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冠层辐射温度对冬小麦生态系统碳通量的影响
摘要点击 1638  全文点击 736  投稿时间:2015-12-15  修订日期:2016-04-15
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中文关键词  冬小麦  碳通量  冠层辐射温度  气温  土壤温度
英文关键词  winter wheat  carbon flux exchange  canopy radiation temperature  air temperature  soil temperature
作者单位E-mail
李洪建 山西大学黄土高原研究所, 太原 030006 hongli@sxu.edu.cn 
杨艳 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 yjx422@sxu.edu.cn 
中文摘要
      用箱式法在太原盆地对冬小麦的碳通量进行了两年的测定,对比分析了气温(Ta)、土壤温度(Ts)和冠层辐射温度(Tc)的日、季节变化与冬小麦碳通量日、季节变化的关系.结果表明,在日、季节尺度上TcTa具有较好的一致性,相关系数在0.90以上;日尺度上,净生态系统碳交换量(NEE)、总初级生产力(GPP)、生态系统呼吸(Reco)与Ts的相关系数在绝大部分测定日都小于与TaTc的相关系数,但它们与TaTc的相关系数差异不大;季节尺度上,冬小麦的GPP、NEE和Reco与3个温度(TaTsTc)都呈显著的二次抛物线关系.生态系统光合作用的最适温度Tc略低于Ta的,差异约1℃ 左右.RecoTa的关系均好于与Ts的关系,与TcTa关系的决定系数差异不大(0.95~0.96).研究结果可以为基于遥感方式观测的冠层辐射温度在估算碳通量中的应用提供依据.
英文摘要
      We measured daily changes of carbon dioxide exchange in a winter wheat site in Taiyuan basin using chamber method for two years and analyzed relationships between environmental factors affecting carbon exchange of the wheat, including air temperature (Ta), soil temperature (Ts), canopy radiation temperature (Tc) and carbon exchange of the wheat on daily and seasonal scales. The results showed that variations of both Tc and Ta on daily and seasonal scales were consistent with a correlation coefficient of above 0.90. On daily scale, the correlation coefficients of NEE, gross primary productivity (GPP) and ecosystem respiration (Reco) against Ts on most of the measurement days were smaller than those against Ta or Tc, but the correlation coefficients for NEE, GPP and Reco against Ta and Tc showed no difference. On seasonal scale, the relationships between GPP, NEE, Reco and all the temperatures (Ta, Tc and Ts) showed a significant parabola-shape. Optimal temperature of Tc for photosynthesis was slightly lower than that of Ta, but the difference between the optimal Ta and Tc was only about 1℃. Relationship between Reco and Ta for the two-year measurement data was better than that with Ts, but correlation coefficients of Reco with Tc and Ta had nearly no difference ranging from 0.95 to 0.96. Our results could give some implications for ecosystem carbon exchange estimation with remote sensing method based on canopy temperature.

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