Artigo Acesso aberto Produção Nacional Revisado por pares

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

2021; Multidisciplinary Digital Publishing Institute; Volume: 12; Issue: 1 Linguagem: Inglês

10.3390/f12010086

ISSN

1999-4907

Autores

Keila Rêgo Mendes, Suany Campos, Pedro R. Mutti, Rosária R. Ferreira, Tarsila M. Ramos, Thiago V. Marques, Jean Souza 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 Prestrelo de Oliveira, Weber Andrade Gonçalves, Gabriel Brito Costa, Marcelo F. Pompelli, Ricardo Antonio Marenco, Antônio Celso Dantas Antonino, Rômulo Simões Cézar Menezes, Bergson Guedes Bezerra, Cláudio Moisés Santos e Silva,

Tópico(s)

Soil Carbon and Nitrogen Dynamics

Resumo

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 (r > 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.

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