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沿沙地草原恢复梯度测试植物功能多样性与碳氮储存的关联

Testing Associations of Plant Functional Diversity with Carbon and Nitrogen Storage along a Restoration Gradient of Sandy Grassland.

作者信息

Zuo Xiaoan, Zhou Xin, Lv Peng, Zhao Xueyong, Zhang Jing, Wang Shaokun, Yue Xiyuan

机构信息

Naiman Desertification Research Station, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of SciencesLanzhou, China; Laboratory of Stress Ecophysiology and Biotechnology, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of SciencesLanzhou, China.

Naiman Desertification Research Station, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences Lanzhou, China.

出版信息

Front Plant Sci. 2016 Feb 19;7:189. doi: 10.3389/fpls.2016.00189. eCollection 2016.

Abstract

The trait-based approach shows that ecosystem function is strongly affected by plant functional diversity as reflected by the traits of the most abundant species (community-weighted mean, CWM) and functional dispersion (FDis). Effects of CWM and FDis individually support the biomass ratio hypothesis and the niche complementarity hypothesis. However, there is little empirical evidence on the relative roles of CWM traits and FDis in explaining the carbon (C) and nitrogen (N) storage in grassland ecosystems. We measured plant functional traits in the 34 most abundant species across 24 sites along a restoration gradient of sandy grassland (mobile dune, semi-fixed dune, fixed dune, and grassland) in Horqin Sand Land, northern China. Thereafter, we calculated the CWM traits, the functional divergence of each single trait (FDvar) and the trait dispersion of multiple traits (FDis). We also measured the C and N storage in plant, litter, root, and soil. Using a stepwise multiple regression analysis, we further assessed which of the functional diversity components best explained C and N storage in the sandy grassland restoration. We found consistent links between C or N storage and leaf traits related to plant resource use strategy. However, the CWM of plant height was retained as an important predictor of C and N storage in plant, litter, soil, and total ecosystem in the final multiple models. CWMs of specific leaf area and plant height best predicted soil C and N storage and total ecosystem N storage. FDis was one of good predictors of litter C and N storage as well as total ecosystem C storage. These results suggest that ecosystem C and N pools in the sandy grassland restoration are primarily associated with the traits of the most abundant species in communities, thereby supporting the biomass ratio hypothesis. The positive associations of FDis with C storage in litter and total ecosystem provide evidence to support the niche complementarity hypothesis. Both functional traits of dominant species and traits' dispersion in plant communities could contribute to explaining total ecosystem C storage. Thus, single- and multi-trait indices of functional composition play a crucial role in predicting C storage in sandy grasslands.

摘要

基于性状的方法表明,生态系统功能受到植物功能多样性的强烈影响,这种影响通过最丰富物种的性状(群落加权均值,CWM)和功能离散度(FDis)得以体现。CWM和FDis的影响分别支持了生物量比率假说和生态位互补假说。然而,关于CWM性状和FDis在解释草地生态系统中碳(C)和氮(N)储量方面的相对作用,实证证据很少。我们在中国北方科尔沁沙地沿沙地草地(流动沙丘、半固定沙丘、固定沙丘和草地)的恢复梯度,对24个样地中34种最丰富的物种的植物功能性状进行了测量。之后,我们计算了CWM性状、每个单一性状的功能差异(FDvar)和多个性状的性状离散度(FDis)。我们还测量了植物、凋落物、根系和土壤中的C和N储量。通过逐步多元回归分析,我们进一步评估了哪些功能多样性成分能最好地解释沙地草地恢复过程中的C和N储量。我们发现C或N储量与与植物资源利用策略相关的叶片性状之间存在一致的联系。然而,在最终的多元模型中,株高的CWM被保留为植物、凋落物、土壤和整个生态系统中C和N储量的重要预测因子。比叶面积和株高的CWM最能预测土壤C和N储量以及整个生态系统的N储量。FDis是凋落物C和N储量以及整个生态系统C储量的良好预测因子之一。这些结果表明,沙地草地恢复过程中的生态系统C和N库主要与群落中最丰富物种的性状相关,从而支持了生物量比率假说。FDis与凋落物和整个生态系统中C储量的正相关关系为支持生态位互补假说提供了证据。优势物种的功能性状和植物群落中性状的离散度都有助于解释整个生态系统的C储量。因此,功能组成的单性状和多性状指数在预测沙地草地的C储量方面起着关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da84/4759253/067a059defbb/fpls-07-00189-g001.jpg

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