Forest structural diversity is linked to soil microbial diversity
Forest structural diversity is linked to soil microbial diversity
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DOI：
10.1002/ecs2.4702
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发表时间：
2023-11-01
期刊：
影响因子：
2.7
通讯作者：
Fei，Songlin
中科院分区：
文献类型：
--
作者：
Lang，Ashley K.;Larue，Elizabeth A.;Fei，Songlin
对全球生物多样性进行编目的努力往往集中在地上分类多样性上，对地下社区的考虑有限。然而，地上生物多样性可能影响地下生物多样性，反之亦然。除了分类多样性，植物群落的结构多样性可能与土壤细菌和真菌群落的多样性有关，这些细菌和真菌群落驱动着重要的生态系统过程，但难以在广泛的空间尺度上表征。在森林中，冠层结构多样性可能会通过其对生态系统生产力和根系结构的影响，以及冠层结构、林分年龄和物种丰富度之间的联系来影响土壤微生物。鉴于结构多样性是少数几种可以容易地远程测量的多样性类型之一（例如，利用光探测和测距（激光雷达），在结构多样性和微生物多样性之间建立联系，可以促进地下生物多样性热点的探测。我们调查了利用遥感信息森林结构多样性作为土壤微生物群落丰富度和组成的预测的潜力。我们计算了来自美国印第安纳州中部硬木地区38个森林样地的结构多样性的LiDAR衍生指标以及一套林分和土壤特性，以测试森林冠层结构是否与四个关键土壤微生物群体的群落丰富度和多样性有关：细菌，真菌，丛枝菌根（AM）真菌和外生菌根（EM）真菌。我们发现，冠层植被的密度与EM真菌的分类丰富度（α多样性）呈正相关，独立于植物分类丰富度的变化。此外，结构多样性指标显着相关的细菌，EM和总真菌群落的整体社区组成。然而，土壤性质的微生物群落的结构多样性和树种多样性相比，在分类丰富度和社区组成的变化是最强的预测。随着遥感工具和算法的迅速发展，这些结果可能会有重要的影响，利用遥感植被结构多样性的管理和恢复的做法，旨在保护地下生物多样性。
Efforts to catalog global biodiversity have often focused on aboveground taxonomic diversity, with limited consideration of belowground communities. However, diversity aboveground may influence the diversity of belowground communities and vice versa. In addition to taxonomic diversity, the structural diversity of plant communities may be related to the diversity of soil bacterial and fungal communities, which drive important ecosystem processes but are difficult to characterize across broad spatial scales. In forests, canopy structural diversity may influence soil microorganisms through its effects on ecosystem productivity and root architecture, and via associations between canopy structure, stand age, and species richness. Given that structural diversity is one of the few types of diversity that can be readily measured remotely (e.g., using light detection and ranging—LiDAR), establishing links between structural and microbial diversity could facilitate the detection of belowground biodiversity hotspots. We investigated the potential for using remotely sensed information about forest structural diversity as a predictor of soil microbial community richness and composition. We calculated LiDAR‐derived metrics of structural diversity as well as a suite of stand and soil properties from 38 forested plots across the central hardwoods region of Indiana, USA, to test whether forest canopy structure is linked with the community richness and diversity of four key soil microbial groups: bacteria, fungi, arbuscular mycorrhizal (AM) fungi, and ectomycorrhizal (EM) fungi. We found that the density of canopy vegetation is positively associated with the taxonomic richness (alpha diversity) of EM fungi, independent of changes in plant taxonomic richness. Further, structural diversity metrics were significantly correlated with the overall community composition of bacteria, EM, and total fungal communities. However, soil properties were the strongest predictors of variation in the taxonomic richness and community composition of microbial communities in comparison with structural diversity and tree species diversity. As remote sensing tools and algorithms are rapidly advancing, these results may have important implications for the use of remote sensing of vegetation structural diversity for management and restoration practices aimed at preserving belowground biodiversity.