GROWTH AND CARBON STORAGE POTENTIAL OF IMPORTANT AGROFORESTRY TREES OF NORTH-WEST HIMALAYA
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Date
2018-10
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UHF, NAUNI
Abstract
ABSTRACT
The present investigation entitled “Growth and Carbon Storage Potential of Important Agro- forestry
Trees of north-west Himalaya” was carried out at Dr Y S Parmar University of Horticulture and Forestry, Nauni,
Solan, HP during the year 2017-18. Agroforestry is considered as a mitigation and adaptation tool to climate change.
Agroforestry system are now a day the subject of many investigations all over the world. This is because of their
potential for carbon storage. The contribution of this system to climate change mitigation has to do with the organic
carbon storage in trees. This study aims at presenting an overview of the current knowledge on allometric relations
for estimating stem volume, stem biomass, branch and leaf biomass and aboveground biomass on the basis of DBH
and Height of tree and growth pattern curve, carbon storage and developed various allometric equations on selected
Agroforestry trees. Total seven species including 210 trees were marked selected in the present study. The
maximum adjust R2 found in; Albizia chinensis where quadratic function showed the highest adj R2 (0.993) on the
basis of DBH and according to the height of tree (H), the best fit was also quadratic, which showed adj R2 in the
value of (0.695), on the other hand for six species trees, power function was the best significant equation which
modified the highest adj R2 for the following specieses, that are Albizia lebbeck (0.964), Acacia mollissima (0.992),
Melia composita (0.990), Dalbergia sissoo (0.992), Toona ciliata (0.888) and Ulmus villosa (0.990) recorded on the
basis of DBH, however, to the Height of tree as a independent variable, the best equation was sigmoid which
showed the adj R2 value in Albizia lebbeck (0.480), Acacia mollissima (0.530), Melia composita (0.598), Dalbergia
sissoo (0.551), Toona ciliata (0.645) and Ulmus villosa (0.597). The total biomass (AGB + BGB) was calculated
using specific gravity and root-shoot ratio. Branch and leaves biomass of each species was estimated using biomass
expansion factor (BEF) of trees as per the guidelines of IPCC (2003). All biomass values were converted to tree
biomass carbon by multiplying factor of 0.5. However, in this research, equation selection was based on adjust R2
and minimum standard error. The allometric equation developed in the present study can be utilized for future
allometric relations for estimating of tree component and carbon storage of species under study.
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