Jon McCalmont, Andreas Heinemeyer, James Morison, Georgios Xenakis, Michael C. Bell, Matthew Wilkinson, Astley Hastings
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Scaling from research site to region requires modelling evaluated against in situ measurements, but there is often a mismatch between outputs of process models (e.g., soil heterotrophic respiration (Rh)) and site-measured parameters (e.g., total soil surface respiration (Rs) or whole ecosystem respiration (Re)).This study took a literature review approach to determine fractional coefficients for estimating Rh from Re or Rs and considered whether these fractions differed across a year in seasonal forests, where relative contributions of root respiration might be expected to vary between growing and dormant seasons. Compiled timeseries data were grouped by forest type (broadleaf, needleleaf, and mixed), and coefficients for a fraction of each component (Rs or Re) that Rh represented were calculated using two approaches, namely a simple annual mean value over all months and individual monthly means. 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引用次数: 0
摘要
了解生态系统内的碳流是量化土地利用变化对气候影响的关键。然而,虽然生态系统与大气之间的二氧化碳净交换显示了全球变暖的可能性,但要了解汇和源、停留时间以及对土地利用影响的敏感性,还需要将其划分为各个通量成分。从研究地点扩展到区域需要根据现场测量结果对模型进行评估,但过程模型的输出结果(如土壤异养呼吸作用 (Rh))与现场测量参数(如土壤表面总呼吸作用 (R))之间往往不匹配、本研究采用文献综述法确定了根据 Re 或 Rs 估算 Rh 的分数系数,并考虑了这些分数系数在季节性森林中是否在一年中有所不同,因为根呼吸的相对贡献可能在生长季和休眠季之间有所不同。编制的时间序列数据按森林类型(阔叶、针叶和混交)分组,并采用两种方法计算 Rh 所代表的各成分(Rs 或 Re)的系数,即所有月份的简单年平均值和单个月份的平均值。然后使用这些系数分别估算英国两个森林地点同时测量的高层通量(涡协方差中的 Re 和土壤室中的 Rs)中的 Rh,并与使用以前公布的通用系数从相同数据集估算的 Rh 以及同时测量的 Rh 和 Re 进行比较。与以前公布的系数相比,这两种方法都能使两种不同的 Rh 估计值(根据 Re 或 Rs 得出)更加接近,特别是对于以前在泥炭地毯状沼泽而非森林下测量的 Rh/Re 系数。
Timeseries partitioning of ecosystem respiration components in seasonal, non-tropical forests; comparing literature derived coefficients with evaluation at two contrasting UK forest sites
Understanding carbon flows within ecosystems is key to quantifying the impacts of land-use change in the climate. However, while the net exchange of CO2 between the ecosystem and atmosphere indicates global warming potentials, partitioning into individual flux components is needed to understand sinks and sources, residence times, and sensitivities to land-use impacts. Scaling from research site to region requires modelling evaluated against in situ measurements, but there is often a mismatch between outputs of process models (e.g., soil heterotrophic respiration (Rh)) and site-measured parameters (e.g., total soil surface respiration (Rs) or whole ecosystem respiration (Re)).This study took a literature review approach to determine fractional coefficients for estimating Rh from Re or Rs and considered whether these fractions differed across a year in seasonal forests, where relative contributions of root respiration might be expected to vary between growing and dormant seasons. Compiled timeseries data were grouped by forest type (broadleaf, needleleaf, and mixed), and coefficients for a fraction of each component (Rs or Re) that Rh represented were calculated using two approaches, namely a simple annual mean value over all months and individual monthly means. These coefficients were then used to estimate Rh separately from higher-level fluxes (Re from eddy covariance and Rs from soil chambers), measured concurrently at two UK forest sites, and compared to Rh estimated from the same datasets using previously published generic coefficients as well as to concurrently measured Rh and Re.Both approaches resulted in much closer convergence of the two separate estimates of Rh (derived from Re or Rs) than previously published coefficients, particularly for Rh/Re coefficients that had previously been measured under peatland blanket bog rather than forest.This result suggests that land cover is an important factor in determining the relative contribution of heterotrophic respiration to higher-level fluxes and that the coefficients used would ideally be derived from studies on similar ecosystems.