日光诱导叶绿素荧光估算中国典型生态系统总初级生产力的能力

发布时间：2018-03-20 17:22

本文选题：陆地生态系统总初级生产力　切入点：日光诱导叶绿素荧光(SIF)　出处：《遥感技术与应用》2017年02期 　论文类型：期刊论文

【摘要】：陆地生态系统总初级生产力(GPP,Gross Primary Productivity)是陆地生态系统碳循环的重要分量,提高其估算精度具有重要的科学意义。由于受多种因子的影响,GPP的时空变异明显,其估算结果存在较大的不确定性。日光诱导叶绿素荧光(SIF,Sun-Induced Chlorophyll Fluorescence)与GPP密切相关,近年来被应用于估算区域和全球GPP,但其在中国生态系统的适用性尚不清楚。以中国8个典型植被生态系统为研究对象,驱动两叶光能利用率模型(TL-LUE,TwoLeaf Light Use Efficiency Model)模拟以站点为中心0.5°×0.5°区域内的月GPP,验证SIF估算GPP的能力。结果表明,SIF具有监测中国典型植被生态系统GPP的能力,月SIF与TL-LUE模拟的月GPP之间显著相关,其中5个生态系统中两者的R2高于0.8,最高达到0.91,GPP与SIF变化的斜率随生态系统类型变化。模拟的GPP与SIF遥感数据的季节变化特征相同,两者之间的一致性在生长季节好于非生长季节;SIF能更好地监测农田GPP的季节变化。
[Abstract]:Gross Primary Productivity of terrestrial ecosystem is an important component of terrestrial ecosystem carbon cycle, and it is of great scientific significance to improve its estimation accuracy. Due to the influence of many factors, the spatial and temporal variability of GPP is obvious. The estimated results are uncertain. The Sun-Induced Chlorophyll fluorescence induced by sunlight is closely related to GPP. In recent years, GPPs have been used to estimate regional and global GPPs, but the applicability of GPPs in Chinese ecosystems is not clear. TL-LUETwoLeaf Light Use Efficiency model was used to simulate monthly GPPs in the region of 0.5 掳脳 0.5 掳centered on the site to verify the ability of SIF to estimate GPP. The results showed that SIFs had the ability to monitor GPP of typical vegetation ecosystem in China. There was significant correlation between monthly SIF and monthly GPP simulated by TL-LUE, in which the R2 of 5 ecosystems was higher than 0.8, and the slope of GPP and SIF varied with ecosystem type. The seasonal variation characteristics of simulated GPP and SIF remote sensing data were the same. The consistency between them is better in growing season than in non-growing season. It can better monitor the seasonal variation of farmland GPP.
【作者单位】：南京大学国际地球系统科学研究所;南京大学地理与海洋科学学院;江苏省地理信息技术重点实验室;中国科学院地理科学与资源研究所;中国科学院华南植物园;中国科学院沈阳应用生态研究所;中国科学院大学;中国科学院植物研究所;中国科学院西北高原生物研究所;湖南会同杉木林生态系统国家野外科学观测研究站;
【基金】：中国科学院战略性先导科技专项(XDA05050602-1和XDA05050208) 国家自然科学基金面上项目(41371070)
【分类号】：Q14;TP79

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