Oscar Javier Munar Vivas1, Sofía Pedraza Márquez1, Yolanda Rubiano Sanabría1, Sebastián Anderson Guerrero2 and Alexander Mauricio Caballero Rodríguez3
1Universidad Nacional de Colombia, Colombia
2Cenicaña, Colombia
3Risaralda Sugar Mill, Colombia
This study was conducted to quantify soil organic carbon reserves, a critical factor for assessing carbon storage potential and its impact on climate change. Accurate measurement of these reserves enables the development of effective strategies for soil management and greenhouse gas emission reduction. Digital soil mapping used organic matter data obtained from laboratory analysis and bulk density calculated via a pedotransfer function algorithm. These data were integrated into a model to generate a digital map of soil organic carbon reserves for Risaralda’s sugar mill, with a sampling depth of 20 cm. The results include a detailed digital map of soil organic carbon reserves at Risaralda’s sugar mill, revealing variations in carbon concentration across different soil areas. The integration of digital data on organic matter and bulk density allowed for a precise and geospatially informed assessment, facilitating optimal soil management and the implementation of sustainable agricultural practices. The generated digital map provides an accurate depiction of soil carbon variations, crucial for effective management. In the next phase, a soil auger will be used to collect core samples, enhancing the precision of the digital map.