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Land-Use Change Modelling in the Upper Blue Nile Basin

Environments(2016)

UNESCO IHE Inst Water Educ | IWMI | Univ Addis Ababa | UFZ Helmholtz Ctr Environm Res | German Environm Agcy

Cited 39|Views2
Abstract
Land-use and land-cover changes are driving unprecedented changes in ecosystems and environmental processes at different scales. This study was aimed at identifying the potential land-use drivers in the Jedeb catchment of the Abbay basin by combining statistical analysis, field investigation and remote sensing. To do so, a land-use change model was calibrated and evaluated using the SITE (SImulation of Terrestrial Environment) modelling framework. SITE is cellular automata based multi-criteria decision analysis framework for simulating land-use conversion based on socio-economic and environmental factors. Past land-use trajectories (1986–2009) were evaluated using a reference Landsat-derived map (agreement of 84%). Results show that major land-use change drivers in the study area were population, slope, livestock and distances from various infrastructures (roads, markets and water). It was also found that farmers seem to increasingly prefer plantations of trees such as Eucalyptus by replacing croplands perhaps mainly due to declining crop yield, soil fertility and climate variability. Potential future trajectory of land-use change was also predicted under a business-as-usual scenario (2009–2025). Results show that agricultural land will continue to expand from 69.5% in 2009 to 77.5% in 2025 in the catchment albeit at a declining rate when compared with the period from 1986 to 2009. Plantation forest will also increase at a much higher rate, mainly at the expense of natural vegetation, agricultural land and grasslands. This study provides critical information to land-use planners and policy makers for a more effective and proactive management in this highland catchment.
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land-use,land cover,Blue Nile,parameterization
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要点】:研究采用SITE模型,结合统计分析和实地调查,识别 Jedeb 流域的主要土地利用变化驱动因素,并预测未来趋势,发现农业用地和人工林将持续增加,对自然资源管理提供了重要参考。

方法】:通过整合统计数据分析、现场调查和遥感技术,本研究使用SITE模型模拟土地利用变化,该模型基于元胞自动机和多标准决策分析框架。

实验】:使用1986至2009年的土地利用轨迹和Landsat衍生地图(84%的一致性)进行模型校准和评估,预测2009至2025年的未来土地利用变化,发现农业用地从2009年的69.5%增加到2025年的77.5%,人工林也有显著增加。