检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]东北师范大学城市与环境科学学院,吉林长春130024
出 处:《地理科学》2013年第2期181-188,共8页Scientia Geographica Sinica
基 金:中央高校基本科研业务费专项资金(11SSXT134)资助
摘 要:基于GIMMS NDVI数据、GIS技术,综合运用趋势线分析、统计分析和空间自相关分析方法,对1982-2006年大兴安岭整体及各生态地理区域植被特征进行检测分析。结果表明:从整体来看,大兴安岭植被NDVI增加趋势明显,NDVI呈现上升趋势的区域约占研究区总面积的80%;NDVI对气象因子变化敏感,尤其是对气温的敏感程度高于降水;并且在全局范围内呈现正的自相关,不同生态地理区内的全局自相关系数自北向南逐渐升高。各生态地理区NDVI变化趋势差异明显,植被退化的区域集中在大兴安岭北段和中段,在局部自相关分析中NDVI仍然呈现高-高聚集趋势;北段西侧天然植被破坏严重,低—低聚集的区域在逐渐扩大;南段草原区NDVI上升趋势显著,与气象因子的相关程度与其他三个生态地理区相比较低。In recent years, ecological deterioration trend of the mountain regions caused by global climate change and unreasonable resource development increased gradually. In this article, the spatial distribution and dynamic change of vegetation cover in the Greater Khingan Mountains are analyzed based on 8-kin resolution GIMMS NDVI data from 1982 to 2006. Combining the meteorological data, the relationship between NDVI and climatic factors of vegetation variation response to climate change was discussed. The average NDVI val- ues of the north and center were higher (0.65 and 0.63) than those of the northwest and south (0.57 and 0.51). The results showed that the NDVI values in Greater Khingan Mountains was increased more than decreasing in 1982-2006. The NDVI increased and decreased area covered about 80% and 20% of the whole study area re-spectively. Spatial changing trend of NDVI had great difference and most parts in different eco-geographical indistinct change. The decreased area was distributed in north, and center of the mountains. The region with marked increasing trend was mainly distributed on the south of the Greater Khingan Mountains. There was sig- nificant positive correlation between NDVI and climatic factors (temperature and precipitation), and NDVI had a stronger correlation with temperature than that with precipitation for the four eco-geographical region. By other factors, the weakest correlation was shown in the steppes vegetation cover region. The NDVI in Greater Khingan Mountains showed positive spatial autocorrelation in the whole region and similar NDVI were apt to aggregate together. A downward trend is detected in the high-high autocorrelation type, which tends to spread toward the lower reach of the north and center. The opposite result is obtained for the low-low autocorrelation type in the northwest.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.94