| 青海省草地资源净初级生产力遥感监测 |
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| 引用本文： | 卫亚星,王莉雯,石迎春,李路子.青海省草地资源净初级生产力遥感监测[J].地理科学,2012(5):621-627. |
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| 作者姓名： | 卫亚星 王莉雯 石迎春 李路子 |
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| 作者单位： | 辽宁师范大学海洋经济与可持续发展研究中心辽宁师范大学自然地理与空间信息科学辽宁省重点实验室辽宁师范大学城市与环境学院 |
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| 基金项目： | 教育部人文社会科学研究青年基金项目(10YJCZH156);教育部人文社会科学重点研究基地项目(08JJD790142)资助;辽宁省教育厅科学研究一般项目(L2010226) |
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| 摘 要： | 在研究特定区域的草地光能利用率和环境影响因素典型特点的基础上,建立基于光能利用率的草地NPP遥感估算模型,模拟并分析2006年青海省草地FPAR、光能利用率、NPP的空间分布和季相变化特征。研究结果表明,2006年青海省草地净初级生产力平均值为173.28 gC/(m2.a)。青海省东南部、南部和青海湖周围三个地区,是青海省草地NPP较高的区域。不同草地类型的NPP存在差异,高覆盖度草地的单位面积平均NPP为193.82 gC/(m2.a),中覆盖度草地NPP为157.14 gC/(m2.a),低覆盖度草地NPP为121.08 gC/(m2.a)。
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| 关 键 词： | 草地资源 净初级生产力 光能利用率模型 遥感 青海省 |
Net Primary Productivity of Grassland Resources Monitoring Based on Remote Sensing Data in Qinghai Province |
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| WEI Ya-xing,WANG Li-wen,SHI Ying-chun,LI Lu-zi.Net Primary Productivity of Grassland Resources Monitoring Based on Remote Sensing Data in Qinghai Province[J].Scientia Geographica Sinica,2012(5):621-627. |
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| Authors: | WEI Ya-xing WANG Li-wen SHI Ying-chun LI Lu-zi |
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| Institution: | (Center for Marine Economic and Sustainable Development,Liaoning Normal University,Liaoning Key Laboratory of Physical Geography and Geomatics,Liaoning Normal University,College of Urban and Environmental Science,Liaoning Normal University,Dalian,Liaoning 116029,China;) |
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| Abstract: | With research on grassland light use efficiency and environment impacting factors in special regions,the NPP model of grassland based on light use efficiency is built in the paper.The spatio-temporal variations of FPAR(Fraction of Photosynthetically Active Radiation),light use efficiency and NPP for grassland in 2006 in Qinghai Province are simulated and analyzed.The result shows that the mean value of grassland NPP in 2006 in Qinghai Province is 173.28 g(/ m2.a).The area with higher grassland NPP values appear in the south-east,the south and areas around the Qinghai Lake of Qinghai Province.NPP for various grassland types is different.The mean NPP in the unit area of dense grassland is 193.82 g(/ m2.a),in the middle density grassland is 157.14 g(/ m2.a)and in sparse grassland is 121.08 g(/ m2.a). |
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| Keywords: | grassland resources net primary productivity light use efficiency model remote sensing Qinghai Province |
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