Saine Sonja, Penttilä Reijo, Fukami Tadashi, Furneaux Brendan, Hytönen Tuija, Miettinen Otto, Monkhouse Norman, Mäkipää Raisa, Pennanen Jorma, Zakharov Evgeny V, Ovaskainen Otso, Abrego Nerea
Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland.
Natural Resources Institute Finland (Luke), Helsinki, Finland.
Ecology. 2025 Feb;106(2):e70013. doi: 10.1002/ecy.70013.
Quantification of different processes affecting the assembly of ecological communities remains challenging, especially in species-rich communities. While the role of environmental filtering has generally been well established, fewer studies have experimentally shown how other ecological assembly processes, such as biotic filtering, structure species-rich communities. Here, we studied the relative roles of biotic and environmental filtering in the colonization of wood-inhabiting fungi, a species-rich, highly interactive, and environment-sensitive group of species. We conducted a field experiment where we simulated colonization with inoculations of nine fungal species in habitat patches (i.e., logs) with varying biotic and abiotic conditions. We characterized the local resident communities before the inoculations and the colonization success of the inoculated species after one and two years using DNA metabarcoding. We asked what determined the colonization success of the inoculated species by comparing the predictive performance of alternative models. These models included either only abiotic environmental predictors (i.e., physical log properties) or additionally different aspects of the resident fungal communities (i.e., resident fungal species richness, community composition, and DNA amount) as biotic predictors. While all nine species successfully colonized the logs, the rate of success and the factors explaining their colonization success varied among species. The colonization success of four of the inoculated species was explained mostly by the abiotic environmental variables, while the colonization success of three species was additionally explained by the resident communities. The influential biotic predictors varied from the presence of individual species to the collective presence of multiple species. Finally, for two of the inoculated species, all the models showed poor predictive performance. Our results indicate how environmental and biotic filtering may jointly structure species-rich communities. Overall, the results show that species vary idiosyncratically in their response to biotic and environmental factors, highlighting the need to consider the complexity of species-level responses when predicting community-level changes.
量化影响生态群落组装的不同过程仍然具有挑战性,尤其是在物种丰富的群落中。虽然环境过滤的作用总体上已得到充分确立,但较少有研究通过实验表明其他生态组装过程,如生物过滤,是如何构建物种丰富的群落的。在这里,我们研究了生物过滤和环境过滤在木生真菌定殖中的相对作用,木生真菌是一个物种丰富、高度相互作用且对环境敏感的物种群体。我们进行了一项田间实验,在具有不同生物和非生物条件的栖息地斑块(即原木)中接种九种真菌物种来模拟定殖。我们在接种前对当地的常驻群落进行了特征描述,并在一年和两年后使用DNA宏条形码技术对接种物种的定殖成功率进行了评估。我们通过比较替代模型的预测性能来探究是什么决定了接种物种的定殖成功率。这些模型要么仅包含非生物环境预测因子(即原木的物理特性),要么还包含常驻真菌群落的不同方面(即常驻真菌物种丰富度、群落组成和DNA含量)作为生物预测因子。虽然所有九个物种都成功在原木上定殖,但成功率以及解释它们定殖成功的因素在不同物种间存在差异。四个接种物种的定殖成功主要由非生物环境变量解释,而另外三个物种的定殖成功还由常驻群落解释。有影响力的生物预测因子从单个物种的存在到多个物种的共同存在各不相同。最后,对于两个接种物种,所有模型的预测性能都很差。我们的结果表明环境和生物过滤可能如何共同构建物种丰富的群落。总体而言,结果表明物种对生物和环境因素的反应具有独特性,这凸显了在预测群落水平变化时考虑物种水平反应复杂性的必要性。