Liu Bao, Li Yinglin, Zhao Jintao, Weng Huiying, Ye Xingzhuang, Liu Shouqun, Zhao Zixin, Ahmad Sagheer, Zhan Chaoyu
Forestry College, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Hunan Yiyang City Heshan District Forestry Bureau, Yiyang 413000, China.
Plants (Basel). 2024 Aug 22;13(16):2336. doi: 10.3390/plants13162336.
, a valuable timber species in China, holds significant importance for understanding the constraints imposed by climate change on the dynamic geographic distribution of tree species. This study utilized the MaxEnt maximum entropy model to reconstruct the migratory dynamics of geographical distribution since the Last Glacial Maximum. The objective was to comprehend the restrictive mechanisms of environmental factors on its potential geographical distribution, aiming to provide insights for mid-to-long-term afforestation planning of . The optimized MaxEnt model exhibited a significantly high predictive accuracy, with an average AUC value of 0.949 ± 0.004 for the modern suitable habitat model of . The total suitable habitat area for in contemporary times was 143.05 × 10 km, with a highly suitable habitat area of 3.14 × 10 km. The contemporary suitable habitat was primarily located in the southeastern regions of China, while the highly suitable habitat was concentrated in eastern Fujian and central-eastern Taiwan. Bioclimatic variables such as mean diurnal range (Bio2), min temperature of coldest month (Bio6), precipitation of driest quarter (Bio17), and precipitation of driest month (Bio14) predominantly influenced the modern geographic distribution pattern of , with temperature factors playing a leading role. With global climate warming, there is a risk of fragmentation or even loss of suitable habitat for by 2050 and 2090. Therefore, the findings of this study can significantly contribute to initiating a habitat conservation campaign for this species.
是中国一种珍贵的木材树种,对于理解气候变化对树种动态地理分布的限制具有重要意义。本研究利用最大熵模型(MaxEnt)重建了末次盛冰期以来其地理分布的迁移动态。目的是了解环境因素对其潜在地理分布的限制机制,旨在为的中长期造林规划提供见解。优化后的MaxEnt模型显示出显著较高的预测准确性,其现代适宜栖息地模型的平均AUC值为0.949±0.004。当代的适宜栖息地总面积为143.05×10平方千米,高度适宜栖息地面积为3.14×10平方千米。当代适宜栖息地主要位于中国东南部地区,而高度适宜栖息地集中在福建东部和台湾中东部。诸如平均昼夜温差(Bio2)、最冷月最低温度(Bio6)、最干季度降水量(Bio17)和最干月降水量(Bio14)等生物气候变量主要影响了的现代地理分布格局,其中温度因素起主导作用。随着全球气候变暖,到2050年和2090年,存在适宜栖息地破碎甚至丧失的风险。因此,本研究结果可为启动该物种的栖息地保护行动做出重大贡献。