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作 者:尹辉[1] 李晖[2,3] 蒋忠诚[3] 杨奇勇[3]
机构地区:[1]惠州学院旅游系,广东惠州516007 [2]广西师范大学环境与资源学院,广西桂林541004 [3]中国地质科学院岩溶地质研究所,广西桂林541004
出 处:《水土保持研究》2014年第6期25-29,共5页Research of Soil and Water Conservation
基 金:国家科技支撑计划(2010BAE00739-02);广西自然科学资助项目(2013GXNSFBA019222);岩溶所所控项目(121237128100212);桂林市科学研究与技术开发项目(20110120-6;20120122-2;20120125-1);广西师范大学教育发展基金会教师成长基金(JS2012009;JS2012012);广西教育厅科研项目(201106LX070;201203YB028;2013YB040);惠州学院博士科研启动项目(C513.0206)
摘 要:运用地统计学与GIS技术,将室内布点和实地监测相结合,对广西典型岩溶区果化示范区土壤厚度的空间格局进行了研究。结果表明:果化示范区土壤厚度的空间分布存在正向的全局空间自相关,其空间自相关尺度为2200m。土壤厚度以“低低”型空间集聚为主要分布类型,其空间结构在1~2200m区间内为空间集聚;而在2200~2800m区间内为空间孤立。土壤厚度的半方差函数模型符合球状模型,最小空间变程为500.0m,该变程可作为区内土壤厚度样点间隔的布设依据。土壤厚度空间分布不均匀,主要呈条带状、弧状和少量斑状分布,分布梯度较为明显。本研究可为果化示范区及相似岩溶峰丛洼地的农业生产、石漠化治理和生态重建提供参考。By using geo-statistics and GIS, combining indoor sampling point distribution and field monitoring of soil thickness in typical karst area of Guohua demonstration zone in Guangxi, the spatial pattern character- istics of soil thickness were studied. The results showed that the spatial distribution of soil thickness showed obviously positive global spatial autocorrelation. The spatial autocorrelation distance of soil thickness was 2 200 m. The ‘low-low' spatial agglomeration was the main spatial distribution type, showing two types of spatial structures: the one was spatial agglomeration between 1 m to 2 200 m in spatial distances, the other was spatial isolation between 2 200 m to 2 800 m in spatial distances. Soil thickness of the semivariance func- tion models was well in accord with spherical model. The minimum spatial variable scale of soil thickness was nearly 500.0 m, which could be served as the best interval of soil thickness for sampling point distribution in Gnohua demonstration zone. The soil thickness showed uneven banded, arc-shaped and small amounts of porphyritic distribution, and the gradient distribution was obvious. This paper is of great theory and refer- ence significance to guide agricultural production, to manage desertification, and to reconstruct the ecology in typical karst peak cluster-depressions of Guohua demonstration zone and other similar karst areas.
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