2030 Framework Regional Natural Resource Areas

This is a preliminary analysis of the Regionally Significant Natural Resource Areas in the seven county metropolitan area. It was created by the Minnesota Department of Natural Resources. This dataset was used in the Metropolitan Council's Blueprint 2030 and subsequent 2030 Regional Development Framework. After the Blueprint was approved by the Council, the DNR provided a different dataset named Regionally Significant Ecological Areas. Some significant differences exist between the two datasets. DNR is only distributing the latter dataset. The Metropolitan Council is distributing this dataset because it was used for the 2030 Regional Development Framework.<br/><br/>This metadata was taken in large part from DNR's metadata which is no longer available.<br/><br/>Individual forest, grassland and wetland models were integrated to identify and rank the Regionally Significant Natural Resource Areas. The Regionally Significant Natural Resource Area scores are determined by examining important ecological attributes of the natural resource patches, including size, shape, cover type diversity, adjacent land use. The results represent a probability that the modeled conditions exist in any given area, due to limitations of the data layers. <br/><br/>The dataset was created from LandSat land cover images.

Additional Info

Field Value
Last Updated April 26, 2019, 10:02
Created September 4, 2015, 10:01
dsAccessConst None. This dataset is public domain under the Minnesota Government Data Practices Act (Minnesota Statutes Chapter 13). If the dataset is not available from the Online Linkage in Section 6, please contact the Distribution Contact Person.
dsCurrentRef 2000 LandSat images
dsMetadataUrl ftp://ftp.gisdata.mn.gov/pub/gdrs/data/pub/us_mn_state_metc/env_frmwrk2030nat_resourc_ar/metadata/metadata.html
dsModifiedDate 2019-04-24 23:52:14
dsOriginator Minnesota Dept. of Natural Resources, Metro Region
dsPurpose The data is to help make regional scale land use decisions, especially as it relates to balancing development and natural resource protection.

Dataset extent