Table 1_Climate-driven redistribution of essential oil chemotypes in Camphora officinarum: MaxEnt-based habitat projections and conservation priorities for Southern China (2021–2080).xlsx

Camphora officinarum Nees, is a significant economic tree indigenous to southern China. Despites of previous efforts, ecological niches of C. officinarum remain unclear with few sampling and neglectance of chemotypes. In the present study, new efforts have been made to investigate the integrated C. officinarum and its four chemotypes based on 546 occurances using utilizing MaxEnt model from 2021 to 2080.The findings indicate that highly suitable regions for the integrated C. officinarum are projected to diminish between 2021 and 2080, resulting in habitat fragmentation. The climatic variables influencing this are the annual mean precipitation (bio12), the minimum temperature of the coldest month (bio6), the mean precipitation during the warmest month (bio18), and the annual mean temperature (bio1). Furthermore, the regions highly suitable for each chemotype of C. officinarum are anticipated to undergo shifts and diversification from 2021 to 2080, with the primary factors driving these changes being the maximum precipitation in the driest month (bio14) and elevation. The study proposes conservation strategies at the end, furnishing a foundation for conservation and domestication of C. officinarum in South China.

香樟（Camphora officinarum Nees）是中国南方本土的重要经济树种。尽管已有前期研究尝试，但其生态位仍未明确，存在采样不足且忽略化学型（chemotype）影响的问题。本研究基于2021至2080年的546条分布记录，利用MaxEnt模型对香樟及其4种化学型展开综合研究。研究结果表明，到2080年，香樟整体的高度适宜分布区将呈缩减趋势，进而引发生境破碎化。影响其分布的核心气候因子包括年平均降水量（bio12）、最冷月份最低气温（bio6）、最热月份平均降水量（bio18）以及年平均气温（bio1）。此外，香樟各化学型的高度适宜分布区预计在2021至2080年间发生迁移与分化，驱动此类变化的主要因子为最干月最大降水量（bio14）与海拔。本研究最后提出针对性保护策略，可为中国南方地区香樟的保护与驯化工作提供理论支撑。