Dados do Trabalho

Título

POTENTIAL OF SOIL CARBON SEQUESTRATION IN SANTA CATARINA BY GEOPROCESSING

Resumo

The ecosystems of the state of Santa Catarina possess significant carbon reservoirs in their soils. A better understanding of the soil's potential for carbon sequestration is essential to fill a gap in the agricultural sector of the state in the face of climate change threats. The objective of this study was to analyze the variability, in legacy data, of the soil's potential for sequestering atmospheric carbon in Santa Catarina. Data on organic carbon in soils (0-30 cm) were compiled, and the variability was visualized in edaphoclimatic zones as well as in the categorization of soil classes (2nd categorical level), interpreted using QGIS and the R programming language. The soil carbon sequestration potential in Santa Catarina ranged from 0.014 to 0.173 Mg C ha-1year-1. The edaphoclimatic zones of Alto Irani and Alto Vale do Rio do Peixe (zone 4B), Planalto Serrano de São Joaquim (zone 5), and Campos de Lages (zone 4A), as well as the soil classes of Latossolo Bruno, Nitossolo Bruno, and Cambissolo Húmico, were the areas with the highest potential for carbon sequestration. In these areas, the highest storage capacity is achieved through sustainable soil management, via conservation agriculture, over a period of 20 years, with a 5% increase in carbon input. This study reinforced that areas with higher altitudes and cold temperatures in Santa Catarina are important reservoirs of organic carbon in the soil. Thus, if managed through the conservation of agricultural ecosystems, they can act as a source of carbon dioxide (CO2), contributing to climate change adaptation and mitigation, generating carbon credits for farmers, and preserving soil conservation.

Palavras-chave

Climate-smart agriculture; Legacy data; Descarbonization, Health soil

Instituição financiadora

This paper was granted by Coordenation of Superior Level Staff Improvement (CAPES) and University of São Paulo/Luiz de Queiroz College of Agriculture (USP/ESALQ).

Agradecimentos

The authors thanks to Geomatics Laboratory, GeoCis Research Group and Graduate Program Agricultural and Natural Ecosystems (PPGEAN)