Vol.1 No.6 -6 : Pioneer Study on the Assessment of ground carbon content for species (Acacia seyal, Acacia sengal and Balanites aegyptiaca) using inventory data as Climate Change Indicators in Sudan .

By : Osama B. Ali

Abstract

Sudan is vast country with diverse of ecological systems, however the contribution to climate within the global climate would be addressed remarkably for the situation of the on-going activity. The climate change and mitigation could be observed through forest inventory using volume of wood and the above ground carbon content of land cover. This study was carried out during the summer of 2012 at the Higlig Area south of Kordfan state near the borders with South .A sum total of 176 sample plots with radices 200m2 cover area representing 196000 hectares. Each sample plot was marked on the map using the Global Positioning System (GPS) the position was detected any lay out took place. Each sample plot was measured by callipering all trees with diameter at breast height (dbh) ≥4 cm (DBH) and tree number record with maximum number of 10 trees. The data led to classify forest types according to tree number per hectare to close forest, open wood land and scattered trees and shrubs, volume of each was calculated as 86180m3,16065m3, 10394m3respectively and total of 112639m3.The dry volume were changed to carbon content using the biomass expansion factor for tropical forests(0.7975) so total of 296505kg of carbon content for closed forest,1892kg carbon content for open forest and 721kg for trees and shrubs with total of 299118kg for the whole area, the carbon content expressed as carbon sink in the form of above ground carbon content, thus reflect towards climate change and mitigation as same would be carbon emission for other uses, any forest inventory should extracted those data to reflect the balance of above ground carbon in way of carbon sink or carbon emission.

6. Pioneer Study on the Assessment of ground carbon content for species (Acacia seyal, Acacia sengal and Balanites aegyptiaca) using inventory data as Climate Change Indicators in Sudan .
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