Dynamic Monitoring and Estimation of Coastal Wetland Blue Carbon Ecosystems

Topic Information

Dear Colleagues,

Coastal blue carbon ecosystems (e.g., salt marshes, mangroves, and seagrass beds), covering less than 0.5% of the global ocean area, store 50%–90% of the world's blue carbon. These ecosystems serve as vital natural carbon sinks, playing a crucial role in mitigating global climate change and achieving carbon neutrality goals. However, under the dual pressures of climate change and intensive human activities, global coastal blue carbon ecosystems face continuous degradation, leading to a decline in their ecological functions. Therefore, gaining a comprehensive understanding of the dynamic changes and carbon storage characteristics of coastal blue carbon ecosystems and formulating scientifically sound management strategies and restoration techniques are of great significance for enhancing coastal ecological environment management. Remote sensing technology provides an efficient solution for the long-term and continuous monitoring of dynamic changes in coastal ecosystems. In recent years, significant advancements in remote sensing, GIS technology, and multi-source data accessibility have led to substantial progress and deepened research on coastal blue carbon ecosystems. This Topic focuses on the latest research advancements in the dynamic monitoring of coastal blue carbon ecosystems, changes in coastal wetland land cover and carbon storage, blue carbon cycling processes, and their mechanisms. We sincerely invite you to submit relevant academic achievements. Potential topics include, but are not limited to, the following:

1. Remote sensing of coastal wetlands;
2. Fine classification of wetlands;
3. Remote sensing for wetland restoration;
4. Carbon cycling processes and mechanisms of blue carbon ecosystems;
5. Applications of remote sensing and GIS technology in monitoring blue carbon ecosystems;
6. Coastal wetland ecosystem restoration for enhancing blue carbon productivity;
7. Degradation, restoration, and management techniques for blue carbon ecosystems;
8. Impacts of climate change and human activities on blue carbon ecosystems;
9. Dynamic monitoring and assessment of coastal blue carbon ecosystems.

We look forward to receiving your contributions.

Prof. Dr. Zhaohui Xue
Prof. Dr. Lina Ke
Prof. Dr. Xiyong Hou
Dr. Guangshuai Zhang
Dr. Wenting Wu
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
ISPRS International Journal of Geo-Information ijgi	2.8	6.9	2012	35.8 Days	CHF 1900	Submit
Journal of Marine Science and Engineering jmse	2.7	4.4	2013	16.4 Days	CHF 2600	Submit
Land land	3.2	4.9	2012	16.9 Days	CHF 2600	Submit
Remote Sensing remotesensing	4.2	8.3	2009	23.9 Days	CHF 2700	Submit
Sensors sensors	3.4	7.3	2001	18.6 Days	CHF 2600	Submit
Sustainability sustainability	3.3	6.8	2009	19.7 Days	CHF 2400	Submit
Water water	3.0	5.8	2009	17.5 Days	CHF 2600	Submit

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Published Papers (2 papers)

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23 pages, 14523 KiB  

Open AccessArticle

An Improved Method for Estimating Blue Carbon Storage in Coastal Salt Marsh Wetlands: Considering the Heterogeneity of Soil Thickness

by Lina Ke, Changkun Yin, Nan Lei, Shilin Zhang, Yao Lu, Guangshuai Zhang, Daqi Liu and Quanming Wang

Land 2025, 14(4), 776; https://doi.org/10.3390/land14040776 - 4 Apr 2025

Viewed by 528

Abstract

Coastal wetlands are vital ecosystems at the land–sea interface. They intercept land-based pollutants, regulate microclimates, and mediate carbon cycles. They play a significant role in enhancing carbon sequestration capacity and maintaining ecological structure and functioning. This study proposes an improved method for estimating [...] Read more.

Coastal wetlands are vital ecosystems at the land–sea interface. They intercept land-based pollutants, regulate microclimates, and mediate carbon cycles. They play a significant role in enhancing carbon sequestration capacity and maintaining ecological structure and functioning. This study proposes an improved method for estimating blue carbon storage in coastal salt marsh wetlands, considering soil thickness, by utilizing an enhanced Soil Land Inference Model (SoLIM) to estimate soil thickness in coastal wetlands with a restricted number of sample points. The wetland soil thickness index is integrated into the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) blue carbon storage estimation model, ultimately enabling the estimation and visualization of blue carbon storage in the Liaohe Estuary coastal wetland. Results indicate the following: (1) The studied area’s soil thickness shows a spatial distribution pattern that becomes progressively thinner from north to south. Soil thickness is more significant in the salt marsh vegetation areas and more minor in the coastal tidal flat areas, with 52% of the region having soil thickness between 40 and 60 cm. (2) In 2023, the blue carbon stock in the study area is estimated at 389.85 × 10⁶ t, with high-value areas concentrated in the northern natural landscapes, and low-value areas in the southern coastal zone, characterized by flat terrain and human influence. The coupled soil thickness–blue carbon storage estimation model provides methodological support for refining the estimation of blue carbon storage in coastal wetlands. It also offers technical support for formulating policies on the ecological restoration, compensation, protection, and management of coastal wetlands. Full article

(This article belongs to the Topic Dynamic Monitoring and Estimation of Coastal Wetland Blue Carbon Ecosystems)

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19 pages, 10454 KiB  

Open AccessArticle

Transport Carbon Emission Measurement Models and Spatial Patterns Under the Perspective of Land–Sea Integration–Take Tianjin as an Example

by Lina Ke, Zhiyu Ren, Quanming Wang, Lei Wang, Qingli Jiang, Yao Lu, Yu Zhao and Qin Tan

Sustainability 2025, 17(7), 3095; https://doi.org/10.3390/su17073095 - 31 Mar 2025

Cited by 1 | Viewed by 381

Abstract

The goal of “double carbon” puts forward higher requirements for the control of transport carbon emissions, and the exploration of transport carbon emission modelling driven by big data is an important attempt to reduce carbon accurately. Based on the land Vehicle Miles Traveled [...] Read more.

The goal of “double carbon” puts forward higher requirements for the control of transport carbon emissions, and the exploration of transport carbon emission modelling driven by big data is an important attempt to reduce carbon accurately. Based on the land Vehicle Miles Traveled data (VMT) and the sea Automatic Identification System (AIS) data, this study establishes a refined, high-resolution carbon emission measurement model that incorporates the use of motor vehicles and ships from a bottom-up approach and analyzes the spatial distribution characteristics of land and sea transport carbon emissions in Tianjin using geospatial analysis. The results of the study show that (1) the transportation carbon emissions in Tianjin mainly come from land road traffic, with small passenger cars contributing the most to the emissions; (2) high carbon emission zones are concentrated in economically developed, densely populated, and high road network density areas, such as the urban center Binhai New Area, and the marine functional zone of Tianjin; (3) carbon emission values are generally higher in the segments where ports, airports, and interchanges are connected. The transportation carbon emission measurement model developed in this study provides practical, replicable, and scalable insights for other coastal cities. Full article

(This article belongs to the Topic Dynamic Monitoring and Estimation of Coastal Wetland Blue Carbon Ecosystems)

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