DOI: 10.1002/2017MS000934
Scopus记录号: 2-s2.0-85028871086
论文题名: Process-based TRIPLEX-GHG model for simulating N2O emissions from global forests and grasslands: Model development and evaluation
作者: Zhang K ; , Peng C ; , Wang M ; , Zhou X ; , Li M ; , Wang K ; , Ding J ; , Zhu Q
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 5 起始页码: 2079
结束页码: 2102
语种: 英语
英文关键词: Calibration
; Ecosystems
; Forestry
; Nitrification
; Nitrogen oxides
; Sensitivity analysis
; Environmental conditions
; Forest and grassland
; Integrated biosphere simulators
; Nitrification and denitrification
; Nitrification rates
; Process-based modeling
; Sensitive parameter
; Site scale
; Greenhouse gases
; boreal forest
; denitrification
; ecological modeling
; environmental conditions
; grassland
; nitrous oxide
; seasonal variation
; snowmelt
; temperate forest
; tropical forest
英文摘要: The development of the new process-based TRIPLEX-GHG model derives from the Integrated Biosphere Simulator (IBIS), which couples nitrification and denitrification processes to quantify nitrous oxide (N2O) emissions from natural forests and grasslands. Sensitivity analysis indicates that the nitrification rate coefficient (COENR) is the most sensitive parameter to simulate N2O emissions. Accordingly, we calibrated this parameter using data from 29 global forest sites (across different latitudes) and grassland sites. The average nitrification rate coefficient gradually increases in the order of tropical forest to grassland to temperate forest to boreal forest, and giving means of 0.009, 0.03, 0.04, and 0.09, respectively. This study validated the mean value for each ecosystem at 52 sites globally. Calibration results both indicate the good performance of the model and its suitability in capturing seasonal variation and magnitude of N2O flux; however, it is limited in modeling N2O uptake and increments during periods of snowmelt. Additionally, validation results indicate that simulated and observed annual or seasonal N2O fluxes are highly correlated (R2 = 0.75; P < 0.01). Consequently, our results suggest that the model is suitable in simulating N2O emissions from different forest and grassland land types under varying environmental conditions on a global scale. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75729
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: College of Forestry, Center for Ecological Forecasting and Global Change, Northwest A&F University, Yangling, China; Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, Montreal, QC, Canada
Recommended Citation:
Zhang K,, Peng C,, Wang M,et al. Process-based TRIPLEX-GHG model for simulating N2O emissions from global forests and grasslands: Model development and evaluation[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(5)