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Land Suitability Analysis for Potato Crop in the Jucusbamba and Tincas Microwatersheds (Amazonas, NW Peru): AHP and RS–GIS Approach

机译:Jucusbamba和Tincas MicroOwatersheds(亚马逊,NW秘鲁)的土地适应性分析:AHP和RS-GIS方法

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摘要

Agricultural productivity in the Peruvian region of Amazonas is being jeopardized by conflicts and inadequate land use, that are ultimately contributing to environmental degradation. Therefore, our aim is to assess land suitability for potato (Solanum tuberosum L.) farming in the Jucusbamba and Tincas microwatersheds located in Amazonas, in order to improve land-use planning and enhance the crop productivity of small-scale farmers. The site selection methodology involved a pair-wise comparison matrix (PCM) and a weighted multicriteria analysis using the Analytical Hierarchy Process (AHP) on selected biophysical and socioeconomical drivers. Simultaneously, land cover mapping was conducted using field samples, remote sensing (RS), geostatistics and geographic information systems (GIS). The results indicated that for potato crop farming, the most important criteria are climatological (30.14%), edaphological (29.16%), topographical (25.72%) and socioeconomical (14.98%) in nature. The final output map indicated that 8.2% (22.91 km2) was highly suitable, 68.5% (190.37 km2) was moderately suitable, 21.6% (60.11 km2) was marginally suitable and 0.0% was not suitable for potato farming. Built-up areas (archaeological sites, urban and road networks) and bodies of water were discarded from this study (4.64 km2). This study intends to promote and guide sustainable agriculture through agricultural land planning.
机译:亚马逊秘鲁地区的农业生产力受到冲突和土地利用不足的危害,最终导致环境退化。因此,我们的宗旨是评估马铃薯(Solanum Tuberosum L.)在Jucusbamba和位于亚马逊的Tincas Microowatersheds的土地适用性,以改善土地利用规划,提高小规模农民的作物生产力。站点选择方法涉及使用所选生物物理和社会经济驱动程序的分析层次处理(AHP)的一对比较矩阵(PCM)和加权多轨道分析。同时,使用现场样本,遥感(RS),地统计数据和地理信息系统(GIS)进行陆地覆盖映射。结果表明,对于马铃薯作物养殖,最重要的标准是气候学(30.14%),表人症(29.16%),地形(25.72%)和自然界的社会经济(14.98%)。最终输出图表明,8.2%(22.91平方公里)非常适合,68.5%(190.37平方公里)适合,21.6%(60.11km2)略微合适,0.0%不适合马铃薯养殖。从本研究中丢弃了内置区域(考古遗址,城市,城市和公路网络)和水体(4.64 km2)。本研究打算通过农业土地规划促进和指导可持续农业。

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