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基于3種不同土壤粒徑分級(jí)制度的毛烏素沙地樟子松林地土壤體積分形維數(shù)差異研究

發(fā)布時(shí)間:2018-05-08 16:45

  本文選題:粒徑分級(jí) + 沙地樟子松。 參考:《西北林學(xué)院學(xué)報(bào)》2017年03期


【摘要】:基于中國(guó)制、美國(guó)制和國(guó)際制3種不同土壤粒級(jí)分級(jí)方法對(duì)沙地樟子松林地土壤體積分形維數(shù)進(jìn)行計(jì)算,以揭示不同粒徑分級(jí)制度對(duì)樟子松林下土壤體積分形維數(shù)測(cè)定的影響,并探討各粒徑分級(jí)制度內(nèi)在的聯(lián)系。粒徑組成及土壤體積分形維數(shù)分析、計(jì)算采用激光衍射技術(shù)方法進(jìn)行測(cè)定。結(jié)果表明,1)樟子松林地土壤顆粒組成以砂粒為主,占總體積的75%左右、粉粒其次,占總體積的15%左右、粘粒含量相對(duì)較少,占總體積的3%左右;2)土壤體積分形維數(shù)排序?yàn)橹袊?guó)制(D_(CHN))國(guó)際制(D_(INT))美國(guó)制(D_(US));3)D_(CHN)、D_(INT)和D_(US)與土壤粘粒和砂粒含量呈顯著相關(guān)(P0.05),但是與土壤粉粒含量相關(guān)性較差(P0.05);4)D_(CHN)、D_(INT)和D_(US)之間呈極顯著正相關(guān)關(guān)系P0.01),且線性回歸方程可實(shí)現(xiàn)三者之間的轉(zhuǎn)化。綜合分析3種土壤粒級(jí)分級(jí)方法均能有效反映土壤顆粒分布信息,且相較于D_(CHN)和D_(INT),D_(US)與土壤顆粒含量的相關(guān)性較好,粒徑范圍較寬闊,D值差異較大,實(shí)用性較好,是計(jì)算樟子松林地土壤體積分形維數(shù)的較優(yōu)選擇。
[Abstract]:The fractal dimension of soil volume of Pinus sylvestris var. mongolica forest in sandy land was calculated by three different grain-grading methods, made in China, USA and international, in order to reveal the influence of different particle size classification systems on the measurement of fractal dimension of soil volume under Pinus sylvestris var. mongolica forest. The internal relation of each particle size classification system is also discussed. The particle size composition and the fractal dimension of soil volume were analyzed. The results showed that the soil particle composition of Pinus sylvestris var. mongolica forest was mainly composed of sand, which accounted for about 75% of the total volume, followed by silt, about 15% of the total volume, and the clay content was relatively less. (about 3% of the total volume) the order of fractal dimension of soil volume is made in China (DX / CHN / N) International DINT (D / T / T) DUST / D / D / T / T / D / T / D / T / D / T / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / D / S / S / The linear regression equation can realize the transformation of the three. The comprehensive analysis of three soil grain-gradation methods can effectively reflect the information of soil particle distribution, and the correlation between soil particle content and soil particle content is better than that of DSP CHN and DSP / DUSS, and the difference of D value in particle size range is wider and the practicability is better. It is the best choice to calculate the fractal dimension of soil volume in Pinus sylvestris forest land.
【作者單位】: 沈陽農(nóng)業(yè)大學(xué)林學(xué)院;遼寧遼河平原森林生態(tài)系統(tǒng)定位研究站;北京林業(yè)大學(xué)水土保持學(xué)院;東京農(nóng)業(yè)大學(xué)研究生院;
【基金】:國(guó)家林業(yè)行業(yè)科研專項(xiàng)(201404303-05) 國(guó)家自然科學(xué)基金(41450007) 林業(yè)公益性行業(yè)科研專項(xiàng)(201304216)
【分類號(hào)】:S714;S791.253

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