Halophyte-based saline irrigation: A remote sensing study of eco-hydrological impacts

IF 4.7 Q1 CHEMISTRY, ANALYTICAL
Sensing and Bio-Sensing Research Pub Date : 2026-08-01 Epub Date: 2026-07-07 DOI:10.1016/j.sbsr.2026.101050
Ahmad Azeem, Wenxuan Mai, Liyuan Jiang
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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.
基于盐生植物的盐水灌溉:生态水文影响的遥感研究
利用盐生植物进行盐水灌溉已成为一种很有前途的基于自然的解决方案,可增强干旱盐碱环境中的生态系统功能;然而,其长期的生态水文效应仍然知之甚少。利用2015 - 2025年多源遥感数据,研究了新疆克拉玛依试验区盐生植物盐水灌溉系统的长期生态水文影响。比较了盐生植物管理园与相邻对照区的季节生长期指标,如归一化植被指数(NDVI)、土壤盐度指数(SI)、蒸散量(ET)和地表温度(LST)。结果表明:与对照区相比,盐生植物园的NDVI、ET和SI、LST均较高,植被性能较好,盐度胁迫和热条件较低;Mann Kendall和Sen的斜率分析显示,两个地区的NDVI、SI、ET或LST没有显著的年际变化趋势。回归分析表明,SI与NDVI呈较强的负相关。ET与NDVI呈正相关。这些发现证实了土壤盐度是植被生长的主要制约因素,而水通量有利于植物的生长。多元回归和机器学习模型(随机森林和极端梯度增强)进一步证实SI是NDVI的最佳预测因子,其次是土地管理和ET,但温度和降水对NDVI的影响不显著。重要的是,盐生植物系统不会消除盐胁迫,但会减轻其生态影响,提高植被的耐受性。这一发现强调了它们作为干旱含盐环境中可持续土地和水管理的基于自然的解决方案的可能潜力。
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来源期刊
Sensing and Bio-Sensing Research
Sensing and Bio-Sensing Research Engineering-Electrical and Electronic Engineering
CiteScore
10.70
自引率
3.80%
发文量
68
审稿时长
87 days
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.
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