Rise and fall of vegetation annual primary production resilience to climate variability projected by a large ensemble of Earth System Models' simulations

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Abstract

Climate change is affecting natural ecosystems and society. Anticipating its impacts on vegetation resilience is critical to estimate the ecosystems' response to global changes and the reliability of the related ecosystem services, to support mitigation actions, and to define proper adaptation plans. Here, we compute the Annual Production Resilience Indicator from gross primary production (GPP) data simulated by a large ensemble of state-of-the-art Earth System Models involved in the last Coupled Model Intercomparison Project (CMIP6) of the Intergovernmental Panel on Climate Change. In the Sustainability (Taking the Green Road) and Middle of the Road scenarios (ssp126 and ssp245), the areas where vegetation shows increasing GPP resilience are wider than the areas with decreasing resilience. The situation drastically reverses in the Fossil-fuel Development (Taking the Highway) scenario (ssp585). Among the larger countries, Brazil is exposed to the highest risk of experiencing years with anomalously low GPP, especially in the Taking the Highway scenario.

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Zampieri, M., Grizzetti, B., Toreti, A., De Palma, P., & Collalti, A. (2021). Rise and fall of vegetation annual primary production resilience to climate variability projected by a large ensemble of Earth System Models’ simulations. Environmental Research Letters, 16(10). https://doi.org/10.1088/1748-9326/ac2407

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