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Reserve design to optimize functional connectivity and animal density.
Amrita Gupta1, Bistra Dilkina1, Dana J Morin2
1School of Computational Science and Engineering, College of Computing, Georgia Institute of Technology, 266 Ferst Drive, Atlanta, GA, 30332, U.S.A.
Summary
Spatial capture-recapture (SCR) models aid reserve design by balancing animal density and connectivity. Integrating home-range constraints into reserve planning ensures biologically relevant conservation outcomes for species persistence.
Area of Science:
- Conservation science
- Ecological modeling
- Wildlife management
Background:
- Spatial capture-recapture (SCR) models estimate animal density and connectivity, crucial for population persistence.
- Integrating individual space use into reserve design is vital for effective conservation strategies.
Purpose of the Study:
- To explore the integration of SCR models into reserve-design frameworks.
- To optimize reserve design by considering individual space use and landscape structure.
- To evaluate different SCR-informed conservation objectives.
Main Methods:
- Formulated reserve design as a budget-constrained optimization problem.
- Conducted simulations to test three SCR-informed optimization objectives.
- Assessed the impact of home-range constraints on reserve design.
Main Results:
- Maximizing local density led to fragmented reserves, while maximizing connectivity protected fewer individuals.
- Density-weighted connectivity and home-range constraints produced compact reserves in high-density areas with good functional connectivity.
- Reserve design is significantly constrained by individual home-range requirements.
Conclusions:
- Accounting for individual space use in reserve design objectives and constraints is essential.
- Optimized reserve design can effectively balance population abundance and connectivity.
- This approach supports biologically relevant and sustainable conservation planning.
Keywords:
captura-recaptura espacialconectividad funcional, conservación de la conectividadconnectivity conservationconservation planningdiseño de reservasfunctional connectivityinteger linear programingmathematical optimizationoptimización matemáticaplaneación de la conservaciónprogramación entera linealreserve designspatial capture-recapture保护区设计保护规划功能连接度数学最优化整数线性规划空间捕获-重捕模型连接度保护
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