Zhang Fen-Guo, Zhang Sanqing, Wu Kefan, Zhao Ruxia, Zhao Guanghua, Wang Yongji
College of Life Science, Shanxi Engineering Research Center of Microbial Application Technologies, Shanxi Normal University, Taiyuan, Shanxi, China.
Administrative Office, Shanwei Middle School, Shanwei, China.
Front Plant Sci. 2024 Mar 15;15:1365264. doi: 10.3389/fpls.2024.1365264. eCollection 2024.
() is one endangered and national class II key protected wild plant in China. It has ornamental, material, economic, edible and medicinal values. At present, the resources of are decreasing, and the prediction of the distribution of its potential habitat in China can provide a theoretical basis for the cultivation and rational management of this species.
In this study, the R language was used to evaluate 358 distribution records and 38 environment variables. The MaxEnt model was used to predict the potential distribution areas of under the current and future climate scenarios. The dominant environmental factors affecting the distribution of were analyzed and the Marxan model was used to plan the priority protected areas of this species.
The results showed that Bio18, Slope, Elev, Bio1, Bio9 and Bio2 were the dominant environmental factors affecting the distribution of . Under the future climatic scenarios, the potential suitable areas for will mainly distribute in the Northeast China, the total suitable area will reduce compared with the current climate scenarios, and the general trend of the centroid of suitable habitat will be towards higher latitudes. The SPF value of the best plan obtained from the priority conservation area planning was 1.1, the BLM value was 127,616, and the priority conservation area was about 57.61×10 km. The results suggested that climate, soil and topographic factors jointly affected the potential geographical distribution of , and climate and topographic factors had greater influence than soil factors.
The total suitable area of in China under different climate scenarios in the future will decrease, so more effective protection should be actively adopted.
（）是中国国家二级重点保护野生植物，具有观赏、材用、经济、食用及药用价值。目前，（）的资源量在减少，预测其在中国潜在栖息地的分布可为该物种的栽培及合理管理提供理论依据。
本研究利用R语言对358条分布记录和38个环境变量进行评估。采用最大熵模型（MaxEnt）预测（）在当前和未来气候情景下的潜在分布区域。分析影响（）分布的主导环境因子，并利用马克思an模型（Marxan）规划该物种的优先保护区。
结果表明，生物18、坡度、海拔、生物1、生物9和生物2是影响（）分布的主导环境因子。在未来气候情景下，（）的潜在适宜区主要分布在中国东北地区，适宜区总面积较当前气候情景将减少，适宜栖息地重心总体呈向高纬度移动趋势。优先保护区规划得到的最佳方案的SPF值为1.1，BLM值为127616，优先保护区面积约为57.61×10平方千米。结果表明，气候、土壤和地形因子共同影响（）的潜在地理分布，气候和地形因子的影响大于土壤因子。
未来不同气候情景下中国（）的适宜区总面积将减少，因此应积极采取更有效的保护措施。
