modellingsoilgreenhousegasfluxesfromabroadleavedkoreanpineforestinchangbaimountainforestdndcmodelvalidation
Ye Shu1; Guo Chuying1; Han Jiayin1; Zhang Leiming1; Dai Guanhua2; Wen Xuefa1; Yu Guirui1
2019
Source Publicationjournalofresourcesandecology
ISSN1674-764X
Volume10Issue:2Pages:127
AbstractFluctuations 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.
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/75576
Collection生态系统网络观测与模拟院重点实验室_生态系统综合研究中心
Affiliation1.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences
2.中国科学院沈阳应用生态研究所
Recommended Citation
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.
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