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Assessment of SITE for CO2 and Energy Fluxes Simulations in a Seasonally Dry Tropical Forest (Caatinga Ecosystem)
- Source :
- Forests, Vol 12, Iss 86, p 86 (2021), Forests, Volume 12, Issue 1
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- 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 &gt<br />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.
- Subjects :
- 0106 biological sciences
010504 meteorology & atmospheric sciences
surface fluxes
CO2 flux
Biome
Biosphere
Forestry
Context (language use)
lcsh:QK900-989
Sensible heat
Atmospheric sciences
biophysical parameters
01 natural sciences
sensible heat flux
model evaluation/performance
Ecosystem model
Latent heat
Available energy
lcsh:Plant ecology
Environmental science
Ecosystem
biosphere-atmosphere interaction
010606 plant biology & botany
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- ISSN :
- 19994907
- Volume :
- 12
- Issue :
- 86
- Database :
- OpenAIRE
- Journal :
- Forests
- Accession number :
- edsair.doi.dedup.....ed001665526e07c4c95337520f3c2829