East Maui, Hawaiʻi example solution demonstrating optimization of climate resilient habitat for native plant species recovery, 2021
Dates
Time Period
2021-11-01
Publication Date
2023-06-12
Citation
Leopold, C.R., Berio Fortini, L., Amidon, F., Fretz, S., Jacobi, J.D., Mehrhoff, L., and Sutter, R., 2023, East Maui, Hawaiʻi optimization of climate resilient habitat for native plant species recovery, 2021: U.S. Geological Survey data release, https://doi.org/10.5066/P9LKNAR4.
Summary
Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and tested a multi-step optimization process to assist in identifying the minimum climate resilient habitat for the recovery of multiple threatened, endangered, and at-risk plant species across east Maui, Hawaiʻi. Data include the underlying land-use configuration file, predictive climate models, list of plant species and number of populations to recover/protect, habitat and forest bird distribution information, presence of fencing, land management status, and naming protocol file. We identified a suite of potential conservation footprints that are [...]
Summary
Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and tested a multi-step optimization process to assist in identifying the minimum climate resilient habitat for the recovery of multiple threatened, endangered, and at-risk plant species across east Maui, Hawaiʻi. Data include the underlying land-use configuration file, predictive climate models, list of plant species and number of populations to recover/protect, habitat and forest bird distribution information, presence of fencing, land management status, and naming protocol file. We identified a suite of potential conservation footprints that are constrained by ecological and resource management selection criteria based input and co-production with botanical experts and resource managers. We present an example solution that includes sufficient recovery habitat for all species of interest and identify priority recovery planning units for population-level recovery planning. The dataset is presented at the planning unit level and indicates which species can be recovered within a given unit.
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Optimization_solution_example_FINAL.xml Original FGDC Metadata
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pu_solution_example.gpkg
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Purpose
We present this solution to serve as an example conservation footprint; the primary output of the optimization process. These data can be used to identify key sites for prioritizing at-risk plant species recovery and to inform additional natural resource management planning efforts.
