Dep. of Soil and Irrigation (EEAD-CSIC Associated Unit), Agrifood Research and Technology Centre of Aragón (CITA), Avda. Montañana 930, Zaragoza, 50059, Spain.
J Environ Qual. 2020 May;49(3):769-773. doi: 10.1002/jeq2.20077. Epub 2020 May 20.
Closed-chamber methodology is widely used for the estimation of greenhouse gas (GHG) emissions in agricultural systems. The volume displaced by plants inside chambers influences GHG flux estimation, although generally it is not discounted from chamber headspace in the calculation. A novel image analysis-based procedure is proposed to estimate plant volume and to assess its impact on nitrous oxide (N O) flux estimations in a wheat (Triticum aestivum L. 'Rimbaud') crop. A maximum of 2.2% of the 13-L chambers was displaced by plants, leading to a systematic 0.9% overestimation in cumulative N O emissions if plant volume was not considered. Thus, plant canopy volume should be taken into account for improving the accuracy of emissions.
封闭式腔室方法广泛用于估算农业系统中的温室气体 (GHG) 排放。尽管在计算中通常不会从腔室顶部空间中扣除植物占据的腔室体积，但植物在腔室内占据的空间会影响 GHG 通量的估算。本研究提出了一种基于图像分析的新方法来估算植物的体积，并评估其对小麦（Triticum aestivum L. 'Rimbaud'）作物中一氧化二氮（N O）通量估算的影响。在 13 升的腔室中，植物最多占据了 2.2%的空间，如果不考虑植物体积，会导致累积 N O 排放量的系统高估 0.9%。因此，为了提高排放的准确性，应该考虑植物冠层的体积。
