喀斯特峰丛洼地不同植被类型土壤水分的空间异质性分析——以广西环江毛南族自治县西南峰丛洼地区为例

宋同清; 彭晚霞; 曾馥平; 刘璐; 杜虎; 鹿士杨; 殷庆仓

doi:10.3969/j.issn.1001-4810.2010.01.002

喀斯特峰丛洼地不同植被类型土壤水分的空间异质性分析——以广西环江毛南族自治县西南峰丛洼地区为例

doi: 10.3969/j.issn.1001-4810.2010.01.002

1.
中国科学院亚热带农业生态研究所、环江喀斯特农业生态系统研究观测站
2.
中国科学院亚热带农业生态研究所、环江喀斯特农业生态系统研究观测站，湖南农业大学生物科学技术学院
3.
中国科学院亚热带农业生态研究所、环江喀斯特农业生态系统研究观测站，中国科学院研究生院
4.
中国科学院亚热带农业生态研究所、环江喀斯特农业生态系统研究观测站，广西大学林学院

基金项目: 国家十一五科技支撑计划（2006BAC01A10）、中国科学院西部行动计划项目（KZCX2-XB2-08）、国家自然科学基金项目（No.30970508）、国家重点基础研究发展计划（973计划）课题（2006CB403208）

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出版历程
- 收稿日期: 2009-08-05
- 发布日期: 2010-03-25

Spatial heterogeneity of soil moisture under different vegetation types in peak-cluster depression

1.
Huanjiang Observation and Research Station for Karst Ecosystem, Institute of Subtropical Agriculture, CAS
2.
Huanjiang Observation and Research Station for Karst Ecosystem, Institute of Subtropical Agriculture, CAS，College of Bioscience and Biotechnology, Hunan Agricultural University
3.
Huanjiang Observation and Research Station for Karst Ecosystem, Institute of Subtropical Agriculture, CAS，Graduate School of the Chinese Academy of Sciences
4.
Huanjiang Observation and Research Station for Karst Ecosystem, Institute of Subtropical Agriculture, CAS，Forestry College of Guangxi University

摘要

摘要: 通过网格(5 m×5 m)取样，用地统计学方法研究了喀斯特峰丛洼地4个典型植被类型表层土壤（0～10 cm）水分的空间异质特征，探讨了其生态学过程和机制。结果表明，随着干扰强度的降低，植被产生了由农作物(Ⅰ)?人工林(Ⅱ)?次生林(Ⅲ)?原生林(Ⅳ)的变化，土壤水分显著提高，空间变异特征明显不同，Ⅰ、Ⅱ、Ⅲ和Ⅳ分别符合指数模型、高斯模型、指数模型和球状模型，块金值与基台值之比(C0/(C0+C))在0.269～0.500之间，具有中等的空间相关性，Ⅰ和Ⅳ土壤水分的空间结构相似，(C0/(C0+C))值较大，随机因素和自相关异质性各占50%，分维数D值较大，空间依赖性较小，Ⅱ和Ⅳ相反；农业耕作区土壤水分的空间延续范围较大，变程达252.9 m，其他3个植被类型的变程均较小(141.2～163.2 m)；Kriging等值线图从不同位置和方向上清楚地表明Ⅰ和Ⅳ土壤水分的空间分布均呈凸型分布，Ⅱ呈单峰分布，Ⅲ呈凹型分布；影响土壤水分空间分布的因子很多，其中干扰通过对植被的调控发挥了关键作用，降低干扰是喀斯特峰丛洼地脆弱生态系统水资源改善、合理利用及生态恢复重建的重要举措。
- 植被类型 /
- 土壤水分 /
- 空间变化 /
- 喀斯特峰丛洼地
Abstract: In this paper, the authors tries to illustrate the spatial heterogeneity of the soil moisture in surface layer (0～10 cm) under four typical vegetation types and the ecological processes and mechanism in peak-cluster depression. The results show that the soil moisture in surface layer increases significantly with the reduced disturbance gradient, and vegetation takes a succession change from crops (Ⅰ) to man-made forest (Ⅱ), to secondary forest (Ⅲ), to primary forest (Ⅳ). The spatial heterogeneity of the soil moisture in surface layer under the four vegetation types is diverse. Exponential, Gaussian, exponential and spherical models fit best for the spatial patterns of soil moisture in surface layer inⅠand Ⅲ, Ⅱ, and Ⅳ, respectively. The values of (C0/ (C0+C)) ranged from 0.269 to 0.500, which indicates the soil moisture in the four types having medium spatial autocorrelation. The spatial patterns of the soil moisture in surface layer are similar in type Ⅰand Ⅳ, with relative large value of (C0/ (C0+C)) and fractal, which suggests less dependence on spatial existed in the two vegetation types. The reverse is true to type Ⅱ and Ⅳ. The range in typeⅠis up to 252.9 m, and the ranges of the other three vegetation types are relative small (from 141.2 to 163.2 m). The Kriging contour maps clearly show the spatial distribution of the soil moisture in type Ⅰ and Ⅳ is convex, while that in Ⅱ is unimodal and in Ⅲ concave. It is suggested that spatial pattern of the soil moisture in surface layer is affected by a large number of factors, among which disturbance plays a key role through regulating vegetation. Therefore, to reduce disturbance might be an important measure for the improvement of water resource and the restoration of eco-environment in karst peak-cluster depression.
- vegetation type /
- soil moisture /
- spatial variation /
- peak-cluster depression

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参考文献(19)

[1]	Rossi R E, Mulla D J, Journel A G, et al. Geostatistics tools for modeling and interpreting ecological spatial dependence. Ecological Monographs, 1992, 62: 277-314.
[2]	Famiglietti J S, Rudnick J W, Rodellt M. Variability in surface moisture content along a hillslope transect: Rattlesnake Hill, Texas ［J］. Journal of Hydrology, 1998, 210: 259-281.
[3]	Western A W, Bl?schl G, Grayson R B, et al. Geostatistics characterization of soil moisture patterns in the Tarrawarra catchment. Journal of Hydrology, 1998, 205: 20-37.
[4]	Andrew W W, Gunter B, Rodger B G. Geostatistical characterization of soil moisture patterns in the tarrawarra catchment ［J］. Journal of Hydrology, 1998, 205: 20-37.
[5]	蒋忠诚, 李先琨, 曾馥平, 等. 岩溶峰丛洼地生态重建［M］. 北京: 地质出版社, 2007.
[6]	宋同清, 彭晚霞, 易文明, 等. 3种典型生物措施对亚热带红壤丘陵茶园季节性干旱的防御效果［J］. 水土保持学报, 2006, 20(4): 191-194.
[7]	陈洪松, 王克林. 岩溶干旱特征及其治理对策［J］. 农业现代化研究, 2004, 25(专刊): 70-73.
[8]	彭晚霞, 王克林, 宋同清, 等. 喀斯特脆弱生态系统复合退化控制与重建模式研究［J］. 生态学报, 2008, 28(2): 811-820.
[9]	宋同清,彭晚霞,曾馥平,等.喀斯特木论自然倮护区旱季土壤水分的空间异质性［J］.应用生态学报,2009,19(1):98-104.
[10]	张继光,陈洪松,苏以荣,等.喀斯特山区洼地表层土壤水分的时空变异［J］.生态学报,2008,28(12):6334-6343.
[11]	张伟,陈洪松,王克林,等.喀斯特地区典型蜂丛洼地旱季表层土壤水分空间变异性初探［J］.土壤学报,2006,43(4):554-562.
[12]	兰安军,张百平,熊康宁,等.斡西南脆弱喀斯特生态环境空间格局分析［J］地理研究,2003,22(6):733-741.
[13]	王政权.地统计学在生态学中的应属［M］.北京:科学出版社，1999.
[14]	Goovaets P. Geostatistical tools for characterizing the spatial variability of microbiological and physico-chemical soil properties ［J］. Biology and Fertility of Soils, 1998, 27: 315-314.
[15]	Trangmar B B, Yost R S, Uehara G. Application of geostatistics to spatial studies of soil properties ［J］. Advances in Agronomy, 1985, 38: 45-94.
[16]	Pickett S T A,White P S. The ecology of natural disturbance and patch dynamics［M］. London: Academic Press,1985.
[17]	Gunn J,Sarah C,Michelle G,Christine H,et al.Human impact on the Cuilcagh karst,Ire1and［C］//.Sauro U., Bondesan, A., Meneghel, M., Eds. Proceedings of theinternational conference on environmental changes in karst area. Italy: Universita di Padova, 1991, 405.
[18]	曾馥平,彭晚磴,宋同清,等.桂西北喀斯特人为干扰区植被自然恢复 22年后群落特［J］.生态学报,2007,27(12):5110-5119.
[19]	中国科学院学部.关于推进西南岩溶地区石漠化综合治理的若干建议［J］地球科学进展,2003,18(4):489-492.