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    杨芙蓉, 齐耀东, 刘海涛, 谢彩香, 宋经元. 辣木全球潜在适生区与生态特征[J]. 北京林业大学学报, 2020, 42(10): 45-54. DOI: 10.12171/j.1000-1522.20190375
    引用本文: 杨芙蓉, 齐耀东, 刘海涛, 谢彩香, 宋经元. 辣木全球潜在适生区与生态特征[J]. 北京林业大学学报, 2020, 42(10): 45-54. DOI: 10.12171/j.1000-1522.20190375
    Yang Furong, Qi Yaodong, Liu Haitao, Xie Caixiang, Song Jingyuan. Global potential suitable area and ecological characteristics of Moringa oleifera[J]. Journal of Beijing Forestry University, 2020, 42(10): 45-54. DOI: 10.12171/j.1000-1522.20190375
    Citation: Yang Furong, Qi Yaodong, Liu Haitao, Xie Caixiang, Song Jingyuan. Global potential suitable area and ecological characteristics of Moringa oleifera[J]. Journal of Beijing Forestry University, 2020, 42(10): 45-54. DOI: 10.12171/j.1000-1522.20190375

    辣木全球潜在适生区与生态特征

    Global potential suitable area and ecological characteristics of Moringa oleifera

    • 摘要:
        目的  预测辣木全球潜在适生区,并分析不同适生区的生态特征。探究不同适生区与辣木原产地的气候差异,为辣木引种和栽培管理措施提供参考。
        方法  通过国内外植物标本馆和相关研究文献得到辣木在全球的500个分布点,运用Maxent模型预测辣木在全球的潜在适生区,并基于不同时间尺度的环境因子和相关统计学方法分析不同适生区的生态特征。
        结果  辣木广泛分布于南北半球的热带、亚热带地区,北半球主要集中于南亚、东南亚、非洲西部地区。南半球主要位于非洲南部、南美洲。影响其地理分布的主要是6个环境变量,其中3个极端温度指标(最冷季度平均温度(bio11)、最冷月份最低温度(bio6)、最暖季度平均温度(bio10));一个温度变异幅度指标(温度变化方差(bio4));一个水热同步指标(最湿季度平均温度(bio8));以及一个极端水分条件(最湿季度降水量(bio16))。
        结论  辣木在全球范围内主要分布在北纬32°到南纬29°的区域,温度是影响辣木地理分布的主要环境因子。

       

      Abstract:
        Objective  This paper aims to predict the global potential distributing area and analyze the ecological features of different suitable areas for introduction and cultivation management measures of Moringa oleifera.
        Method  We predicted the potential distribution area by Maxent according to the 500 distribution points of M. oleifera, and analyzed the ecological features based on the environmental variables in different time scales and corresponding statistical method.
        Result  M. oleifera was widely distributed in tropical and subtropical areas. In the northern hemisphere, it is mainly distributed in South Asia, Southeast Asia and West Africa. In the southern hemisphere, it is largely located in South Africa, South America. The variables affecting its geographical distribution were six climate factors, including three extreme temperature indicators (mean temperature of the coldest quarter (bio11), min. temperature of the coldest month (bio6) and mean temperature of the warmest quarter (bio10)); SD of temperature seasonality (bio4) indicating the temperature variation amplitude; mean temperature of the wettest quarter (bio8) denoting the hydrothermal synchronization; precipitation of the wettest quarter (bio16) representing the extreme moisture condition.
        Conclusion  The potential distribution areas for M. oleifera were mainly located from north of 32°N to south of 29°S. Temperature is the main affecting environmental factor for M. oleifera distribution.

       

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