EcoService Models Library (ESML)

Document: Identifying priority areas for biodiversity conservation based on Marxan and InVEST model (Doc-490)

490
Authors
Zhang, L. and Li, J.
Year
2022
Title
Identifying priority areas for biodiversity conservation based on Marxan and InVEST model
Document Type
Journal Article
Publisher
Springer Nature Link
Journal
Landscape Ecology
Volume
37
Pages
3043-3058
Abstract
Context According to Global Biodiversity Outlook 5, the Aichi Biodiversity Target regarding protected areas (PAs) has been partially achieved with limited progress in valid performance for biodiversity conservation and effective management. This suggests that not only the spatial planning of PAs but also the spatial prioritization for PAs under different management scenarios need more prudent decision-making. Objectives We aim to develop a comprehensive approach to identify and prioritize PAs to maximize the effectiveness of biodiversity conservation while minimize the conservation costs. Methods Taking Beijing-Tianjin-Hebei region as a case study, we consider the supply and demand of ecosystem services, and landscape connectivity to identify PAs. Systematic conservation planning decision support tool Marxan was employed to identify the priority areas of PAs under multi-target scenarios. The conservation costs, the critical step in the planning process, was estimated using habitat quality evaluation module embedding in InVEST model. Results The results showed that the conservation costs for construction land and unused land were the highest, while the costs for forest land, grassland, and farmland were very low. Sensitivity analysis confirmed the most appropriate conservation goal was 50% of the total area. Therefore, we generated spatial prioritization outcomes based on this target. The highest priority area was mainly located in the northwest of Beijing, the north of Chengde, and the east of Zhangjiakou. Conclusions It is concluded that the proposed approach helps decision-makers to identify spatial prioritization for biodiversity conservation based on different scenarios and also yields insights into systematic conservation planning and management.
URL Exit
https://link.springer.com/article/10.1007/s10980-022-01547-0
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