Data from: Wood-inhabiting fungi with tight associations with other species have declined as a response to forest management

Research on mutualistic and antagonistic networks, such as plant–pollinator and host–parasite networks, has shown that species interactions can influence and be influenced by the responses of species to environmental perturbations. Here we examine whether results obtained for directly observable networks generalize to more complex networks in which species interactions cannot be observed directly. As a case study, we consider data on the occurrences of 98 wood-inhabiting fungal species in managed and natural forests. We specifically ask if and how much the positions of wood-inhabiting fungal species within the interaction networks influence their responses to forest management. For this, we utilize a joint species distribution model that partitions variation in species occurrences among environmental (i.e. resource availability) and biotic (i.e. species-to-species associations) predictors. Our results indicate that in addition to the direct loss of resource-specialised species, forest management has indirect effects mediated through interactive associations. In particular, species with strong associative links to other species are especially sensitive to forest management.

针对植物-传粉者网络、宿主-寄生物网络等互利与拮抗网络的研究表明，物种相互作用既会受到物种对环境扰动的响应的影响，也会反过来作用于这类响应。本研究旨在探究：针对直接可观测网络所得的研究结论，能否推广至物种相互作用无法直接观测的更复杂网络中？作为案例研究，我们采用了人工林与天然林中98种木栖真菌物种的发生数据。我们具体探讨的问题为：木栖真菌物种在相互作用网络中的位置，是否会以及会在多大程度上影响其对森林经营措施的响应？为此，我们运用联合物种分布模型（joint species distribution model），该模型可将物种发生的变异拆解为环境（即资源可获得性）与生物（即物种间关联）两类预测因子的贡献。研究结果显示，除了资源特化物种的直接丧失之外，森林经营还会通过物种间的相互关联产生间接影响。尤为值得注意的是，与其他物种存在强关联联结的物种，对森林经营措施的敏感性尤为突出。