遥感GPP模型在亚热带常绿林的应用比较  

Comparison of Different GPP Models in Subtropical Evergreen Forest Sites

作　　者：杨明兴[1] 代侦勇[1] 杜启勇 强淼 YANG Mingxing;DAI Zhenyong;DU Qiyong;QIANG Miao(School of Resource and Environmental Sciences,Wuhan University,Wuhan 430079,China;Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]武汉大学资源与环境科学学院,湖北武汉430079 [2]中国科学院成都山地灾害与环境研究所,四川成都610041 [3]中国科学院大学,北京100049

出　　处：《测绘地理信息》2019年第1期69-73,共5页Journal of Geomatics

基　　金：国家重点研发计划(2016YFC0200900)

摘　　要：陆地生态系统总初级生产力(gross primary productivity,GPP)是一个估算地球支持能力和评价生态系统可持续发展的重要指标。本文选取了千烟洲和鼎湖山两个不同的站点,对比了不同的遥感GPP估算模型(VPM模型、ECLUE模型、MODIS-PSN模型、TG模型)的测度结果,并选取了不同的生长季作为环境限定因素之一并分析了不同输入参数因子之间的相关性以此来对模型进行比较研究,为模型的选择应用提供参考信息。The gross primary productivity(GPP)is an important indicator used to estimate the sustaining power of the earth and evaluate the sustainable development of the ecosystem.At present,agreat deal of research about the forest ecosystem carbon dynamics is in temperate and warm temperate zone.For the subtropical zone,research work is developing rapidly,but still relatively lacking.In this research,the author choses two different sites Qianyanzhou and Dinghushan to compare the results of different Remote sensing of GPP estimation models(VPM,EC-LUE,MODIS-PSN,TG).In order to provide information for application of different models,this research takes different growing seasons as one limiting factor of environment and analyses the correlation among the different input parameters to compare the models.Finally,the research finds out that the influences of the models come from different ways.In the calibration phase,TG underestimates the actual value of GPP;In different environments,for different growing seasons,the same model is also undervalued or overvalued.The research also finds that the values of EVI,NDVI and LSWI in Qianyanzhou are all higher than that of Dinghushan.

关 键 词：总初级生产率 亚热带常绿林 光能利用率模型 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]