打印
基于PnET-CN模型的亚热带人工针叶林生产力与固碳潜力模拟研究(英文)
编号
zgly0001585494
文献类型
期刊论文
文献题名
基于PnET-CN模型的亚热带人工针叶林生产力与固碳潜力模拟研究(英文)
作者单位
KeyLaboratoryofEcosystemNetworkObservationandModeling(KLENOM)
InstituteofGeographicSciencesandNaturalResourcesResearch
CAS
GraduateUniversityofChineseAcademyofSciences
QianyanzhouEcologicalExperimentalStation
KLENOM
Instituteof
母体文献
Journal of Geographical Sciences
年卷期
2011年03期
年份
2011
分类号
S718.5
关键词
coniferousplantations
PnET-CNModel
validation
foliarNconcentration
Csequestration
文摘内容
A generalized, lumped-parameter ecological model PnET-CN was calibrated and validated for a subtropical coniferous plantation in southern China. PnET-CN model describes the biogeochemical cycles of carbon (C) and nitrogen (N) and can assist in estimating carbon sequestration potential. For validation of PnET-CN, data from coniferous forest plantations in southern China was used. Simulated daily gross primary productivity (GPP) from 2005 to 2007 agreed well with observations (R2=0.56, S.D.=0.009). Simulations of monthly soil res-piration (Rs) from 2005-2007 agreed well with Rs observations (R2=0.67, S.D. =0.03). Simu-lated annual net primary productivity (NPP) from 1998-2006 was 803 33 gCm 2a 1, about 4% higher than NPP observation (752 51 gCm 2a 1). Simulations of annual NEP from 2005 2007 only overestimate 9 gCm 2a 1 (4%), 4 gCm 2a 1 (1%) and 34 gCm 2a 1 (8%) compared to NEP observations, respectively. Simulated annual foliar N concentration (FolNCon) (1.09%) is 10% lower than observed monthly FolNCon (0.87%-1.58%). Simulated annual N leaching (0.26 gNm 2) is about 10% lower than leaching observation (0.29 gNm 2). PnET-CN model valida-tion indicates that PnET-CN is capable to simulate daily GPP, annual NPP, annual NEP, monthly Rs, annual FolNCon and annual nitrate N leaching for subtropical coniferous planta-tions in southern China. The results obtained from the validation test revealed that PnET-CN model can be used to simulate carbon sequestration of planted coniferous forests in southern China to a high level of precision. Sensitivity analysis suggests that great care should be taken in developing generalizations as to how forests will respond to a changing climate. PnET-CN performed satisfactorily in comparison to other models that have already been calibrated and validated in coniferous planted subtropical forests in China. Based on PnET-CN validation and its comparison to other models, future improvement of PnET-CN should focus on seasonal foliar N dynamics and the effects of water stress on autotrophic respirations in subtropical coniferous plantations in southern China.