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A synoptic land change assessment of Ethiopias Rainfed Agricultural Area for evidence-based agricultural ecosystem management

机译:埃塞俄比亚雨养农业区的天气概况评估用于循证农业生态系统管理

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摘要

This paper demonstrates synoptic ways of presenting and characterizing land change processes across Ethiopia's large, complex Rainfed Agricultural Area (RAA). We translated pixel-level detected changes into neighbourhood-level changes that are useful to decision-makers. First, we identified pixel-level changes without and with type/direction of change, based on land cover maps from the years 1986 and 2010. For type-/direction-based characterization, we sorted observed transitions into four categories of prominent land change processes (“forest degradation”, “deforestation”, “afforestation”, and “no change”). Adopting appropriate window sizes for identified ecoregions in the study area, we ran a focal statistics summation operator separately on the two change rasters (with/without consideration of direction of change). The results obtained by applying the approach can be described in relative terms as well as qualitative terms, using ranges of change values that can be further classified using qualitative terms, i.e. ranging from “no change” to “high/substantial change”. Our non-directional change assessment result showed that approximately 6% of the RAA is characterized by substantial change, whereas 40% appears stable (“no change”). Based on the directional-change assessment results, 3% of deforestation, 4% of forest degradation, and 3% of revegetation processes were found to constitute “high/substantial change”. The types and intensity of landscape transformations display distinct spatial patterns linked to agro-ecological belts and socio-economic dynamics. Minimal reverse changes were observed on some severely degraded lands in the highlands, but the overall per cent cover remains relatively small. Overall, vegetation degradation still exceeds regeneration by more than half a per cent. Relatively lower altitudes and middle altitudes exhibit higher transformation. The presented approach and resulting outputs can provide planners and decision-makers with a synoptic view of land change processes. It can support policy formulation of sustainable land management and rehabilitation activities of the agricultural ecosystem at national and regional scales.
机译:本文演示了介绍和描述埃塞俄比亚庞大而复杂的雨养农业区(RAA)土地变化过程的概要方法。我们将检测到的像素级更改转换为对决策者有用的社区级更改。首先,我们根据1986年和2010年的土地覆盖图,确定了没有或没有变化的类型/方向的像素级变化。对于基于类型/方向的特征描述,我们将观察到的过渡分为四类,主要是土地变化过程(“森林退化”,“森林砍伐”,“造林”和“不变”)。对于研究区域中已确定的生态区域,采用适当的窗口大小,我们分别在两个变化栅格上运行焦点统计汇总运算符(有/无考虑变化方向)。通过使用可以使用定性术语进一步分类的变化值范围,即从“无变化”到“高/实质变化”的范围,可以用相对术语以及定性术语描述通过应用该方法获得的结果。我们的非定向变化评估结果表明,大约6%的RAA具有实质性变化,而40%则显示稳定(“无变化”)。根据方向变化评估结果,发现3%的森林砍伐,4%的森林退化和3%的植被恢复过程构成“高/实质性变化”。景观转变的类型和强度显示出与农业生态带和社会经济动态相关的独特空间格局。在高地一些严重退化的土地上观察到最小的反向变化,但总覆盖率仍然相对较小。总体而言,植被退化仍然超过再生的一半以上。相对较低的海拔和中海拔显示较高的转换。提出的方法和产生的结果可以为规划者和决策者提供有关土地变化过程的概要视图。它可以支持在国家和区域范围内制定可持续土地管理和农业生态系统的恢复活动的政策。

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