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Mangrove Zonation Dynamics in the De...
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Liu, Mingfeng.
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Mangrove Zonation Dynamics in the Deep Bay Area Using Multi-source Time-series Satellite Images.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Mangrove Zonation Dynamics in the Deep Bay Area Using Multi-source Time-series Satellite Images./
作者:
Liu, Mingfeng.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
122 p.
附註:
Source: Dissertations Abstracts International, Volume: 81-09, Section: B.
Contained By:
Dissertations Abstracts International81-09B.
標題:
Geographic information science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27783965
ISBN:
9781392883112
Mangrove Zonation Dynamics in the Deep Bay Area Using Multi-source Time-series Satellite Images.
Liu, Mingfeng.
Mangrove Zonation Dynamics in the Deep Bay Area Using Multi-source Time-series Satellite Images.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 122 p.
Source: Dissertations Abstracts International, Volume: 81-09, Section: B.
Thesis (Ph.D.)--The Chinese University of Hong Kong (Hong Kong), 2019.
Mangrove deforestation is occurring globally at a rapid rate and is causing serious ecological and economic losses at all scales. Monitoring the mangrove changes is an important step for mangrove management and conservation. Zonation of mangrove species (ZMS) is the predictable and discrete ordering of mangrove species caused by a unique, intertidal environment. Mangrove zonation pattern is formed by complex abiotic and biotic environmental factors and, at the same time significantly influences the associate flora and fauna communities even the whole coastal ecosystem and local carbon cycle. Dynamic of mangrove zonation could be an indicator for local environmental change and, at the same time drive corresponding changes of the environment. Therefore, mapping ZMS and analyzing its long-term change is critical to understanding the mangrove community and the whole ecosystem. This dissertation combined spatial analysis methods to multi-source time-series satellite images aiming to investigate the characteristics and inner structures of mangrove zonation in the Deep Bay Area during the past three decades. The major findings of this study are summarized as follows.Firstly, mangroves in Mai Po Nature Reserve have shown a clear sequence of species zonation pattern in the past three decades. Generally, during most of the study period, there has been a sequence of three banded zones perpendicular to the shoreline from high tide to low tide level in Mai Po, dominated by mature Kandelia obovata (KO1), Avicennia marina (AM) and younger Kandelia obovata (KO2), respectively, while in Futian Nature reserve, the zonation pattern was not that clear during the past three decades.Secondly, spatial analysis method standard deviational ellipse (SDE) could enhance mangrove zonation understanding by adding unique directional change information to compensate for the spatial extent. According to the SDE analysis results based on medium resolution images, the rotation change results in the past three decades shown that the three types species KO1, AM and KO2 in Mai Po continuously spread in a northwestern direction over the study period. The X and Y deviation changes show that KO1 and Acanthus ilicifolius (AI) distributed in a relatively larger area in Mai Po, whereas AM and KO2 tend to be restricted to a relatively smaller area. Additionally, the moving trend results of the ellipse centers indicate a similar moving trend of the centers of the four types of species over the past three decades, moving to the northwest, and indicating a consistent zonation moving trend.Thirdly, different features of native and exotic species were found through the spatial analysis results. Native mangrove stands in the Deep Bay Area show relatively clearer zonation during the past three decades, presenting a sequence of the species in this tide-dominated shore with higher aggregation and reunion degree. In comparison, the distribution pattern of exotic species is in higher degree of fragmentation and less connectivity. According to the analysis results of some landscape metric indexes such as Aggregation Index (AI), Contiguity Index (CONTIG_MN), Clumpiness Index (CLUMPY), Proportion of Like Adjacency Index (PLADJ), Interspersion Juxtaposition Index (IJI) and Effected Mesh Size index (MESH) of both native and exotic species, the overall higher indexes value of native species KO and AM indicates that these native species tend to form dominant patch types with higher connectivity in the inner species zones, while the lower value of exotic Sonneratia spp. indicates the exotic species zones show higher degree of fragmentation with more small patches existing in them.The major outcomes of this research provide results of how the zonation pattern was changing during the past three decades in the Deep Bay area and what different features the native and exotic species were demonstrated through the zonation changing process in the Deep Bay area. Pixel-based SDE and patch-based Landscape Metrics were proven to be effective methods in measuring and describing the spatial distribution pattern of mangrove zonation based on both high and medium level satellite images. This study that focused on the three-decade historical change of mangrove zonation could be an effective reference for other mangrove ecologists and policy makers for mangrove protection and management.
ISBN: 9781392883112Subjects--Topical Terms:
3432445
Geographic information science.
Mangrove Zonation Dynamics in the Deep Bay Area Using Multi-source Time-series Satellite Images.
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Mangrove deforestation is occurring globally at a rapid rate and is causing serious ecological and economic losses at all scales. Monitoring the mangrove changes is an important step for mangrove management and conservation. Zonation of mangrove species (ZMS) is the predictable and discrete ordering of mangrove species caused by a unique, intertidal environment. Mangrove zonation pattern is formed by complex abiotic and biotic environmental factors and, at the same time significantly influences the associate flora and fauna communities even the whole coastal ecosystem and local carbon cycle. Dynamic of mangrove zonation could be an indicator for local environmental change and, at the same time drive corresponding changes of the environment. Therefore, mapping ZMS and analyzing its long-term change is critical to understanding the mangrove community and the whole ecosystem. This dissertation combined spatial analysis methods to multi-source time-series satellite images aiming to investigate the characteristics and inner structures of mangrove zonation in the Deep Bay Area during the past three decades. The major findings of this study are summarized as follows.Firstly, mangroves in Mai Po Nature Reserve have shown a clear sequence of species zonation pattern in the past three decades. Generally, during most of the study period, there has been a sequence of three banded zones perpendicular to the shoreline from high tide to low tide level in Mai Po, dominated by mature Kandelia obovata (KO1), Avicennia marina (AM) and younger Kandelia obovata (KO2), respectively, while in Futian Nature reserve, the zonation pattern was not that clear during the past three decades.Secondly, spatial analysis method standard deviational ellipse (SDE) could enhance mangrove zonation understanding by adding unique directional change information to compensate for the spatial extent. According to the SDE analysis results based on medium resolution images, the rotation change results in the past three decades shown that the three types species KO1, AM and KO2 in Mai Po continuously spread in a northwestern direction over the study period. The X and Y deviation changes show that KO1 and Acanthus ilicifolius (AI) distributed in a relatively larger area in Mai Po, whereas AM and KO2 tend to be restricted to a relatively smaller area. Additionally, the moving trend results of the ellipse centers indicate a similar moving trend of the centers of the four types of species over the past three decades, moving to the northwest, and indicating a consistent zonation moving trend.Thirdly, different features of native and exotic species were found through the spatial analysis results. Native mangrove stands in the Deep Bay Area show relatively clearer zonation during the past three decades, presenting a sequence of the species in this tide-dominated shore with higher aggregation and reunion degree. In comparison, the distribution pattern of exotic species is in higher degree of fragmentation and less connectivity. According to the analysis results of some landscape metric indexes such as Aggregation Index (AI), Contiguity Index (CONTIG_MN), Clumpiness Index (CLUMPY), Proportion of Like Adjacency Index (PLADJ), Interspersion Juxtaposition Index (IJI) and Effected Mesh Size index (MESH) of both native and exotic species, the overall higher indexes value of native species KO and AM indicates that these native species tend to form dominant patch types with higher connectivity in the inner species zones, while the lower value of exotic Sonneratia spp. indicates the exotic species zones show higher degree of fragmentation with more small patches existing in them.The major outcomes of this research provide results of how the zonation pattern was changing during the past three decades in the Deep Bay area and what different features the native and exotic species were demonstrated through the zonation changing process in the Deep Bay area. Pixel-based SDE and patch-based Landscape Metrics were proven to be effective methods in measuring and describing the spatial distribution pattern of mangrove zonation based on both high and medium level satellite images. This study that focused on the three-decade historical change of mangrove zonation could be an effective reference for other mangrove ecologists and policy makers for mangrove protection and management.
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