Software - Brad McRae

CIRCUITSCAPE
is
a Java program which borrows algorithms from circuit theory to predict
patterns of movement, gene flow, and genetic differentiation among
populations in
heterogeneous landscapes. It uses raster habitat maps as
input, and predicts connectivity and movement patterns between
user-defined points on the landscape.
Theory behind genetic applications of the model is described here,
and here's
some extra info about new conservation planning applications using the
model. A paper testing the model with genetic data from
threatened plant and animal populations can be found here.
Screenshot:

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Some new applications
of Circuitscape:
Mapping
critical linkages in complex landscapes

(A) Map of an example
landscape, with
landscape resistances ranging from 1 (white) to infinity
(black). (B)
Results from conventional least-cost modeling between habitat patches
in lower-left
and
upper-right corners of the map. (C) Circuitscape output for
the same two habitat patches. Circuitscape
efficiently identifies “pinch points,” or critical
habitat linkages, as well as features important
for redundancy.
Unlike least-cost methods, circuit theory doesn't highlight
habitat cul-de-sacs or corridors that don't contribute to connectivity
(such as the one leading off the top of the map). Work
with Brett
Dickson and Tim Keitt to
appear soon in Ecology.
Connectivity for
mountain lions
Connectivity
for mountain lions moving between core habitat areas in
southern
California. Blue shows areas of low current density, which
are
expected to have low densities of dispersing mountain lions; yellow
designates movement bottlenecks, where connectivity is most vulnerable
to habitat destruction. This is an example analysis only;
better
dispersal routes to the South were cut off by map edges. In
general, high current flow indicates high priority areas for
conservation or restoration. Research
Collaborators: Brett Dickson and Rick Hopkins, Live Oak
Associates, with generous support from Vicki Long.
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