Sperandii Marta Gaia, Bazzichetto Manuele, Götzenberger Lars, Moretti Marco, Achury Rafael, Blüthgen Nico, Fischer Markus, Hölzel Norbert, Klaus Valentin H, Kleinebecker Till, Neff Felix, Prati Daniel, Bolliger Ralph, Seibold Sebastian, Simons Nadja K, Staab Michael, Weisser Wolfgang W, de Bello Francesco, Gossner Martin M
Centro de Investigaciones sobre Desertificación (CSIC-UV-GV), Valencia, Spain.
Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, Czech Republic.
Sci Adv. 2025 Jan 24;11(4):eadp6445. doi: 10.1126/sciadv.adp6445.
Understanding how land use affects temporal stability is crucial to preserve biodiversity and ecosystem functions. Yet, the mechanistic links between land-use intensity and stability-driving mechanisms remain unclear, with functional traits likely playing a key role. Using 13 years of data from 300 sites in Germany, we tested whether and how trait-based community features mediate the effect of land-use intensity on acknowledged stability drivers (compensatory dynamics, portfolio effect, and dominant species variability), within and across plant and arthropod communities. Trait-based plant features, especially the prevalence of acquisitive strategies along the leaf-economics spectrum, were the main land-use intensity mediators within and across taxonomic and trophic levels, consistently influencing dominant species variability. Functional diversity also mediated land-use intensity effects but played a lesser role. Our analysis discloses trait-based community features as key mediators of land-use effects on stability drivers, emphasizing the need to consider multi-trophic functional interactions to better understand complex ecosystem dynamics.
了解土地利用如何影响时间稳定性对于保护生物多样性和生态系统功能至关重要。然而，土地利用强度与稳定性驱动机制之间的机制联系仍不清楚，功能性状可能起着关键作用。利用来自德国300个地点的13年数据，我们测试了基于性状的群落特征是否以及如何在植物和节肢动物群落内部以及跨群落介导土地利用强度对公认的稳定性驱动因素（补偿动态、组合效应和优势物种变异性）的影响。基于性状的植物特征，特别是沿叶经济谱的获取性策略的普遍性，是分类和营养水平内部及跨水平的主要土地利用强度介导因素，持续影响优势物种变异性。功能多样性也介导了土地利用强度效应，但作用较小。我们的分析揭示了基于性状的群落特征是土地利用对稳定性驱动因素影响的关键介导因素，强调需要考虑多营养级功能相互作用以更好地理解复杂的生态系统动态。
