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在高山冰川前缘,植物和微生物群落相互预测的准确性沿着演替梯度而变化。

Accuracy of mutual predictions of plant and microbial communities vary along a successional gradient in an alpine glacier forefield.

作者信息

He Xie, Hanusch Maximilian, Ruiz-Hernández Victoria, Junker Robert R

机构信息

Department of Environment and Biodiversity, Paris Lodron University of Salzburg, Salzburg, Austria.

Evolutionary Ecology of Plants, Department of Biology, Philipps University of Marburg, Marburg, Germany.

出版信息

Front Plant Sci. 2023 Jan 13;13:1017847. doi: 10.3389/fpls.2022.1017847. eCollection 2022.

Abstract

Receding glaciers create virtually uninhabited substrates waiting for initial colonization of bacteria, fungi and plants. These glacier forefields serve as an ideal ecosystem for studying transformations in community composition and diversity over time and the interactions between taxonomic groups in a dynamic landscape. In this study, we investigated the relationships between the composition and diversity of bacteria, fungi, and plant communities as well as environmental factors along a successional gradient. We used random forest analysis assessing how well the composition and diversity of taxonomic groups and environmental factors mutually predict each other. We did not identify a single best indicator for all taxonomic and environmental properties, but found specific predictors to be most accurate for each taxon and environmental factor. The accuracy of prediction varied considerably along the successional gradient, highlighting the dynamic environmental conditions along the successional gradient that may also affect biotic interactions across taxa. This was also reflected by the high accuracy of predictions of plot age by all taxa. Next to plot age, our results indicate a strong importance of pH and temperature in structuring microbial and plant community composition. In addition, taxonomic groups predicted the community composition of each other more accurately than environmental factors, which may either suggest that these groups similarly respond to other not measured environmental factors or that direct interactions between taxa shape the composition of their communities. In contrast, diversity of taxa was not well predicted, suggesting that community composition of one taxonomic group is not a strong driver of the diversity of another group. Our study provides insights into the successional development of multidiverse communities shaped by complex interactions between taxonomic groups and the environment.

摘要

退缩的冰川形成了几乎无人居住的基质,等待细菌、真菌和植物的最初定殖。这些冰川前缘地带是研究群落组成和多样性随时间的变化以及动态景观中分类群之间相互作用的理想生态系统。在本研究中,我们沿着演替梯度研究了细菌、真菌和植物群落的组成与多样性以及环境因素之间的关系。我们使用随机森林分析来评估分类群的组成与多样性以及环境因素之间相互预测的程度。我们没有找到一个适用于所有分类和环境属性的最佳单一指标,但发现特定的预测指标对每个分类单元和环境因素最为准确。预测的准确性沿着演替梯度有很大差异,突出了演替梯度上动态的环境条件,这也可能影响不同分类群之间的生物相互作用。所有分类群对样地年龄的预测准确性很高也反映了这一点。除了样地年龄,我们的结果表明pH值和温度在构建微生物和植物群落组成方面非常重要。此外,分类群之间相互预测群落组成比环境因素更准确,这可能要么表明这些分类群对其他未测量的环境因素有相似的反应,要么表明分类群之间的直接相互作用塑造了它们群落的组成。相比之下,分类群的多样性没有得到很好的预测,这表明一个分类群的群落组成不是另一个分类群多样性的强大驱动因素。我们的研究为受分类群与环境之间复杂相互作用影响的多物种群落的演替发展提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f92a/9880484/7b4dc42a2eb4/fpls-13-1017847-g001.jpg

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