期刊论文详细信息
PeerJ
Soil respiration of a Moso bamboo forest significantly affected by gross ecosystem productivity and leaf area index in an extreme drought event
article
Yuli Liu1  Guomo Zhou1  Huaqiang Du1  Frank Berninger2  Fangjie Mao1  Xuejian Li1  Liang Chen1  Lu Cui1  Yangguang Li1  Di’en Zhu1 
[1] State Key Laboratory of Subtropical Silviculture, Zhejiang Agricultural and Forestry University, Lin’an, Hangzhou city, Zhejiang province;Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, Zhejiang Agricultural and Forestry University, Lin’an, Hangzhou city, Zhejiang province;School of Environmental and Resources Science, Zhejiang Agricultural and Forestry University, Lin’an, Hangzhou city, Zhejiang province;Department of Forest Ecology, University of Helsinki
关键词: Moso bamboo forest;    Environmental determiners;    Soil respiration;    Leaf area index;    Gross ecosystem productivity;   
DOI  :  10.7717/peerj.5747
学科分类:社会科学、人文和艺术(综合)
来源: Inra
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【 摘 要 】

Moso bamboo has large potential to alleviate global warming through carbon sequestration. Since soil respiration (Rs) is a major source of CO2 emissions, we analyzed the dynamics of soil respiration (Rs) and its relation to environmental factors in a Moso bamboo (Phllostachys heterocycla cv. pubescens) forest to identify the relative importance of biotic and abiotic drivers of respiration. Annual average Rs was 44.07 t CO2 ha−1 a−1. Rs correlated significantly with soil temperature (P < 0.01), which explained 69.7% of the variation in Rs at a diurnal scale. Soil moisture was correlated significantly with Rs on a daily scale except not during winter, indicating it affected Rs. A model including both soil temperature and soil moisture explained 93.6% of seasonal variations in Rs. The relationship between Rs and soil temperature during a day showed a clear hysteresis. Rs was significantly and positively (P < 0.01) related to gross ecosystem productivity and leaf area index, demonstrating the significance of biotic factors as crucial drivers of Rs.

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