Global mean annual global gross primary production (GPP) estimated by using a statistical model of integrated phenology and physiology (SMIPP).
<p dir="ltr">Xiaojun Xu, Danna Chen. Estimating global annual gross primary production based on satellite-derived phenology and maximal carbon uptake capacity. Environmental Research, 2024, 252:119063. https://doi.org/10.1016/j.envres.2024.119063</p><p dir="ltr">...
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2025
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| Summary: | <p dir="ltr">Xiaojun Xu, Danna Chen. Estimating global annual gross primary production based on satellite-derived phenology and maximal carbon uptake capacity. Environmental Research, 2024, 252:119063. https://doi.org/10.1016/j.envres.2024.119063</p><p dir="ltr"><br></p><p dir="ltr">The high uncertainty regarding global gross primary production (GPP) remains unresolved. This study explored the relationships between phenology, physiology, and annual GPP to provide viable alternatives for accurate estimation. A statistical model of integrated phenology and physiology (SMIPP) was developed using GPP data from 145 FLUXNET sites to estimate the annual GPP for various vegetation types. By employing the SMIPP model driven by satellite-derived datasets of the global carbon uptake period (CUP) and maximal carbon uptake capacity (GPPmax), the global annual GPP was estimated for the period from 2001–2018. The results demonstrated that the SMIPP model accurately predicted annual GPP, with relative root mean square error values ranging from 11.20‒19.29% for forest types and 20.49‒35.71% for nonforest types. However, wetlands, shrublands, and evergreen forests exhibited relatively low accuracies. The average, trend, and interannual variation of global GPP during 2001–2018 were 132.6 Pg C yr-1, 0.25 Pg C yr-2, and 1.57 Pg C yr-1, respectively. They were within the ranges estimated in other global GPP products. Sensitivity analysis revealed that GPPmax had comparable effects to CUP in high-latitude regions but significantly greater impacts at the global scale, with sensitivity coefficients of 0.85 ± 0.23 for GPPmax and 0.46 ± 0.28 for CUP. This study provides a simple and practical method for estimating global annual GPP and highlights the influence of GPPmax and CUP on global-scale annual GPP.</p> |
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