University of Khartoum

Assessment of Forest Gaps, Deforestation Trends and Methods of Rehabilitation in Um Abdalla Natural Forest Reserve South Kordofan State, Sudan

Assessment of Forest Gaps, Deforestation Trends and Methods of Rehabilitation in Um Abdalla Natural Forest Reserve South Kordofan State, Sudan

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Title: Assessment of Forest Gaps, Deforestation Trends and Methods of Rehabilitation in Um Abdalla Natural Forest Reserve South Kordofan State, Sudan
Author: Abdelkareem, Osman Elsaid Adlan
Abstract: This study was conducted in Um Abdalla Natural Forest Reserve, South Kordofan. The main objective of the study was to assess forest gaps and their causes and extent of development into large area of deforestation and estimation of cover changes over successive periods using a combination of ground inventories and remote sensing techniques was another objective. Forest inventory in the year 2011 was carried out to constitute 248 sample plots of 0.1 hectare and compared with the previous inventories of 1998 and 2007 carried out by the Forests National Corporation (FNC). Tree species changes and areas of gaps were measured. One Hundred questionnaires were distributed randomly among different levels of respondents around Um Abdalla forest to collect data on people knowledge about forest changes. Remote sensing data from Landsat 4 TM 1992, Landsat 7 ETM+ 2000 and ASTER-TERRA 2005 and 2012 imageries covering the forest area were acquired and integrated with in-situ forest inventory data and ground points. Data from forest inventory and social survey were analyzed using excel 2007 and SPSS version 18, while the remote sensing data were analyzed using ERDAS software version 9.1. The study revealed that the forest gaps in Um Abdalla forest reserve represented 16.7% in 2011 from the total forest area of 4222 hectares. The gaps were categorized into small (< 0.1 ha), medium (0.2- 2.9 ha) and large (> 3.0 ha). Also the results showed that the forest is rich in tree species biodiversity where 53 species were recorded. However, the results V indicated significant increase (p >0.05) in the number of trees/ha during 1998 to 2007. The main causes of forest gaps were identified to include tree cutting 40% and fires 23% other causes included. Remote sensing data classified the land cover into seven classes namely, special soil (Tollay) (6.4%), dense vegetation (2.3%), burned land (3.3%), medium dense vegetation (46.1%), rocks with scattered Boswellia trees (20.3%), gaps within clay soil (16.3%) and gaps within sandy soil (5.3%). The overall accuracy assessment for the classified image of ASTER 2012 was excellent 85%, showing overall Kappa statistics as 0.83. The conversion matrix of land use land cover in UNFR showed a positive trend of change in the gap area both within sand (R2= 0.679) and clay soils (R2= 0.741) during the period 1992 - 2012. The area of medium dense vegetation showed marked increase (R2= 0.98) through the years (1992 - 2012). The results showed that the majority (65%) of respondents agreed on seedling transplanting as suitable way of rehabilitation of gaps. The study concluded that the negative human interventions and practices contributed very much in the forest destruction and gap ceation. Moreover, the application of remote sensing in the assessemnt of forest gaps is an effective tool in forest management.
Description: 121 Pages
URI: http://khartoumspace.uofk.edu/handle/123456789/18813
Date: 2016-02-08


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