Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model: a comparison between site measurements and model predictions
Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model: a comparison between site measurements and model predictions
复制标题
使用 ECOSSE 模型模拟土地利用变化为生物能源作物后的温室气体：现场测量与模型预测之间的比较
DOI：
10.1111/gcbb.12298
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发表时间：
2015
期刊：
影响因子：
5.6
通讯作者：
Dondini M
中科院分区：
文献类型：
--
作者：
Dondini M
本文评估了ECOSSE模型在土地利用从传统系统（草地和可耕地）改变后，用于估算短轮作灌木林（SRC‐柳树）、短轮作林（SRF‐苏格兰松）和芒草土壤温室气体（GHG）通量的适用性。我们模拟了英国四个配对地点的异养呼吸（Rh）、氧化亚氮（N2O）和甲烷（CH4）通量，并将它们与从涡旋相关（EC）和室内（IRGA）测量得出的生态系统呼吸估算值进行了比较，以及直接测量了N2O和CH4通量。在芒草中发现模型和EC衍生的drh之间存在显著关联，相关系数(r)在0.54和0.70之间。IRGA衍生的hand模型输出在Aberystwyth站点具有统计学意义（r=0.64），但在Lincolnshire站点不显著（r=0.29）。在所有SRC‐Willow位点，模型和测量得到的drh之间存在显著关联（0.44≤r≤0.77）；只有在林肯郡站点的EC衍生数据中发现了显著的错误。在SRF‐苏格兰松和多年生草中也发现了显著的相关性，但没有显著的误差。对于耕地，模拟的二氧化碳仅与IRGA衍生的dr1位点相关（r=0.75）。无论用于模型评估的测量类型如何，在任何地点均未发现模型偏差。在所有土地利用中，ch4和N2O的通量只占温室气体平衡总量的一小部分；这些通量已在每月的时间步长上进行了充分的建模。本研究为利用ECOSSE预测未来土地利用对温室气体平衡的影响提供了信心，无论是在站点水平还是在国家水平。
This article evaluates the suitability of the ECOSSE model to estimate soil greenhouse gas (GHG) fluxes from short rotation coppice willow (SRC‐Willow), short rotation forestry (SRF‐Scots Pine) andMiscanthusafter land‐use change from conventional systems (grassland and arable). We simulate heterotrophic respiration (Rh), nitrous oxide (N2O) and methane (CH4) fluxes at four paired sites in the UK and compare them to estimates ofRhderived from the ecosystem respiration estimated from eddy covariance (EC) andRhestimated from chamber (IRGA) measurements, as well as direct measurements of N2O and CH4fluxes. Significant association between modelled and EC‐derivedRhwas found underMiscanthus, with correlation coefficient (r) ranging between 0.54 and 0.70. Association between IRGA‐derivedRhand modelled outputs was statistically significant at the Aberystwyth site (r=0.64), but not significant at the Lincolnshire site (r=0.29). At all SRC‐Willow sites, significant association was found between modelled and measurement‐derivedRh(0.44 ≤r≤0.77); significant error was found only for the EC‐derivedRhat the Lincolnshire site. Significant association and no significant error were also found for SRF‐Scots Pine and perennial grass. For the arable fields, the modelled CO2correlated well just with the IRGA‐derivedRhat one site (r=0.75). No bias in the model was found at any site, regardless of the measurement type used for the model evaluation. Across all land uses, fluxes of CH4and N2O were shown to represent a small proportion of the total GHG balance; these fluxes have been modelled adequately on a monthly time‐step. This study provides confidence in using ECOSSE for predicting the impacts of future land use on GHG balance, at site level as well as at national level.