2000-2016年朝鲜植被覆盖动态变化及其驱动力研究

基于MODIS NDVI探究朝鲜植被覆盖的空间分布格局,运用斜率分析法拟合2000-2016年朝鲜植被覆盖动态变化趋势,运用Pearson相关分析法分析朝鲜植被NDVI与气温、降水的相关性,在此基础上,总结了2000-2016年朝鲜植被覆盖动态变化规律及其驱动因素.结果表明:朝鲜植被覆盖空间分布不均,北部高原、山地区以及中东部山地丘陵区NDVI值最高;西、南海岸地带,平原地区以及东部沿海区NDVI值最低.朝鲜植被生长季NDVI整体上呈减少趋势,但局部有增加趋势,空间差异明显;其中减少面积为39 161 km2,占国土面积的31.9%,增加面积为28 972 km2,占国土面积的23.6%;生长季各月整体上均呈减少趋势,减少幅度5月最大,7月次之,9月最小.植被变化与气温、降水存在相关性,并存在一定程度的滞后性;年际受气温影响略大,年内9月植被与前期1月、前期与同期累积气温存在显著相关性,与当月、前期与同期累积降水存在显著相关性.

Dynamic Changes of Vegetation Coverage and Its Driving Force in North Korea during 2000-2016

The spatial distribution pattern of vegetation of North Korea was explored based on MODIS NDVI.The dynamic change trend of vegetation cover in North Korea during 2000-2016 was fitted.The correlation between NDVI and temperature,precipitation in North Korea by Pearson correlation analysis was analyzed,on the basis of that,the law and cause of dynamic change in North Korea during 2000-2016 was summarized.The results showed that the spatial distribution of vegetation cover in North Korea was uneven.The NDVI value was highest in the northern plateau and mountain areas,as well as in the hilly and hilly areas in the central and eastern part of the country.The NDVI values were lowest in the coastal areas of the west and south,the plains and the eastern coastal areas.Vegetation cover of the overall was reducing,vegetation cover of the local was increasing and the spatial distribution of vegetation cover was different significantly.The area of reduced was 39 161 km2,accounting for 31.9% of the land,the area of increased was 28 972 km2,accounting for 23.6% of the land.The growth season showed less trend in each month,the largest magnitude of the reduced in May ,followed by July,the least magnitude of the reduced in September.Changes of vegetation coverage was related to temperature and precipitation,and had a certain degree of lag.The influence of temperature was slightly larger than the precipitation,within the year,there was a significant correlation between the vegetation of September and the temperature,and there was also a significant correlation between the vegetation of September and the precipitation.