Plant functional group removal alters root biomass and nutrient cycling in a typical steppe in Inner Mongolia, China
Plant functional group removal alters root biomass and nutrient cycling in a typical steppe in Inner Mongolia, China
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DOI：
10.1007/s11104-011-0803-1
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发表时间：
2011-09-01
期刊：
影响因子：
4.9
通讯作者：
Han, Xingguo
中科院分区：
文献类型：
--
作者：
Kong, Deliang;Wu, Huifang;Han, Xingguo
功能多样性的丧失已被证明对生态系统的功能产生各种影响。然而，大多数研究都是在人工组装的群落中进行的，通过移除原始植被并播种所需的物种或功能组组成。这种方法可能会严重干扰地下生物量，特别是根系，从而难以研究地下对多样性操作的反应。为了解决这一问题，植物多样性梯度的建立，在一个典型的草原上不同植物功能群（PFGs）的地上生物量原位去除，和地下过程相关的根系和土壤进行了研究。根系养分库表现出相反的模式，磷（P）库线性下降，而氮（N）库有一个驼峰形的响应增加PFG去除。PFG的去除使土壤NO3-含量增加，而净氮矿化量降低。与此相反，土壤P表现出小PFG去除的反应。此外，PFG的身份和数量的去除有显着的影响，根系和土壤性质。本研究的结果表明，PFGs的组合的损失是重要的，在天然草地，地下过程的影响最小的方法是有前途的研究在自然生态系统中的多样性损失的影响。
Loss of functional diversity has been demonstrated to have a variety of impacts on ecosystem functioning. However, most studies have been implemented in artificially assembled communities by removing the original vegetation and seeding with desired species or functional group compositions. Such approaches could significantly disturb belowground biomass, especially roots, making it difficult to examine belowground responses to diversity manipulations. To circumvent this issue, plant diversity gradients were established by in situ removal of aboveground biomass of different plant functional groups (PFGs) in a typical steppe, and belowground processes related to roots and soil were examined. Root nutrient pools exhibited contrasting patterns, with the phosphorus (P) pool decreasing linearly upon increased PFG removal while the nitrogen (N) pool had a hump-shaped response. Soil NO3- increased while net N mineralization decreased with PFG removal. In contrast, soil P showed little response to PFG removal. Furthermore, both the identity and number of PFG removed had a significant influence on root and soil properties. The results of this study showed that loss of a combination of PFGs was important in natural grassland, and an approach with minimal influence on belowground processes is promising in studying diversity loss effects in natural ecosystems.