首页> 外文期刊>Pedosphere: A Quarterly Journal of Soil Science >Comprehensive suitability evaluation of tea crops using GIS and a modified land ecological suitability evaluation model.
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Comprehensive suitability evaluation of tea crops using GIS and a modified land ecological suitability evaluation model.

机译:利用GIS和改进的土地生态适宜性评价模型对茶叶作物进行综合适宜性评价。

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Tea (Camellia sinensis) is one of the most valuable cash crops in southern China; however, the planting distribution of tea crops is not optimal and the production and cultivation regions of tea crops are restricted by law and custom. In order to evaluate the suitability of tea crops in Zhejiang Province, the annual mean temperature, the annual accumulated temperature above 10 degrees C, the frequency of extremely low temperature below -13 degrees C, the mean humidity from April to October, slope, aspect, altitude, soil type, and soil texture were selected from climate, topography, and soil factors as factors for land ecological evaluation by the Delphi method based on the ecological characteristics of tea crops. These nine factors were quantitatively analyzed using a geographic information system (GIS). The grey relational analysis (GRA) was combined with the analytic hierarchy process (AHP) to address the uncertainties during the process of evaluating the traditional land ecological suitability, and a modified land ecological suitability evaluation (LESE) model was built. Based on the land-use map of Zhejiang Province, the regions that were completely unsuitable for tea cultivation in the province were eliminated and then the spatial distribution of the ecological suitability of tea crops was generated using the modified LESE model and GIS. The results demonstrated that the highly, moderately, and non-suitable regions for the cultivation of tea crops in Zhejiang Province were 27 552.66, 42 724.64, and 26 507.97 km2, and accounted for 28.47%, 44.14%, and 27.39% of the total evaluation area, respectively. Validation of the method showed a high degree of coincidence with the current planting distribution of tea crops in Zhejiang Province. The modified LESE model combined with GIS could be useful in quickly and accurately evaluating the land ecological suitability of tea crops, providing a scientific basis for the rational distribution of tea crops and acting as a reference to land policy makers and land use planners.Digital Object Identifier http://dx.doi.org/10.1016/S1002-0160(11)60198-7
机译:茶是中国南方最有价值的经济作物之一。然而,茶叶作物的种植分布不是最佳的,茶叶作物的生产和种植地区受到法律和习俗的限制。为了评估浙江省茶叶作物的适宜性,年平均温度,年累积温度在10摄氏度以上,极端低温的频率在-13摄氏度以下,4月至10月的平均湿度,坡度,长宽比根据茶树的生态特征,从气候,地形和土壤因素中选择海拔,土壤类型和土壤质地作为德尔菲法进行土地生态评价的因素。使用地理信息系统(GIS)对这九个因素进行了定量分析。将灰色关联分析(GRA)与层次分析法(AHP)相结合,解决了传统土地生态适宜性评价过程中的不确定性,建立了改进的土地生态适宜性评价模型(LESE)。根据浙江省土地利用图,消除了该省完全不适合茶树种植的区域,然后使用改进的LESE模型和GIS生成了茶树生态适宜性的空间分布。结果表明,浙江省高,中,非适宜茶区种植面积分别为27 552.66、42 724.64、26 507.97 km 2 ,分别占28.47%,44.14。分别占总评估面积的%和27.39%。该方法的验证表明,该方法与浙江省目前茶树的种植分布高度吻合。改进的LESE模型与GIS相结合,可用于快速,准确地评估茶作物的土地生态适宜性,为茶作物的合理分布提供科学依据,并为土地政策制定者和土地利用规划者提供参考。标识符http://dx.doi.org/10.1016/S1002-0160(11)60198-7

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