This assessment report presents the results of the 2013 AMAP \nAssessment of Arctic Ocean Acidification (AOA). This is the \nfirst such assessment dealing with AOA from an Arctic-wide \nperspective, and complements several assessments that AMAP \nhas delivered over the past ten years concerning the effects of \nclimate change on Arctic ecosystems and people.
\nThe Arctic Monitoring and Assessment Programme (AMAP) is \na group working under the Arctic Council. The Arctic Council \nMinisters have requested AMAP to:\n
\n
\n
- produce integrated assessment reports on the status and \ntrends of the conditions of the Arctic ecosystems;
\n- identify possible causes for the changing conditions;
\n- detect emerging problems, their possible causes, and the \npotential risk to Arctic ecosystems including indigenous \npeoples and other Arctic residents; and to
\n- recommend actions required to reduce risks to \nArctic ecosystems.
\nThis report provides the accessible scientific basis and validation \nfor the statements and recommendations made in the Arctic \nOcean Acidification Assessment Summary for Policy-makers\nthat was delivered to Arctic Council Ministers at their meeting \nin Kiruna, Sweden in May 2011 and the related AMAP State \nof the Arctic Environment report Arctic Ocean Acidification \n2013: An Overview\n. It includes extensive background data and \nreferences to the scientific literature, and details the sources \nfor figures reproduced in the overview report. Whereas the \nSummary for Policy-makers report contains recommendations \nthat focus mainly on policy-relevant actions concerned with \naddressing the consequences of AOA, the conclusions and \nrecommendations presented in this report also cover issues \nof a more scientific nature, such as proposals for filling gaps \nin knowledge, and recommendations relevant to future \nmonitoring and research work.
\nThe AOA assessment was conducted between 2010 and 2013 by \nan international group of over 60 experts. Lead authors were \nselected based on an open nomination process coordinated \nby AMAP. A similar process was used to select international \nexperts who independently reviewed this report.
\nInformation contained in this report is fully references and based on first and foremost peer-reviewed and published results of research and monitoring undertaken since 2006. It also incorporates some new (unpublished) information from monitoring and research conducted according to well-established and documented national and international standards of quality assurance/quality control protocols. Care has been taken to ensure that no critical probability statements are based on non-peer-reviewed materials.
\nAccess to reliable and up-to-date information is essential for \nthe development of science-based decision-making regarding \nongoing changes in the Arctic and their global implications. The \nAOA assessment summary reports and films have therefore \nbeen developed specifically for policy-makers, summarizing the \nmain findings of the AOA assessment. The AOA lead authors \nhave confirmed that both this report and its derivative products \naccurately and fully reflect their scientific assessment. The \nAOA reports and the films are freely available from the AMAP \nSecretariat and on the AMAP website: www.amap.no, and their \nuse for educational purposes is encouraged.
\nAMAP would like to express its appreciation to all experts who \nhave contributed their time, efforts and data, in particular the \nlead authors who coordinated the production of this report. \nThanks are also due to the reviewers who contributed to the \nAOA peer-review process and provided valuable comments \nthat helped to ensure the quality of the report. A list of the \nmain contributors is included at the start of each chapter. The \nlist is not comprehensive. Specifically, it does not include the \nmany national institutes, laboratories and organizations, and \ntheir staff, which have been involved in various countries in \nAOA-related monitoring and research. Apologies, and no lesser \nthanks are given to any individuals unintentionally omitted \nfrom the list.
\nThe support from the Arctic countries and non-Arctic countries implementing research and monitoring in the Arctic is vital to the success of AMAP. The AMAP work is essentially based on ongoing activities within these countries, and the countries that provide the necessary support for most the experts involved in the preparation of the AMAP assessments. In particular, AMAP would like to acknowledge Norway for taking the lead-country role in this assessment and thank Canada, Norway, Sweden, USA and the Nordic Council of Ministers for their financial support to the AOA work.
\nThe AMAP Working Group is pleased to present its assessment \nto the Arctic Council and the international science community.
\nRichard Bellerby (AOA assessment Chair)
\nRussel Shearer (AMAP Chair)
\nLars-Otto Reiersen (AMAP Executive Secretary)
\nOslo, May 2013
","language":"English","publisher":"Arctic Monitoring and Assessment Programme","publisherLocation":"Oslo, Norway","isbn":"978-82-7971-082-0","usgsCitation":"Arctic Monitoring and Assessment Programme, 2013, AMAP Assessment 2013: Arctic Ocean acidification, vii, 99 p.","productDescription":"vii, 99 p.","numberOfPages":"111","ipdsId":"IP-043713","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":294774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291238,"type":{"id":15,"text":"Index Page"},"url":"https://www.amap.no/documents/doc/AMAP-Assessment-2013-Arctic-Ocean-Acidification/881"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e691ee4b092f17df5a703"} ,{"id":70132437,"text":"70132437 - 2013 - Roles of patch characteristics, drought frequency, and restoration in long-term trends of a widespread amphibian","interactions":[],"lastModifiedDate":"2020-12-23T14:42:11.34899","indexId":"70132437","displayToPublicDate":"2013-12-01T09:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Roles of patch characteristics, drought frequency, and restoration in long-term trends of a widespread amphibian","docAbstract":"Despite the high profile of amphibian declines and the increasing threat of drought and fragmentation to aquatic ecosystems, few studies have examined long-term rates of change for a single species across a large geographic area. We analyzed growth in annual egg-mass counts of the Columbia spotted frog (Rana luteiventris) across the northwestern United States, an area encompassing 3 genetic clades. On the basis of data collected by multiple partners from 98 water bodies between 1991 and 2011, we used state-space and linear-regression models to measure effects of patch characteristics, frequency of summer drought, and wetland restoration on population growth. Abundance increased in the 2 clades with greatest decline history, but declined where populations are considered most secure. Population growth was negatively associated with temporary hydroperiods and landscape modification (measured by the human footprint index), but was similar in modified and natural water bodies. The effect of drought was mediated by the size of the water body: populations in large water bodies maintained positive growth despite drought, whereas drought magnified declines in small water bodies. Rapid growth in restored wetlands in areas of historical population declines provided strong evidence of successful management. Our results highlight the importance of maintaining large areas of habitat and underscore the greater vulnerability of small areas of habitat to environmental stochasticity. Similar long-term growth rates in modified and natural water bodies and rapid, positive responses to restoration suggest pond construction and other forms of management can effectively increase population growth. These tools are likely to become increasingly important to mitigate effects of increased drought expected from global climate change.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.12119","usgsCitation":"Hossack, B.R., Adams, M.J., Pearl, C.A., Wilson, K.W., Bull, E.L., Lohr, K., Patla, D., Pilliod, D., Jones, J., Wheeler, K., McKay, S., and Corn, P.S., 2013, Roles of patch characteristics, drought frequency, and restoration in long-term trends of a widespread amphibian: Conservation Biology, v. 27, no. 6, p. 1410-1420, https://doi.org/10.1111/cobi.12119.","productDescription":"11 p.","startPage":"1410","endPage":"1420","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042996","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":381612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-08-23","publicationStatus":"PW","scienceBaseUri":"5465d639e4b04d4b7dbd6674","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522863,"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":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},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":522866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearl, Christopher A. 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":3131,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":522864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Kristine W.","contributorId":127013,"corporation":false,"usgs":false,"family":"Wilson","given":"Kristine","email":"","middleInitial":"W.","affiliations":[{"id":6763,"text":"Utah Division of Wildlife Resources, Salt Lake City, Utah","active":true,"usgs":false}],"preferred":false,"id":807240,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bull, Evelyn L.","contributorId":31104,"corporation":false,"usgs":true,"family":"Bull","given":"Evelyn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":807241,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lohr, Kristin","contributorId":127012,"corporation":false,"usgs":false,"family":"Lohr","given":"Kristin","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":807242,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Patla, Debra","contributorId":127009,"corporation":false,"usgs":false,"family":"Patla","given":"Debra","affiliations":[{"id":6761,"text":"Northern Rockies Conservation Cooperative, Jackson, Wyoming","active":true,"usgs":false}],"preferred":false,"id":807243,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":161,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":522865,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Jason","contributorId":127011,"corporation":false,"usgs":false,"family":"Jones","given":"Jason","email":"","affiliations":[{"id":6763,"text":"Utah Division of Wildlife Resources, Salt Lake City, Utah","active":true,"usgs":false}],"preferred":false,"id":807244,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wheeler, Kevin","contributorId":239996,"corporation":false,"usgs":false,"family":"Wheeler","given":"Kevin","email":"","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":807245,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McKay, Samuel","contributorId":245872,"corporation":false,"usgs":false,"family":"McKay","given":"Samuel","email":"","affiliations":[],"preferred":false,"id":807246,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Corn, P. Stephen 0000-0002-4106-6335 steve_corn@usgs.gov","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":3227,"corporation":false,"usgs":true,"family":"Corn","given":"P.","email":"steve_corn@usgs.gov","middleInitial":"Stephen","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522867,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70047753,"text":"70047753 - 2013 - Data-driven modeling of background and mine-related acidity and metals in river basins","interactions":[],"lastModifiedDate":"2017-05-23T13:32:47","indexId":"70047753","displayToPublicDate":"2013-12-01T09:40:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Data-driven modeling of background and mine-related acidity and metals in river basins","docAbstract":"A novel application of self-organizing map (SOM) and multivariate statistical techniques is used to model the nonlinear interaction among basin mineral-resources, mining activity, and surface-water quality. First, the SOM is trained using sparse measurements from 228 sample sites in the Animas River Basin, Colorado. The model performance is validated by comparing stochastic predictions of basin-alteration assemblages and mining activity at 104 independent sites. The SOM correctly predicts (>98%) the predominant type of basin hydrothermal alteration and presence (or absence) of mining activity. Second, application of the Davies–Bouldin criteria to k-means clustering of SOM neurons identified ten unique environmental groups. Median statistics of these groups define a nonlinear water-quality response along the spatiotemporal hydrothermal alteration-mining gradient. These results reveal that it is possible to differentiate among the continuum between inputs of background and mine-related acidity and metals, and it provides a basis for future research and empirical model development.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2013.09.036","usgsCitation":"Friedel, M.J., 2013, Data-driven modeling of background and mine-related acidity and metals in river basins: Environmental Pollution, v. 184, p. 530-539, https://doi.org/10.1016/j.envpol.2013.09.036.","productDescription":"10 p.","startPage":"530","endPage":"539","ipdsId":"IP-038503","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":341590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"184","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59254a6ee4b0b7ff9fb361b5","contributors":{"authors":[{"text":"Friedel, Michael J","contributorId":119245,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":518130,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70137270,"text":"70137270 - 2013 - Genetic diversity and mutation of avian paramyxovirus serotype 1 (Newcastle disease virus) in wild birds and evidence for intercontinental spread","interactions":[],"lastModifiedDate":"2018-08-16T21:30:19","indexId":"70137270","displayToPublicDate":"2013-12-01T09:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":892,"text":"Archives of Virology","active":true,"publicationSubtype":{"id":10}},"title":"Genetic diversity and mutation of avian paramyxovirus serotype 1 (Newcastle disease virus) in wild birds and evidence for intercontinental spread","docAbstract":"Avian paramyxovirus serotype 1 (APMV-1), or Newcastle disease virus, is the causative agent of Newcastle disease, one of the most economically important diseases for poultry production worldwide and a cause of periodic epizootics in wild birds in North America. In this study, we examined the genetic diversity of APMV-1 isolated from migratory birds sampled in Alaska, Japan, and Russia and assessed the evidence for intercontinental virus spread using phylogenetic methods. Additionally, we predicted viral virulence using deduced amino acid residues for the fusion protein cleavage site and estimated mutation rates for the fusion gene of class I and class II migratory bird isolates. All 73 isolates sequenced as part of this study were most closely related to virus genotypes previously reported for wild birds; however, five class II genotype I isolates formed a monophyletic clade exhibiting previously unreported genetic diversity, which met criteria for the designation of a new sub-genotype. Phylogenetic analysis of wild-bird isolates provided evidence for intercontinental virus spread, specifically viral lineages of APMV-1 class II genotype I sub-genotypes Ib and Ic. This result supports migratory bird movement as a possible mechanism for the redistribution of APMV-1. None of the predicted deduced amino acid motifs for the fusion protein cleavage site of APMV-1 strains isolated from migratory birds in Alaska, Japan, and Russia were consistent with those of previously identified virulent viruses. These data therefore provide no support for these strains contributing to the emergence of avian pathogens. The estimated mutation rates for fusion genes of class I and class II wild-bird isolates were faster than those reported previously for non-virulent APMV-1 strains. Collectively, these findings provide new insight into the diversity, spread, and evolution of APMV-1 in wild birds.
","language":"English","publisher":"International Union of Microbiological Societies","publisherLocation":"Wien","doi":"10.1007/s00705-013-1761-0","usgsCitation":"Ramey, A.M., Reeves, A.B., Ogawa, H., Ip, S., Imai, K., Bui, V.N., Yamaguchi, E., Silko, N.Y., and Afonso, C., 2013, Genetic diversity and mutation of avian paramyxovirus serotype 1 (Newcastle disease virus) in wild birds and evidence for intercontinental spread: Archives of Virology, v. 158, no. 12, p. 2495-2503, https://doi.org/10.1007/s00705-013-1761-0.","productDescription":"9 p.","startPage":"2495","endPage":"2503","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045479","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":297060,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"158","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-27","publicationStatus":"PW","scienceBaseUri":"54dd2ba6e4b08de9379b3457","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ogawa, Haruko","contributorId":138522,"corporation":false,"usgs":false,"family":"Ogawa","given":"Haruko","email":"","affiliations":[],"preferred":false,"id":537830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":537634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Imai, Kunitoshi","contributorId":138523,"corporation":false,"usgs":false,"family":"Imai","given":"Kunitoshi","email":"","affiliations":[],"preferred":false,"id":537831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bui, V. N.","contributorId":138558,"corporation":false,"usgs":false,"family":"Bui","given":"V.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":537832,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yamaguchi, Emi","contributorId":138525,"corporation":false,"usgs":false,"family":"Yamaguchi","given":"Emi","email":"","affiliations":[],"preferred":false,"id":537833,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Silko, N. Y.","contributorId":138559,"corporation":false,"usgs":false,"family":"Silko","given":"N.","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":537834,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Afonso, C.L.","contributorId":42066,"corporation":false,"usgs":true,"family":"Afonso","given":"C.L.","affiliations":[],"preferred":false,"id":537835,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70191673,"text":"70191673 - 2013 - Data management challenges in species distribution modeling","interactions":[],"lastModifiedDate":"2017-10-17T16:48:59","indexId":"70191673","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5516,"text":"Bulletin of the Technical Committee on Data Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Data management challenges in species distribution modeling","docAbstract":"An important component in the fields of ecology and conservation biology is understanding the environmental\nconditions and geographic areas that are suitable for a given species to inhabit. A common tool\nin determining such areas is species distribution modeling which uses computer algorithms to determine\nthe spatial distribution of organisms. Most commonly the correlative relationships between the organism\nand environmental variables are the primary consideration. The data requirements for this type of\nmodeling consist of known presence and possibly absence locations of the species as well as the values\nof environmental or climatic covariates thought to define the species habitat suitability at these locations.\nThese covariate data are generally extracted from remotely sensed imagery, interpolated/gridded\nhistorical climate data, or downscaled climate model output. Traditionally, ecologists and biologists\nhave constructed species distribution models using workflows and data that reside primarily on their\nlocal workstations or networks. This workflow is becoming challenging as scientists increasingly try to\nuse these modeling techniques to inform management decisions under different climate change scenarios.\nThis challenge stems from the fact that remote sensing products, gridded historical climate, and\ndownscaled climate models are not only increasing in spatial and temporal resolution but proliferating\nas well. Any rigorous assessment of uncertainty requires a computationally intensive sensitivity analysis\naccounting for various sources of uncertainty. The scientists fitting these models generally do not have\nthe background in computer science required to take advantage of recent advances in web-service based\ndata acquisition, remote high-powered data processing, or scientific workflow systems. Ecologists in the\nfield of modeling are in need of a tractable platform that abstracts the inherent computational complexity\nrequired to incorporate the burgeoning field of coupled climate and ecological response modeling.\nIn this paper we describe the computational challenges in species distribution modeling and solutions\nusing scientific workflow systems. We focus on the Software for Assisted Species Modeling (SAHM) a\npackage within VisTrails, an open-source scientific workflow system.","language":"English","publisher":"IEEE","usgsCitation":"Talbert, C., Talbert, M., Morisette, J.T., and Koop, D., 2013, Data management challenges in species distribution modeling: Bulletin of the Technical Committee on Data Engineering, v. 36, no. 4, p. 31-40.","productDescription":"10 p.","startPage":"31","endPage":"40","ipdsId":"IP-053026","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346746,"type":{"id":15,"text":"Index Page"},"url":"https://sites.computer.org/debull/A13dec/issue1.htm"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e71695e4b05fe04cd331ed","contributors":{"authors":[{"text":"Talbert, Colin 0000-0002-9505-1876 talbertc@usgs.gov","orcid":"https://orcid.org/0000-0002-9505-1876","contributorId":181913,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":713021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbert, Marian 0000-0003-0588-0265 mtalbert@usgs.gov","orcid":"https://orcid.org/0000-0003-0588-0265","contributorId":196740,"corporation":false,"usgs":true,"family":"Talbert","given":"Marian","email":"mtalbert@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":713022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":713023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koop, David","contributorId":83845,"corporation":false,"usgs":true,"family":"Koop","given":"David","email":"","affiliations":[],"preferred":false,"id":713024,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156252,"text":"70156252 - 2013 - Protocol for monitoring forest-nesting birds in National Park Service parks","interactions":[],"lastModifiedDate":"2016-09-08T14:38:10","indexId":"70156252","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"NPS/NCRN/NRR—2014/749","title":"Protocol for monitoring forest-nesting birds in National Park Service parks","docAbstract":"These documents detail the protocol for monitoring forest-nesting birds in National Park Service parks in the National Capital Region Network (NCRN). In the first year of sampling, counts of birds should be made at 384 points on the NCRN spatially randomized grid, developed to sample terrestrial resources. Sampling should begin on or about May 20 and continue into early July; on each day the sampling period begins at sunrise and ends five hours later. Each point should be counted twice, once in the first half of the field season and once in the second half, with visits made by different observers, balancing the within-season coverage of points and their spatial coverage by observers, and allowing observer differences to be tested. Three observers, skilled in identifying birds of the region by sight and sound and with previous experience in conducting timed counts of birds, will be needed for this effort. Observers should be randomly assigned to ‘routes’ consisting of eight points, in close proximity and, ideally, in similar habitat, that can be covered in one morning. Counts are 10 minutes in length, subdivided into four 2.5-min intervals. Within each time interval, new birds (i.e., those not already detected) are recorded as within or beyond 50 m of the point, based on where first detected. Binomial distance methods are used to calculate annual estimates of density for species. The data are also amenable to estimation of abundance and detection probability via the removal method. Generalized linear models can be used to assess between-year changes in density estimates or unadjusted count data. This level of sampling is expected to be sufficient to detect a 50% decline in 10 years for approximately 50 bird species, including 14 of 19 species that are priorities for conservation efforts, if analyses are based on unadjusted count data, and for 30 species (6 priority species) if analyses are based on density estimates. The estimates of required sample sizes are based on the mean number of individuals detected per 10 minutes in available data from surveys in three NCRN parks. Once network-wide data from the first year of sampling are available, this and other aspects of the protocol should be re-assessed, and changes made as desired or necessary before the start of the second field season. Thereafter, changes should not be made to the field methods, and sampling should be conducted annually for at least ten years. NCRN staff should keep apprised of new analytical methods developed for analysis of point-count data.
","language":"English","publisher":"National Park Service","collaboration":"Murray G. Efford","usgsCitation":"Dawson, D.K., and Efford, M.G., 2013, Protocol for monitoring forest-nesting birds in National Park Service parks, xi, 50 p. .","productDescription":"xi, 50 p. ","ipdsId":"IP-066816","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":306801,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2206488/"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28baee4b0571647d0f93f","contributors":{"authors":[{"text":"Dawson, Deanna K. ddawson@usgs.gov","contributorId":1257,"corporation":false,"usgs":true,"family":"Dawson","given":"Deanna","email":"ddawson@usgs.gov","middleInitial":"K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":568250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Efford, Murray G.","contributorId":91616,"corporation":false,"usgs":true,"family":"Efford","given":"Murray","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":568251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148143,"text":"70148143 - 2013 - Estimating reef fish discard mortality using surface and bottom tagging: effects of hook injury and barotrauma","interactions":[],"lastModifiedDate":"2015-05-27T13:54:35","indexId":"70148143","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Estimating reef fish discard mortality using surface and bottom tagging: effects of hook injury and barotrauma","docAbstract":"We estimated survival rates of discarded black sea bass (Centropristis striata) in various release conditions using tag–recapture data. Fish were captured with traps and hook and line from waters 29–34 m deep off coastal North Carolina, USA, marked with internal anchor tags, and observed for release condition. Fish tagged on the bottom using SCUBA served as a control group. Relative return rates for trap-caught fish released at the surface versus bottom provided an estimated survival rate of 0.87 (95% credible interval 0.67–1.18) for surface-released fish. Adjusted for results from the underwater tagging experiment, fish with evidence of external barotrauma had a median survival rate of 0.91 (0.69–1.26) compared with 0.36 (0.17–0.67) for fish with hook trauma and 0.16 (0.08–0.30) for floating or presumably dead fish. Applying these condition-specific estimates of survival to non-tagging fishery data, we estimated a discard survival rate of 0.81 (0.62–1.11) for 11 hook and line data sets from waters 20–35 m deep and 0.86 (0.67–1.17) for 10 trap data sets from waters 11–29 m deep. The tag-return approach using a control group with no fishery-associated trauma represents a method to accurately estimate absolute discard survival of physoclistous reef species.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0337","usgsCitation":"Rudershausen, P.J., Buckel, J.A., and Hightower, J.E., 2013, Estimating reef fish discard mortality using surface and bottom tagging: effects of hook injury and barotrauma: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 4, p. 514-520, https://doi.org/10.1139/cjfas-2013-0337.","productDescription":"7 p.","startPage":"514","endPage":"520","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050975","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Onslow Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.969970703125,\n 33.84532650276791\n ],\n [\n -77.991943359375,\n 33.77458136371689\n ],\n [\n -77.90130615234375,\n 33.77229828866843\n ],\n [\n -77.7447509765625,\n 33.747180448149855\n ],\n [\n -77.63763427734375,\n 34.02534773814796\n ],\n [\n -77.51953125,\n 34.19362958613087\n ],\n [\n -77.36572265625,\n 34.29126107845569\n ],\n [\n -77.14874267578124,\n 34.40237742424137\n ],\n [\n -76.98394775390625,\n 34.4793919710481\n ],\n [\n -76.77520751953125,\n 34.49523909266902\n ],\n [\n -76.640625,\n 34.384246040152206\n ],\n [\n -76.387939453125,\n 34.39331222316112\n ],\n [\n -76.3165283203125,\n 34.48392002731984\n ],\n [\n -76.28082275390625,\n 34.57216798051356\n ],\n [\n -76.23687744140625,\n 34.642247047768535\n ],\n [\n -76.4483642578125,\n 34.820567967282706\n ],\n [\n -76.5252685546875,\n 34.72129745316466\n ],\n [\n -76.58843994140625,\n 34.69646117272349\n ],\n [\n -76.7559814453125,\n 34.728069689872285\n ],\n [\n -76.9482421875,\n 34.71903991764788\n ],\n [\n -77.18719482421874,\n 34.65806316573296\n ],\n [\n -77.33001708984375,\n 34.54728700119802\n ],\n [\n -77.53326416015625,\n 34.459012676670085\n ],\n [\n -77.71728515624999,\n 34.30033731925641\n ],\n [\n -77.84637451171875,\n 34.15954545771158\n ],\n [\n -77.92877197265625,\n 33.959308210392024\n ],\n [\n -77.969970703125,\n 33.84532650276791\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"71","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566eac4e4b0d9246a9ec2dc","contributors":{"authors":[{"text":"Rudershausen, Paul J.","contributorId":43669,"corporation":false,"usgs":true,"family":"Rudershausen","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":547777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buckel, Jeffrey A.","contributorId":28500,"corporation":false,"usgs":true,"family":"Buckel","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":547778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187704,"text":"70187704 - 2013 - An approach for characterizing the distribution of shrubland ecosystem components as continuous fields as part of NLCD","interactions":[],"lastModifiedDate":"2018-03-08T13:04:32","indexId":"70187704","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"An approach for characterizing the distribution of shrubland ecosystem components as continuous fields as part of NLCD","docAbstract":"Characterizing and quantifying distributions of shrubland ecosystem components is one of the major challenges for monitoring shrubland vegetation cover change across the United States. A new approach has been developed to quantify shrubland components as fractional products within National Land Cover Database (NLCD). This approach uses remote sensing data and regression tree models to estimate the fractional cover of shrubland ecosystem components. The approach consists of three major steps: field data collection, high resolution estimates of shrubland ecosystem components using WorldView-2 imagery, and coarse resolution estimates of these components across larger areas using Landsat imagery. This research seeks to explore this method to quantify shrubland ecosystem components as continuous fields in regions that contain wide-ranging shrubland ecosystems. Fractional cover of four shrubland ecosystem components, including bare ground, herbaceous, litter, and shrub, as well as shrub heights, were delineated in three ecological regions in Arizona, Florida, and Texas. Results show that estimates for most components have relatively small normalized root mean square errors and significant correlations with validation data in both Arizona and Texas. The distribution patterns of shrub height also show relatively high accuracies in these two areas. The fractional cover estimates of shrubland components, except for litter, are not well represented in the Florida site. The research results suggest that this method provides good potential to effectively characterize shrubland ecosystem conditions over perennial shrubland although it is less effective in transitional shrubland. The fractional cover of shrub components as continuous elements could offer valuable information to quantify biomass and help improve thematic land cover classification in arid and semiarid areas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2013.09.009","usgsCitation":"Xian, G.Z., Homer, C.G., Meyer, D., and Granneman, B.J., 2013, An approach for characterizing the distribution of shrubland ecosystem components as continuous fields as part of NLCD: ISPRS Journal of Photogrammetry and Remote Sensing, v. 86, p. 136-149, https://doi.org/10.1016/j.isprsjprs.2013.09.009.","productDescription":"14 p.","startPage":"136","endPage":"149","ipdsId":"IP-046020","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Florida, Texas","volume":"86","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591abe39e4b0a7fdb43c8c01","contributors":{"authors":[{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":695183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","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":695182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Debbie 0000-0002-8841-697X debbie.meyer.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-8841-697X","contributorId":192028,"corporation":false,"usgs":true,"family":"Meyer","given":"Debbie","email":"debbie.meyer.ctr@usgs.gov","affiliations":[],"preferred":false,"id":695180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Granneman, Brian J. 0000-0002-1910-0955 grann@usgs.gov","orcid":"https://orcid.org/0000-0002-1910-0955","contributorId":4209,"corporation":false,"usgs":true,"family":"Granneman","given":"Brian","email":"grann@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695181,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191975,"text":"70191975 - 2013 - Developing an outcome-based biodiversity metric in support of the field to market project: Final report","interactions":[],"lastModifiedDate":"2018-12-20T11:55:36","indexId":"70191975","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5602,"text":"Technical Bulletin","active":true,"publicationSubtype":{"id":9}},"seriesNumber":"334","title":"Developing an outcome-based biodiversity metric in support of the field to market project: Final report","docAbstract":"Our objective was to create a metric that would calculate the relative impact of common commercial agricultural practices on terrestrial vertebrate richness. We sought to define impacts in fields (including field borders) of the southeastern region’s commercial production of corn, wheat, soy, and cotton. The metric is intended to serve as an educational tool, allowing producers to see how operational decisions made at the field level impact overall vertebrate species richness and to explore decision impacts to targeted species groups (e.g. game, pest, or beneficial species).
Agricultural landscapes are often mistakenly thought to be unsuitable habitat for most species. However, as demonstrated by results reported here, even large-scale, conventional agricultural producers are potentially important partners in biodiversity conservation. Many vertebrate species do inhabit agricultural landscapes, benefitting from the provision of water, food, or shelter within cultivated fields and their immediate borders (e.g., Holland et al. 2012). In the Southeastern US, of the 613 terrestrial vertebrate species modeled by the Southeast Gap Analysis Program (SEGAP) (http://www.basic.ncsu.edu/segap/index.html), 263 utilize row crop and associated agricultural land cover classes as potential habitat (Box 1). While some species may be sensitive to certain operational practices (e.g., tillage, pest management, or field border management practices), others are generally tolerant, and some may benefit either directly or indirectly. For example, field margins and ditches often serve as semi-natural habitats providing foraging resources and shelter for vertebrates and are shown to positively influence species richness and abundance (Billeter et al. 2007; Herzon & Helenius 2008; Marshall & Moonen 2002; Shore et al. 2005; Weibull et al. 2003; Wuczyńskia et al. 2011). Biodiversity responses are, therefore, complex, as an individual species’ responses to agricultural production practices depends on that animal’s resource specialization, mobility, and life history strategies (Jeanneret et al. 2003a, b; Jennings & Pocock 2009).
The knowledge necessary to define the biodiversity contribution of agricultural lands is specialized, dispersed, and nuanced, and thus not readily accessible. Given access to clearly defined biodiversity tradeoffs between alternative agricultural practices, landowners, land managers and farm operators could collectively enhance the conservation and economic value of agricultural landscapes. Therefore, Field to Market: The Keystone Alliance for Sustainable Agriculture and The Nature Conservancy jointly funded a pilot project to develop a biodiversity metric to integrate into Field to Market’s existing sustainability calculator, The Fieldprint Calculator (http://www. fieldtomarket.org/). Field to Market: The Keystone Alliance for Sustainable Agriculture is an alliance among producers, agribusinesses, food companies, and conservation organizations seeking to create sustainable outcomes for agriculture. The Fieldprint Calculator supports the Keystone Alliance’s vision to achieve safe, accessible, and nutritious food, fiber and fuel in thriving ecosystems to meet the needs of 9 billion people in 2050. In support of this same vision, our project provides proof-of-concept for an outcome-based biodiversity metric for Field to Market to quantify biodiversity impacts of commercial row crop production on terrestrial vertebrate richness.
Little research exists examining the impacts of alternative commercial agricultural practices on overall terrestrial biodiversity (McLaughlin & Mineau 1995). Instead, most studies compare organic versus conventional practices (e.g. Freemark & Kirk 2001; Wickramasinghe et al. 2004), and most studies focus on flora, avian, or invertebrate communities (Jeanneret et al. 2003a; Maes et al. 2008; Pollard & Relton 1970). Therefore, we used an expert-knowledge-based approach to develop a metric that predicts expected impacts to shelter and forage resources, individual species, and overall biodiversity (species richness). This approach is modeled after an ecosystems services concept (WRI 2005), except that we examine services (i.e., resources) provided to vertebrate wildlife rather than service provided to the human population. SEGAP predicts species that are potentially present in an area given landscape-scale habitat availability, configuration, and context (e.g., patch size, proximity to resources, connectivity, potential for disturbance). Based on the prediction of species that may be potentially present, the impacts of management decisions within fields and around their borders can be analyzed based on the impact of those practices to the availability of species’ resources. The final metric provides an index of a producer’s relative impact, but perhaps even more importantly, the underlying database allows producers to explore details such as which species are most impacted or how alternative decisions would impact their score.
","language":"English","publisher":"North Carolina Agricultral Research Service, College of Agriculture and Life Sciences, North Carolina State University","usgsCitation":"Drew, C.A., Alexander-Vaughn, L.B., Collazo, J., McKerrow, A., and Anderson, J., 2013, Developing an outcome-based biodiversity metric in support of the field to market project: Final report: Technical Bulletin 334, 28 p.","productDescription":"28 p.","ipdsId":"IP-046155","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":350596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350595,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.basic.ncsu.edu/eda/downloads/BiodiversityReport_Text.pdf"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac9e4b06e28e9c9a91e","contributors":{"authors":[{"text":"Drew, C. Ashton","contributorId":140953,"corporation":false,"usgs":false,"family":"Drew","given":"C.","email":"","middleInitial":"Ashton","affiliations":[],"preferred":false,"id":725790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander-Vaughn, Louise B.","contributorId":199257,"corporation":false,"usgs":false,"family":"Alexander-Vaughn","given":"Louise","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":725791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":713802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":725792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, John","contributorId":8763,"corporation":false,"usgs":true,"family":"Anderson","given":"John","affiliations":[],"preferred":false,"id":725793,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70171525,"text":"70171525 - 2013 - Effect of land cover and use on dry season river runoff, runoff efficiency, and peak storm runoff in the seasonal tropics of Central Panama","interactions":[],"lastModifiedDate":"2016-06-02T09:54:21","indexId":"70171525","displayToPublicDate":"2013-12-01T00:00:00","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":"Effect of land cover and use on dry season river runoff, runoff efficiency, and peak storm runoff in the seasonal tropics of Central Panama","docAbstract":"A paired catchment methodology was used with more than 3 years of data to test whether forests increase base flow in the dry season, despite reduced annual runoff caused by evapotranspiration (the “sponge-effect hypothesis”), and whether forests reduce maximum runoff rates and totals during storms. The three study catchments were: a 142.3 ha old secondary forest, a 175.6 ha mosaic of mixed age forest, pasture, and subsistence agriculture, and a 35.9 ha actively grazed pasture subcatchment of the mosaic catchment. The two larger catchments are adjacent, with similar morphology, soils, underlying geology, and rainfall. Annual water balances, peak runoff rates, runoff efficiencies, and dry season recessions show significant differences. Dry season runoff from the forested catchment receded more slowly than from the mosaic and pasture catchments. The runoff rate from the forest catchment was 1–50% greater than that from the similarly sized mosaic catchment at the end of the dry season. This observation supports the sponge-effect hypothesis. The pasture and mosaic catchment median runoff efficiencies were 2.7 and 1.8 times that of the forest catchment, respectively, and increased with total storm rainfall. Peak runoff rates from the pasture and mosaic catchments were 1.7 and 1.4 times those of the forest catchment, respectively. The forest catchment produced 35% less total runoff and smaller peak runoff rates during the flood of record in the Panama Canal Watershed. Flood peak reduction and increased streamflows through dry periods are important benefits relevant to watershed management, payment for ecosystem services, water-quality management, reservoir sedimentation, and fresh water security in the Panama Canal watershed and similar tropical landscapes.
","language":"English","publisher":"Wiley","doi":"10.1002/2013WR013956","usgsCitation":"Ogden, F.L., Crouch, T.D., Stallard, R.F., and Hall, J.S., 2013, Effect of land cover and use on dry season river runoff, runoff efficiency, and peak storm runoff in the seasonal tropics of Central Panama: Water Resources Research, v. 49, no. 12, p. 8443-8462, https://doi.org/10.1002/2013WR013956.","productDescription":"20 p.","startPage":"8443","endPage":"8462","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045298","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473428,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr013956","text":"Publisher Index Page"},{"id":322082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.15625,\n 8.635334050763124\n ],\n [\n -80.15625,\n 9.546583349757574\n ],\n [\n -79.310302734375,\n 9.546583349757574\n ],\n [\n -79.310302734375,\n 8.635334050763124\n ],\n [\n -80.15625,\n 8.635334050763124\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-17","publicationStatus":"PW","scienceBaseUri":"575158b0e4b053f0edd03c38","contributors":{"authors":[{"text":"Ogden, Fred L.","contributorId":169952,"corporation":false,"usgs":false,"family":"Ogden","given":"Fred","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crouch, Trey D.","contributorId":169953,"corporation":false,"usgs":false,"family":"Crouch","given":"Trey","email":"","middleInitial":"D.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, Jefferson S.","contributorId":169939,"corporation":false,"usgs":false,"family":"Hall","given":"Jefferson","email":"","middleInitial":"S.","affiliations":[{"id":25632,"text":"Smithsonian Tropical Research Institute, Balboa, Panama","active":true,"usgs":false}],"preferred":false,"id":631598,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173504,"text":"70173504 - 2013 - Evidence of Hybridization between Common Gartersnakes (Thamnophis sirtalis) and Butler’s Gartersnakes (Thamnophis butleri) in Wisconsin (USA).","interactions":[],"lastModifiedDate":"2016-06-16T16:43:33","indexId":"70173504","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of Hybridization between Common Gartersnakes (Thamnophis sirtalis) and Butler’s Gartersnakes (Thamnophis butleri) in Wisconsin (USA).","docAbstract":"Snakes within the genus Thamnophis (Gartersnakes and Ribbonsnakes) are often found in sympatry throughout their geographic distributions. Past work has indicated that some sympatric species within this genus may hybridize, but research of this nature is limited. We attempted to determine whether hybridization occurs between two Thamnophis species native to the upper midwestern United States: Common Gartersnake (Thamnophis sirtalis) and the Butler's Gartersnake (Thamnophis butleri). We sampled snakes (n = 411) across 26 locations in Wisconsin, including sites where both species coexist and sites where only Common Gartersnakes are found. We conducted genetic analyses on tissue collected from individuals field-identified as Common Gartersnakes or Butler's Gartersnakes. To verify the results of our field-collected data, we analyzed tissues from juvenile snakes (n = 4) suspected to be the offspring of a Common Gartersnake and a Butler's Gartersnake that were housed together in a captive situation. Of the field-collected snakes analyzed, eight snakes were consistent with expected Common × Butler's Gartersnake hybrids. All four of the captive offspring analyzed resolved as putative hybrids, corresponding with our field-collected samples. Butler's Gartersnake is a globally rare species, endemic only to the upper midwestern United States. Studies involving the potential for hybridization between common and uncommon species are useful from a conservation perspective. The low incidence of hybridization we observed would indicate that hybridization between these species is uncommon. Further research investigating rates of hybridization would help assess any potential threat posed by outbreeding between common and rare gartersnakes in this region of the United States.
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Schuurman","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":637213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paloski, Rori A.","contributorId":171368,"corporation":false,"usgs":false,"family":"Paloski","given":"Rori","email":"","middleInitial":"A.","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":637216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jeffrey M. Lorch","contributorId":150036,"corporation":false,"usgs":false,"family":"Jeffrey M. Lorch","affiliations":[{"id":17895,"text":"University of Wisconsin-Madison, School of Veterinary Medicine, 2015 Linden Drive, Madison, Wisconsin 53706, USA","active":true,"usgs":false}],"preferred":false,"id":637214,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70133831,"text":"70133831 - 2013 - The suitability of a simplified isotope-balance approach to quantify transient groundwater-lake interactions over a decade with climatic extremes","interactions":[],"lastModifiedDate":"2014-12-12T15:09:29","indexId":"70133831","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The suitability of a simplified isotope-balance approach to quantify transient groundwater-lake interactions over a decade with climatic extremes","docAbstract":"Groundwater inflow to a subtropical seepage lake was estimated using a transient isotope-balance approach for a decade (2001–2011) with wet and dry climatic extremes. Lake water δ18O ranged from +0.80 to +3.48 ‰, reflecting the 4 m range in stage. The transient δ18O analysis discerned large differences in semiannual groundwater inflow, and the overall patterns of low and high groundwater inflow were consistent with an independent water budget. Despite simplifying assumptions that the isotopic composition of precipitation (δP), groundwater inflow, and atmospheric moisture (δA) were constant, groundwater inflow was within the water-budget error for 12 of the 19 semiannual calculation periods. The magnitude of inflow was over or under predicted during periods of climatic extreme. During periods of high net precipitation from tropical cyclones and El Niño conditions, δP values were considerably more depleted in 18O than assumed. During an extreme dry period, δA values were likely more enriched in 18O than assumed due to the influence of local lake evaporate. Isotope balance results were most sensitive to uncertainties in relative humidity, evaporation, and δ18O of lake water, which can limit precise quantification of groundwater inflow. Nonetheless, the consistency between isotope-balance and water-budget results indicates that this is a viable approach for lakes in similar settings, allowing the magnitude of groundwater inflow to be estimated over less-than-annual time periods. Because lake-water δ18O is a good indicator of climatic conditions, these data could be useful in ground-truthing paleoclimatic reconstructions using isotopic data from lake cores in similar settings.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.12.012","usgsCitation":"Sacks, L.A., Lee, T.M., and Swancar, A., 2013, The suitability of a simplified isotope-balance approach to quantify transient groundwater-lake interactions over a decade with climatic extremes: Journal of Hydrology, v. 519, no. Part D, p. 3042-3053, https://doi.org/10.1016/j.jhydrol.2013.12.012.","productDescription":"12 p.","startPage":"3042","endPage":"3053","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038316","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":473426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2013.12.012","text":"Publisher Index Page"},{"id":296203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Starr","volume":"519","issue":"Part D","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546dbf2de4b0fc7976bf1e64","contributors":{"authors":[{"text":"Sacks, Laura A.","contributorId":19134,"corporation":false,"usgs":true,"family":"Sacks","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":525453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Terrie M. tmlee@usgs.gov","contributorId":2461,"corporation":false,"usgs":true,"family":"Lee","given":"Terrie","email":"tmlee@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":525452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":450,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":525451,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176596,"text":"70176596 - 2013 - Net primary productivity of subalpine meadows in Yosemite National Park in relation to climate variability","interactions":[],"lastModifiedDate":"2017-05-03T13:09:25","indexId":"70176596","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Net primary productivity of subalpine meadows in Yosemite National Park in relation to climate variability","docAbstract":"Subalpine meadows are some of the most ecologically important components of mountain landscapes, and primary productivity is important to the maintenance of meadow functions. Understanding how changes in primary productivity are associated with variability in moisture and temperature will become increasingly important with current and anticipated changes in climate. Our objective was to describe patterns and variability in aboveground live vascular plant biomass in relation to climatic factors. We harvested aboveground biomass at peak growth from four 64-m2 plots each in xeric, mesic, and hydric meadows annually from 1994 to 2000. Data from nearby weather stations provided independent variables of spring snow water content, snow-free date, and thawing degree days for a cumulative index of available energy. We assembled these climatic variables into a set of mixed effects analysis of covariance models to evaluate their relationships with annual aboveground net primary productivity (ANPP), and we used an information theoretic approach to compare the quality of fit among candidate models. ANPP in the xeric meadow was negatively related to snow water content and thawing degree days and in the mesic meadow was negatively related to snow water content. Relationships between ANPP and these 2 covariates in the hydric meadow were not significant. Increasing snow water content may limit ANPP in these meadows if anaerobic conditions delay microbial activity and nutrient availability. Increased thawing degree days may limit ANPP in xeric meadows by prematurely depleting soil moisture. Large within-year variation of ANPP in the hydric meadow limited sensitivity to the climatic variables. These relationships suggest that, under projected warmer and drier conditions, ANPP will increase in mesic meadows but remain unchanged in xeric meadows because declines associated with increased temperatures would offset the increases from decreased snow water content.
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.073.0410","usgsCitation":"Moore, P.E., Van Wagtendonk, J.W., Yee, J.L., McClaran, M.P., Cole, D.N., McDougald, N.K., and Brooks, M.L., 2013, Net primary productivity of subalpine meadows in Yosemite National Park in relation to climate variability: Western North American Naturalist, v. 73, no. 4, p. 409-418, https://doi.org/10.3398/064.073.0410.","productDescription":"10 p.","startPage":"409","endPage":"418","ipdsId":"IP-042537","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488520,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol73/iss4/2","text":"External Repository"},{"id":328860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f1a9e4b0bc0bec09feea","contributors":{"authors":[{"text":"Moore, Peggy E. 0000-0002-8481-2617 peggy_moore@usgs.gov","orcid":"https://orcid.org/0000-0002-8481-2617","contributorId":3365,"corporation":false,"usgs":true,"family":"Moore","given":"Peggy","email":"peggy_moore@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Wagtendonk, Jan W. jan_van_wagtendonk@usgs.gov","contributorId":2648,"corporation":false,"usgs":true,"family":"Van Wagtendonk","given":"Jan","email":"jan_van_wagtendonk@usgs.gov","middleInitial":"W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClaran, Mitchel P.","contributorId":15453,"corporation":false,"usgs":true,"family":"McClaran","given":"Mitchel","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":649325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cole, David N.","contributorId":40086,"corporation":false,"usgs":true,"family":"Cole","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":649326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDougald, Neil K.","contributorId":139339,"corporation":false,"usgs":false,"family":"McDougald","given":"Neil","email":"","middleInitial":"K.","affiliations":[{"id":12739,"text":"UC Cooperative Extension, Madera, CA","active":true,"usgs":false}],"preferred":false,"id":649327,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649328,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188341,"text":"70188341 - 2013 - Next generation of global land cover characterization, mapping, and monitoring","interactions":[],"lastModifiedDate":"2017-06-06T14:38:04","indexId":"70188341","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Next generation of global land cover characterization, mapping, and monitoring","docAbstract":"Land cover change is increasingly affecting the biophysics, biogeochemistry, and biogeography of the Earth's surface and the atmosphere, with far-reaching consequences to human well-being. However, our scientific understanding of the distribution and dynamics of land cover and land cover change (LCLCC) is limited. Previous global land cover assessments performed using coarse spatial resolution (300 m–1 km) satellite data did not provide enough thematic detail or change information for global change studies and for resource management. High resolution (∼30 m) land cover characterization and monitoring is needed that permits detection of land change at the scale of most human activity and offers the increased flexibility of environmental model parameterization needed for global change studies. However, there are a number of challenges to overcome before producing such data sets including unavailability of consistent global coverage of satellite data, sheer volume of data, unavailability of timely and accurate training and validation data, difficulties in preparing image mosaics, and high performance computing requirements. Integration of remote sensing and information technology is needed for process automation and high-performance computing needs. Recent developments in these areas have created an opportunity for operational high resolution land cover mapping, and monitoring of the world. Here, we report and discuss these advancements and opportunities in producing the next generations of global land cover characterization, mapping, and monitoring at 30-m spatial resolution primarily in the context of United States, Group on Earth Observations Global 30 m land cover initiative (UGLC).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2013.03.005","usgsCitation":"Giri, C., Pengra, B., Long, J., and Loveland, T.R., 2013, Next generation of global land cover characterization, mapping, and monitoring: International Journal of Applied Earth Observation and Geoinformation, v. 25, p. 30-37, https://doi.org/10.1016/j.jag.2013.03.005.","productDescription":"8 p.","startPage":"30","endPage":"37","ipdsId":"IP-044790","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":342164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5937bf2fe4b0f6c2d0d9c789","contributors":{"authors":[{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":189128,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pengra, Bruce 0000-0003-2497-8284 bpengra@usgs.gov","orcid":"https://orcid.org/0000-0003-2497-8284","contributorId":5132,"corporation":false,"usgs":true,"family":"Pengra","given":"Bruce","email":"bpengra@usgs.gov","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":697327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, J.","contributorId":41993,"corporation":false,"usgs":true,"family":"Long","given":"J.","affiliations":[],"preferred":false,"id":697328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140256,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":697329,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70057785,"text":"ofr20131278 - 2013 - Hydrologic monitoring and selected hydrologic and environmental studies by the U.S. Geological Survey in Georgia, 2011–2013","interactions":[],"lastModifiedDate":"2016-12-08T16:45:04","indexId":"ofr20131278","displayToPublicDate":"2013-11-27T11:11:04","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":"2013-1278","title":"Hydrologic monitoring and selected hydrologic and environmental studies by the U.S. Geological Survey in Georgia, 2011–2013","docAbstract":"This compendium of papers describes results of hydrologic monitoring and hydrologic and environmental studies completed by the U.S. Geological Survey (USGS) in Georgia during 2011–2013. The USGS addresses a wide variety of water issues in the State of Georgia working with local, State, and Federal partners. As the primary Federal science agency for water resource information, the USGS monitors the quantity and quality of water in the Nation’s rivers and aquifers, assesses the sources and fate of contaminants in aquatic systems, collects and analyzes data on aquatic ecosystems, develops tools to improve the application of hydrologic information, and ensures that its information and tools are available to all potential users. During 2011–2013, the USGS continued a long-term program of monitoring stream and groundwater resources, including flow, water quality, and water use. In addition, a variety of hydrologic and environmental studies were completed to assess water availability, hydrologic hazards, and the impact of development on water resources. Information on USGS activities in Georgia is available online at http://ga.water.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131278","usgsCitation":"Clarke, J.S., and Dalton, M., 2013, Hydrologic monitoring and selected hydrologic and environmental studies by the U.S. Geological Survey in Georgia, 2011–2013: U.S. Geological Survey Open-File Report 2013-1278, v, 73 p., https://doi.org/10.3133/ofr20131278.","productDescription":"v, 73 p.","numberOfPages":"84","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":279865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131278.jpg"},{"id":279864,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1278/pdf/of2013-1278.pdf"},{"id":279863,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1278/"}],"scale":"150000","country":"United States","state":"Georgia","otherGeospatial":"Savannah River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.25,32 ], [ -81.25,32.3 ], [ -80.833,32.3 ], [ -80.833,32 ], [ -81.25,32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529716d5e4b08e44bf66fb80","contributors":{"authors":[{"text":"Clarke, John S. jsclarke@usgs.gov","contributorId":400,"corporation":false,"usgs":true,"family":"Clarke","given":"John","email":"jsclarke@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalton, Melinda J. (compiler)","contributorId":38460,"corporation":false,"usgs":true,"family":"Dalton","given":"Melinda J.","suffix":"(compiler)","affiliations":[],"preferred":false,"id":486872,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048377,"text":"sim3269 - 2013 - Flood-inundation maps for the Elkhart River at Goshen, Indiana","interactions":[],"lastModifiedDate":"2013-11-27T11:05:42","indexId":"sim3269","displayToPublicDate":"2013-11-27T10:43:47","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3269","title":"Flood-inundation maps for the Elkhart River at Goshen, Indiana","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Indiana Office of Community and Rural Affairs, created digital flood-inundation maps for an 8.3-mile reach of the Elkhart River at Goshen, Indiana, extending from downstream of the Goshen Dam to downstream from County Road 17. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to nine selected water levels (stages) at the USGS streamgage at Elkhart River at Goshen (station number 04100500). Current conditions for the USGS streamgages in Indiana may be obtained on the Internet at http://waterdata.usgs.gov/. In addition, stream stage data have been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that are often colocated with USGS streamgages. NWS-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relation at the Elkhart River at Goshen streamgage. The hydraulic model was then used to compute nine water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from approximately bankfull (5 ft) to greater than the highest recorded water level (13 ft). The simulated water-surface profiles were then combined with a geographic information system (GIS) digital-elevation model (DEM), derived from Light Detection and Ranging (LiDAR) data having a 0.37-ft vertical accuracy and 3.9-ft horizontal resolution in order to delineate the area flooded at each water level. The availability of these maps, along with Internet information regarding current stage from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for postflood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3269","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Strauch, K.R., 2013, Flood-inundation maps for the Elkhart River at Goshen, Indiana: U.S. Geological Survey Scientific Investigations Map 3269, Pamphlet: vi, 7 p.; Map sheets JPEG and PDF; Downloads Directory, https://doi.org/10.3133/sim3269.","productDescription":"Pamphlet: vi, 7 p.; Map sheets JPEG and PDF; Downloads Directory","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042153","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":279862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3269.jpg"},{"id":279860,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3269/downloads/mapsheets/pdf/"},{"id":279861,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3269/downloads/"},{"id":279859,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3269/pdf/sim3269-pamphlet.pdf"},{"id":279314,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3269/"}],"projection":"Indiana State Plane Eastern Zone","datum":"North American Datum of 1983","country":"United States","state":"Indiana","otherGeospatial":"Elkhart River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.9,41.5583 ], [ -85.9,41.625 ], [ -85.83,41.625 ], [ -85.83,41.5583 ], [ -85.9,41.5583 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529716b9e4b08e44bf66fb7d","contributors":{"authors":[{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484482,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048921,"text":"ds797 - 2013 - Occurrence of fungicides and other pesticides in surface water, groundwater, and sediment from three targeted-use areas in the United States, 2009","interactions":[],"lastModifiedDate":"2015-06-04T11:37:06","indexId":"ds797","displayToPublicDate":"2013-11-26T14:30:00","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":"797","title":"Occurrence of fungicides and other pesticides in surface water, groundwater, and sediment from three targeted-use areas in the United States, 2009","docAbstract":"Surface-water, groundwater, and suspended- and bedsediment samples were collected in three targeted-use areas in the United States where potatoes were grown during 2009 and analyzed for an extensive suite of fungicides and other pesticides by gas chromatograph/mass spectrometry and liquid chromatography with tandem mass spectrometry. Fungicides were detected in all environmental matrices sampled during the study. The most frequently detected fungicides were azoxystrobin, boscalid, chlorothalonil, and pyraclostrobin. Other pesticides that were detected frequently included amino phosphonic acid (AMPA), atrazine, metolaclor, and the organochlorine insecticide p,p’-DDT and its degradates p,p’-DDD and p,p’-DDE. A greater number of pesticides were detected in surface water relative to the other environmental matrices sampled, and at least one pesticide was detected in 62 of the 63 surfacewater samples. The greatest numbers of pesticides and the maximum observed concentrations for most pesticides were measured in surface-water samples from Idaho. In eight surface- water samples (six from Idaho and two from Wisconsin), concentrations of bifenthrin, metolachlor, or malathion exceeded U.S. Environmental Protection Agency freshwater aquatic-life benchmarks for chronic toxicity to invertebrates. Thirteen pesticides, including seven fungicides, were detected in groundwater samples. Shallow groundwater samples collected beneath recently harvested potato fields contained more pesticides and had higher concentrations of pesticides than samples collected from other groundwater sources sampled during the study. Generally, pesticide concentrations were lower in groundwater samples than in surfacewater or sediment samples, with the exception of the fungicide boscalid, which was found to have its highest concentration in a shallow groundwater sample collected in Wisconsin. Thirteen pesticides, including four fungicides, were detected in suspended-sediment samples. The most frequently detected compounds were the fungicides boscalid, pyraclostrobin, and zoxamide, and the degradates p,p’-DDD and p,p’-DDE. Twenty pesticides, including six fungicides, were detected in bed-sediment samples. The most frequently detected compounds were pyraclostrobin, p,p’-DDT, p,p’-DDD, and p,p’-DDE.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds797","issn":"2327-698X","usgsCitation":"Orlando, J., Smalling, K., Reilly, T.J., Boehlke, A., Meyer, M.T., and Kuivila, K., 2013, Occurrence of fungicides and other pesticides in surface water, groundwater, and sediment from three targeted-use areas in the United States, 2009: U.S. Geological Survey Data Series 797, viii, 73 p., https://doi.org/10.3133/ds797.","productDescription":"viii, 73 p.","numberOfPages":"85","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-023568","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":279851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds797.jpg"},{"id":279850,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/797/pdf/ds797.pdf"},{"id":279839,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/797/"}],"country":"United States","state":"Idaho;Maine;Wisconsin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c300e4b0becc369c7cff","contributors":{"authors":[{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":485820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":485819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":485817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":485818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":485815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485816,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70056026,"text":"ofr20131060 - 2013 - Sea-floor geology and topography offshore in northeastern Long Island Sound","interactions":[],"lastModifiedDate":"2013-11-26T10:11:38","indexId":"ofr20131060","displayToPublicDate":"2013-11-26T10:00:00","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":"2013-1060","title":"Sea-floor geology and topography offshore in northeastern Long Island Sound","docAbstract":"Datasets of gridded multibeam bathymetry, covering approximately 52.9 square kilometers, were used to interpret character and geology of the sea floor in northeastern Long Island Sound. Although originally collected for charting purposes during National Oceanic and Atmospheric Administration hydrographic survey H12012, these acoustic data and the sea-floor sampling and photography stations subsequently occupied to verify the acoustic data are interpreted (1) to define the composition and terrain of the seabed, (2) to provide information on sediment transport and benthic habitat, and (3) as part of an expanding series of studies that provide a fundamental framework for research and resource management (for example, cables, pipelines, and dredging) activities in this major east coast estuary.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131060","collaboration":"Also available in DVD-ROM format; see Open-File Report 2013-1060 for ordering information.","usgsCitation":"Poppe, L., McMullen, K., Ackerman, S., and Glomb, K., 2013, Sea-floor geology and topography offshore in northeastern Long Island Sound: U.S. Geological Survey Open-File Report 2013-1060, HTML Document, https://doi.org/10.3133/ofr20131060.","productDescription":"HTML Document","ipdsId":"IP-044630","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":279784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131060.GIF"},{"id":279782,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1060/"},{"id":279783,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1060/title_page.html"}],"country":"United States","state":"Connecticut;New York","otherGeospatial":"Long Island Sound","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-72.40061964236243, 41.221039699120766], [-72.24182293597879, 41.25788919031744], [-72.15439394393304, 41.260297737976906], [-72.1465243042542, 41.25951206200242], [-72.14514615131536, 41.257180793946965], [-72.14803125653313, 41.24904067565398], [-72.40118635945878, 41.19922109091135], [-72.40061964236243, 41.221039699120766]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-72.4021781143774, 41.19922109091135, -72.14495295230523, 41.260297737976906], \"type\": \"Feature\", \"id\": \"3091986\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c301e4b0becc369c7d05","contributors":{"authors":[{"text":"Poppe, L.J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","affiliations":[],"preferred":false,"id":486297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMullen, K.Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.Y.","email":"","affiliations":[],"preferred":false,"id":486295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, S.D.","contributorId":88843,"corporation":false,"usgs":true,"family":"Ackerman","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":486298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glomb, K.A.","contributorId":67996,"corporation":false,"usgs":true,"family":"Glomb","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":486296,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70057473,"text":"ofr20131254 - 2013 - Petrologic and isotopic data from the Cretaceous (Campanian) Blackhawk Formation and Star Point Sandstone (Mesaverde Group), Wasatch Plateau, Utah","interactions":[],"lastModifiedDate":"2013-11-25T11:41:26","indexId":"ofr20131254","displayToPublicDate":"2013-11-25T11:03:00","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":"2013-1254","title":"Petrologic and isotopic data from the Cretaceous (Campanian) Blackhawk Formation and Star Point Sandstone (Mesaverde Group), Wasatch Plateau, Utah","docAbstract":"The presence of discrete minerals associated with coal—whether (1) detrital or authigenic constituents of the coals or in thin mudstone or siltstone units interbedded with coals, or (2) authigenic phases that formed along cleats—might influence its utilization as an energy resource. The build-up of sintered ash deposits on the surfaces of heat exchangers in coal-fired power plants, due to the alteration of minerals during combustion of the coal, can seriously affect the functioning of the boiler and enhance corrosion of combustion equipment. In particular, the presence of sodium in coals has been considered a key factor in the fouling of boilers; however, other elements (such as calcium or magnesium) and the amount of discrete minerals burned with coal can also play a significant role in the inefficiency of and damage to boilers. \n\nPrevious studies of the quality of coals in the Cretaceous (Campanian) Blackhawk Formation of the Wasatch Plateau, Utah, revealed that the sodium content of the coals varied across the region. To better understand the origin and distribution of sodium in these coals, petrologic studies were undertaken within a sedimentological framework to evaluate the timing and geochemical constraints on the emplacement of sodium-bearing minerals, particularly analcime, which previously had been identified in coals in the Blackhawk Formation. Further, the study was broadened to include not just coals in the Blackhawk Formation from various localities across the Wasatch Plateau, but also sandstones interbedded with the coals as well as sandstones in the underlying Star Point Sandstone. The alteration history of the sandstones in both formations was considered a key component of this study because it records the nature and timing of fluids passing through them and the associated precipitation of sodium-bearing minerals; thus, the alteration history could place constraints on the distribution and timing of sodium mineralization in the interbedded or overlying Blackhawk coals. Although some preliminary results were previously presented at scientific meetings, the petrologic and geochemical data have not been fully compiled and reported. The purpose of this report is to present the methods of data acquisition and the results of petrologic and isotopic analyses on coal and sandstone samples from the Blackhawk Formation as well as sandstones of the underlying Star Point Sandstone.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131254","usgsCitation":"Fishman, N.S., Turner, C., and Peterson, F., 2013, Petrologic and isotopic data from the Cretaceous (Campanian) Blackhawk Formation and Star Point Sandstone (Mesaverde Group), Wasatch Plateau, Utah: U.S. Geological Survey Open-File Report 2013-1254, Report: iii, 15 p.; Plate: 47.38 inches x 28.21 inches, https://doi.org/10.3133/ofr20131254.","productDescription":"Report: iii, 15 p.; Plate: 47.38 inches x 28.21 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042917","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":279628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131254.jpg"},{"id":279627,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1254/pdf/of2013-1254.pdf"},{"id":279626,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1254/pdf/of2013-1254_plate1.pdf"},{"id":279617,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1254/"}],"country":"United States","state":"Utah","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.2083,39.3641 ], [ -112.2083,41.5524 ], [ -111.1022,41.5524 ], [ -111.1022,39.3641 ], [ -112.2083,39.3641 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52947165e4b01cca2b1128ec","contributors":{"authors":[{"text":"Fishman, Neil S.","contributorId":106464,"corporation":false,"usgs":true,"family":"Fishman","given":"Neil","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":486782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Christine E.","contributorId":27164,"corporation":false,"usgs":true,"family":"Turner","given":"Christine E.","affiliations":[],"preferred":false,"id":486781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Fred fpeterson@usgs.gov","contributorId":1309,"corporation":false,"usgs":true,"family":"Peterson","given":"Fred","email":"fpeterson@usgs.gov","affiliations":[],"preferred":true,"id":486780,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048932,"text":"sir20135173 - 2013 - Streamflow statistics for unregulated and regulated conditions for selected locations on the Yellowstone, Tongue, and Powder Rivers, Montana, 1928-2002","interactions":[],"lastModifiedDate":"2014-07-11T11:22:50","indexId":"sir20135173","displayToPublicDate":"2013-11-25T10:29:00","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":"2013-5173","title":"Streamflow statistics for unregulated and regulated conditions for selected locations on the Yellowstone, Tongue, and Powder Rivers, Montana, 1928-2002","docAbstract":"Major floods in 1996 and 1997 on the Yellowstone River in Montana intensified public debate over the effects of human activities on the Yellowstone River. In 1999, the Yellowstone River Conservation District Council was formed to address conservation issues on the river. The Yellowstone River Conservation District Council partnered with the U.S. Army Corps of Engineers to conduct a cumulative-effects study on the main stem of the Yellowstone River. The cumulative-effects study is intended to provide a basis for future management decisions in the watershed. Streamflow statistics, such as flow-frequency and flow-duration data calculated for unregulated and regulated streamflow conditions, are a necessary component of the cumulative effects study.
\nThe U.S. Geological Survey, in cooperation with the Yellowstone River Conservation District Council and the U.S. Army Corps of Engineers, calculated streamflow statistics for unregulated and regulated conditions for the Yellowstone, Tongue, and Powder Rivers for the 1928–2002 study period. Unregulated streamflow represents flow conditions that might have occurred during the 1928–2002 study period if there had been no water-resources development in the Yellowstone River Basin. Regulated streamflow represents estimates of flow conditions during the 1928–2002 study period if the level of water-resources development existing in 2002 was in place during the entire study period. Peak-flow frequency estimates for regulated and unregulated streamflow were developed using methods described in Bulletin 17B. High-flow frequency and low-flow frequency data were developed for regulated and unregulated streamflows from the annual series of highest and lowest (respectively) mean flows for specified n-day consecutive periods within the calendar year. Flow-duration data, and monthly and annual streamflow characteristics, also were calculated for the unregulated and regulated streamflows.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135173","collaboration":"Prepared in cooperation with the Yellowstone River Conservation District Council and the U.S. Army Corps of Engineers","usgsCitation":"Chase, K.J., 2013, Streamflow statistics for unregulated and regulated conditions for selected locations on the Yellowstone, Tongue, and Powder Rivers, Montana, 1928-2002 (Originally posted November 22, 2013; Version 1.1: June 23, 2014): U.S. Geological Survey Scientific Investigations Report 2013-5173, Report: vii, 183 p.; Appendixes 1, 3-6, https://doi.org/10.3133/sir20135173.","productDescription":"Report: vii, 183 p.; Appendixes 1, 3-6","numberOfPages":"194","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1928-01-01","temporalEnd":"2002-12-31","ipdsId":"IP-028451","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":279625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135173.jpg"},{"id":279619,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5173/pdf/sir2013-5173.pdf"},{"id":279621,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5173/downloads/sir2013-5173_APP_3_peakflow.xlsx"},{"id":279620,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5173/downloads/sir2013-5173_APP_1_depletions.xlsx"},{"id":279622,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5173/downloads/sir2013-5173_APP_4_highflowfreq.xlsx"},{"id":279623,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5173/downloads/sir2013-5173_APP_5_lowflowfreq.xlsx"},{"id":279624,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5173/downloads/sir2013-5173_APP_6_Flowduration.xlsm"},{"id":279618,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5173/"}],"scale":"2000000","projection":"Lambert Conformal Conic","datum":"North American Datum of 1983","country":"United States","state":"Montana;North Dakota;Wyoming","otherGeospatial":"Powder River;Tongue River;Yellowstone River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.2915,42.7389 ], [ -111.2915,47.9752 ], [ -103.3374,47.9752 ], [ -103.3374,42.7389 ], [ -111.2915,42.7389 ] ] ] } } ] }","edition":"Originally posted November 22, 2013; Version 1.1: June 23, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52947166e4b01cca2b1128f2","contributors":{"authors":[{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":485822,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}