Functional diversity of leaf nitrogen concentrations drives grassland carbon fluxes
Functional diversity of leaf nitrogen concentrations drives grassland carbon fluxes
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DOI：
10.1111/ele.12243
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发表时间：
2014-04-01
期刊：
影响因子：
8.8
通讯作者：
Roy, Jacques
中科院分区：
文献类型：
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作者：
Milcu, Alexandru;Roscher, Christiane;Roy, Jacques
植物功能多样性对生态系统水平碳通量的作用知之甚少。为了填补这一知识空白，我们将长期草原生物多样性实验（“耶拿实验”）中的4种和16种播种物种的整体承载社区转移到生态系统研究的受控环境设施（Ecotron）中。这允许量化的影响，植物多样性对生态系统的碳通量以及三个参数的碳吸收效率（水和氮的利用效率和表观量子产率）。通过将生态系统碳通量数据与基于植被结构和功能特征的预测因子相结合，我们发现，植物物种和功能多样性的增加导致更高的总和净生态系统碳吸收率。通径分析和光响应曲线揭示了冠层中叶片氮浓度的多样性作为C通量的关键功能预测因子，直接或间接通过LAI和地上生物量。
Little is known about the role of plant functional diversity for ecosystem-level carbon (C) fluxes. To fill this knowledge gap, we translocated monoliths hosting communities with four and 16 sown species from a long-term grassland biodiversity experiment ('The Jena Experiment') into a controlled environment facility for ecosystem research (Ecotron). This allowed quantifying the effects of plant diversity on ecosystem C fluxes as well as three parameters of C uptake efficiency (water and nitrogen use efficiencies and apparent quantum yield). By combining data on ecosystem C fluxes with vegetation structure and functional trait-based predictors, we found that increasing plant species and functional diversity led to higher gross and net ecosystem C uptake rates. Path analyses and light response curves unravelled the diversity of leaf nitrogen concentration in the canopy as a key functional predictor of C fluxes, either directly or indirectly via LAI and aboveground biomass.