黄土高原近30年植被变化特征及其气候驱动

The use of Normalized difference vegetation index (NDVI) data acquired with multiple satellite sensors has become a necessity in research fields such as agriculture, Land-Use and Land-Cover Change (LUCC) and changes in the natural environment. In this paper, vegetation 10-day composite (VGT-S10) NDVI data with a 1 km×1 km resolution, covering the period from April 1982 to December 2011 and Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modelling and Mapping Studies (GIMMS) NDVI data with a 8 km×8 km resolution, covering the period from April 1998 to December 2006 were used. The VGT NDVI covering the period from 2007 to 2011 was converted to the GIMMS NDVI for the same period. The vegetation trend during 1982 to 2011 was calculated using the extended NDVI data set. Climate change has a large impact on the vegetation dynamics. A series of statistical analyses were employed to demonstrate the relationship between NDVI and meteorological data during 1982 to 2005. A multiple correlation analysis was applied to validate the association between the two climatic factors and monthly maximum NDVI (MNDVI). The partial correlation coefficient of MNDVI and each climate factor were calculated respectively to describe the singular influence of each meteorological variable. The results indicated that temperature made a significant positive influence on vegetation growth in the whole Loess Plateau. Precipitation is the most important climatic factor that closely correlates with MNDVI, particularly in arid and semi-arid environments. However, in some wet regions, precipitation is not a limiting factor on vegetation growth.     

Ecological properties of soil water and effects on forest vegetation in the Loess Plateau

In the Loess Plateau of China, soil water has three ecological properties: high infiltration capacity, high storage capacity and availability to deep plant roots. Soil desiccation is the most serious problem for forest vegetation in the Loess Plateau. Arid soils are the result of intensified soil desiccation caused by disturbances in plant succession, which constitute the ecological foundation of soil water. The negative effects of the arid soil layer on surface water infiltration for recharging underground water are discussed in terms of ecological hydrology. The arid soil layer disrupts the link between surface water and underground water and prevents vertical precipitation infiltration from supplementing underground water. Forest vegetation has a significant runoff-retaining efficiency that reduces total runoff from forest areas leading to low surface and ground runoff which affect the water cycle on a watershed scale.     

基于VEGETATION数据的区域生态系统质量评价之一——指标体系选择

目前,环境资源问题已经对我国建设"和谐社会"构成了严重挑战,如何选取合适的评价指标体系和构建生态评价模型对生态系统进行准确的评价是困难的,也是十分必要的.从生态系统的平衡、波动、干扰及阈值等基本特点出发,构建了区域生态质量评价指标体系包括生产能力指数、服务功能的稳定度指数和人口压力指数三大指标.     

Short reviews by the Editor

Soil desiccation is a major issue limiting development and sustainability of forest vegetation in the Loess Plateau of China. Better understanding of the mechanisms of soil desiccation in the Loess Plateau can help scientists and forest managers improve vegetation management practices. The arid soil layer is the ecological aftermath of intense soil desiccation due to disturbed plant succession and soil water reduction. The formation and types of arid soil layer in the Loess Plateau were investigated to determine major causes of soil desiccation and its impact on forest vegetation. The negative effects of soil desiccation on the ecological environment and forest vegetation mainly include drying microclimate, degrading soil quality, poor vegetation growth, difficult forest renewal from natural seed banks, making it even more difficult to reforest forest lands and grasslands following plant senescence. Low precipitation, high evaporation, soil and water losses, improper selection of vegetation types, and too high population density of trees are probably the major reasons for the arid soil layer. Proper selection of vegetation types, adjusting tree density and other management practices can reduce the negative effects of the arid soil layer on forest vegetation.     

利用CASA模型估算黑河流域净第一性生产力

陆地生态系统是维系生物圈乃至人类存在与发展的生命支持系统。该系统净第一性生产力估算研究有助于寻找陆地植被从大气中固定碳的数量及影响其时空分布的驱动因子。基于CASA(Carnegie Ames Stanford Approach)模型,结合多光谱遥感数据和气候数据,模拟干旱半干旱典型区黑河流域1998~2002年净第一性生产力的时空分布,并分析和探讨了上、中、下游NPP的驱动因子。研究结果证明CASA模型适用于内陆河流域范围内NPP研究;通过分析黑河流域上、中、下游的NPP变化与气温、降水、太阳辐射和NDVI的相关关系,发现上游山区NPP与热量相关性显著,中游地区由于人工绿洲对水资源的截留用于作物灌溉,NPP相对稳定,下游的NPP受热量和水分因素共同复杂控制。