{"title":"Halophyte-based saline irrigation: A remote sensing study of eco-hydrological impacts","authors":"Ahmad Azeem, Wenxuan Mai, Liyuan Jiang","doi":"10.1016/j.sbsr.2026.101050","DOIUrl":null,"url":null,"abstract":"<div><div>Saline irrigation with halophytes has emerged as a promising nature based solution for enhancing ecosystem functioning in arid saline environments; however, its long term Eco-hydrological effects remain poorly understood. This study examined long term Eco-hydrological impacts of a halophyte based saline irrigation system at the Karamay experimental site, Xinjiang, China, by using multi-source remote sensing data between 2015 and 2025. Indicators of seasonal growing period, such as normalized difference vegetation index (NDVI), soil salinity index (SI), evapotranspiration (ET), and land surface temperature (LST) were compared between a managed halophyte garden and an adjacent control area. Findings indicated that the halophyte garden always had higher NDVI, ET and lower SI, LST, compared to the control area, which meant better vegetation performance, less salinity stress, and thermal conditions. Mann Kendall and Sen's slope analyses revealed no significant year to year trends in NDVI, SI, ET, or LST in either area. Regression analysis indicated that SI and NDVI had a strong negative relationship. While there was a positive relationship between ET and NDVI. These findings affirm that salinity in soils was the primary constraint to vegetation growth, whereas water flux favored the growth of the plants. Multivariate regression and machine learning models (Random Forest and Extreme Gradient Boosting), further established SI to be the best predictor of NDVI, followed by land management and ET, but temperature and precipitation did not have significant effects. Importantly, halophyte systems do not eliminate salinity stress but mitigate its ecological impact, promoting vegetation tolerance. The findings underscore their possible potential as a nature based solution to sustainable land and water management in arid salty environments.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"53 ","pages":"Article 101050"},"PeriodicalIF":4.7000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensing and Bio-Sensing Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214180426001005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/7/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Saline irrigation with halophytes has emerged as a promising nature based solution for enhancing ecosystem functioning in arid saline environments; however, its long term Eco-hydrological effects remain poorly understood. This study examined long term Eco-hydrological impacts of a halophyte based saline irrigation system at the Karamay experimental site, Xinjiang, China, by using multi-source remote sensing data between 2015 and 2025. Indicators of seasonal growing period, such as normalized difference vegetation index (NDVI), soil salinity index (SI), evapotranspiration (ET), and land surface temperature (LST) were compared between a managed halophyte garden and an adjacent control area. Findings indicated that the halophyte garden always had higher NDVI, ET and lower SI, LST, compared to the control area, which meant better vegetation performance, less salinity stress, and thermal conditions. Mann Kendall and Sen's slope analyses revealed no significant year to year trends in NDVI, SI, ET, or LST in either area. Regression analysis indicated that SI and NDVI had a strong negative relationship. While there was a positive relationship between ET and NDVI. These findings affirm that salinity in soils was the primary constraint to vegetation growth, whereas water flux favored the growth of the plants. Multivariate regression and machine learning models (Random Forest and Extreme Gradient Boosting), further established SI to be the best predictor of NDVI, followed by land management and ET, but temperature and precipitation did not have significant effects. Importantly, halophyte systems do not eliminate salinity stress but mitigate its ecological impact, promoting vegetation tolerance. The findings underscore their possible potential as a nature based solution to sustainable land and water management in arid salty environments.
期刊介绍:
Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies.
The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.