modellingsoilgreenhousegasfluxesfromabroadleavedkoreanpineforestinchangbaimountainforestdndcmodelvalidation

CORC > 地理科学与资源研究所 > 中国科学院地理科学与资源研究所 > 生态系统研究网络观测与模拟重点实验室 > CERN水分分中心

	modellingsoilgreenhousegasfluxesfromabroadleavedkoreanpineforestinchangbaimountainforestdndcmodelvalidation
	Ye Shu 2; Guo Chuying 2; Han Jiayin 2; Zhang Leiming 2; Dai Guanhua 1; Wen Xuefa 2; Yu Guirui 2
刊名	journalofresourcesandecology
	2019
卷号	10 期号:2 页码:127
ISSN号	1674-764X
英文摘要	Fluctuations in soil greenhouse gas (GHG) are an important part of the terrestrial ecosystem carbon-nitrogen cycle,but uncertainties remain about the dynamic change and budget assessment of soil GHG flux.Using high frequency and consecutive soil GHG fluxes measured with an automatic dynamic chamber system,we tested the applicability of the current Forest-DNDC model in simulating soil CH_4,CO_2 and N_2O fluxes in a temperate broad-leaved Korean pine forest at Changbai Mountain.The results showed that the Forest-DNDC model reproduced general patterns of environmental variables,however,simulated seasonal variation in soil temperature,snow melt processes and soil moisture partly deviated from measured variables,especially during the non-growing season.The modeled CH_4 flux was close to the field measurement and co-varied mainly with soil temperature and snowpack.The modeled soil CO_2 flux had the same seasonal trend to that of the observation along with variation in temperature,however,simulated CO_2 flux in the growing season was underestimated.The modeled N_2O flux attained a peak in summer due to the influence of temperature,which was apparently different from the observed peak of N_2O flux in the freeze-thaw period.Meanwhile,both modeled CO_2 flux and N_2O flux were dampened by rainfall events.Apart from consistent estimation of annual soil CH_4 flux,the annual accumulation of CO_2 and N_2O was underestimated.It is still necessary to further optimize model parameters and processes using long-term high-frequency observation data,especially transference of heat and water in soil and GHG producing mechanism.Continues work will improve modeling,ecosystem carbon-nitrogen budget assessment and estimation of soil GHGs flux from the site to the region.
语种	英语
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/75575]
专题	地理科学与资源研究所_生态系统研究网络观测与模拟重点实验室_CERN水分分中心
作者单位	1.中国科学院沈阳应用生态研究所 2.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Ye Shu,Guo Chuying,Han Jiayin,et al. modellingsoilgreenhousegasfluxesfromabroadleavedkoreanpineforestinchangbaimountainforestdndcmodelvalidation[J]. journalofresourcesandecology,2019,10(2):127.
APA	Ye Shu.,Guo Chuying.,Han Jiayin.,Zhang Leiming.,Dai Guanhua.,...&Yu Guirui.(2019).modellingsoilgreenhousegasfluxesfromabroadleavedkoreanpineforestinchangbaimountainforestdndcmodelvalidation.journalofresourcesandecology,10(2),127.
MLA	Ye Shu,et al."modellingsoilgreenhousegasfluxesfromabroadleavedkoreanpineforestinchangbaimountainforestdndcmodelvalidation".journalofresourcesandecology 10.2(2019):127.