An integration of habitat evaluation, individual based modeling, and graph theory for a potential black bear population recovery in southeastern Texas, USA
Authored by Jianguo Liu, Anita T Morzillo, Joseph R Ferrari
Date Published: 2011
DOI: 10.1007/s10980-010-9536-4
Sponsors:
United States National Aeronautics and Space Administration (NASA)
National Fish and Wildlife Foundation
Unied States tNational Park Service
Platforms:
LANDGRAPHS
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
Population recovery is difficult for species that require large
contiguous areas of habitat, particularly within areas of heterogeneous
land ownerships. Ecologically, potential for recovery success requires
assessment of quantity, quality, and distribution of available habitat.
Our objective was to evaluate habitat for a possible Louisiana black
bear recovery in southeastern Texas. First, we categorized land cover
and identified remote areas of highly suitable habitat. Next, we used
the individual based simulation model J-walk to estimate ability of
female black bears to move among remote habitat patches. Then, we
applied graph theory to J-walk output to evaluate overall connectivity
of remote habitat. An estimated 225,626 ha of remote habitat were
identified in 901 patches, most of which was located within the eastern
half of the study area. Network analysis showed specific areas where
targeted conservation efforts may help black bear population expansion
throughout the study region. Ultimately, enough habitat area exists to
sustain a black bear population and it is best connected among public
and private lands largely within the eastern half of the study area.
Habitat evaluation will need to be revisited if black bears establish
themselves locally and actual habitat use data become available.
Regardless, our analysis demonstrates an important first step that may
be incorporated into a larger adaptive management framework, updated, and replicated as more-detailed habitat suitability and land use data
are available.
Tags
movements
Landscape connectivity
Conservation
Dispersal
Heterogeneous landscapes
Forest
Florida