基于BEPS模型的东北三省森林生态系统NPP模拟  

NPP Simulation of Forest Ecosystem in Three Provinces of Northeast China Based on BEPS Model

作　　者：毛学刚[1] 焦裕欣 张颖[1] 

机构地区：[1]东北林业大学林学院,哈尔滨150040

出　　处：《森林工程》2017年第1期22-27,共6页Forest Engineering

基　　金：国家自然科学基金(31300533)

摘　　要：为了精确模拟森林生态系统净初级生产力(NPP)及研究东北森林生态系统NPP分布特征,本研究选取东北三省为研究区域,应用遥感和过程模型相结合的方法,采用1km的MODIS遥感数据、逐日气象数据、土壤数据等相关数据,对2012年东北三省的森林生态系统NPP进行估算,并采用多种方法进行验证,分析东北三省森林生态系统NPP的空间分布格局及季节变化规律。结果表明:模拟的净生态系统生产力(NEP)与帽儿山通量站点测量的净生态系统碳交换量(NEE)的决定系数(R^2)为0.88~0.92,均方根误差(RSME)为0.3~1.4 g C/(m·m·d),说明BEPS模型能够较好地估算东北三省森林生态系统的NPP。估算的针叶林、阔叶林、针阔混交林NPP平均值都介于各个学者的模拟结果之间,估算结果比较合理。In order to more accurately simulate the net primary productivity （NPP） of forest ecosystem and study NPP distribution characteristics in the Northeast China, three Provinces located Northeast China were selected as the study areas using the method of re-mote sensing combining the process model. 1 km MODIS remote sensing data, daily meteorological data, soil data and other relevant data were used to estimate net primary productivity of forest ecosystem in three northeastern provinces in 2012. Multiple methods were employed to validate the results. The spatial distribution pattern and the seasonal variation of NPP were analyzed in three provinces. The results showed that the determination coefficient（ R^2 ） between the simulated net ecosystem productivity（ NEP） and the measured net ecosystem carbon exchange（ NEE） at MaoEr Montain site was from 0. 88 to 0. 92 with the root mean square error（ RSME） of 0. 3 - 1.4 gC/m · m · d. It was concluded that BEPS model can better estimate the NPP of three provinces in northeast forest ecological system. The average values of NPP in the coniferous forest, broad - leaved forest and mixed forest didn’t exceed the simulation results of the different scholars, so the result was reasonable.

关 键 词：净初级生产力 BEPS 东北森林 生态过程模型 

分 类 号：S718.5[农业科学—林学]