J Plant Ecol ›› 2025, Vol. 18 ›› Issue (6): rtaf103.DOI: 10.1093/jpe/rtaf103

• Research Article •    

Prediction of potential suitable areas for dominant tree species in China under future climate change scenarios

Jiaqi Guo1, Zihan Zhou2*, Tong Feng3, Jincheng Liu4, Jun Liu5, Xiaomin Zeng6*   

  1. 1College of Geomatics, Xi’an University of Science and Technology, Xi’an 710054, China, 2College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China, 3Precision Forestry Key Laboratory of Beijing, Beijing Forestry University, Beijing 100083, China, 4College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China, 5Qinling National Botanical Garden, Xi’an 710061, China, 6School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China 

    *Corresponding authors. E-mail: zhouzh@chd.edu.cn (Z.Z.); zengxm1021@snnu.edu.cn (X.Z.)

  • Received:2024-12-16 Accepted:2025-04-24 Online:2025-07-19 Published:2025-12-01
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (grant numbers 32371875 and 42277448).

气候变化情景下中国优势树种的潜在适宜分布区预测

Abstract: Climate change is severely threatening global biodiversity and forest ecosystems, thereby affecting the functional traits, geographic distribution and survival strategies of numerous species. This study simulates the potential geographic distribution of five major conifer species and five major broadleaf species in China for the present and three future periods, and analyzes the impact of climate change under four shared socioeconomic pathways (SSP) scenarios on the potential distribution of these species. The results indicate that the geographic distribution of conifer species is primarily influenced by the mean temperatures of the warmest and coldest months, as well as the annual temperature range. In contrast, the distribution of broadleaf species is mainly affected by precipitation in the driest month, the warmest quarter and the annual total precipitation. Under future climate change scenarios, the majority of dominant tree species in China are projected to shift toward higher latitudes and elevations. The suitable habitats for Pinus tabuliformis and Robinia pseudoacacia are projected to expand the most significantly under the SSP5-8.5 scenario for 2081–2100, by 46.18 × 104 and 64.35 × 104 km2, respectively. Picea asperata, Larix gmelinii, Betula platyphylla, and Ulmus pumila are expected to face potential niche contraction and significant habitat loss. The suitable habitat of B. platyphylla is projected to disappear entirely from parts of Yunnan, Guizhou, Guangdong, and Jiangxi provinces under the SSP5-8.5 scenario for 2081–2100. This study provides important insights for the scientific formulation of forest conservation strategies and forestry planning in China.

Key words: climate change, dominant tree species, maximum entropy model, geographical distribution, suitable areas

摘要:
气候变化对全球生物多样性和森林生态系统产生严重威胁,进而影响了大多数树种的功能特性、地理分布及生存策略。本研究模拟了当前及未来3个时期,中国5种主要针叶树种和5种主要阔叶树种的潜在地理分布,并分析了4种共享社会经济路径情景下气候变化对这些树种潜在分布的影响。结果表明:针叶树种的地理分布主要受最暖月和最冷月平均温度以及年温差的影响,而阔叶树种则主要受最干旱月份降水量、最暖季节降水量和年降水量的影响。未来气候变化情景下,中国大多数优势树种将向更高纬度和更高海拔迁移。SSP5-8.5情景下,2081–2100年油松(Pinus tabuliformis)和刺槐(Robinia pseudoacacia)的适宜栖息地增长最为显著,分别增加了46.18 × 104 km2和64.35 × 104 km2。然而,云杉(Picea asperata)、落叶松(Larix gmelinii)、白桦(Betula platyphylla)和白榆(Ulmus pumila)将面临潜在生态位收缩和丧失的风险,其中云杉和落叶松的分布呈现出”西南→北部边界”及“华北→东北边界”的收缩趋势,云南、贵州、广东和江西部分地区白桦的适宜栖息地将完全消失。上述研究结果为科学制定中国森林保护策略和林业区划规划方案提供重要依据。

关键词: 气候变化, 优势树种, 最大熵模型, 地理分布, 适生区