岩溶区不同微地形芒果园土壤肥力综合评价  

Comprehensive evaluation of soil fertility in mango orchards with different microtopographies in karst areas

作　　者：黄超 梁建宏[2,3] 杨慧 李鸿[1] 李雪艳 陶悦 张连凯 HUANG Chao;LIANG Jian-hong;YANG Hui;LI Hong;LI Xue-yan;TAO Yue;ZHANG Lian-kai(Kunming General Survey of Natural Resources Center,China Geological Survey/Technology Innovation Center for Natural Ecosystem Carbon Sink,Ministry of Natural Resources,Kunming,Yunnan 650100,China;Institute of Karst Geology,Chinese Acedemy of Geological Sciences/Guangxi Key Laboratory of Karst Dynamics,Ministry of Natural Resources/International Center for Karst Research,United Nations Educational,Scientific and Cultural Organization,Guilin,Guangxi 541004,China;Pingguo Guangxi,Karst Ecosystem,National Observation and Research Station,Baise,Guangxi 531406,China;Institute of International Rivers and Ecosecurity,Yunnan University,Kunming,Yunnan 650504,China)

机构地区：[1]中国地质调查局昆明自然资源综合调查中心/自然资源部自然生态系统碳汇工程技术创新中心,云南昆明650100 [2]中国地质科学院岩溶地质研究所/自然资源部、广西岩溶动力学重点实验室/联合国教科文组织国际岩溶研究中心,广西桂林541004 [3]广西平果喀斯特生态系统国家野外科学观测研究站,广西百色531406 [4]云南大学国际河流与生态安全研究院,云南昆明650504

出　　处：《南方农业学报》2024年第8期2407-2418,共12页Journal of Southern Agriculture

基　　金：国家自然科学基金项目(42271094);广西重点研发计划项目(桂科AB22035004);广西科技基地和人才专项(桂科AD20297090);中国地质调查项目(ZD20220135)。

摘　　要：【目的】采用不同评价方法对不同微地形芒果园的土壤肥力特征进行评价,为岩溶区芒果园土壤肥力的精准评价提供参考。【方法】在广西百色市田阳区典型岩溶区芒果园设置洼地、过渡带、坡地、垭口4种微地形样地,筛选出10项土壤化学指标作为评价指标,应用主成分分析法、模糊数学法、改进的内梅罗指数法、基于粗糙集理论的土壤肥力评价法对不同微地形进行土壤肥力评价,分析不同肥力评价方法评价结果间的差异,对肥力评价指数与产量进行线性拟合,通过冗余分析探索微地形及环境因子对土壤综合肥力的影响。【结果】不同微地形主成分土壤肥力指数表现为坡地(0.87,肥力极高)>垭口(0.59,肥力中等)>过渡带(0.48,肥力中等)>洼地(0.39,肥力低);模糊数学土壤肥力指数表明不同微地形土壤肥力均在高水平以上(0.68~0.82);内梅罗土壤肥力指数表明不同微地形土壤肥力均在中等水平以下(0.26~0.46);粗糙集理论土壤肥力指数表现为坡地(0.67,肥力高)>垭口(0.50,肥力中等)>过渡带(0.37,肥力低)>洼地(0.35,肥力低),该评价结果相对准确且与产量线性拟合度最高。冗余分析结果表明,地形因子对土壤肥力的解释量为34.15%,环境因子解释量为23.30%。【结论】综合不同评价方法的评价结果,不同微地形芒果园的土壤肥力基本表现为坡地>垭口>过渡带>洼地;基于粗糙集理论将3种常规肥力评价方法进行综合评价的结果相对准确,对不同微地形肥力等级区分效果较好。不同微地形土壤肥力差异受地形因子及环境因子共同影响,其中地形因子影响较大。【Objective】To evaluate the soil fertility characteristics of mango orchards in different microtopographies using different evaluation methods,and to provide scientific reference for the precise evaluation of soil fertility in mango orchards in karst areas.【Method】Setting up 4 kinds of microtopographic sample plots in mango orchards in typical karst areas of Tianyang District,Baise City of Guangxi,10 soil chemical indexes were screened as evaluation indexes,and principal component analysis,fuzzy mathematics,improved Nemero index and soil fertility comprehensive evaluation methods based on rough set theory were applied to evaluate soil fertility in different microtopographies,and to analyze the differences between the evaluation results of different fertility evaluation methods.Linear fitting was conducted fertility evaluation index and yield,and the effects of microtopography and environmental factors on comprehensive soil fertility were explored through redundancy analysis.【Result】The soil fertility indexes of the main components of different microtopographies were presented as slope(0.87,very high fertility)>pass(0.59,medium fertility)>transition zone(0.48,medium fertility)>depression(0.39,low fertility);the fuzzy mathematics soil fertility index showed that the soil fertility of different microtopographies were all at a high level or above(0.68-0.82);the Nemero soil fertility index showed that the soil fertility of different microtopographies were all at a medium level or above(0.26-0.46);the rough set theory soil fertility evaluation index was presented as slope(0.67,high fertility)>pass(0.50,medium fertility)>transition zone(0.37,low fertility)>depression(0.35,low fertility),which was relatively accurate and had the highest degree of linear fitting with yield.The results of redundancy analysis showed that the topographic factor explained 34.15%of soil fertility and the environmental factor explained 23.30%.【Conclusion】Based on the evaluation results of different evaluation methods,the soil fer

关 键 词：芒果园 岩溶区 微地形 土壤肥力评价 粗糙集理论 

分 类 号：S153.6[农业科学—土壤学]