A general framework for quantitatively assessing ecological stochasticity

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 116; no. 34; pp. 16892 - 16898
• Main Authors: Ning, Daliang, Deng, Ye, Tiedje, James M., Zhou, Jizhong
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 20.08.2019
• Subjects: Accuracy; Algorithms; Assembly; Background noise; Biodiversity; Biological Sciences; Communities; community assembly; Computer simulation; Ecological effects; Ecological monitoring; Ecosystem; ENVIRONMENTAL SCIENCES; Groundwater; microbial ecology; Microorganisms; Models, Biological; Oils & fats; Organic carbon; Stochastic Processes; Stochasticity; Vegetable oils; Vegetables; microbial ecology; stochasticity; community assembly

Understanding the community assembly mechanisms controlling biodiversity patterns is a central issue in ecology. Although it is generally accepted that both deterministic and stochastic processes play important roles in community assembly, quantifying their relative importance is challenging. Here w...