Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Accueil du site → Master → Soudan → Assessment of Forest Degradation in Umfakarin Natural Forest Reserve, South Kordofan State, Sudan During the Period (1988-2018)

University of Khartoum (2020)

Assessment of Forest Degradation in Umfakarin Natural Forest Reserve, South Kordofan State, Sudan During the Period (1988-2018)

Mosab Khalil Algidail Arbain

Titre : Assessment of Forest Degradation in Umfakarin Natural Forest Reserve, South Kordofan State, Sudan During the Period (1988-2018)

Auteur : Mosab Khalil Algidail Arbain

Université de soutenance : University of Khartoum

Grade : Master of Science (MS) in Forestry, Forest Management 2020

Résumé partiel
This study was conducted in Umfakarin Natural Forest Reserve (UNFR), South Kordofan State (SKS) on area of (2748 hectares). It lies in Lat 12̊ 29’ 12̊ 35 N. and Long 31̊ 17’ 31̊ 20 E., with elevation range between (485-512 m), and situated in a low-rainfall woodland savannah where annual rainfall ranges from (350-900 mm), and Temperatures range from (30-35° C). The study was aimed to monitor, assess and map forest degradation during the period (1988-2018 years) based on the applications of remote sensing, geographical information system (GIS) and satellite images. It was intended to quantify the changes of tree cover, identify the main causes of forest degradation, and develop suitable approaches for reforestation programs in the study area. The study applied multi-temporal Landsat satellite images of TM-1988, ETM+-2002 and Landsat-8 (OLI TIRS-2018) acquired in a dry season, these images were geo-referenced and enhanced. Unsupervised, supervised classification and change detection were applied, as well as NDVI categorization for all three satellite images of UNFR. images preprocessing and post-processing classification applied using ERDAS IMAGINE-8.5 and ArcMap-10.4.1 software’s. Digital Elevation Models (DEMs) were applied and extracted from Shuttle Radar Topography Mission (SRTM) data. Field inventory was conducted in UNFR, where 44 random sample plots were measured and calculated using Excel worksheet, as well as a social survey via interviews in three different villages, (Umfakarin, Awlad Rahal and Alhafiera Dardig/Umdam), 97 questionnaires were analyzed via SPSS statistic-22 using descriptive Statistics-Frequencies. Secondary data was collected from relevant sources such as publications, books, reports and websites. The result of field inventory showed low density of trees (44 tree/ha) with good natural regeneration (400/ha) in UNFR dominated by Talih trees. Four classes of land use/land cover were identified through supervised classification processes, according to the differences in spectral reflectance of Infrared portion within electromagnetic spectrum (tree cover, mixed vegetation, agricultural land and bare land). Taken the total period of study, the results showed that the tree-cover class decreased from 19.89% in 1988 to 18.43% of the total forest area in 2018, mixed-vegetation class increased from 16.08% in 1988 to 22.54% of the total forest area in 2018, while agriculture land extended inside forest land from 24.33% in 1988 to 31.96% of the total forest area in 2018. Class of bare land decreased from 39.70% in 1988 to 27.08% of the total forest area in 2018. The results of social survey showed that, the most important causes of forest degradation in the study area are linking to the human activities in terms of illegal cutting 88%, followed by nomadic camps 44%, overgrazing 35% and shifting cultivation 21%

Présentation

Version intégrale (3,4 Mb)

Page publiée le 5 février 2023