Conservation Biogeography Research Group, Institute of International Rivers and Eco-security, Yunnan University, Kunming, Yunnan 650091, China; Yunnan Key Laboratory of International Rivers and Transboundary Ecosecurity, Yunnan University, Kunming, Yunnan 650091, China.
Conservation Biogeography Research Group, Institute of International Rivers and Eco-security, Yunnan University, Kunming, Yunnan 650091, China; Yunnan Key Laboratory of International Rivers and Transboundary Ecosecurity, Yunnan University, Kunming, Yunnan 650091, China.
Sci Total Environ. 2019 Dec 1;694:133771. doi: 10.1016/j.scitotenv.2019.133771. Epub 2019 Aug 5.
It is well known that existing protected areas (PAs) should function as focal areas for expanding PA systems. The optimal complementary conservation areas are often identified by implementing two approaches in systematic conservation planning, i.e., unlocking or locking existing PAs. However, evidence-based studies are lacking for clarifying the efficiencies of these two planning approaches. With Sichuan in southwest China - part of a global biodiversity hotspot - as one case, this study first assessed the ecological representativeness of existing nature reserves (NRs). Using 32 natural vegetation types as the conservation features, we then implemented a systematic conservation planning process by running Marxan software with NR-unlocked and NR-locked scenarios. A human disturbance index was also included as a penalty function in Marxan for achieving cost-effective planning. We finally investigated the efficiencies of the unlocking and locking planning approaches by comparing the outcomes of the NR-unlocked and NR-locked scenarios. We found that existing NRs were geographically biased towards the western mountainous regions with high elevations and low human disturbance levels. For achieving the same quantitative conservation targets, the total area of the NR-locked priority conservation areas was 18.6% larger than that of the NR-unlocked areas, whereas the area of NR-locked complementary areas to existing NRs was 15.3% smaller than that of NR-unlocked ones. Moreover, the NR-locked priority conservation areas had higher ecological representativeness than NR-unlocked areas. The results suggest that if a completely new PA system is to be established without considering existing PAs, the unlocking approach could more efficiently achieve the full conservation targets at lower costs of land area and with better connected habitats. When existing PAs must be used as focal areas for expansion, the locking approach is more cost-effective for filling conservation gaps by requiring smaller amounts of complementary areas. Our analysis provides evidence-based support for expanding the current PA systems in a cost-effective manner.
众所周知,现有保护区(PA)应作为扩大 PA 系统的重点区域。通过在系统保护规划中实施两种方法,即解锁或锁定现有 PA,可以确定最佳的互补保护区域。然而,缺乏基于证据的研究来阐明这两种规划方法的效率。以中国西南部的四川省——全球生物多样性热点地区之一——为例,本研究首先评估了现有自然保护区(NR)的生态代表性。使用 32 种自然植被类型作为保护特征,我们通过运行 Marxan 软件并采用 NR 解锁和 NR 锁定方案来实施系统保护规划过程。还将人为干扰指数作为惩罚函数纳入 Marxan 中,以实现具有成本效益的规划。我们最后通过比较 NR 解锁和 NR 锁定方案的结果来调查解锁和锁定规划方法的效率。我们发现,现有的 NR 在地理位置上偏向于海拔较高、人为干扰水平较低的西部山区。为了实现相同的定量保护目标,NR 锁定的优先保护区域的总面积比 NR 解锁区域大 18.6%,而 NR 锁定的补充区域比 NR 解锁区域小 15.3%。此外,NR 锁定的优先保护区域比 NR 解锁区域具有更高的生态代表性。研究结果表明,如果要在不考虑现有 PA 的情况下建立一个全新的 PA 系统,解锁方法可以以更低的土地面积成本和更好的连通栖息地更有效地实现全面保护目标。当现有 PA 必须用作扩展的重点区域时,锁定方法通过要求较小的补充区域,在填补保护空白方面更具成本效益。我们的分析为以具有成本效益的方式扩展当前的 PA 系统提供了基于证据的支持。