Abstract

We present here an example of research into methodology of an estimation of carbon and biomass pools in forests using the USDA Forest Service, Forest Inventory and Analysis (FIA), data of the 1989 and 1998 surveys for Georgia forests, as relevant for comparison with other extremely highly-cited estimates of similar, but different, methodologies. Based on the derived estimates, we produce an example map of the biomass density and pools at a sub-county level resolution, which is based on spatially explicit simulations of the potential cover-type polygons implied by the FIA data with approximate plot locations. Our results include estimates of the biomass pools in the belowground biomass in roots, aboveground woody biomass in trees, and the biomass of foliage. We estimated the biomass densities and pools at a tree level using diameters and heights and previously published models, then propagated these results to the plot level using tree expansion factors, and then transformed these estimates to plot-dependent polygons using plot expansion factors. The plot-dependent polygons were spatially simulated using a simplified assumption of homogeneity of conditions surrounding each plot to the extent of the area defined by this plot’s expansion factors. The derived map provides a visual representation of the distribution of forest biomass densities and pools in the state of Georgia with distinctive patterns observed in various areas of urban development, federally owned forests, primary commercial forestland, and other land use areas. Coniferous forests with the highest total biomass density are located mostly in three regions: northern Georgia (Appalachian Highlands), the southern part of Piedmont, and the eastern part of Coastal Plain. Deciduous and mixed forests with the highest biomass density are concentrated mostly in the northern part of the state—especially in the Blue Ridge physiographic province, and in the western part of the East Gulf Coastal Plain. Counties with the highest biomass density were located primarily in the northern part of the state, while counties with the lowest density tended to be located in the Coastal Georgia area.

Highlights

  • Plant growth produces biomass through photosynthesis absorbing carbon (C) from CO2 in the atmosphere, freeing O2, and providing more available oxygen in the air, which is vital for human and animal life and growth

  • In the United States, the fastest changes are observed in the southeastern part of the country [4], which can be amplified through intensive plantations management, resulting in increased gains in biomass growth and carbon sequestration [5], as well as more robust sustainability levels of the harvested biomass

  • The aim of this study is to present an alternative methodology to the highly-cited biomass expansion factors (BEF)-based methodology proposed by [11]

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Summary

Introduction

Plant growth produces biomass through photosynthesis absorbing carbon (C) from CO2 in the atmosphere, freeing O2, and providing more available oxygen in the air, which is vital for human and animal life and growth. Forests are an important part of global and regional terrestrial carbon cycles, as they can store large amounts of carbon in their biomass and soils. Because of their importance in sequestration of CO2 and carbon storage, there is a need for accurate and realistic estimation of the amount of carbon they store and sequestrate in a given period of time. Accurate and timely inventory of biomass and carbon is especially important in fastchanging areas. This includes changes caused by human activity, such as harvesting and clearing for non-forest uses. In the United States, the fastest changes are observed in the southeastern part of the country [4], which can be amplified through intensive plantations management, resulting in increased gains in biomass growth and carbon sequestration [5], as well as more robust sustainability levels of the harvested biomass

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