The dataset includes values of network
flow (betweenness) centrality, effective resistance, and combined
connectedness to the existing network of protected areas (PAs). Details
can be found in Dickson et al. (in press).
The high conservation
value areas were defined
by a systematic analysis of seven ecological indicators on contiguous
areas of roadless BLM land. The indicators used to define these areas
included species richness, vegetation community diversity, surface water
availability, topographic complexity, landscape naturalness and
permeability, and level of ecoregional protection. They were combined
using methods described in detail in Dickson et al. (2014) and represent
the “80/20 scale-dependent core” results from that analysis.
Flow centrality values were calculated for each high conservation value area
as the total current flow per square kilometer. Current flow was
estimated using Circuitscape software and a resistance layer based on
the degree of human modification and other variables, and using the
existing network of PAs as defined by the US PA Database v1.3 (USGS
2012). Each PA centroid was connected to ground and 1 Amp of current was
injected in the remaining centroids. Current flow was the sum of these
estimates across all PAs. Current flow data and details are provided and
described by Dickson et al. (2016), available on Databasin.
Effective
resistance to the existing PA network was calculated using Circuitscape
and the same input layers by setting all PAs to ground and iteratively
injecting 1 Amp of current into each high conservation value area.
Combined
rankings were calculated by adding the rankings for flow centrality (from
high to low) and effective resistance (from low to high) for each high
conservation value area.
Methods are described in more detail in Dickson et al. (in press).
Full metadata can be viewed upon download in the file named 'metadata1_original.xml'
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