Abstract
Abstract. The area of leaves in the plant canopy, measured as leaf area index (LAI), modulates key land–atmosphere interactions, including the exchange of energy, moisture, carbon dioxide (CO2), and other trace gases and aerosols, and is therefore an essential variable in predicting terrestrial carbon, water, and energy fluxes. Here our goal is to characterize the LAI projections from the latest generation of earth system models (ESMs) for the Representative Concentration Pathway (RCP) 8.5 and RCP4.5 scenarios. On average, the models project increases in LAI in both RCP8.5 and RCP4.5 over most of the globe, but also show decreases in some parts of the tropics. Because of projected increases in variability, there are also more frequent periods of low LAI across broad regions of the tropics. Projections of LAI changes varied greatly among models: some models project very modest changes, while others project large changes, usually increases. Modeled LAI typically increases with modeled warming in the high latitudes, but often decreases with increasing local warming in the tropics. The models with the most skill in simulating current LAI in the tropics relative to satellite observations tend to project smaller increases in LAI in the tropics in the future compared to the average of all the models. Using LAI projections to identify regions that may be vulnerable to climate change presents a slightly different picture than using precipitation projections, suggesting LAI may be an additional useful tool for understanding climate change impacts. Going forward, users of LAI projections from the CMIP5 ESMs evaluated here should be aware that model outputs do not exhibit clear-cut relationships to vegetation carbon and precipitation. Our findings underscore the need for more attention to LAI projections, in terms of understanding the drivers of projected changes and improvements to model skill.
Highlights
Providing future projections of climate change feedbacks and impacts is one of the goals motivating the development of earth system models (ESMs)
Notice that in this study we use projections of human land use based on the RCP8.5 or RCP4.5, and an important human role in future land cover change is driven by the assumptions of the scenario chosen for these studies
leaf area index (LAI) is an important term for scaling leaf-level biogeophysical and biogeochemical processes to regional and global areas, and it is vital to consider its change in future projections
Summary
Providing future projections of climate change feedbacks and impacts is one of the goals motivating the development of earth system models (ESMs). The latest generation of ESMs includes land models that simulate the temporal evolution of carbon and vegetation (Friedlingstein et al, 2006). To do so, these models predict leaf area index (LAI) and other carbon cycle variables. LAI represents the amount of leaf area per unit land area, and is an important land carbon attribute. LAI can be observed from satellite (Zhu et al, 2013), and represents one of the few land carbon or vegetation variables that can be directly evaluated in cou-
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