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Improving the light use efficiency model for simulating terrestrial vegetation gross primary production by the inclusion of diffuse radiation across ecosystems in China

机译：通过纳入中国整个生态系统的散射辐射，改进用于模拟陆地植被初级生产力的光利用效率模型

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摘要

Qualification of gross primary production (GPP) of terrestrial ecosystem over large areas is important in understanding the response of terrestrial ecosystem to global climate change. While light use efficiency (LUE) models were widely used in regional carbon budget estimates, few studies consider the effect of diffuse radiation on LUE caused by clouds using a big leaf model. Here we developed a cloudiness index light use efficiency (CI-LUE) model based on the MOD17 model algorithm to estimate the terrestrial ecosystem GPP, in which the base light use efficiency encompassed the cloudiness index, maximum LUE and clear sky LUE. GPP measured at seven sites from 2003 to 2007 in China were used to calibrate and validate the CI-LUE model. The results showed that at forest sites and cropland site the CI-LUE model outperformed the Vegetation Photosynthesis Model (VPM), Terrestrial Ecosystem Carbon flux model (TEC), MOD17 model algorithm driven by in situ meteorological measurements and MODE GPP products, especially the R-2 of simulated GPP against flux measurements at Dinghushan forest site increased from 0.17 (MODIS GPP products) to 0.61 (CI-LUE). Instead, VPM model had the best agreement with GPP measurements followed by CI-LUE model and lastly TEC model at two grassland sites. Meanwhile, GPP calculated by CI-LUE model has less underestimation under cloudy skies in comparison with MOD17 model. This study demonstrated the potential of the CI-LUE model in improving GPP simulations resulting from the inclusion of diffuse radiation in regulating the base light use efficiency and maximum light use efficiency. (C) 2015 Elsevier B.V. All rights reserved.
机译：在理解陆地生态系统对全球气候变化的响应方面，大面积陆地生态系统的初级生产总值（GPP）的资格很重要。虽然光使用效率（LUE）模型被广泛用于区域碳预算估计，但很少有研究使用大叶模型考虑扩散辐射对云造成的LUE的影响。在此，我们基于MOD17模型算法开发了一种浊度指数光利用效率（CI-LUE）模型来估计陆地生态系统GPP，其中基础光利用效率包括浊度指数，最大LUE和晴空LUE。从2003年到2007年在中国的七个站点上测量的GPP用于校准和验证CI-LUE模型。结果表明，在森林和农田地区，CI-LUE模型的性能优于植被光合作用模型（VPM），陆地生态系统碳通量模型（TEC），由原位气象测量和MODE GPP产品（尤其是R）驱动的MOD17模型算法鼎湖山林区模拟GPP相对于通量测量的-2从0.17（MODIS GPP产品）增加到0.61（CI-LUE）。相反，VPM模型与GPP测量具有最佳一致性，其次是两个草原站点的CI-LUE模型和TEC模型。同时，与MOD17模型相比，CI-LUE模型计算得到的GPP在多云的天空下被低估了。这项研究证明了CI-LUE模型在改善GPP仿真方面的潜力，这是由于在控制基本光利用效率和最大光利用效率中包含了漫射辐射所致。 （C）2015 Elsevier B.V.保留所有权利。

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  • 来源
    《Ecological Complexity》 |2015年第9期|1-13|共13页
  • 作者

    Wang Shaoqiang; Huang Kun; Yan Hao; Yan Huimin; Zhou Lei; Wang Huimin; Zhang Junhui; Yan Junhua; Zhao Liang; Wang Yanfen; Shi Peili; Zhao Fenghua; Sun Leigang;

  • 作者单位

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China;

    Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China;

    Chinese Acad Sci, South China Bot Garden, Guangzhou 570650, Guangdong, Peoples R China;

    Chinese Acad Sci, Northwest Plateau Inst Biol, Xining 810001, Peoples R China;

    Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China;

    Hebei Acad Sci, Inst Geog Sci, Shijiazhuang 050000, Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Cloudiness index; Cloudiness index light use efficiency (CILUE) model; Eddy covariance flux; MOD17 model;

    机译：浊度指数;浊度指数光利用效率（CILUE）模型;涡动协方差通量;MOD17模型;

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