| 延河流域阔叶林地上生物量遥感监测及空间分布特征分析 |
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| 引用本文： | 娄雪婷,曾源,吴炳方,苏常红,徐延达,赵炎.延河流域阔叶林地上生物量遥感监测及空间分布特征分析[J].资源科学,2010,32(11):2229-2238. |
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| 作者姓名： | 娄雪婷 曾源 吴炳方 苏常红 徐延达 赵炎 |
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| 作者单位： | 1. 中国科学院遥感应用研究所,北京,100101
2. 中国科学院生态环境研究中心城市与区域生态国家重点实验室,北京,100085 |
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| 基金项目： | 国家重点基础研究发展计划项目：“区域生态系统服务功能的尺度特征与综合集成”(编号: 2009CB421104)；中国科学院知识创新工程重大项目（编号：KZCX1-YW-08-02）。 |
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| 摘 要： | 黄土高原地区水土流失严重、生态环境恶化,研究其代表区域—延河流域有利于指导植被建设。本文利用2009年生长季的环境减灾小卫星影像,以基于遥感的统计模型法估算了延河流域的阔叶林地上生物量,分析了阔叶林地上生物量与自然、社会条件等方面的相关性,探寻了影响阔叶林地上生物量空间分布的因素。分析结果表明:延河流域阔叶林地上生物量均值为34.45t/hm2,其空间分布特征是南高北低,东西低中部高,其最高值可达209.2t/hm2;气候、地形、植物种类、人为活动四项因子都对生物量的空间分布产生了影响,但制约该地区森林发育的最重要因子还是气候影响中的水分;人类生产生活与阔叶林地上生物量有着相似的分布区域,形成了经济发达地区阔叶林生物量高于欠发达地区的格局,主要原因是当地人为改善环境及国家政策的实施。
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| 关 键 词： | 延河流域 森林地上生物量 空间分布格局 |
| 修稿时间： | 7/5/2010 12:00:00 AM |
Above-Ground Forest Biomass Retrieval and Spatial Distribution Estimation across the Yanhe Basin from Remote Sensing |
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| LOU Xueting,ZENG Yuan,WU Bingfang,SU Changhong,XU Yanda and ZHAO Ya.Above-Ground Forest Biomass Retrieval and Spatial Distribution Estimation across the Yanhe Basin from Remote Sensing[J].Resources Science,2010,32(11):2229-2238. |
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| Authors: | LOU Xueting ZENG Yuan WU Bingfang SU Changhong XU Yanda and ZHAO Ya |
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| Institution: | Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Sciences,Chinese Academy of Sciences, Beijing 100085, China;State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Sciences,Chinese Academy of Sciences, Beijing 100085, China;Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | Above-ground biomass of forest is one of the most critical variables for measuring the ecological system productivity of forest. Monitoring forest above-ground biomass provides the basis for exploring the carbon cycle of a forest ecological system. In this regard, forest biomass is of importance to research and applications in forest ecological systems. However, the distribution of forest biomass in the arid-semiarid region based on vegetation index has been far less than clear. Soil erosion is serious across the Loess Plateau, and the environment is incrementally degraded. Studying the forest above-ground biomass over a typical region in the Loess Plateau, the Yanhe basin, would provide valuable reference for reconstruction of vegetation over this region. The authors extracted broadleaf forest information from remote sensing, achieving a classification accuracy of 80.4%. Based on images acquired by Satellite HJ-1 in the growing season in year 2009 and samples collected over the study area, the forest above-ground biomass of the broadleaf forest in the Yanhe basin was estimated by empirical models of remote sensing. We calculated the correlation between five vegetation indices, i.e., Normalized Difference Vegetation Index (NDVI), Ratio Vegetation Index (RVI), Atmospherically Resistant Vegetation Index (ARVI), Modified Soil Adjusted Vegetation Index (MSAVI), and Soil Adjusted Vegetation Index (SAVI) with the above-ground biomass of the forest, indicating that ARVI seems to be the best index reflecting the above-ground biomass. A forest biomass model was subsequently built based on ARVI. The F test examination showed that the above-ground biomass of the forest was correlated significantly with ARVI, suggesting a correlation coefficient of 0.8114. Based on the simulated biomass, the relationships between the biomass and natural-social factors were examined in detail. Factors affecting the spatial distribution of the biomass were extensively discussed. Results showed that in the study basin, the mean biomass of the above-ground broadleaf forest was around 34.45 t/hm2, and the maximum was roughly 209.2 t/hm2. Characteristics of the spatial distribution indicated that the biomass was higher in the south and middle areas whereas lower in the north, east, and west. Climate, terrain, species, and human activities jointly affected the development of the vegetation, among which, water status was a key factor affecting the status of the vegetation. It is also shown that the area of human activities was generally proportional to the location with high biomass. The above-ground biomass of the broadleaf forest in developed regions was found to be generally higher than that in developing regions. |
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| Keywords: | Yanhe basin Above-ground biomass Broadleaf forest Remote sensing |
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