Kortmann Mareike, Chao Anne, Chiu Chun-Huo, Heibl Christoph, Mitesser Oliver, Morinière Jérôme, Bozicevic Vedran, Hothorn Torsten, Rothacher Julia, Englmeier Jana, Ewald Jörg, Fricke Ute, Ganuza Cristina, Haensel Maria, Moning Christoph, Redlich Sarah, Rojas-Botero Sandra, Tobisch Cynthia, Uhler Johannes, Zhang Jie, Steffan-Dewenter Ingolf, Müller Jörg
Chair of Conservation Biology and Forest Ecology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
National Tsing Hua University, Hsinchu, Taiwan.
Proc Biol Sci. 2025 May;292(2046):20242927. doi: 10.1098/rspb.2024.2927. Epub 2025 May 7.
Identifying key drivers of insect diversity decline in the Anthropocene remains a major challenge in biodiversity research. Metabarcoding has rapidly gained popularity for species identification, yet the lack of abundance data complicates accurate diversity metrics like sample coverage-standardized species richness. Additionally, the vast number of taxa lacks a unified phylogeny or trait database. We introduce a new workflow for metabarcoding insect data that constructs a phylogenetic tree for most insect families, standardizes sample coverage and assesses both taxonomic and phylogenetic diversity along the Hill series. Applying this workflow to Central Europe, we analysed insect diversity from 400 families across a land-use gradient. Our results show that land-use intensity significantly affects sample coverage, highlighting the necessity of biodiversity standardization. Taxonomic diversity declined by 27-44% and phylogenetic diversity by 13-29% across 39 000 operational taxonomic units, with diversity decreasing from forests to agricultural areas. When focusing on rare species communities exhibited greater phylogenetic diversity loss than taxonomic diversity, whereas dominant species experienced smaller phylogenetic losses but more pronounced declines in taxonomic diversity. Our findings underscore the detrimental effects of agriculture on insect taxa and reveal a dramatic loss of phylogenetic diversity among rare species with potential consequences for ecosystem stability.
确定人类世昆虫多样性下降的关键驱动因素仍然是生物多样性研究中的一项重大挑战。代谢条形码技术在物种识别方面迅速受到欢迎,但缺乏丰度数据使得诸如样本覆盖率标准化物种丰富度等准确的多样性指标变得复杂。此外,大量的分类单元缺乏统一的系统发育或性状数据库。我们引入了一种用于昆虫代谢条形码数据的新工作流程,该流程为大多数昆虫科构建系统发育树,标准化样本覆盖率,并沿着希尔序列评估分类学和系统发育多样性。将此工作流程应用于中欧,我们分析了400个科在土地利用梯度上的昆虫多样性。我们的结果表明,土地利用强度显著影响样本覆盖率,凸显了生物多样性标准化的必要性。在39000个操作分类单元中,分类学多样性下降了27%至44%,系统发育多样性下降了13%至29%,多样性从森林到农业地区逐渐降低。当关注稀有物种时,群落的系统发育多样性损失比分类学多样性更大,而优势物种的系统发育损失较小,但分类学多样性下降更为明显。我们的研究结果强调了农业对昆虫分类单元的有害影响,并揭示了稀有物种中系统发育多样性的巨大损失,这可能对生态系统稳定性产生影响。