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林业资源管理 ›› 2007, Vol. 0 ›› Issue (6): 78-83.

• 科学技术 • 上一篇    下一篇

东北地区森林植被生产力遥感定量估测

刘喜云1, 孙向阳1, 夏朝宗2, 王海东3   

  1. 1.北京林业大学水保学院,北京 100083;
    2.国家林业局调查规划设计院,北京 100714;
    3.辽宁省林业调查规划院,辽宁 沈阳 110122
  • 收稿日期:2007-09-10 修回日期:2007-10-15 发布日期:2020-12-10
  • 作者简介:刘喜云(1974-),女,北京人,讲师,在读博士,主要研究领域为生态环境工程和土壤生态。
  • 基金资助:
    国家自然科学基金“北温带干旱地区森林土壤系统碳库和碳转移特征”

RS-based Monitoring of Forest Net Primary Productivity in Northeast China

LIU Xiyun1, SUN Xiangyang1, XIA Chaozong2, WANG Haidong3   

  1. 1. Beijing Forestry University, Beijing 100083;
    2. Academy of Forest Inventory and Planning of SFA, Beijing 100714;
    3. Institute of Forest Inventory and Planning, Shenyang 110122,Liaoning Province, China
  • Received:2007-09-10 Revised:2007-10-15 Published:2020-12-10

摘要: 以辽宁、吉林和黑龙江3省为研究区,引入一种过程模型(Forest-BGPG),以2003年1 km 的MODIS影像为遥感数据,估测森林植被净第一性生产力(NPP)。结果表明:2003年森林植被NPP为3.7 MgC/hm2,其中,常绿针叶林4.1 mgC/hm2、落叶阔叶林4.0 mgC/hm2、常绿阔叶林3.8 mgC/hm2、针阔混交林3.9 mgC/hm2和落叶针叶林3.5 mgC/hm2;辽宁东部及长白山地区森林植被NPP超过6.3mg C/hm2,大兴安岭地区不足3.2 mgC/hm2,区域时空分布格局明显。通过与国内现有研究结果和2003年全球陆地植被NPP产品对比分析,表明估测结果准确反映了森林植被现实生长过程,Forest-BGPG为区域尺度森林植被NPP和碳储量动态监测提供了连续的测量手段。

关键词: 森林植被, NPP Forest-BGPG MODIS

Abstract: In this paper, a NPP model (Forest-BGPG) is introducedto estimate forest NPP with the support of 1km daily MODIS data in 2003, taking Liaoning, Jilin and Heilongjiang provinces as study areas. The results showthat forest NPP in study area in 2003 is 3.7MgC/hm2. Differential tempo-spatial pattern of forest NPP also appears in study areas, NPP of evergreen coniferous forest is 4.1, that of deciduous broadleaf forest, evergreen broadleaf forest and mixed forest is 4.0, 3.8 and 3.9 respectively, and deciduous coniferousforest is lowest, only 3.5. Higher NPP happens in East Liaoning and Changbaimountain, more than 6.3, and Daxinganning mountain is less than 3.2. By comparing with existing national study results and global NPP products in 2003, estimate exactly figures out actual productivity of forest ecosystems, and model provides an effectively continuous way for dynamic monitoring of forest productivityand carbon stock.

Key words: Forest, NPP, forest-BGPG, MODIS

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