Impacts of nitrogen‐fixing and non‐nitrogen‐fixing tree species on soil respiration and microbial community composition during forest management in subtropical China

马尾松 土壤肥力 农学 微生物种群生物学 生物量(生态学) 环境科学 森林生态学 土壤碳 土壤呼吸 生态系统 农林复合经营 生物 生态学 土壤水分 植物 遗传学 细菌
作者
Da Luo,Ruimei Cheng,Zuomin Shi,Weixia Wang,Gexi Xu,Shirong Liu
出处
期刊:Ecological Research [Wiley]
卷期号:31 (5): 683-693 被引量:21
标识
DOI:10.1007/s11284-016-1377-4
摘要

Abstract Forest management with N‐fixing trees can improve soil fertility and tree productivity, but have little information regarding belowground carbon processes and microbial properties. We aimed to evaluate the effects of three forest management regimes, which were Erythrophleum fordii (N‐fixing tree), Pinus massoniana (non‐N‐fixing tree), and their mixed forest, on soil respiration and microbial community composition in subtropical China, using Barometric Process Separation and phospholipid fatty acid profiles, respectively. We found that the inclusions of N‐fixing species in forests significantly increased the soil respiration, but have no effects on SOC and ecosystem total C stock. In addition, soil microbial communities were obviously different among the three forest management regimes. For instance, total and bacterial PLFAs were higher in the E. fordii and mixed forest than in the P. massoniana forest. Conversely, fungal PLFAs in the P. massoniana forest were elevated versus the other two forests. Soil total N, nitrate‐N and pH were the key determinants shaping the microbial community composition. Our study suggests that variations in soil respiration in the studied forests could be primarily explained by the differences of root biomass and soil microbial biomass, but not soil organic carbon. Although soil fertility and microbial biomass were promoted, N‐fixing plantings also brought on increased CO 2 emissions in laboratory assays. The future decision of tree species selection for forest management in subtropical China therefore needs to consider the potential influences of tree species on CO 2 emissions.
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