基于优化MaxEnt模型的黒籽重楼潜在适生区预测

    Prediction of potential suitable areas for Paris thibetica based on the optimized MaxEnt model

    • 摘要:
      目的 预测黒籽重楼的潜在适生区,探讨影响黒籽重楼Paris thibetica分布的主要环境因子,分析潜在适生区空间分布格局及质心迁移趋势。
      方法 利用优化的MaxEnt模型基于19个环境因子和143个分布点数据预测当前和未来4个时期(2030s、2050s、2070s、2090s)不同气候条件下的潜在分布区。
      结果 最优化的模型参数组合为RM=0.5,FC=LQ,MaxEnt模型预测精度较高,AUC=0.930。温度季节性变化标准差、最冷月最低温、年温变化范围、年平均降水量和最冷季平均降水量是影响黒籽重楼的主要环境因子,累计贡献率达75.6%。当前气候变化背景下,黒籽重楼的总适生区面积为235.14 × 104 km2,占中国陆地总面积的24.49%,集中于云贵川藏交界及湘鄂闽等区域;未来适生区呈“西缩东退”格局,SSP5-8.5情景下2090s面积仅为当前48.30%,高适生区向高山峡谷收缩;质心沿横断山脉向西北(SSP1-2.6)或藏东南(SSP5-8.5)迁移;
      结论 黑籽重楼生态位受温湿协同调控,未来气候变暖将加剧适生区破碎化,横断山脉可能成为重要气候避难所。研究结果为黑籽重楼就地保护、迁地保育及种质资源库建设提供科学依据。

       

      Abstract:
      Objective To predict the potential suitable area of Paris thibetica under the current and future conditions, explore the main environmental factors influencing its distribution, and analyze the spatial distribution pattern and the trend of the centroid transfer.
      Method The optimized MaxEnt model was used to predict the potential distribution areas under different climate conditions in the current and future four periods (2030s, 2050s, 2070s, 2090s) based on 19 environmental factors and data of 143 distribution sites.
      Result The optimal model parameter combination was RM=0.5 and FC=LQ. The prediction accuracy of MaxEnt model was relatively high, with AUC=0.930. The standard deviation of temperature seasonal variation, the minimum temperature of the coldest month, the annual temperature range, the annual average precipitation, and the average precipitation of the coldest quarter were the main environmental factors affecting the distribution of P. thibetica, with a cumulative contribution rate of 75.6%. Under the current climate background, the total suitable habitat area of P. thibetica was 235.14 × 104 km2, accounting for 24.49% of China’s total land area, and these habitats were concentrated in the border areas of Yunnan, Guizhou, Sichuan and Tibet, as well as in Hunan, Hubei, Fujian and other regions. In the future, the suitable habitats showed a pattern of “shrinking westward and retreating eastward”. Under the SSP5-8.5 scenario, the area of suitable habitats in the 2090s was only 48.30% of the current level, and the highly suitable habitats contracted toward alpine valleys. The centroid of suitable habitats migrated northwestward along the Hengduan Mountains under the SSP1-2.6 scenario, or toward southeastern Tibet under the SSP5-8.5 scenario.
      Conclusion The ecological niche of P. thibetica is synergistically regulated by temperature and humidity variables. Projected climate warming will exacerbate suitable habitat fragmentation, with the Hengduan Mountains potentially functioning as a critical climatic refugium. These findings provide a robust scientific basis for P. thibetica’s in-situ conservation, ex-situ conservation and germplasm resource bank establishment.

       

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