Simulating Net Ecosystem Productivity (NEP) in Mediterranean Pine Forests (Pinus brutia) During the 21st Century: The Effect of Leaf Area Index and Elevation

模拟21世纪地中海松林(Pinus brutia)的净生态系统生产力(NEP):叶面积指数和海拔的影响

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Abstract

The Gross Primary Productivity (GPP) of Mediterranean forest is expected to change over the 21st century due to the warmer and drier conditions. In this study, we present a process-based forest carbon-flux model, where stand structure and soil heterotrophic respiration have been parameterized with long-term monitoring data in a Mediterranean Pinus brutia. Ten. forest. The developed model was validated using an independent annual tree-ring increment dataset from the 1980-2020 period (baseline climate) across a post-fire gradient (four plots) and an elevation gradient (five plots). Additionally, the model was forced with two downscaled climate change scenarios (RCP4.5 and RCP8.5) for the 2020-2100 period. Average GPP, Net Primary Productivity (NPP), ecosystem Respiration (R(eco)) and Net Ecosystem Productivity (NEP) were calculated for two future time periods (2051-2060 and 2091-2100) under the two climate change scenarios and compared along the two gradients. Under baseline climate conditions, our simulations suggest a temperature sensitivity of GPP and R(eco), as expressed along the elevation gradient. However, the effect of stand structure (represented through the site-specific leaf area index (LAI)) was more prominent, both along the elevation gradient and the post-fire chronosequence. Under the two climate change scenarios, a reduced GPP and an increased R(eco) lead to reduced NEP compared to baseline climate conditions across all study plots.

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