首页> 外文期刊>Geoderma: An International Journal of Soil Science >Local soil classification and comparison of indigenous and technical soil maps in a Mesoamerican community using spatial analysis
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Local soil classification and comparison of indigenous and technical soil maps in a Mesoamerican community using spatial analysis

机译:使用空间分析对中美洲社区的本地土壤分类和土著和技术土壤图进行比较

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The soil classification system developed by a Purhepecha community in central Mexico was formalized, incorporating symbolic, cognitive and practical components. The soil is recognized by farmers as a three-dimensional living body, composed of earth material, air and fluids, organic matter, and living organisms including plants and animals, and organized in layers. The indigenous soil taxonomy is hierarchical, with four categorical levels, and soil classification is flexible enough to adapt to a changing social and environmental context. The local soil map units were compared to those provided by a technical soil classification of general scope (USDA soil taxonomy), using spatial analysis within a GIS environment to determine levels of cartographic correlation. The average spatial correlation at high taxonomic level, computed taking into account only the dominant soils in each map unit, is 74% for the technical-local comparison and 75% for local-technical comparison. At low taxonomic level, the average spatial correlation based on dominant soils only is 62% for the technical-local comparison and 61% for the local-technical comparison. The variable levels of spatial correlation between technical and local soil map units reflect differences in the ways both systems classify soils. However, similarities and discrepancies between making technical and local soil maps reveal complementarities. Critical is the evaluation of topsoil characteristics, as the understanding and monitoring of topsoil dynamicsare fundamental for land use decision-making by farmers. Spatial correlation analysis of topsoil properties provides a good basis for collaboration between farmers and soil surveyors. Merging technical and local thinking is indispensable to formulate sustainable land management schemes.
机译:由墨西哥中部的Purhepecha社区开发的土壤分类系统已正式确定,并纳入了符号,认知和实用成分。农民认为土壤是三维生物,由土壤,空​​气和流体,有机物以及包括植物和动物在内的生物组成,并有层次地组织。土著土壤分类法是分层的,具有四个分类级别,土壤分类的灵活性足以适应不断变化的社会和环境。使用GIS环境中的空间分析来确定制图相关性水平,将本地土壤图单元与一般范围的技术土壤分类(USDA土壤分类法)提供的单位进行比较。仅考虑每个地图单元中的优势土壤而计算出的高分类学水平的平均空间相关性,技术-本地比较为74%,本地-技术比较为75%。在低分类学水平上,基于技术优势区域的比较,基于优势土壤的平均空间相关性仅为62%,而对于技术优势区域的比较则为61%。技术和本地土壤图单元之间空间相关性的可变水平反映了两种系统对土壤进行分类的方式的差异。但是,制作技术图和当地土壤图之间的相似性和差异性显示出互补性。对表土特性的评估至关重要,因为对表土动力学的理解和监测对于农民进行土地使用决策至关重要。表土特性的空间相关性分析为农民和土壤测量师之间的合作提供了良好的基础。融合技术和本地思想对于制定可持续的土地管理计划必不可少。

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