Dynamic simulation of coastal wetlands for Guangdong-Hong Kong-Macao Greater Bay area based on multi-temporal Landsat images and FLUS model

Coastal wetlands play a vital role in coastline protection. Coastal landscape of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has changed drastically. In order to explore the process and law of coastal landscape dynamics in GBA, in this research, multi-temporal Landsat images and proposed hy...

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Autores principales:	Hongjiang Guo, Yanpeng Cai, Zhifeng Yang, Zhenchang Zhu, Yiran Ouyang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Coastal wetlands Landscape pattern index Future land use simulation (FLUS) model Guangdong-Hong Kong-Macao Greater Bay Area (GBA) Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/8ddba08d812846689e337dfce24cda1d
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spelling	oai:doaj.org-article:8ddba08d812846689e337dfce24cda1d2021-12-01T04:48:08ZDynamic simulation of coastal wetlands for Guangdong-Hong Kong-Macao Greater Bay area based on multi-temporal Landsat images and FLUS model1470-160X10.1016/j.ecolind.2021.107559https://doaj.org/article/8ddba08d812846689e337dfce24cda1d2021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21002247https://doaj.org/toc/1470-160XCoastal wetlands play a vital role in coastline protection. Coastal landscape of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has changed drastically. In order to explore the process and law of coastal landscape dynamics in GBA, in this research, multi-temporal Landsat images and proposed hybrid object-based image analysis and multi-level decision tree classification were applied to monitor the changing trends and current status of the coastal landscape in GBA from 1988 to 2018. There were 5818.58 km2 of natural wetlands in 2018, including mangroves (39.62 km2), tidal flats (73.64 km2), rivers (161.65 km2), and shallow seas (5543.67 km2). Due to the influence of anthropogenic activities, natural wetlands showed a decreasing trend, while artificial wetlands and non-wetlands have been increasing. Results indicated that the landscape in the study area showed a trend of fragmentation, the degree of landscape aggregation weakened, the dominant patches were scattered, the shape became more and more complex, and the landscape heterogeneity increased. Then, a future land use simulation model was used to simulate the coastal landscape change trends of GBA in 2028 under four scenarios. The mangrove has the fastest growth rate of 1.47 km2/a under wetland protection scenario. The tidal flat and paddy field would increase under scenarios of the wetland protection and farmland protection, respectively. The construction land has the fastest growth rate under the economic development scenario and would be 47.56 km2/a. Woodland, dry land, and culture ponds are further transformed into other landscape types, while rivers, shallow seas, and reservoirs/ponds have no obvious change.Hongjiang GuoYanpeng CaiZhifeng YangZhenchang ZhuYiran OuyangElsevierarticleCoastal wetlandsLandscape pattern indexFuture land use simulation (FLUS) modelGuangdong-Hong Kong-Macao Greater Bay Area (GBA)EcologyQH540-549.5ENEcological Indicators, Vol 125, Iss , Pp 107559- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Coastal wetlands Landscape pattern index Future land use simulation (FLUS) model Guangdong-Hong Kong-Macao Greater Bay Area (GBA) Ecology QH540-549.5
spellingShingle	Coastal wetlands Landscape pattern index Future land use simulation (FLUS) model Guangdong-Hong Kong-Macao Greater Bay Area (GBA) Ecology QH540-549.5 Hongjiang Guo Yanpeng Cai Zhifeng Yang Zhenchang Zhu Yiran Ouyang Dynamic simulation of coastal wetlands for Guangdong-Hong Kong-Macao Greater Bay area based on multi-temporal Landsat images and FLUS model
description	Coastal wetlands play a vital role in coastline protection. Coastal landscape of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has changed drastically. In order to explore the process and law of coastal landscape dynamics in GBA, in this research, multi-temporal Landsat images and proposed hybrid object-based image analysis and multi-level decision tree classification were applied to monitor the changing trends and current status of the coastal landscape in GBA from 1988 to 2018. There were 5818.58 km2 of natural wetlands in 2018, including mangroves (39.62 km2), tidal flats (73.64 km2), rivers (161.65 km2), and shallow seas (5543.67 km2). Due to the influence of anthropogenic activities, natural wetlands showed a decreasing trend, while artificial wetlands and non-wetlands have been increasing. Results indicated that the landscape in the study area showed a trend of fragmentation, the degree of landscape aggregation weakened, the dominant patches were scattered, the shape became more and more complex, and the landscape heterogeneity increased. Then, a future land use simulation model was used to simulate the coastal landscape change trends of GBA in 2028 under four scenarios. The mangrove has the fastest growth rate of 1.47 km2/a under wetland protection scenario. The tidal flat and paddy field would increase under scenarios of the wetland protection and farmland protection, respectively. The construction land has the fastest growth rate under the economic development scenario and would be 47.56 km2/a. Woodland, dry land, and culture ponds are further transformed into other landscape types, while rivers, shallow seas, and reservoirs/ponds have no obvious change.
format	article
author	Hongjiang Guo Yanpeng Cai Zhifeng Yang Zhenchang Zhu Yiran Ouyang
author_facet	Hongjiang Guo Yanpeng Cai Zhifeng Yang Zhenchang Zhu Yiran Ouyang
author_sort	Hongjiang Guo
title	Dynamic simulation of coastal wetlands for Guangdong-Hong Kong-Macao Greater Bay area based on multi-temporal Landsat images and FLUS model
title_short	Dynamic simulation of coastal wetlands for Guangdong-Hong Kong-Macao Greater Bay area based on multi-temporal Landsat images and FLUS model
title_full	Dynamic simulation of coastal wetlands for Guangdong-Hong Kong-Macao Greater Bay area based on multi-temporal Landsat images and FLUS model
title_fullStr	Dynamic simulation of coastal wetlands for Guangdong-Hong Kong-Macao Greater Bay area based on multi-temporal Landsat images and FLUS model
title_full_unstemmed	Dynamic simulation of coastal wetlands for Guangdong-Hong Kong-Macao Greater Bay area based on multi-temporal Landsat images and FLUS model
title_sort	dynamic simulation of coastal wetlands for guangdong-hong kong-macao greater bay area based on multi-temporal landsat images and flus model
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/8ddba08d812846689e337dfce24cda1d
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Dynamic simulation of coastal wetlands for Guangdong-Hong Kong-Macao Greater Bay area based on multi-temporal Landsat images and FLUS model

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