Journal of Sea Research最新文献

英文中文

The effect of new quality productivity on port sustainability: Evidence from China

IF 2.1 4区地球科学 Q2 MARINE & FRESHWATER BIOLOGY

Journal of Sea Research

Pub Date : 2025-03-05 DOI: 10.1016/j.seares.2025.102575

Jiayun Nie, Jia Shen , Yuting Chen

The development of new quality productivity (NQP) provides fresh impetus and potential for the sustainable development of ports. Utilizing panel data from 44 coastal ports and their respective municipal administrative regions spanning from 2010 to 2021, this study empirically analyzes the impact of NQP on port sustainability and further examines the underlying mechanisms and heterogeneity of its effects. The findings reveal that an increase in NQP significantly enhances port sustainability. The results of mechanism tests indicate that heightened NQP fosters port sustainability by adjusting industrial structures and elevating urban green innovation levels, with the public's digital attention playing a positive moderating role. Heterogeneity analysis demonstrates that the promotional effect of NQP on port sustainability is stronger in city samples characterized by better business environments, superior soft environments, lower business costs, and those dominated by the secondary industry. This study elucidates the significance of NQP in fostering the sustainable development of ports, thereby providing policymakers with a robust foundation for optimizing port development strategies and enhancing sustainable capacity.

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引用次数: 0

Short- and long-term tidal level forecasting: A novel hybrid TCN + LSTM framework

IF 2.1 4区地球科学 Q2 MARINE & FRESHWATER BIOLOGY

Journal of Sea Research

Pub Date : 2025-03-01 DOI: 10.1016/j.seares.2025.102577

Abdulrazak H. Almaliki , Afaq Khattak

Tidal level forecasting is essential for maritime safety, coastal management, and infrastructure planning. This study proposes a hybrid framework combining Temporal Convolutional Network (TCN) and Long Short-Term Memory (LSTM) model to predict tidal levels across short- and long-term horizons. The TCN excels at capturing temporal patterns, while the LSTM effectively models sequential dependencies, facilitating accurate forecasting of tidal fluctuations. Covariance Matrix Adaptation Evolution Strategy (CMA-ES) was used for hyperparameter tuning of both TCN and LSTM component of hybrid framework. Historical tidal data from Ras Tanura (2012−2021) was utilized for training and evaluation. The analysis revealed that the hybrid TCN + LSTM framework optimized via CMA-ES outperformed other deep learning models, including standalone LSTM, GRU, and CNN, demonstrating enhanced accuracy and reliability across various forecasting horizons. For short-term predictions (T + 5 and T + 10 days), it achieved MAE values of 0.073 and 0.081, with MAPE values of 7.43 % and 9.15 %, respectively. For longer-term horizons (T + 30 and T + 60 days), it maintained accuracy with MAE values of 0.050 and 0.054 and corresponding MAPE values of 5.39 % and 4.93 %. The study demonstrates the potential of the hybrid TCN + LSTM framework for reliable tidal level forecasting, supporting better planning and decision-making in coastal and maritime applications.

{"title":"Short- and long-term tidal level forecasting: A novel hybrid TCN + LSTM framework","authors":"Abdulrazak H. Almaliki , Afaq Khattak","doi":"10.1016/j.seares.2025.102577","DOIUrl":"10.1016/j.seares.2025.102577","url":null,"abstract":"<div><div>Tidal level forecasting is essential for maritime safety, coastal management, and infrastructure planning. This study proposes a hybrid framework combining Temporal Convolutional Network (TCN) and Long Short-Term Memory (LSTM) model to predict tidal levels across short- and long-term horizons. The TCN excels at capturing temporal patterns, while the LSTM effectively models sequential dependencies, facilitating accurate forecasting of tidal fluctuations. Covariance Matrix Adaptation Evolution Strategy (CMA-ES) was used for hyperparameter tuning of both TCN and LSTM component of hybrid framework. Historical tidal data from Ras Tanura (2012−2021) was utilized for training and evaluation. The analysis revealed that the hybrid TCN + LSTM framework optimized via CMA-ES outperformed other deep learning models, including standalone LSTM, GRU, and CNN, demonstrating enhanced accuracy and reliability across various forecasting horizons. For short-term predictions (T + 5 and T + 10 days), it achieved MAE values of 0.073 and 0.081, with MAPE values of 7.43 % and 9.15 %, respectively. For longer-term horizons (T + 30 and T + 60 days), it maintained accuracy with MAE values of 0.050 and 0.054 and corresponding MAPE values of 5.39 % and 4.93 %. The study demonstrates the potential of the hybrid TCN + LSTM framework for reliable tidal level forecasting, supporting better planning and decision-making in coastal and maritime applications.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"204 ","pages":"Article 102577"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding the shift in bacterial community structure in response to antibiotic pollution and rise in antibiotic resistant genes within Dapeng Cove sea, China

IF 2.1 4区地球科学 Q2 MARINE & FRESHWATER BIOLOGY

Journal of Sea Research

Pub Date : 2025-02-27 DOI: 10.1016/j.seares.2025.102576

Feng Yan , Zhiguang Niu

Antibiotic pollution in marine environments poses a growing threat to ecosystem health and biodiversity. This study evaluated the shift in bacterial community structure in response to antibiotic pollution and rise in antibiotic resistant genes within the ecologically significant Dapeng Cove, Southeast China. Utilizing molecular analysis and bioinformatics, the study examined bacterial community structures, antibiotic concentrations, and the distribution of antibiotic resistance genes (ARGs) across 5 sites (A, B, C, D and E) within the Dapeng Cove sea, China. The findings revealed significant variations in bacterial diversity and ARG concentrations among sampling sites, with elevated antibiotic pollution at sites D and E correlating with reduced alpha diversity and dominance of resistant taxa such as Umbonibacter species. In contrast, site B exhibited lower antibiotic levels and higher microbial diversity, suggesting the resilience of less impacted ecosystems. ARGs, including intl1, sul1, and tetA, were most prevalent in heavily polluted sites, reflecting the role of antibiotic contamination in promoting horizontal gene transfer and resistance proliferation. Exposure to antibiotic pollution e further disrupted coral-associated bacterial communities, highlighting the vulnerability of marine ecosystems antibiotic pollution. This study provides critical insights into the interplay between antibiotic pollution, microbial ecology, and coral health, offering a foundation for policies addressing the environmental impacts of pharmaceutical contaminants.

{"title":"Understanding the shift in bacterial community structure in response to antibiotic pollution and rise in antibiotic resistant genes within Dapeng Cove sea, China","authors":"Feng Yan , Zhiguang Niu","doi":"10.1016/j.seares.2025.102576","DOIUrl":"10.1016/j.seares.2025.102576","url":null,"abstract":"<div><div>Antibiotic pollution in marine environments poses a growing threat to ecosystem health and biodiversity. This study evaluated the shift in bacterial community structure in response to antibiotic pollution and rise in antibiotic resistant genes within the ecologically significant Dapeng Cove, Southeast China. Utilizing molecular analysis and bioinformatics, the study examined bacterial community structures, antibiotic concentrations, and the distribution of antibiotic resistance genes (ARGs) across 5 sites (A, B, C, D and E) within the Dapeng Cove sea, China. The findings revealed significant variations in bacterial diversity and ARG concentrations among sampling sites, with elevated antibiotic pollution at sites D and E correlating with reduced alpha diversity and dominance of resistant taxa such as <em>Umbonibacter species</em>. In contrast, site B exhibited lower antibiotic levels and higher microbial diversity, suggesting the resilience of less impacted ecosystems. ARGs, including intl1, sul1, and tetA, were most prevalent in heavily polluted sites, reflecting the role of antibiotic contamination in promoting horizontal gene transfer and resistance proliferation. Exposure to antibiotic pollution e further disrupted coral-associated bacterial communities, highlighting the vulnerability of marine ecosystems antibiotic pollution. This study provides critical insights into the interplay between antibiotic pollution, microbial ecology, and coral health, offering a foundation for policies addressing the environmental impacts of pharmaceutical contaminants.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"204 ","pages":"Article 102576"},"PeriodicalIF":2.1,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Photo-id as an alternative to monitor marine turtles in the Gulf of Venezuela

IF 2.1 4区地球科学 Q2 MARINE & FRESHWATER BIOLOGY

Journal of Sea Research

Pub Date : 2025-02-14 DOI: 10.1016/j.seares.2025.102574

María Gabriela Sandoval , Héctor Barrios-Garrido

Conservation management programs have used diverse methods to monitor populations of threatened species that vary in effectiveness, duration, and costs; making its implementation a challenge. The present study was carried out to test the use of photo-identification as an economical and efficient alternative for marine turtle monitoring in the Gulf of Venezuela. The implementation of this protocol is possible due to the unique and unrepeatable facial scales pattern of individuals in the marine turtles. We created a database of photo-identifiable profiles available from records of turtles captured, tagged, and released in the Gulf of Venezuela from 2000 to 2017 (n = 118). Likewise, we used two photo-matching software (I³S Pattern and Nature Pattern Match) to optimize the process of compatibility of individuals and we evaluated their efficiency in comparison with the non-assisted manual method (“by human eye” or “by naked eye”). We found that I³S Pattern was more effective during the matching process than NPM (90 % and 65 % accuracy respectively), while the manual method was much more accurate than the software. However, the former method is impractical when working with large databases. Our results indicate that I³S Pattern represents the most efficient software of image matching by reducing the time needed and simplifying the manual “by human eye” analysis. We recommend incorporating more photos in the database in order to verify the effectiveness of both studied software, and regularly to corroborate the results generated by the software assessed on this research using the “human eye” manual method.

{"title":"Photo-id as an alternative to monitor marine turtles in the Gulf of Venezuela","authors":"María Gabriela Sandoval , Héctor Barrios-Garrido","doi":"10.1016/j.seares.2025.102574","DOIUrl":"10.1016/j.seares.2025.102574","url":null,"abstract":"<div><div>Conservation management programs have used diverse methods to monitor populations of threatened species that vary in effectiveness, duration, and costs; making its implementation a challenge. The present study was carried out to test the use of photo-identification as an economical and efficient alternative for marine turtle monitoring in the Gulf of Venezuela. The implementation of this protocol is possible due to the unique and unrepeatable facial scales pattern of individuals in the marine turtles. We created a database of photo-identifiable profiles available from records of turtles captured, tagged, and released in the Gulf of Venezuela from 2000 to 2017 (<em>n</em> = 118). Likewise, we used two photo-matching software (I<sup>3</sup>S Pattern and Nature Pattern Match) to optimize the process of compatibility of individuals and we evaluated their efficiency in comparison with the non-assisted manual method (“by human eye” or “by naked eye”). We found that I<sup>3</sup>S Pattern was more effective during the matching process than NPM (90 % and 65 % accuracy respectively), while the manual method was much more accurate than the software. However, the former method is impractical when working with large databases. Our results indicate that I<sup>3</sup>S Pattern represents the most efficient software of image matching by reducing the time needed and simplifying the manual “by human eye” analysis. We recommend incorporating more photos in the database in order to verify the effectiveness of both studied software, and regularly to corroborate the results generated by the software assessed on this research using the “human eye” manual method.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"204 ","pages":"Article 102574"},"PeriodicalIF":2.1,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The brown alga Rugulopteryx okamurae: Insights into epifaunal diversity across marginal populations in Gran Canaria

IF 2.1 4区地球科学 Q2 MARINE & FRESHWATER BIOLOGY

Journal of Sea Research

Pub Date : 2025-02-13 DOI: 10.1016/j.seares.2025.102571

Mónica Martín Jiménez, Rodrigo Riera

Biological invasions pose significant threats to biodiversity, primarily through the depletion of natural resources and the disruption of local ecosystems. Our study focuses on Rugulopteryx okamurae (E. Y. Dawson) I·K. Hwang, W.J. Lee, and H.S. Kim, an invasive alga proliferating in the Macaronesia and Mediterranean regions. This research examines the epifaunal assemblages associated with R. okamurae across eastern and northeastern zones in Gran Canaria, Canary Islands. A total of 11,398 individuals from 63 species within five taxonomic groups were collected, with Arthropoda dominating the samples (88.68 % of the overall abundance), particularly the amphipods Apohyale perieri and A. stebbingi. Significant differences in species richness and individual abundance were observed between populations from San Cristóbal, Jinámar and Ojos de Garza. The central populations exhibited the highest species richness, while the northern populations showed the lowest. Multivariate analyses revealed distinct community compositions between the edge and central populations, underscoring the invasive alga's capacity to support diverse and abundant epifaunal assemblages. Moreover, R. okamurae demonstrated remarkable dominance in the study area, achieving total coverage of up to 100 % at certain sampling sites. This extensive coverage highlights the alga's ability to sustain a rich and varied epifaunal community, characterized by both species abundance and high biodiversity. The findings emphasize the need for targeted conservation and management strategies to mitigate the spread of R. okamurae and protect local biodiversity from further disruption.

{"title":"The brown alga Rugulopteryx okamurae: Insights into epifaunal diversity across marginal populations in Gran Canaria","authors":"Mónica Martín Jiménez, Rodrigo Riera","doi":"10.1016/j.seares.2025.102571","DOIUrl":"10.1016/j.seares.2025.102571","url":null,"abstract":"<div><div>Biological invasions pose significant threats to biodiversity, primarily through the depletion of natural resources and the disruption of local ecosystems. Our study focuses on <em>Rugulopteryx okamurae</em> (E. Y. Dawson) I·K. Hwang, W.J. Lee, and H.S. Kim, an invasive alga proliferating in the Macaronesia and Mediterranean regions. This research examines the epifaunal assemblages associated with <em>R. okamurae</em> across eastern and northeastern zones in Gran Canaria, Canary Islands. A total of 11,398 individuals from 63 species within five taxonomic groups were collected, with Arthropoda dominating the samples (88.68 % of the overall abundance), particularly the amphipods <em>Apohyale perieri</em> and <em>A. stebbingi</em>. Significant differences in species richness and individual abundance were observed between populations from San Cristóbal, Jinámar and Ojos de Garza. The central populations exhibited the highest species richness, while the northern populations showed the lowest. Multivariate analyses revealed distinct community compositions between the edge and central populations, underscoring the invasive alga's capacity to support diverse and abundant epifaunal assemblages. Moreover, <em>R. okamurae</em> demonstrated remarkable dominance in the study area, achieving total coverage of up to 100 % at certain sampling sites. This extensive coverage highlights the alga's ability to sustain a rich and varied epifaunal community, characterized by both species abundance and high biodiversity. The findings emphasize the need for targeted conservation and management strategies to mitigate the spread of <em>R. okamurae</em> and protect local biodiversity from further disruption.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"204 ","pages":"Article 102571"},"PeriodicalIF":2.1,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Long-term biogeochemical variations in the southern South China Sea and adjacent seas: A model data analysis

IF 2.1 4区地球科学 Q2 MARINE & FRESHWATER BIOLOGY

Journal of Sea Research

Pub Date : 2025-02-13 DOI: 10.1016/j.seares.2025.102573

Winfred Marshal , Nur Hidayah Roseli , Roswati Md Amin , Mohd Fadzil Bin Mohd Akhir

The southern portion of the South China Sea (SCS), which constitutes the largest semi-enclosed marginal sea in Southeast Asia, is currently undergoing unusual surface warming, which may significantly impact its marine ecosystems. This study examines the long-term variations of biogeochemistry in the southern SCS and its adjacent seas from 1993 to 2020, using data from the Copernicus Marine Environment Monitoring Service (CMEMS) model to better understand the implications of these warming trends on nutrient dynamics and overall marine health. Analysis of interannual variations highlights a strong relationship between sea surface temperature (SST) anomalies and the occurrence of El Niño-Southern Oscillation and Indian Ocean Dipole events, leading to significant alterations in biogeochemistry in the southern SCS. These findings emphasize the sensitivity of biogeochemistry to climatic variability. Over the study period, a region-wide increasing SST trend (0.2 °C per decade) indicates the influence of climate change, while surface Chlorophyll concentration and Phytoplankton biomass show decreasing trends, suggesting potential shifts in primary productivity. Additionally, surface Dissolved Oxygen and pH levels have significantly declined, pointing to broader impacts on ocean health. These observed declining trends in biogeochemical variables are particularly pronounced in the southeastern Vietnam, East Coast of Peninsular Malaysia, and Java Sea regions, which are primarily driven by significant changes in SST and related wind patterns. The weakening of summer southwesterly winds and winter northeasterly winds, evidenced by linear trends in wind stress, has reduced nutrient supply through upwelling and decreased ocean heat loss, respectively. This disruption exacerbates surface ocean warming and limits the replenishment of essential nutrients, leading to diminished primary productivity and altering marine ecosystem dynamics. This study provides valuable insights into present biogeochemical trends under climate change, forming a crucial basis for future projection studies in this region.

{"title":"Long-term biogeochemical variations in the southern South China Sea and adjacent seas: A model data analysis","authors":"Winfred Marshal , Nur Hidayah Roseli , Roswati Md Amin , Mohd Fadzil Bin Mohd Akhir","doi":"10.1016/j.seares.2025.102573","DOIUrl":"10.1016/j.seares.2025.102573","url":null,"abstract":"<div><div>The southern portion of the South China Sea (SCS), which constitutes the largest semi-enclosed marginal sea in Southeast Asia, is currently undergoing unusual surface warming, which may significantly impact its marine ecosystems. This study examines the long-term variations of biogeochemistry in the southern SCS and its adjacent seas from 1993 to 2020, using data from the Copernicus Marine Environment Monitoring Service (CMEMS) model to better understand the implications of these warming trends on nutrient dynamics and overall marine health. Analysis of interannual variations highlights a strong relationship between sea surface temperature (SST) anomalies and the occurrence of El Niño-Southern Oscillation and Indian Ocean Dipole events, leading to significant alterations in biogeochemistry in the southern SCS. These findings emphasize the sensitivity of biogeochemistry to climatic variability. Over the study period, a region-wide increasing SST trend (0.2 °C per decade) indicates the influence of climate change, while surface Chlorophyll concentration and Phytoplankton biomass show decreasing trends, suggesting potential shifts in primary productivity. Additionally, surface Dissolved Oxygen and pH levels have significantly declined, pointing to broader impacts on ocean health. These observed declining trends in biogeochemical variables are particularly pronounced in the southeastern Vietnam, East Coast of Peninsular Malaysia, and Java Sea regions, which are primarily driven by significant changes in SST and related wind patterns. The weakening of summer southwesterly winds and winter northeasterly winds, evidenced by linear trends in wind stress, has reduced nutrient supply through upwelling and decreased ocean heat loss, respectively. This disruption exacerbates surface ocean warming and limits the replenishment of essential nutrients, leading to diminished primary productivity and altering marine ecosystem dynamics. This study provides valuable insights into present biogeochemical trends under climate change, forming a crucial basis for future projection studies in this region.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"204 ","pages":"Article 102573"},"PeriodicalIF":2.1,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tidally driven porewater exchange and the key affecting factors in mangroves in the Pearl River Estuary, China

IF 2.1 4区地球科学 Q2 MARINE & FRESHWATER BIOLOGY

Journal of Sea Research

Pub Date : 2025-02-12 DOI: 10.1016/j.seares.2025.102572

Ziying He , Lili Zhao , Xueyin Zhuang , Ying Zeng , Bowen Hu , Xiaoli Yu , Jin Liang , Yisheng Peng , Zhonghan Chen

Mangroves are important ecosystems that mediate the movement of organic matter and nutrients from land to the ocean via tidally driven porewater exchange. In the present study, we quantified porewater exchange rates in three 12-year-old Sonneratia apetala plantations distributed along the Pearl River Estuary in southern China by monitoring ²²²Rn in situ during the wet and dry seasons and by measuring the correlations between the porewater exchange rates and the mangrove plantation conditions. The ²²²Rn-derived porewater exchange rates were 385.1–1286.0 Bq m⁻² h⁻¹ in the wet season and 380.6–498.4 Bq m⁻² h⁻¹ in the dry season, which is higher than previous studies. Therefore, it is necessary to sample and monitor within the mangrove forests, or the porewater exchange should be underestimated because of the ignored richer crab burrows. Sediment pH, salinity, and surface water pH had significant relationships with the porewater exchange rate. These results revealed that porewater exchange had seasonal and spatial variation in mangroves and that pH and salinity were the major regulators of mangrove porewater physical exchange.

{"title":"Tidally driven porewater exchange and the key affecting factors in mangroves in the Pearl River Estuary, China","authors":"Ziying He , Lili Zhao , Xueyin Zhuang , Ying Zeng , Bowen Hu , Xiaoli Yu , Jin Liang , Yisheng Peng , Zhonghan Chen","doi":"10.1016/j.seares.2025.102572","DOIUrl":"10.1016/j.seares.2025.102572","url":null,"abstract":"<div><div>Mangroves are important ecosystems that mediate the movement of organic matter and nutrients from land to the ocean via tidally driven porewater exchange. In the present study, we quantified porewater exchange rates in three 12-year-old <em>Sonneratia apetala</em> plantations distributed along the Pearl River Estuary in southern China by monitoring <sup>222</sup>Rn in situ during the wet and dry seasons and by measuring the correlations between the porewater exchange rates and the mangrove plantation conditions. The <sup>222</sup>Rn-derived porewater exchange rates were 385.1–1286.0 Bq m<sup>−2</sup> h<sup>−1</sup> in the wet season and 380.6–498.4 Bq m<sup>−2</sup> h<sup>−1</sup> in the dry season, which is higher than previous studies. Therefore, it is necessary to sample and monitor within the mangrove forests, or the porewater exchange should be underestimated because of the ignored richer crab burrows. Sediment pH, salinity, and surface water pH had significant relationships with the porewater exchange rate. These results revealed that porewater exchange had seasonal and spatial variation in mangroves and that pH and salinity were the major regulators of mangrove porewater physical exchange.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"204 ","pages":"Article 102572"},"PeriodicalIF":2.1,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial and temporal changes of water environmental factors and water quality assessment in coastal waters of Jiangsu Province

IF 2.1 4区地球科学 Q2 MARINE & FRESHWATER BIOLOGY

Journal of Sea Research

Pub Date : 2025-02-08 DOI: 10.1016/j.seares.2025.102570

Zhihao Tang, Yuhan Cao, Qingfeng Jiang

This study aims to explore the temporal and spatial changes in water environmental factors and seawater quality in the near-shore waters of Jiangsu Province. From 2017 to 2023, the single-factor evaluation method and the comprehensive pollution index evaluation method were employed to assess water environmental factors and water quality, and the correlations between water ecological factors were analyzed. The results indicated that the overall levels of dissolved oxygen (DO), chemical oxygen demand (COD), and petroleum were satisfactory. The pollution levels of the main pollutants, inorganic nitrogen (IN) and reactive phosphate (RP), showed a downward trend, and the overall water quality improved after 2019. There was a significant positive correlation between IN and RP, suggesting they might share the same source. In terms of spatial distribution, each factor exhibited certain regularities: DO was higher in the north than in the south; the pH value was higher in the north and south than in the central area; the concentrations of IN and petroleum were higher near the shore; COD was higher in the northern and near-shore regions; and RP was more concentrated in the central and near-shore areas. Moreover, research revealed that seawater quality was influenced by various factors, including natural and human-induced ones. As a unique phenomenon in the Yellow Sea waters, green tides had a disruptive effect on the content changes of water quality factors during their formation and disappearance in different years, particularly on DO. Special events such as coastal industries, the COVID-19 pandemic, and marine projects affected the discharge and input of pollutants. Policies implemented in different periods were crucial for optimizing water quality.

{"title":"Spatial and temporal changes of water environmental factors and water quality assessment in coastal waters of Jiangsu Province","authors":"Zhihao Tang, Yuhan Cao, Qingfeng Jiang","doi":"10.1016/j.seares.2025.102570","DOIUrl":"10.1016/j.seares.2025.102570","url":null,"abstract":"<div><div>This study aims to explore the temporal and spatial changes in water environmental factors and seawater quality in the near-shore waters of Jiangsu Province. From 2017 to 2023, the single-factor evaluation method and the comprehensive pollution index evaluation method were employed to assess water environmental factors and water quality, and the correlations between water ecological factors were analyzed. The results indicated that the overall levels of dissolved oxygen (DO), chemical oxygen demand (COD), and petroleum were satisfactory. The pollution levels of the main pollutants, inorganic nitrogen (IN) and reactive phosphate (RP), showed a downward trend, and the overall water quality improved after 2019. There was a significant positive correlation between IN and RP, suggesting they might share the same source. In terms of spatial distribution, each factor exhibited certain regularities: DO was higher in the north than in the south; the pH value was higher in the north and south than in the central area; the concentrations of IN and petroleum were higher near the shore; COD was higher in the northern and near-shore regions; and RP was more concentrated in the central and near-shore areas. Moreover, research revealed that seawater quality was influenced by various factors, including natural and human-induced ones. As a unique phenomenon in the Yellow Sea waters, green tides had a disruptive effect on the content changes of water quality factors during their formation and disappearance in different years, particularly on DO. Special events such as coastal industries, the COVID-19 pandemic, and marine projects affected the discharge and input of pollutants. Policies implemented in different periods were crucial for optimizing water quality.</div></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":"204 ","pages":"Article 102570"},"PeriodicalIF":2.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How the invasive algae Rugulopteryx okamurae affect coastal biodiversity? Insights from coastal fish communities of gran Canaria (NE Atlantic Ocean)

IF 2.1 4区地球科学 Q2 MARINE & FRESHWATER BIOLOGY

Journal of Sea Research

Pub Date : 2025-02-03 DOI: 10.1016/j.seares.2025.102568

Xavier Bachot, Rodrigo Riera

Biological invasions present significant threats to global biodiversity and ecosystem functioning. The introduction of invasive species can lead to ecosystem homogenization, altering community dynamics and negatively impacting native species and habitats. Rugulopteryx okamurae, a brown seaweed native to the Northwest Pacific, has rapidly invaded marine ecosystems in Europe, transforming coastal habitats. This study examines the impact of R. okamurae on fish communities across different zones of Gran Canaria, with a particular focus on the invasion gradient. We observed significant variations in fish species abundance and richness across sites, with a noticeable trend towards reduced diversity and a higher prevalence of opportunistic species in areas heavily invaded by R. okamurae. The invasion gradient, rather than typical edge effects, appeared to play a more substantial role in shaping community structure, suggesting that the pervasive spread of R. okamurae leads to habitat homogenization. Ongoing monitoring and adaptive management strategies are crucial to fully understand and mitigate the impacts of R. okamurae on marine biodiversity in Gran Canaria.

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The impacts of natural marine disasters on shipping industry in China: An event study

IF 2.1 4区地球科学 Q2 MARINE & FRESHWATER BIOLOGY

Journal of Sea Research

Pub Date : 2025-02-02 DOI: 10.1016/j.seares.2025.102569

Fan Zeng, Chuan Pang, Huajun Tang

Currently, global warming leads to a notable increase in natural marine disasters. It is imperative that the academic community undertake a quantitative assessment of the impacts of natural marine disasters on shipping industry in China. The event study revealed that natural marine disasters lead to negative abnormal trading volume and abnormal stock returns for the Chinese shipping industry. Moreover, the findings of the regression analysis indicated that abnormal trading volume was positively related to abnormal stock return. Overall, natural marine disasters may lower investors' expectation on the development of the shipping firms, which would adversely affect shipping firms' market value. The findings of our paper highlighted the importance of disaster management in the shipping industry, which suggests managers in shipping industry should improve disaster management. Our research contributes to the research area of the economic effects of natural disasters and the effects of uncertainty on firms' investments.

引用次数: 0

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全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

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