...
首页> 外文期刊>Plant and Soil >Soil temperature and biotic factors drive the seasonal variation of soil respiration in a maize (Zea mays L.) agricultural ecosystem
【24h】

Soil temperature and biotic factors drive the seasonal variation of soil respiration in a maize (Zea mays L.) agricultural ecosystem

机译:土壤温度和生物因子驱动玉米(Zea mays L.)农业生态系统中土壤呼吸的季节性变化

获取原文
获取原文并翻译 | 示例

摘要

The diurnal and seasonal variation of soil respiration (SR) and their driving environmental factors were studied in a maize ecosystem during the growing season 2005. The diurnal variation of SR showed asymmetric patterns, with the minimum occurring around early morning and the maximum around 13:00 h. SR fluctuated greatly during the growing season. The mean SR rate was 3.16 μmol CO2 m?2 s?1, with a maximum of 4.87 μmol CO2 m?2 s?1 on July 28 and a minimum of 1.32 μmol CO2 m?2 s?1 on May 4. During the diurnal variation of SR, there was a significant exponential relationship between SR and soil temperature (T) at 10 cm depth: $ {text{SR}} = alpha text{e} ^{beta T} $ . At a seasonal scale, the coefficient α and β fluctuated because the biomass (B) increased α, and the net primary productivity (NPP) of maize markedly increased β of the exponential equation. Based on this, we developed the equation $ {text{SR}} = left( {aB + b} right)text{e} ^{left( {cNPP + d} right)T} $ to estimate the magnitude of SR and to simulate its temporal variation during the growth season of maize. Most of the temporal variability (93%) in SR could be explained by the variations in soil temperature, biomass and NPP of maize. This model clearly demonstrated that soil temperature, biomass and NPP of maize combined to drive the seasonal variation of SR during the growing season. However, only taking into account the influence of soil temperature on SR, an exponential equation over- or underestimated the magnitude of SR and resulted in an erroneous representation of the seasonal variation in SR. Our results highlighted the importance of biotic factors for the estimation of SR during the growing season. It is suggested that the models of SR on agricultural sites should not only take into account the influence of soil temperature, but also incorporate biotic factors as they affect SR during the growing season.
机译:在2005年的生长季节中,研究了玉米生态系统中土壤呼吸(SR)的昼夜变化和它们的驱动环境因素。SR的昼夜变化显示出不对称的模式,最小值出现在清晨,最大值出现在13附近: 00小时在生长季节,SR波动很大。平均SR率为3.16μmolCO2 s?1 ,最大值为4.87μmolCO2 s?1 sup>于7月28日,最低为1.32μmolCO2 m?2 s?1 于5月4日。在SR的昼夜变化过程中,SR与水之间存在显着的指数关系。 10厘米深处的土壤温度(T):$ {text {SR}} = alpha text {e} ^ {beta T} $。在季节尺度上,系数α和β波动是因为生物量(B)增加α,而玉米的净初级生产力(NPP)显着增加了指数方程的β。基于此,我们开发了等式$ {text {SR}} = left({aB + b} right)text {e} ^ {left({cNPP + d} right)T} $来估计SR的大小和模拟其在玉米生长季节的时间变化。 SR的大部分时间变异性(93%)可以通过土壤温度,玉米生物量和NPP的变化来解释。该模型清楚地表明了玉米的土壤温度,生物量和NPP共同驱动了生长季SR的季节性变化。但是,仅考虑土壤温度对SR的影响,一个指数方程高估或低估了SR的大小,并导致SR的季节变化的错误表示。我们的结果突出了生物因子对于估算生长季节中SR的重要性。建议在农田上SR的模型不仅应考虑土壤温度的影响,而且还应纳入生物因子,因为它们在生长季节会影响SR。

著录项

  • 来源
    《Plant and Soil 》 |2007年第2期| 15-26| 共12页
  • 作者单位

    Laboratory of Quantitative Vegetation Ecology Institute of Botany The Chinese Academy of Sciences Beijing 100093 P.R. China;

    Laboratory of Quantitative Vegetation Ecology Institute of Botany The Chinese Academy of Sciences Beijing 100093 P.R. China;

    Laboratory of Quantitative Vegetation Ecology Institute of Botany The Chinese Academy of Sciences Beijing 100093 P.R. China;

    Meterological Bureau of Jinzhou Jinzhou 121001 P.R. China;

    Meterological Bureau of Jinzhou Jinzhou 121001 P.R. China;

    Meterological Bureau of Jinzhou Jinzhou 121001 P.R. China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Biomass; Net primary productivity; Soil respiration; Soil temperature; Temporal variation;

    机译:生物量;净初级生产力;土壤呼吸;土壤温度;时间变化;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号