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鄂西南亚热带常绿落叶阔叶混交林土壤空间异质性
引用本文:冯广,姚兰,艾训儒,黄继红,路兴慧,丁易,臧润国.鄂西南亚热带常绿落叶阔叶混交林土壤空间异质性[J].生态学报,2016,36(23):7635-7643.
作者姓名:冯广  姚兰  艾训儒  黄继红  路兴慧  丁易  臧润国
作者单位:湖北民族学院林学园艺学院, 恩施 445000,湖北民族学院林学园艺学院, 恩施 445000;北京林业大学自然保护区学院, 北京 100083,湖北民族学院林学园艺学院, 恩施 445000,中国林业科学院研究院森林生态环境与保护所, 国家林业局森林生态环境重点实验室, 北京 100091;南京林业大学南方现代林业协同创新中心, 南京 210037,中国林业科学院研究院森林生态环境与保护所, 国家林业局森林生态环境重点实验室, 北京 100091;南京林业大学南方现代林业协同创新中心, 南京 210037,中国林业科学院研究院森林生态环境与保护所, 国家林业局森林生态环境重点实验室, 北京 100091;南京林业大学南方现代林业协同创新中心, 南京 210037,中国林业科学院研究院森林生态环境与保护所, 国家林业局森林生态环境重点实验室, 北京 100091;南京林业大学南方现代林业协同创新中心, 南京 210037
基金项目:湖北省林学重点(特色)学科及楚天学者计划资助项目(2013XKJS_10517);湖北省教育厅重点资助项目(D20122901);湖北民族学院研究生学位论文培优基金资助项目(PY201507)
摘    要:大样地是监测森林生物多样性及生态因子动态变化的重要平台,以湖北木林子国家级自然保护区常绿落叶阔叶混交林为对象,依托15 hm2动态监测样地,对每个400 m2样方进行取样并测定7个化学性质指标,运用地统计与多元统计方法,分析了该大样地内不同土壤因子的富集程度、空间格局、变异性、相关性。结果如下:1)研究区土壤酸性较强,有机质、有效氮、全氮、有效钾丰富,有效磷、全磷亏缺;2)有效氮、全氮、有效磷呈东高西低,p H呈西高东低,有效钾呈斑块状分布,有机质呈中间高,西北与东南低的"凸"型分布,其中以有效钾空间结构最复杂(A=50 m,D=1.96),p H空间结构最简单(A=180 m,D=1.83);3)土壤因子的块基比范围为0.14—0.69,14对因子显著相关(P0.05),其中以全磷的空间自相关最强,并与其余因子显著相关;4)土壤因子的变异系数范围为0.05—0.34,其中全磷、有效磷变异系数最高,分别为0.29和0.34,p H变异系数最低(0.05),土壤全磷在主成分中具有最大载荷(2.27)。结果表明:1)木林子常绿落叶阔叶混交林土壤酸性较强,除了磷素亏缺,其余土壤养分富集;2)土壤的变异性不强,空间分布具有明显的自相关特征,并具有一定的尺度效应;3)除了土壤有效磷以外的土壤因子之间存在较为普遍的相互联系;4)土壤全磷对于土壤的综合变异最具代表性。

关 键 词:常绿落叶阔叶混交林  大型森林动态监测样地  土壤空间异质性  半方差分析  Moran''s  I系数
收稿时间:2015/12/8 0:00:00
修稿时间:2016/6/6 0:00:00

Analysis of soil spatial variability in a subtropical evergreen and deciduous broad-leaved mixed forest in southwest Hubei Province
FENG Guang,YAO Lan,AI Xunru,HUANG Jihong,LU Xinghui,DING Yi and ZANG Runguo.Analysis of soil spatial variability in a subtropical evergreen and deciduous broad-leaved mixed forest in southwest Hubei Province[J].Acta Ecologica Sinica,2016,36(23):7635-7643.
Authors:FENG Guang  YAO Lan  AI Xunru  HUANG Jihong  LU Xinghui  DING Yi and ZANG Runguo
Institution:School of Forestry and Horticulture, Hubei University for Nationalities, Enshi 445000, China,School of Forestry and Horticulture, Hubei University for Nationalities, Enshi 445000, China;School of Natural Conservation, Beijing Forestry University, Beijing 100083, China,School of Forestry and Horticulture, Hubei University for Nationalities, Enshi 445000, China,Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Key Laboratory of Forest Ecology and Environment of the State Forestry Administration, Beijing 100091, China;Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China,Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Key Laboratory of Forest Ecology and Environment of the State Forestry Administration, Beijing 100091, China;Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China,Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Key Laboratory of Forest Ecology and Environment of the State Forestry Administration, Beijing 100091, China;Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China and Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Key Laboratory of Forest Ecology and Environment of the State Forestry Administration, Beijing 100091, China;Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
Abstract:A large forest dynamics plot (FDP) is an important platform for monitoring dynamics of forest biodiversity and ecological factors. Research on soil spatial variability in large FDPs has aided in the elucidation of mechanisms of biodiversity maintenance in forests. In this study, we detected soil spatial variability in subtropical evergreen and deciduous broad-leaved mixed forests in a 15-hm2 FDP in Mulinzi National Natural Reserve, Hubei Province. Based on measurements of seven soil chemical properties, including AN, AP, AK, TN, TP, OM, and pH from each 400-m2 subplot, we analyzed the spatial pattern, structure, variability, and correlation of soil factors by using geostatistics and multiple statistics. Our results indicated that 1) The soil was low in pH and abundant in OM, TN, AN, and AK. However, AP and TP were insufficient. 2) Distribution patterns for soil factors fit semi-variogram analysis models with high R2 values. Soil AN, TN, AP, and TP were generally higher in the eastern portion of the plot, whereas pH was higher in the western portion. OM was insufficient in northwestern and southeastern portions. The distribution pattern of AK was fragmented and patchy. Soil pH presented a simple spatial pattern with the longest semi-variogram range (180 m) and the lowest fractal dimension (1.83). In contrast, AK presented a complex spatial pattern with the shortest range (50 m) and the highest fractal dimension (1.96). 3) Significant correlations were found between 14 pairs of factors. TP was significantly correlated with all the others. Spatial autocorrelations were found in all factors. TP, with the lowest nugget-sill ratio (0.14), had strong spatial autocorrelation, which was primarily affected by structure factors. The other factors, with a ratio range from 0.32 to 0.69, exhibited moderate spatial autocorrelations, which were primarily affected by the joint effect of structure and stochastic factors. 4) The coefficient of variation (CV) ranged from 0.05 to 0.34. pH had the lowest CV (0.05), whereas AP and TP exhibited moderate variability and had the highest CV (0.34 and 0.29, respectively). We concluded that:1) The soil was acidic and rich in nutrients, except for the lack of P; 2) The soil exhibited a significant distribution of autocorrelations and weak variation; 3) Overall, soil factors are correlated with each other, except for AP; and 4) TP was the most representative factor for overall soil variation.
Keywords:deciduous and evergreen broad-leaved mixed forest  forest dynamics plot  soil variability  semi-variogram analysis  moran''s I
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