Avaliação do sequestro de carbono de dois ecossistemas marginais da mata atlântica
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Data
2024-07-29
Autores
Bindeli, Gabrielli Machado
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Universidade Federal do Espírito Santo
Resumo
The greenhouse effect is a natural and necessary phenomenon for maintaining life on Earth. Over the years, this process has been strongly influenced by human activity, particularly industrialization and deforestation, leading to an imbalance in natural processes. This has resulted in global climate changes, including extreme events such as heatwaves, prolonged droughts, and above-average rainfall. These changes have had numerous consequences for the planet and its diverse forms of life. Among the various mechanisms aimed at mitigating the impacts of this process is investment in carbon sequestration and trading. This involves estimating the amount of carbon sequestered in a specific area to offset carbon emissions from a particular organization or entity. Based on this concept, a recent study sought to estimate the amount of carbon sequestered in distinct ecosystems in the state of Espírito Santo, Brazil. Two scenarios were considered using data from two different satellites. The analysis focused on two conservation units: Pedra Azul State Park (PEPAZ) and Paulo César Vinha State Park (PEPCV). These parks protect peripheral ecosystems of the Atlantic Forest. The study correlated topographical, meteorological, and vegetation characteristics with carbon sequestration. Four dates in 2023 were evaluated: May 3rd, August 7th, September 24th, and November 11th. The results indicated that PEPAZ sequestered a greater amount of carbon on all evaluated days. Temperature and solar radiation were the most influential variables in this process. Regarding vegetation, forested areas had a greater carbon sequestration capacity compared to less dense formations, such as rocky outcrops and open shrublands. While there was good correlation between scenarios A and B, discrepancies were observed when evaluating the Mean Squared Error (MSE) and the Root Mean Squared Error (RMSE). Therefore, fieldwork is recommended to validate which method aligns better with reality. The methodology of this work can be adapted and applied to other regions of Brazil and the world.
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Fitofisionomias , Sensoriamento remoto , Produção primária bruta