Using LiDAR to estimate anthropogenic impacts on forestry carbon stocks
Ecosystem services, Forest restoration, LIDAR, Conservation of forest resources, Climate change
LiDAR (Light Detection and Ranging) is a technology that provides detailed measurements of forest structure in high resolution over large areas, facilitating assessments of forest carbon stocks in intact and degraded forest types. Due to the need for more detailed spatial information on how the degradation of carbon stocks occurs due to anthropogenic disturbances, the objective was (a) to verify if there is a significant difference and to accurately estimate the average carbon per hectare of different forest types using airborne LiDAR, (b) detail the edge effects on carbon stock variability and the threshold of these effects. This study was conducted in areas of native and secondary forest in the extreme south of Bahia, at RPPN Estação Veracel. The LiDAR point cloud in the RPPN area was used to quantify aboveground carbon and obtain metrics, historical land use and land cover data, and distance data from forest edges within the RPPN boundaries. For modeling, we used Mixed Generalized Linear Models (GLMM), and the breakpoint of the edge effect and the slope for each vegetation type were analyzed with piecewise linear regression. Our results showed significant differences between the carbon stocks of primary and secondary forests (p>0.001) even after a long time since the end of the disturbance. The relationship between slope and carbon stock may be related to land use history. We also found how edge effects influence forest degradation: in primary forests, the first 182 meters impact 25.07% of the carbon stock, and after this threshold tends to stabilize, while in the secondary forest, the first 48 meters impact 56.63% of the carbon stocks. Our results can be used to specify a spatially explicit relationship between edge effects and carbon stocks. Many solutions for climate mitigation based on native forests still do not have the best scientific information available to assess the variability of ecosystem services with high precision.