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Research Article

Consideration of climate change impacts will improve the efficiency of protected areas on the Qinghai-Tibet Plateau

, , , , , , , & show all
Article: 2117089 | Received 01 Mar 2022, Accepted 19 Aug 2022, Published online: 20 Sep 2022
 

ABSTRACT

The protection of migratory birds and their habitats is important to the ecological stability of the Qinghai-Tibet Plateau (QTP). Currently protected areas (PAs) were designed in accordance with species distribution patterns under current climatic conditions, thus ignoring climate change will lead to a decrease in the protection efficiency of PAs. In this study, using the flagship species Grus nigricollis, as an example, we used the maximum entropy (MaxEnt) model to simulate the distributions and conservation status of G. nigricollis and optimized the existing PA boundaries . The results showed that (1) suitable habitat- for G. nigricollis accounts for 12.48% of the QTP area, and the PAs established under current climatic conditions cover 17.84% of this suitable habitat area; (2) future climate changes will influence the distribution and quality of G. nigricollis habitats, and the average protection efficiency of the current PAs in four climatic scenarios will decrease from 17.84% to 15.31%; and (3) through optimization, the efficiency of existing PAs can be increased by 0.75 times and reach 28.37%, indicating PA planning must consider not only current climate conditions but also the effects of climate changes. Our results aim to address shortcomings in the conservation efficiency of PAs and provide an example for resolving mismatched PA boundaries and habitat changes for species.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplemental data

Supplemental data for this article can be accessed online at https://doi.org/10.1080/20964129.2022.2117089.

Additional information

Funding

This research was funded by the Second Tibetan Plateau Scientific Expedition and Research Program (STEP) (Grant No. 2019QZKK0307), the National Natural Science Foundation of China (Grant Nos. 41925005 and 41701051) and the Special Program of Research Center for Ecoenvironmental Sciences, at the Chinese Academy of Sciences (RCEES-TDZ-2021-11).