학술논문

Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening.
Document Type
Article
Source
Journal of Advances in Modeling Earth Systems. May2023, Vol. 15 Issue 5, p1-21. 21p.
Subject
*LEAF area index
*ECOSYSTEMS
*CARBON cycle
*FOREST surveys
*REMOTE-sensing images
*TROPICAL forests
*CARBON
Language
ISSN
1942-2466
Abstract
Significant land greening since the 1980s has been detected through satellite observation, forest inventory, and Earth system modeling. However, whether and to what extent global land greening enhances ecosystem carbon stock remains uncertain. Here, using 40 global models, we first detected a positive correlation between the terrestrial ecosystem carbon stock and leaf area index (LAI) over time. Then, we diagnose the source of uncertainty of simulated the sensitivities of ecosystem carbon stock to LAI based on a traceability analysis. We found that the sensitivity of gross primary productivity (GPP) to LAI is the largest contributor to the model uncertainty in more than 60% of the vegetated grids. Using the ensemble of four long‐term global data sets of GPP and three satellite LAI products from 1982 to 2014, we provided an emergent constraint on the ecosystem carbon stock increase as 0.75 ± 0.46 kg C m−2 per unit LAI over global land areas. Furthermore, the biome‐based results reveal that the tropical forest regions have the highest inter‐model variation and model bias. Overall, this study identifies the uncertainty source and provides constrained estimates of the greening effect on ecosystem carbon stock at the global scale. Plain Language Summary: In the last few decades, we can see that there has been more green land from looking at satellite images, checking forest records, and using computer models. However, we do not know if having more green land is helping the ecosystem store more carbon. This study investigated the greening effect on ecosystem carbon stock among the 40 global models, but this effect varied between models. Therefore, we diagnosed the simulated source of uncertainty based on the traceability analysis framework. Based on satellite‐derived data sets, we further constrained the greening effect on ecosystem carbon stock at the global scale. Land greening enhances ecosystem carbon stock, although this increase is highly heterogeneous on a global scale. Key Points: A globally enhanced ecosystem C stock (ECS) by land greening has been detected since the 1980s from 40 global modelsThe sensitivity of gross primary productivity to leaf area index (LAI) is the largest contributor to the modeled greening effect on ECS uncertaintyThis study estimated the effect of global greening on ECS with the emergent constraint method [ABSTRACT FROM AUTHOR]