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哀牢山亚热带常绿阔叶林表层矿质土壤的空间异质性格局
引用本文:乔璐,谭少清,刘玉洪,刘长铭.哀牢山亚热带常绿阔叶林表层矿质土壤的空间异质性格局[J].中国农学通报,2013,29(22):67-72.
作者姓名:乔璐  谭少清  刘玉洪  刘长铭
作者单位:1. 中国科学院西双版纳热带植物园热带森林生态学重点实验室,昆明650223; 中国科学院大学,北京100049
2. 西双版纳国际旅游度假区开发有限公司,云南景洪,660100
3. 中国科学院哀牢山亚热带森林生态系统研究站,云南景东,676209
4. 云南哀牢山国家级自然保护区景东管理局,云南景东,676200
摘    要:为了揭示亚热带常绿阔叶林表层矿质土壤碳及常量养分的空间异质性格局,以常用的网格法,调查了哀牢山的亚热带常绿阔叶林。结果发现,土壤全磷、可交换性钙、可交换性镁的半方差函数模型为指数模型,且变程接近300 m,具中等程度的空间结构变异;土壤全碳、全氮、可交换性钾的的半方差函数模型为线性模型,在现有取样尺度上表现为随机变异。可交换性土壤离子的变异系数大于土壤碳、氮、磷。在现有取样尺度上,哀牢山亚热带常绿阔叶林的部分土壤养分空间异质性表现出结构变异。

关 键 词:常绿阔叶林  土壤养分  土壤碳  空间异质性  地统计学
收稿时间:4/2/2013 12:00:00 AM
修稿时间:2013/4/16 0:00:00

Spatial Variability Pattern of Surface Mineral Soil in Subtropical Evergreen Broad-leaved Forest in Ailao Mountains
Qiao Lu , Tan Shaoqing , Liu Yuhong , Liu Changming.Spatial Variability Pattern of Surface Mineral Soil in Subtropical Evergreen Broad-leaved Forest in Ailao Mountains[J].Chinese Agricultural Science Bulletin,2013,29(22):67-72.
Authors:Qiao Lu  Tan Shaoqing  Liu Yuhong  Liu Changming
Abstract:In order to reveal spatial heterogeneity pattern of surface mineral soil carbon and macro-nutrients in subtropical evergreen forests, the author investigated carbon and nutrients variability of surface mineral soil (0-10 cm) in subtropical evergreen broad-leaved forest in Ailao Mountains, and employed grid-sampling method to collect soil samples and found that spatial variability of soil total phosphorus, exchangeable calcium, exchangeable magnesium revealed constructive variation and the effective range of these three variables approach 300 m. The models of semi-variogram of soil total carbon, total nitrogen and exchangeable potassium were linear models, which meant that spatial variation of these three variables was non-constructive stochastic variation. It was concluded that: part of soil nutrients in the subtropical evergreen broad-leaved forest exhibited spatially constructive variation on the present sampling scale.
Keywords:evergreen broad-leaved forest  soil nutrients  soil carbon  soil spatial heterogeneity  geostatistics
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