区域尺度下气候因子的插值优化及其与草地NPP的相关性

利用甘肃省及周边42个气象站点的气象数据和154个草地样地地上生物量（风干质量）实测数据，在AMMRR插值方法的基础上，加入坡度、坡向两个变量，对甘肃省1996－2005年的年均温和年降水量、不同季节温度和降水量进行空间模拟，并分析了甘肃省年均温和年降水量的空间分布格局，以及草地净初级生产力(NPP)对年均温、年降水量和不同季节温度、降水量的响应。结果表明，1）相对其他插值方法，引入了坡度、坡向等微观地理因子的AMMRR插值方法，可充分体现甘肃省的年均温、年降水量受地形影响的微观变化，更符合实际情况。2）除冬季外，草地NPP与不同时期的温度之间均呈显著负相关（P<0.01），与不同时期的降水量均呈显著正相关（P<0.01），而且与降水量的相关性明显高于温度。

Interpolation optimization of climatic factors and its correlation analysis with grassland NPP under regional scale

With the climatic data from 42 stations and measured data of grassland aboveground biomass from 154 sites located in and around Gansu Province, the spatial distribution of annual average and seasonal temperature, annual and seasonal precipitation from 1996 to 2005 was simulated, and its spatial distribution pattern and correlation with grassland NPP were analyzed based on improved AMMRR（Analytic Method based on Multiple Regression and Residues） interpolation method (considering slope and aspect). The results showed that：1) comparing with other interpolation methods, improved AMMRR method could completely embody the microcosmic variation of annual average temperature and annual precipitation response to the effect of topography, which was more suitable to simulate realistic situation. And 2) there was significant negative correlation between grassland NPP and temperature in each period except winter, but opposite to precipitation. Moreover, the correlation between grassland NPP and precipitation was higher than temperature.