基于MaxEnt模型模拟肯尼亚茜草科河骨木属植物的潜在分布及其在植物志中的应用初探

周亚东; Mwangi Brian Njoroge; Ndungu John Mbari; 王生位; 胡光万; 王青锋

doi:10.11913/PSJ.2095-0837.2020.50636

基于MaxEnt模型模拟肯尼亚茜草科河骨木属植物的潜在分布及其在植物志中的应用初探

1. 中国科学院武汉植物园, 武汉 430074;
2. 中国科学院中-非联合研究中心, 武汉 430074;
3. 中国科学院大学, 北京 100049

基金项目:

中国科学院中-非联合研究中心项目（Y323771W07，SAJC201322）。

详细信息

作者简介:
周亚东(1987-),男,博士,副研究员,研究方向为植物经典分类和多样性格局(E-mail:zhouyd@wbgcas.cn)。

通讯作者:
胡光万,E-mail:guangwanhu@wbgcas.cn

王青锋,E-mail:qfwang@wbgcas.cn

中图分类号: Q948;949.781.1
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- 文章访问数: 560
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- PDF下载量: 503
出版历程
- 收稿日期: 2020-01-18
- 修回日期: 2020-04-14
- 网络出版日期: 2022-10-31
- 发布日期: 2020-10-27

Simulating potential distribution of Afrocanthium (Rubiaceae) in Kenya based on MaxEnt and its application in the Flora of Kenya

1. Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China;
2. Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan 430074, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China

Funds:

This work was supported by grants from the Sino-Africa Joint Research Center, CAS, China (Y323771W07, SAJC201322).

摘要

摘要: 物种分布模型目前被广泛应用于生物学、生态学和保护生物学的各个领域。该文以肯尼亚茜草科河骨木属（Afrocanthium ）为例，利用最大熵模型（MaxEnt）模拟植物在当前气候情景下的潜在分布，并将这些分布图利用于正在编写的《肯尼亚植物志》中。结果显示，基于足够的原始标本记录，模型能够很好地模拟出每种植物的潜在分布区域。相比传统和新一代植物志仅提供标本信息点或是粗略分布图，《肯尼亚植物志》预采用的潜在分布图，将为志书使用者提供更加全面、实用的信息。
- 物种分布模型 /
- 气候因子 /
- MaxEnt模型 /
- 肯尼亚植物志
Abstract: Species distribution models are widely used in the fields of biology, ecology, and conservation biology. Taking Afrocanthium of Rubiaceae in Kenya as an example, this paper briefly introduces the potential distribution of plants under current climate scenarios using the maximum entropy model (MaxEnt), and the possible use of these distribution maps in the forthcoming Flora of Kenya. Results showed that the model well simulated the potential distribution areas of each species based on sufficient original sample records. Compared with traditional and next-generation Floras, which only provide sample information points or rough distribution maps, the potential distribution maps, which will be used in the upcoming Flora of Kenya, will provide more comprehensive and practical information.
- Species distribution models /
- Climate factors /
- MaxEnt /
- Flora of Kenya

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参考文献(39)

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