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Testing the hypothesis on estimating field maize height and above-ground biomass using tower-based gradient wind data
Field Crops Research ( IF 5.8 ) Pub Date : 2021-02-05 , DOI: 10.1016/j.fcr.2021.108081
Qiang Xing , Zhongchang Sun , Huiping Jiang , Wenjie Du

Maize height and dry above-ground biomass (AGB) are of great significance for farmland ecosystems, agricultural yield and production statistics, greenhouse gas emissions and climate change. Traditional approaches of estimating these parameters are labour-intensive, destructive, and with high uncertainties. This paper describes a challenging attempt to estimate field maize height and dry AGB through aerodynamic parameters of Zero Plane Displacement (ZPD), aerodynamic roughness length (ARL) and the combination index (CI) of ZPD and ARL, which are used to characterize the interaction between vegetation and atmosphere. ZPD/ARL was calculated from gradient wind data based on the Monin-Obukhov Similarity Theory. The experiment was conducted at Daman Irrigation District in the Heihe River Basin with continuous observations during three maize growing seasons. Although the CI based height estimation shows a high R2 of 0.97 and a low RMSE of 0.14 m, the error analysis of the model shows a high error of -0.59 m∼+0.739 m. The ZPD and CI based biomass estimations in power fitting show high R2 of 0.98 and 0.97 with low RMSE under 5% and 7% of the maximum dry AGB, however, the steep curve in the middle and late growing stages shows serious sensitivity to the variations of ZPD and CI. Considering the high sensitivity and uncertainties in estimating crop biomass or crop height, it is concluded that this micrometeorology based method is difficult and cumbersome to be practicable. It will always need assistance of the simple traditional sampling.



中文翻译:

使用基于塔的梯度风数据测试估计田间玉米高度和地上生物量的假设

玉米高度和干燥的地上生物量(AGB)对农田生态系统,农业产量和产量统计,温室气体排放和气候变化具有重要意义。估计这些参数的传统方法是劳动强度大,破坏性大且不确定性高的方法。本文描述了一项具有挑战性的尝试,即通过零平面位移(ZPD),空气动力学粗糙度长度(ARL)以及ZPD和ARL的组合指数(CI)的空气动力学参数来估算田间玉米高度和干燥AGB,以表征相互作用在植被和大气之间。ZPD / ARL是根据Monin-Obukhov相似性理论根据梯度风数据计算得出的。该实验在黑河流域的达曼灌区进行,在三个玉米生长期连续观察。尽管基于CI的高度估计显示出较高的R2的误差为0.97,RMSE的误差为0.14 m,模型的误差分析结果为-0.59 m〜+ 0.739 m的误差。功率拟合中基于ZPD和CI的生物量估计值显示R 2分别为0.98和0.97,而RMSE却低于最大干AGB的5%和7%,但是,中后期的陡峭曲线表明对土壤的敏感性很强。 ZPD和CI的变化。考虑到估计作物生物量或作物高度的高灵敏度和不确定性,可以得出结论,这种基于微气象学的方法既困难又麻烦,不切实际。它总是需要简单的传统采样的帮助。

更新日期:2021-02-05
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