长江流域资源与环境 >> 2018, Vol. 27 >> Issue (02): 421-.doi: 10.11870/cjlyzyyhj201802022

• 生态环境 • 上一篇    下一篇

人工园林大面积种植区植被净初级生产力时空变化研究

顾泽贤1,赵筱青1,2*,普军伟1,郑田甜1,卢飞飞1,谈树成1,2   

  1. (1.云南大学资源环境与地球科学学院,云南 昆明 650091;
    2.云南大学“一带一路”战略研究院,云南 昆明 650091)
  • 出版日期:2018-02-20

Study on Spatio-temporal Variation of Net Primary Productivity#br#  in a Region With Large-area Artificial Garden

#br# GU Ze-xian1,ZHAO Xiao-qing1,2,PU Jun-wei1,ZHENG Tian-tian1,LU Fei-fei1, TAN Shu-cheng1,2   

  1. (1.College of Resource Environment and Earth Science, Yunnan University, Kunming 650091, China;
    2. The Institute of the “Belt and Road” Strategy, Yunnan University, Kunming 650091, China)
  • Online:2018-02-20

摘要:

云南西南地区自然资源丰富,近年来,随着社会经济的快速发展,橡胶、茶园和桉树等人工园林大规模种植主要占用了天然林和耕地,土地利用结构和空间布局发生了很大变化。为了探讨土地利用/覆被变化对植被净初级生产力(NPP)的影响,以人工园林大面积种植区西盟县为研究区,运用综合模型、CASA模型和MODIS产品(BIOME-BGC模型),对西盟县2000年、2005年、2010年和2015年各地类NPP的时间变化和空间分布特征进行分析。结果表明:(1)2000~2015年,CASA模型模拟的西盟县NPP呈先减少后增加的趋势,MODIS模型模拟的NPP值变化趋势与CASA模型一致,综合模型则呈现逐年增加的趋势;(2)西盟县NPP的空间分布形态从西至东均呈“低值-高值-低值-高值-低值”(“M”)变化,与西盟县水热资源的分布特征和土地利用/覆被变化有关,西盟县NPP空间变化主要集中于人工园林种植区;(3)3种模型中,CASA模型和MODIS产品(BIOME-BGC模型)比综合模型更适用于地形气候复杂多样的山区NPP的模拟计算,其中CASA模型空间精度更高。
 

Abstract:

Southwest of Yunnan is wealthy in natural resources. With the rapid development of social economy in recent years, artificial-garden, including rubber, tea and eucalyptus were planted on a large scale, which mainly occupied natural forests and arable land. It resulted in changes of land-use structure and space distribution. In order to discuss the effect of land use/cover change on the net primary productivity of vegetation, the paper analyzed temporal variation and spatial distribution of NPP using comprehensive model, CASA model and MODIS products(BIOME-BGC model) of 2000, 2005, 2010 and 2015 in Ximeng County. The results showed that:(1) the NPP of Ximeng County was affected by meteorological change, vegetation types and growth status, and human activities, the values of both BIOME-BGC model and CASA model decreased firstly and then increased, whereas the values of comprehensive model kept increasing during 2000 to 2015;(2) the spatial distribution pattern of vegetation NPP change present as “low-high-low-high-low” type(“M”) from west to east in Ximeng County. It was related to the distribution characteristics of hydro-thermal resources land use/cover change, the spatial distribution change of NPP in Ximeng county was mainly concentrated in artificial-garden planting area;(3) In the three NPP models, the CASA model and the MODIS(BIOME-BGC) model were more suitable for the simulation of NPP in mountainous terrain with complex terrain and climate, and the CASA model was more accurate.
Key words:a region with large-area artificial; NPP; temporal and spatial variation; land use/cover change; CASA model

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