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
作 者:黄森旺[1,2] 李晓松[1] 吴炳方[1] 裴亮[2]
机构地区:[1]中国科学院遥感应用研究所,北京100101 [2]辽宁工程技术大学测绘与地理科学学院,阜新123000
出 处:《地理学报》2012年第5期589-598,共10页Acta Geographica Sinica
基 金:中国科学院知识创新工程重大项目(KZCXI-YW-08-03);国家科技支撑项目(2011BAH23804)~~
摘 要:以长时间序列的遥感数据NOAA/AVHRRNDVI为基础,利用Sen趋势度与Mann-Kendall分析法相结合的方式分析了三北防护林工程区1982年到2006年土地退化趋势,结合气候因子降雨,运用残差法模型评价了人类活动在工程区内土地退化中所起的作用。结果表明:区域内土地退化程度整体趋于减轻,即植被上升的区域大于下降的区域,13.00%的地区退化程度显著减轻,6.20%的地区退化程度显著加重。其中绝大多数省份的土地退化程度趋于减轻,尤以内蒙古、青海和新疆最为明显,只有甘肃省土地退化程度明显趋于加重。而人类活动对植被变化起显著正作用的占11.93%,显著负作用的为6.19%。这说明在干旱、半干旱区,由于降雨随时间的变化不显著,对植被变化的影响相对较为微弱,植被显著变化主要受人类活动的影响。It is important to conduct studies on spatio-temporal distribution and drivers based on remote sensing for quantitative estimation of large-scale regional land degradation. In this paper, we analyze the land degradation trend in the Three-North Shelter Forest region of China from 1982 to 2006, using the remotely-sensed data of NOAA/AVHRR Normalized Difference Vegetation Index (NDVI) based on the Sen+Mann-Kendall trend analysis method, and assess the combined effect of human activities and precipitation on the regional land degradation by using the Residual Trends model. The results indicate that the land degradation have a declining trend as a whole, with the significant increase and the significant decrease being 13.00% and 17.29%, respectively. Land degradation in most of the provinces tends to be relatively slight, especially in Inner Mongolia, Qinghai and Xinjiang, while Gansu witnesses the opposite trend. Human activities contributed 11.93% to the significant vegetation increase, and 6.19% to the degradation. This means that in the arid or semi-arid regions, the temporal change of precipitation is not significant, so the obvious vegetation change is mainly affected by human activities.
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:216.73.216.30