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The regional flow patterns dataset was designed to identify potential larger-scale directional movements and pinpoint the areas where they are likely to become concentrated, diffused, or rerouted, due to the structure of the landscape. We used the software tool Circuitscape (McRae and Shah 2009, http://www.circuitscape.org/) based on electric circuit theory, to model these larger flow patterns for the region. Like the local connectedness analysis, the underlying data for this analysis was land-cover and road data converted to a resistance grid by assigning weights to the cell types based on their similarity to cells of natural cover. However, instead of quantifying local neighborhoods, the Circuitscape program calculates...
This map shows habitat connectivity compiled from multiple sources. Habitat connectivity was modeled separately in California and Arizona. 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. 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. The BLM should be cited...
These data represent linkages where maintenance or restoration of ecological connectivity is essential for conserving biological diversity within the DRECP area. Current condition of linkages is represented by terrestrial intactness scores at 1km resolution, calculated by version 15a of CBIâs EEMS fuzzy logic model, which integrates multiple measures of landscape development and vegetation intactness.Linkages (which do not include wildland or habitat blocks) include the following:1) Linkages identified by SC Wildlands as part of the California Desert Connectivity Project (http://databasin.org/datasets/85d73316b5ab4816b56ed21787ed78a2). 2) Desert Tortoise TCA habitat linkages, representing least cost pathways...
The regional flow patterns dataset was designed to identify potential larger-scale directional movements and pinpoint the areas where they are likely to become concentrated, diffused, or rerouted, due to the structure of the landscape. We used the software tool Circuitscape (McRae and Shah 2009, http://www.circuitscape.org/) based on electric circuit theory, to model these larger flow patterns for the region. Like the local connectedness analysis, the underlying data for this analysis was land-cover and road data converted to a resistance grid by assigning weights to the cell types based on their similarity to cells of natural cover. However, instead of quantifying local neighborhoods, the Circuitscape program calculates...
The purpose of this layer is to depict information relevant to the conservation of the desert tortoise (Gopherus agassizii) under the Desert Renewable Energy Conservation Plan (DRECP). Its extent includes all desert tortoise conservation areas (TCAs) identified in the US Fish and Wildlife Service's (USFWS) recovery plan for the desert tortoise and a series of least cost pathway linkages that connect these TCAs. The least cost pathway linkages were mapped by the USFWS Desert Tortoise Recovery Office (DTRO) and the University of Redlands. For the purpose of DRECP planning, this layer provides a more detailed assessment of this broad conservation network and identifies how different geographic areas within this network...
These datasets were created by SC Wildlands as part of the California Desert Connectivity Project. (See http://www.scwildlands.org/reports/ for detailed report.)The goal of this project was twofold:  1)   To identify areas where maintenance or restoration of ecological connectivity is essential for conserving the unique biological diversity of Californiaâs deserts  2)   To produce implementable linkage designs and provide the necessary data and information to inform land management, land acquisition, restoration (e.g., habitat restoration and restoration of permeability across transportation barriers), and stewardship in connectivity zones.  In 2009, SC Wildlands brought together regional ecologists...
This coverage represents a network of core area over a certain size and linkages recommended to define land management and land use based on a biological basis consistent with sustaining the health of this region's ecosystems.
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