Mangrove Ecosystems in the Face of Climate Change: Resilience, Adaptation, and Conservation Strategies

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Ecology and Management".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 524

Special Issue Editors


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Guest Editor
Guangdong Province Mangrove Engineering Technology Research Center, Peking University Shenzhen Graduate School, Shenzhen 518055, China
Interests: mangrove ecosystem

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Guest Editor
College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Interests: mangrove; carbon and nitrogen cycling; emerging contaminants; biodegradation; microbial community

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Guest Editor
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
Interests: remote sensing for coastal wetlands; big earth data
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Guest Editor
School of Ecology, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
Interests: climate mitigation; eco-hydrology; water and energy budget; UAV; thermal infrared remote sensing

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Guest Editor Assistant
Department of Biological Sciences, National University of Singapore, Singapore 119077, Singapore
Interests: coastal wetlands; coastal resilience; NbS; coastal protection; restoration

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Guest Editor Assistant
School of Ecology, Hainan University, Haikou 570228, China
Interests: mangrove ecosystem; pollutant migration and transformation; ecological effects; biogeochemical cycles; environmental DNA

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the critical role of mangrove ecosystems in addressing climate change through their unique capacity for carbon sequestration, coastal protection, and biodiversity support. It seeks to explore strategies to enhance mangrove resilience, adaptive mechanisms, and conservation efforts in response to climate-driven threats, such as sea-level rise, temperature fluctuations, storm intensification, and habitat degradation. Key areas include the following:

Carbon dynamics: blue carbon assessment, long-term carbon storage potential, and challenges to sink permanence.

Climate impacts: effects of sea-level rise, salinity changes, and extreme weather on mangrove health and distribution.

Conservation strategies: policy frameworks (e.g., REDD+, Paris Agreement), community-led initiatives, and restoration techniques.

Ecosystem services: biodiversity conservation, coastal resilience, and socio-economic benefits for vulnerable communities.

Innovative management: adaptive governance, risk mitigation (e.g., erosion, deforestation), and integrating traditional ecological knowledge.

Expected Submissions:

We invite original research, reviews, case studies, and policy analyses addressing the following:

Quantifying mangrove carbon stocks and sequestration rates;

Successes/failures of conservation policies and community-based practices;

Restoration ecology, including species-specific resilience and reforestation methods;

Technological advances in monitoring mangrove health and carbon flux;

Interdisciplinary studies linking ecology, socio-economics, and climate modeling.

This Special Issue aims to synthesize global knowledge to inform actionable solutions for safeguarding mangroves as vital climate buffers and biodiversity hubs. Submissions from diverse geographical contexts, particularly vulnerable regions, are encouraged.

Dr. Xiaoxue Shen
Dr. Shuguang Xie
Dr. Mingming Jia
Dr. Chunhua Yan
Guest Editors

Dr. Xueqin Gao
Dr. Ping Li
Guest Editor Assistants

Manuscript Submission Information

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Keywords

  • mangrove ecosystems
  • climate resilience
  • blue carbon
  • coastal adaptation
  • conservation strategies
  • carbon sequestration
  • ecosystem services
  • mangrove restoration
  • deforestation
  • policy frameworks

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Published Papers (1 paper)

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Research

17 pages, 3477 KiB  
Article
Rapid Identification of Mangrove Leaves Based on Improved YOLOv10 Model
by Haitao Sang, Ziming Li, Xiaoxue Shen, Shuwen Wang and Ying Zhang
Forests 2025, 16(7), 1068; https://doi.org/10.3390/f16071068 - 26 Jun 2025
Viewed by 111
Abstract
To address the issue of low recognition accuracy caused by the high morphological similarity of mangrove plant leaves, this study proposes a rapid identification method for mangrove leaves based on the YOLOv10 model, with corresponding improvements made to the baseline model. First, the [...] Read more.
To address the issue of low recognition accuracy caused by the high morphological similarity of mangrove plant leaves, this study proposes a rapid identification method for mangrove leaves based on the YOLOv10 model, with corresponding improvements made to the baseline model. First, the open-source tool LabelImg was employed to annotate leaf images and construct a mangrove leaf species dataset. Subsequently, a PSA attention mechanism was introduced to enhance the extraction of leaf detail features, while the SCDown downsampling method was adopted to preserve key characteristics. Furthermore, a BiFPN architecture incorporating SE modules was implemented to dynamically adjust channel weights for multi-scale feature fusion. Finally, the classification and regression tasks are decoupled by separating the detection head, and the final model is named YOLOv10-MSDet. Experimental results demonstrate that the improved model achieves rapid and accurate identification of various mangrove leaf species, with an average recognition accuracy of 92.4%—a 2.84 percentage point improvement over the baseline model, significantly enhancing the precision of mangrove leaf detection. Full article
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