SIMULATING THE DYNAMIC TRANSITION FROM REGIONAL DESIGNS TO LOCAL ACTIONS
Regional-scale conservation planning is important to allow emergent system properties such as complementarity, connectivity of areas, and accounting for vital large-scale processes. Such scale of planning, however, results in a mismatch of scales between that of planning and implementing the plans, which occurs at local scales. Despite considerable acknowledgement of this issue in the literature, explicit strategies to facilitate this transition of scales are obscure and yet to be quantified. Using the computer language, 'R', we coded a framework to simulate dynamically transitioning from prioritised regional designs to implementing local actions, defined by management units, in the protracted application of conservation actions. We tested how the frequency of updating the regional design with local information on currently achieved objectives during the transition, influenced the extent of change in spatial configuration between the initial proposed design and the final implemented actions, measured with Cohen's Kappa statistic. Increased frequency of updating the regional design decreased the spatial similarity between the initial design and final actions. However, increasing the frequency of updates also increased the spatial and cost efficiency of implemented reserves compared to simulations with less frequent updates. Our findings refute current perceptions that the implemented network needs to be as spatially similar as possible to the best-proposed design, and that frequent revision of regional designs during the transition to implementation decreases efficiency.
Cheok, J., James Cook University, Australia, firstname.lastname@example.org
Pressey, R. L., James Cook University, Australia, email@example.com
Weeks, R., James Cook University, Australia, firstname.lastname@example.org
VanDerWal, J., James Cook University, Australia, email@example.com
Andréfouët, S., Institut de Recherche pour le Développement, New Caledonia, firstname.lastname@example.org
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