five

Data from: Tree functional strategies and soil microbial communities regulate forest ecosystem services

收藏
DataCite Commons2026-01-28 更新2025-04-09 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.1vhhmgr5m
下载链接
链接失效反馈
官方服务:
资源简介:
Forests provide key ecosystem services. However, the role of tree functional strategies and soil microbial communities in supporting multiple ecosystem services remains unclear. To bridge this gap, we conducted a field experiment involving monocultures of 28 tree species with diverse functional traits and their associated soil microbial communities. We assessed multiple indicators of ecosystem services to gain insights into their interrelationships. Our study revealed strong connections between tree functional traits, soil microbial communities, and ecosystem services such as nutrient cycling, water retention, and ecosystem productivity. Broadleaved trees had a negative impact on nutrient cycling rates but positively influenced ecosystem productivity compared to coniferous trees. Deciduous trees are positively associated with ecosystem water availability compared to evergreen trees. Tree species with resource-acquisitive strategies were associated with faster nutrient cycling rates. Furthermore, trees forming ectomycorrhizal associations increased nutrient cycling and multifunctionality (i.e. multiple ecological functions and services) compared to trees with arbuscular mycorrhizal associations. More importantly, leaf nitrogen content indirectly influenced multifunctionality by affecting the ratio of fungi-bacteria and soil microbial composition. Synthesis and applications. This research highlights the role of tree functional strategies and soil microbial community composition in influencing the ecosystem services of subtropical forests, and provides important information on which functional groups may be planted to promote particular bundles of ecosystem services.
提供机构:
Dryad
创建时间:
2025-03-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作