[1]刘晓丽,马理辉*,汪有科. 黄土丘陵区密植枣林细根空间分布统计模型优选[J].西北林学院学报,2014,29(06):29-34.[doi:doi:10.3969/j.issn.1001-7461.2014.06.06]
　LIU Xiao-li,MA Li-hui*,WANG You-ke. Statistical Model Optimization of Fine Root Spatial Distribution in Densely Planted Jujube Plantation in Loess Region[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2014,29(06):29-34.[doi:doi:10.3969/j.issn.1001-7461.2014.06.06]
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 黄土丘陵区密植枣林细根空间分布统计模型优选()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第29卷
期数:
2014年06期
页码:
29-34
栏目:
出版日期:
2014-11-30

文章信息/Info

Title:
 Statistical Model Optimization of Fine Root Spatial Distribution in Densely Planted Jujube Plantation in Loess Region
文章编号:
1001-7461(2014)06-0029-06
作者:
 刘晓丽1; 马理辉2; 3*; 汪有科2; 3
 （1 西北农林科技大学，陕西 杨陵 712100；2 西北农林科技大学 水土保持研究所，陕西 杨陵 712100；3中国科学院 水利部 水土保持研究所，陕西 杨陵 712100）
Author(s):
 LIU Xiao-li1;  MA Li-hui2; 3*;  WANG You-ke2; 3
 (1. Northwest A&F University, Yangling, Shaanxi 712100, China; 2. Institute of Soil and Water Conservation, Northwest A&F University，Yangling, Shaanxi 712100, China; 3. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China)
关键词:
 ; 密植枣林; 根系分布; 固定效应; 随机效应; 统计模型; 黄土丘陵区
Keywords:
 ; densely jujube plantation;  root distribution;  fixed effect;  random effect;  statistical model;  loess hilly region
分类号:
S718.4
DOI:
doi:10.3969/j.issn.1001-7461.2014.06.06
文献标志码:
A
摘要:
 为了选取最优的黄土丘陵半干旱区密植人工枣林细根空间分布的统计模型，以4、8及11年生的密植枣林为研究对象，采用壕沟剖面法获取根系分布的数据，通过选取不同的固定效应、随机效应及协变量（树龄、土层深度、离树干的水平距离），用固定效应方差分析模型、混合效应方差分析模型及协方差分析模型对细根空间分布进行比较分析。结果表明：把树龄作为固定效应、土层深度作为协变量、离树干的水平距离作为随机效应配合的协方差分析模型，修正复相关系数最高，剩余均方差最小；枣林细根随树龄增加显著增加，随土层深度的增加显著减少，随离树干的水平距离无显著差异，符合密植枣林的实际空间分布规律，是最优统计模型。可为准确分析根系空间分布规律提供基础数据，为其他林分的根系空间分布规律的分析提供参考。
Abstract:
 In order to establish optimal statistic models to describe the spatial distribution of the fine roots of densely planted artificial jujube plantation, 4, 8, and 11-year old jujube plantations were selected in the loess hilly semiarid areas as research objects. The root distribution data were collected by the trenches profiles method. Several models were applied and compared, such as the fixed effect variance analysis model, mixed effect variance analysis model and covariance analysis model to analyze root spatial distribution on different fixed effects, random effect and covariant(tree age, soil layer depth, horizontal distance from the trunk). The results showed that the covariance analysis model was the best fitting model which assumed tree age as fixed effect, soil layer depth as covariant, and the distance from trunk as random effect. The corrected correlation coefficient value was the biggest, and the remaining mean variance value was the smallest. The number of fine root increased significantly with tree age, decreased significantly with soil layer depth, there were no significant difference with the horizontal distance from the trunk, it conformed to densely jujube plantation realistic spatial distribution pattern. This result can provide basic data for spatial root distribution characteristics, and theoretical reference for the spatial root distribution of other forest plantations.

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备注/Memo

备注/Memo:
 收稿日期：2014-06-30修回日期：2014-09-11
基金项目：国家科技支撑计划（2011BAD29B04），国家自然科学基金（31200343），中国科学院“西部之光”资助项目（2013）。
作者简介：刘晓丽，女，博士，助理研究员，研究方向：根系生态学及水土资源高效利用。E-mai:404270234@qq.com
*通信作者：马理辉，男，博士，副研究员，研究方向：根系生态学和生态水文学。E-mail:gjzmlh@126.com
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