Spatial complexity enhances predictability in food webs.
Spatial complexity enhances predictability in food webs.
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DOI：
10.1038/srep43440
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发表时间：
2017-02-27
影响因子：
4.6
通讯作者：
Mougi A
中科院分区：
文献类型：
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作者：
Mougi A
在生态学中，预测生态系统对环境干扰或人为控制的响应是一项具有挑战性的任务。生态学理论预测，由于复杂群落内的许多间接相互作用，干扰经常导致相互作用的物种之间产生意想不到的反应。然而，这种不确定性在自然界中似乎是不寻常的。在这里，我使用一个元社区食物网，展示了空间性是解决这种差异的关键。由于物种迁移导致的生境之间的空间耦合强度的中等水平增加了对压力扰动或可预测性的预期响应的可能性。此外，通过当地食物网的数量及其连通性来衡量，可预测性随着空间复杂性的增加而增加。元群落网络可以通过物种迁移到其他栖息地的间接途径减弱干扰的传播，从而保持对相互作用物种的预期影响。这些结果表明，由于生境破坏导致的群落隔离降低了群落的可预测性，从而使生态系统的控制复杂化。
The prediction of an ecosystem’s response to an environmental disturbance or the artificial control of ecosystems is a challenging task in ecology. Ecological theory predicts that disturbances frequently result in unexpected responses between interacting species due to the many indirect interactions within a complex community. However, such indeterminacy appears to be unusual in nature. Here using a meta-community food web, I show that spatiality is key to resolving this disparity. A moderate level of spatial coupling strength between habitats due to species migration increases the possibility of expected responses to press perturbation or predictability. Moreover, predictability increases with increasing spatial complexity, as measured by the number of local food webs and their connectivity. A meta-community network can attenuate the propagation of disturbances through indirect pathways due to species emigration to other habitats, thereby preserving the expected effect on the interacting species. These results suggest that the isolation of communities due to habitat destruction decreases the predictability of communities, thereby complicating the control of ecosystems.