A general framework for quantitatively assessing ecological stochasticity
Daliang Ning, Ye Deng, James M. Tiedje, Jizhong Zhou
State Key Joint Laboratory of Environment Simulation and Pollution Control University of Oklahoma Tsinghua University Shandong University
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摘要与影响
Significance An ecological community is a dynamic complex system with a myriad of interacting species, which are controlled by various scale-dependent deterministic and stochastic forces. With rapid advances in genomics technologies, categorizing biological diversity, particularly microbial diversity, becomes relatively easy, but the great challenge is to disentangle the mechanisms controlling biological diversity. The general null model-based framework developed in this study provides an effective and robust tool to ecologists for quantitatively assessing ecological stochasticity. By highlighting the caveats such as model selection, similarity metrics, and spatial scales, this study provides guidance for appropriate use of null model-based approaches for examining community assembly processes. Although this framework was tested with microbial data, it should also be applicable to plant and animal ecology.
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物理Microbial Community Ecology and Physiology
Evolution and Genetic Dynamics · Gut microbiota and health
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