| Vegetation NPP Distribution Based on MODIS Data and CASA Model —— A Case Study of Northern Hebei Province |
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| 作者姓名： | YUAN Jinguo NIU Zheng WANG Chenli |
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| 作者单位： | 1. State Key Laboratory of Remote Sensing Science，Institute of Remote Sensing Applications，Chinese Academy of Sciences，Beijing 100101，China; 2. College of Resource and Environmental Sciences，Hebei Normal University，Shijiazhuang 050016，China |
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| 基金项目： | Under the auspices of the National Natural Science Foundation of China (No. 40571117), the Knowledge Innovation Program of Chinese Academy of Sciences (No. KZCX3-SW-338), Research foundation of the State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences (KQ060006) |
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| 摘 要： | 1 Introduction Vegetation is an important component of terrestrial eco- system, it plays an important role in global matter and energy cycle, carbon balance and climate change. CO2 has effects on global warming, photosynthesis function, Net Primary Productivity (NPP) and earth environmental condition. NPP is one of the important biophysical variables of vegetation activity, and is a beginning link of biogeochemical carbon cycle. Vegetation absorbs CO2 from atmosphere through photosynthesi…
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| 关 键 词： | 河北北部 植被 净初级生产力 NPP MODIS数据 CASA模型 遥感 |
| 收稿时间： | 2006-06-04 |
| 修稿时间： | 2006-10-26 |
Vegetation NPP distribution based on MODIS data and CASA model—A case study of northern Hebei Province |
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| YUAN Jinguo,,NIU Zheng,WANG Chenli.Vegetation NPP distribution based on MODIS data and CASA model—A case study of northern Hebei Province[J].Chinese Geographical Science,2006,16(4):334-341. |
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| Authors: | Jinguo Yuan Zheng Niu Chenli Wang |
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| Institution: | (1) State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, 100101, China;(2) College of Resource and Environmental Sciences, Hebei Normal University, Shijiazhuang, 050016, China |
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| Abstract: | Net Primary Productivity (NPP) is one of the important biophysical variables of vegetation activity, and it plays an important
role in studying global carbon cycle, carbon source and sink of ecosystem, and spatial and temporal distribution of CO2. Remote sensing can provide broad view quickly, timely and multi-temporally, which makes it an attractive and powerful tool
for studying ecosystem primary productivity, at scales ranging from local to global. This paper aims to use Moderate Resolution
Imaging Spectroradiometer (MODIS) data to estimate and analyze spatial and temporal distribution of NPP of the northern Hebei
Province in 2001 based on Carnegie-Ames-Stanford Approach (CASA) model. The spatial distribution of Absorbed Photosynthetically
Active Radiation (APAR) of vegetation and light use efficiency in three geographical subregions, that is, Bashang Plateau
Region, Basin Region in the northwestern Hebei Province and Yanshan Mountainous Region in the Northern Hebei Province were
analyzed, and total NPP spatial distribution of the study area in 2001 was discussed. Based on 16-day MODIS Fraction of Photosynthetically
Active Radiation absorbed by vegetation (FPAR) product, 16-day composite NPP dynamics were calculated using CASA model; the
seasonal dynamics of vegetation NPP in three subregions were also analyzed. Result reveals that the total NPP of the study
area in 2001 was 25.1877 × 106gC/(m2·a), and NPP in 2001 ranged from 2 to 608gC/(m2·a), with an average of 337.516gC/(m2·a). NPP of the study area in 2001 accumulated mainly from May to September (DOY 129–272), high NPP values appeared from June
to August (DOY 177–204), and the maximum NPP appeared from late July to mid-August (DOY 209–224).
Foundation item: Under the auspices of the National Natural Science Foundation of China (No. 40571117), the Knowledge Innovation
Program of Chinese Academy of Sciences (No. KZCX3-SW-338), Research foundation of the State Key Laboratory of Remote Sensing
Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences (KQ060006)
Biography: YUAN Jinguo (1972–), female, a native of Gucheng in Hebei Province, associate professor, Ph.D. candidate, specialized
in global change remote sensing. |
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| Keywords: | NPP distribution MODIS data CASA model Northern Hebei Province |
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