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演替包括一系列由阈限诱导的群落组装过程,朝着多维度方向发展。

Succession comprises a sequence of threshold-induced community assembly processes towards multidiversity.

机构信息

Department of Environment and Biodiversity, Paris Lodron University Salzburg, 5020, Salzburg, Austria.

Evolutionary Ecology of Plants, Department of Biology, Philipps-University Marburg, 35043, Marburg, Germany.

出版信息

Commun Biol. 2022 May 6;5(1):424. doi: 10.1038/s42003-022-03372-2.

Abstract

Research on successions and community assembly both address the same processes such as dispersal, species sorting, and biotic interactions but lack unifying concepts. Recent theoretical advances integrated both research lines proposing a sequence of stochastic and deterministic processes along successional gradients. Shifts in ecosystem states along successional gradients are predicted to occur abruptly once abiotic and biotic factors dominate over dispersal as main driver. Considering the multidiversity composed of five organismal groups including plants, animals, and microbes, our results imply that stochastic, likely dispersal-dominated, processes are replaced by rather deterministic processes such as environmental filtering and biotic interactions after around 60 years of succession in a glacier forefield. The niche-based character of later successional processes is further supported by a decline in multi-beta-diversity. Our results may update concepts of community assembly by considering multiple taxa, help to bridge the gap between research on successions and community assembly, and provide insights into the emergence of multidiverse and complex ecosystems.

摘要

演替和群落组装的研究都涉及到相同的过程,如扩散、物种分选和生物相互作用,但缺乏统一的概念。最近的理论进展整合了这两条研究路线,提出了沿着演替梯度的一系列随机和确定性过程。一旦生物和非生物因素主导扩散成为主要驱动力,预计沿演替梯度的生态系统状态的转变将突然发生。考虑到由包括植物、动物和微生物在内的五个生物群组成的多维多样性,我们的结果表明,在冰川前缘大约 60 年的演替之后,随机的、可能以扩散为主导的过程被环境过滤和生物相互作用等更确定性的过程所取代。在后续演替过程中,基于生态位的特征进一步支持了多β多样性的下降。我们的研究结果可能通过考虑多个分类群更新群落组装的概念,有助于弥合演替和群落组装研究之间的差距,并为多维和复杂生态系统的出现提供新的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab7e/9076875/6e17594a2959/42003_2022_3372_Fig1_HTML.jpg

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