Improved Global Maps of the Optimum Growth Temperature, Maximum Light Use Efficiency, and Gross Primary Production for Vegetation,Journal of Geophysical Research: Biogeosciences

当前位置： X-MOL 学术 › J. Geophys. Res. Biogeosci. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Improved Global Maps of the Optimum Growth Temperature, Maximum Light Use Efficiency, and Gross Primary Production for Vegetation
Journal of Geophysical Research: Biogeosciences ( IF 3.7 ) Pub Date : 2021-03-23 , DOI: 10.1029/2020jg005651
Yongzhe Chen _{1,

2} , Xiaoming Feng ₁ , Bojie Fu _{1,

2} , Xutong Wu ₃ , Zhen Gao ₁

Affiliation

The optimum growth temperature (T_opt) and maximum light use efficiency (ε_max) of terrestrial vegetation are closely related to plant photosynthesis in current and future Earth environments, yet little is known about their spatial distributions at the global scale. This study derived global maps of T_opt and ε_max separately, under the light use efficiency (LUE) model framework by utilizing FLUXNET measurements and satellite‐observed solar/sun‐induced chlorophyll fluorescence (SIF), as well as multiple regression and neural network regression based on environmental and biological factors. T_opt is found to be positively correlated with annual mean temperature (T), except in cold areas with T < 9°C, where T_opt stays within the range of 10°C–15°C. T_opt is equal to T in tropical areas with T ≥ 25°C, but is obviously higher than T in other regions. ε_max is high in regions with a large amount of diffuse radiation and increases significantly with water stress. The maps of T_opt and ε_max improved the global gross primary production (GPP) estimation (R² = 0.83, RMSE = 1.38 g C m⁻² d⁻¹ against flux observations). The average annual GPP was 126 ± 1.5 PgC yr⁻¹, with a trend of 0.6 ± 0.1 PgC yr⁻² during 2001–2016, faster than most previous estimates. Our study suggests that the positive anthropogenic impacts on GPP were underestimated in existing products, including cropland expansion in southern Brazil and afforestation/forest protection efforts in China and western Europe. This study also provides a potential method for unified GPP modeling under the LUE framework.

更新日期：2021-04-08

点击分享查看原文

点击收藏

阅读更多本刊最新论文