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Aboveground and belowground contributions to ecosystem respiration in a temperate deciduous forest
Agricultural and Forest Meteorology ( IF 5.6 ) Pub Date : 2022-01-08 , DOI: 10.1016/j.agrformet.2022.108807
Xiuping Liu 1 , Wenxu Dong 1 , Jeffrey D. Wood 2 , Yuying Wang 1 , Xiaoxin Li 1 , Yuming Zhang 1 , Chunsheng Hu 1 , Lianhong Gu 3
Affiliation  

In this study, we developed a three-way carbon dioxide (CO2) flux-partitioning algorithm that separates net ecosystem exchange (NEE) into aboveground plant respiration (Rabove), belowground root and soil respiration (Rbelow), and gross primary production (GPP). We applied this algorithm to a coupled dataset of continuous chamber-measured soil respiration and eddy covariance (EC)-measured NEE of CO2 in an oak-hickory (Quercus-Carya) deciduous broadleaf forest from 2006 to 2015. We found that on annual time scale, Rbelow dominated over Rabove with the former accounting for 66.9–86.4% and the latter 13.6–33.1%, of the total ecosystem respiration (Reco). The ratio of Rbelow to Rabove varied seasonally, ranging from 1.77 to 7.25 in growing season, and 1.02 to 4.57 in non-growing season. The temperature sensitivity (E0) of Rbelow was significantly higher than that of Rabove, and E0 of Reco responded differently to air and soil temperature. Over the whole study period, annual mean Rabove, Rbelow, and GPP were 243, 806, and 1170 g C m−2, respectively, with annual Reco accounting for 89.6% of GPP, of which 68.8% was lost as Rbelow and 20.8% lost as Rabove, and leaving only 10% of the carbon fixation in ecosystems. These estimates, however, did not consider potential light inhibition of leaf respiration. If we accept the presence of light inhibition, then the daytime three-way partitioning method would underestimate annual Rabove by 20.4% whereas the nighttime method would overestimate Rabove by 23.9% and GPP by 4.7%, compared with estimates accounting for light inhibition in leaves.



中文翻译:

温带落叶林地上和地下对生态系统呼吸的贡献

在这项研究中,我们开发了一种三向二氧化碳 (CO 2 ) 通量分配算法,将净生态系统交换 (NEE) 分为地上植物呼吸 (R above )、地下根和土壤呼吸 (R below ) 以及总初级生产(GPP)。我们将该算法应用于2006 年至 2015 年橡树山核桃 ( Quercus-Carya ) 落叶阔叶林中连续室测量的土壤呼吸和涡度协方差 (EC) 测量的 CO 2 NEE 的耦合数据集。我们发现,每年时间尺度上,R低于R高于R高于R 前者占生态系统总呼吸的66.9-86.4%,后者占13.6-33.1%(R生态)。R低于与R高于的比值随季节变化,生长季节为1.77~7.25,非生长季节为1.02~4.57。R below的温度敏感性(E 0)显着高于R above,并且R eco 的E 0对空气和土壤温度的响应不同。在整个研究期间,年平均R高于、R低于和GPP分别为243、806和1170 g C m -2,年R eco占GPP的89.6%,其中68.8%作为R损失以下和 20.8%以上的R 损失,仅留下 10% 的碳固定在生态系统中。然而,这些估计没有考虑叶呼吸的潜在光抑制。如果我们接受光抑制的存在,那么与考虑光抑制的估计值相比,白天三向分区方法将低估年 R以上20.4%,而夜间方法将高估 R以上23.9% 和 GPP 4.7%树叶。

更新日期:2022-01-09
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