Institute of Mountain Hazards and Environment, Chinese Academy of Sciences and Ministry of Water Resources, Chengdu, China.
Power China Kunming Engineering Corporation Limited, Kuming, China.
PLoS One. 2020 Dec 23;15(12):e0243425. doi: 10.1371/journal.pone.0243425. eCollection 2020.
Identifying priority conservation areas plays a significant role in conserving biodiversity under climate change, but uncertainties create challenges for conservation planning. To reduce uncertainties in the conservation planning framework, we developed an adaptation index to assess the effect of topographic complexity on species adaptation to climate change, which was incorporated into the conservation framework as conservation costs. Meanwhile, the species distributions were predicted by the Maxent model, and the priority conservation areas were optimized during different periods in Sichuan province by the Marxan model. Our results showed that the effect of topographic complexity was critical for species adaptation, but the adaptation index decreased with the temperature increase. Based on the conservation targets and costs, the distributions of priority conservation areas were mainly concentrated in mountainous areas around the Sichuan Basin where may be robust to the adaptation to climate change. In the future, the distributions of priority conservation areas had no evident changes, accounting for about 26% and 28% of the study areas. Moreover, most species habitats could be conserved in terms of conservation targets in these priority conservation areas. Therefore, our approach could achieve biodiversity conservation goals and be highly practical. More importantly, quantifying the effect of topography also is critical for options for planning conservation areas in response to climate change.
确定优先保护区域在应对气候变化下保护生物多样性方面发挥着重要作用,但不确定性给保护规划带来了挑战。为了减少保护规划框架中的不确定性,我们开发了一个适应指数来评估地形复杂性对物种适应气候变化的影响,该指数被纳入保护框架作为保护成本。同时,利用 Maxent 模型预测物种分布,并通过 Marxan 模型优化四川省不同时期的优先保护区域。研究结果表明,地形复杂性的影响对物种适应至关重要,但适应指数随温度升高而降低。基于保护目标和成本,优先保护区域的分布主要集中在四川盆地周边的山区,这些地区可能对气候变化的适应具有较强的稳健性。未来,优先保护区域的分布没有明显变化,约占研究区域的 26%和 28%。此外,在这些优先保护区域中,大多数物种的栖息地可以根据保护目标得到保护。因此,我们的方法可以实现生物多样性保护目标,具有很高的实用性。更重要的是,量化地形的影响对于应对气候变化规划保护区域的选择也至关重要。