CAJ | 학술논문

为给烟区土壤理化性状评价提供新的方法，采用GPS定位技术，在云南省陆良烟区采集土壤样品341个，运用土壤颗粒质量分形模型计算了烟区耕层土壤颗粒质量分形维数D值，并分析了分形维数的总体特征、分布规律及其与土壤质地、颗粒分布和土壤养分的关系。结果表明，土壤颗粒质量分形维数D值在2.524～2.928之间，平均为2.823，依次为轻粘土>重壤土>中壤土>轻壤土，土壤质地越粘重，分形维数越大；土壤颗粒质量分形维数与土壤粘粒含量（质量分数）呈极显著正相关关系，与粉粒及砂粒含量呈极显著负相关关系，粘粒含量每增加10%，分形维数D值增加0.05个单位，粉粒含量或砂粒每增加10%，分形维数D值分别下降0.09和0.06个单位，土壤颗粒质量分形维数在一定程度上可直观地反映土壤颗粒构成；分形维数D值与有机质、全氮、全磷、全钾、碱解氮和速效钾含量（质量分数）极显著正相关，与有效磷含量极显著负相关，土壤颗粒质量分形维数在一定程度上可用于表征土壤的养分状况。
위급연구토양이화성상평개제공신적방법，채용GPS정위기술，재운남성륙량연구채집토양양품341개，운용토양과립질량분형모형계산료연구경층토양과립질량분형유수D치，병분석료분형유수적총체특정、분포규률급기여토양질지、과립분포화토양양분적관계。결과표명，토양과립질량분형유수D치재2.524～2.928지간，평균위2.823，의차위경점토>중양토>중양토>경양토，토양질지월점중，분형유수월대；토양과립질량분형유수여토양점립함량（질량분수）정겁현저정상관관계，여분립급사립함량정겁현저부상관관계，점립함량매증가10%，분형유수D치증가0.05개단위，분립함량혹사립매증가10%，분형유수D치분별하강0.09화0.06개단위，토양과립질량분형유수재일정정도상가직관지반영토양과립구성；분형유수D치여유궤질、전담、전린、전갑、감해담화속효갑함량（질량분수）겁현저정상관，여유효린함량겁현저부상관，토양과립질량분형유수재일정정도상가용우표정토양적양분상황。
By GPS positioning, 341 tobacco planting soil samples were collected from Luliang County in Yunnan Province. The fractal dimensionality, D value, of soil particle mass in plow layer was calculated with the fractal model of soil particle mass, the general characteristics, distribution, and its relationships with the texture, particle distribution and nutrients of soil were analyzed. The results indicated that D values ranged from 2.524 to 2.928 with the mean value of 2.823; soil types in the order of D value were light clay > heavy loam > medium loam > light loam; D value extremely significantly positively correlated to the mass percentage of clay particle (diameter < 0.002 mm) in soil, while extremely significantly negatively correlated to the percentages of sand particle (diameter > 0.050 mm) and silt particle (diameter from 0.002 to 0.050 mm) in soil, as the percentage of clay particle increased by 10%, D values increased by 0.05 units; as the percentage of silt or sand particle increased by 10%, D value decreased by 0.09 or 0.06 units, respectively. D value of soil particle mass can directly reflect the constitution of soil particles to a certain extent. D value extremely significantly positively correlated to the contents of organic matter, total N, total K, total P, alkali-hydrolyzable N and available K, while extremely significantly negatively correlated to the content of available P in soil. The fractal dimensionality of soil particle mass can be used to characterize the nutrient status of soil.