Abstract

Accurate estimation of gross primary productivity (GPP) is necessary to better understand the interaction of global terrestrial ecosystems with climate change and human activities. Light use efficiency (LUE)-based GPP models are widely used for retrieving several GPP products with various temporal and spatial resolutions. However, most LUE-based models assume a clear-sky condition, and the influence of diffuse radiation on GPP estimations has not been well considered. In this paper, a diffuse and direct (DDA) absorbed photosynthetically active radiation (APAR)-based method is proposed for better estimation of half-hourly GPP, which partitions APAR under diffuse and direct radiation conditions. Firstly, energy balance residual (EBR) FAPAR, moderate resolution imaging spectroradiometer (MODIS) leaf area index (LAI) (MCD15A2H) and clumping index (CI) products, as well as solar radiation records supplied by FLUXNET2015 were used to calculate diffuse and direct APAR at a half-hourly scale. Then, an eddy covariance-LUE (EC-LUE) model and meteorological observations from FLUXNET2015 data sets were used for obtaining corresponding LUE values. A co-variation relationship between LUE and diffuse fraction was observed, and the LUE was higher under more diffuse radiation conditions. Finally, the DDA-based method was tested using the half-hourly FLUXNET GPP and compared with half-hourly GPP calculated using total APAR (GPP_TA). The results indicated that the half-hourly GPP estimated using the DDA-based method (GPP_DDA) was more accurate, giving higher R2 values, lower RMSE and RMSE* values (R2 varied from 0.565 to 0.682, RMSE ranged from 3.219 to 12.405 and RMSE* were within the range of 2.785 to 8.395) than the GPP_TA (R2 varied from 0.558 to 0.653, RMSE ranged from 3.407 to 13.081 and RMSE* were within the range of 3.321 to 9.625) across FLUXNET sites within different vegetation types. This study explored the effects of partitioning the diffuse and direct APAR on half-hourly GPP estimations, which demonstrates a higher agreement with FLUXNET GPP than total APAR-based GPP.

Highlights

  • The gross primary productivity (GPP) of vegetation is considered the most critical component of terrestrial ecosystems; it quantifies the conversion efficiency of carbon dioxide (CO2 ) to vegetation biomass and acts as an indicator of the absorption ability of atmospheric CO2

  • The results showed that Light use efficiency (LUE) increased with increasing diffuse fraction for all vegetation types, which indicated the significant enhancement effect of diffuse radiation toward LUE [28,29]

  • A diffuse and direct absorbed photosynthetically active radiation (APAR)-based (DDA) method is proposed to explore the effects of partitioning diffuse and direct APAR on half-hourly GPP estimations

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Summary

Introduction

The gross primary productivity (GPP) of vegetation is considered the most critical component of terrestrial ecosystems; it quantifies the conversion efficiency of carbon dioxide (CO2 ) to vegetation biomass and acts as an indicator of the absorption ability of atmospheric CO2. GPP plays a key role in the estimation of the global carbon budget and sustainable development of terrestrial ecosystems [1,2,3]. It is necessary to accurately estimate GPP to better understand the status of the terrestrial ecosystem as influenced by atmospheric conditions and human activities [4]. Light use efficiency (LUE)-based models are widely used in the data-driven area, such as CASA [5], MOD17 algorithm [6], Vegetation Photosynthesis Model (VPM) [7,8], and Remote Sens.

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