BLM REA COP 2010 Long-Term Potential For Climate Change (4KM)

Metadata Updated: November 12, 2020

This dataset provides an estimate of areas of higher and lower potential for climate change impacts. It is the result of a fuzzy model that integrates changes in precipitation, runoff, potential natural vegetation, and summer and winter temperature. A powerpoint version of the logic model is available at Vector\Change_Agents\Climate\Clm_Long\Documentation\COP_CL_L_logic_model.pptx Normalized summer and winter temperature differences (change in temperature between 1968-1999 and 2045-2060 divided by standard deviation of PRISM temperature for 1968-1999) were converted to fuzzy values and the maximum value extracted. This was averaged with fuzzy values for change in runoff and normalized change in annual precipitation. This value was then combined with areas of potential natural vegetation change and the maximum value extracted to provide the final estimate of potential for climate change impacts. Caution should be exercised in interpreting this dataset. It provides one possible estimate of climate change impacts based on integration of statistically resampled regional climate projections based on boundary conditions from a single global climate model (ECHAM5) compared to current conditions (PRISM). It was not feasible in the scope of this REA to perform this analysis for other available climate projections; however, comparison of results across projections may provide additional insights as to the variability in areas of potential climate impacts. Please note that this dataset does not account for uncertainty of climate projections; this uncertainty is a combination of assumptions inherent in the model construction as well as spatial variability of climate observations over heterogenous landscapes (e.g., sparse weather stations recording past/current climate conditions, unevenly distributed across highly variable terrain). Also note that the impacts of climate change are likely to be highly specific to particular species and ecosystems. The factors integrated into this dataset are intended to provide an overall estimate across species and ecosystems. Additional analyses (outside the scope of this REA) would be required to address species-specific impacts due to climate.

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License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Date September 15, 2016
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Reference Date(s) January 1, 2011 (publication)
Frequency Of Update notPlanned

Metadata Source

Harvested from DOI Open Data

Additional Metadata

Resource Type Dataset
Metadata Date September 15, 2016
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Reference Date(s) January 1, 2011 (publication)
Responsible Party Conservation Biology Institute (Point of Contact)
Contact Email
Access Constraints Use Constraints: These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office for which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This information may be updated without notification., Access Constraints: None, these data are considered public domain
Bbox East Long -106.927117
Bbox North Lat 41.00236956
Bbox South Lat 36.18672755
Bbox West Long -113.6029416
Coupled Resource
Frequency Of Update notPlanned
Licence The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM.
Metadata Language
Metadata Type geospatial
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True

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