Key research themes
1. How can systematic conservation planning frameworks best integrate socio-ecological complexity to enhance conservation implementation?
This research theme addresses the challenge of bridging the gap between conservation planning assessments and on-the-ground implementation by incorporating social, economic, governance, and stakeholder engagement factors alongside ecological data. It recognizes conservation as a complex socio-ecological problem requiring decision support frameworks that go beyond spatial prioritization to include participatory design, adaptive management, and multi-stakeholder governance. This integration is vital to foster actionable, durable, and scalable conservation outcomes in diverse contexts.
2. What are the methodological advances in spatial prioritization to optimize biodiversity representation and connectivity in conservation planning?
This theme explores computational and quantitative methods underpinning SCP, focusing on algorithms, data types, and efficiency metrics that inform spatial selection of protected areas. It investigates solutions to minimum set and maximum coverage problems, integration of species density data, multi-criteria trade-offs including connectivity and genetic diversity, and landscape-scale design principles. These methodological advances are crucial for generating robust, cost-effective, and ecologically meaningful conservation networks.
3. How can systematic conservation planning contribute to global and national conservation targets through informed prioritization and evidence synthesis?
This research theme examines how SCP informs policy-relevant targets such as the Aichi Biodiversity Targets, 30×30 initiatives, and key biodiversity area (KBA) identifications by synthesizing spatial data on species, ecosystems, and protected areas. It also evaluates the evidentiary support for conservation outcomes of SCP globally and integrates different conservation approaches to maximize biodiversity benefits. This theme is critical for aligning scientific prioritizations with international commitments and for identifying gaps in current protected area networks.