Abstract Relative to flat surfaces, mountain terrains modify solar radiation absorbed by vegetation on sloping surfaces, causing changes in mass and energy fluxes, including gross primary productivity (GPP) and evapotranspiration (ET). However, these changes are generally ignored in regional and global ecosystem models and their magnitudes have not been systematically evaluated. In this study, we first validated the Biosphere‐atmosphere Exchange Process Simulator (BEPS) model against measured GPP and ET over mountainous sites, and then applied it to a mountainous region (Fujian Province, China). In BEPS, the topographic effects are systematically considered in the following steps: (1) the satellite‐derived leaf area index (LAI) is projected to sloping surfaces, (2) canopy radiative transfer is modeled relative to the normal to the slope, and (3) the modeled fluxes are reprojected from sloping to horizontal surfaces. Step (1) decreases LAI as sloping surfaces are larger than the corresponding horizontal surfaces, but Step (3) increases fluxes in the opposite way. Because of the nonlinear relationships between fluxes and LAI, GPP and ET simulations without considering the topographic effects are always underestimated, especially on sunlit slopes. The underestimation increases with increasing slope, and for slopes greater than 40°, GPP is underestimated by 11% and ET by 33%, suggesting that existing global GPP and ET products could have been significantly underestimated in mountainous regions.
Plain Language Summary Mountains modify how solar energy is absorbed by vegetation, affecting carbon absorption (gross primary productivity, GPP) and water evaporation (evapotranspiration, ET). However, many global models overlook terrain effects, leading to inaccuracies. In our study, we used the Biosphere‐atmosphere Exchange Process Simulator (BEPS) to account for these effects. First, we validated the model using tower‐measured data from mountainous areas, then applied it to Fujian Province in China, to assess topographic influences on fluxes. In BEPS, topographic effects are systematically considered for (1) satellite‐derived LAI, (2) canopy radiative transfer, and (3) simulation‐derived fluxes. Step (1) decreases LAI as sloping surfaces are larger than the corresponding horizontal surfaces, but Step (3) increases fluxes in the opposite way. Because of the nonlinear relationships between fluxes and LAI, GPP and ET simulations without considering the terrain effects are always underestimated. Our results show that ignoring terrain effects can lead to significant underestimates of GPP and ET, especially on steep, sunlit slopes. For slopes greater than 40°, GPP is underestimated by 11%, and ET by 33%. This suggests that existing global GPP and ET estimates may significantly underestimate values in mountainous regions.
Key Points Terrain effects should be systematically considered in satellite‐derived leaf area index (LAI), canopy radiative transfer, and modeled fluxes Considering terrain effects, satellite‐derived LAI decreases on sloping surfaces, while modeled fluxes increase in the opposite way Due to the nonlinear relationship between fluxes and LAI, simulations of gross primary productivity and ET without considering terrain effects are underestimated