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基于 GIS 的层次分析法桃种植土地评价模型:土耳其西北部案例研究。

A GIS-based land evaluation model for peach cultivation by using AHP: a case study in NW Turkey.

机构信息

Lapseki Vocational School, Çanakkale Onsekiz Mart University, 17800, Çanakkale, Turkey.

Faculty of Agriculture, Department of Horticulture, Çanakkale Onsekiz Mart University, 17020, Çanakkale, Turkey.

出版信息

Environ Monit Assess. 2022 Mar 3;194(4):241. doi: 10.1007/s10661-022-09898-6.

DOI:10.1007/s10661-022-09898-6
PMID:35243554
Abstract

Crop-based land suitability studies constitute an important component of precision and sustainable agricultural practices. In this study, a model was created to determine suitable lands for peach farming with the use of the analytic hierarchy process (AHP). The land suitability model was carried out in Derekolu region of Bayramiç town of Çanakkale province. Within the scope of the study, a total of 12 parameters, namely soil depth, soil texture, EC, pH, organic matter content, CaCO content, nitrogen, phosphorus, potassium, elevation, aspect, and slope, were used. Present assessments revealed that of the assessed lands, 367.50 ha was highly suitable, 7085.25 ha moderately suitable, 6341.25 ha marginally suitable, and 378.50 ha not suitable for peach cultivation. Texture, slope, and CaCO content were respectively identified as the most effective factors in peach cultivation. The combined use of AHP and GIS techniques in the identification of suitable lands for peach farming facilitated assessments and provided significant advantages in terms of time and economic aspects. Further research is recommended to test the validity of the present model for different geographies under different climate and soil conditions.

摘要

基于作物的土地适宜性研究是精准和可持续农业实践的重要组成部分。本研究利用层次分析法(AHP)建立了一个用于确定桃树种植适宜土地的模型。该土地适宜性模型在恰纳卡莱省贝拉姆利克镇德里科卢地区进行。在研究范围内,共使用了 12 个参数,即土壤深度、土壤质地、EC、pH 值、有机质含量、CaCO3 含量、氮、磷、钾、海拔、方位和坡度。目前的评估结果显示,在所评估的土地中,367.50 公顷高度适宜,7085.25 公顷中度适宜,6341.25 公顷勉强适宜,378.50 公顷不适宜种植桃树。质地、坡度和 CaCO3 含量分别被确定为桃树种植最有效的因素。在确定桃树种植适宜土地方面,AHP 和 GIS 技术的结合使用有助于评估,并在时间和经济方面提供了显著的优势。建议进一步研究,以测试本模型在不同地理条件和不同气候、土壤条件下的有效性。

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