College of Horticulture, Northwest Agriculture and Forestry University, No. 3 Taicheng Road, Yangling, 712100, Shaanxi, China.
College of Natural Resources and Environment, Northwest Agriculture and Forestry University, No. 3 Taicheng Road, Yangling, Shaanxi, China.
Environ Sci Pollut Res Int. 2020 Dec;27(35):43439-43451. doi: 10.1007/s11356-019-07123-5. Epub 2020 Feb 3.
The eddy covariance (EC) technique was used to measure variations of orchard-atmosphere CO exchange, as a function of meteorological variables in an apple orchard in 2016-2017. The annual average CO exchange rate was 2.295 kg m. Excavations and biomass assessments demonstrated that the orchard stored close to 20.6 tC ha as plant C over a 15-year period. Seasonally, high rates of CO uptake and low CO emissions occurred between May and August and December and March, respectively. The maximum rates of monthly CO exchange were 144.44 and 153.61 gC m month in August 2016 and June 2017, respectively. Partial least squares (PLS) regressions were used to analyze the influence of meteorological factors to on CO exchange rates. Temperature and photosynthetic active radiation (PAR) were observed to exert the largest influence on driving variation in CO exchange. The main meteorological factors affecting CO exchange on daily and monthly time scales were soil temperature (T), air temperature (T), PAR, below canopy CO concentration (BCC), vapor pressure deficit (VPD), and soil water content at 50 cm (SWC). The regression model equation describing CO exchange included T, VPD, precipitation (PPT), and sunshine duration (SD), as significant variables. This model curve fitting explains over 80% of the variation in CO exchange. This study provides CO exchange characteristics and a model equation capable of predicting CO exchange of an apple orchard. Graphical Abstract.
涡度相关（EC）技术被用于测量果园-大气 CO 交换的变化，作为 2016-2017 年苹果园中气象变量的函数。年平均 CO 交换率为 2.295kgm。挖掘和生物量评估表明，果园在 15 年的时间里储存了近 20.6tCha 的植物 C。季节性地，CO 吸收速率高，CO 排放速率低，分别发生在 5 月至 8 月和 12 月至 3 月。每月 CO 交换的最大速率分别为 2016 年 8 月和 2017 年 6 月的 144.44 和 153.61gCm 月。偏最小二乘（PLS）回归用于分析气象因素对 CO 交换率的影响。温度和光合有效辐射（PAR）被观察到对驱动 CO 交换变化的影响最大。影响日尺度和月尺度 CO 交换的主要气象因素是土壤温度（T）、空气温度（T）、PAR、冠层下 CO 浓度（BCC）、蒸气压亏缺（VPD）和 50cm 土壤水分（SWC）。描述 CO 交换的回归模型方程包括 T、VPD、降水（PPT）和日照时间（SD）作为显著变量。该模型曲线拟合解释了超过 80%的 CO 交换变化。本研究提供了苹果园 CO 交换的特征和一个能够预测 CO 交换的模型方程。图表摘要。
