Pyrodiversity promotes interaction complementarity and population resistance
Pyrodiversity promotes interaction complementarity and population resistance
复制标题
火多样性促进相互作用互补性和种群抵抗力
DOI：
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发表时间：
2020
影响因子：
2.6
通讯作者：
Lauren C. Ponisio
中科院分区：
文献类型：
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作者：
Lauren C. Ponisio
摘要 理论预测，网络特征可能有助于预测人口和社区如何应对极端气候事件，但当地环境背景也可能影响对极端事件的反应。例如，许多生态系统中火灾状况的改变可能会显着影响物种和群落应对气候变化的环境。在这项研究中，我测试了传粉昆虫群落对极端干旱的反应是否受到周围火灾历史多样性（火多样性）的影响，这可以通过改变合作伙伴的可用性来影响它们的相互作用网络。我发现在群落层面，热多样性景观促进了功能互补和泛化，但并没有始终如一地增强功能冗余或对模拟共灭绝级联的抵抗力。相反，火多样性支持灵活的行为，使种群能够抵抗扰动。具体来说，可以转移伙伴和网络生态位的传粉媒介能够更好地利用焦多样性产生的异质性，从而缓冲传粉媒介种群免受植物丰度变化的影响。这些发现表明，高温多样性不太可能提高社区层面的干旱抵抗力，而是促进种群抵抗力和社区功能。这项研究提供了独特的证据，证明对极端气候事件的抵抗力取决于网络特性和历史环境背景。
Abstract Theory predicts that network characteristics may help anticipate how populations and communities respond to extreme climatic events, but local environmental context may also influence responses to extreme events. For example, altered fire regimes in many ecosystems may significantly affect the context for how species and communities respond to changing climate. In this study, I tested whether the responses of a pollinator community to extreme drought were influenced by the surrounding diversity of fire histories (pyrodiversity) which can influence their interaction networks via changing partner availability. I found that at the community level, pyrodiverse landscapes promote functional complementarity and generalization, but did not consistently enhance functional redundancy or resistance to simulated co‐extinction cascades. Pyrodiversity instead supported flexible behaviors that enable populations to resist perturbations. Specifically, pollinators that can shift partners and network niches are better able to take advantage of the heterogeneity generated by pyrodiversity, thereby buffering pollinator populations against changes in plant abundances. These findings suggest that pyrodiversity is unlikely to improve community‐level resistance to droughts, but instead promotes population resistance and community functionality. This study provides unique evidence that resistance to extreme climatic events depends on both network properties and historical environmental context.