首页> 外文期刊>International Journal of Plant & Soil Science >GIS-based Analysis of Indigenous and Technical Knowledge of Soil Suitability Evaluation of Cocoa, Citrus and Oil Palm in Ejisu-Juabeng District, Ashanti Region, Ghana
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GIS-based Analysis of Indigenous and Technical Knowledge of Soil Suitability Evaluation of Cocoa, Citrus and Oil Palm in Ejisu-Juabeng District, Ashanti Region, Ghana

机译:基于GIS的加纳阿散蒂地区Ejisu-Juabeng区可可,柑橘和油棕的土壤适应性评估土著和技术知识分析

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A study was carried out to assess local knowledge about soil suitability in four villages in the Ejisu- Juabeng District in the Ashanti region of Ghana. This study described two approaches in soil mapping using geopedologic approach promoted by Zinck (1988) and the farmer approach using their spatial knowledge and experience. Both maps were assessed for their suitability for cocoa, oil palm and citrus. First, farmers created their soil map and then assessed the soil suitability for a selected number of tree crops which are important for them economically. Secondly, on the other side which is the side of the expert, the approach for soil suitability classification was performed using the Automated Land Evaluation System (ALES) which uses the Food and Agriculture?Organization (FAO) framework for land evaluation that defines suitability by employing matching (comparison) between land quality/land characteristics and land use requirement. The expert and farmer suitability maps were then compared using spatial analysis within the Geographic Information Systems (GIS) environment to determine levels of spatial correlation and the level of agreement among the maps. Farmers’ suitability maps for cocoa accounted for 81% of the study area, citrus and oil palm accounted for 71% and 26% respectively. In the expert suitability map 66% of the study area was suitable for cocoa, citrus and oil palm accounted for 41%and 39% respectively. The overall accuracy from the map comparison was 67% for cocoa, 43% for citrus and 14% for oil palm. The results of spatial correlation between expert and local soil suitability map units reflect differences and similarities in the ways both systems classify soils. Critical is the evaluation of topsoil characteristics, as the understanding and monitoring of topsoil dynamics are fundamental for land use decision-making by farmers. Merging technical and local thinking is indispensable to formulate sustainable land management schemes for agricultural production.
机译:进行了一项研究,以评估加纳阿散蒂地区Ejisu-Juabeng区四个村庄的土壤适宜性当地知识。这项研究描述了两种使用Zinck(1988)提倡的地理学方法进行土壤制图的方法以及采用他们的空间知识和经验的农民方法。评估了这两个地图对可可,油棕和柑橘的适合性。首先,农民创建了他们的土壤图,然后评估了对一定数量的树木作物的土壤适宜性,这对他们的经济很重要。其次,在专家方面,土壤适宜性分类的方法是使用自动土地评估系统(ALES)进行的,该系统使用粮食及农业组织(FAO)框架进行土地评估,通过在土地质量/土地特征与土地利用要求之间进行匹配(比较)。然后使用地理信息系统(GIS)环境中的空间分析比较专家和农民的适应性地图,以确定空间相关性水平和地图之间的一致性水平。农民对可可适用性的图谱占研究面积的81%,柑桔和油棕分别占71%和26%。在专家适用性地图中,研究区域的66%适合可可,柑橘和油棕分别占41%和39%。地图比较的总体准确性为可可粉为67%,柑橘为43%,油棕为14%。专家和当地土壤适宜性图单元之间的空间相关性结果反映了两种系统对土壤进行分类的方式的异同。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。结合技术和本地思想对于制定农业生产的可持续土地管理计划是必不可少的。

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