毛乌素沙区地下水对植被盖度空间格局影响分析

贺军奇; 赵同强; 陈云飞; 尚晓伟; 刘树平; 李安林; 刘秀花; 马延东; 郑策

doi:10.13870/j.cnki.stbcxb.2023.02.012

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毛乌素沙区地下水对植被盖度空间格局影响分析

更新时间：2025-03-12

- 毛乌素沙区地下水对植被盖度空间格局影响分析
- Effect of Subsurface Water on Spatial Pattern of Vegetation Coverage in Mu Us Sandy Area
- 水土保持学报 2023年37卷第2期页码：90-99
- 作者机构：
  
  1. 长安大学水利与环境学院,西安,710054
  2. 旱区地下水与生态效应教育部重点实验室,西安,710054
  3. 水利部旱区生态水文与水安全重点实验室,西安,710054
  4. 榆林市水利局,陕西,榆林,719000
  5. 国家林业和草原局黄土高原水土保持与生态修复重点实验室,西安,710054
- 作者简介：
  
  [ "贺军奇(1978—),男,博士,副教授,主要从事水文生态学研究。E-mail:hejunqi@chd.edu.cn" ]
- 基金信息：
  
  国家自然科学基金项目(41877179,41901034);陕西水利科技计划项目(2019slkj-18);中央高校基本科研业务费项目(300102292904)
- DOI：10.13870/j.cnki.stbcxb.2023.02.012
  中图分类号： P349
- 纸质出版：2023
- 稿件说明：
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贺军奇, 赵同强, 陈云飞, 等. 毛乌素沙区地下水对植被盖度空间格局影响分析[J]. 水土保持学报, 2023,37(2):90-99.

HE Junqi, ZHAO Tongqiang, CHEN Yunfei, et al. Effect of Subsurface Water on Spatial Pattern of Vegetation Coverage in Mu Us Sandy Area[J]. 2023, 37(2): 90-99.
贺军奇, 赵同强, 陈云飞, 等. 毛乌素沙区地下水对植被盖度空间格局影响分析[J]. 水土保持学报, 2023,37(2):90-99. DOI： 10.13870/j.cnki.stbcxb.2023.02.012.

HE Junqi, ZHAO Tongqiang, CHEN Yunfei, et al. Effect of Subsurface Water on Spatial Pattern of Vegetation Coverage in Mu Us Sandy Area[J]. 2023, 37(2): 90-99. DOI： 10.13870/j.cnki.stbcxb.2023.02.012.

摘要

通过在榆溪河流域沿地下水埋深增大方向设置植被调查样带

基于植被盖度、地下水埋深及土壤含水量等数据

利用多元经验模态分解(MEMD)获取植被盖度及其影响因子所表征的空间尺度

结构方程解析植被盖度空间分布的驱动因素

并结合聚类分析划分了植被群落自然恢复演替空间格局状态变化特征。结果表明:(1) MEMD将空间多元数据分解为3个本征模态函数

经希尔伯特转换得到各模态函数相应的空间尺度分别为14

38 km;(2)结构方程模型和MEMD分解后的最大表征尺度相关分析表明

地下水埋深与植被盖度在整个样带尺度上呈显著负相关(R2=-0.95

p＜0.001);土壤含水量与植被盖度以地下水埋深5 m空间尺度为分界点

＜5 m的区域呈显著正相关(路径系数为0.68

p＜0.001)

＞5 m的区域呈显著负相关(路径系数为-0.43

P＜0.01);(3)在此基础上

结合系统聚类分类结果将植被盖度划分为核心区(地下水埋深0~3 m)、过渡区(地下水埋深3~4 m)、稳定区(地下水埋深4~5 m)、外围区(地下水埋深5~10 m)及边缘区(地下水埋深10~15 m)。研究表明

植被盖度对地下水埋深的响应在空间上存在多尺度特征

该结果可为沙地生态恢复及地下水资源的保护与利用提供科学依据。

Abstract

By setting vegetation survey transect along the increasing direction of groundwater table depth (GTD) in Yuxi River basin

and based on the data of vegetation coverage

GTD and soil water content

the spatial scale represented by vegetation coverage and its influencing factors was obtained by Multivariate Empirical Mode Decomposition (MEMD)

the driving factors of vegetation coverage spatial distribution were analyzed by structural equation

then the spatial pattern change characteristics of natural restoration and succession of vegetation communities were divided combining cluster analysis.The results showed that:(1) MEMD decomposed the multivariate spatial data into three intrinsic mode functions.After Hilbert's transformation

the corresponding spatial scales of each modal part were 14

and 38 km

respectively.(2) The maximum represent scale correlation analysis of structural equation model and MEMD after decomposition showed that the GTD had a significant negative correlation with vegetation coverage at the whole transect scale (R2=-0.95

p<0.001);taking GTD 5 m as the cut-off point

the correlation between soil moisture content and vegetation coverage was significantly positive in the GTD less than 5 m (Path coefficient is 0.68

p < 0.001)

and significantly negative in greater than 5 m (Path coefficient is-0.43

p<0.01).(3) On this basis

combined with the results of systematic clustering classification

vegetation coverage was divided into the core area (GTD 0~3 m)

transition area (GTD 3~4 m)

stability area (GTD 4~5 m)

peripheral area (GTD 5~10 m) sand marginal area (GTD 10~15 m).The results showed that the response of vegetation coverage to subsurface water had multi-scale characteristics in space

which can provide scientific basis for ecological restoration of sandy land and the protection and utilization of groundwater resources.

关键词

Keywords

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