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喀斯特地表植被覆盖变化及其与气候因子相关性分析
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(guizhoushifandaxue diliyuhuanjingkexuexueyuan, guiyang 550025)

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Analysis on the Correlation Between Vegetation Cover of Land Surface and Climatic Factors in Karst Area
LIU Wei, JIAO Shulin, LI Yinjiu, MO Yueshuang, ZHAO Zongquan, ZHANG Jie, ZHAO Meng

(college of geography and environmental science, guizhou normal university, guiyang 550025, china)

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了解植被时空变化及其与气候因子的关系,可以为生态脆弱区植被恢复及保护提供一定的依据。基于气象数据、植被NDVI时序数据,结合样条函数法和相关分析法分析了贵州省1998—2018年植被NDVI时空变化特征,探讨了其与气温、降水在不同时段的相关性。结果表明:(1)1998—2018年植被NDVI以6.4×10-3/a(p<0.01)的速率增长,具有南高北低、东高西低的空间分布规律,植被覆盖度整体较高;(2)1980—2018年气温以0.23℃/10 a(p<0.01)的速率显著上升,四季气温除夏季增长速率为负,其余季节均以不同速率在增温;(3)1980—2018年年累计降水量整体以-10.71 mm/10 a(p>0.1)的速率减少,其中春季降水量在增加,其余季节降水在减少;(4)1998—2018年,植被NDVI的显著增加与气候暖化关系密切,但与降水量关系较弱,夏、秋季气温的升高或者降水的降低有利于植被生长。(5)四季中植被NDVI除冬季约在6.5℃时敏感性最弱约为0.20,其余季节对温度敏感性不明显; 对降水的敏感性各个季节均有差异,其中冬季的抑制作用最为明显,r值约为-0.80。总体而言,贵州省植被覆盖程度较好,呈增长趋势,与气温的相关性较累积降水量高,但敏感性更弱。
Understanding the temporal and spatial variation of vegetation and its relationship with climatic factors can provide some basis for vegetation restoration and protection in ecologically fragile areas. Based on meteorological data and time series data of vegetation NDVI, the temporal and spatial variation characteristics of vegetation NDVI from 1998 to 2018 in Guizhou Province were analyzed by spline function method and correlation analysis method, and the correlation between vegetation NDVI and temperature and precipitation in different time periods was discussed. The results show that:(1)from 1998 to 2018, vegetation NDVI increased at a rate of 6.4×10-3 /a(p<0.01), and the spatial distribution pattern was high in the south and low in the north, high in the east and low in the west;(2)from 1980 to 2018, the temperature increased significantly at a rate of 0.23℃/decade(p<0.01); except for the negative growth rate in summer, the temperature in other seasons increased at different rates;(3)from 1980 to 2018, the annual cumulative precipitation decreased as a whole at a rate of -10.71 mm/decade(p>0.1), in which precipitation increased in the spring while the precipitation decreased in the other seasons;(4)from 1998 to 2018, the significant increase of vegetation NDVI was closely related to climate warming, but weakly related to precipitation; the increase of temperature or the decrease of precipitation in summer and autumn was conducive to vegetation growth;(5)in the four seasons, the weakest vegetation NDVI sensitivity was about 0.20 in winter when it was about 6.5℃, and the sensitivity to temperature was not obvious in the other seasons; the sensitivity to precipitation was different in each season, and the inhibition effect was most obvious in winter, with the r value of about -0.80. In general, the vegetation coverage in Guizhou Province is good, showing an increasing trend, and the correlation with temperature is higher than the cumulative precipitation, but the sensitivity is weaker.
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