School of Biological Sciences, University of Bristol, Bristol, UK.
Biosciences Institute, University of Sao Paulo, Sao Paulo, Brazil.
J Anim Ecol. 2021 Sep;90(9):2109-2121. doi: 10.1111/1365-2656.13547. Epub 2021 Jun 16.
Understanding the processes driving ecological resilience, that is the extent to which systems retain their structure while absorbing perturbations, is a central challenge for theoretical and applied ecologists. Plant-insect assemblages are well-suited for the study of ecological resilience as they are species-rich and encompass a variety of ecological interactions that correspond to essential ecosystem functions. Mechanisms affecting community response to perturbations depend on both the natural history and structure of ecological interactions. Natural history attributes of the interspecific interactions, for example whether they are mutualistic or antagonistic, may affect the ecological resilience by controlling the demographic feedbacks driving ecological dynamics at the community level. Interaction generalisation may also affect resilience, by defining opportunities for interaction rewiring, the extent to which species are able to switch interactions in fluctuating environments. These natural history attributes may also interact with network structure to affect ecological resilience. Using adaptive network models, we investigated the resilience of plant-pollinator and plant-herbivore networks to species loss. We specifically investigated how fundamental natural history differences between these systems, namely the demographic consequences of the interaction and their level of generalisation-mediating rewiring opportunities-affect the resilience of dynamic ecological networks to extinctions. We also create a general benchmark for the effect of network structure on resilience simulating extinctions on theoretical networks with controlled structures. When network structure was static, pollination networks were less resilient than herbivory networks; this is related to their high levels of nestedness and the reciprocally positive feedbacks that define mutualisms, which made co-extinction cascades more likely and longer in plant-pollinator assemblages. When considering interaction rewiring, the high generalisation and the structure of pollination networks boosted their resilience to extinctions, which approached those of herbivory networks. Simulation results using theoretical networks suggested that the empirical structure of herbivory networks may protect them from collapse. Elucidating the ecological and evolutionary processes driving interaction rewiring is key to understanding the resilience of plant-insect assemblages. Accounting for rewiring requires ecologists to combine natural history with network models that incorporate feedbacks between species abundances, traits and interactions. This combination will elucidate how perturbations propagate at community level, reshaping biodiversity structure and ecosystem functions.
理解驱动生态弹性的过程,即系统在吸收干扰时保持其结构的程度,是理论和应用生态学家面临的一个核心挑战。植物-昆虫组合非常适合研究生态弹性,因为它们物种丰富,包含各种生态相互作用,这些相互作用对应于基本的生态系统功能。影响群落对干扰响应的机制取决于生态相互作用的自然历史和结构。种间相互作用的自然历史属性,例如它们是互利的还是拮抗的,可能通过控制驱动群落水平生态动态的人口反馈来影响生态弹性。相互作用的概括也可能通过定义相互作用重连的机会来影响弹性,即物种在波动环境中能够切换相互作用的程度。这些自然历史属性也可能与网络结构相互作用,影响生态弹性。我们使用自适应网络模型研究了植物-传粉者和植物-食草动物网络对物种损失的弹性。我们特别研究了这些系统之间基本的自然历史差异,即相互作用的人口后果及其介导重连机会的概括程度如何影响动态生态网络对灭绝的弹性。我们还创建了一个网络结构对弹性影响的一般基准,通过在具有受控结构的理论网络上模拟灭绝来模拟。当网络结构静态时,传粉网络的弹性比食草动物网络差;这与它们高水平的嵌套性和定义互利共生的互惠正反馈有关,这使得在植物-传粉者组合中更有可能发生共同灭绝级联,并且持续时间更长。当考虑相互作用重连时,传粉网络的高概括性和结构增强了它们对灭绝的弹性,使其接近食草动物网络的弹性。使用理论网络进行的模拟结果表明,食草动物网络的经验结构可能使其免于崩溃。阐明驱动相互作用重连的生态和进化过程是理解植物-昆虫组合弹性的关键。考虑到重连需要生态学家将自然历史与包含物种丰度、特征和相互作用之间反馈的网络模型结合起来。这种组合将阐明干扰如何在群落水平上传播,重塑生物多样性结构和生态系统功能。