Assessment of SITE for CO₂ and Energy Fluxes Simulations in a Seasonally Dry Tropical Forest (Caatinga Ecosystem)

• Main Authors: Keila R. Mendes, Suany Campos, Pedro R. Mutti, Rosaria R. Ferreira, Tarsila M. Ramos, Thiago V. Marques, Jean S. dos Reis, Mariana M. de Lima Vieira, Any Caroline N. Silva, Ana Maria S. Marques, Duany T. C. da Silva, Daniel F. da Silva, Cristiano P. Oliveira, Weber A. Gonçalves, Gabriel B. Costa, Marcelo F. Pompelli, Ricardo A. Marenco, Antonio C. D. Antonino, Rômulo S. C. Menezes, Bergson G. Bezerra, Cláudio M. Santos e Silva
• Format: Article
• Language: English
• Published: MDPI AG 2021-01-01
• Series: Forests
• Subjects: biophysical parameters; biosphere-atmosphere interaction; CO₂ flux; model evaluation/performance; sensible heat flux; surface fluxes
• Online Access: https://www.mdpi.com/1999-4907/12/1/86

Although seasonally dry tropical forests are considered invaluable to a greater understanding of global carbon fluxes, they remain as one of the ecosystems with the fewest observations. In this context, ecological and ecosystem models can be used as alternative methods to answer questions related to the interactions between the biosphere and the atmosphere in dry forests. The objective of this study was to calibrate the simple tropical ecosystem model (SITE) and evaluate its performance in characterizing the annual and seasonal behavior of the energy and carbon fluxes in a preserved fragment of the Caatinga biome. The SITE model exhibited reasonable applicability to simulate variations in CO₂ and energy fluxes (<i>r</i> > 0.7). Results showed that the calibrated set of vegetation parameters adequately simulated gross primary productivity (GPP) and net ecosystem CO₂ exchange (NEE). The SITE model was also able to accurately retrieve the time at which daily GPP and NEE peaked. The model was able to simulate the partition of the available energy into sensible and latent heat fluxes and soil heat flux when the calibrated parameters were used. Therefore, changes in the dynamics of dry forests should be taken into consideration in the modeling of ecosystem carbon balances.