Abstract
The soil organic carbon (SOC) content under climate change scenarios is essential, especially in areas of difficult access such as the high-altitude Tropical paramos. This study aimed to correlate the digital elevation model (DEM) derivatives, spectral indices from Sentinel-1 and Sentinel-2, and WorldClim data with in situ SOC content in the PNR-Cortadera paramo (Boyaca, Colombia). Based on 169 soil samples collected at two depths (0-15 and 15-30 cm) organic carbon was determined using the Walkley-Black method. SOC contents ranged from 25 to 200 t HA-1 at 0-15 cm and from 33 to 466 t ha-1 at 15-30 cm. Altitude, temperature, NDVI, TWI0-15 cm, MRVBF, LS factor0-15 cm and VH band polarization showed the highest correlations and the lowest variance inflation factor. The highest SOC contents are located in the central and southern area of the paramo due to the higher altitude, greater precipitation and presence of vegetation cover.
Publisher
Sociedad Colombiana de Ciencias Horticolas
Reference41 articles.
1. Africano, K.L. G.E. Cely, and P.A. Serrano. 2016. Potencial de captura de CO2 asociado al componente edáfico en páramos Guantiva-La Rusia, departamento de Boyacá, Colombia. Perspect. Geogr. 21(1), 91-110.
2. Akpa, S.I.C., I.O.A. Odeh, T.F.A. Bishop, A.E. Hartemink, and I.Y. Amapu. 2016. Total soil organic carbon and carbon sequestration potential in Nigeria. Geoderma 271, 202-215. Doi: https://doi.org/10.1016/j.geoderma.2016.02.021
3. Andrade, H.J., M.A. Segura, and D.S. Canal-Daza. 2022. Conservation of soil organic carbon in the national park Santuario de Fauna y Flora Iguaque, Boyacá-Colombia. Forests 13(8), 1275. Doi: https://doi.org/10.3390/f13081275
4. Armas, D., M. Guevara, D. Alcaraz-Segura, R. Vargas, M.A. Soriano-Luna, P. Durante, and C. Oyonarte. 2017. Mapa digital del perfil del carbono orgánico en los suelos de Andalucía, España. Ecosistemas 26(3), 80-88. Doi: https://doi.org/10.7818/ECOS.2017.26-3.10
5. Ayala, J.E. 2019. Mapeo digital de carbono orgánico del suelo mediante imágenes satelitales y algoritmos de autoaprendizaje en el ecosistema Herbazal del Páramo, provincia de Chimborazo, Ecuador. MSc thesis. Facultad de Ciencias Astronómicas y Geofísicas, Universidad Nacional de La Plata, Buenos Aires.