Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/94057 |
Resumo: | Mangrove forests are among the most productive ecosystems on Earth. However, there is still insufficient information available for strategic prediction of conservation and management intervention, particularly in the case of Mozambique. This country has the longest coastline and mangrove forests of Eastern Africa, but is prone to global climate hazards. Using recent field data and environmental parameters subjected to the Variance Inflation Factor (VIF) collinearity test (bioclimatic variables, slop, salinity, land cover, and elevation), we ran MaxEnt to model the distribution of mangrove forests based on occurrence data of the most emblematic and representative mangrove species in Mozambique (Avicennia marina and Rhizophora mucronata). Moreover, in order to understand which areas should be prioritized for management interventions on mangroves and costal dunes, an Exposure Index (EI) to climate hazards and erosion was compared with the potential distribution of these species. Our results showed that average wind speed of summer season, land surface elevation, Mean Diurnal Range, and saltwater exposure (salinity) were determinant on the distribution models of both species. The central coastal region of Mozambique (so-called swamp coast) presents the largest potentially suitable areas for mangroves species occurrence, having the highest levels of exposure. We also found that A. marina presents a higher EI than R. mucronata. The scarcity of studies concerning the central region of Mozambique; which was recently devastated by cyclone Idai (category four, 2019), which hit Mozambique and the neighbouring countries, reinforce the urgency for management intervention. The findings of this study should be used by managers and decision makers to promote best practices to safeguard lives and people's livelihoods and assets threatened by coastal climate hazards and anthropogenic impacts. |
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Assessment of the vulnerability of coastal mangrove ecosystems in MozambiqueCoastal habitatsEastern AfricaExposure indexMangrove treesMaxEntOceanographyAquatic ScienceManagement, Monitoring, Policy and LawSDG 13 - Climate ActionSDG 14 - Life Below WaterSDG 15 - Life on LandMangrove forests are among the most productive ecosystems on Earth. However, there is still insufficient information available for strategic prediction of conservation and management intervention, particularly in the case of Mozambique. This country has the longest coastline and mangrove forests of Eastern Africa, but is prone to global climate hazards. Using recent field data and environmental parameters subjected to the Variance Inflation Factor (VIF) collinearity test (bioclimatic variables, slop, salinity, land cover, and elevation), we ran MaxEnt to model the distribution of mangrove forests based on occurrence data of the most emblematic and representative mangrove species in Mozambique (Avicennia marina and Rhizophora mucronata). Moreover, in order to understand which areas should be prioritized for management interventions on mangroves and costal dunes, an Exposure Index (EI) to climate hazards and erosion was compared with the potential distribution of these species. Our results showed that average wind speed of summer season, land surface elevation, Mean Diurnal Range, and saltwater exposure (salinity) were determinant on the distribution models of both species. The central coastal region of Mozambique (so-called swamp coast) presents the largest potentially suitable areas for mangroves species occurrence, having the highest levels of exposure. We also found that A. marina presents a higher EI than R. mucronata. The scarcity of studies concerning the central region of Mozambique; which was recently devastated by cyclone Idai (category four, 2019), which hit Mozambique and the neighbouring countries, reinforce the urgency for management intervention. The findings of this study should be used by managers and decision makers to promote best practices to safeguard lives and people's livelihoods and assets threatened by coastal climate hazards and anthropogenic impacts.NOVA School of Business and Economics (NOVA SBE)NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNCharrua, Alberto BentoBandeira, Salomão O.Catarino, SilviaCabral, PedroRomeiras, Maria M.2023-03-11T01:31:50Z2020-05-012020-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/94057eng0964-5691PURE: 17194941https://doi.org/10.1016/j.ocecoaman.2020.105145info: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:RCAAP2024-03-11T04:42:10Zoai:run.unl.pt:10362/94057Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:37:53.286927Repositório 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 |
Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique |
title |
Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique |
spellingShingle |
Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique Charrua, Alberto Bento Coastal habitats Eastern Africa Exposure index Mangrove trees MaxEnt Oceanography Aquatic Science Management, Monitoring, Policy and Law SDG 13 - Climate Action SDG 14 - Life Below Water SDG 15 - Life on Land |
title_short |
Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique |
title_full |
Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique |
title_fullStr |
Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique |
title_full_unstemmed |
Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique |
title_sort |
Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique |
author |
Charrua, Alberto Bento |
author_facet |
Charrua, Alberto Bento Bandeira, Salomão O. Catarino, Silvia Cabral, Pedro Romeiras, Maria M. |
author_role |
author |
author2 |
Bandeira, Salomão O. Catarino, Silvia Cabral, Pedro Romeiras, Maria M. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
NOVA School of Business and Economics (NOVA SBE) NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
dc.contributor.author.fl_str_mv |
Charrua, Alberto Bento Bandeira, Salomão O. Catarino, Silvia Cabral, Pedro Romeiras, Maria M. |
dc.subject.por.fl_str_mv |
Coastal habitats Eastern Africa Exposure index Mangrove trees MaxEnt Oceanography Aquatic Science Management, Monitoring, Policy and Law SDG 13 - Climate Action SDG 14 - Life Below Water SDG 15 - Life on Land |
topic |
Coastal habitats Eastern Africa Exposure index Mangrove trees MaxEnt Oceanography Aquatic Science Management, Monitoring, Policy and Law SDG 13 - Climate Action SDG 14 - Life Below Water SDG 15 - Life on Land |
description |
Mangrove forests are among the most productive ecosystems on Earth. However, there is still insufficient information available for strategic prediction of conservation and management intervention, particularly in the case of Mozambique. This country has the longest coastline and mangrove forests of Eastern Africa, but is prone to global climate hazards. Using recent field data and environmental parameters subjected to the Variance Inflation Factor (VIF) collinearity test (bioclimatic variables, slop, salinity, land cover, and elevation), we ran MaxEnt to model the distribution of mangrove forests based on occurrence data of the most emblematic and representative mangrove species in Mozambique (Avicennia marina and Rhizophora mucronata). Moreover, in order to understand which areas should be prioritized for management interventions on mangroves and costal dunes, an Exposure Index (EI) to climate hazards and erosion was compared with the potential distribution of these species. Our results showed that average wind speed of summer season, land surface elevation, Mean Diurnal Range, and saltwater exposure (salinity) were determinant on the distribution models of both species. The central coastal region of Mozambique (so-called swamp coast) presents the largest potentially suitable areas for mangroves species occurrence, having the highest levels of exposure. We also found that A. marina presents a higher EI than R. mucronata. The scarcity of studies concerning the central region of Mozambique; which was recently devastated by cyclone Idai (category four, 2019), which hit Mozambique and the neighbouring countries, reinforce the urgency for management intervention. The findings of this study should be used by managers and decision makers to promote best practices to safeguard lives and people's livelihoods and assets threatened by coastal climate hazards and anthropogenic impacts. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-05-01 2020-05-01T00:00:00Z 2023-03-11T01:31:50Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/94057 |
url |
http://hdl.handle.net/10362/94057 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0964-5691 PURE: 17194941 https://doi.org/10.1016/j.ocecoaman.2020.105145 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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