Dissecting soil CO₂ fluxes from a subtropical forest in China by integrating field measurements with a modeling approach

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• 作者：Xiaoguo Wang^a ; Bo Zhu^a ; ^{bzhu@imde.ac.cn} ; Changsheng Li^b ; Meirong Gao^a ; Yanqiang Wang^a ; Zaixing Zhou^c ; Hongye Yuan^a ; ^d
• 关键词：Soil CO₂ flux ; Autotrophic respiration ; Heterotrophic respiration ; Forest-DNDC model
• 刊名：Geoderma
• 出版年：2011
• 出版时间：15 February 2011
• 年：2011
• 卷：161
• 期：1-2
• 页码：88-94
• 全文大小：719 K

文摘

Terrestrial carbon sequestration involves a series of processes, including photosynthesis, plant autotrophic respiration and soil microbial heterotrophic respiration. Field measurements of carbon dioxide (CO₂) using either eddy covariance or chamber methods usually provide bulk CO₂ fluxes from more than one sink or source. For the purpose of estimating the C budget in ecosystems, it is inherently important to determine the individual sinks or sources. This report describes how we tested the Forest-DNDC model using a dataset collected at a subtropical forest site in Sichuan Province, China. One-year field measurements were conducted using a chamber method at four plots with different treatments that were specifically designed to distinguish the CO₂ fluxes produced from three sources: root respiration, forest floor respiration and mineral soil respiration. The obtained datasets were utilized to verify the modeled CO₂ fluxes from the corresponding sources for the tested forest ecosystem. Results from the tests indicated that Forest-DNDC was capable not only of quantifying the total CO₂ emissions but also of distinguishing their sources related to plant autotrophic and soil microbial heterotrophic respiration. Because measuring root respiration is always difficult in field investigations, adopting Forest-DNDC for quantifying root respiration represents an appropriate complement to most field measurements.