Eficiência de uso da luz do bioma Caatinga sob as condições climáticas do Seridó do Rio Grande do Norte
The model commonly used to estimate Gross Primary Production (GPP), including on a global scale to generate the MOD17 product, is based on the product of light use efficiency (LUE) and photosynthetically active radiation absorbed by the ecosystem (APAR). The LUE value is characteristic of each plant...
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| Formato: | bachelorThesis |
| Idioma: | pt_BR |
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Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/53433 |
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| Resumo: | The model commonly used to estimate Gross Primary Production (GPP), including on a global scale to generate the MOD17 product, is based on the product of light use efficiency (LUE) and photosynthetically active radiation absorbed by the ecosystem (APAR). The LUE value is characteristic of each plant species, and the average value of a natural ecosystem must effectively represent the average efficiency of plants or a value that represents the dominant species. Normally, the LUE value is calculated using parameterizations that start from a maximum value (LUEmax) and that is reduced by water and thermal stresses. This maximum value is normally obtained with data observed at the surface. Thus, the present research aimed to determine the LUE of the Caatinga biome, analyze its seasonal behavior and determine the LUEmax, using data observed with the Eddy Covariance (EC) method at ESEC-Seridó. The seasonality of the LUE did not present a direct relationship with the seasonality of precipitation, except on the days that follow isolated precipitation events during the dry season, characterized as a precipitation pulse. The LUEmax value was 1,75 gC MJ-1, higher the value observed in the cerrado (0,80 gC MJ-1) and lower than the value observed in the Amazon (2,23 gC MJ-1). Keeping the characteristics of each Biome mentioned, the value found here is consistent. However, other observations are recommended, given that the value determined here was based on data observed during extreme droughts. |
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