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Extrapolating gross primary productivity from leaf to canopy scale in a winter wheat crop

机译:推断冬小麦作物的总初级生产力从叶到冠层规模

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The objectives of this paper are to determine winter wheat gross primary productivity (GPP) by extrapolating to the canopy scale measurements of photosynthetic assimilation made at the leaf scale, to identify the uncertainties inherent in this method and to quantify their impact on GPP predictions. Crop development monitoring and photosynthesis measurements were conducted between 1 May and 19 July 2004 at the Carboeurope site of Lonzcbe, Belgium, with a portable porometer Li-Cor 6400. The model divided the canopy into 10 layers in which assimilation was computed on the basis of incident radiation and of assimilation to light response curves calibrated in the field. The model also took account of photosynthesis of stems and ears, senescent organ distribution and response of assimilation to leaf to air vapour pressure difference. Model estimates were compared with eddy covariance measurements performed at the site during the same period. The best agreement (regression slope=1.13, R po =0.94) between the two estimates was obtained by postulating a concentration of the senescent organs in the canopy bottom and a stem assimilation rate equal to 63% of the leaf assimilation. This ratio was found compatible with further leaf scale measurements. This led to a GPP of 1570gCmpo during the crop development and maturation periods. The sensitivity analysis revealed that the main sources of uncertainties were linked to the photosynthetic capacity of the stems (an increase of 40% in the initial GPP) and ears (an additional increase of 15%) and to the senescent organ spatial distribution (impact of 7-9%). An overestimation of GPP during spring (270gCmpo) was also observed, due to assimilation reduction at low temperature not be accounted for. Apart from this, the impact of the A-Q curve parameter uncertainties was found to be limited (impact on GPP always lower than 4%).
机译:本文的目的是通过推断在叶尺度上进行的光合同化的冠层尺度测量值来确定冬小麦总初级生产力(GPP),从而确定该方法固有的不确定性并量化其对GPP预测的影响。 2004年5月1日至7月19日,在比利时的伦茨比的Carboeurope站点使用便携式测湿仪Li-Cor 6400对作物生长进行了监测和光合作用的测量。该模型将树冠分为10层,根据入射辐射以及在现场校准的光响应曲线的吸收。该模型还考虑了茎和穗的光合作用,衰老器官的分布以及对叶的同化作用对气压差的响应。将模型估计值与同期在站点进行的涡动协方差测量进行比较。通过推定冠层底部衰老器官的浓度和茎同化率等于叶片同化率的63%,可以得出两个估计值之间的最佳一致性(回归斜率= 1.13,R po = 0.94)。发现该比例与进一步的叶鳞测量兼容。这导致在作物发育和成熟期的GPP为1570gCmpo。敏感性分析表明,不确定性的主要来源与茎的光合作用能力(在初始GPP中增加40%)和耳朵的光合能力(额外增加15%)以及衰老器官的空间分布(影响7-9%)。由于未考虑低温下的同化减少,因​​此还观察到了春季GPP的高估(270gCmpo)。除此之外,还发现A-Q曲线参数不确定性的影响是有限的(对GPP的影响始终低于4%)。

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