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基于电磁感应成像植被斑块土壤水盐效应研究
引用本文:蒋志云,李小雁,张思毅,吴华武,马育军,胡中民.基于电磁感应成像植被斑块土壤水盐效应研究[J].生态学报,2019,39(24):9188-9199.
作者姓名:蒋志云  李小雁  张思毅  吴华武  马育军  胡中民
作者单位:华南师范大学地理科学学院, 广州 510631;北京师范大学地理科学学部自然资源学院, 北京 100875,北京师范大学地理科学学部自然资源学院, 北京 100875;北京师范大学地表过程与资源生态国家重点实验室, 北京 100875,广东省生态环境技术研究所, 广州 510650,中国科学院南京地理与湖泊研究所, 南京 210008,北京师范大学地理科学学部自然资源学院, 北京 100875,华南师范大学地理科学学院, 广州 510631
基金项目:广东省科技创新战略专项资金博士启动项目(2018A030310517);中国博士后科学基金资助项目(2018M643110);国家自然科学基金项目(41730854,91425301)
摘    要:土壤水盐过程在植被斑块的形成与演变中起着十分关键的作用,但其与植被斑块间的相互作用关系因研究工具的限制而缺乏深入认识。以青海湖流域芨芨草斑块群落为研究对象,通过采用电磁感应(EMI)产生的表观电导率(ECa)成像解译土壤水分与盐分的时空动态变化,建立芨芨草斑块分布格局与土壤水盐变化过程之间的联系。结果表明:ECa分别与土壤水分、盐分间存在显著相关关系(P0.01),多元回归模型指出,ECa变化的81%可由土壤水分与盐分变化来解释,因此可用ECa变化表征土壤水分与盐分的变化;此外,强降雨事件前后ECa动态变化图指出,芨芨草斑块处土壤水分增加量高于基质区,说明芨芨草斑块能够快速聚集水分;而不论干湿状态或不同季节,芨芨草斑块处土壤水盐含量总是高于基质区,表现出时间稳定性,说明芨芨草斑块是土壤水盐的聚集区。因此,EMI成像可揭示芨芨草斑块土壤水盐空间分布及动态变化过程,为植被斑块的水文过程研究提供快速可靠的方法。

关 键 词:电磁感应(EMI)  土壤水文过程  土壤盐分  植被斑块  青海湖流域
收稿时间:2018/10/10 0:00:00
修稿时间:2019/7/26 0:00:00

Effects of vegetation patches on soil water and salt dynamics using electromagnetic induction
JIANG Zhiyun,LI Xiaoyan,ZHANG Siyi,WU Huawu,MA Yujun and HU Zhongmin.Effects of vegetation patches on soil water and salt dynamics using electromagnetic induction[J].Acta Ecologica Sinica,2019,39(24):9188-9199.
Authors:JIANG Zhiyun  LI Xiaoyan  ZHANG Siyi  WU Huawu  MA Yujun and HU Zhongmin
Institution:School of Geography, South China Normal University, Guangzhou 510631, China;Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China,Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China,Guangdong Institute of Eco-Environmental & Technology, Guangzhou 510650, China,Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China,Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China and School of Geography, South China Normal University, Guangzhou 510631, China
Abstract:The surface soil hydrology is extremely important for driving the formation and evolution of vegetation patches in water-limited ecosystems. However, the process of soil hydrology and its response to vegetation patches are unclear due to limited tools. This study chose patchy grass Achnatherum splendens as an indicator plant to reveal the spatial-temporal dynamics of soil water and salt, and soil water and salt responses to spatial patterns of A. splendens patches, were shown by electrical conductivity (ECa) images, in the study area of Qinghai Lake watershed in north-western China. The results showed that there were significant positive correlations (P<0.01) between ECa, and soil water and salt. ECa could be used as a proxy for the changes of soil water and salt, because soil water and salt could explain 81% of the ECa changes based on the multivariate regression model. Moreover, based on the time-lapse ECa images, the increment of soil water under A. splendens patches was higher than that of matrix zones, compared with before and after intensive rainfall, meaning A. splendens patches acted as sink to accumulate water runoff. Analysis of temporal stability showed spatial ECa patterns were highly consistent with the distributions of A. splendens patches, and soil water and salt content under A. splendens patches were remarkable higher than that of matrix zones, whatever the moist conditions or seasons. This indicated that A. splendens patches were the accumulation area for soil water and salt. Therefore, the findings of this study proved that it is a novel method to reveal the dynamics of soil water and salt, and its responses to the spatial patterns of A. splendens patches by EMI method, which might provide valuable insights in understating the hydrological process of patchy vegetation.
Keywords:electromagnetic induction  soil hydrological process  soil salt  vegetation patches  Qinghai Lake watershed
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