Tide elevations for four mangrove species along western coast of Guangxi, China

Liang, 刘亮 Liu; Hangqing, 范航清 Fan; Chungan, 李春干 Li

doi:10.5846/stxb201107131038

Cited by 9 publications

(1 citation statement)

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“…This has been verified in practice, for example, in Xiamen, Shenzhen, and Beihai, where low elevation mudflats are difficult to forestate successfully while mudflats above mean sea level are more suitable for mangrove growth [62,64,65]. In this study, the optimal elevation for mangrove distribution derived from the MaxEnt model was 0.52 m, which, it must be noted, was a rough average of the large-scale range model results, but this coincides with Liu's results showing that the dominant stands of the four natural communities of mangrove plants in Fangchenggang City, Guangxi were concentrated at a 0.2-0.8 m elevation (China's National Elevation Benchmark) as measured using RTK [66]. Although, in terms of the national scale, there will be variations in different places due to different tidal types, it is essential to consider elevation as an indicator of the critical line of desirable forests.…”

Section: Outlook For Future Mangrove Protection and Restorationsupporting

confidence: 77%

Identification of Suitable Mangrove Distribution Areas and Estimation of Carbon Stocks for Mangrove Protection and Restoration Action Plan in China

Feng,

Tao,

Xie

et al. 2024

JMSE

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Mangrove forests are significant blue carbon pools on the Earth with strong carbon sequestration capacity and play an important role in combating climate change. To improve the capacity of regional carbon sinks, China has implemented a Special Action Plan for Mangrove Protection and Restoration (2020–2025). In this context, based on the MaxEnt model, this study analyzed the important environmental factors affecting the distribution of mangrove forests, combined with the planning objectives and carbon density parameters of different regions; assessed the habitat suitability areas of China’s mangrove forests; and predicted their future carbon stock potential. The results showed the following: (1) Elevation was the most important factor affecting the overall distribution of mangrove forests in China, and the optimal elevation of mangrove distribution was 0.52 m. (2) The most suitable areas of mangrove forests in China were mainly distributed in Hainan, Guangxi, and Guangdong, which had great potential for carbon stock. Danzhou Bay and Hongpai Harbor in Hainan, Lianzhou Bay in Guangxi, and the Huangmao Sea in Guangdong are potential areas for habitat suitability but are not yet under high levels of protection. (3) Achieving the goals of this action plan was expected to increase carbon stocks by 4.13 Tg C. Other suitable areas not included in this plan could still increase carbon stocks by 7.99 Tg C in the long term. The study could provide a scientific basis for siting mangrove restoration areas and developing efficient management policies.

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Section: Outlook For Future Mangrove Protection and Restorationsupporting

confidence: 77%

Identification of Suitable Mangrove Distribution Areas and Estimation of Carbon Stocks for Mangrove Protection and Restoration Action Plan in China

Feng,

Tao,

Xie

et al. 2024

JMSE

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Zonation of mangrove flora and fauna in a subtropical estuarine wetland based on surface elevation

Wang

Tang

et al. 2020

Ecology and Evolution

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In the context of sea‐level rise (SLR), an understanding of the spatial distributions of mangrove flora and fauna is required for effective ecosystem management and conservation. These distributions are greatly affected by tidal inundation, and surface elevation is a reliable quantitative indicator of the effects of tidal inundation. Most recent studies have focused exclusively on the quantitative relationships between mangrove‐plant zonation and surface elevation, neglecting mangrove fauna. Here, we measured surface elevation along six transects through the mangrove forests of a subtropical estuarine wetland in Zhenzhu Bay (Guangxi, China), using a real‐time kinematic global positioning system. We identified the mangrove plants along each transect and investigated the spatial distributions of arboreal, epifaunal, and infaunal molluscs, as well as infaunal crabs, using traditional quadrats. Our results indicated that almost all mangrove forests in the bay were distributed within the 400–750 m intertidal zone, between the local mean sea level and mean high water (119 cm above mean sea level). Mangrove plants exhibited obvious zonation patterns, and different species tended to inhabit different niches along the elevation gradient: Aegiceras corniculatum dominated in seaward locations while Lumnitzera racemosa dominated in landward areas. Mangrove molluscs also showed distinct patterns of spatial zonation related to surface elevation, independent of life‐form and season. The spatial distributions of some molluscs were correlated to the relative abundances of certain mangrove plants. In contrast, the spatial distributions of crabs were not related to surface elevation. To the best of our knowledge, this is the first study to explicitly quantify the influences of surface elevation on the spatial distributions of mangrove fauna. This characterization of the vertical ranges of various flora and fauna in mangrove forests provides a basic framework for future studies aimed at predicting changes in the structure and functions of mangrove forests in response to SLR.

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Vulnerability assessment of the coastal mangrove ecosystems in Guangxi, China, to sea-level rise

Meng

et al. 2014

Reg Environ Change

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Tide elevations for four mangrove species along western coast of Guangxi, China

Cited by 9 publications

References 0 publications

Identification of Suitable Mangrove Distribution Areas and Estimation of Carbon Stocks for Mangrove Protection and Restoration Action Plan in China

Identification of Suitable Mangrove Distribution Areas and Estimation of Carbon Stocks for Mangrove Protection and Restoration Action Plan in China

Zonation of mangrove flora and fauna in a subtropical estuarine wetland based on surface elevation

Vulnerability assessment of the coastal mangrove ecosystems in Guangxi, China, to sea-level rise

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