Tian Qilong, Zhang Xiaoping, Wang Miaoqian, He Jie, Xu Xiaoming, He Liang, Yi Haijie, Wang Haojia
College of Ecology and Environment, Key Laboratory of Oasis Ecology of Education Ministry Xinjiang University Urumqi China.
Institute of Soil and Water Conservation, State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau Chinese Academy of Sciences and Ministry of Water Resources Yangling China.
Ecol Evol. 2024 Oct 8;14(10):e70390. doi: 10.1002/ece3.70390. eCollection 2024 Oct.
While the link between plant species diversity and biomass has been well-studied, the impact of evolutionary diversity on community biomass across long timescales or ongoing change remains a subject of debate. We elucidated the association between evolutionary diversity and community aboveground biomass (AGB) using an ideal experimental system with over 150-year history of natural vegetation regeneration. Higher phylogenetic diversity facilitated the sampling effect under the influence of environmental filtering, and caused an increase in AGB. Phylogenetic structure varied from aggregation to dispersion during the later period of vegetation recovery (70-150 years), which was correlated with increases in niche complementarity and increasing AGB. Woody plant evolutionary diversity was used as a key to predict the relationship between vegetation recovery and AGB, with a total explanatory power of ~84.7%. Mixed forests composed of evergreen conifers and deciduous broadleaf forests had higher carbon sequestration potential than that of pure forests, which is advantageous for increasing top-stage AGB. This research expands our knowledge of the causes and effects of biodiversity and ecosystem function dynamics over time and space, which is important for accurately predicting future climate change effects.
虽然植物物种多样性与生物量之间的联系已得到充分研究，但长期或持续变化过程中进化多样性对群落生物量的影响仍是一个有争议的话题。我们使用一个具有150多年天然植被恢复历史的理想实验系统，阐明了进化多样性与群落地上生物量（AGB）之间的关联。更高的系统发育多样性在环境过滤的影响下促进了抽样效应，并导致AGB增加。在植被恢复后期（70 - 150年），系统发育结构从聚集转变为离散，这与生态位互补性的增加和AGB的增加相关。木本植物进化多样性被用作预测植被恢复与AGB之间关系的关键因素，总解释力约为84.7%。由常绿针叶树和落叶阔叶林组成的混交林比纯林具有更高的碳固存潜力，这有利于增加顶级AGB。这项研究扩展了我们对生物多样性和生态系统功能随时间和空间动态变化的原因及影响的认识，这对于准确预测未来气候变化影响至关重要。
