基于优化MaxEnt模型的入侵杂草肿柄菊和金腰箭在中国的潜在适生区预测

    Prediction the potential suitable areas of Tithonia diversifolia A. Gray and Synedrella nodiflora (L.) Gaertn. in China based on the optimized MaxEnt model

    • 摘要:
      目的 研究外来入侵杂草肿柄菊Tithonia diversifolia A. Gray和金腰箭Synedrella nodiflora L. Gaertn.在中国的当前适生区和潜在适生区,以及影响肿柄菊和金腰箭分布的主要环境变量,为这2种杂草的入侵监测和掌握其扩散分布规律提供理论参考。
      方法 对物种分布数据进行拟合分析,对环境变量进行相关性分析,使用ENMeval对物种分布数据进行模型优化,将得到的分布数据、环境变量、正则化参数 (Regularization multiplier, RM)和特征组合参数 (Feature combination multiplier, FC)导入MaxEnt进行分布预测,然后用ArcGIS得到当前及潜在分布适生区。
      结果 温度季节变化标准差、最冷季度平均温度是影响肿柄菊分布的主要环境变量,贡献率之和为70.8%;年均温度变化范围、年均降水量、最湿月降水量是影响金腰箭分布的主要环境变量,贡献率之和达76.7%。这2种植物的中高适生区位于我国西藏南部、云南、广西、广东、福建、海南、台湾。
      结论 已成功入侵中国的肿柄菊和金腰箭目前主要分布在中国南部热带、亚热带一些区域,预测有向内陆逐步扩张的趋势,对此要加强防范。

       

      Abstract:
      Objective This paper aims to study the current and the potential suitable areas of the invasive alien weeds Tithonia diversifolia A. Gray and Synedrella nodiflora (L.) Gaertn. in China, and to explore the main environmental variables affecting the distribution of these two plants. It provides a theoretical reference for the invasion monitoring of these two invasive weeds and for mastering their diffusion and distribution patterns.
      Method Fit analysis on the species distribution data and correlation analysis on the environmental variables were employed, and ENMeval was used to optimize the model of the species distribution data. The obtained distribution data, environmental variables, regularization multiplier (RM) and feature combination (FC) parameters were imported into MaxEnt for distribution prediction. Then, ArcGIS was used to obtain the current and potential suitable distribution areas.
      Result The standard deviation of seasonal temperature change and the average temperature in the coldest quarter were the main environmental variables affecting the distribution of T. diversifolia, and the sum of their contribution rates reached 70.8%. The range of annual average temperature change, annual average precipitation and precipitation in the wettest month were the main environmental variables affecting the distribution of S. nodiflora, with the sum of their contribution rates reaching 76.7%. The moderate and high suitable areas of these two plants were distributed in southern Tibet, Yunnan, Guangxi, Guangdong, Fujian, Hainan and Taiwan of China.
      Conclusion Both T. diversifolia and S. nodiflora. have successfully invaded China, and are currently mainly distributed in some tropical and subtropical areas in southern China. It is predicted that they have a trend of gradually expanding towards the inland. Therefore, stronger precautions should be taken against their invasion.

       

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