Intrinsic ecological dynamics drive biodiversity turnover in model metacommunities.
Intrinsic ecological dynamics drive biodiversity turnover in model metacommunities.
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DOI：
10.1038/s41467-021-23769-7
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发表时间：
2021-06-15
影响因子：
16.6
通讯作者：
Rossberg AG
中科院分区：
文献类型：
--
作者：
O'Sullivan JD;Terry JCD;Rossberg AG
在生态系统中经常观察到物种组成随时间的更替。它通常被解释为表明环境变化的影响。连续营业额由于纯粹的生态动力学物种的相互作用和扩散，也被称为理论上是可能的，但在自然界中的这种自主营业额的流行仍然不清楚。在这里，我们表明，所观察到的组成营业额和其他重要的宏观生态现象的模式，可以在大的空间明确的模型生态系统中再现，没有外部强迫，如环境变化或新物种入侵到模型中。我们发现，自主营业额是由生态结构不稳定的发病机制，也限制了当地的生物多样性。这些结果意味着，自主营业额作为一个广泛而重要的自然过程的潜在作用是低估，挑战假设隐含在许多观察和管理工具。量化成分变化的基线水平将大大改进生态状况评估。生态群落的变化可以由外在力量驱动，但内在种群动态驱动更替的程度仍不清楚。在这里，作者使用元生态模型来表明，以前归因于外部驱动因素的生物多样性变化可以根据内在的生态系统动态来解释。
Turnover of species composition through time is frequently observed in ecosystems. It is often interpreted as indicating the impact of changes in the environment. Continuous turnover due solely to ecological dynamics—species interactions and dispersal—is also known to be theoretically possible; however the prevalence of such autonomous turnover in natural communities remains unclear. Here we demonstrate that observed patterns of compositional turnover and other important macroecological phenomena can be reproduced in large spatially explicit model ecosystems, without external forcing such as environmental change or the invasion of new species into the model. We find that autonomous turnover is triggered by the onset of ecological structural instability—the mechanism that also limits local biodiversity. These results imply that the potential role of autonomous turnover as a widespread and important natural process is underappreciated, challenging assumptions implicit in many observation and management tools. Quantifying the baseline level of compositional change would greatly improve ecological status assessments. Change in ecological communities can be driven by extrinsic forces, but the degree to which intrinsic population dynamics drive turnover has remained unclear. Here the authors use metacommunity modelling to show that biodiversity change previously attributed to external drivers can be explained based on intrinsic ecosystem dynamics.
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