Seasonal and diurnal dynamics of soil respiration fluxes in two typical forests on the semiarid Loess Plateau of China: Temperature sensitivities of autotrophs and heterotrophs and analyses of integrated driving factors

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• 作者：Wei-Yu Shi^a ; ^c ; ^e ; Jian-Guo Zhang^a ; ^e ; Mei-Jie Yan^a ; ^b ; Norikazu Yamanaka^d ; Sheng Du^a ; ^b ; ^{shengdu@ms.iswc.ac.cn}
• 关键词：Autotrophic respiration ; CO2 efflux ; Heterotrophic respiration ; Q10 ; Semiarid forest
• 刊名：Soil Biology & Biochemistry
• 出版年：2012
• 期刊代码：96_00380717
• 类别：abs
• 出版时间：September, 2012
• 卷：52
• 期：Complete
• 页码：99-107
• 文件大小：1091 K

摘要

Partitioning of total soil respiration (R_T) into autotrophic (R_A) and heterotrophic (R_H) components was undertaken in two typical (natural and artificial) forests on the temperate, semiarid Loess Plateau of China, to determine and compare temperature sensitivities between the two components. The natural secondary forest was dominated by oak (Quercus liaotungensis) while the artificial forest was a plantation of black locust (Robinia pseudoacacia). Soil CO₂ efflux and different abiotic and biotic factors were measured during dormant and growing seasons. Temperature sensitivities of soil respiration components were investigated using the Q₁₀ function at diurnal and seasonal scales. The temperature sensitivities of autotrophic (R_A) and heterotrophic (R_H) respiration varied with the time scales (daily, seasonal, or annual) of the investigation, and were affected by other biological and environmental factors. The largest contribution of R_A to R_T was 46%in the oak forest and 60%in the black locust plantation during the growing season. During the dormant season it was as low as 12%in the oak forest and 6%in the black locust plantation. The Q₁₀ of R_A for the black locust plantation was higher than for the oak forest during the growing season, but was lower during the dormant season. The Q₁₀ of R_A in both forests was higher than that of R_H at both diurnal and seasonal scales. Multiple regression analyses suggested that photosynthesis is an important parameter in soil respiration studies and that a multiple-factor model may be more suitable during the annual periods.