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Land decline in Land-Rich Africa

A creeping disaster in the making








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    Land use and land cover changes and the link to land degradation, Ethiopia
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Accurate information on land use and land cover change (LULCC) is critical for understanding the causes of change and for developing effective policies and strategies to slow and reverse land degradation. In Ethiopia, the speed and scale of LULCC has been accelerated in the last 3–4 decades of the 21st century. The objectives of this study were to assess: (i) the extent of LULCC and normalized difference vegetation index (NDVI) and the link to land degradation; (ii) the causes of LULCC and implication for climate change adaptation. Satellite images analysis was used to detect the change in area and vegetation index, and farmers’ perception to see the magnitude of LULCC dynamics and causes of deforestation. Correlations were made between vegetation index with dry season rainfall and temperature. The analysis of confusion matrix of LULC classification showed 87% accuracy with Kappa coefficient of 0.84. In the period 1986–2016, agriculture and settlement areas have increased by 250% and 618%, respectively. On the other hand, forests and woodlands have decreased by 72% and 84%, respectively. These were also validated with the farmers’ quantification results with similar trends. Different causes have played roles in the dynamics of LULCC. The results showed that vegetation dynamics vary both spatially and temporally against precipitation and temperature. This study informs the need to focus on halting deforestation and development of alternative energy sources. It further helps to design future land management directions, landscape based adaptation and rehabilitation strategies to be considered by policy makers. Keywords: Adaptive and integrated management, Agriculture, Biodiversity, Climate change,landscape management ID: 3599543
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    Land degradation in the refugee camps of northern part of Cox’s Bazar South Forest Division 2019
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    After the largest influx of Rohingya refugee in Bangladesh, the massive blow has destructed notable amount of forestlands in Cox's Bazar. Bangladesh Forest Department (BFD) recognized the necessity of land restoration in and around Rohingya camps. To support BFD with technical assistnce, FAO has prepared some maps on degradation of forest lands and restoration activities for the area. Different levels of land degradation were identified throughout Cox's Bazar South Forest Division between February 2017 and February 2018. Sentinel 2 multispectral 10 m images with maximum cloud cover of 10 percent were used to determine normalized difference vegetation index (NDVI) for each time period. Based on the NDVI values, five broad land cover classes were delineated - water, settlement, bare land, sparse vegetation, and dense vegetation. The two periods were then overlaid to observe land cover changes over the one year period. Finally, the resulting land cover changes were assigned to the following land degradation categories: High - dense vegetation to bare land, settlement, or water; Medium - sparse vegetation to bare land, settlement, or water; Low - dense vegetation to sparse vegetation.
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    Land degradation in the refugee camps of middle part of Cox’s Bazar South Forest Division 2019
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    After the largest influx of Rohingya refugee in Bangladesh, the massive blow has destructed notable amount of forestlands in Cox's Bazar. Bangladesh Forest Department (BFD) recognized the necessity of land restoration in and around Rohingya camps. To support BFD with technical assistance, FAO has prepared some maps on the degradation of forest lands and restoration activities for the area. Different levels of land degradation were identified throughout Cox's Bazar South Forest Division between February 2017 and February 2018. Sentinel 2 multispectral 10 m images with a maximum cloud cover of 10 percent were used to determine normalized difference vegetation index (NDVI) for each time period. Based on the NDVI values, five broad land cover classes were delineated - water, settlement, bare land, sparse vegetation, and dense vegetation. The two periods were then overlaid to observe land cover changes over the one year period. Finally, the resulting land cover changes were assigned to the following land degradation categories: High - dense vegetation to bare land, settlement, or water; Medium - sparse vegetation to bare land, settlement, or water; Low - dense vegetation to sparse vegetation.

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