岷江上游杂谷脑河流域典型耕作区土壤颗粒分维特征
|
摘要
【目的】对土壤颗粒分维特征定量化研究,为改良耕作区土壤结构和提高农业生产潜力提供基础数据支撑。【方法】选取岷江上游杂谷脑河流域3个典型耕作区,运用分形模型,研究该区域典型农耕区土壤颗粒分形维数特征。【结果】研究表明:土壤颗粒分形维数在2. 6279～2. 8705,不同土壤质地分形维数存在显著差异:粉壤土>壤土>砂壤土,表明土壤颗粒分形维数可以表征土壤质地差异;不同土地利用方式下分形维数的分布特征:退耕还林>经果林>原始林,土壤分形维数随土地利用类型的不同而发生规律性的变化;同一流域下不同土地利用类型的土壤颗粒分形维数与土壤深度成正比,不同深度土壤之间变化幅度较小且随深度增加逐渐稳定;土壤颗粒分形维数与黏粒(R2=0. 8125)和粉粒(R2=0. 7556)呈正相关,与砂粒(R2=0. 8932)呈负相关,表明土壤颗粒分形维数可表征土壤颗粒组成。【结论】土壤颗粒分形维数指标是表征土壤质地物理结构状况的重要参数。
【Objective】The quantitative research on the fractal dimension of soil particles can provide basic data support for improving soil structure and agricultural production potential.【Method】Three typical farming areas in Zagunao river basin of the upper reaches of Min river were selected,and the fractal model was used to study the fractal dimension of soil particles in this typical farming area.【Result】The research showed that the fractal dimension of soil particles was between 2. 6279-2. 8705,the significant difference was existing among different soil textures as follows: powder loam > loam > sand loam,it demonstrated that the fractal dimension of soil particles could characterize the difference of soil textures. The fractal dimension with different land-use types showed that the returning farmland to forest > fruit-bearing forest > forest,the soil fractal dimension was regularly changing with different land-use types. Moreover,soil particle fractal dimension of different land-use types in the same river basin was directly proportional to the depth of soil,the variation range was relatively small between the soil in different depths,and also gradually stable with the increase of depth. In addition,the fractal dimension of soil particles was positively correlated with the clay content( R2= 0. 8125) and the silt content( R2= 0. 7556),which was negatively correlated with the sand grains( R2= 0. 8932),which indicated that the fractal dimension of soil particles could represent the composition of soil particles.【Conclusion】The fractal dimension of soil particles is an significant parameter to characterize the physical structure of soil texture.
【Objective】The quantitative research on the fractal dimension of soil particles can provide basic data support for improving soil structure and agricultural production potential.【Method】Three typical farming areas in Zagunao river basin of the upper reaches of Min river were selected,and the fractal model was used to study the fractal dimension of soil particles in this typical farming area.【Result】The research showed that the fractal dimension of soil particles was between 2. 6279-2. 8705,the significant difference was existing among different soil textures as follows: powder loam > loam > sand loam,it demonstrated that the fractal dimension of soil particles could characterize the difference of soil textures. The fractal dimension with different land-use types showed that the returning farmland to forest > fruit-bearing forest > forest,the soil fractal dimension was regularly changing with different land-use types. Moreover,soil particle fractal dimension of different land-use types in the same river basin was directly proportional to the depth of soil,the variation range was relatively small between the soil in different depths,and also gradually stable with the increase of depth. In addition,the fractal dimension of soil particles was positively correlated with the clay content( R2= 0. 8125) and the silt content( R2= 0. 7556),which was negatively correlated with the sand grains( R2= 0. 8932),which indicated that the fractal dimension of soil particles could represent the composition of soil particles.【Conclusion】The fractal dimension of soil particles is an significant parameter to characterize the physical structure of soil texture.
引文
[1]Rieu M,Sposito G. Fractal fragmentation,Soil porosity and soil waterproperties I,Application[J]. Soil Sci Soc. Am,1991,55:1231-1238.
[2]Turcotte D L. Fractals and fragmentation[J]. Journal of GeophysicalResearch,1986,91(B2):1921-1926.
[3]Perfect E,Kay B D. Application of fractals in soil and tillage re-search:A review[J]. Soil and Tillage Research,1995,36(1/2):1-20.
[4]Tyler S W,Wheat-craft S W. Fractal scaling of soil particle-size distri-bution:Analysis and limitations[J]. Soil Sci Soc Am,1992,56(2):362-369.
[5]Tyler S W,Wheat-craft S W. Application of fractal mathematicstosoil water retention estimation[J]. Soil Sci Soc Am J,1989,53(4):987-996.
[6]杨培岭,罗远培,石元春.用粒径的重量分布表征的土壤分形特征[J].科学通报,1993,38(20):1896-1899.
[7]杨金铃.土壤颗粒粒径分布质量分形维数和体积分形维数的对比[J].土壤学报,2008,45(3):413-419.
[8]任雪,褚贵新,王国栋,等.准噶尔盆地南缘绿洲-沙漠过渡带“肥岛”形成过程中土壤颗粒的分形研究[J].中国沙漠,2009,29(2):298-304.
[9]贾晓红,李新荣,张景光,等.沙冬青灌丛地的土壤颗粒大小分形维数空间变异性分析[J].生态学报,2006(9):2827-2833.
[10]朱晓婷,王克勤,陈敏全,等.昆明松华坝水源区不同土地利用方式对土壤有机碳及活性有机碳组分的影响[J].东北林业大学学报,2016,44(2):26-30.
[11]张彩红,茹豪,武秀娟,等.庞泉沟流域土壤粒径分形维数特征[J].东北林业大学学报,2017,45(11):83-88.
[12]伏耀龙,张兴昌,王金贵.岷江上游干旱河谷土壤粒径分布分形维数特征[J].农业工程学报,2012,28(3):120-125.
[13]文星跃,黄成敏,黄凤琴,等.岷江上游河谷土壤粒径分形维数及影响因素[J].华南师范大学学报:自然科学版,2011,2(1):80-86.
[14]王青,石敏球,郭亚琳,等.岷江上游山区聚落生态位垂直分异研究[J].地理学报,2013,68(11):1559-1567.
[15]Mandelbrot B B. The fractal geometry of nature[M]. W. H. Free-man,New York,1983.
[16]李林英,齐实,王棣,等.汾河上游河岸带植被类型变化对土壤粒级组成及土壤水分的影响[J].东北林业大学学报,2009,37(6):23-24+69.
[17]刘继龙,马孝义,付强,等.陕西杨凌土壤粒径分布体积分形维数特征分析及预测[J].灌溉排水学报,2010,31(3):59-62.
[18]曾宪勤,刘和平,路炳辉,等.北京山区土壤里经分布分形维数特征[J].山地学报,2008,26(1):65-70.
[19]王国梁,周生路,赵其国.土壤颗粒的体积分形维数及其在土地利用中的应用[J].土壤学报,2005,42(4):545-550.
[20]黄冠华,詹卫华.土壤颗粒的分形特征及其应用[J].土壤学报,2002,39(4):490-497.
[21]徐祥明,覃灵华.西南地区水耕人为土分形特征及与土壤属性的关系[J].西南农业学报,2011,24(5):1838-1843.
[22]姜坤,秦海龙,卢瑛,等.广东省不同母质发育土壤颗粒分布的分形维数特征[J].水土保持学报,2016,30(6):319-324.
[2]Turcotte D L. Fractals and fragmentation[J]. Journal of GeophysicalResearch,1986,91(B2):1921-1926.
[3]Perfect E,Kay B D. Application of fractals in soil and tillage re-search:A review[J]. Soil and Tillage Research,1995,36(1/2):1-20.
[4]Tyler S W,Wheat-craft S W. Fractal scaling of soil particle-size distri-bution:Analysis and limitations[J]. Soil Sci Soc Am,1992,56(2):362-369.
[5]Tyler S W,Wheat-craft S W. Application of fractal mathematicstosoil water retention estimation[J]. Soil Sci Soc Am J,1989,53(4):987-996.
[6]杨培岭,罗远培,石元春.用粒径的重量分布表征的土壤分形特征[J].科学通报,1993,38(20):1896-1899.
[7]杨金铃.土壤颗粒粒径分布质量分形维数和体积分形维数的对比[J].土壤学报,2008,45(3):413-419.
[8]任雪,褚贵新,王国栋,等.准噶尔盆地南缘绿洲-沙漠过渡带“肥岛”形成过程中土壤颗粒的分形研究[J].中国沙漠,2009,29(2):298-304.
[9]贾晓红,李新荣,张景光,等.沙冬青灌丛地的土壤颗粒大小分形维数空间变异性分析[J].生态学报,2006(9):2827-2833.
[10]朱晓婷,王克勤,陈敏全,等.昆明松华坝水源区不同土地利用方式对土壤有机碳及活性有机碳组分的影响[J].东北林业大学学报,2016,44(2):26-30.
[11]张彩红,茹豪,武秀娟,等.庞泉沟流域土壤粒径分形维数特征[J].东北林业大学学报,2017,45(11):83-88.
[12]伏耀龙,张兴昌,王金贵.岷江上游干旱河谷土壤粒径分布分形维数特征[J].农业工程学报,2012,28(3):120-125.
[13]文星跃,黄成敏,黄凤琴,等.岷江上游河谷土壤粒径分形维数及影响因素[J].华南师范大学学报:自然科学版,2011,2(1):80-86.
[14]王青,石敏球,郭亚琳,等.岷江上游山区聚落生态位垂直分异研究[J].地理学报,2013,68(11):1559-1567.
[15]Mandelbrot B B. The fractal geometry of nature[M]. W. H. Free-man,New York,1983.
[16]李林英,齐实,王棣,等.汾河上游河岸带植被类型变化对土壤粒级组成及土壤水分的影响[J].东北林业大学学报,2009,37(6):23-24+69.
[17]刘继龙,马孝义,付强,等.陕西杨凌土壤粒径分布体积分形维数特征分析及预测[J].灌溉排水学报,2010,31(3):59-62.
[18]曾宪勤,刘和平,路炳辉,等.北京山区土壤里经分布分形维数特征[J].山地学报,2008,26(1):65-70.
[19]王国梁,周生路,赵其国.土壤颗粒的体积分形维数及其在土地利用中的应用[J].土壤学报,2005,42(4):545-550.
[20]黄冠华,詹卫华.土壤颗粒的分形特征及其应用[J].土壤学报,2002,39(4):490-497.
[21]徐祥明,覃灵华.西南地区水耕人为土分形特征及与土壤属性的关系[J].西南农业学报,2011,24(5):1838-1843.
[22]姜坤,秦海龙,卢瑛,等.广东省不同母质发育土壤颗粒分布的分形维数特征[J].水土保持学报,2016,30(6):319-324.