Net land-use change carbon flux estimates and sensitivities – An assessment with a bookkeeping model based on CMIP6 forcing

K. Hartung, A. Bastos, L. Chini, R. Ganzenmüller, Felix Havermann, G. Hurtt, T. Loughran, J. Nabel, Tobias B. Nützel, W. Obermeier, J. Pongratz
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引用次数: 4

Abstract

Abstract. The carbon flux due to land-use and land-cover change (net LULCC flux) historically contributed to a large fraction of anthropogenic carbon emissions while at the same time being associated with large uncertainties. This study aims to compare the contribution of several sensitivities underlying the net LULCC flux by assessing their relative importance in a bookkeeping model (BLUE) based on a LULCC dataset including uncertainty estimates (the LUH2 dataset). The sensitivity experiments build upon the approach of Hurtt et al. (2011) and compare the impacts of LULCC uncertainty (a high, baseline and low land- use estimate), the starting time of the bookkeeping model simulation (850, 1700 and 1850), net area transitions versus gross area transitions (shifting cultivation) and neglecting wood harvest on estimates of the net LULCC flux. Additional factorial experiments isolate the impact of uncertainty from initial conditions and transitions on the net LULCC flux. Finally, historical simulations are extended with future land-use scenarios to assess the impact of past LULCC uncertainty in future projections. Over the period 1850–2014, baseline and low LULCC scenarios produce a comparable cumulative net LULCC flux while the high LULCC estimate initially produces a larger net LULCC flux which decreases towards the end of the period and even becomes smaller than in the baseline estimate. LULCC uncertainty leads to slightly higher sensitivity in the cumulative net LULCC flux (up to 22 %, reference are the baseline simulations) compared to the starting year of a model simulation (up to 15 %). The contribution from neglecting wood harvest activities (up to 28 % cumulative net LULCC flux) is larger than from LULCC uncertainty and the implementation of land-cover transitions (gross or net transitions) exhibits the smallest sensitivity (up to 13 %). At the end of the historical LULCC dataset in 2014, the LULCC uncertainty retains some impact on the net LULCC flux (±0.15 PgC yr−1 at an estimate of 1.7 PgC yr−1). Of the past uncertainties in LULCC, a small impact persists in 2099, mainly due to uncertainty of harvest remaining in 2014. However, compared to the uncertainty range of the LULCC flux estimated today, the estimates in 2099 appear to be indistinguishable. These results, albeit from a single model, are important for CMIP6 as they compare the relative importance of starting year, uncertainty of LULCC, applying gross transitions and wood harvest on the net LULCC flux. For the cumulative net LULCC flux over the industrial period the uncertainty of LULCC is as relevant as applying wood harvest and gross transitions. However, LULCC uncertainty matters less (by about a factor three) than the other two factors for the net LULCC flux in 2014 and historical LULCC uncertainty is negligible for estimates of future scenarios.
土地利用净变化碳通量估算和敏感性——基于CMIP6强迫的簿记模式的评估
摘要历史上,土地利用和土地覆盖变化引起的碳通量(土地利用和土地覆盖变化净通量)贡献了很大一部分人为碳排放,同时与很大的不确定性有关。本研究旨在通过评估它们在基于包括不确定性估计在内的LULCC数据集(LUH2数据集)的簿记模型(BLUE)中的相对重要性,比较几种敏感性对净LULCC通量的贡献。敏感性实验以Hurtt等人(2011)的方法为基础,比较了LULCC不确定性(高、基线和低土地利用估计值)、簿记模型模拟的开始时间(850、1700和1850)、净面积转换与总面积转换(转移耕作)以及忽略木材采伐对净LULCC通量估计值的影响。附加的析因实验分离了初始条件和过渡对净LULCC通量的不确定性的影响。最后,将历史模拟扩展到未来土地利用情景,以评估过去LULCC不确定性对未来预测的影响。在1850-2014年期间,基线和低LULCC情景产生的累积LULCC净通量相当,而高LULCC估计值最初产生较大的净LULCC通量,该通量在接近期末时减小,甚至比基线估计值更小。与模式模拟开始年份(高达15%)相比,LULCC的不确定性导致累积净LULCC通量的敏感性略高(高达22%,参考基线模拟)。忽略木材采伐活动的贡献(高达28%的累积净LULCC通量)大于LULCC不确定性的贡献,而实施土地覆盖过渡(总或净过渡)的敏感性最小(高达13%)。在2014年历史LULCC数据集结束时,LULCC不确定性对净LULCC通量仍有一定影响(在1.7 PgC年- 1的估计值中±0.15 PgC年- 1)。在LULCC过去的不确定性中,2099年的影响较小,主要是由于2014年剩余的收获不确定性。然而,与今天估计的LULCC通量的不确定性范围相比,2099年的估计似乎无法区分。这些结果虽然来自单一模式,但对CMIP6来说很重要,因为它们比较了起始年份、LULCC的不确定性、应用总转换和木材采伐对LULCC净通量的相对重要性。对于工业期间累计净LULCC通量,LULCC的不确定性与应用木材采伐和总过渡同样相关。然而,对于2014年LULCC净通量而言,LULCC不确定性的影响较小(约为其他两个因素的三倍),对于未来情景的估计,历史LULCC不确定性可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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