森林工程2024，Vol.40Issue(1)：74-84,11.DOI:10.3969/j.issn.1006-8023.2024.01.009
基于BEPS模型的塞罕坝植被净初级生产力时空变化分析研究
Analysis of Spatial and Temporal Variation of Vegetation Net Primary Productivity in Saihanba Based on BEPS Model
摘要
Abstract
Leaf area index(LAI)is the key driving data of BEPS model,and it is important to obtain high accuracy LAI for re-gional forest ecosystem carbon cycle,however,the MODIS LAI products used in most current studies lack credibility.To this end,this study constructed a data assimilation system based on LAI dynamic model,PROSAIL radiative transfer model and Hierarchical Bayes-ian Network(HBN)to obtain LAI data with a spatial resolution of 20 m to drive the BEPS model and simulate the vegetation net prima-ry productivity(NPP)of Saihanba Mechanical Forest during 2011-2021,and the spatial and temporal variation of NPP and the influ-encing factors of NPP were analyzed.The results showed that the high-resolution LAI data obtained based on Bayesian assimilation method greatly improved the accuracy of MODIS LAI products;the correlation between the simulated forest NPP obtained from BEPS model driven by assimilated LAI data and the NPP calculated from the sample plots was high(R2=0.77);the mean value of vegeta-tion NPP in Saihanba Mechanical Forest during 2011-2021 was 307.4 g/(m2·a),and the NPP of forest showed a steady growth trend;the simulated NPP of different vegetation types were different,and the simulated NPP of coniferous,deciduous and mixed for-ests were 484.9,402.4,287.9 g/(m2·a);the correlation between vegetation NPP and temperature factor was high,and the bias correlation coefficient was 0.2-0.8,while the correlation between vegetation NPP and precipitation was relatively low in general,with bias correlation coefficients of-0.3-0.4.The influence of precipitation on vegetation NPP was low in this region,and temperature was the dominant factor of NPP variation in this region.In this study,high spatial resolution LAI data were obtained to provide a basis for accurate spatial and temporal simulation of the carbon cycle in forest ecosystems.关键词
塞罕坝/叶面积指数/BEPS模型/植被净初级生产力Key words
Saihanba/leaf area index/BEPS model/vegetation net primary productivity分类
农业科技引用本文复制引用
包志意,范文义..基于BEPS模型的塞罕坝植被净初级生产力时空变化分析研究[J].森林工程,2024,40(1):74-84,11.基金项目
国家自然科学基金(31971654). （31971654）
