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Diagnosing the Temperature Sensitivity of Ecosystem Respiration in Northern High‐Latitude Regions
Journal of Geophysical Research: Biogeosciences ( IF 3.7 ) Pub Date : 2021-03-06 , DOI: 10.1029/2020jg005998
Dongxing Wu 1 , Shaomin Liu 1 , Xiuchen Wu 1 , Xiaofan Yang 1 , Tongren Xu 1 , Ziwei Xu 1 , Hanyu Shi 2
Affiliation  

The accurate estimation of the temperature sensitivity of ecosystem respiration (Q10) is important to understanding the terrestrial ecosystem carbon cycle, especially in northern high‐latitude regions (NHLs). Q10 estimated by the conventional approach at the annual scale is influenced by seasonal confounding effects. Based on singular spectrum analysis, scale‐dependent parameter estimation (SCAPE) is considered an effective approach to eliminate confounding effects. Nevertheless, the performance of the decomposition and reconstruction schemes in the SCAPE approach in Q10 estimation remains limited, which hampers its further application in larger‐scale systems. In this study, we utilized an improved scale‐dependent parameter estimation (iSCAPE) approach to analyze trends of the unconfounded Q10 and its environmental controls in NHLs. The results showed that in NHLs, the confounding effects in forest ecosystems were smaller than those in cropland and grassland ecosystems. The apparent Q10 estimated by the conventional approach varied among 32 sites with a mean value of 2.82 (95% confidence interval (CI): 2.72–2.91), while the mean intrinsic Q10 estimated by the iSCAPE approach across the 32 sites was 1.53 (95% CI: 1.48–1.57). The apparent Q10 increased with the annual mean temperature. The intrinsic Q10 decreased with the increasing of spatial temperature gradient. The current study indicates that ecosystem respiration in NHLs is less sensitive to climate warming than previously reported. The seasonality of ecosystem respiration should be eliminated when estimating Q10 to avoid overestimating climate‐carbon cycle feedback.

中文翻译:

高海拔北部地区生态系统呼吸的温度敏感性诊断

准确估算生态系统呼吸的温度敏感性(Q 10)对于了解陆地生态系统碳循环非常重要,尤其是在北部高纬度地区(NHLs)。传统方法在年尺度上估计的Q 10受季节混杂影响的影响。基于奇异频谱分析,尺度相关参数估计(SCAPE)被认为是消除混杂影响的有效方法。尽管如此,在第10季度的SCAPE方法中分解和重建方案的性能估计仍然是有限的,这妨碍了它在大规模系统中的进一步应用。在这项研究中,我们利用了一种改进的尺度相关参数估计(iSCAPE)方法来分析NHL中无混淆的Q 10及其环境控制的趋势。结果表明,在NHLs中,森林生态系统中的混杂效应小于农田和草地生态系统中的混杂效应。传统方法估计的表观Q 10在32个站点之间变化,平均值为2.82(95%置信区间(CI):2.72–2.91),而iSCAPE方法在32个站点上估计的平均内在Q 10为1.53。 (95%CI:1.48–1.57)。表观Q 10随着年平均温度的升高而增加。固有Q10随着空间温度梯度的增加而降低。当前的研究表明,NHLs中的生态系统呼吸对气候变暖的敏感性低于以前的报道。在估算Q 10时,应消除生态系统呼吸的季节性,以避免过高估算气候-碳循环反馈。
更新日期:2021-04-04
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