Driving Forces of Forest Expansion Dynamics across the Iberian Peninsula (1987-2017)

This study analyzes the spatio-temporal dynamics of the drivers of forest expansion in the Iberian Peninsula for the periods 1987-2002-2017 through a 185 km-wide north-south Landsat scene transect. The analysis has considered a variety of biogeographical regions [0-3500 m.a.s.l, annual rainfalls 150...

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Autores: Padial-Iglesias, Mario|||0000-0002-8173-5353, Ninyerola i Casals, Miquel|||0000-0002-1101-0453, Serra Ruiz, Pere|||0000-0003-1023-5586, González Guerrero, Óscar|||0000-0001-8685-5971, Espelta Morral, Josep Maria|||0000-0002-0242-4988, Pino i Vilalta, Joan|||0000-0003-0939-7502, Pons, Xavier|||0000-0002-6924-1641
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:257389
Acceso en línea:https://ddd.uab.cat/record/257389
https://dx.doi.org/urn:doi:10.3390/f13030475
Access Level:acceso abierto
Palabra clave:New forests
Driving forces
Land abandonment
Boosted regression trees
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spelling Driving Forces of Forest Expansion Dynamics across the Iberian Peninsula (1987-2017)A Spatio-Temporal TransectPadial-Iglesias, Mario|||0000-0002-8173-5353Ninyerola i Casals, Miquel|||0000-0002-1101-0453Serra Ruiz, Pere|||0000-0003-1023-5586González Guerrero, Óscar|||0000-0001-8685-5971Espelta Morral, Josep Maria|||0000-0002-0242-4988Pino i Vilalta, Joan|||0000-0003-0939-7502Pons, Xavier|||0000-0002-6924-1641New forestsDriving forcesLand abandonmentBoosted regression treesThis study analyzes the spatio-temporal dynamics of the drivers of forest expansion in the Iberian Peninsula for the periods 1987-2002-2017 through a 185 km-wide north-south Landsat scene transect. The analysis has considered a variety of biogeographical regions [0-3500 m.a.s.l, annual rainfalls 150-2200 mm] and 30 explanatory variables. A rigorous map production at 30 m resolution, including detailed filtering methods and uncertainty management at pixel scale, provided high-quality land cover maps. The main forest expansion trajectories were related to explanatory variables using boosted regression trees. Proximity to previous forests was a key common factor for forest encroachment in all forest types, with other factors being distance to the hydrographic network, temperature and precipitation for broadleaf deciduous forests (BDF), precipitation, temperature and solar radiation for broadleaf evergreen forests (BEF) and precipitation, distance to province capitals, and solar radiation for needleleaf evergreen forests (NEFs). Results also showed contrasting forest expansion trajectories and drivers per biogeographic region, with a high dynamism of grasslands towards new forest in the Eurosiberian and the mountainous Mediterranean regions, a high importance of croplands as land cover origin of new forest in the Mesomediterranean, and increasing importance over time of socioeconomic drivers (such as those employed in the industry sector and the utilized agricultural area) in the Supramediterranean region but the opposite pattern in the Southern Mesomediterranean. Lower precipitation rates favored new NEFs from shrublands in the Thermomediterraean region which, together with the Northern Mesomediterranean, exhibited the highest relative rates of new forests. These findings provide reliable insights to develop policies considering the ecological and social impacts of land abandonment and subsequent forest expansion. 22022-01-0120222022-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/257389https://dx.doi.org/urn:doi:10.3390/f13030475reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengAgencia Estatal de Investigación https://doi.org/10.13039/501100011033 BES-2016-078262Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-1690Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 RTI2018-099397-B-C21open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2573892026-06-06T12:50:31Z
dc.title.none.fl_str_mv Driving Forces of Forest Expansion Dynamics across the Iberian Peninsula (1987-2017)
A Spatio-Temporal Transect
title Driving Forces of Forest Expansion Dynamics across the Iberian Peninsula (1987-2017)
spellingShingle Driving Forces of Forest Expansion Dynamics across the Iberian Peninsula (1987-2017)
Padial-Iglesias, Mario|||0000-0002-8173-5353
New forests
Driving forces
Land abandonment
Boosted regression trees
title_short Driving Forces of Forest Expansion Dynamics across the Iberian Peninsula (1987-2017)
title_full Driving Forces of Forest Expansion Dynamics across the Iberian Peninsula (1987-2017)
title_fullStr Driving Forces of Forest Expansion Dynamics across the Iberian Peninsula (1987-2017)
title_full_unstemmed Driving Forces of Forest Expansion Dynamics across the Iberian Peninsula (1987-2017)
title_sort Driving Forces of Forest Expansion Dynamics across the Iberian Peninsula (1987-2017)
dc.creator.none.fl_str_mv Padial-Iglesias, Mario|||0000-0002-8173-5353
Ninyerola i Casals, Miquel|||0000-0002-1101-0453
Serra Ruiz, Pere|||0000-0003-1023-5586
González Guerrero, Óscar|||0000-0001-8685-5971
Espelta Morral, Josep Maria|||0000-0002-0242-4988
Pino i Vilalta, Joan|||0000-0003-0939-7502
Pons, Xavier|||0000-0002-6924-1641
author Padial-Iglesias, Mario|||0000-0002-8173-5353
author_facet Padial-Iglesias, Mario|||0000-0002-8173-5353
Ninyerola i Casals, Miquel|||0000-0002-1101-0453
Serra Ruiz, Pere|||0000-0003-1023-5586
González Guerrero, Óscar|||0000-0001-8685-5971
Espelta Morral, Josep Maria|||0000-0002-0242-4988
Pino i Vilalta, Joan|||0000-0003-0939-7502
Pons, Xavier|||0000-0002-6924-1641
author_role author
author2 Ninyerola i Casals, Miquel|||0000-0002-1101-0453
Serra Ruiz, Pere|||0000-0003-1023-5586
González Guerrero, Óscar|||0000-0001-8685-5971
Espelta Morral, Josep Maria|||0000-0002-0242-4988
Pino i Vilalta, Joan|||0000-0003-0939-7502
Pons, Xavier|||0000-0002-6924-1641
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv New forests
Driving forces
Land abandonment
Boosted regression trees
topic New forests
Driving forces
Land abandonment
Boosted regression trees
description This study analyzes the spatio-temporal dynamics of the drivers of forest expansion in the Iberian Peninsula for the periods 1987-2002-2017 through a 185 km-wide north-south Landsat scene transect. The analysis has considered a variety of biogeographical regions [0-3500 m.a.s.l, annual rainfalls 150-2200 mm] and 30 explanatory variables. A rigorous map production at 30 m resolution, including detailed filtering methods and uncertainty management at pixel scale, provided high-quality land cover maps. The main forest expansion trajectories were related to explanatory variables using boosted regression trees. Proximity to previous forests was a key common factor for forest encroachment in all forest types, with other factors being distance to the hydrographic network, temperature and precipitation for broadleaf deciduous forests (BDF), precipitation, temperature and solar radiation for broadleaf evergreen forests (BEF) and precipitation, distance to province capitals, and solar radiation for needleleaf evergreen forests (NEFs). Results also showed contrasting forest expansion trajectories and drivers per biogeographic region, with a high dynamism of grasslands towards new forest in the Eurosiberian and the mountainous Mediterranean regions, a high importance of croplands as land cover origin of new forest in the Mesomediterranean, and increasing importance over time of socioeconomic drivers (such as those employed in the industry sector and the utilized agricultural area) in the Supramediterranean region but the opposite pattern in the Southern Mesomediterranean. Lower precipitation rates favored new NEFs from shrublands in the Thermomediterraean region which, together with the Northern Mesomediterranean, exhibited the highest relative rates of new forests. These findings provide reliable insights to develop policies considering the ecological and social impacts of land abandonment and subsequent forest expansion.
publishDate 2022
dc.date.none.fl_str_mv 2
2022-01-01
2022
2022-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/257389
https://dx.doi.org/urn:doi:10.3390/f13030475
url https://ddd.uab.cat/record/257389
https://dx.doi.org/urn:doi:10.3390/f13030475
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 BES-2016-078262
Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-1690
Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 RTI2018-099397-B-C21
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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