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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

谢静, 段妮杉, 孔莉洁, 徐瑞漪, 安若玉, 周利娟

谢静, 段妮杉, 孔莉洁, 等. 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[J]. 华南农业大学学报, 2025, 46(4): 1-10.
引用本文: 谢静, 段妮杉, 孔莉洁, 等. 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[J]. 华南农业大学学报, 2025, 46(4): 1-10.
XIE Jing, DUAN Nishan, KONG Lijie, et al. Prediction the potential suitable areas of Tithonia diversifolia A. Gray and Synedrella nodiflora (L.) Gaertn. in China based on the optimized MaxEnt model[J]. Journal of South China Agricultural University, 2025, 46(4): 1-10.
Citation: XIE Jing, DUAN Nishan, KONG Lijie, et al. Prediction the potential suitable areas of Tithonia diversifolia A. Gray and Synedrella nodiflora (L.) Gaertn. in China based on the optimized MaxEnt model[J]. Journal of South China Agricultural University, 2025, 46(4): 1-10.

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

基金项目: 

广东省农业领域共性关键技术研发创新团队岗位专家项目 (2019KJ134)

详细信息
    作者简介:

    谢 静,E-mail: 3463431402@qq.com

    通讯作者:

    周利娟,主要从事入侵杂草防控及植物源除草剂等方面研究,E-mail: zhoulj@scau.edu.cn

  • 中图分类号: S451

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.

  • 图  1   肿柄菊(a)和金腰箭(b)生态位模型预测结果

    Figure  1.   The prediction results of niche model of Tithonia diversifolia A. Gray (a) and Synedrella nodiflora (L.) Gaertn (b)

    图  2   环境变量重要性的刀切法检验结果

    Figure  2.   Results of Jackknife method for the importance of the environmental variables

    图  3   环境因子响应曲线

    Figure  3.   Environmental factor response curve

    图  4   肿柄菊(a)和金腰箭(b)在中国的当前适生区

    Figure  4.   Current suitable areas of Tithonia diversifolia A. Gray (a) and Synedrella nodiflora (L.) Gaertn (b) in China

    图  5   4种气候情景模式下肿柄菊(a~d)和金腰箭(e~h)在中国的适生区

    Figure  5.   Suitable areas of Tithonia diversifolia A. Gray (a-d) and Synedrella nodiflora (L.) Gaertn (e-h) in China under four climate scenarios

    表  1   环境变量因子

    Table  1   Environmental variable factors

    变量 Variable 描述 Description 变量 Variable 描述 Description
    bio01 年平均温度 elev 高程海拔
    bio02 昼夜温差月均值 slope 坡度
    bio03 等温性 aspect 坡向
    bio04 温度季节变化标准差 awc_class 土壤有效含水量
    bio05 最暖月最高温 t_bs 表层土壤容重
    bio06 最冷月最低温 t_CaCO3 表层碳酸钙含量
    bio07 年均温度变化范围 t_CaSO4 表层硫酸钙含量
    bio08 最湿季度平均温度 t_cec_soil 表层土壤阳离子交换能力
    bio09 最干季度平均温度 t_clay 表层黏土含量
    bio10 最暖季度平均温度 t_ece 表层盐分含量
    bio11 最冷季度平均温度 t_esp 表层碱分含量
    bio12 年均降水量 t_gravel 表层土壤砾石含量
    bio13 最湿月降水量 t_oc 表层有机碳含量
    bio14 最干月降水量 t_pH_H2O 表层酸碱度
    bio15 季节降水量变异系数 t_sand 表层底层沙含量
    bio16 最湿季度降水量 t_silt 表层粉沙粒含量
    bio17 最干季度降水量 t_teb 表层交换性盐基
    bio18 最暖季度降水量 t_usda_tex_class 表层Usda土壤质地分类
    bio19 最冷季度降水量
    下载: 导出CSV

    表  2   不同时期气候情景下肿柄菊和金腰箭在中国的潜在适生区面积

    Table  2   Potential suitable areas of Tithonia diversifolia A. Gray and Synedrella nodiflora (L.) Gaertn in China under different climate scenarios in different periods ×104 km2

    物种
    Species
    时期
    Tperiod
    气候情景
    Climate scenario
    低适生区
    Low suitable areas
    中适生区
    Middle suitable areas
    高适生区
    High suitable areas
    总适生区
    Total suitable area
    肿柄菊
    Tithonia diversifolia
    A. Gray
    当前
    Current period
    - 78.43 42.46 31.83 152.72
    2040s SSP1-2.6 145.34 51.93 38.62 235.89
    2040s SSP2-4.5 147.99 52.50 35.91 236.40
    2040s SSP3-7.0 142.08 51.60 36.98 230.67
    2040s SSP5-8.5 142.18 50.33 37.23 229.74
    金腰箭
    Synedrella nodiflora
    L. Gaertn.
    当前
    Current period
    - 160.37 56.49 33.82 250.68
    2040s SSP1-2.6 146.40 123.85 93.78 364.03
    2040s SSP2-4.5 73.23 35.04 19.84 128.11
    2040s SSP3-7.0 145.16 54.02 54.99 254.17
    2040s SSP5-8.5 178.97 39.65 26.29 244.92
    下载: 导出CSV
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