Pitteloud Camille, Defossez Emmanuel, Albouy Camille, Descombes Patrice, Rasmann Sergio, Pellissier Loïc
Department of Environmental Systems Science, Ecosystems and Landscape Evolution, Institute of Terrestrial Ecosystems, ETH Zürich, Zürich, Switzerland.
Unit of Land Change Science, Swiss Federal Research Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland.
Mol Ecol. 2023 Dec;32(23):6436-6448. doi: 10.1111/mec.16545. Epub 2022 Jun 20.
Understanding the ecological rules structuring the organization of species interactions is a prerequisite to predicting how ecosystems respond to environmental changes. While the ecological determinants of single networks have been documented, it remains unclear whether network ecological rules are conserved along spatial and environmental gradients. To address this gap, we reconstructed 48 plant-herbivore interaction networks along six elevation gradients in the Central European Alps in Switzerland, using DNA metabarcoding on orthoptera faeces. We developed hypotheses on the ecological mechanisms expected to structure interaction networks, based on plant phylogeny, plant abundance, leaf toughness, leaf nitrogen content and plant metabolomics. We show that plant phylogenetic relationships and species abundance have the greatest explanatory power regarding the structure of the ecological networks. Moreover, we found that leaf nitrogen content is a key determinant of interactions in warmer environments, while phenolic compounds and tannins are more important in colder environments, suggesting that determinants of species interactions can shift along environmental gradients. With this work, we propose an approach to study the mechanisms that structure the way species interact with each other between bioregions and ecosystems.
理解构建物种相互作用组织的生态规则是预测生态系统如何响应环境变化的前提条件。虽然单个网络的生态决定因素已有记录,但网络生态规则是否沿空间和环境梯度保持不变仍不清楚。为了填补这一空白,我们利用对直翅目粪便进行DNA宏条形码分析,在瑞士中欧阿尔卑斯山沿六个海拔梯度重建了48个植物-食草动物相互作用网络。我们基于植物系统发育、植物丰度、叶片韧性、叶片氮含量和植物代谢组学,对预期构建相互作用网络的生态机制提出了假设。我们表明,植物系统发育关系和物种丰度对生态网络结构具有最大的解释力。此外,我们发现叶片氮含量是温暖环境中相互作用的关键决定因素,而酚类化合物和单宁在寒冷环境中更重要,这表明物种相互作用的决定因素可以沿环境梯度发生变化。通过这项工作,我们提出了一种方法来研究构建生物区域和生态系统之间物种相互作用方式的机制。