| 森林生态系统净初级生产力模拟研究 |
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| 引用本文： | 王绍刚,何国金,刘定生,汪小钦.森林生态系统净初级生产力模拟研究[J].科技导报(北京),2009,27(4). |
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| 作者姓名： | 王绍刚 何国金 刘定生 汪小钦 |
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| 作者单位： | 王绍刚,WANG Shaogang(中国科学院对地观测与数字地球科学中心,北京,100086;中国科学院遥感应用研究所,北京,100101;中国科学院研究生院,北京,100049);何国金,刘定生,HE Guojin,LIU Dingsheng(中国科学院对地观测与数字地球科学中心,北京,100086);汪小钦,WANG Xiaoqin(福州大学,空间数据挖掘与信息共享教育部重点实验室,福州,350002)
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| 摘 要： | 在英国爱丁堡大学森林生态系统碳循环SPA模型基础上,以栅格数据作为主要的数据源输入参数.将该模型从斑块尺度模型到区域尺度模型进行扩展,并以并行机群技术作为解决模型扩展后计算时间过长的手段,建立新的森林生态系统碳循环动态过程模型RSPA,并且利用该模型对福建省三明市2004年1-12月森林生态系统净初级生产力进行了空间可视化模拟与验证.
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| 关 键 词： | 森林生态系统 碳循环 SPA模型 碳收支 |
Studies on Net Primary Productivity of Forest Ecosystem |
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| WANG Shaogang,,HE Guojin,LIU Dingsheng,WANG Xiaoqin . Center for Earth Observation , Digital Earth,Chinese Academy of Sciences,Beijing ,China.Studies on Net Primary Productivity of Forest Ecosystem[J].Science & Technology Review,2009,27(4). |
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| Authors: | WANG Shaogang HE Guojin LIU Dingsheng WANG Xiaoqin Center for Earth Observation Digital Earth Chinese Academy of Sciences Beijing China |
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| Institution: | WANG Shaogang1,2,3,HE Guojin1,LIU Dingsheng1,WANG Xiaoqin4 1. Center for Earth Observation , Digital Earth,Chinese Academy of Sciences,Beijing 100086,China 2. Institute of Remote Sensing Applications,Beijing 100101,China 3. Graduate University of Chinese Academy of Sciences,Beijing 100049,China 4. Key Laboratory of Data Mining , Information Sharing of Ministry of Education,Fuzhou University,Fuzhou 350002,China |
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| Abstract: | This paper is based on the British Edinburgh University's forest ecosystem carbon cycle SPA (Soil-Plant- Atmosphere) model, using raster data as a major data source and expanding the model from a patch model to a region model. A new forest ecosystem carbon cycle dynamic process RSPA (Region Soil- Plant-Atmosphere) model is established, with the aid of the remotesensing data and parallel computing with cluster technology as a solution to the excessively long computing time due to the model expansion. This mo... |
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| Keywords: | forest ecosystem carbon cycle soil-plant-atmosphere model carbon budget |
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