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遥感技术与应用  2009, Vol. 24 Issue (2): 246-251    DOI: 10.11873/j.issn.1004-0323.2009.2.246
综述     
动态全球植被模型的研究进展
王旭峰1,马明国1,姚辉2
(1.中国科学院寒区旱区环境与工程研究所,甘肃 兰州 730000|2.菏泽市建设局,山东 菏泽 274000)
Advance in Dynamic Global Vegetation Models
WANG Xu-feng1,MA Ming-guo1,YAO Hui2
(1.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy ofSciences,Lanzhou 730000,China|2.Heze Construction Buaeau,Heze 274000,China)
 全文: PDF(779 KB)  
摘要:

植被与气候之间的相互作用是一个复杂的过程,为了研究植被与气候之间相互作用的机理和评价气候变化对植被影响,植被模型得以迅速发展,并从静态的植被模型发展到了动态全球植被模型(Dynamic Global Vegetation Model,DGVM)。DGVM主要模拟植被的生理过程、植被动态、植被物候和营养物质循环,包括动态的生物地球化学模型和动态的生物地球物理模型两类。国际上应用最广泛的DGVM有LPJ、IBIS、VECODE和TRIFFID等。目前DGVM研究的焦点主要有4个:①模型本身的完善;②不同模型比较研究;③与气候模型的耦合研究;④碳数据同化系统研究。

关键词: DGVM植被动态生态系统    
Abstract:

The interaction between vegetation and climate is a complicated process.Many vegetation models were developed to understand the mechanism of interacting between vegetation and climate and assess the effects of climate change on vegetation.Furthermore,vegetation models have progressed from Static Vegetation Models (SVMs) to Dynamic Global Vegetation Models (DGVMs).DGVMs include the dynamic biogeochemical models and dynamic biogeophysical models,which mainly simulate the vegetation physiological processes,the vegetation dynamics,the vegetation phenophase and the nutrient cycling.The widely used DGVMs in the world include LPJ,IBIS,VECODE,TRIFFID and so on.The present research on DGVMs mainly focuses on four points:① the improvement of the accuracy of DGVMs; ② the comparison among different models; ③ the integrated model of DGVMs and Climate Models; ④ the research on the Carbon Cycle Data Assimilation System (CCDAS).

Key words:  Dynamic Global Vegetation Model (DGVM)    Vegetation dynamic    Ecosystem
收稿日期: 2008-10-23 出版日期: 2012-02-29
:  P 463.22  
基金资助:

中国科学院西部行动计划(二期)项目(KZCX2-XB2-09-03)和国家重点基础研究发展计划(973,2009CB421305)联合资助。

作者简介: 王旭峰(1984-)男|硕士研究生|主要从事动态植被模拟研究。E-mail:wxfgis2002@sina.com。
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引用本文:

王旭峰,马明国,姚辉. 动态全球植被模型的研究进展[J]. 遥感技术与应用, 2009, 24(2): 246-251.

WANG Xu-feng,MA Ming-guo,YAO Hui. Advance in Dynamic Global Vegetation Models. Remote Sensing Technology and Application, 2009, 24(2): 246-251.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2009.2.246        http://www.rsta.ac.cn/CN/Y2009/V24/I2/246

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