利用2000—2010年大敦煌境内及周边地区的17个气象站点和MODIS数据,通过改进的光能利用率概念模型(CASA),反演了大敦煌NPP的空间格局,并从年尺度和月尺度上分析大敦煌NPP与气候变化的关系。研究表明:①2000—2010年间,大敦煌的NPP出现稀疏的“小块状”或“条带状”分布,平均NPP为55.89gC/(m^2·a);②大敦煌年降雨量从东南(202.03mm)向西北(34.03mm)呈现递减的趋势,年均温从中间呈“条带状”分布的高值区(10.54%)向南北两个方向递减形成低值区(4.27℃);③以年为尺度,大敦煌的绿洲草原区和戈壁荒漠区与年降水量的关系比年均温密切;④以月为尺度,大敦煌NPP与月降水量和月均温的相关性比年尺度低,其原因是植被生长更依赖水热的共同作用,而与单一气候因子的相关性降低;绿洲草原区对降水量存在时滞与累积效应,戈壁荒漠区不存在时滞与累积效应。
Net primary productivity (NPP) is an important index of ecological environmental change and can be used as an indicator of climate change. Satellite images (moderate resolution imaging spectroradiometer) and ground-based observations of climatology at 17 sites in Great Dun Huang and surrounding areas were jointly used to improve the Carnegie-Ames-Stanford approach (CASA) model and estimate NPP in Great Dun Huang from 2000-2010. We found a clear spatial distribution pattern and discuss relationships between NPP values of oasis savannas and the Gobi Desert. Temporal and spatial patterns in NPP appear ‘small block' or ‘stripped' and annual NPP ranges from 0-790.67gCm^-2a^-1 (mean value: 55.89gCm^-2a^-1). Annual precipitation shows a decreasing trend, and ranges from the southeast of the study area at 202.03mm to the northwest at 34.03mm. The annual temperature ranges from the middle present 'stripped' with a high value area of 10.54℃ to the two direction of north and south with a low value area of 4.27℃. The study area is mainly influence by annual precipitation, and it is the main control factor in Great Dun Huang at an annual scale. The analysis between NPP with precipitation and temperature shows that correlation with the monthly scale is lower than with the annual scale, indicating that vegetation growth within a month is more sensitive to the joint function of hydrothermal combination rather than either climate factor. Compared with the Gobi Desert, oasis savannas display a time lag and cumulative effects.