Nationwide climate-sensitive models for stand dynamics and forest scenario simulation

Projecting forest dynamics as a function of alternative management strategies and climatic conditions is key to develop sound forest policy and management planning. In Spain there is a need for a full set of climate-sensitive individual-tree growth and yield models suitable for country-level simulat...

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Autores: Trasobares, Antoni, Mola-Yudego, Blas, Aquilué, Núria, González-Olabarria, José Ramón, García-Gonzalo, Jordi, García-Valdés, Raúl, De Cáceres, Miquel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/84002
Acceso en línea:https://doi.org/10.1016/j.foreco.2021.119909
http://hdl.handle.net/10459.1/84002
Access Level:acceso abierto
Palabra clave:Climate change scenarios
Forest management
Forest planning
Ecosystem services
Soil water holding capacity
Species dispersal
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spelling Nationwide climate-sensitive models for stand dynamics and forest scenario simulationTrasobares, AntoniMola-Yudego, BlasAquilué, NúriaGonzález-Olabarria, José RamónGarcía-Gonzalo, JordiGarcía-Valdés, RaúlDe Cáceres, MiquelClimate change scenariosForest managementForest planningEcosystem servicesSoil water holding capacitySpecies dispersalProjecting forest dynamics as a function of alternative management strategies and climatic conditions is key to develop sound forest policy and management planning. In Spain there is a need for a full set of climate-sensitive individual-tree growth and yield models suitable for country-level simulations. In this paper we present environmentally driven models for forest stand dynamics based on distance-independent individual-tree growth and yield. The data for model calibration are based on the second, third and fourth surveys of the Spanish National Forest Inventory, including 50,359 plots and 838,620 trees, representing a broad gradient in forest types and environmental conditions. The results develop a total of 182 models for diameter increment, height increment, total height, survival and ingrowth for 27 species and species groups. The models are integrated into a full forest projection system to perform simulations of forest dynamics and resulting changes in the provision of ecosystem services, including the effects of climate, and forest management. Its potential is illustrated through an array of simulations of forest dynamics in the region of Catalonia under alternative climatic and management scenarios. The resulting models and projections provide a solid basis for the simulation of national or regional climate-sensitive forest scenarios, with the possibility of being applied to other regions, and may be used for future management and planning efforts.This research was supported by structural CTFC funding provided by the Department of Agriculture of the regional Government of Catalonia, the ‘Instituto Nacional de Investigaciones Agrarias’ (INIA), and the Spanish Ministry of Economy and Competitiveness (research project CGL2017–89149-C2–2-R), Ramon y Cajal fellowship (RyC2012–11109). This research also received funding from the European Union’s H2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 101007950 (DecisionES)Elsevier202220222021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1016/j.foreco.2021.119909http://hdl.handle.net/10459.1/84002http://hdl.handle.net/10459.1/84002reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2017-89149-C2-2-RReproducció del document publicat a https://doi.org/10.1016/j.foreco.2021.119909Forest Ecology Management, 2021, vol. 505, p. 119909info:eu-repo/grantAgreement/EC/H2020/101007950cc-by, (c) Trasobares et al., 2021info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/840022026-05-29T05:05:01Z
dc.title.none.fl_str_mv Nationwide climate-sensitive models for stand dynamics and forest scenario simulation
title Nationwide climate-sensitive models for stand dynamics and forest scenario simulation
spellingShingle Nationwide climate-sensitive models for stand dynamics and forest scenario simulation
Trasobares, Antoni
Climate change scenarios
Forest management
Forest planning
Ecosystem services
Soil water holding capacity
Species dispersal
title_short Nationwide climate-sensitive models for stand dynamics and forest scenario simulation
title_full Nationwide climate-sensitive models for stand dynamics and forest scenario simulation
title_fullStr Nationwide climate-sensitive models for stand dynamics and forest scenario simulation
title_full_unstemmed Nationwide climate-sensitive models for stand dynamics and forest scenario simulation
title_sort Nationwide climate-sensitive models for stand dynamics and forest scenario simulation
dc.creator.none.fl_str_mv Trasobares, Antoni
Mola-Yudego, Blas
Aquilué, Núria
González-Olabarria, José Ramón
García-Gonzalo, Jordi
García-Valdés, Raúl
De Cáceres, Miquel
author Trasobares, Antoni
author_facet Trasobares, Antoni
Mola-Yudego, Blas
Aquilué, Núria
González-Olabarria, José Ramón
García-Gonzalo, Jordi
García-Valdés, Raúl
De Cáceres, Miquel
author_role author
author2 Mola-Yudego, Blas
Aquilué, Núria
González-Olabarria, José Ramón
García-Gonzalo, Jordi
García-Valdés, Raúl
De Cáceres, Miquel
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Climate change scenarios
Forest management
Forest planning
Ecosystem services
Soil water holding capacity
Species dispersal
topic Climate change scenarios
Forest management
Forest planning
Ecosystem services
Soil water holding capacity
Species dispersal
description Projecting forest dynamics as a function of alternative management strategies and climatic conditions is key to develop sound forest policy and management planning. In Spain there is a need for a full set of climate-sensitive individual-tree growth and yield models suitable for country-level simulations. In this paper we present environmentally driven models for forest stand dynamics based on distance-independent individual-tree growth and yield. The data for model calibration are based on the second, third and fourth surveys of the Spanish National Forest Inventory, including 50,359 plots and 838,620 trees, representing a broad gradient in forest types and environmental conditions. The results develop a total of 182 models for diameter increment, height increment, total height, survival and ingrowth for 27 species and species groups. The models are integrated into a full forest projection system to perform simulations of forest dynamics and resulting changes in the provision of ecosystem services, including the effects of climate, and forest management. Its potential is illustrated through an array of simulations of forest dynamics in the region of Catalonia under alternative climatic and management scenarios. The resulting models and projections provide a solid basis for the simulation of national or regional climate-sensitive forest scenarios, with the possibility of being applied to other regions, and may be used for future management and planning efforts.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.foreco.2021.119909
http://hdl.handle.net/10459.1/84002
http://hdl.handle.net/10459.1/84002
url https://doi.org/10.1016/j.foreco.2021.119909
http://hdl.handle.net/10459.1/84002
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2017-89149-C2-2-R
Reproducció del document publicat a https://doi.org/10.1016/j.foreco.2021.119909
Forest Ecology Management, 2021, vol. 505, p. 119909
info:eu-repo/grantAgreement/EC/H2020/101007950
dc.rights.none.fl_str_mv cc-by, (c) Trasobares et al., 2021
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by, (c) Trasobares et al., 2021
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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