TY - JOUR
T1 - Leveraging modern climatology to increase adaptive capacity across protected area networks
AU - Davison, Jennifer E.
AU - Graumlich, Lisa J.
AU - Rowland, Erika L.
AU - Pederson, Gregory T.
AU - Breshears, David D.
N1 - Funding Information:
This work was funded in part by the Institute for Environment, The University of Arizona . J.E.D. was also funded through a USDA MS-CREES Ecohydrology Fellowship. G.T.P. was funded through the U.S. Geological Survey's Western Mountain Initiative . D.D.B, was supported by DOE NICCR FC02-06ER64159 . Funding sources were not involved in any of the study phases, including the study design; collection, analysis and interpretation of data; writing of the report; nor the decision to submit the paper for publication. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
PY - 2012/2
Y1 - 2012/2
N2 - Human-driven changes in the global environment pose an increasingly urgent challenge for the management of ecosystems that is made all the more difficult by the uncertain future of both environmental conditions and ecological responses. Land managers need strategies to increase regional adaptive capacity, but relevant and rapid assessment approaches are lacking. To address this need, we developed a method to assess regional protected area networks across biophysically important climatic gradients often linked to biodiversity and ecosystem function. We plot the land of the southwestern United States across axes of historical climate space, and identify landscapes that may serve as strategic additions to current protected area portfolios. Considering climate space is straightforward, and it can be applied using a variety of relevant climate parameters across differing levels of land protection status. The resulting maps identify lands that are climatically distinct from existing protected areas, and may be utilized in combination with other ecological and socio-economic information essential to collaborative landscape-scale decision-making. Alongside other strategies intended to protect species of special concern, natural resources, and other ecosystem services, the methods presented herein provide another important hedging strategy intended to increase the adaptive capacity of protected area networks.
AB - Human-driven changes in the global environment pose an increasingly urgent challenge for the management of ecosystems that is made all the more difficult by the uncertain future of both environmental conditions and ecological responses. Land managers need strategies to increase regional adaptive capacity, but relevant and rapid assessment approaches are lacking. To address this need, we developed a method to assess regional protected area networks across biophysically important climatic gradients often linked to biodiversity and ecosystem function. We plot the land of the southwestern United States across axes of historical climate space, and identify landscapes that may serve as strategic additions to current protected area portfolios. Considering climate space is straightforward, and it can be applied using a variety of relevant climate parameters across differing levels of land protection status. The resulting maps identify lands that are climatically distinct from existing protected areas, and may be utilized in combination with other ecological and socio-economic information essential to collaborative landscape-scale decision-making. Alongside other strategies intended to protect species of special concern, natural resources, and other ecosystem services, the methods presented herein provide another important hedging strategy intended to increase the adaptive capacity of protected area networks.
KW - Biodiversity
KW - Climate change adaptation
KW - Ecosystem management
KW - Protected area networks
KW - Southwestern U.S.
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U2 - 10.1016/j.gloenvcha.2011.10.002
DO - 10.1016/j.gloenvcha.2011.10.002
M3 - Article
AN - SCOPUS:84855999836
SN - 0959-3780
VL - 22
SP - 268
EP - 274
JO - Global Environmental Change
JF - Global Environmental Change
IS - 1
ER -