],[-74.261889,40.464706],[-73.978282,40.440208],[-74.096906,39.76303],[-74.334804,39.432001],[-74.614481,39.244659],[-74.864458,38.94041],[-74.971995,38.94037],[-74.905181,39.174945],[-75.136548,39.179425],[-75.542894,39.470447],[-75.559102,39.629056],[-75.405337,39.796213],[-75.716969,39.791998],[-75.788658,39.658211],[-75.693521,38.460128],[-75.049268,38.451264],[-75.195382,38.093582],[-75.359036,37.864143],[-75.514921,37.799149],[-75.800755,37.197297],[-75.906734,37.114193],[-75.97043,37.118608],[-76.018645,37.31782],[-75.818125,37.791698],[-75.689837,37.861817],[-75.757694,37.903912],[-75.663095,37.961195],[-75.892686,37.916848],[-75.812913,38.058932],[-75.880515,38.075011],[-75.843862,38.144599],[-75.958786,38.135572],[-75.848473,38.20934],[-75.970514,38.233668],[-75.973876,38.36585],[-76.048637,38.311643],[-76.032044,38.216684],[-76.258189,38.318373],[-76.33636,38.492235],[-76.247894,38.523019],[-76.271827,38.615661],[-76.147158,38.63684],[-76.238685,38.735434],[-76.347998,38.686234],[-76.271575,38.851771],[-76.19343,38.821787],[-76.203638,38.928382],[-76.376031,38.848777],[-76.311766,39.035257],[-76.164004,38.99953],[-76.145174,39.092824],[-76.231765,39.018518],[-76.274741,39.164961],[-76.170588,39.331954],[-76.002408,39.367501],[-75.970337,39.557637],[-76.096072,39.536912],[-76.060988,39.447775],[-76.281374,39.304531],[-76.341443,39.354217],[-76.425281,39.205708],[-76.535885,39.211008],[-76.394358,39.01216],[-76.557535,38.744687],[-76.321499,38.03805],[-76.588683,38.21295],[-76.920778,38.291529],[-77.016371,38.445572],[-77.250172,38.382781],[-77.263599,38.512344],[-77.12634,38.6177],[-77.246704,38.635217],[-77.32544,38.44885],[-77.279633,38.339444],[-77.043526,38.400548],[-76.962311,38.214075],[-76.613939,38.148587],[-76.236725,37.889174],[-76.339892,37.655966],[-76.28037,37.613715],[-76.36232,37.610368],[-76.510187,37.642324],[-76.584289,37.76889],[-76.784618,37.869569],[-76.542666,37.616857],[-76.300144,37.561734],[-76.360474,37.51924],[-76.265056,37.481365],[-76.275552,37.309964],[-76.415167,37.402133],[-76.349489,37.273963],[-76.50364,37.233856],[-76.292344,37.126615],[-76.304272,37.001378],[-76.428869,36.969947],[-76.649869,37.220914],[-76.802511,37.198308],[-76.73032,37.145395],[-76.685614,37.198851],[-76.662558,37.045748],[-76.469914,36.882898],[-76.297663,36.968147],[-75.996252,36.922047],[-75.867044,36.550754]],[[-77.038598,38.791513],[-76.910795,38.891712],[-77.040999,38.99511],[-77.1199,38.934311],[-77.038598,38.791513]]],[[[-88.124658,30.28364],[-88.075856,30.246139],[-88.313323,30.230024],[-88.124658,30.28364]]],[[[-81.582923,24.658732],[-81.425483,24.752989],[-81.298028,24.656774],[-81.49858,24.66498],[-81.81289,24.546468],[-81.582923,24.658732]]],[[[-84.777208,29.707398],[-84.696726,29.76993],[-84.957779,29.612635],[-85.097082,29.625215],[-84.777208,29.707398]]],[[[-85.156415,29.679628],[-85.077237,29.670862],[-85.222546,29.678039],[-85.156415,29.679628]]],[[[-82.255777,26.703437],[-82.166042,26.489679],[-82.013913,26.452058],[-82.177017,26.471558],[-82.255777,26.703437]]],[[[-80.250581,25.34193],[-80.377084,25.130487],[-80.659395,24.897433],[-80.395467,25.150694],[-80.174544,25.518406],[-80.250581,25.34193]]],[[[-88.865067,29.752714],[-88.944435,29.658806],[-88.8312,29.878839],[-88.881454,30.053202],[-88.817017,29.93425],[-88.865067,29.752714]]],[[[-70.59628,41.471905],[-70.501306,41.385391],[-70.450431,41.420703],[-70.451084,41.348161],[-70.838777,41.347209],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-70.049053,41.391702],[-69.960181,41.264546],[-70.275526,41.310464],[-70.092142,41.297741]]],[[[-76.048373,38.12055],[-76.07147,38.203502],[-76.005904,38.07717],[-76.048373,38.12055]]],[[[-76.04653,37.953586],[-76.041668,38.032148],[-75.970172,38.015688],[-76.04653,37.953586]]],[[[-68.453236,44.189998],[-68.384903,44.154955],[-68.502096,44.152388],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.605906,44.230772],[-68.675056,44.137131],[-68.680773,44.279242]]],[[[-68.785601,44.053503],[-68.874139,44.025359],[-68.944597,44.11284],[-68.825067,44.186338],[-68.785601,44.053503]]],[[[-68.942826,44.281073],[-68.868444,44.38144],[-68.95189,44.218719],[-68.942826,44.281073]]],[[[-86.033174,45.15842],[-85.976883,45.06266],[-86.058653,45.100776],[-86.033174,45.15842]]],[[[-88.684434,48.115785],[-88.418244,48.18037],[-88.968903,47.901675],[-88.899698,47.902445],[-89.157738,47.824015],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-84.612845,45.834528],[-84.646876,45.884642],[-84.35602,45.771895],[-84.484128,45.73071],[-84.612845,45.834528]]],[[[-85.566441,45.760222],[-85.501267,45.754415],[-85.487026,45.621211],[-85.561634,45.572213],[-85.630016,45.598166],[-85.566441,45.760222]]],[[[-88.710719,30.250799],[-88.562067,30.227476],[-88.771991,30.245523],[-88.710719,30.250799]]],[[[-75.753765,35.199612],[-75.529393,35.288272],[-75.47861,35.553069],[-75.533512,35.773577],[-75.458659,35.596597],[-75.52592,35.233839],[-76.013145,35.061855],[-75.753765,35.199612]]],[[[-75.675245,35.929024],[-75.620454,35.809253],[-75.727251,35.93362],[-75.675245,35.929024]]],[[[-74.144428,40.53516],[-74.254588,40.502303],[-74.1894,40.642121],[-74.075884,40.648101],[-74.144428,40.53516]]],[[[-82.835118,41.708971],[-82.782719,41.694003],[-82.842099,41.628323],[-82.835118,41.708971]]],[[[-97.240849,26.411504],[-97.387459,26.820789],[-97.361796,27.359988],[-97.134489,27.825206],[-96.879424,28.131402],[-96.403206,28.371475],[-96.966996,27.950531],[-97.30447,27.407734],[-97.370731,26.909706],[-97.154271,26.066841],[-97.240849,26.411504]]],[[[-90.403306,47.026693],[-90.464079,46.994636],[-90.438734,47.072557],[-90.403306,47.026693]]],[[[-90.572383,46.958835],[-90.508157,46.956836],[-90.654796,46.919249],[-90.572383,46.958835]]],[[[-90.757147,47.03372],[-90.544875,47.017383],[-90.671581,46.948973],[-90.757147,47.03372]]],[[[-86.880572,45.331467],[-86.95499,45.34128],[-86.943041,45.41525],[-86.810055,45.422619],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA  \"}}]}","volume":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-19","publicationStatus":"PW","scienceBaseUri":"592e84c8e4b092b266f10dbe","contributors":{"authors":[{"text":"Zhou, Decheng","contributorId":172941,"corporation":false,"usgs":false,"family":"Zhou","given":"Decheng","email":"","affiliations":[{"id":27124,"text":"Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China","active":true,"usgs":false}],"preferred":false,"id":696530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oeding, Jennifer joeding@usgs.gov","contributorId":4070,"corporation":false,"usgs":true,"family":"Oeding","given":"Jennifer","email":"joeding@usgs.gov","affiliations":[],"preferred":true,"id":696531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhao, Shuqing","contributorId":9152,"corporation":false,"usgs":true,"family":"Zhao","given":"Shuqing","email":"","affiliations":[],"preferred":false,"id":696532,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047088,"text":"70047088 - 2013 - U.S. Geological Survey water-resource monitoring activities in support of the Wyoming Landscape Conservation Initiative","interactions":[],"lastModifiedDate":"2013-07-17T13:01:18","indexId":"70047088","displayToPublicDate":"2013-07-17T12:53:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":234,"text":"WLCI Fact Sheet","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"4","title":"U.S. Geological Survey water-resource monitoring activities in support of the Wyoming Landscape Conservation Initiative","docAbstract":"The quality of the Nation’s water resources are vital to the health and well-being of both our communities and the natural landscapes we value. The U.S. Geological Survey investigates the occurrence, quantity, quality, distribution, and movement of surface water and groundwater and provides this information to engineers, scientists, managers, educators, and the general public. This information also supplements current (2013) and historical water data provided by the National Water Information System. The U.S. Geological Survey collects and shares data nationwide, but how those data are used is often site specific; this variety of data assists natural-resource managers in addressing unique, local, and regional challenges.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Soileau, S., and Miller, K., 2013, U.S. Geological Survey water-resource monitoring activities in support of the Wyoming Landscape Conservation Initiative: WLCI Fact Sheet 4, 2 p.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":275119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70047088.gif"},{"id":275117,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wlci/fs/4/"},{"id":275118,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wlci/fs/4/WLCI_fs_4.pdf"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0569,40.9947 ], [ -111.0569,45.0059 ], [ -104.0522,45.0059 ], [ -104.0522,40.9947 ], [ -111.0569,40.9947 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e7aed8e4b080b82b09c61e","contributors":{"authors":[{"text":"Soileau, Suzanna 0000-0002-4331-0098","orcid":"https://orcid.org/0000-0002-4331-0098","contributorId":57349,"corporation":false,"usgs":true,"family":"Soileau","given":"Suzanna","affiliations":[],"preferred":false,"id":481032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Kirk","contributorId":81891,"corporation":false,"usgs":true,"family":"Miller","given":"Kirk","affiliations":[],"preferred":false,"id":481033,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046847,"text":"70046847 - 2013 - Hysteresis in suspended sediment to turbidity relations due to changing particle size distributions","interactions":[],"lastModifiedDate":"2013-10-23T13:59:24","indexId":"70046847","displayToPublicDate":"2013-07-17T11:11:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hysteresis in suspended sediment to turbidity relations due to changing particle size distributions","docAbstract":"Turbidity (T) is the most ubiquitous of surrogate technologies used to estimate suspended-sediment concentration (SSC). The effects of sediment size on turbidity are well documented; however, effects from changes in particle size distributions (PSD) are rarely evaluated. Hysteresis in relations of SSC-to-turbidity (SSC~T) for single stormflow events was observed and quantified for a data set of 195 concurrent measurements of SSC, turbidity, discharge, velocity, and volumetric PSD collected during five stormflows in 2009–2010 on Yellow River at Gees Mill Road in metropolitan Atlanta, Georgia. Regressions of SSC-normalized turbidity (T/SSC) on concurrently measured PSD percentiles show an inverse, exponential influence of particle size on turbidity that is not constant across the size range of the PSD. The majority of the influence of PSD on T/SSC is from particles of fine-silt and smaller sizes (finer than 16 microns). This study shows that small changes in the often assumed stability of the PSD are significant to SSC~T relations. Changes of only 5 microns in the fine silt and smaller size fractions of suspended sediment PSD can produce hysteresis in the SSC~T rating that can increase error and produce bias. Observed SSC~T hysteresis may be an indicator of changes in sediment properties during stormflows and of potential changes in sediment sources. Trends in the PSD time series indicate that sediment transport is capacity-limited for sand-sized sediment in the channel and supply-limited for fine silt and smaller sediment from the hillslope.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/wrcr.20394","usgsCitation":"Landers, M.N., and Sturm, T.W., 2013, Hysteresis in suspended sediment to turbidity relations due to changing particle size distributions: Water Resources Research, v. 49, no. 9, p. 5487-5500, https://doi.org/10.1002/wrcr.20394.","productDescription":"14 p.","startPage":"5487","endPage":"5500","numberOfPages":"14","ipdsId":"IP-040416","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":275109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275108,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20394"}],"scale":"100000","country":"United States","state":"Georgia","otherGeospatial":"Yellow River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.256897,33.648922 ], [ -84.256897,34.100434 ], [ -83.909626,34.100434 ], [ -83.909626,33.648922 ], [ -84.256897,33.648922 ] ] ] } } ] }","volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-09","publicationStatus":"PW","scienceBaseUri":"51e7aed6e4b080b82b09c606","contributors":{"authors":[{"text":"Landers, Mark N. 0000-0002-3014-0480 landers@usgs.gov","orcid":"https://orcid.org/0000-0002-3014-0480","contributorId":1103,"corporation":false,"usgs":true,"family":"Landers","given":"Mark","email":"landers@usgs.gov","middleInitial":"N.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":480452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sturm, Terry W.","contributorId":36445,"corporation":false,"usgs":true,"family":"Sturm","given":"Terry","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480453,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047083,"text":"fs20133044 - 2013 - Development of a geodatabase for springs within and surrounding outcrops of the Trinity aquifer in northern Bexar County, Texas, 2010-11","interactions":[],"lastModifiedDate":"2016-08-05T13:47:01","indexId":"fs20133044","displayToPublicDate":"2013-07-17T09:40:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3044","title":"Development of a geodatabase for springs within and surrounding outcrops of the Trinity aquifer in northern Bexar County, Texas, 2010-11","docAbstract":"<p>The Trinity aquifer is an important source of groundwater in central Texas, including Bexar County, where population growth has resulted in an increased demand for water (Ashworth, 1983; Mace and others, 2000). Numerous springs issue from rock outcrops within and surrounding the Trinity aquifer in northern Bexar County (fig. 1). The effects of increased groundwater withdrawals from the Trinity aquifer on springflow in the area are not well documented, but because the total amount of water entering, leaving, and being stored in a groundwater system must be conserved, increased groundwater withdrawals will result in decreases in springflow (Alley and others, 1999). Documenting the location, discharge, and basic water-quality information of the springs in northern Bexar County can provide a baseline assessment for comparison to future conditions. Accordingly, the U.S. Geological Survey (USGS), in cooperation with the Trinity Glen Rose Groundwater Conservation District, the Edwards Aquifer Authority, and the San Antonio River Authority, developed a geodatabase populated with data associated with springs within and surrounding outcrops of the Trinity aquifer in northern Bexar County during 2010&ndash;11. A geodatabase provides a framework for organizing spatial and tabular data (such as the geographic location and water-quality characteristics, respectively) in a relational database environment, making it easier and more intuitive to evaluate changes over time.</p>\n<p>Data for 141 springs within and surrounding the Trinity aquifer outcrops in northern Bexar County were compiled from existing reports and databases. These data were augmented with selected data collected onsite, including the location, discharge, and water-quality characteristics of selected springs, and were entered into the geodatabase. The Trinity aquifer in central Texas is commonly divided into the upper, middle, and lower Trinity aquifers; all of the information that was compiled pertaining to the aquifer is for the upper and middle Trinity aquifers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133044","collaboration":"Prepared in cooperation with Trinity Glen Rose Groundwater Conservation District, Edwards Aquifer Authority, and San Antonio River Authority","usgsCitation":"Clark, A.K., and Pedraza, D.E., 2013, Development of a geodatabase for springs within and surrounding outcrops of the Trinity aquifer in northern Bexar County, Texas, 2010-11: U.S. Geological Survey Fact Sheet 2013-3044, 4 p., https://doi.org/10.3133/fs20133044.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048945","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":275106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133044.gif"},{"id":275102,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3044/"},{"id":275105,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3044/FS_2013-3044.pdf"}],"country":"United States","state":"Texas","county":"Bexar County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.833333,29.5 ], [ -98.833333,29.8 ], [ -98.333333,29.8 ], [ -98.333333,29.5 ], [ -98.833333,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e7aed0e4b080b82b09c5fe","contributors":{"authors":[{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pedraza, Diane E.","contributorId":67788,"corporation":false,"usgs":true,"family":"Pedraza","given":"Diane","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481026,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047082,"text":"sir20135030 - 2013 - Software for analysis of chemical mixtures--composition, occurrence, distribution, and possible toxicity","interactions":[],"lastModifiedDate":"2013-07-17T09:37:11","indexId":"sir20135030","displayToPublicDate":"2013-07-17T09:32:00","publicationYear":"2013","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":"2013-5030","title":"Software for analysis of chemical mixtures--composition, occurrence, distribution, and possible toxicity","docAbstract":"The composition, occurrence, distribution, and possible toxicity of chemical mixtures in the environment are research concerns of the U.S. Geological Survey and others. The presence of specific chemical mixtures may serve as indicators of natural phenomena or human-caused events. Chemical mixtures may also have ecological, industrial, geochemical, or toxicological effects. Chemical-mixture occurrences vary by analyte composition and concentration. Four related computer programs have been developed by the National Water-Quality Assessment Program of the U.S. Geological Survey for research of chemical-mixture compositions, occurrences, distributions, and possible toxicities. The compositions and occurrences are identified for the user-supplied data, and therefore the resultant counts are constrained by the user’s choices for the selection of chemicals, reporting limits for the analytical methods, spatial coverage, and time span for the data supplied. The distribution of chemical mixtures may be spatial, temporal, and (or) related to some other variable, such as chemical usage. Possible toxicities optionally are estimated from user-supplied benchmark data.\n\nThe software for the analysis of chemical mixtures described in this report is designed to work with chemical-analysis data files retrieved from the U.S. Geological Survey National Water Information System but can also be used with appropriately formatted data from other sources. Installation and usage of the mixture software are documented. This mixture software was designed to function with minimal changes on a variety of computer-operating systems. To obtain the software described herein and other U.S. Geological Survey software, visit http://water.usgs.gov/software/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135030","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Scott, J.C., Skach, K.A., and Toccalino, P., 2013, Software for analysis of chemical mixtures--composition, occurrence, distribution, and possible toxicity: U.S. Geological Survey Scientific Investigations Report 2013-5030, iv, 27 p., https://doi.org/10.3133/sir20135030.","productDescription":"iv, 27 p.","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-041335","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":275104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135030.gif"},{"id":275101,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5030/"},{"id":275103,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5030/sir2013-5030.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e7aed8e4b080b82b09c61a","contributors":{"authors":[{"text":"Scott, Jonathon C. jcscott@usgs.gov","contributorId":5449,"corporation":false,"usgs":true,"family":"Scott","given":"Jonathon","email":"jcscott@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":481023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skach, Kenneth A. kaskach@usgs.gov","contributorId":1894,"corporation":false,"usgs":true,"family":"Skach","given":"Kenneth","email":"kaskach@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":481022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toccalino, Patricia L. 0000-0003-1066-1702","orcid":"https://orcid.org/0000-0003-1066-1702","contributorId":41089,"corporation":false,"usgs":true,"family":"Toccalino","given":"Patricia L.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":481024,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046953,"text":"fs20133038 - 2013 - The National Water-Quality Assessment (NAWQA) Program planned monitoring and modeling activities for Texas, 2013–23","interactions":[],"lastModifiedDate":"2016-08-05T13:48:14","indexId":"fs20133038","displayToPublicDate":"2013-07-16T15:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3038","title":"The National Water-Quality Assessment (NAWQA) Program planned monitoring and modeling activities for Texas, 2013–23","docAbstract":"<p>The U.S. Geological Survey&rsquo;s (USGS) National Water-Quality Assessment (NAWQA) Program was established by Congress in 1992 to answer the following question: What is the status of the Nation&rsquo;s water quality and is it getting better or worse? Since 1992, NAWQA has been a primary source of nationally consistent data and information on the quality of the Nation&rsquo;s streams and groundwater. Data and information obtained from objective and nationally consistent water-quality monitoring and modeling activities provide answers to where, when, and why the Nation&rsquo;s water quality is degraded and what can be done to improve and protect it for human and ecosystem needs. For NAWQA&rsquo;s third decade (2013&ndash;23), a new strategic Science Plan has been developed that describes a strategy for building upon and enhancing the USGS&rsquo;s ongoing assessment of the Nation&rsquo;s freshwater quality and aquatic ecosystems.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133038","usgsCitation":"Ging, P., 2013, The National Water-Quality Assessment (NAWQA) Program planned monitoring and modeling activities for Texas, 2013–23: U.S. Geological Survey Fact Sheet 2013-3038, 2 p., https://doi.org/10.3133/fs20133038.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046123","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":275099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133038.gif"},{"id":275097,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3038/"},{"id":275098,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3038/FS2013-3038.pdf"}],"country":"United States","state":"Texas","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e65d5ae4b017be1ba34744","contributors":{"authors":[{"text":"Ging, Patricia","contributorId":77027,"corporation":false,"usgs":true,"family":"Ging","given":"Patricia","affiliations":[],"preferred":false,"id":480672,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047080,"text":"ofr20131121 - 2013 - Linear extension rates of massive corals from the Dry Tortugas National Park (DRTO), Florida","interactions":[],"lastModifiedDate":"2016-03-30T11:53:34","indexId":"ofr20131121","displayToPublicDate":"2013-07-16T15:38:00","publicationYear":"2013","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":"2013-1121","title":"Linear extension rates of massive corals from the Dry Tortugas National Park (DRTO), Florida","docAbstract":"<p><span>Colonies of three coral species,</span><i>&nbsp;Montastraea faveolata</i><span>,&nbsp;</span><i>Diploria strigosa</i><span>, and&nbsp;</span><i>Siderastrea siderea</i><span>, located in the Dry Tortugas National Park (DRTO), Florida, were sampled and analyzed to evaluate annual linear extension rates.&nbsp;</span><i>Montastraea faveolata</i><span>&nbsp;had the highest average linear extension and variability in (DRTO: C2 = 0.67 centimeters/year (cm yr</span><sup>-1</sup><span>) &plusmn; 0.04, B3 = 0.85 cm yr</span><sup>-1</sup><span>&nbsp;&plusmn; 0.07), followed by&nbsp;</span><i>D. strigosa</i><span>&nbsp;(DRTO: C1 = 0.73 cm yr</span><sup>-1</sup><span>&nbsp;&plusmn; 0.04; MK = 0.59 cm yr</span><sup>-1</sup><span>&nbsp;&plusmn; 0.06) and&nbsp;</span><i>S. siderea</i><span>&nbsp;(DRTO: A1 = 0.41 cm yr</span><sup>-1</sup><span>&nbsp;&plusmn; 0.03). Intercolony comparison of&nbsp;</span><i>M. faveolata</i><span>&nbsp;from DRTO yielded a significant correlation (r = 0.34, df = 67, P = 0.005) and similar long-term patterns. DRTO&nbsp;</span><i>S. siderea</i><span>&nbsp;core A1 showed an overall increasing trend (r = 0.61, df = 119, P &lt; 0.0001) in extension rates that correlated significantly with International Comprehensive Ocean/Atmosphere Data Set annual sea-surface temperature (r = 0.42, df = 115, P &lt; 0.0001) and an air temperature record from Key West (r = 0.37, df = 111, P &lt; 0.0001). In conclusion, annual linear extension rates are species specific and potentially influence by long-term variability in sea-surface temperature.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131121","usgsCitation":"Muslic, A., Flannery, J.A., Reich, C.D., Umberger, D.K., Smoak, J.M., and Poore, R.Z., 2013, Linear extension rates of massive corals from the Dry Tortugas National Park (DRTO), Florida: U.S. Geological Survey Open-File Report 2013-1121, iii, 22 p., https://doi.org/10.3133/ofr20131121.","productDescription":"iii, 22 p.","numberOfPages":"25","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":275096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131121.gif"},{"id":275094,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1121/"},{"id":275095,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1121/pdf/ofr2013-1121.pdf","text":"Report"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park (drto)","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.9275,24.6262 ], [ -82.9275,24.6386 ], [ -82.9146,24.6386 ], [ -82.9146,24.6262 ], [ -82.9275,24.6262 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e65d57e4b017be1ba34729","contributors":{"authors":[{"text":"Muslic, Adis","contributorId":80809,"corporation":false,"usgs":true,"family":"Muslic","given":"Adis","email":"","affiliations":[],"preferred":false,"id":481020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flannery, Jennifer A. 0000-0002-1692-2662 jflannery@usgs.gov","orcid":"https://orcid.org/0000-0002-1692-2662","contributorId":4317,"corporation":false,"usgs":true,"family":"Flannery","given":"Jennifer","email":"jflannery@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481017,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Umberger, Daniel K.","contributorId":87839,"corporation":false,"usgs":true,"family":"Umberger","given":"Daniel","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":481021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smoak, Joseph M.","contributorId":32392,"corporation":false,"usgs":true,"family":"Smoak","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481019,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":481016,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046993,"text":"70046993 - 2013 - Phylogeography and population genetic structure of double-crested cormorants (Phalacrocorax auritus)","interactions":[],"lastModifiedDate":"2017-11-22T10:17:48","indexId":"70046993","displayToPublicDate":"2013-07-16T14:11:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Phylogeography and population genetic structure of double-crested cormorants (Phalacrocorax auritus)","docAbstract":"We examined the genetic structure of doublecrested cormorants (Phalacrocorax auritus) across their range in the United States and Canada. Sequences of the mitochondrial control region were analyzed for 248 cormorants\nfrom 23 breeding sites. Variation was also examined at eight microsatellite loci for 409 cormorants from the same sites. The mitochondrial and microsatellite data provided strong evidence that the Alaskan subspecies (P. a. cincinnatus)\nis genetically divergent from other populations in North America (net sequence divergence = 5.85 %;UST for mitochondrial control region = 0.708; FST for microsatellite loci = 0.052). Historical records, contemporary population estimates, and field observations are consistent with recognition of the Alaskan subspecies as distinct and potentially of conservation interest. Our data also indicated the presence of another divergent lineage, associated with the southwestern portion of the species range, as evidenced by highly unique haplotypes sampled in southern California. In contrast, there was little support for recognition of subspecies within the conterminous U.S. and Canada. Rather than genetically distinct regions corresponding to the putative subspecies [P. a. albociliatus (Pacific), P. a. auritus (Interior and North Atlantic), and P. a. floridanus (Southeast)], we observed a distribution of genetic variation consistent with a pattern of isolation by distance. This pattern implies that genetic differences across the range are due to geographic distance, rather than discrete subspecific breaks. Although three of the four traditional subspecies were not genetically distinct, possible demographic separation, habitat differences, and documented declines at some colonies within the regions, suggests that the Pacific and possibly North Atlantic portions of the breeding range may warrant differential consideration from the Interior and Southeast breeding regions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10592-013-0477-8","usgsCitation":"Mercer, D., Haig, S.M., and Roby, D.D., 2013, Phylogeography and population genetic structure of double-crested cormorants (Phalacrocorax auritus): Conservation Genetics, v. 14, no. 4, p. 823-836, https://doi.org/10.1007/s10592-013-0477-8.","productDescription":"14 p.","startPage":"823","endPage":"836","numberOfPages":"14","ipdsId":"IP-042945","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":275087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275086,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-013-0477-8"},{"id":274903,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/content/pdf/10.1007%2Fs10592-013-0477-8.pdf"}],"country":"Canada;Mexico;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.46,24.45 ], [ -166.46,62.47 ], [ -52.29,62.47 ], [ -52.29,24.45 ], [ -166.46,24.45 ] ] ] } } ] }","volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-02","publicationStatus":"PW","scienceBaseUri":"51e65d58e4b017be1ba34731","contributors":{"authors":[{"text":"Mercer, Dacey","contributorId":89034,"corporation":false,"usgs":true,"family":"Mercer","given":"Dacey","email":"","affiliations":[],"preferred":false,"id":480815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":480813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roby, Daniel D. 0000-0001-9844-0992 droby@usgs.gov","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":3702,"corporation":false,"usgs":true,"family":"Roby","given":"Daniel","email":"droby@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":480814,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046823,"text":"70046823 - 2013 - The role of viscous magma mush spreading in volcanic flank motion at Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2018-10-30T08:54:50","indexId":"70046823","displayToPublicDate":"2013-07-16T11:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"The role of viscous magma mush spreading in volcanic flank motion at Kīlauea Volcano, Hawai‘i","docAbstract":"<p>Multiple mechanisms have been suggested to explain seaward motion of the south flank of Kīlauea Volcano, Hawai‘i. The consistency of flank motion during both waxing and waning magmatic activity at Kīlauea suggests that a continuously acting force, like gravity body force, plays a substantial role. Using finite element models, we test whether gravity is the principal driver of long-term motion of Kīlauea's flank. We compare our model results to geodetic data from Global Positioning System and interferometric synthetic aperture radar during a time period with few magmatic and tectonic events (2000-2003), when deformation of Kīlauea was dominated by summit subsidence and seaward motion of the south flank. We find that gravity-only models can reproduce the horizontal surface velocities if we incorporate a regional décollement fault and a deep, low-viscosity magma mush zone. To obtain quasi steady state horizontal surface velocities that explain the long-term seaward motion of the flank, we find that an additional weak zone is needed, which is an extensional rift zone above the magma mush. The spreading rate in our model is mainly controlled by the magma mush viscosity, while its density plays a less significant role. We find that a viscosity of 2.5 × 1017–2.5 × 1019 Pa s for the magma mush provides an acceptable fit to the observed horizontal surface deformation. Using high magma mush viscosities, such as 2.5 × 1019 Pa s, the deformation rates remain more steady state over longer time scales. These models explain a significant amount of the observed subsidence at Kīlauea's summit. Some of the remaining subsidence is probably a result of magma withdrawal from subsurface reservoirs.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrb.50194","usgsCitation":"Plattner, C., Amelung, F., Baker, S., Govers, R., and Poland, M.P., 2013, The role of viscous magma mush spreading in volcanic flank motion at Kīlauea Volcano, Hawai‘i: Journal of Geophysical Research B: Solid Earth, v. 118, no. 5, p. 2474-2487, https://doi.org/10.1002/jgrb.50194.","productDescription":"14 p.","startPage":"2474","endPage":"2487","numberOfPages":"14","ipdsId":"IP-042374","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50194","text":"Publisher Index Page"},{"id":275063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275061,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50194"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.7051,18.93750 ], [ -155.7051,19.7111 ], [ -154.8083,19.7111 ], [ -154.8083,18.93750 ], [ -155.7051,18.93750 ] ] ] } } ] }","volume":"118","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-16","publicationStatus":"PW","scienceBaseUri":"51e65d5ce4b017be1ba34748","contributors":{"authors":[{"text":"Plattner, C.","contributorId":53275,"corporation":false,"usgs":true,"family":"Plattner","given":"C.","email":"","affiliations":[],"preferred":false,"id":480366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amelung, F.","contributorId":106268,"corporation":false,"usgs":true,"family":"Amelung","given":"F.","affiliations":[],"preferred":false,"id":480367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, S.","contributorId":31290,"corporation":false,"usgs":true,"family":"Baker","given":"S.","affiliations":[],"preferred":false,"id":480364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Govers, R.","contributorId":107174,"corporation":false,"usgs":true,"family":"Govers","given":"R.","email":"","affiliations":[],"preferred":false,"id":480368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":480365,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046901,"text":"70046901 - 2013 - Historical and contemporary geographic data reveal complex spatial and temporal responses of vegetation to climate and land stewardship","interactions":[],"lastModifiedDate":"2013-07-16T11:18:16","indexId":"70046901","displayToPublicDate":"2013-07-16T11:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Historical and contemporary geographic data reveal complex spatial and temporal responses of vegetation to climate and land stewardship","docAbstract":"Vegetation and land-cover changes are not always directional but follow complex trajectories over space and time, driven by changing anthropogenic and abiotic conditions. We present a multi-observational approach to land-change analysis that addresses the complex geographic and temporal variability of vegetation changes related to climate and land use. Using land-ownership data as a proxy for land-use practices, multitemporal land-cover maps, and repeat photography dating to the late 19th century, we examine changing spatial and temporal distributions of two vegetation types with high conservation value in the southwestern United States: grasslands and riparian vegetation. In contrast to many reported vegetation changes, notably shrub encroachment in desert grasslands, we found an overall increase in grassland area and decline of xeroriparian and riparian vegetation. These observed change patterns were neither temporally directional nor spatially uniform over the landscape. Historical data suggest that long-term vegetation changes coincide with broad climate fluctuations while fine-scale patterns are determined by land-management practices. In some cases, restoration and active management appear to weaken the effects of climate on vegetation; therefore, if land managers in this region act in accord with on-going directional changes, the current drought and associated ecological reorganization may provide an opportunity to achieve desired restoration endpoints.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Land","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","doi":"10.3390/land2020194","usgsCitation":"Villarreal, M., Norman, L.M., Webb, R., and Turner, R., 2013, Historical and contemporary geographic data reveal complex spatial and temporal responses of vegetation to climate and land stewardship: Land, v. 2, no. 2, p. 194-224, https://doi.org/10.3390/land2020194.","productDescription":"31 p.","startPage":"194","endPage":"224","ipdsId":"IP-043863","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land2020194","text":"Publisher Index Page"},{"id":275053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274715,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/land2020194"},{"id":274716,"type":{"id":15,"text":"Index Page"},"url":"https://www.mdpi.com/2073-445X/2/2/194"}],"volume":"2","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"51e65d56e4b017be1ba34725","contributors":{"authors":[{"text":"Villarreal, Miguel L.","contributorId":107012,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel L.","affiliations":[],"preferred":false,"id":480577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":480574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":480575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Raymond M.","contributorId":7383,"corporation":false,"usgs":true,"family":"Turner","given":"Raymond M.","affiliations":[],"preferred":false,"id":480576,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046865,"text":"70046865 - 2013 - Habitat and co-occurrence of native and invasive crayfish in the Pacific Northwest, USA","interactions":[],"lastModifiedDate":"2013-07-16T11:00:14","indexId":"70046865","displayToPublicDate":"2013-07-16T10:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Habitat and co-occurrence of native and invasive crayfish in the Pacific Northwest, USA","docAbstract":"Biological invasions can have dramatic effects on freshwater ecosystems and introduced crayfish can be particularly impacting. We document crayfish distribution in three large hydrographic basins (Rogue, Umpqua, Willamette/Columbia) in the Pacific Northwest USA. We used occupancy analyses to investigate habitat relationships and evidence for displacement of native Pacifastacus leniusculus (Dana, 1852) by two invaders. We found invasive Procambarus clarkii (Girard, 1852), in 51 of 283 sites and in all three hydrographic basins. We found invasive Orconectes n. neglectus (Faxon, 1885) at 68% of sites in the Rogue basin and provide first documentation of their broad distribution in the Umpqua basin. We found P. clarkii in both lentic and lotic habitats, and it was positively associated with manmade sites. P. leniusculus was positively associated with lotic habitats and negatively related to manmade sites. In the Rogue and Umpqua basins, O. n. neglectus and P. leniusculus were similar in their habitat associations. We did not find a negative relationship in site occupancy between O. n. neglectus and P. leniusculus. Our data suggest that P. clarkii has potential to locally displace P. leniusculus. There is still time for preventive measures to limit the spread of the invasive crayfish in this region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"REABIC","doi":"10.3391/ai.2013.8.2.05","usgsCitation":"Pearl, C., Adams, M.J., and McCreary, B., 2013, Habitat and co-occurrence of native and invasive crayfish in the Pacific Northwest, USA: Aquatic Invasions, v. 8, no. 2, p. 171-184, https://doi.org/10.3391/ai.2013.8.2.05.","productDescription":"14 p.","startPage":"171","endPage":"184","ipdsId":"IP-044200","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473683,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/ai.2013.8.2.05","text":"Publisher Index Page"},{"id":275048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274700,"type":{"id":15,"text":"Index Page"},"url":"https://www.aquaticinvasions.net/2013/AI_2013_2_Pearl_etal.pdf"},{"id":275046,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3391/ai.2013.8.2.05"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e65d56e4b017be1ba3471d","contributors":{"authors":[{"text":"Pearl, Christopher A. 0000-0003-2943-7321","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":84316,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":480499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":480498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCreary, Brome","contributorId":105005,"corporation":false,"usgs":true,"family":"McCreary","given":"Brome","affiliations":[],"preferred":false,"id":480500,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047060,"text":"fs20133045 - 2013 - Culvert Analysis Program Graphical User Interface 1.0--A preprocessing and postprocessing tool for estimating flow through culvert","interactions":[],"lastModifiedDate":"2013-07-16T10:56:09","indexId":"fs20133045","displayToPublicDate":"2013-07-16T10:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3045","title":"Culvert Analysis Program Graphical User Interface 1.0--A preprocessing and postprocessing tool for estimating flow through culvert","docAbstract":"The peak discharge of a flood can be estimated from the elevation of high-water marks near the inlet and outlet of a culvert after the flood has occurred. This type of discharge estimate is called an “indirect measurement” because it relies on evidence left behind by the flood, such as high-water marks on trees or buildings. When combined with the cross-sectional geometry of the channel upstream from the culvert and the culvert size, shape, roughness, and orientation, the high-water marks define a water-surface profile that can be used to estimate the peak discharge by using the methods described by Bodhaine (1968). This type of measurement is in contrast to a “direct” measurement of discharge made during the flood where cross-sectional area is measured and a current meter or acoustic equipment is used to measure the water velocity. When a direct discharge measurement cannot be made at a streamgage during high flows because of logistics or safety reasons, an indirect measurement of a peak discharge is useful for defining the high-flow section of the stage-discharge relation (rating curve) at the streamgage, resulting in more accurate computation of high flows. The Culvert Analysis Program (CAP) (Fulford, 1998) is a command-line program written in Fortran for computing peak discharges and culvert rating surfaces or curves. CAP reads input data from a formatted text file and prints results to another formatted text file. Preparing and correctly formatting the input file may be time-consuming and prone to errors. This document describes the CAP graphical user interface (GUI)—a modern, cross-platform, menu-driven application that prepares the CAP input file, executes the program, and helps the user interpret the output","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133045","usgsCitation":"Bradley, D.N., 2013, Culvert Analysis Program Graphical User Interface 1.0--A preprocessing and postprocessing tool for estimating flow through culvert: U.S. Geological Survey Fact Sheet 2013-3045, 4 p., https://doi.org/10.3133/fs20133045.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":338,"text":"Hydrologic Analysis Software Support Program","active":false,"usgs":true}],"links":[{"id":275047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133045.gif"},{"id":275044,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3045/"},{"id":275045,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3045/pdf/fs2013-3045.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e65d4fe4b017be1ba34711","contributors":{"authors":[{"text":"Bradley, D. Nathan","contributorId":79776,"corporation":false,"usgs":true,"family":"Bradley","given":"D.","email":"","middleInitial":"Nathan","affiliations":[],"preferred":false,"id":480945,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047014,"text":"70047014 - 2013 - Fire regimes of quaking aspen in the Mountain West","interactions":[],"lastModifiedDate":"2013-07-15T13:34:46","indexId":"70047014","displayToPublicDate":"2013-07-15T13:25:48","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Fire regimes of quaking aspen in the Mountain West","docAbstract":"Quaking aspen (Populus tremuloides Michx.) is the most widespread tree species in North America, and it is found throughout much of the Mountain West (MW) across a broad range of bioclimatic regions. Aspen typically regenerates asexually and prolifically after fire, and due to its seral status in many western conifer forests, aspen is often considered dependent upon disturbance for persistence. In many landscapes, historical evidence for post-fire aspen establishment is clear, and following extended fire-free periods senescing or declining aspen overstories sometimes lack adequate regeneration and are succeeding to conifers. However, aspen also forms relatively stable stands that contain little or no evidence of historical fire. In fact, aspen woodlands range from highly fire-dependent, seral communities to relatively stable, self-replacing, non-seral communities that do not require fire for persistence. Given the broad geographic distribution of aspen, fire regimes in these forests likely co-vary spatially with changing community composition, landscape setting, and climate, and temporally with land use and climate – but relatively few studies have explicitly focused on these important spatiotemporal variations. Here we reviewed the literature to summarize aspen fire regimes in the western US and highlight knowledge gaps. We found that only about one-fourth of the 46 research papers assessed for this review could be considered fire history studies (in which mean fire intervals were calculated), and all but one of these were based primarily on data from fire-scarred conifers. Nearly half of the studies reported at least some evidence of persistent aspen in the absence of fire. We also found that large portions of the MW have had little or no aspen fire history research. As a result of this review, we put forth a classification framework for aspen that is defined by key fire regime parameters (fire severity and probability), and that reflects underlying biophysical settings and correlated aspen functional types. We propose the following aspen fire regime types: (1) fire-independent, stable aspen; (2) fire-influenced, stable aspen; (3) fire-dependent, seral, conifer-aspen mix; (4) fire-dependent, seral, montane aspen-conifer; and (5) fire-dependent, seral, subalpine aspen-conifer. Closing research gaps and validating our proposed aspen fire regime classification will likely require additional site-specific research, enhanced dendrochronology techniques, charcoal and pollen record analysis, spatially-explicit modeling, and other techniques. We hope to encourage development of site-appropriate disturbance ecology characterizations, in order to aid efforts to manage and restore aspen communities and to diagnose key factors contributing to changes in aspen.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2012.11.032","usgsCitation":"Shinneman, D., Baker, W.L., Rogers, P., and Kulakowski, D., 2013, Fire regimes of quaking aspen in the Mountain West: Forest Ecology and Management, v. 299, p. 22-34, https://doi.org/10.1016/j.foreco.2012.11.032.","productDescription":"13 p.","startPage":"22","endPage":"34","ipdsId":"IP-042218","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":274988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274950,"type":{"id":15,"text":"Index Page"},"url":"https://ac.els-cdn.com/S0378112712007086/1-s2.0-S0378112712007086-main.pdf?_tid=e51f440c-eb1c-11e2-9774-00000aacb360&acdnat=1373652191_11d3c5c269906eaf67a6f66c6772b081"},{"id":274984,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2012.11.032"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.01,31.33 ], [ -120.01,49.0 ], [ -102.0409,49.0 ], [ -102.0409,31.33 ], [ -120.01,31.33 ] ] ] } } ] }","volume":"299","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e50bd9e4b069f8d27cca7b","chorus":{"doi":"10.1016/j.foreco.2012.11.032","url":"http://dx.doi.org/10.1016/j.foreco.2012.11.032","publisher":"Elsevier BV","authors":"Shinneman Douglas J., Baker William L., Rogers Paul C., Kulakowski Dominik","journalName":"Forest Ecology and Management","publicationDate":"7/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Shinneman, Douglas J.","contributorId":70195,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas J.","affiliations":[],"preferred":false,"id":480858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, William L.","contributorId":30101,"corporation":false,"usgs":true,"family":"Baker","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Paul C.","contributorId":38452,"corporation":false,"usgs":true,"family":"Rogers","given":"Paul C.","affiliations":[],"preferred":false,"id":480856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulakowski, Dominik","contributorId":38453,"corporation":false,"usgs":true,"family":"Kulakowski","given":"Dominik","email":"","affiliations":[],"preferred":false,"id":480857,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047029,"text":"fs20133029 - 2013 - Water resources of Claiborne Parish, Louisiana","interactions":[],"lastModifiedDate":"2013-07-15T13:33:05","indexId":"fs20133029","displayToPublicDate":"2013-07-15T13:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3029","title":"Water resources of Claiborne Parish, Louisiana","docAbstract":"This fact sheet summarizes basic information on the water resources of Claiborne Parish. Information on groundwater and surface-water availability, quality, development, use, and trends is based on previously published reports listed in the Cited References section. In 2010, about 2.60 million gallons per day (Mgal/d) of water were withdrawn in Claiborne Parish, Louisiana, including about 2.42 Mgal/d from groundwater sources and 0.18 Mgal/d from surface-water sources. Public-supply use accounted for about 84 percent of the total water withdrawn. Other categories of use included industrial, rural domestic, livestock, and general irrigation. Water-use data collected at 5-year intervals from 1960 to 2010 indicated that total water withdrawals in the parish have ranged from about 2.6 to 3.9 Mgal/d.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133029","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Fendick, R., Prakken, L., and Griffith, J.M., 2013, Water resources of Claiborne Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3029, 6 p., https://doi.org/10.3133/fs20133029.","productDescription":"6 p.","numberOfPages":"6","additionalOnlineFiles":"N","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":274987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133029.gif"},{"id":274985,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3029/"},{"id":274986,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3029/FS2013-3029_Claiborne.pdf"}],"projection":"Universal Transverse Mercator, zone 15","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","county":"Claiborne Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.3653,32.2196 ], [ -93.3653,33.4996 ], [ -92.0853,33.4996 ], [ -92.0853,32.2196 ], [ -93.3653,32.2196 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e50bdae4b069f8d27cca7f","contributors":{"authors":[{"text":"Fendick, Robert B. Jr. rfendick@usgs.gov","contributorId":1313,"corporation":false,"usgs":true,"family":"Fendick","given":"Robert B.","suffix":"Jr.","email":"rfendick@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":480898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffith, Jason M. 0000-0002-8942-0380 jmgriff@usgs.gov","orcid":"https://orcid.org/0000-0002-8942-0380","contributorId":2923,"corporation":false,"usgs":true,"family":"Griffith","given":"Jason","email":"jmgriff@usgs.gov","middleInitial":"M.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480897,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046825,"text":"70046825 - 2013 - Evolution of dike opening during the March 2011 Kamoamoa fissure eruption, Kīlauea Volcano, Hawai`i","interactions":[],"lastModifiedDate":"2018-10-30T09:10:46","indexId":"70046825","displayToPublicDate":"2013-07-15T12:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of dike opening during the March 2011 Kamoamoa fissure eruption, Kīlauea Volcano, Hawai`i","docAbstract":"<p><span>The 5–9 March 2011 Kamoamoa fissure eruption along the east rift zone of Kīlauea Volcano, Hawai`i, followed months of pronounced inflation at Kīlauea summit. We examine dike opening during and after the eruption using a comprehensive interferometric synthetic aperture radar (InSAR) data set in combination with continuous GPS data. We solve for distributed dike displacements using a whole Kīlauea model with dilating rift zones and possibly a deep décollement. Modeled surface dike opening increased from nearly 1.5 m to over 2.8 m from the first day to the end of the eruption, in agreement with field observations of surface fracturing. Surface dike opening ceased following the eruption, but subsurface opening in the dike continued into May 2011. Dike volumes increased from 15, to 16, to 21 million cubic meters (MCM) after the first day, eruption end, and 2 months following, respectively. Dike shape is distinctive, with a main limb plunging from the surface to 2–3 km depth in the up‐rift direction toward Kīlauea's summit, and a lesser projection extending in the down‐rift direction toward Pu`u `Ō`ō at 2 km depth. Volume losses beneath Kīlauea summit (1.7 MCM) and Pu`u `Ō`ō (5.6 MCM) crater, relative to dike plus erupted volume (18.3 MCM), yield a dike to source volume ratio of 2.5 that is in the range expected for compressible magma without requiring additional sources. Inflation of Kīlauea's summit in the months before the March 2011 eruption suggests that the Kamoamoa eruption resulted from overpressure of the volcano's magmatic system.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/jgrb.50108","usgsCitation":"Lundgren, P., Poland, M.P., Miklius, A., Orr, T., Yun, S., Fielding, E., Liu, Z., Tanaka, A., Szeliga, W., Hensley, S., and Owen, S., 2013, Evolution of dike opening during the March 2011 Kamoamoa fissure eruption, Kīlauea Volcano, Hawai`i: Journal of Geophysical Research B: Solid Earth, v. 118, no. 3, p. 897-914, https://doi.org/10.1002/jgrb.50108.","productDescription":"18 p.","startPage":"897","endPage":"914","ipdsId":"IP-042091","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50108","text":"Publisher Index Page"},{"id":274980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274979,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50108"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.798371,19.05835 ], [ -155.798371,19.54759 ], [ -155.016307,19.54759 ], [ -155.016307,19.05835 ], [ -155.798371,19.05835 ] ] ] } } ] }","volume":"118","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-27","publicationStatus":"PW","scienceBaseUri":"51e50bd9e4b069f8d27cca73","contributors":{"authors":[{"text":"Lundgren, Paul","contributorId":34806,"corporation":false,"usgs":true,"family":"Lundgren","given":"Paul","affiliations":[],"preferred":false,"id":480376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":480377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miklius, Asta 0000-0002-2286-1886 asta@usgs.gov","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":2060,"corporation":false,"usgs":true,"family":"Miklius","given":"Asta","email":"asta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":480372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":3766,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","email":"torr@usgs.gov","affiliations":[],"preferred":false,"id":480373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yun, Sang-Ho","contributorId":102772,"corporation":false,"usgs":true,"family":"Yun","given":"Sang-Ho","email":"","affiliations":[],"preferred":false,"id":480382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fielding, Eric","contributorId":50434,"corporation":false,"usgs":true,"family":"Fielding","given":"Eric","affiliations":[],"preferred":false,"id":480379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Zhen","contributorId":57750,"corporation":false,"usgs":true,"family":"Liu","given":"Zhen","email":"","affiliations":[],"preferred":false,"id":480380,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tanaka, Akiko","contributorId":30121,"corporation":false,"usgs":true,"family":"Tanaka","given":"Akiko","email":"","affiliations":[],"preferred":false,"id":480375,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Szeliga, Walter","contributorId":50021,"corporation":false,"usgs":true,"family":"Szeliga","given":"Walter","email":"","affiliations":[],"preferred":false,"id":480378,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hensley, Scott","contributorId":85313,"corporation":false,"usgs":true,"family":"Hensley","given":"Scott","email":"","affiliations":[],"preferred":false,"id":480381,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Owen, Susan","contributorId":29004,"corporation":false,"usgs":true,"family":"Owen","given":"Susan","affiliations":[],"preferred":false,"id":480374,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70046879,"text":"70046879 - 2013 - Estimating raptor nesting success: old and new approaches","interactions":[],"lastModifiedDate":"2013-07-15T11:21:18","indexId":"70046879","displayToPublicDate":"2013-07-15T11:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating raptor nesting success: old and new approaches","docAbstract":"Studies of nesting success can be valuable in assessing the status of raptor populations, but differing monitoring protocols can present unique challenges when comparing populations of different species across time or geographic areas. We used large datasets from long-term studies of 3 raptor species to compare estimates of apparent nest success (ANS, the ratio of successful to total number of nesting attempts), Mayfield nesting success, and the logistic-exposure model of nest survival. Golden eagles (Aquila chrysaetos), prairie falcons (Falco mexicanus), and American kestrels (F. sparverius) differ in their breeding biology and the methods often used to monitor their reproduction. Mayfield and logistic-exposure models generated similar estimates of nesting success with similar levels of precision. Apparent nest success overestimated nesting success and was particularly sensitive to inclusion of nesting attempts discovered late in the nesting season. Thus, the ANS estimator is inappropriate when exact point estimates are required, especially when most raptor pairs cannot be located before or soon after laying eggs. However, ANS may be sufficient to assess long-term trends of species in which nesting attempts are highly detectable.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.566","usgsCitation":"Brown, J.L., Steenhof, K., Kochert, M.N., and Bond, L., 2013, Estimating raptor nesting success: old and new approaches: Journal of Wildlife Management, v. 77, no. 5, p. 1067-1074, https://doi.org/10.1002/jwmg.566.","productDescription":"8 p.","startPage":"1067","endPage":"1074","ipdsId":"IP-016369","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473687,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/jwmg.566","text":"External Repository"},{"id":274974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274710,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.566"}],"volume":"77","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-06-11","publicationStatus":"PW","scienceBaseUri":"51e50bd9e4b069f8d27cca6f","contributors":{"authors":[{"text":"Brown, Jessi L.","contributorId":44817,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","email":"","middleInitial":"L.","affiliations":[{"id":13184,"text":"Program in Ecology, Evolution and Conservation Biology, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":480552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":30585,"corporation":false,"usgs":true,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":480551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":480550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bond, Laura","contributorId":89103,"corporation":false,"usgs":true,"family":"Bond","given":"Laura","affiliations":[],"preferred":false,"id":480553,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047489,"text":"70047489 - 2013 - Spatially explicit models for inference about density in unmarked or partially marked populations","interactions":[],"lastModifiedDate":"2013-08-08T08:00:15","indexId":"70047489","displayToPublicDate":"2013-07-15T07:54:57","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":787,"text":"Annals of Applied Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit models for inference about density in unmarked or partially marked populations","docAbstract":"Recently developed spatial capture–recapture (SCR) models represent a major advance over traditional capture–recapture (CR) models because they yield explicit estimates of animal density instead of population size within an unknown area. Furthermore, unlike nonspatial CR methods, SCR models account for heterogeneity in capture probability arising from the juxtaposition of animal activity centers and sample locations. Although the utility of SCR methods is gaining recognition, the requirement that all individuals can be uniquely identified excludes their use in many contexts. In this paper, we develop models for situations in which individual recognition is not possible, thereby allowing SCR concepts to be applied in studies of unmarked or partially marked populations. The data required for our model are spatially referenced counts made on one or more sample occasions at a collection of closely spaced sample units such that individuals can be encountered at multiple locations. Our approach includes a spatial point process for the animal activity centers and uses the spatial correlation in counts as information about the number and location of the activity centers. Camera-traps, hair snares, track plates, sound recordings, and even point counts can yield spatially correlated count data, and thus our model is widely applicable. A simulation study demonstrated that while the posterior mean exhibits frequentist bias on the order of 5–10% in small samples, the posterior mode is an accurate point estimator as long as adequate spatial correlation is present. Marking a subset of the population substantially increases posterior precision and is recommended whenever possible. We applied our model to avian point count data collected on an unmarked population of the northern parula (Parula americana) and obtained a density estimate (posterior mode) of 0.38 (95% CI: 0.19–1.64) birds/ha. Our paper challenges sampling and analytical conventions in ecology by demonstrating that neither spatial independence nor individual recognition is needed to estimate population density—rather, spatial dependence can be informative about individual distribution and density.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annals of Applied Statistics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Mathematical Statistics","doi":"10.1214/12-AOAS610","usgsCitation":"Chandler, R.B., and Royle, J., 2013, Spatially explicit models for inference about density in unmarked or partially marked populations: Annals of Applied Statistics, v. 7, no. 2, p. 936-954, https://doi.org/10.1214/12-AOAS610.","productDescription":"19 p.","startPage":"936","endPage":"954","ipdsId":"IP-041849","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://arxiv.org/abs/1112.3250","text":"Publisher Index Page"},{"id":276189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276184,"type":{"id":15,"text":"Index Page"},"url":"https://projecteuclid.org/euclid.aoas/1372338474"},{"id":276183,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1214/12-AOAS610"}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a37de4b02bdb1bc63fe4","contributors":{"authors":[{"text":"Chandler, Richard B. rchandler@usgs.gov","contributorId":63524,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":482175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":482176,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}