Spatiotemporal Dynamic of Land Use/Land Cover Changes and Their Drivers in the Fincha' a-Neshe Sub-Basin, Southeastern Blue Nile Basin, Ethiopia

H. Abebe, A. Kebede, T. Alamirew, G. Desta
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Abstract

It is paramount to evaluate the spatiotemporal dynamics of land use and land cover (LULC) changes and their drivers. This is because it helps generate information on biodiversity, land productivity, ecology, and livelihoods for decision-making. Due to land degradation, deforestation, shifting cultivation, high population pressure, and the three national megaprojects (NMPs), the Fincha'a Neshe sub-basin (FNSB) LULC, changes may be unprecedented. This study aimed to investigate the spatiotemporal dynamics of LULC changes and their drivers using remote sensing (RS) data and geographic information systems (GIS). Landsat images 5, 7, and 8 were used for the discrete periods of 1986, 2000, and 2016, respectively. Field observations (Ground control points) and interviews were conducted with key participants to validate the data. Supervised classification with a maximum likelihood algorithm was used to classify the Landsat imagery. The results showed that the FNSB experienced substantial changes in LULC between 1986 and 2016, of which 13.8% (457.3 km2 ) were due to NMPs. The cropland cover has expanded by 694.4 km2 (57.81%) at a rate of 24.60 km2 year-1 at the expense of shrubland, forest, wetland, and grassland. In contrast, shrubland, forest, wetland, and grassland have declined at the rates of 16.8, 3.9, 3.4, and 1.7 km2 year-1 over the entire study period. Population growth and NMPs were the principal drivers of the changes in the LULC of the sub-basin. Thus, the LULC transformation rate observed in the sub-basin requires due attention and mitigation strategies, as it might seriously threaten the sustainability of natural resources and NMPs.
青尼罗盆地东南部Fincha' a-Neshe次流域土地利用/覆被变化时空动态及其驱动因素
土地利用/土地覆被变化的时空动态及其驱动因素研究具有重要意义。这是因为它有助于为决策提供有关生物多样性、土地生产力、生态和生计的信息。由于土地退化、森林砍伐、轮作、高人口压力,以及三个国家大型项目(nmp),即芬恰纳什子流域(FNSB) LULC,可能会发生前所未有的变化。利用遥感(RS)数据和地理信息系统(GIS)技术,研究中国土地利用储量变化的时空动态及其驱动因素。陆地卫星图像5、7和8分别用于1986年、2000年和2016年的离散时期。实地观察(地面控制点)和访谈主要参与者以验证数据。采用最大似然监督分类算法对陆地卫星影像进行分类。结果表明:1986—2016年,FNSB的LULC发生了较大变化,其中13.8% (457.3 km2)的变化是由nmp引起的。耕地覆盖面积以年均24.60 km2的速度增加694.4 km2(57.81%),灌木林、森林、湿地和草地面积减少。相比之下,灌丛、森林、湿地和草地在整个研究期间以16.8、3.9、3.4和1.7 km2 /年的速度减少。人口增长和nmp是子流域土地利用价值变化的主要驱动因素。因此,在子流域观察到的土地利用资源转化率需要得到应有的重视和缓解战略,因为它可能严重威胁到自然资源和国家生态系统的可持续性。
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