Combining tree species composition and understory coverage indicators with optimization techniques to address concerns with landscape-level biodiversity

Detalhes bibliográficos
Autor(a) principal: Botequim, Brigite
Data de Publicação: 2021
Outros Autores: Bugalho, Miguel N., Rodrigues, Ana Raquel, Marques, Susete, Marto, Marco, Borges, Jose G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/21358
Resumo: Sustainable forest management needs to address biodiversity conservation concerns. For that purpose, forest managers need models and indicators that may help evaluate the impact of management options on biodiversity under the uncertainty of climate change scenarios. In this research we explore the potential for designing mosaics of stand-level forest management models to address biodiversity conservation objectives on a broader landscape-level. Our approach integrates (i) an effective stand-level biodiversity indicator that reflect tree species composition, stand age, and understory coverage under divergent climate conditions; and (ii) linear programming optimization techniques to guide forest actors in seeing optimal forest practices to safeguard future biodiversity. Emphasis is on the efficiency and effectiveness of an approach to help assess the impact of forest management planning on biodiversity under scenarios of climate change. Results from a resource capability model are discussed for an application to a large-scale problem encompassing 14,765 ha, extending over a 90-years planning horizon and considering two local-climate scenarios. They highlight the potential of the approach to help assess the impact of both stand and landscape-level forest management models on biodiversity conservation goals. They demonstrate further that the approach provides insights about how climate change, timber demand and wildfire resistance may impact plans that target the optimization of biodiversity values. The set of optimized long-term solutions emphasizes a multifunctional forest that guarantees a desirable local level of biodiversity and resilience to wildfires, while providing a balanced production of wood over time at the landscape scale
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spelling Combining tree species composition and understory coverage indicators with optimization techniques to address concerns with landscape-level biodiversityclimate changebiodiversity indicatorecosystem servicesmathematical programminglandscape-level planningsilvicultural practicesSustainable forest management needs to address biodiversity conservation concerns. For that purpose, forest managers need models and indicators that may help evaluate the impact of management options on biodiversity under the uncertainty of climate change scenarios. In this research we explore the potential for designing mosaics of stand-level forest management models to address biodiversity conservation objectives on a broader landscape-level. Our approach integrates (i) an effective stand-level biodiversity indicator that reflect tree species composition, stand age, and understory coverage under divergent climate conditions; and (ii) linear programming optimization techniques to guide forest actors in seeing optimal forest practices to safeguard future biodiversity. Emphasis is on the efficiency and effectiveness of an approach to help assess the impact of forest management planning on biodiversity under scenarios of climate change. Results from a resource capability model are discussed for an application to a large-scale problem encompassing 14,765 ha, extending over a 90-years planning horizon and considering two local-climate scenarios. They highlight the potential of the approach to help assess the impact of both stand and landscape-level forest management models on biodiversity conservation goals. They demonstrate further that the approach provides insights about how climate change, timber demand and wildfire resistance may impact plans that target the optimization of biodiversity values. The set of optimized long-term solutions emphasizes a multifunctional forest that guarantees a desirable local level of biodiversity and resilience to wildfires, while providing a balanced production of wood over time at the landscape scaleMDPIRepositório da Universidade de LisboaBotequim, BrigiteBugalho, Miguel N.Rodrigues, Ana RaquelMarques, SuseteMarto, MarcoBorges, Jose G.2021-05-26T14:10:14Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/21358engBotequim, B.; Bugalho, M.N; Rodrigues, A.R.; Marques, S.; Marto, M.; Borges, J.G. Combining Tree Species Composition and Understory Coverage Indicators with Optimization Techniques to Address Concerns with Landscape-Level Biodiversity. Land 2021, 10, 126https://doi.org/10.3390/land10020126info: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:RCAAP2023-03-06T14:50:48Zoai:www.repository.utl.pt:10400.5/21358Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:05:57.595788Repositório 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 Combining tree species composition and understory coverage indicators with optimization techniques to address concerns with landscape-level biodiversity
title Combining tree species composition and understory coverage indicators with optimization techniques to address concerns with landscape-level biodiversity
spellingShingle Combining tree species composition and understory coverage indicators with optimization techniques to address concerns with landscape-level biodiversity
Botequim, Brigite
climate change
biodiversity indicator
ecosystem services
mathematical programming
landscape-level planning
silvicultural practices
title_short Combining tree species composition and understory coverage indicators with optimization techniques to address concerns with landscape-level biodiversity
title_full Combining tree species composition and understory coverage indicators with optimization techniques to address concerns with landscape-level biodiversity
title_fullStr Combining tree species composition and understory coverage indicators with optimization techniques to address concerns with landscape-level biodiversity
title_full_unstemmed Combining tree species composition and understory coverage indicators with optimization techniques to address concerns with landscape-level biodiversity
title_sort Combining tree species composition and understory coverage indicators with optimization techniques to address concerns with landscape-level biodiversity
author Botequim, Brigite
author_facet Botequim, Brigite
Bugalho, Miguel N.
Rodrigues, Ana Raquel
Marques, Susete
Marto, Marco
Borges, Jose G.
author_role author
author2 Bugalho, Miguel N.
Rodrigues, Ana Raquel
Marques, Susete
Marto, Marco
Borges, Jose G.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Botequim, Brigite
Bugalho, Miguel N.
Rodrigues, Ana Raquel
Marques, Susete
Marto, Marco
Borges, Jose G.
dc.subject.por.fl_str_mv climate change
biodiversity indicator
ecosystem services
mathematical programming
landscape-level planning
silvicultural practices
topic climate change
biodiversity indicator
ecosystem services
mathematical programming
landscape-level planning
silvicultural practices
description Sustainable forest management needs to address biodiversity conservation concerns. For that purpose, forest managers need models and indicators that may help evaluate the impact of management options on biodiversity under the uncertainty of climate change scenarios. In this research we explore the potential for designing mosaics of stand-level forest management models to address biodiversity conservation objectives on a broader landscape-level. Our approach integrates (i) an effective stand-level biodiversity indicator that reflect tree species composition, stand age, and understory coverage under divergent climate conditions; and (ii) linear programming optimization techniques to guide forest actors in seeing optimal forest practices to safeguard future biodiversity. Emphasis is on the efficiency and effectiveness of an approach to help assess the impact of forest management planning on biodiversity under scenarios of climate change. Results from a resource capability model are discussed for an application to a large-scale problem encompassing 14,765 ha, extending over a 90-years planning horizon and considering two local-climate scenarios. They highlight the potential of the approach to help assess the impact of both stand and landscape-level forest management models on biodiversity conservation goals. They demonstrate further that the approach provides insights about how climate change, timber demand and wildfire resistance may impact plans that target the optimization of biodiversity values. The set of optimized long-term solutions emphasizes a multifunctional forest that guarantees a desirable local level of biodiversity and resilience to wildfires, while providing a balanced production of wood over time at the landscape scale
publishDate 2021
dc.date.none.fl_str_mv 2021-05-26T14:10:14Z
2021
2021-01-01T00:00:00Z
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/10400.5/21358
url http://hdl.handle.net/10400.5/21358
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Botequim, B.; Bugalho, M.N; Rodrigues, A.R.; Marques, S.; Marto, M.; Borges, J.G. Combining Tree Species Composition and Understory Coverage Indicators with Optimization Techniques to Address Concerns with Landscape-Level Biodiversity. Land 2021, 10, 126
https://doi.org/10.3390/land10020126
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.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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
repository.mail.fl_str_mv
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