首页> 外文期刊>Earth System Dynamics >Bookkeeping estimates of the net land-use change flux – a sensitivity study with the CMIP6 land-use dataset
【24h】

Bookkeeping estimates of the net land-use change flux – a sensitivity study with the CMIP6 land-use dataset

机译:净土地利用变化通量的簿记估计 - 与CMIP6土地使用数据集的敏感性研究

获取原文
           

摘要

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?(Bookkeeping of Land Use Emissions, BLUE) based on a LULCC dataset including uncertainty estimates (the Land-Use Harmonization?2?(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?%; references 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 that 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 of?3) than the other two factors for the net LULCC flux in?2014, and historical LULCC uncertainty is negligible for estimates of future scenarios.
机译:由于土地利用和陆地覆盖变化(净LULCC通量)导致的碳通量历史上有助于大部分人为碳排放,同时与大的不确定性相关。本研究旨在通过评估簿记模型的相对重要性来比较诸如净LULCC通量的几个敏感性的贡献?(土地使用排放量,蓝色)基于Lulcc数据集(土地使用协调?2 ?(luh2)数据集)。敏感性实验构建了伤害et的方法。 (2011)并比较Lulcc不确定性的影响(高,基线和低土地利用估计),簿记模型模拟的开始时间?(850,1700和?1850),净区域转换与总面积转换(移位培养)净化净LULCC通量估计的栽培。其他因子实验将不确定性与初始条件的影响分离,净LULCC通量的转变。最后,历史模拟延长了未来的土地使用场景,以评估过去的LULCC不确定性在未来预测中的影响。在此期间?1850-2014,基线和低LULCC场景产生可比累积的净LULCC通量,而高LULCC估计最初会产生较大的净LULCC通量,其朝向周期结束时降低,甚至比基线估计更小。 。 LULCC不确定性导致累积净LULCC通量的敏感性略高(高达22?%;参考文献是基线模拟),而模型模拟的开始年(最多15?%)。忽视木质收获活动的贡献(最多28次累积的净LULCC通量)大于LULCC不确定性的贡献,并且陆地覆盖过渡的实施(总计或净转型)表现出最小的敏感性(最多13?% )。在历史LULCC数据集结束时,LULCC不确定性保留对净LULCC通量的影响(±0.15?PGC?YRα1,估计为1.7?PGC?YR?1)。在LULCC的过去的不确定性中,少量影响持续存在于2099年,主要是由于收获的不确定性,2014年剩下的收获。然而,与当今估计的LULCC通量的不确定性范围相比,估计估计(估计)似乎无法区分。这些结果虽然来自单一型号,但对于CMIP6来说很重要,因为它们比较了开始年份,LULCC的不确定性,在净LULCC通量上施加总转型和木材收获的相对重要性。对于工业期间累积净LULCC通量,LULCC的不确定性与应用木材收获和总转型一样重要。然而,LULCC不确定性较少(大约一个因素?3)比2014年净LULCC通量的其他两个因素,历史LULCC不确定性可忽略不计,以估计未来情景。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号