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    山東烤煙生態(tài)適應(yīng)性綜合評(píng)價(jià)

    Comprehensive Assessment on Ecological Adaptability of Flue-cured Tobacco in Shandong Province

    • 摘要: 為了更準(zhǔn)確地確定山東烤煙的最佳種植區(qū)域,,綜合考慮氣候,、土壤養(yǎng)分和類型、地形地貌等29項(xiàng)因子,,運(yùn)用模糊數(shù)學(xué)隸屬函數(shù)和層次分析法,,以GIS平臺(tái)為基礎(chǔ),對(duì)山東煙區(qū)的生態(tài)適宜性進(jìn)行了綜合評(píng)價(jià),。結(jié)果發(fā)現(xiàn),,氣候適宜性呈現(xiàn)由南向北從高到低的趨勢(shì),大田期日照時(shí)數(shù)過高是影響山東烤煙生長(zhǎng)最重要的氣候因子,;山東煙區(qū)土壤養(yǎng)分適宜性較高,;煙區(qū)地形地貌適合烤煙的生長(zhǎng);部分沿海的土壤類型不利于烤煙的生長(zhǎng),;目前山東煙區(qū)絕大部分位于生態(tài)最適宜或適宜區(qū),。此結(jié)果對(duì)指導(dǎo)烤煙生產(chǎn)和合理種植規(guī)劃具有較大的意義。

       

      Abstract: A series of assessments on ecological adaptability of flue-cured tobacco were conducted in order to properly identify the best planting regions of flue-cured tobacco in Shandong province, China. The assessment used 29 factors as adaptability indices, including air temperature, ≥10 ℃ accumulated airtemperature, sunshine hours, and humidity during field growth; annual precipitation during root extending, vigorous growth, and maturing periods; andtemperature difference between day and night; soil pH, OM, soil soluble Cl, total N, P, K, available N, P, K, Ca, Mg, S, Fe, Mn, Zn, Cu, Mo; terrain,altitude, degree of slope, and soil type. The fuzzy logic, analytic hierarchy process, and arcGis were employed to classify and evaluate these indices. Theresults showed that, in Shandong, climatic suitability for flue-cured declined from the South to North, Too many sunshine hours during field growth period was the primarily climatic factor influencing the growth of flue-cured in Shandong. Soil nutrients were sufficient for the tobacco growth in Shandong. The terrain in Shandong was very suitable to the growth of flue-cured tobacco. Some of the soils along the seashore in Shandong was unfavorable to the growth of the flue-cured tobacco. Most of the current tobacco plantings were located in the most suitable or suitable regions in Shandong. The study is significant forproper planning and producing better flue-cured tobacco leaves at the lowest cost. The methods used in this study provided the greatest accuracies inassessing complicated influence factors on crops and can be effectively applied to other crops and regions.

       

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