CO 2 Capture Capacity Measurement Using Multitemporal Analysis and Biophysical Variables in a Tropical Humid Forest in the Colombian Andes

Lina Patricia Vega (), Diego Felipe Garcia, Ronal Sierra-Parada and Iván Pirazan
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Lina Patricia Vega: Grupo GICAN, Environmental Engineering Faculty, Universidad Santo Tomas, Tunja 150003, Colombia
Diego Felipe Garcia: Environmental Engineering Faculty, Universidad Santo Tomas, Tunja 150003, Colombia
Ronal Sierra-Parada: Grupo INAM-USTA, Environmental Engineering Faculty, Universidad Santo Tomas, Bogotá 083060, Colombia
Iván Pirazan: Grupo GICAN, Environmental Engineering Faculty, Universidad Santo Tomas, Tunja 150003, Colombia

Sustainability, 2024, vol. 16, issue 11, 1-15

Abstract: This study analyzed the CO 2 capture potential for the Parque Natural Regional Serrania de las Quinchas buffer area in Colombia. For this purpose, multitemporal analysis for land covering for the years 1989, 2000, 2006, 2011, 2017 and 2021 was performed using the normalized difference vegetation index (NDVI) for each cover and land cover (LC) methodology. In the same way, aboveground biomass (AGB) was measured for representative parcels by measuring tree diameters and heights and applying adequate allometric models; carbon content in soils was measured too. The results showed that carbon content in soils is higher than that in aboveground biomass. Average values for the tree parcels were above 2 times the value recorded for average tropical humid forests, and one of them had a value 7 times this value. A very interesting potential for existing forest recovery was found for this area. Strategies for this include the development of sustainable practices, land use management, biodiversity preservation and the participation and leading of the local communities.

Keywords: spatiotemporal analysis; land cover; geographic information systems; aboveground biomass; carbon stock; remote sensing data; vegetation indices; Colombia (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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