Author
Listed:
- Huayong Zhang
(Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China
Theoretical Ecology and Engineering Ecology Research Group, School of Life Sciences, Shandong University, Qingdao 250100, China)
- Ritai Su
(Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China)
- Yihe Zhang
(School of Engineering, RMIT University, P.O. Box 71, Bundoora, VIC 3083, Australia)
- Zhongyu Wang
(Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China)
- Zhao Liu
(Theoretical Ecology and Engineering Ecology Research Group, School of Life Sciences, Shandong University, Qingdao 250100, China)
Abstract
Under global climate change, shifts in the suitable distribution of forest vegetation have become an important issue in ecology and biogeography, closely linked to forest biodiversity conservation and terrestrial ecosystem sustainable development. Birch forests are widely distributed across cold-temperate, temperate, and montane regions in China, but different birch forest types may vary in their environmental adaptations and spatial responses to climate change. In this study, three representative birch forest vegetation types in China, namely Betula utilis forest, Betula albosinensis forest, and Betula ermanii krummholz, were selected for comparative analysis. Based on vegetation distribution records and environmental variables, an optimized MaxEnt model was constructed using ENMeval to identify current suitable distribution patterns, key environmental drivers, and future habitat changes under climate change scenarios. The results showed that the three birch forest types differed markedly in current suitable distribution patterns. Betula utilis forest was mainly concentrated in the Qinling Mountains, Betula albosinensis forest showed a broader montane distribution pattern, and Betula ermanii krummholz was restricted to high-altitude or high-latitude cold habitats. Climatic factors were the dominant drivers of suitability, but the key environmental variables differed among the three vegetation types, indicating niche differentiation along temperature, precipitation, and elevation gradients. Under future climate scenarios, the suitable habitats of the three types showed type-specific changes in area, spatial stability, and centroid migration. Betula utilis forest and Betula albosinensis forest mainly exhibited regional spatial adjustment and partial expansion, whereas Betula ermanii krummholz showed stronger dependence on high-elevation cold habitats and more limited spatial adjustment capacity. These findings indicate that different birch forest vegetation types in China do not respond uniformly to climate change. The study provides a vegetation-type-specific basis for identifying stable suitable areas, potential expansion areas, and climate-sensitive habitats, and can support adaptive management and conservation planning for montane forest vegetation helping advance the implementation of Sustainable Development Goal 15 (SDG15) and long-term sustainability of mountain forest ecosystems under future climate change.
Suggested Citation
Huayong Zhang & Ritai Su & Yihe Zhang & Zhongyu Wang & Zhao Liu, 2026.
"The Suitable Distribution Pattern of Typical Birch Forest Vegetation Types in China and Its Differential Response to Climate Change,"
Sustainability, MDPI, vol. 18(13), pages 1-19, July.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:13:p:6779-:d:1982855
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