Advancing a climate smart strategy for biodiversity conservation in protected areas on the Qinghai-Xizang Plateau^✩

Abstract

The Qinghai-Xizang Plateau serves as an extensive gene pool for plateau species and a crucial focal point for global biodiversity conservation. Being a climate-sensitive region, the impacts of climate change have led to habitat loss, population extinction, and ecological imbalances, posing formidable challenges to the sustained effectiveness of existing protected areas. Despite substantial advancements in understanding species distribution, assessing habitat changes, and evaluating the efficiency of protected areas in recent decades, comprehensive evaluations encompassing all protected species are lacking, impeding conservation strategies. In this study, we gathered 137,856 observations, encompassing 2,605 species, and utilized the MaxEnt model to simulate changes in the current distribution patterns of endangered species and suitable habitats under future scenarios. We further proposed a climate smart approach to optimize the boundaries of protected areas in response to climate change. Key findings indicate that (1) the Qinghai-Xizang Plateau harbors 2,605 endangered species, constituting 34.04 % of the total endangered species catalog in China; (2) current high-adaptation habitats of Qinghai-Xizang Plateau cover a mere 7 % of the plateau, showing minimal alteration in protected efficiency under climate change scenarios (0.50 % increase); (3) incorporating the effects of climate change in adjusting protected area boundaries enhances their efficiency by an average of 20.52 %. Our proposed methodology holds promise for safeguarding endangered species on the Qinghai-Xizang Plateau and offers significant implications for analogous regions worldwide.

Keywords

Protected areas / Biodiversity assessment / Boundary optimization / Climate change / Qinghai-Xizang Plateau

CRediT authorship contribution statement

Xuan Li: Writing – original draft, Software, Methodology, Investigation, Conceptualization, Formal analysis, Validation. Yanzheng Yang: Writing – review & editing, Conceptualization, Project administration, Supervision. Pengxiang Zhao: Resources, Data curation, Supervision. Da Lv: Software, Data curation. Jun Zhao: Data curation, Resources. Zijian Lu: Data curation, Resources. Ping Huang: Resources. Jingyi Zhu: Investigation. Hao Song: Investigation. Binqiang Bao: Investigation. Jalal Kassout: Writing – review & editing. Ruonan Li: Data curation, Resources. Weihua Xu: Resources. Hua Zheng: Conceptualization, Funding acquisition, Project administration, Supervision.

Declaration of competing interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Ethical statement

Ethical approval was not required for this study, as human participants were secured according to local laws and institutional requirements. All aspects of this study were conducted in accordance with the tenets of the Declaration of Helsinki. Participation in the surveys used in this study was anonymous and voluntary, and consent was obtained from potential respondents prior to participation. Data collected for this research was kept confidential.

Acknowledgements

This research was funded by the National Natural Science Foundation of China (Grant No. 41925005), the National Key R&D Program of China (Grant No. 2024YFF1306103), and the Second Tibetan Plateau Scientific Expedition and Research Program (STEP) (Grant No. 2019QZKK0307).

Supplementary materials

Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.geosus.2025.100264.

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