{"title":"Impact of climatic factors on eutrophication in the World’s largest lake","authors":"Zohra Mozafari , Roohollah Noori , Sayed M. Bateni , Changhyun Jun , Dongkyun Kim , Mohammad Javad Saravani , Danial Naderian , Seyed Mostafa Siadatmousavi , Hossein Afzalimehr , Jafar Azizpour , Masoud Sadrinasab , Majid Hosseinzadeh , Peiman Kianmehr , Soroush Abolfathi","doi":"10.1016/j.ecolind.2025.113497","DOIUrl":null,"url":null,"abstract":"<div><div>Climatic and anthropogenic factors both contribute to lake eutrophication. However, the influence of climatic factors, particularly in large, deep, and transboundary lakes, remains poorly understood due to technical challenges, data scarcity, and geopolitical constraints. This is especially true for the Caspian Sea, the world’s largest lake, where its unique continental climate further complicates efforts to quantify the climate contribution to eutrophication. This study leverages extensive datasets from MODIS-Aqua and the ERA5, spanning 2003 to 2021, to develop a generalized additive model (GAM) aimed at investigating the impact of climatic factors on chlorophyll-<em>a</em> (Chl-<em>a</em>) concentrations in the Caspian Sea. Given the sea’s distinct continental climate, complex morphometric characteristics, and significant spatial variability in Chl-<em>a</em>, the basin was divided into 14 subzones to better capture regional responses of Chl-<em>a</em> to climatic changes. The GAM, trained to predict Chl-<em>a</em>, demonstrated acceptable performance (correlation coefficient > 0.5) in 12 of the 14 subzones. Results indicate the predominant influence of photosynthetically active radiation on Chl-<em>a</em> changes in nine subzones, particularly in the southern Caspian Sea. This parameter is critical for regulating light availability for phytoplankton productivity. Sea surface temperature emerged as the second most influential driver of Chl-<em>a</em> levels, likely due to its role in controlling thermal stratification and upwelling, which stimulate phytoplankton growth. Precipitation, by contrast, was found to be the least significant driver of Chl-<em>a</em> levels during the study period. By elucidating the relationships between climatic drivers and Chl-<em>a</em> levels, this study provides a comprehensive understanding of the complex dynamics of eutrophication under changing climate conditions in the Caspian Sea.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113497"},"PeriodicalIF":7.0000,"publicationDate":"2025-04-30","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/S1470160X25004273","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
Climatic and anthropogenic factors both contribute to lake eutrophication. However, the influence of climatic factors, particularly in large, deep, and transboundary lakes, remains poorly understood due to technical challenges, data scarcity, and geopolitical constraints. This is especially true for the Caspian Sea, the world’s largest lake, where its unique continental climate further complicates efforts to quantify the climate contribution to eutrophication. This study leverages extensive datasets from MODIS-Aqua and the ERA5, spanning 2003 to 2021, to develop a generalized additive model (GAM) aimed at investigating the impact of climatic factors on chlorophyll-a (Chl-a) concentrations in the Caspian Sea. Given the sea’s distinct continental climate, complex morphometric characteristics, and significant spatial variability in Chl-a, the basin was divided into 14 subzones to better capture regional responses of Chl-a to climatic changes. The GAM, trained to predict Chl-a, demonstrated acceptable performance (correlation coefficient > 0.5) in 12 of the 14 subzones. Results indicate the predominant influence of photosynthetically active radiation on Chl-a changes in nine subzones, particularly in the southern Caspian Sea. This parameter is critical for regulating light availability for phytoplankton productivity. Sea surface temperature emerged as the second most influential driver of Chl-a levels, likely due to its role in controlling thermal stratification and upwelling, which stimulate phytoplankton growth. Precipitation, by contrast, was found to be the least significant driver of Chl-a levels during the study period. By elucidating the relationships between climatic drivers and Chl-a levels, this study provides a comprehensive understanding of the complex dynamics of eutrophication under changing climate conditions in the Caspian Sea.
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.