QUANTIFYING FOREST ABOVEGROUND CARBON POOLS AND FLUXES USING MULTI-TEMPORAL LIDAR A report on field monitoring, remote sensing MMV, GIS integration, and modeling results for forestry field validation test to quantify aboveground tree biomass and carbon

Spangler, Lee H.; Vierling, Lee A.; Stand, Eva K.; Hudak, Andrew T.; Eitel, Jan U. H.; Martinuzzi, Sebastián

doi:10.2172/1037874

Cited by 1 publication

(1 citation statement)

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“…Forests being one-third of the earth's land surface [1] contribute far-reaching benefits to mankind as an indispensable part of the atmosphere, such as their carbon sequestration capacity [2] and other long-term ecosystem services [3]. Forests cover almost 31 percent of the global land area [4] and serve a variety of cultural, ecological, and economic roles, providing a link between the natural world and human civilization [5].…”

Section: Introductionmentioning

confidence: 99%

Carbon Stock Estimation of Selected Subtropical Broad-Leaved Evergreen Scrub Forest

et al. 2022

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This research estimates the carbon stock of the subtropical broad-leaved evergreen scrub forest of Lehtrar, a revenue estate of Kotli Sattian, Rawalpindi, Punjab, Pakistan. A total of six nested co-centric plots of 17.84 m2 each were laid out in the forest, having two sub-plots of 5.64 m2 and 1 m2 each, for shrubs and litter, respectively. Stem density, tree height, diameter at breast height (DBH), total tree biomass, and total carbon stock were calculated. In each plot, parameters like latitude, longitude, aspect, slope, elevation, tree count, etc., were catalogued. The carbon value was calculated in pools such as aboveground biomass (AGB), belowground biomass (BGB), litter, shrubs, etc. The tree height was measured using Abney’s level and the diameter at breast height (DBH) with diameter tape, while factors such as volume, shrub mass, litter mass, total tree biomass, and total carbon stock were calculated by using standard formulas. Results showed Olea ferrugineae to be the most abundant tree species in the study area, followed by Acacia modesta. The total average DBH and height were calculated as 17.03 and 16.79, respectively, with the species Dalbergia sissoo having the greatest DBH value. The mean carbon stock came out to be 47.75 tons/ha, with plot number 3 having the highest value of carbon stock, owing to the greatest stem count. The results of the study were significant and reflected a rich stem density, rich biomass, and an adequate carbon stocking capacity. The scrub forests of the study area, being important carbon sinks, are prone to deforestation and forest degradation activities that need to be controlled by using proper forest management practices to keep their carbon sequestration ability intact, as suggested under various reducing emissions from deforestation and forest degradation (REDD initiatives of UNFCCC.

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Section: Introductionmentioning

confidence: 99%