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Ecological suitability evaluation for torreya crop in Hangzhou city based on a GIS-based fuzzy model

机译:基于GIS的杭州香to作物生态适宜性评价。

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Chinese torreya (T. grandis ‘Merrillii’), an evergreen coniferous tree mostly distributed in the mountainous areas of southern China, has a distinct economic potential. However, the planting distribution of torreya crop is not optimal and the torreya production and cultivation are restricted by regional environment conditions. In this study, a GIS-based fuzzy model combined with the principal of hierarchy analysis was applied to assess ecological suitability for torreya. The evaluation factor system of ecological suitability of Hangzhou torreya planting regions was established by choosing seven evaluation factors from climate, topography, and soil factors with Delphi method based on the ecological characteristics of torreya crop. Furthermore, the membership functions were set up according to the effect of each ecology factor on the growth and quality of torreya suitability. And the analytical hierarchy process (AHP) was used to determine the weight of factors. The results demonstrated that the highly, moderately, and non-suitable regions for the cultivation of torreya crop in Hangzhou were 5380.98, 6206.53, and 3735.50 km2, and accounted for 35.12, 40.50 and 24.38% of the total evaluation area, respectively. The fuzzy membership function combined with AHP could be useful in quickly and accurately evaluating the ecological suitability of torreya crop. The results of this study can be used for further research on the possibilities for a large-scale commercialization of the crop with favourable ecological conditions and provide a scientific basis for land policy makers and land use planners.
机译:香r(T。grandis“ Merrillii”)是一种常绿的针叶树,主要分布在中国南部山区,具有独特的经济潜力。然而,of草作物的种植分布不是最佳的,and草的生产和种植受到区域环境条件的限制。在这项研究中,基于GIS的模糊模型结合层次分析的原理被用于评估香re的生态适应性。根据r谷作物的生态特性,通过德尔菲法从气候,地形和土壤因子中选出七个因子,建立了杭州r谷种植区生态适宜性评价因子体系。此外,根据每个生态因素对to树的生长和品质的影响,建立了隶属函数。然后使用层次分析法(AHP)来确定因素的权重。结果表明,杭州市高度,中等和不适宜种植香r的地区分别为5380.98、6206.53和3735.50 km2,分别占总评价面积的35.12、40.50和24.38%。模糊隶属度函数与层次分析法相结合,可用于快速,准确地评价to树作物的生态适应性。这项研究的结果可用于进一步研究具有良好生态条件的农作物大规模商业化的可能性,并为土地政策制定者和土地利用规划者提供科学依据。

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