This dataset represents projected spotted owl habitat probability of
occupancy for the climate of 2061-2090 in the Pacific Northwest (USA)
based on the mean habitat occupancy predictions from three
representative climate projections: lowest warming (GCM GISS_ER with
IPCC storyline B1), moderate warming (GCM ECHAM5 SRES with storyline
A2), and highest warming (GCM IPSL_CM4 with storyline A2). This
dataset is currently under development and subject to change. Please DO
NOT DOWNLOAD THIS DATASET until it has been finalized (for more details
contact carlos@klamathconservation.org)
. In Carroll and others (in prep.), we evaluate how a system of
reserves can be made resilient to climate change. First, we assess how
well the NFP's reserve network currently protects habitat for spotted
owl and rare "Survey and Manage" species. Then, we assess how
these species will fare under climate change. Our results suggest that
the spotted owl acts as fairly good "umbrella" species for
protecting localized species. We identify additional coarse-scale
priority areas for localized species, protection of which would allow
achievement of the goals of the Survey and Manage program while reducing
the resources necessary for pre-project surveys. We found that climate
change will produce both winners and losers among the localized species.
Whereas the net effect over all species may be neutral, protecting the
losing species will require increasingly more area. Finally, we identify
coarse-scale priority areas that can act as refugia for both the owl and
localized species under climate change, thus potentially forming the
foundations of a resilient reserve system. Predictive habitat models
are based on climate and vegetation (Strittholt et al. 2006) variables.
Owl models are based on a location dataset from Carroll and Johnson
(2008). Colors are defined for percent chance of occupancy as follows:
Light Beige: 1-10% Tan: 11-20% Brown: 21-30% Red-Brown: 31-40% Cyan:
41-50% Blue-Green: 51-60% Dark Green: 61-70% Blue: 71-80% Dark Blue: 81-90%