Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy

Detalhes bibliográficos
Autor(a) principal: Nyamari, Nicodemus
Data de Publicação: 2021
Outros Autores: Cabral, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/120187
Resumo: Nyamari, N., & Cabral, P. (2021). Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy. Applied Geography, 133, 1-12. [102479]. https://doi.org/10.1016/j.apgeog.2021.102479
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spelling Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policyEcosystems servicesInVEST carbon modelLand cover changes modellingRandom forest decision treesREDD+ForestryGeography, Planning and DevelopmentEnvironmental Science(all)Tourism, Leisure and Hospitality ManagementSDG 13 - Climate ActionSDG 15 - Life on LandNyamari, N., & Cabral, P. (2021). Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy. Applied Geography, 133, 1-12. [102479]. https://doi.org/10.1016/j.apgeog.2021.102479Terrestrial carbon stock estimates information has significant importance in planning decisions for global warming and climate change mitigation. This study aimed to estimate and analyze carbon stock changes in Kenya as consequence of land cover change (LCC) using free open data to provide affordable and timely information. Using Random Forest (RF) decision trees, the land cover for 2028 was modelled based on 2004 and 2016 land cover under a Business as Usual (BAU) and an alternative Reducing of Emissions from Forest Degradation and Deforestation (REDD+) scenarios. The InVEST carbon model was used for estimation and valuation of carbon stock between 2004 and 2028. Results show a 16% decline in carbon stock with a loss of 21 billion US$ under the BAU scenario. On a regional scale, results show a gradual decline in carbon stock in the Coastal and Central regions while other regions exhibited mixed results. This trend can be reversed by the implementation of a REDD + scenario with a possible increase of 1.6% between 2016 and 2028, translating to a gain of 1 billion US$. This study contributes to the understanding of spatiotemporal carbon stock changes under different scenarios for effective spatial planning aiming to a balanced natural resource utilization.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNNyamari, NicodemusCabral, Pedro2023-06-04T00:31:43Z2021-08-012021-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfhttp://hdl.handle.net/10362/120187eng0143-6228PURE: 32162661https://doi.org/10.1016/j.apgeog.2021.102479info: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:RCAAP2024-03-11T05:02:46Zoai:run.unl.pt:10362/120187Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:18.530385Repositório 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 Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy
title Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy
spellingShingle Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy
Nyamari, Nicodemus
Ecosystems services
InVEST carbon model
Land cover changes modelling
Random forest decision trees
REDD+
Forestry
Geography, Planning and Development
Environmental Science(all)
Tourism, Leisure and Hospitality Management
SDG 13 - Climate Action
SDG 15 - Life on Land
title_short Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy
title_full Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy
title_fullStr Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy
title_full_unstemmed Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy
title_sort Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy
author Nyamari, Nicodemus
author_facet Nyamari, Nicodemus
Cabral, Pedro
author_role author
author2 Cabral, Pedro
author2_role author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Nyamari, Nicodemus
Cabral, Pedro
dc.subject.por.fl_str_mv Ecosystems services
InVEST carbon model
Land cover changes modelling
Random forest decision trees
REDD+
Forestry
Geography, Planning and Development
Environmental Science(all)
Tourism, Leisure and Hospitality Management
SDG 13 - Climate Action
SDG 15 - Life on Land
topic Ecosystems services
InVEST carbon model
Land cover changes modelling
Random forest decision trees
REDD+
Forestry
Geography, Planning and Development
Environmental Science(all)
Tourism, Leisure and Hospitality Management
SDG 13 - Climate Action
SDG 15 - Life on Land
description Nyamari, N., & Cabral, P. (2021). Impact of land cover changes on carbon stock trends in Kenya for spatial implementation of REDD+ policy. Applied Geography, 133, 1-12. [102479]. https://doi.org/10.1016/j.apgeog.2021.102479
publishDate 2021
dc.date.none.fl_str_mv 2021-08-01
2021-08-01T00:00:00Z
2023-06-04T00:31:43Z
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/10362/120187
url http://hdl.handle.net/10362/120187
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0143-6228
PURE: 32162661
https://doi.org/10.1016/j.apgeog.2021.102479
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 12
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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