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.

针对互利共生与拮抗共生网络（如植物-传粉者网络、宿主-寄生物网络）的研究已证实，物种种间相互作用既能够调控物种对环境扰动的响应，同时也会受到该响应的影响。本研究旨在探究：针对可直接观测网络得到的研究结论，能否推广至物种相互作用无法直接观测的更复杂网络场景中。作为案例研究，我们采用了98种木生真菌（wood-inhabiting fungal species）在人工经营林与天然林中的发生数据。本研究的核心问题为：木生真菌物种在相互作用网络中的位置，是否以及在多大程度上会影响其对森林经营的响应。为此，我们运用联合物种分布模型（joint species distribution model），将物种发生数据的变异分解为环境（即资源可获得性）与生物（即物种种间关联）两类预测因子的贡献。研究结果表明：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种间关联介导产生间接效应。具体而言，与其他物种存在强关联的物种，对森林经营的响应尤为敏感。