定量分析气象因素对NPP的影响——以贵州省为例

Quantitative Analysis of the Impact of Meteorological Factors on NPP—A Case Study of Guizhou Province

摘要: 本文以贵州省为例，基于2000~2019年NPP数据，采用Slope法定量分析NPP变化趋势，并采用相关性分析法探讨温度和降水对NPP的影响，结果表明：(1) 植被NPP的Slope趋势介于−0.03~0.02，Slope > 0的像元值大概占比为80.3%，Slope < 0的像元值大概占比为19.7%，表明研究区整体植被NPP呈一个明显增加趋势；(2) 贵州省植被NPP与降水的相关系数介于−0.67~0.71，偏相关系数介于−0.46~0.53，呈正相关区域主要集中在黔东南苗族侗族自治州、黔南布依族苗族自治州，受降雨负向影响相关的区域主要集中在遵义市西部和毕节市部分地区；(3) 贵州省植被NPP与温度的相关系数介于−0.62~0.90，偏相关系数介于−0.44~0.65，黔南布依族苗族自治州西部、铜仁市东南部地区呈显著负相关，遵义市、毕节市西部、黔东南苗族侗族自治州NPP与温度呈显著正相关。

Abstract: Taking Guizhou Province as an example, on account of NPP data from 2000 to 2019, slope method was used to quantitatively analyze the variation trend of NPP, and Pearson correlation analysis was used to explore the impact of temperature and precipitation on NPP. The results show that: (1) The Slope trend of NPP of vegetation is between −0.03~0.02, and the pixel value of Slope > 0 accounts for about 80.3%, and the pixel value of Slope accounts for about 19.7%, indicating that the overall NPP of vegetation in the study area shows an obvious increasing trend; (2) The correlation coefficient between NPP and precipitation in Guizhou province was −0.67~0.71, and the partial correlation coefficient was −0.46~0.53. The positive correlation area was mainly concentrated in Qiandongnan Miao and Dong Autonomous Prefecture and Qiandongnan Buyi and Miao Autonomous Prefecture, and the areas negatively affected by rainfall were mainly concentrated in the west of Zunyi city and part of Bijie City. (3) The correlation coefficient between NPP of vegetation and temperature in Guizhou province was between −0.62 and 0.90, and the partial correlation coefficient was between −0.44 and 0.65. There was a significant negative correlation between NPP of vegetation and temperature in the west of Qiannan Buyi and Miao Autonomous Prefecture and the southeast of Tongren city, and a significant positive correlation between NPP of vegetation and temperature in Zunyi City, west of Bijie City and Qiandongnan Miao and Dong Autonomous Prefecture.