{"title":"Temporal variability in environmental influences on silver croaker (Pennahia argentata) life-history traits in the East China Sea","authors":"Gibril Sesay , Richard Kindong , Chunxia Gao , Shiqing Zhao , Siquan Tian","doi":"10.1016/j.marenvres.2025.107534","DOIUrl":null,"url":null,"abstract":"<div><div>Climate change is reshaping marine ecosystems, yet its effects on the life-history traits of commercially important fish species remain insufficiently understood. This study investigates the impact of environmental factors on the growth and survival of silver croaker (<em>Pennahia argentata</em>) in the southern waters of Zhejiang, China, a key fishing ground in the East China Sea. A Life-History Trait Composite Index (LTCI), incorporating von Bertalanffy growth rate (K), mortality (M), average length (L), and asymptotic length (L∞), was used to assess responses to sea surface temperature (SST), sea surface salinity (SSS), dissolved oxygen (DO), and pH across three zones (South, Central, North) from 2015 to 2022. Analyses using Spearman correlation, cross-correlation functions (CCF), Generalized Additive Models (GAM), and Artificial Neural Networks (ANN) revealed zone-specific environmental drivers. pH and SSS emerged as primary influences: pH showed a strong positive correlation with LTCI in the South Zone (<em>r</em> = 0.79) and a moderate effect in the Central Zone (<em>r</em> = 0.44), while SSS had a strong negative impact in the South (<em>r</em> = −0.86) and moderate impact in the Central Zone (<em>r</em> = −0.25). Spearman results also showed contrasting SSS-LTCI correlations, ranging from strongly negative in the South (<em>ρ</em> = −0.89) to positive in the North (<em>ρ</em> = 0.37). GAMs identified nonlinear environmental effects, with SST exerting a significant negative influence in the Central Zone (<em>p</em> = 0.009) and pH having a positive effect (<em>p</em> = 0.046). In the North Zone, delayed oxygen stress and high sea surface salinity corresponded to a 47 % decline in fish size. These results underscore the importance of continuous ecosystem monitoring and highlight pH, DO, and SSS as critical drivers of silver croaker productivity. Region-specific management strategies are recommended: habitat conservation in the South, sea surface salinity and oxygen monitoring in the North, and threshold-based protections in the Central Zone to support sustainable fisheries.</div></div>","PeriodicalId":18204,"journal":{"name":"Marine environmental research","volume":"212 ","pages":"Article 107534"},"PeriodicalIF":3.2000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marine environmental research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0141113625005914","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Climate change is reshaping marine ecosystems, yet its effects on the life-history traits of commercially important fish species remain insufficiently understood. This study investigates the impact of environmental factors on the growth and survival of silver croaker (Pennahia argentata) in the southern waters of Zhejiang, China, a key fishing ground in the East China Sea. A Life-History Trait Composite Index (LTCI), incorporating von Bertalanffy growth rate (K), mortality (M), average length (L), and asymptotic length (L∞), was used to assess responses to sea surface temperature (SST), sea surface salinity (SSS), dissolved oxygen (DO), and pH across three zones (South, Central, North) from 2015 to 2022. Analyses using Spearman correlation, cross-correlation functions (CCF), Generalized Additive Models (GAM), and Artificial Neural Networks (ANN) revealed zone-specific environmental drivers. pH and SSS emerged as primary influences: pH showed a strong positive correlation with LTCI in the South Zone (r = 0.79) and a moderate effect in the Central Zone (r = 0.44), while SSS had a strong negative impact in the South (r = −0.86) and moderate impact in the Central Zone (r = −0.25). Spearman results also showed contrasting SSS-LTCI correlations, ranging from strongly negative in the South (ρ = −0.89) to positive in the North (ρ = 0.37). GAMs identified nonlinear environmental effects, with SST exerting a significant negative influence in the Central Zone (p = 0.009) and pH having a positive effect (p = 0.046). In the North Zone, delayed oxygen stress and high sea surface salinity corresponded to a 47 % decline in fish size. These results underscore the importance of continuous ecosystem monitoring and highlight pH, DO, and SSS as critical drivers of silver croaker productivity. Region-specific management strategies are recommended: habitat conservation in the South, sea surface salinity and oxygen monitoring in the North, and threshold-based protections in the Central Zone to support sustainable fisheries.
期刊介绍:
Marine Environmental Research publishes original research papers on chemical, physical, and biological interactions in the oceans and coastal waters. The journal serves as a forum for new information on biology, chemistry, and toxicology and syntheses that advance understanding of marine environmental processes.
Submission of multidisciplinary studies is encouraged. Studies that utilize experimental approaches to clarify the roles of anthropogenic and natural causes of changes in marine ecosystems are especially welcome, as are those studies that represent new developments of a theoretical or conceptual aspect of marine science. All papers published in this journal are reviewed by qualified peers prior to acceptance and publication. Examples of topics considered to be appropriate for the journal include, but are not limited to, the following:
– The extent, persistence, and consequences of change and the recovery from such change in natural marine systems
– The biochemical, physiological, and ecological consequences of contaminants to marine organisms and ecosystems
– The biogeochemistry of naturally occurring and anthropogenic substances
– Models that describe and predict the above processes
– Monitoring studies, to the extent that their results provide new information on functional processes
– Methodological papers describing improved quantitative techniques for the marine sciences.