• 关键词：植被恢复方式  施肥处理  土壤呼吸  土壤温度  土壤水分

• 基金项目：国家自然科学基金（No.41271530，41201374）

• 李君剑
• 山西大学黄土高原研究所, 太原 030006

• 曹杰
• 山西大学黄土高原研究所, 太原 030006

• 严俊霞
• 山西大学黄土高原研究所, 太原 030006

• 李洪建
• 山西大学黄土高原研究所, 太原 030006

• 摘要：为研究不同植被恢复方式和施肥处理下土壤呼吸的季节变化的影响因素，对山西省孝义市露天矿区复垦区土壤呼吸、温度和水分进行了2年的野外观测，采用不同单双变量模型分析了土壤呼吸与温度、水分间的关系.结果表明，植被恢复方式和施肥处理及其交互作用均显著影响土壤基础呼吸速率（R₁₀）和土壤温度敏感性指数（Q₁₀）.在单变量模型分析中，百脉根和苜蓿草本恢复方式下，土壤呼吸与土壤温度间拟合水平较高，而油松林和混交林乔木恢复方式下，土壤呼吸与土壤水分间拟合水平较高；剔除土壤水分低于10%时的土壤呼吸值，可提高土壤呼吸与温度间拟合水平；对土壤呼吸值进行标准化，可提高土壤呼吸与水分间拟合水平.相较于其它施肥处理，有机肥处理的样地土壤呼吸与温度间拟合系数较高，而土壤呼吸与水分间的拟合系数较小.土壤呼吸与温度、水分间4个双因子模型的拟合系数因植被恢复方式和施肥不同而有所不同.总之，土壤呼吸与温度、水分间双变量模型比单变量模型可更准确预测土壤碳通量值.

• Abstract：The soil respiration in reclaimed mining area is critically related to ecosystem restoration and vegetative establishment. However, how the soil respiration responds to different regeneration scenarios and fertilizer treatments is poorly understood. In this study, soil respiration, temperature, and water content were monitered under different regeneration scenarios and fertilizer treaments in a reclaimed opercast mining area of Shanxi Province. The single- and two- variable models were established to analyze the seasonal changes of soil respiration and its response to temperature and water content. Both regeneration scenarios and fertilizer application signficantly (p<0.05) influenced soil respiration at 10 ℃ (R₁₀). Greater determination coefficient (R²) of soil respiration to temperature was observed under Lotus corniculatus and Medicago sativa grasslands than Pinus tabulaeformis plantation, and Salix matsudana-Sabina chinensis mixed forest. However, the opposite trend was displayed for the correlation between soil respiration and water content. The R² of soil respiration to temperature was strengthened when the drought-affected data were excluded. Furthermore, the R² of soil respiration to water content was also enhanced when the soil respiration was normalized by using the fit of Q₁₀ function with respiration at 10 ℃. The positive and/or negative effect of organic fertilizer was demonstrated by the R² of soil respiration to temperature and water content, respectively. The R² of soil respiration to both temperature and water from four models was in a large variation due to regeneration scenarios and fertilizer treaments. Compared to sigle variable models, multiple models of respiration to both temperature and water content would predict more accurate data on soil carbon efflux.

• Key words：regeneration scenarios  fertilizer treatments  soil respiration  soil temperature  soil water content

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