The impact of rapid urban expansion on coastal mangroves: a case study in Guangdong Province, China

doi:10.1007/s11707-019-0768-6

Front. Earth Sci.

2020, Vol. 14

Issue (1) : 37-49 https://doi.org/10.1007/s11707-019-0768-6

RESEARCH ARTICLE

The impact of rapid urban expansion on coastal mangroves: a case study in Guangdong Province, China

Bin AI^1,^2,³, Chunlei MA¹(

), Jun ZHAO^1,^2,³, Rui ZHANG¹

¹. School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510275, China
². Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Guangzhou 510275, China
³. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China

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Abstract

Mangroves serve many important ecological functions and consequently represent a dominant coastal ecosystem. However, coastal regions are very susceptible to ecological damage due to their high population density, urban expansion being one of the most important influencing factors. Accordingly, it is vital to ascertain how urban expansion endangers mangrove ecosystems. This study used the decision-tree classification method based on classification and regression tree (CART) algorithm to extract areas of mangrove and built-up land from Landsat images. A correlation analysis was performed between the change in the area of mangroves and the change in the area of built-up land at the cell scale. This study aimed to reveal the magnitude of the influence of urban expansion on mangrove forests in different periods and in different regions, and to identify the places that are seriously affected by urban expansion. The results demonstrate that this approach can be used to quantitatively analyze the impact of urban expansion on mangrove forests, and show that larger areas of mangrove were affected by urban expansion in the past 30 years. The effects of urban expansion were stronger over time, with approximately 12% of cells containing mangroves showing a negative correlation between the increase in the area of built-up land and the change in the area of mangrove forests to different degrees from 2005 to 2015. The same quantitative analysis was also carried out in three subregions of Guangdong Province, namely western Guangdong Province, the Pearl River Delta, and eastern Guangdong Province. It was found that the situations in these three regions were very different due to discrepancies in the distribution of mangroves, the rate of urban expansion, and the awareness of the local government regarding environmental protection. These results can assist in the management of coastal cities and the protection of mangrove ecosystems.

Keywords mangrove urban expansion ecological stress coastal Guangdong

Corresponding Author(s): Chunlei MA

Just Accepted Date: 11 September 2019 Online First Date: 07 November 2019 Issue Date: 24 March 2020

Cite this article:

Bin AI,Chunlei MA,Jun ZHAO, et al. The impact of rapid urban expansion on coastal mangroves: a case study in Guangdong Province, China[J]. Front. Earth Sci., 2020, 14(1): 37-49.

URL:

https://academic.hep.com.cn/fesci/EN/10.1007/s11707-019-0768-6
https://academic.hep.com.cn/fesci/EN/Y2020/V14/I1/37

Fig.1 Cropped image in 1985 of research scope.

Tab.1 A list of image datum used in this study

Tab.2 Accuracy validation results in 2015

Tab.3 Correlation coefficients calculated in GD, WG, PRD, EG

Fig.2 Total area of mangroves in GD during the period from 1985 to 2015.

Fig.3 Distribution of built-up land in GD in 1985, 1995, 2005, and 2015.

Fig.4 Proportion of different r values in GD (a) and the mangrove areas change in cells of different r in GD (b).

Fig.5 Spatial pattern of different r values from 2005 to 2015 in GD. The polygons with red outlines in subgraphs show the position of mangroves in 2015.

Fig.6 Proportion of different r values in EG (a) and proportion of mangrove areas in cells of different r values in EG (b).

Fig.7 Proportion of different r values in PRD (a) and proportion of mangrove areas in cells of different r values in PRD (b).

Fig.8 Proportion of different r values in WG (a) and proportion of mangrove areas in cells of different r values in WG (b).

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