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Coastal Conservation: Science for Sustainable Shores
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Coastal Conservation: Science for Sustainable Shores

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Coastal Engineering".

Deadline for manuscript submissions: 1 September 2026 | Viewed by 574

Editors

Dr. César Mösso

E-Mail Website
Guest Editor
Laboratori d’Enginyeria Marítima, Universitat Politècnica de Catalunya, Jordi Girona 1-3, Mòdul D1, 08034 Barcelona, Spain
Interests: coastal engineering; climate change; maritime hydrodynamics
Prof. Dr. Luci Cajueiro Carneiro Pereira

E-Mail Website
Guest Editor
Laboratory of Coastal and Estuarine Oceanography, Institute of Coastal Studies, Universidade Federal do Pará—UFPA, Alameda Leandro Ribeiro, Bragança 68600‑000, Brazil
Interests: coastal dynamics; coastal processes; marine environment; marine ecology; estuaries; hydrology

Special Issue Information

Dear Colleagues,

Coastal zones are facing critical pressures due to climate change and human intervention, highlighting that isolated strategies are insufficient for prevention. This Special Issue invites the academic community to submit research on coastal conservation and sustainability grounded in the integration of multi-scale solutions and using a solid empirical basis.

We seek contributions covering the entire coastal management cycle, from the monitoring and diagnosis of key variables (waves, hydrodynamics, shoreline evolution, and water quality), to the implementation of Nature-based Solutions (NbS). We welcome both successful and replicable local case studies and analyses of ecological connectivity at a regional scale.

The goal is to gather technical–scientific evidence that enables managers and stakeholders to conduct science-based management. We particularly welcome works that quantify gains in biodiversity and Ecosystem Services (ESs), such as coastal protection and Blue Carbon, demonstrating how rigorous conservation enables a resilient and adapted Blue Economy.

Dr. César Mösso
Prof. Dr. Luci Cajueiro Carneiro Pereira
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • coastal sustainability
  • Nature-based Solutions (NbS)
  • coastal monitoring
  • Ecosystem Services (ESs)
  • science-based management
  • river–coast connectivity
  • Blue Carbon
  • shoreline evolution
  • climate adaptation

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Published Papers (1 paper)

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Research

43 pages, 10981 KB  
Article
River–Coast Connectivity Controls Ecosystem Services and Blue Carbon of Coastal Nature-Based Solutions: An Integrated Study Coupling Emergy–Carbon Footprint Accounting and Neural Network Modeling
by Junxue Zhang, Yan Gong, Hairuo Wang, Ashish T. Asutosh, Ge Song, Weidong Wu and Xiaoting Zhai
J. Mar. Sci. Eng. 2026, 14(11), 1029; https://doi.org/10.3390/jmse14111029 - 31 May 2026
Viewed by 223
Abstract
This study develops an integrated framework combining emergy analysis, carbon footprint accounting, and long short-term memory neural network modeling to investigate the effects of nature-based solutions on coastal ecosystem services and blue carbon functions from the perspective of river–coast connectivity. Three transects along [...] Read more.
This study develops an integrated framework combining emergy analysis, carbon footprint accounting, and long short-term memory neural network modeling to investigate the effects of nature-based solutions on coastal ecosystem services and blue carbon functions from the perspective of river–coast connectivity. Three transects along a connectivity gradient were established in the Yellow River Delta, a typical large river delta in temperate China, covering riparian zones, estuarine transition areas, intertidal wetlands, and seagrass beds, with multi-source data collected over three consecutive hydrological years. Emergy–carbon coupling analysis based on this case study indicates that the high-connectivity transect shows a higher emergy yield ratio and net carbon sink compared to the low-connectivity transect, with salt marshes being most sensitive to connectivity change. Threshold analysis, specific to this delta, identifies a three-phase response pattern of carbon burial rate with increasing sediment connectivity, and reveals that wave attenuation efficiency declines notably when hydrological connectivity falls below approximately 0.5, although this value may vary across different coastal settings. A higher sea level rise rate raises the critical connectivity level required to maintain carbon sink function. The long short-term memory neural network trained on observational data achieves better prediction accuracy for blue carbon accumulation rates than traditional statistical methods, and SHAP value analysis suggests the possible existence of synergistic effects among connectivity dimensions. Based on these findings, three optimization strategies including tiered restoration, a dynamic pathway, and spatial configuration are proposed as case-specific recommendations for the Yellow River Delta. Framework-based simulations indicate the potential for connectivity-informed strategy adjustments to improve restoration efficiency under local conditions. This study concludes that river–coast connectivity represents an important lever regulating the ecological benefits of nature-based solutions, but emphasizes that all quantitative thresholds and benefit magnitudes reported here are case-specific estimates that require recalibration when applied to other coastal systems. Full article
(This article belongs to the Special Issue Coastal Conservation: Science for Sustainable Shores)
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