Abstract
BackgroundWet tropical forests of Chocó, along the Pacific Coast of Colombia, are known for their high plant diversity and endemic species. With increasing pressure of degradation and deforestation, these forests have been prioritized for conservation and carbon offset through Reducing Emissions from Deforestation and forest Degradation (REDD+) mechanisms. We provide the first regional assessment of forest structure and aboveground biomass using measurements from a combination of ground tree inventories and airborne Light Detection and Ranging (Lidar). More than 80,000 ha of lidar samples were collected based on a stratified random sampling to provide a regionally unbiased quantification of forest structure of Chocó across gradients of vegetation structure, disturbance and elevation. We developed a model to convert measurements of vertical structure of forests into aboveground biomass (AGB) for terra firme, wetlands, and mangrove forests. We used the Random Forest machine learning model and a formal uncertainty analysis to map forest height and AGB at 1-ha spatial resolution for the entire pacific coastal region using spaceborne data, extending from the coast to higher elevation of Andean forests.ResultsUpland Chocó forests have a mean canopy height of 21.8 m and AGB of 233.0 Mg/ha, while wetland forests are characterized by a lower height and AGB (13.5 m and 117.5 Mg/a). Mangroves have a lower mean height than upland forests (16.5 m), but have a similar AGB as upland forests (229.9 Mg/ha) due to their high wood density. Within the terra firme forest class, intact forests have the highest AGB (244.3 ± 34.8 Mg/ha) followed by degraded and secondary forests with 212.57 ± 62.40 Mg/ha of biomass. Forest degradation varies in biomass loss from small-scale selective logging and firewood harvesting to large-scale tree removals for gold mining, settlements, and illegal logging. Our findings suggest that the forest degradation has already caused the loss of more than 115 million tons of dry biomass, or 58 million tons of carbon.ConclusionsOur assessment of carbon stocks and forest degradation can be used as a reference for reporting on the state of the Chocó forests to REDD+ projects and to encourage restoration efforts through conservation and climate mitigation policies.
Highlights
Wet tropical forests of Chocó, along the Pacific Coast of Colombia, are known for their high plant diversity and endemic species
Mangroves cover an additional 1.4% of the area along the brackish waters of the coast. These vegetation classes are mapped at 30 m spatial resolution based on a land use land cover (LULC) map that was validated during the Biodiversity—Reducing Emissions from Deforestation and forest Degradation (BioREDD) project, for which the airborne lidar data were used to train Landsat imagery to perform a supervised classification
Where WD is the plot-mean value of wood density, and TCH is the plot-mean top canopy height from lidar observation (Fig. 3)
Summary
Wet tropical forests of Chocó, along the Pacific Coast of Colombia, are known for their high plant diversity and endemic species. Tropical forests have a prime role in carbon balance, biodiversity and society They contribute significantly to global terrestrial carbon stocks, host more than half of Earth’s species [1], and millions of people depend on forests for food, timber, and other economic and ecosystem services. Improving carbon stocks estimations in the tropics, in particular in poorly known regions, would help understanding the global carbon budget better and would enable these regions to participate in projects such as Reducing Emissions from Deforestation and forest Degradation (REDD+). These programs require regions or countries to report on the state of their forest to be able to qualify for carbon credits. We focus on one of these regions: the Chocó region
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