| Assessment of desertification in the agro-pastoral transitional zone in Northern China (1982-2006) using GIMMS NDVI data | |
| An, Youzhi(1,2); Gao, Wei(1,2,3); Gao, Zhiqiang(4); Liu, Chaoshun(1,2); Shi, Runhe(1,2) | |
| 会议主办者 | The Society of Photo-Optical Instrumentation Engineers (SPIE) |
| 2013 | |
| 会议名称 | Remote Sensing and Modeling of Ecosystems for Sustainability X |
| 卷号 | 8869 |
| 会议日期 | August 26, 2013 - August 29, 2013 |
| 会议地点 | San Diego, CA, United states |
| ISSN号 | 0277-786X |
| ISBN号 | 9780819497192 |
| 产权排序 | (1) Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai, 200062, China ; (2) Joint Laboratory for Environmental Remote Sensing and Data Assimilation, ECNU, CEODE, Shanghai, 200062, China ; (3) Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80523, United States ; (4) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China |
| 关键词 | Weathering Desertification Gimms Ndvi Global Inventories Non-parametric Test Normalized Difference Vegetation Index Rue Vegetation Productivity Vegetation Restoration |
| 摘要 | The Agro-Pastoral Transitional Zone in Northern China (hereafter APTZNC) is situated in an arid/semi-arid area, and is one of the most vulnerable areas in the world subject to climate change. Annual integrated the NASA Global Inventory Modeling and Mapping Studies (hereafter GIMMS) Normalized Difference Vegetation Index (hereafter ΣNDVI) and annual rainfall were used in this study. Meanwhile, the dynamics of ΣNDVI and rain-use efficiency (hereafter RUE) were predicted during the period, through the use of the Mann-Kendall nonparametric test and linear regression temporal trend analysis. The tendency of desertification under different precipitation scenarios was also analyzed. The results showed that annual ΣNDVI and rainfall were not significantly correlated in most sections of the study area, yet opposite results were observed for a smaller percentage of the study area (p<0.01). Changes in vegetation productivity may increase, whereas a significant decrease in a small pixel proportion was observed. The northeast and central sections of the study area are characterized by positive trends in RUE slope values, contrary to what was observed in the southwestern sections of the study area. The results fit well with the findings through ΣNDVI and RUE. Rainfall in the range of 200-500 mm can be seen as a threshold value as the desertification trend decreases and vegetation restoration capacity is enhanced with increasing rainfall. © Copyright 2013 SPIE. |
| 作者部门 | 海岸带信息集成与综合管理实验室 |
| DOI | 10.1117/12.2021857 |
| 收录类别 | EI |
| 语种 | 英语 |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/8811 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 |
| 推荐引用方式 GB/T 7714 | An, Youzhi,Gao, Wei,Gao, Zhiqiang,et al. Assessment of desertification in the agro-pastoral transitional zone in Northern China (1982-2006) using GIMMS NDVI data[C]:SPIE,2013. |
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| Assessment of Desert（414KB） | 开放获取 | CC BY-NC-SA | 浏览 下载 | |||
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