Assessment of the vulnerability of coastal mangrove ecosystems in Mozambique

Detalhes bibliográficos
Autor(a) principal: Charrua, Alberto Bento
Data de Publicação: 2020
Outros Autores: Bandeira, Salomão O., Catarino, Silvia, Cabral, Pedro, Romeiras, Maria 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/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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spelling 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 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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