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作 者:李继红[1] 焦裕欣 Li Jihong;Jiao Yuxin(Northeast Forestry University,Harbin 150040,P.R.China)
机构地区:[1]东北林业大学,哈尔滨150040
出 处:《东北林业大学学报》2021年第2期70-77,共8页Journal of Northeast Forestry University
摘 要:以东北地区植被指数数据为基础,设置了西南—东北方向、南—北方向两条生态样带,使用小波进行时空时频分析,了解归一化植被指数变化的多尺度特征以及与地形、气候因素的空间多尺度关联性;应用冗余分析定量研究环境因子对归一化植被指数空间分布的影响。结果表明:小波能量谱可以清晰识别归一化植被指数空间尺度结构,在西南—东北、南—北样带上,主要特征为50~70、70~160 km,归一化植被指数在西南—东北方向上的变异性强于南—北方向;小波相干图谱能够直观显示归一化植被指数与环境因子随空间尺度、空间位置变化的依赖关系,在小尺度上地形对植被空间分布起着主导作用,大尺度上气候因子为主要因素。对于西南—东北方向上归一化植被指数,降水量、海拔是其主控因子,其中降水是其空间分异的首要影响因子;在南—北方向上,气温、海拔、降水量是归一化植被指数的主控因子,其中气温是其空间分布的主导因子。With the data of MODIS-NDVI in Northeast China, two ecological transect belts were set up in the direction of southwest to northeast and south to north. We used wavelet to perform spatiotemporal time-frequency analysis to understand the multi-scale characteristics of NDVI changes and the spatial multi-scale correlation with terrain and climate factors, and applied redundant analysis to quantitatively study the impact of environmental factors on the spatial distribution of NDVI. The results shown that wavelet energy spectrum can clearly identify the spatial scale structure of NDVI, and the main characteristics scales along southwest to northeast was 50-70 km, and 70-160 km along to North-South Transect, with the variability in the southwest to northeast direction was stronger than that in the north and south directions. The wavelet coherent map can visualize the dependence of NDVI and environmental factors on spatial scale and spatial location. Terrain plays a leading role in vegetation spatial distribution on a small scale, and climate factors on a large scale. For NDVI in the southwest-northeast direction, precipitation and altitude are the main controlling factors, of which precipitation is the primary influencing factor of spatial differentiation;in the north-south direction, air temperature, altitude and precipitation are the main controlling factors of NDVI, of which temperature is the dominant factor in its spatial distribution.
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