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基于MODIS GPP数据产品的辽宁省碳源/汇空间格局分布研究 被引量:4

Research on Spatial Distribution of Carbon Source/Sink of Liaoning Province based on MODIS GPP Data Products
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摘要 陆地生态系统的碳汇功能是生态系统服务功能的重要方面,在减缓气候变化中起着重要作用,准确地评估陆地生态系统碳源/汇时空变化是有效预测气候变化的重要基础。基于碳源/汇形成过程中各分量间的相互关系,结合MODIS GPP数据产品和区域统计年鉴数据,对2000~2014年辽宁省陆地碳源/汇的强度及空间格局分布进行定量化评估。结果表明:①辽宁省陆地碳源/汇呈现东部高、西部低的变化趋势,东部呈现显著的碳吸收功能,碳吸收强度超过250 gC m^-2a^-1,但在辽宁中部、西部及北部地区则出现明显的碳排放。②沈阳的年均碳排放量(1.43 TgC a^-1)约占辽宁省各地市净碳排放总量(4.56 TgC a^-1)的三分之一,是全省碳排放的主体。③沈阳陆地生态系统总体表现为碳源,城区碳排放强度相对较弱,仅为26 gC m^-2a^-1,近似表现为碳中性。本文基于碳源/汇形成过程定量分析辽宁陆地碳源/汇强度及其空间分布规律,为今后其他区域碳源/汇的模拟提供理论依据和方法借鉴。 The carbon sink function of terrestrial ecosystem is an important aspect of ecosystem service function,playing an important role in mitigating climate change. Accurate assessment of the spatial and temporal change of carbon source/sink of terrestrial ecosystem is an important basis for predicting climate change effectively. Based on the relationship between all forming fluxes of regional carbon source/sink combining with MODIS GPP data products and regional statistical data,we analyzed the spatial distribution carbon source/sink of Liaoning province from 2000 to 2014. Results show that:①The spatial distribution of carbon source/sink decreased from eastern to western,with the highest value appearing at the eastern(>250 gC m^-2 a^-1). There are significant carbon source in the central,western and northern of Liaoning province.②The total carbon emission of Shenyang(1.43 TgC a^-1) accounted for about one third of Liaoning province(4.56 TgC a^-1). Therefore,Shenyang is the major city of carbon emission in Liaoning province.③Shenyang is a carbon source. The urban areas of Shenyang showed a lowest carbon emission(only 26 gC m^-2 a^-1). This paper conducted regional simulation of carbon source/sink,providing theoretical basis and methodological references for the related studies in other regions.
作者 冯艾琳 武晋雯 孟莹 姜鹏 董巍 张璇 方缘 刘斌 Feng Ailin;Wu Jinwen;Meng Ying;Jiang Peng;Dong Wei;Zhang Xuan;Fang Yuan(Institute of Atmospheric Environment,China Meteorological Administration,Shenyang 110166,China;Liaoning Branch of China Meteorological Administration Training Centre,Shenyang 110166,China)
出处 《遥感技术与应用》 CSCD 北大核心 2019年第4期857-864,共8页 Remote Sensing Technology and Application
基金 中国气象局沈阳大气环境研究所开放基金(2017SYIAE02)
关键词 MODIS产品 生态系统总初级生产力(GPP) 辽宁省 碳源/汇 空间格局分布 MODIS products Gross Primary Productivity(GPP) Liaoning province Carbon source/sink Spatial distribution
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