Soil moisture variation and affecting factors analysis in the Zhangjiakou–Chengde district based on modified temperature vegetation dryness index

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators Pub Date : 2024-11-01 DOI:10.1016/j.ecolind.2024.112775

Jintao Zheng , Xiaomei Jin , Qing Li , Jie Lang , Xiulan Yin

{"title":"Soil moisture variation and affecting factors analysis in the Zhangjiakou–Chengde district based on modified temperature vegetation dryness index","authors":"Jintao Zheng , Xiaomei Jin , Qing Li , Jie Lang , Xiulan Yin","doi":"10.1016/j.ecolind.2024.112775","DOIUrl":null,"url":null,"abstract":"<div><div>As an important water conservation and sand–wind barrier, the Zhangjiakou–Chengde district (ZC) is highly important for ecological protection in the Beijing–Tianjin–Hebei region. The research on the variation in soil moisture and its affecting factors is important for early drought warning and the improvement of environmental protection. Based on the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Global Land Data Assimilation System (GLDAS) datasets, the spatiotemporal variation in surface soil moisture in the ZC was simulated from 2001 to 2021 using the temperature vegetation dryness index (TVDI) model. The optimal parameter geographical detector (OPGD) method was used to identify the contributions of 10 factors affecting soil moisture. The results indicate that soil moisture generally fluctuated during 2001–2021. Six phases were identified. Spatially, the soil moisture was higher in the east and lower in the western part of the study area. Approximately 83.09 % of the district experienced a progressive increase in soil moisture. The future soil moisture dynamics trend indicates that 62.98 % of the ZC would shift from dry to wet conditions. The normalized difference vegetation index (NDVI), precipitation, land use types, slope, elevation, temperature, aspect, sand content, silt content, and clay content were analyzed to determine their effects on the soil moisture variation. The interaction analysis revealed that the effect of multiple factors was higher than that of the individual factors. The synergistic interaction between NDVI and elevation had the highest influence on soil moisture. The results of the risk detector showed that the NDVI, precipitation, elevation, slope, and clay content contributed to soil moisture. Meanwhile, the temperature and sand content contributed to soil moisture in the converse manner. The research on soil moisture variations and its impact factors on the ZC has high significance for the efficient utilization of water resources and eco–environmental protection.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"168 ","pages":"Article 112775"},"PeriodicalIF":7.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X24012329","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

As an important water conservation and sand–wind barrier, the Zhangjiakou–Chengde district (ZC) is highly important for ecological protection in the Beijing–Tianjin–Hebei region. The research on the variation in soil moisture and its affecting factors is important for early drought warning and the improvement of environmental protection. Based on the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Global Land Data Assimilation System (GLDAS) datasets, the spatiotemporal variation in surface soil moisture in the ZC was simulated from 2001 to 2021 using the temperature vegetation dryness index (TVDI) model. The optimal parameter geographical detector (OPGD) method was used to identify the contributions of 10 factors affecting soil moisture. The results indicate that soil moisture generally fluctuated during 2001–2021. Six phases were identified. Spatially, the soil moisture was higher in the east and lower in the western part of the study area. Approximately 83.09 % of the district experienced a progressive increase in soil moisture. The future soil moisture dynamics trend indicates that 62.98 % of the ZC would shift from dry to wet conditions. The normalized difference vegetation index (NDVI), precipitation, land use types, slope, elevation, temperature, aspect, sand content, silt content, and clay content were analyzed to determine their effects on the soil moisture variation. The interaction analysis revealed that the effect of multiple factors was higher than that of the individual factors. The synergistic interaction between NDVI and elevation had the highest influence on soil moisture. The results of the risk detector showed that the NDVI, precipitation, elevation, slope, and clay content contributed to soil moisture. Meanwhile, the temperature and sand content contributed to soil moisture in the converse manner. The research on soil moisture variations and its impact factors on the ZC has high significance for the efficient utilization of water resources and eco–environmental protection.

查看原文本刊更多论文

基于修正的温度植被干燥指数的张家口-承德地区土壤水分变化及影响因素分析

张家口承德地区（ZC）是京津冀地区重要的水源涵养地和风沙屏障，对京津冀地区的生态保护具有十分重要的意义。研究土壤水分的变化及其影响因素，对干旱预警和改善环境保护具有重要意义。基于中分辨率成像分光仪（MODIS）和全球陆地数据同化系统（GLDAS）数据集，利用温度植被干燥指数（TVDI）模型模拟了2001-2021年京津冀地区地表土壤水分的时空变化。利用最优参数地理探测器（OPGD）方法确定了影响土壤水分的 10 个因素的贡献。结果表明，2001-2021 年期间，土壤水分总体上是波动的。共确定了六个阶段。从空间上看，研究区东部的土壤湿度较高，西部较低。约 83.09% 的地区土壤水分逐渐增加。未来的土壤水分动态趋势表明，62.98% 的分区将从干燥状态转为湿润状态。分析了归一化差异植被指数 (NDVI)、降水、土地利用类型、坡度、海拔、温度、地势、含沙量、含粉量和含泥量对土壤水分变化的影响。交互作用分析表明，多因素的影响高于单因素的影响。NDVI 与海拔之间的协同交互作用对土壤水分的影响最大。风险检测结果表明，NDVI、降水、海拔、坡度和粘土含量对土壤水分有促进作用。而温度和含沙量对土壤水分的影响则相反。研究土壤水分变化及其对 ZC 的影响因素对水资源的有效利用和生态环境保护具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Ecological Indicators 环境科学-环境科学

CiteScore

11.80

自引率

8.70%

发文量

1163

审稿时长

78 days

期刊介绍： The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.