Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-Bissau

Detalhes bibliográficos
Autor(a) principal: Lopes, Namir Domingos Raimundo
Data de Publicação: 2022
Outros Autores: Li, Tianxin, Zhang, Peng, Matomela, Nametso, Ikhumhen, Harrison Odion, Sá, Rui M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/28149
Resumo: The assessment of coastal land use/cover (LULC) change is one of the most precise techniques for detecting spatio-temporal change in the coastal system. This study, integrated Land Change Modeler, Habitat Quality Model, and Digital Shoreline Analysis System, to quantify spacio-temporal coastal LULC change and driving forces between 2000 and 2020. Combined the CA-Markov Model with Sea Level Affecting Marshes Model (SLAMM), merged local SLR data with future representative concentration pathway (RCP8.5) scenarios, and predicted future coastal LULC change and associated sea-level rise (SLR) impact on the coastal land use and habitat quality in short-, medium- and long-term. The study area had significant coastal LULC change between 2000 and 2020. The tidal flats, whose change was driven mainly by sea level, registered a total net gain of 57.93 km2 . We also observed the significant loss of developed land whose change was influenced by tidal flat with a total loss of − 75.58 km2. The tidal flat will experience a stunning net gain of 80.55 km2 between 2020 and 2060, making developed land the most negatively impacted land in the study area. The study led to the conclusion that the uncontrolled conversion of saltmarshes, mixed-forest, and mangroves into agriculture and infrastructures were the main factors affecting the coastal systems, including the faster coastal erosion and accretion observed during a 20-year period. The study also concluded that a low coastal elevation of − 1 m and a slope of less than 2◦have contributed to coastal change. Unprecedented changes will unavoidably pose a danger to coastal ecological services, socioeconomic growth, and food security. Timely efforts should be made by establishing sustainable mitigation methods to avoid the future impact.
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spelling Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-BissauRemote sensing Change analysis Driving forces Future prediction Coastal protectionThe assessment of coastal land use/cover (LULC) change is one of the most precise techniques for detecting spatio-temporal change in the coastal system. This study, integrated Land Change Modeler, Habitat Quality Model, and Digital Shoreline Analysis System, to quantify spacio-temporal coastal LULC change and driving forces between 2000 and 2020. Combined the CA-Markov Model with Sea Level Affecting Marshes Model (SLAMM), merged local SLR data with future representative concentration pathway (RCP8.5) scenarios, and predicted future coastal LULC change and associated sea-level rise (SLR) impact on the coastal land use and habitat quality in short-, medium- and long-term. The study area had significant coastal LULC change between 2000 and 2020. The tidal flats, whose change was driven mainly by sea level, registered a total net gain of 57.93 km2 . We also observed the significant loss of developed land whose change was influenced by tidal flat with a total loss of − 75.58 km2. The tidal flat will experience a stunning net gain of 80.55 km2 between 2020 and 2060, making developed land the most negatively impacted land in the study area. The study led to the conclusion that the uncontrolled conversion of saltmarshes, mixed-forest, and mangroves into agriculture and infrastructures were the main factors affecting the coastal systems, including the faster coastal erosion and accretion observed during a 20-year period. The study also concluded that a low coastal elevation of − 1 m and a slope of less than 2◦have contributed to coastal change. Unprecedented changes will unavoidably pose a danger to coastal ecological services, socioeconomic growth, and food security. Timely efforts should be made by establishing sustainable mitigation methods to avoid the future impact.Repositório da Universidade de LisboaLopes, Namir Domingos RaimundoLi, TianxinZhang, PengMatomela, NametsoIkhumhen, Harrison OdionSá, Rui M.2023-08-22T11:22:53Z2022-12-012022-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/28149engNamir Domingos Raimundo Lopes, Tianxin Li, Peng Zhang, Nametso Matomela, Harrison Odion Ikhumhen, Rui M. Sá, Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-Bissau, Journal of Environmental Management, Volume 327, 2023, 116804, ISSN 0301-4797, https://doi.org/10.1016/j.jenvman.2022.116804. (https://www.sciencedirect.com/science/article/pii/S0301479722023775)10.1016/j.jenvman.2022.116804info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-27T01:31:58Zoai:www.repository.utl.pt:10400.5/28149Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:27:34.658094Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-Bissau
title Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-Bissau
spellingShingle Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-Bissau
Lopes, Namir Domingos Raimundo
Remote sensing Change analysis Driving forces Future prediction Coastal protection
title_short Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-Bissau
title_full Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-Bissau
title_fullStr Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-Bissau
title_full_unstemmed Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-Bissau
title_sort Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-Bissau
author Lopes, Namir Domingos Raimundo
author_facet Lopes, Namir Domingos Raimundo
Li, Tianxin
Zhang, Peng
Matomela, Nametso
Ikhumhen, Harrison Odion
Sá, Rui M.
author_role author
author2 Li, Tianxin
Zhang, Peng
Matomela, Nametso
Ikhumhen, Harrison Odion
Sá, Rui M.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Lopes, Namir Domingos Raimundo
Li, Tianxin
Zhang, Peng
Matomela, Nametso
Ikhumhen, Harrison Odion
Sá, Rui M.
dc.subject.por.fl_str_mv Remote sensing Change analysis Driving forces Future prediction Coastal protection
topic Remote sensing Change analysis Driving forces Future prediction Coastal protection
description The assessment of coastal land use/cover (LULC) change is one of the most precise techniques for detecting spatio-temporal change in the coastal system. This study, integrated Land Change Modeler, Habitat Quality Model, and Digital Shoreline Analysis System, to quantify spacio-temporal coastal LULC change and driving forces between 2000 and 2020. Combined the CA-Markov Model with Sea Level Affecting Marshes Model (SLAMM), merged local SLR data with future representative concentration pathway (RCP8.5) scenarios, and predicted future coastal LULC change and associated sea-level rise (SLR) impact on the coastal land use and habitat quality in short-, medium- and long-term. The study area had significant coastal LULC change between 2000 and 2020. The tidal flats, whose change was driven mainly by sea level, registered a total net gain of 57.93 km2 . We also observed the significant loss of developed land whose change was influenced by tidal flat with a total loss of − 75.58 km2. The tidal flat will experience a stunning net gain of 80.55 km2 between 2020 and 2060, making developed land the most negatively impacted land in the study area. The study led to the conclusion that the uncontrolled conversion of saltmarshes, mixed-forest, and mangroves into agriculture and infrastructures were the main factors affecting the coastal systems, including the faster coastal erosion and accretion observed during a 20-year period. The study also concluded that a low coastal elevation of − 1 m and a slope of less than 2◦have contributed to coastal change. Unprecedented changes will unavoidably pose a danger to coastal ecological services, socioeconomic growth, and food security. Timely efforts should be made by establishing sustainable mitigation methods to avoid the future impact.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-01
2022-12-01T00:00:00Z
2023-08-22T11:22:53Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/28149
url http://hdl.handle.net/10400.5/28149
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Namir Domingos Raimundo Lopes, Tianxin Li, Peng Zhang, Nametso Matomela, Harrison Odion Ikhumhen, Rui M. Sá, Predicting future coastal land use/cover change and associated sea-level impact on habitat quality in the Northwestern Coastline of Guinea-Bissau, Journal of Environmental Management, Volume 327, 2023, 116804, ISSN 0301-4797, https://doi.org/10.1016/j.jenvman.2022.116804. (https://www.sciencedirect.com/science/article/pii/S0301479722023775)
10.1016/j.jenvman.2022.116804
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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