Sinclair James S, Buchner Dominik, Gessner Mark O, Müller Jörg, Pauls Steffen U, Stoll Stefan, Welti Ellen A R, Bässler Claus, Buse Jörn, Dziock Frank, Enss Julian, Hörren Thomas, Künast Robert, Li Yuanheng, Marten Andreas, Morkel Carsten, Richter Ronny, Seibold Sebastian, Sorg Martin, Twietmeyer Sönke, Weis Dirk, Weisser Wolfgang, Wiggering Benedikt, Wilmking Martin, Zotz Gerhard, Frenzel Mark, Leese Florian, Haase Peter
Department of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.
Aquatic Ecosystem Research, University of Duisburg-Essen, Essen, Germany.
Conserv Biol. 2025 Aug;39(4):e14425. doi: 10.1111/cobi.14425. Epub 2024 Dec 4.
Widespread insect losses are a critical global problem. Mitigating this problem requires identifying the principal drivers across different taxa and determining which insects are covered by protected areas. However, doing so is hindered by missing information on most species owing to extremely high insect diversity and difficulties in morphological identification. To address this knowledge gap, we used one of the most comprehensive insect DNA metabarcoding data sets assembled (encompassing 31,846 flying insect species) in which data were collected from a network of 75 Malaise traps distributed across Germany. Collection sites encompass gradients of land cover, weather, and climate, along with differences in site protection status, which allowed us to gain broader insights into how insects respond to these factors. We examined changes in total insect biomass, species richness, temporal turnover, and shifts in the composition of taxa, key functional groups (pollinators, threatened species, and invasive species), and feeding traits. Lower insect biomass generally equated to lower richness of all insects and higher temporal turnover, suggesting that biomass loss translates to biodiversity loss and less stable communities. Spatial variability in insect biomass and composition was primarily driven by land cover, rather than weather or climate change. As vegetation and land-cover heterogeneity increased, insect biomass increased by 50% in 2019 and 56% in 2020 and total species richness by 58% and 33%, respectively. Similarly, areas with low-vegetation habitats exhibited the highest richness of key taxa, including pollinators and threatened species, and the widest variety of feeding traits. However, these habitats tended to be less protected despite their higher diversity. Our results highlight the value of heterogeneous low vegetation for promoting overall insect biomass and diversity and that better protection of insects requires improved protection and management of unforested areas, where many biodiversity hotspots and key taxa occur.
昆虫数量的广泛减少是一个严峻的全球性问题。缓解这一问题需要确定不同分类群的主要驱动因素,并确定哪些昆虫受到保护区的覆盖。然而,由于昆虫多样性极高以及形态鉴定困难,大多数物种的信息缺失阻碍了这一工作的开展。为了填补这一知识空白,我们使用了已收集的最全面的昆虫DNA元条形码数据集之一(涵盖31,846种飞行昆虫物种),这些数据是从分布在德国的75个马氏网诱捕器网络中收集的。收集地点涵盖了土地覆盖、天气和气候的梯度变化,以及地点保护状态的差异,这使我们能够更广泛地了解昆虫如何对这些因素做出反应。我们研究了昆虫总生物量、物种丰富度、时间周转率的变化,以及分类群、关键功能群(传粉者、受威胁物种和入侵物种)的组成变化和取食特征的变化。较低的昆虫生物量通常等同于所有昆虫较低的丰富度和较高的时间周转率,这表明生物量的损失转化为生物多样性的损失和群落稳定性的降低。昆虫生物量和组成的空间变异性主要由土地覆盖驱动,而不是天气或气候变化。随着植被和土地覆盖异质性的增加,2019年昆虫生物量增加了50%,2020年增加了56%,总物种丰富度分别增加了58%和33%。同样,低植被栖息地的关键分类群(包括传粉者和受威胁物种)丰富度最高,取食特征种类也最多。然而,尽管这些栖息地具有较高的多样性,但它们往往受到的保护较少。我们的研究结果凸显了异质性低植被对于促进昆虫总体生物量和多样性的价值,并且更好地保护昆虫需要改善对未造林地区的保护和管理,许多生物多样性热点地区和关键分类群都出现在这些地区。