摘要
以四川省大熊猫国家公园为研究区,基于2015年、2017年、2019年三期的MODIS遥感影像数据,采用像元二分模型法、最大值合成法等方法,获得了2015~2019年三期的植被覆盖度空间分布和变化情况。结果表明:整体上看,2015~2019年四川省大熊猫国家公园70%以上区域属于高植被覆盖度区,且绝大多数为核心区;高植被覆盖区平均海拔是2400~3300m,较高和中等植被覆盖区平均海拔是3600~4100m,海拔过高或者过低植被覆盖度都会偏低;植被覆盖度呈逐年增长趋势,高植被覆盖度区域增多7.6%,低植被覆盖度区域减少8.3%;同时,研究区域大熊猫国家公园的一般控制区和核心区均呈现高覆盖度区域面积增加,低、中覆盖度区域面积减少的趋势。可以为今后四川省大熊猫国家公园的建设和管理方案提供一定的科学参考依据。
Taking Giant Panda National Park in Sichuan province as our study area,based on the MODIS remote sensing image data of 2015,2017 and 2019,the spatial distribution of vegetation coverage and changes over the three stages from 2015 to 2019 by using binary model method and Maximum Value Composite method.The results showed that more than 70%of the Giant Panda National Park areas in Sichuan province belonged to the high vegetation coverage area from 2015 to 2019,and most of them were core areas.The average altitude of high vegetation coverage area was 2400 to 3300 meters,and the average altitude of high and medium vegetation coverage area was 3600 to 4100 meters.Too high or too low altitudes will lead to low vegetation coverage.The vegetation coverage showed in increasing trend year by year.The areas with high vegetation coverage gradually increased by 7.6%,and the area with low vegetation coverage gradually decreased by 8.3%.At the same time,both the General Control area and the Core area of the Giant Panda National Park showed a trend of increasing of the high coverage area,and decreasing of low and medium coverage area.This study can provide some scientific references for the construction and management of Giant Panda National Park in Sichuan province in the future.
作者
姜龙
董鑫
古晓东
JIANG Long;DONG Xin;GU Xiao-dong(College of Environmental Science&Engineering,China West Normal University,Nanchong,Sichuan 637000,China;Key Laboratory of Southwest Wildlife Resources Protection,Ministry of Education,Nanchong,Sichuan 637000,China;Forestry&Grassland Administration of Sichuan Province&Sichuan Giant Panda National Park Administration,Chengdu 610081,China)
出处
《四川环境》
2021年第4期191-198,共8页
Sichuan Environment
基金
西华师范大学青年教师科研资助项目(19D041)。