Laboratoire d'Ecologie Alpine, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France.
EDYTEM, Université Savoie Mont-Blanc, CNRS, Le Bourget du Lac, France.
J Anim Ecol. 2024 Oct;93(10):1510-1523. doi: 10.1111/1365-2656.14164. Epub 2024 Aug 16.
Arthropods play a vital role in ecosystems; yet, their distributions remain poorly understood, particularly in mountainous regions. This study delves into the modelling of the distribution of 31 foliar arthropod genera in the French Alps, using a comprehensive approach encompassing multi-trophic sampling, community DNA metabarcoding and random forest models. The results underscore the significant importance of vegetation structure, such as herbaceous vegetation density, and forest density and heterogeneity, along with climate, in shaping the distributions of most arthropods. These responses to environmental gradients are consistent across trophic groups, with the exception of nectarivores, whose distributions are more sensitive to landscape structure and water availability. By leveraging community DNA metabarcoding, this study sheds light on the understudied drivers of arthropod distributions, emphasizing the importance of modelling across diverse trophic groups to anticipate arthropod responses to global change.
节肢动物在生态系统中起着至关重要的作用；然而，它们的分布仍然知之甚少，特别是在山区。本研究深入探讨了利用多营养级采样、群落 DNA metabarcoding 和随机森林模型，对法国阿尔卑斯山 31 种叶际节肢动物属的分布进行建模的方法。研究结果强调了植被结构（如草本植被密度、森林密度和异质性）以及气候对大多数节肢动物分布的重要性。这些对环境梯度的响应在各个营养组中是一致的，除了传粉媒介外，它们的分布对景观结构和水分供应更为敏感。通过利用群落 DNA metabarcoding，本研究揭示了节肢动物分布的研究不足的驱动因素，强调了在不同营养组中进行建模以预测节肢动物对全球变化的响应的重要性。
