{"title":"Accelerated Ocean acidification (1985–2022) threatens tropical coral reefs and highlights biogeochemical refugia for marine conservation","authors":"Shih-Chun Hsiao , Han-Lun Wu , Huei-Shuin Fu , Wei-Bo Chen","doi":"10.1016/j.seares.2025.102612","DOIUrl":"10.1016/j.seares.2025.102612","url":null,"abstract":"<div><div>Ocean acidification (OA) poses a growing threat to tropical coral reef ecosystems, yet the spatiotemporal dynamics of acidification and their implications for conservation remain undercharacterized. Here, we present a comprehensive global assessment of surface ocean carbonate chemistry from 1985 to 2022, using an observation-constrained, neural-network–based CMEMS dataset. We quantify long-term trends, detect structural accelerations, and identify regions of extreme and stable carbonate conditions based on pH, aragonite saturation (Ωₐᵣ), and calcite saturation (Ω<sub>ca</sub>). Piecewise regression analysis reveals significant accelerations in the decline of all three parameters, with breakpoints in the late 1990s (Ωₐᵣ, Ω<sub>ca</sub>) and post-2009 (pH). Spatial trend and <em>Z</em>-score analyses (Z ≤ −2.0) indicate that the Coral Triangle and adjacent Indo-Pacific regions have experienced the most intense acidification exposure, both in trend magnitude and extreme event frequency. Concurrently, we identify chemically stable zones, defined by Ωₐᵣ ≥ 3.0 and Ω<sub>ca</sub> ≥ 1.5, that persist in approximately 12 % of tropical ocean surface waters from 2015 to 2022. Critically, these stable zones show substantial overlap with major coral reef provinces, yet protection gaps remain. In Indonesia, the Philippines, and Papua New Guinea, less than 35 % of coral reef area falls within marine protected areas (MPAs), despite high stable zone prevalence. Our findings highlight an urgent opportunity to integrate carbonate chemistry stability into marine spatial planning. Designating MPAs within these refugial zones offers a climate-informed strategy to sustain coral ecosystem resilience under intensifying anthropogenic CO₂ forcing.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"207 ","pages":"Article 102612"},"PeriodicalIF":2.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144780560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prediction of harmful algal blooms in the Persian Gulf using remote sensing and artificial intelligence modeling","authors":"Mitra Naeimi , Zahra Azizi , Mohammad Seddiq Mortazavi , Seyedeh Laili Mohebbi Nozar , Mojtaba Ezam","doi":"10.1016/j.seares.2025.102619","DOIUrl":"10.1016/j.seares.2025.102619","url":null,"abstract":"<div><div>Harmful algal blooms (HABs) represent a significant environmental and socio-economic threat across the Persian Gulf region, impacting marine ecosystems, public health, and coastal economies. This study shows an advanced predictive pipeline that uses satellite remote sensing data with ensemble Artificial intelligence (AI) modeling to forecast HAB events along the coastlines of Bandar Abbas, Qeshm, and Hormuz. Key environmental variables, including chlorophyll-a concentration, sea surface temperature (SST), and remote sensing reflectance (R<sub>rs</sub>) at wavelengths of 412, 443, 488, 513, and 555 nm, were extracted from MODIS-Aqua imagery, providing a comprehensive depiction of the spatial and temporal variability in the marine environment. We employed a species distribution modeling approach that integrates an ensemble of five machine learning (ML) algorithms—Random Forest (RF), Boosted Regression Trees (BRT), Support Vector Machines (SVM), Multi-Layer Perceptron (MLP), and Radial Basis Function (RBF)—to mitigate the limitations of single-model predictions and enhance forecast reliability. Our modeling framework utilized 1809 confirmed HAB presence observations alongside 13,396 systematically generated pseudo-absence points, with model performance validated through bootstrapping and cross-validation over 713 daily prediction intervals. The ensemble model, formulated via AUC-weighted aggregation of individual predictions, achieved a robust average Area Under the Curve (AUC) of 0.95 and a peak True Skill Statistic (TSS) of 0.85. Specifically, a case study on November 23, 2008, yielded a sensitivity of 96.67 % and specificity of 74.37 %, highlighting the model's proficiency in correctly identifying HAB events. Variable importance plots pinned SST and certain Rrs bands (particularly at 443 and 555 nm) as key predictors, which concurs with established drivers of algal growth. Further, this coupled method not only yields high-resolution spatial and temporal forecasts of bloom events but also refined insight into environmental mechanisms underlying HAB dynamics, informing effective coastal governance and policy making. Collectively, these findings illustrate the promise of combining remote sensing data with ensemble AI methods to create effective early-warning systems and inform targeted management practices for reducing impacts of HABs in the Persian Gulf.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"207 ","pages":"Article 102619"},"PeriodicalIF":2.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Journal of Sea ResearchPub Date : 2025-10-01Epub Date: 2025-08-13DOI: 10.1016/j.seares.2025.102618
Yafang Li , Quehui Tang , Shuangshuang Liu , Lianggen Wang , Jiajia Ning , Lei Xu , Delian Huang , Feiyan Du
{"title":"The diversity and biogeography of macrobenthic fauna in the rocky intertidal zone of islands in the Pearl River estuary: effects of island area, isolation, salinity and human disturbance","authors":"Yafang Li , Quehui Tang , Shuangshuang Liu , Lianggen Wang , Jiajia Ning , Lei Xu , Delian Huang , Feiyan Du","doi":"10.1016/j.seares.2025.102618","DOIUrl":"10.1016/j.seares.2025.102618","url":null,"abstract":"<div><div>The theory of classical island biogeography alone cannot encapsulate the dynamic pattern of island biodiversity, factors such as salinity, and anthropogenic influence and species traits should be considered. Here, islands of varying sizes, degrees of isolation, salinity, and anthropogenic influence from the inner to the outer waters of the Pearl River estuary in China, were selected as the sampling sites. During January to March 2023 (dry season), macrobenthic fauna, comprising various groups with distinct ecological traits, were collected in the rocky intertidal zones. Environmental gradients were derived from long-term salinity, temperature, depth, and dissolved oxygen (DO) records from the Pearl River Estuary ecosystem field station, field measurements of anthropogenic disturbance, and GIS-calculated isolation distances. Island areas were obtained from the Guangdong Province Department of Natural Resources. The findings revealed that the species richness of the total, Molluscs and Annelids fit the power-function species–area relationship, whereas Arthropods did not. The generalized linear models showed a significant negative correlation between anthropogenic disturbances and Arthropod richness. Principal coordination analysis and beta diversity indicated substantial dissimilarities in the spatial structure similarity of communities among islands in this area. The analysis of generalized dissimilarity modeling indicated both environmental gradients and spatial distance could affect the β diversity of macrobenthic fauna. In the upper tidal zone, β diversity was predominantly influenced by geographic distance, while in the middle and lower zones, community composition was shaped by the salinity gradient. The outcomes of this study supports the role of area and spatial isolation in structuring community composition and diversity. However, environmental gradients such as salinity and anthropogenic disturbances may take precedence over other biogeographical processes. The significance of these gradients varies across different groups.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"207 ","pages":"Article 102618"},"PeriodicalIF":2.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144865615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Journal of Sea ResearchPub Date : 2025-10-01Epub Date: 2025-08-18DOI: 10.1016/j.seares.2025.102617
Jihyuk Kim , Hyun-Ki Hong , Byeong-Gweon Lee
{"title":"Synergistic effects of ocean acidification and copper on gamete health and fertilization potential of the Pacific oyster Magallana (Crassostrea) gigas","authors":"Jihyuk Kim , Hyun-Ki Hong , Byeong-Gweon Lee","doi":"10.1016/j.seares.2025.102617","DOIUrl":"10.1016/j.seares.2025.102617","url":null,"abstract":"<div><div>Ocean acidification (OA) and metal pollution pose significant threats to marine ecosystems, particularly in coastal areas. This study investigated the synergistic effects of OA and copper toxicity on Pacific oyster (<em>Magallana gigas</em>) gametes. Spermatozoa and oocytes were exposed to varying <em>p</em>CO<sub>2</sub> levels and copper concentrations for 2 h. Flow cytometry was used to assess cell mortality, reactive oxygen species (ROS) production, and fertilization success. Results showed increased mortality in both sperm and oocytes with rising copper and <em>p</em>CO<sub>2</sub> levels, with sperm exhibiting higher sensitivity. ROS production in gametes displayed complex patterns, suggesting adaptive responses at lower copper concentrations and potential cell death at higher levels. Fertilization success decreased significantly at lower pH combined with higher copper concentrations (> 10 μg Cu/L). These findings demonstrate that OA exacerbates copper toxicity in <em>M. gigas</em> gametes through interactive effects, highlighting the need to consider multiple stressors when assessing pollutant impacts on coastal ecosystems.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"207 ","pages":"Article 102617"},"PeriodicalIF":2.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144865616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Journal of Sea ResearchPub Date : 2025-10-01Epub Date: 2025-08-18DOI: 10.1016/j.seares.2025.102615
Abu Hena Muhammad Yousuf, Mosa. Tania Alim Shampa, MD. Niamul Hasan Rifat, Sahadat Habib
{"title":"Microplastics in the Bay of Bengal: A critical review of bioaccumulation and ecological impacts across Bangladesh","authors":"Abu Hena Muhammad Yousuf, Mosa. Tania Alim Shampa, MD. Niamul Hasan Rifat, Sahadat Habib","doi":"10.1016/j.seares.2025.102615","DOIUrl":"10.1016/j.seares.2025.102615","url":null,"abstract":"<div><div>Microplastics (MPs) exert a substantial threat to marine ecosystems, including the Bay of Bengal (BoB), due to their widespread presence and high potential for bioaccumulation in marine biota. This review aims to provide a comprehensive analysis of the bioaccumulation of MPs, their prevalence, and the potential pathways for these contaminants in the BoB. By systematically reviewing existing literature, we analyzed relevant studies and identified key findings. MPs were detected in various marine organisms, including finfish, shellfish, and plankton in the BoB. Demersal species were found to ingest more MPs than pelagic species, likely due to their proximity to MP-laden sediments. The concentration of MPs varied with body weight and length, with some species showing a positive correlation, while others exhibited a negative correlation. MP particle sizes ranged from <500 μm to 1000 μm, with black particles, fibers, and fragments being the most common forms. Polyethylene (PE) and polypropylene (PP) were identified as the dominant polymers. Major sources of MP pollution in the BoB include fisheries, industrial and sewage discharge, tourism, and agricultural runoff. The review also highlights the ecological implications of their accumulation and the potential health risks to humans through the consumption of contaminated seafood. Lack of information on deep-sea and cultured species, trophic transfer, and standard methods are some of the most important shortcomings. Researchers should use more advanced methods of discovery in future studies and look into the long-term effects on health and the environment. To reduce MP pollution in the BoB, policymakers should work on reducing the use of plastic, making waste management better, and walking biodegradable alternatives.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"207 ","pages":"Article 102615"},"PeriodicalIF":2.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144885468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Journal of Sea ResearchPub Date : 2025-10-01Epub Date: 2025-08-18DOI: 10.1016/j.seares.2025.102609
Zixin Feng, Qiang Gao, Runping Zhang
{"title":"The impact of marine industrial agglomeration on marine economic resilience—A case study of China's coastal areas","authors":"Zixin Feng, Qiang Gao, Runping Zhang","doi":"10.1016/j.seares.2025.102609","DOIUrl":"10.1016/j.seares.2025.102609","url":null,"abstract":"<div><div>In the current complex domestic and international environment, marine economic resilience has become one of the basic guarantees for whether the marine economy can achieve high-quality development. At the same time, the development of the marine industry in coastal areas is undergoing rapid development and showing a trend of agglomeration, providing an unprecedented opportunity to increase marine economic resilience. Thus, the impact of marine industrial agglomeration on marine economic resilience deserves further investigation. This study takes 11 coastal provinces and cities in China as an example. First, marine economic resilience is divided into three subsystems: resistance ability, recovery ability, and evolution ability, and evaluated by several methods. Second, this study uses empirical methods to analyse the impact of marine industrial agglomeration on economic resilience and its influencing mechanism. The results show that: (1) Marine industrial agglomeration can significantly increase marine economic resilience. (2) Marine industrial agglomeration increases marine economic resilience through scale effects and spillover effects, and the impact of division of labor effects on marine economic resilience has a single threshold effect. (3) The impact of marine industrial agglomeration on marine economic resilience has significant spatial heterogeneity. Our study can enrich the research in this field and provide reference for the development of marine industry and marine economy in coastal areas.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"207 ","pages":"Article 102609"},"PeriodicalIF":2.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144895505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Journal of Sea ResearchPub Date : 2025-10-01Epub Date: 2025-08-08DOI: 10.1016/j.seares.2025.102607
Ming Wang, Zhijia Tan, Xiaofeng Zhang
{"title":"Improving the resilience of inland waterway freight consolidation during disruptions through subsidies","authors":"Ming Wang, Zhijia Tan, Xiaofeng Zhang","doi":"10.1016/j.seares.2025.102607","DOIUrl":"10.1016/j.seares.2025.102607","url":null,"abstract":"<div><div>This study addresses the critical challenge of enhancing inland waterway transport (IWT) resilience during disruptions, particularly considering imperfect shipper information. It proposes a dual subsidy mechanism targeting shippers and carriers to improve freight consolidation patterns. A bi-level programming model is formulated to determine optimal subsidies that encourage shippers to select optimal ports for cargo consolidation, aiming to minimize government expenditure while restoring system efficiency. The model, dealing with continuous shipper distribution, is discretized using the Finite Element Method to manage its complexity. To solve this intricate problem, a heuristic algorithm is developed. A comprehensive case study on the Yangtze River Economic Belt demonstrates the efficacy of the proposed freight consolidation subsidy mechanism. Results indicate mitigation of congestion during demand surges and effective adjustment of freight consolidation during compound disruptions, such as concurrent port and road network failures.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"207 ","pages":"Article 102607"},"PeriodicalIF":2.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"pH acidification in the Red Sea: A machine learning-based validation study","authors":"Duygu Odabaş Alver , Hakan Işık , Selda Palabıyık , Buse Eraslan Akkan , Tamer Akkan","doi":"10.1016/j.seares.2025.102613","DOIUrl":"10.1016/j.seares.2025.102613","url":null,"abstract":"<div><div>This study presents application and performance comparison of various machine learning (ML) techniques to analyze pH variations in the Red Sea between the years 2021 and 2024, utilizing satellite remote sensing from the Copernicus Programme. The accuracy of the model is enhanced by employing data preprocessing. The performance of a number of machine learning models (Stepwise Linear Regression, Gaussian Process Regression, Linear Regression, Support Vector Machines and Neural Networks) are assessed. The results shown that the highest predictive accuracy is achieved by Stepwise Linear Regression and Linear Regression models. These models found to be superior in predicting pH changes due to seasonal phytoplankton blooms, vertical mixing of waters, and CO₂ infusion from the atmosphere accurately. Therefore, this research proposes a comprehensive approach for evaluating long-term changes in pH levels using robust data, improving strategic environmental governance in marine ecosystems. ML-based algorithms offer more integrated, cost-effective, and scalable solutions for monitoring ocean acidification, outperforming traditional approaches in both efficiency and adaptability.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"207 ","pages":"Article 102613"},"PeriodicalIF":2.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144865614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Journal of Sea ResearchPub Date : 2025-10-01Epub Date: 2025-09-04DOI: 10.1016/j.seares.2025.102624
Si Jin Gwak , Sang Lyeol Kim , Hyung Gon Lee , Seung Won Jung , Ok Hwan Yu
{"title":"Recruitment and succession patterns of macroinvertebrates attached to expanded polystyrene marine plastic debris surfaces","authors":"Si Jin Gwak , Sang Lyeol Kim , Hyung Gon Lee , Seung Won Jung , Ok Hwan Yu","doi":"10.1016/j.seares.2025.102624","DOIUrl":"10.1016/j.seares.2025.102624","url":null,"abstract":"<div><div>Plastic production has been steadily increasing worldwide; however, research on the ecological impacts of expanded polystyrene (EPS) products commonly used in marine fishing activities remains limited. This study investigated the recruitment and succession patterns of macroinvertebrates colonizing the surface of expanded polystyrene buoys, aiming to understand community changes and provide insights for future marine plastic debris (MPD) management. Fouling macroinvertebrates were sampled monthly from expanded polystyrene surfaces in Jangmok Harbor using a scraper between March 2022 and March 2023. In a recruitment experiment, new expanded polystyrene buoys were deployed monthly; in a succession experiment, 12 expanded polystyrene buoys were deployed simultaneously, and in each experiment, three buoys ware retrieved every month during the study period. A total of 39 species were identified on expanded polystyrene surfaces, with a density of 10,177.4 ind./7.6 m<sup>2</sup>, biomass of 1059.1 g/m<sup>2</sup>, and a diversity of 0.7. The dominant species were Mollusca <em>Mytilus galloprovincialis</em> (40.8 %), Cnidaria <em>Actinia equina</em> (29.1 %). The recruitment experiment showed seasonal variation in species richness, abundance, biomass, and diversity. The succession experiment demonstrated clear differences in community structure each month until a stable community began to form at 5 months after buoy deployment. Notably, two introduced species (Arthropoda <em>Amphibalanus amphitrite</em> and Annelida <em>Hydroides elegans</em>) settled on our expanded polystyrene buoys 1–2 months earlier than observed in previous studies. Together, this result demonstrate that expanded polystyrene buoys can function as habitats and dispersal vectors for opportunistic and introduced macroinvertebrates, potentially driving ecological disturbance in marine ecosystems.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"207 ","pages":"Article 102624"},"PeriodicalIF":2.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial tidepools promote marine diversity on Dutch sea-dikes","authors":"Britas Klemens Eriksson , Johanna Catharina Rippen , Martje Birker-Wegter , Benja Blaschke , Anne-Mare Branderhorst , Jordis Dörfler , Pieter van Essen , Lars Gehin , Jet Hiltermann , Tolga Finn Kucuk , Aveline Meekhof , Leah Merlijn , Marit Nygård , Sanne Puister , Meander Tijsseling , Denise Vaas , Bente Wittendorp , Lucía Irazábal-González","doi":"10.1016/j.seares.2025.102620","DOIUrl":"10.1016/j.seares.2025.102620","url":null,"abstract":"<div><div>Marine construction homogenise coastal ecosystems by replacing a diverse array of shoreline habitats with artificial hard structures, such as seawalls and jetties. Climate adaptation will further increase shoreline hardening, posing an additional threat to coastal biodiversity. We therefore addressed the urgent need for practically oriented research on how to best promote marine biodiversity on different types of artificial substrates by testing the effects of enriching a Dutch sea-dike with artificial tidepools. For three years we monitored the development of different functional groups of sessile organisms on three different types of tidepools that were added in six clusters to the existing boulder base of a sea-dike. The artificial tidepools developed diverse sessile communities that included the common groups barnacles, green algae, bladderwrack, mussels and oysters; but also unique species groups, such as anemones, hydroids, red algae and colonial diatoms, that were otherwise absent or very rare on the sea-dike. Consequently, after three years, the taxonomic diversity of benthic organisms were 50 % higher in the artificial tidepools than on comparable rock habitats on the sea-dike, and the tidepool communities were more different from each other than from the other habitats on the dike. We demonstrate that artificial tidepools can play an important role in management interventions to increase habitat heterogeneity and bolster marine biodiversity on artificial substrates.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"207 ","pages":"Article 102620"},"PeriodicalIF":2.9,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}