1KM Results: Current Terrestrial Landscape Intactness in the DRECP Study Area, 12km Buffer (v15a).
Terrestrial intactness quantifies the signature of human impact on the landscape. Ecological intactness is high in areas where development is low, vegetation quality is high, and fragmentation is low.
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.
See EEMS model diagram attached.
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), 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.
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.
1. Vegetation (Fire Regime) Departure was reclassified as follows:
Agriculture, Urban, Departure Not Calculated -> NoData
Sparse Vegetation, Barren, Snow/Ice, Water -> 0In previous versions, all of the aforementioned categories were calculated as NoData.
2. Change Vegetation Departure weight from 0.05 (v14a) to 0.2
3. Change Agricultural Development weight from 0.7 (v14a) to 0.5