1KM Results: Current Terrestrial Landscape Intactness in the DRECP Study Area, 12km Buffer (Draft v15a) - This version is a draft intended for internal DRECP review only.
See EEMS model diagram attached.
1. Vegetation (Fire Regime) Departure was reclassified as follows:
In previous versions, all of the aforementioned categories were calculated as NoData.
- Agriculture, Urban, Departure Not Calculated -> NoData
- Sparse Vegetation, Barren, Snow/Ice, Water -> 0
2. Change Vegetation Departure weight from 0.05 (v14a) to 0.2
3. Change Agricultural Development weight from 0.7 (v14a) to 0.5
This dataset provides an estimate of current terrestrial intactness, based on an EEMS fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness.
This model integrates agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious Surfaces), linear development (from Tiger 2012 Roads, utility lines, and pipelines), OHV recreation areas, energy and mining development (from state mine and USGS national mines datasets as well as geothermal wells, oil/gas wells, wind turbines, and power plant footprints), vegetation departure (from LANDFIRE VDEP), Â invasive vegetation (multiple sources combined for invasives analyses), and measures of natural vegetation fragmentation calculated using FRAGSTATS. In this version, Maxent modeled Sahara Mustard was included in the Invasive's branch as well as in the Fragstats model run.Â
Terrestrial intactness is high in areas where development is low, vegetation intactness is high, and fragmentation is low. Caution is warranted in interpreting this dataset because it provides a single estimate of terrestrial intactness based on available data. The degree of terrestrial intactness likely varies for a particular species or conservation element, and may depend on additional factors or thresholds not included in this model. Instead, this model should be taken as a general measure of intactness that can serve as a template for evaluating across many species at the ecoregion scale, and provides a framework within which species-specific parameters can be incorporated for more detailed analyses.