Final Report Supplement - Joint Fire Science Program

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Zotero Report zotero://report/items/520446_XG98FERT-520446_89BHQIMS-520446... project will generate burn severity data, maps, and reports, which will be available for use at local, state, and national levels to evaluate trends in burn severity and help develop and assess the effectiveness of land management decisions. Additionally, the information developed will provide a baseline from which to monitor the recovery and health of fire-affected landscapes over time. Spatial and tabular data quantifying burn severity will augment existing information used to estimate risk associated with a range of current and future resource threats. The annual report of 2004 fires has been completed. All data and results will be distributed to the public on a Web site. Publication Fire Ecology Volume 3 Issue 1 Pages 3-21 Date November 2007 Journal Abbr Fire Ecol. DOI 10.4996/fireecology.0301003 ISSN 1933-9747 URL http://fireecology.net/index.php? option=com_journal&… Extra Keywords: burn severity; fire atlas; monitoring; normalized burn ratio; remote sensing. Date Added Sunday, August 28, 2011 5:42:07 AM Modified Sunday, August 28, 2011 5:42:07 AM A quantitative approach to developing regional ecosystem classifications Type Journal Article Author George E. Host Author Philip L. Polzer Author David J. Mladenoff Author Mark A. White Author Thomas R. Crow Abstract Ecological land classification systems have recently been developed at continental, regional, state, and landscape scales. In most cases, the map units of these systems result from subjectively drawn boundaries, often derived by consensus and with unclear choice and weighting of input data. Such classifications are of variable accuracy and are not reliably repeatable. We combined geographic information systems (GIS) with multivariate statistical analyses to integrate climatic, physiographic, and edaphic databases and produce a classification of regional landscape ecosystems on a 29 340-km² quadrangle of northwestern Wisconsin. Climatic regions were identified from a high-resolution climatic database consisting of 30-yr mean monthly temperature and precipitation values interpolated over a 1-km² grid across the study area. Principal component analysis (PCA) coupled with an isodata clustering algorithm was used to identify regions of similar seasonal climatic trends. Maps of Pleistocene geology and major soil morphosequences were used to identify the major physiographic and soil regions within the landscape. Climatic and physiographic coverages were integrated to identify regional landscape ecosystems, which potentially differ in characteristic forest composition, successional dynamics, potential productivity, and other ecosystem-level processes. Validation analysis indicated strong correspondence between forest cover classes from an independently derived Landsat Thematic Mapper classification and ecological region. The development of more standardized data sets and analytical methods for ecoregional classification provides a basis for sound interpretations of forest management at multiple spatial scales. Publication Ecological Applications Volume 6 Issue 2 Pages 608–618 Date May 1996 Journal Abbr Ecol. Appl. DOI 10.2307/2269395 ISSN 1051-0761 URL http://www.jstor.org/stable/2269395 24 of 626 9/1/2011 11:40 AM
Zotero Report zotero://report/items/520446_XG98FERT-520446_89BHQIMS-520446... Extra Keywords: climate; ecological land classification; geographic information systems; landscape ecosystem; physiography; Wisconsin. Date Added Monday, August 29, 2011 5:30:07 PM Modified Monday, August 29, 2011 5:35:01 PM A review of uncertainties in global temperature projections over the twenty-first century Type Journal Article Author Reto Knutti Author Myles R. Allen Author Pierre Friedlingstein Author Jonathan M. Gregory Author Gabriele C. Hegerl Author Gerald A. Meehl Author Malte Meinshausen Author James M. Murphy Author Gian-Kasper Plattner Author Sarah C. B. Raper Author Thomas F. Stocker Author Peter A. Stott Author Haiyan Teng Author Tom M. L. Wigley Abstract Quantification of the uncertainties in future climate projections is crucial for the implementation of climate policies. Here a review of projections of global temperature change over the twenty-first century is provided for the six illustrative emission scenarios from the Special Report on Emissions Scenarios (SRES) that assume no policy intervention, based on the latest generation of coupled general circulation models, climate models of intermediate complexity, and simple models, and uncertainty ranges and probabilistic projections from various published methods and models are assessed. Despite substantial improvements in climate models, projections for given scenarios on average have not changed much in recent years. Recent progress has, however, increased the confidence in uncertainty estimates and now allows a better separation of the uncertainties introduced by scenarios, physical feedbacks, carbon cycle, and structural uncertainty. Projection uncertainties are now constrained by observations and therefore consistent with past observed trends and patterns. Future trends in global temperature resulting from anthropogenic forcing over the next few decades are found to be comparably well constrained. Uncertainties for projections on the century time scale, when accounting for structural and feedback uncertainties, are larger than captured in single models or methods. This is due to differences in the models, the sources of uncertainty taken into account, the type of observational constraints used, and the statistical assumptions made. It is shown that as an approximation, the relative uncertainty range for projected warming in 2100 is the same for all scenarios. Inclusion of uncertainties in carbon cycle–climate feedbacks extends the upper bound of the uncertainty range by more than the lower bound. Publication Journal of Climate Volume 21 Issue 11 Pages 2651-2663 Date June 2008 Journal Abbr J. Climate DOI 10.1175/2007JCLI2119.1 ISSN 0894-8755 URL http://journals.ametsoc.org/doi/abs/10.1175/2007JCLI2119.1 Extra Keywords: temperature; anthropogenic effects; climate predictions; climate models; greenhouse gases. Date Added Tuesday, August 30, 2011 2:37:15 PM Modified Wednesday, August 31, 2011 12:16:38 AM A simple type of wood in two early Devonian plants 25 of 626 9/1/2011 11:40 AM
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Final Report Supplement - Joint Fire Science Program

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