Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demand
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/10198/23391 |
Resumo: | There is an increasing interest in forest biomass for energy throughout Europe, which is seen as a way of promoting forest mobilization and economic development locally, in particular in regions where forest biomass is available but its use is limited by lack of demand. This study was conducted to define, evaluate and select viable forest industry scenarios to increasing forest mobilisation in the North of Portugal using AppTitudefi, a Forest Management Decision Support Systems (FMDSS) considering spatially explicitly supply (biomass growth and yield), demand (industry), and supply-demand interactions (markets). The protocol followed combined a set of indicators of sustainable forest management to guide the selection of the best industry solutions in terms of location, dimension, forest biomass and other variables defined as objectives. The simulations allowed the selection of a small set of industry scenarios compatible with an existing plant outside the study area, increasing wood mobilization, preventing overexploitation and competition among industries but increasing value and price of forest biomass. The results of the application of this FMDSS showed that introducing new biomass plants in the region will increase sustainable forest mobilization and related local development. AppTitudefi revealed to be a powerful and reliable tool to assist forest planning. |
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Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demandAppTitudefiHeuristicsLinear programmingMAUTStochasticThere is an increasing interest in forest biomass for energy throughout Europe, which is seen as a way of promoting forest mobilization and economic development locally, in particular in regions where forest biomass is available but its use is limited by lack of demand. This study was conducted to define, evaluate and select viable forest industry scenarios to increasing forest mobilisation in the North of Portugal using AppTitudefi, a Forest Management Decision Support Systems (FMDSS) considering spatially explicitly supply (biomass growth and yield), demand (industry), and supply-demand interactions (markets). The protocol followed combined a set of indicators of sustainable forest management to guide the selection of the best industry solutions in terms of location, dimension, forest biomass and other variables defined as objectives. The simulations allowed the selection of a small set of industry scenarios compatible with an existing plant outside the study area, increasing wood mobilization, preventing overexploitation and competition among industries but increasing value and price of forest biomass. The results of the application of this FMDSS showed that introducing new biomass plants in the region will increase sustainable forest mobilization and related local development. AppTitudefi revealed to be a powerful and reliable tool to assist forest planning.This research was funded through the EU 7th Framework Programme for Research, Technological Development, and Demonstration (agreement no. 613762: SIMWOOD—Sustainable Innovative Mobilisation of Wood). J.C.A received partial support from Foundation for Science and Technology (FCT), Portugal through CIMO (UIDB/00690/2020). F.P_R received partial support from the Department of Economy, Industry and Competitiveness, Spanish Government, grant no. PTQ-16-08633.Biblioteca Digital do IPBPérez-Rodríguez, FernandoAzevedo, João2018-01-19T10:00:00Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/23391engPérez-Rodríguez, Fernando; Azevedo, João C. (2020). Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demand. Applied Sciences. ISSN 2076-3417. 10:18, p. 1-2910.3390/APP10186297info: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:RCAAP2023-11-21T10:52:18Zoai:bibliotecadigital.ipb.pt:10198/23391Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:14:23.633354Repositório 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 |
Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demand |
title |
Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demand |
spellingShingle |
Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demand Pérez-Rodríguez, Fernando AppTitudefi Heuristics Linear programming MAUT Stochastic |
title_short |
Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demand |
title_full |
Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demand |
title_fullStr |
Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demand |
title_full_unstemmed |
Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demand |
title_sort |
Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demand |
author |
Pérez-Rodríguez, Fernando |
author_facet |
Pérez-Rodríguez, Fernando Azevedo, João |
author_role |
author |
author2 |
Azevedo, João |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Pérez-Rodríguez, Fernando Azevedo, João |
dc.subject.por.fl_str_mv |
AppTitudefi Heuristics Linear programming MAUT Stochastic |
topic |
AppTitudefi Heuristics Linear programming MAUT Stochastic |
description |
There is an increasing interest in forest biomass for energy throughout Europe, which is seen as a way of promoting forest mobilization and economic development locally, in particular in regions where forest biomass is available but its use is limited by lack of demand. This study was conducted to define, evaluate and select viable forest industry scenarios to increasing forest mobilisation in the North of Portugal using AppTitudefi, a Forest Management Decision Support Systems (FMDSS) considering spatially explicitly supply (biomass growth and yield), demand (industry), and supply-demand interactions (markets). The protocol followed combined a set of indicators of sustainable forest management to guide the selection of the best industry solutions in terms of location, dimension, forest biomass and other variables defined as objectives. The simulations allowed the selection of a small set of industry scenarios compatible with an existing plant outside the study area, increasing wood mobilization, preventing overexploitation and competition among industries but increasing value and price of forest biomass. The results of the application of this FMDSS showed that introducing new biomass plants in the region will increase sustainable forest mobilization and related local development. AppTitudefi revealed to be a powerful and reliable tool to assist forest planning. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-19T10:00:00Z 2020 2020-01-01T00:00:00Z |
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/10198/23391 |
url |
http://hdl.handle.net/10198/23391 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Pérez-Rodríguez, Fernando; Azevedo, João C. (2020). Evaluation of forest industry scenarios to increase sustainable forest mobilization in regions of low biomass demand. Applied Sciences. ISSN 2076-3417. 10:18, p. 1-29 10.3390/APP10186297 |
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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1799135423270748160 |