用多因子法对阿贾拉亚热带湿润带和森林生态系统中的菲Joa(Feijoa Sellowiana)进行排序

Zurab Seperteladze, Eter Davitaia, M. Alpenidze, G. Gaprindashvili, R. Maisuradze, G. Memarne, N. Khalvashi, N. Kedelidze, Tamar Aleksidze, Nino E. Rukhadze, T. Khardziani
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引用次数: 1

摘要

阐述了格鲁吉亚西部一个地区——阿贾拉亚热带湿润带的非乔亚栽培和森林生态系统的农业生态系统排序方法。在对肥荷阿养殖(Feigoa selliowiana)的矿物学和形态计量学分析(生物特征参数、生长开始和结束、果实成熟和大量成熟的开始、抗冻性等)的基础上,采用多因素方法评价了养殖的合理配置和土地开发的最佳环境。重点分析了地貌(地形、倾斜、暴露)和农业气候(活动温度、热液系数、温度条件、土壤物理化学特征的总和)因素。通过实施分区,揭示了一个具有农业资源潜力和炒作水平的景观带,最适合菲荷文化的发展。在研究过程中,我们还揭示了相应的农业生态系统区,与飞荷亚区相适应,林地质量评价,生态系统及其指示特征的确定。为了确定飞鹤属植物的兼容性和森林生态系统的分布,我们创建了一个大型生态系统地图和地理信息系统。通过Cartometric和地理信息分析,可以找到有关森林生态系统类型、所占面积及其在研究区所占份额的信息。
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Ranking of Feijoa (FEIJOA Sellowiana) in Subtropical Humidified Zone of Adjara and Forest Ecosystem by Multiple-Factor Approach
It was elaborated a method of agro-ecosystem ranking for feijoa culture and forest ecosystem in one of regions of Western Georgia—Adjara subtropical humidified zone. On the basis of mineralogical and morphometric analysis (biometric parameters, beginning and end of growth, beginning of fruit ripening and mass ripening, frost resistance etc.) of feijoa culture (Feigoa selliowiana) and by multiple-factor approach we have evaluated culture’s rational disposition and optimal environment for development of land. The main accent was made on geomorphological (relief, inclination, exposition) and agro-climatic (sum of active temperatures, hydrothermal coefficient, temperature conditions, physical and chemical features of soil) factors. As a result of implemented zoning a landscape zone with agricultural resources potential and hypsometrical levels optimal for development of feijoa culture was revealed. During the research we also revealed corresponding agro-eco- system zone, compatible with feijoa zone, evaluation of quality of forest land and determination of ecosystem and its indicating character. For determination of compatibility of feijoa plants and distribution of forest ecosystem we have created a map of large-scale ecosystems and geo-information system. By Cartometric and geographic-informational analysis, it became possible to find information about types of forest ecosystems, areas occupied by them and their share in researched zone.
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