• 研究论文 •

### 种间作用对物种分布模拟的影响及建模方法

1. 1内蒙古工业大学, 呼和浩特 010051;
2呼和浩特市林业和草原保护中心, 呼和浩特 010010
• 收稿日期:2021-08-10 接受日期:2021-11-04 出版日期:2022-03-15 发布日期:2022-09-15
• 通讯作者: * E-mail: 3343698@qq.com
• 作者简介:王彦阁, 女, 1983年生, 副教授。主要从事景观生态学研究。E-mail: 3343698@qq.com
• 基金资助:
国家自然科学基金项目(31901170)、内蒙古自然科学基金项目(2019MS03082)和内蒙古工业大学科研项目(BS201941)资助。

### Influence of species interaction on species distribution simulation and modeling methods.

WANG Yan-ge1*, ZHANG Bo-ran1, ZHAO Rui2

1. 1Inner Mongolia University of Technology, Hohhot 010051, China;
2Hohhot Forestry and Grassland Protection Center, Hohhot 010010, China
• Received:2021-08-10 Accepted:2021-11-04 Online:2022-03-15 Published:2022-09-15

Abstract: The species distribution models (SDMs) simulate and predict the potential distribution of species in geographical space by quantifying the relationships between species distribution and environmental variables, and extrapolating these relationships to unknown landscape units, which makes them important tools in ecology, biogeo-graphy, and conservation biology. Current SDMs mainly take abiotic factors as prediction variables, whereas biotic factors, especially species interactions, are often ignored due to the difficulties in data quantification and modeling. Incorporating species interactions into SDMs is considered as the main challenge of SDMs. We reviewed the influence of species interactions on species distribution simulations, clarified the necessity of incorporating species interactions into SDMs, summarized four main ways to incorporate species interactions into SDMs, analyzed their strengths and limitations, and discussed the future development direction of incorporating species interactions into SDMs. The study showed that incorporating species interaction into SDMs was based on the premise that the spatial scale of species distribution simulation was consistent with that of species interactions, and that the training data should be collected from large environmental heterogeneous space to ensure the diversity of species interactions in heterogeneous habitats. In order to eliminate the influence of multicollinearity on the prediction of SDMs, all abiotic and biotic factors should be fully considered and accurately quantified. Modeling the complex population/community dynamics would be an important development direction of incorporating species interactions into SDMs.