Examining the direct and indirect effects of climatic factors on vegetation growth is critical to understand the complex linkage between climate change and vegetation dynamics. Based on the Moderate Resolution Imaging Spectroradiometer(MODIS) Normalized Difference Vegetation Index(NDVI) data and meteorological data(temperature and precipitation) from 2001 to 2012, the trend of vegetation dynamics were examined in the Ziya-Daqing basins, China. The path analysis was used to obtain the information on the relationships among climatic factors and their effects on vegetation growth. It was found that the trends of growing season NDVI were insignificant in most plain dry land, while the upward trends were significant in forest, grass and dry land in Taihang Mountains. According to the path analysis, in 23% of the basins the inter-annual NDVI variation was dominated by the direct effect of precipitation, in 5% by the direct effects of precipitation and temperature, and in less than 1% by the direct effect of temperature or indirect effects of these two climatic factors. It indicated that precipitation significantly affected the vegetation growth in the whole basins, and this effect was not regulated by temperature. Precipitation increase(especially in July, August and September) was favorable to greenness enhancement. Summer temperature rising showed negative effect on plant productivity enhancement, but temperature rise in April was beneficial for the vegetation growth. When April temperature increases by 1℃, the onset date of greenness for natural vegetation will be 2 days in advance. There was a lag-time effect of precipitation or temperature on monthly NDVI for all land use types except grass.
气候变化对流域径流的影响显著,但不同流域径流对各气候因子敏感性不同,具有明显的空间分异性。本文以位于半湿润、湿润地区的松花江、子牙河以及西苕溪流域为例,基于Budyko水热平衡经验模型,采用归因分析方法分离了气象要素趋势性变化对年径流和潜在蒸发变化率的贡献与差异性。结果表明:1960-2008年,在上述3个流域中,降水趋势性变化对年径流变化的贡献比潜在蒸发大。松花江和子牙河流域各气象要素趋势性变化对潜在蒸发变化率的贡献排序为:温度>风速>水汽压>日照时数,而西苕溪流域为:温度>日照时数>风速>水汽压。在气候要素共同作用下,松花江和子牙河流域平均年径流分别以0.48和1.51 mm a-2的速率减少,而西苕溪流域年径流则以1.42 mm a-2的速率增加。所得结果加深了气候变化对径流影响机制和程度的认识,可作为流域水资源适应性管理的科学依据。
