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| 1 | Correlation analysis between vegetation coverage and climate drought conditions in North China during 2001–2013显示文摘Climate change is one of the most important factors that affect vegetation distribution in North China. Among all climatic factors, drought is considered to have the most significant effect on the environment. Based on previous studies, the climate drought index can be used to assess the evolutionary trend of the ecological environment under various arid climatic conditions. It is necessary for us to further explore the relationship between vegetation coverage(index) and climate drought conditions. Therefore, in this study, based on MODIS-NDVI products and meteorological observation data, the Palmer Drought Severity Index(PDSI) and vegetation coverage in North China were first calculated. Then, the interannual variations of PDSI and vegetation coverage during 2001–2013 were analyzed using a Theil-Sen slope estimator. Finally, an ecoregion perspective of the correlation between them was discussed. The experimental results demonstrated that the PDSI index and vegetation coverage value varied over different ecoregions. During the period 2001–2013, vegetation coverage increased in the southern and northern mountains of North China, while it showed a decreasing trend in the Beijing-Tianjin-Tangshan City Circle area and suburban agricultural zone located in Hebei Province and Henan Province). Over 13 years, the climate of the northeastern part of North China became more humid, while in the southern part of North China, it tended to be dry. According to the correlation analysis results, 73.37% of North China showed a positive correlation between the vegetation coverage and climate drought index. A negative correlation was observed mainly in urban and suburban areas of Beijing, Tianjin, Hebei Province, and Henan Province. In most parts of North China, drought conditions in summer and autumn had a strong influence on vegetation coverage. | GONG Zhaoning ZHAO Shuyi GU Jinzhi | 2017 | Journal of Geographical Sciences2017，27，2： | 38 |
| 2 | Investigating the dynamics of wetland landscape pattern in Beijing from 1984 to 2008显示文摘北京沼泽地的风景模式由于自然、人工的元素经历了一个重要变化。由遥感和 GIS 技术支持了,用在北京的从 1984~2008 的多时间的 TM 图象,这份报纸包括补丁区域通过选择典型索引分析了沼泽地风景模式的动态特征,补丁一般水准区域,分数维的尺寸索引,差异,优势,传染索引和每种沼泽地类型的空间矩心是计算的。最后,纸探索了进化模式和沼泽地风景模式的开车因素。结果如下被获得:全部的沼泽地区域在时期期间增加了 19841996,然后从 1996 ~ 2004 衰退。在 1994 的沼泽地区域说明了仅仅那中的 47.37% 个在 2004。人工的沼泽地区域的比例比自然沼泽地的大。水库沼泽地的比例是 33.50% ~ 53.73% 并且有最大的平均区域。有最少的平均区域的池溏和稻地沼泽地类型说明了 16.46% ~ 45.09% 全部的沼泽地区域。自然的河沼泽地的驱动力主要是自然元素;它的分数维的尺寸索引比其它大。沼泽地风景的香农差异索引在 2004 在 1992 ~ 1.34 从 1.11 增加了,显示每种沼泽地类型的比例之间的差别减少了,每种沼泽地类型的区域是均匀地分布式的。传染索引从 65.59 ~ 58.41 下沉了,显示连接降级了。Miyun 水库有最大的区域,它的区域变化在矩心的地点上有大影响。沼泽地资源从自然、人工的因素的联合效果逐渐地堕落了。在时期期间 20062008,增加的降水和干旱条件被减轻。政府实现了积极政策的系列节省水资源,并且沼泽地区域增加了。 | ZHANG Yiran GONG Zhaoning GONG Huili ZHAO Wenji | 2011 | Journal of Geographical Sciences2011，21，5： | 16 |
| 3 | Using remote sensing to research Beijing wetlands dynamics显示文摘In Beijing, where wetlands are important to municipal freshwater conservation and biodiversity retention, three different types of wetlands were identified: riverside wetlands, wetlands surrounding lakes and reservoirs, and wetlands in municipal parks.Remote sensing technology was applied in combination with field investigations to monitor and analyze the changes in these wetlands, and a combination of fusion technologies,Landsat TM/ETM+ and IKONOS imaging, was used to investigate and map them. This study indicates that not only have wetland areas been reduced by half, but also their ecological environments have been degraded because of rapid economic development and population increase. Suggestions based on this research are made to reconstruct the ecological environment of the wetlands and return them to their previous state. | ZHAO Wenji, GONG Zhaoning, GONG Huili, LI Xiaojuan, ZHANG Songmei & LI Jing Key Lab of Resource Environment and GIS of Beijing, Capital Normal University, Beijing 100037, China Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China | 2006 | Science China(Technological Sciences)2006，49，z2： | 3 |
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