种间作用对物种分布模拟的影响及建模方法

doi:10.13287/j.1001-9332.202202.024

摘要/Abstract

摘要： 物种分布模型(SDMs)通过量化物种分布和环境变量之间的关系,并将其外推到未知的景观单元,模拟、预测地理空间中生物的潜在分布,是生态学、生物地理学、保护生物学等研究领域的重要工具。然而,目前物种分布模型主要采用非生物因素作为预测变量,由于数据量化和建模表达困难,生物因素特别是种间作用在物种分布模型中常被忽略,将种间作用纳入物种分布模型被认为是当前物种分布建模面临的主要挑战。鉴于此,本文综述了种间作用对物种分布模拟的影响,明确了种间作用纳入物种分布模型的必要性,总结了目前物种分布模型纳入种间作用的4种主要途径及其优缺点,并论述了纳入种间作用的物种分布模型的未来发展方向。研究认为,将种间作用纳入物种分布模型的首要条件是要确保物种分布模拟的空间尺度和种间作用发生的空间尺度一致,且训练数据应涵盖较大的环境异质空间以确保种间作用在异质生境中的多样性;为了消除多重共线性对物种分布模型预测的影响,所有的非生物、生物因素都应充分考虑且准确量化;同时指出,描述种群/群落动态是将种间作用纳入物种分布模型的重要发展方向。

关键词: 种间关系, 物种分布模型, 种间关系模型, 联合物种分布模型, 种间作用分布模型

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.

Key words: species interaction, species distribution model, species interaction model, joint species distribution model, species interaction distribution model

王彦阁, 张博冉, 赵瑞. 种间作用对物种分布模拟的影响及建模方法[J]. 应用生态学报, 2022, 33(3): 837-843.

WANG Yan-ge, ZHANG Bo-ran, ZHAO Rui. Influence of species interaction on species distribution simulation and modeling methods.[J]. Chinese Journal of Applied Ecology, 2022, 33(3): 837-843.

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