INVESTIGATION AND EVALUATION OF STONE PINE (Pinus pinea L.) POTENTIAL DISTRIBUTION UNDER CLIMATE CHANGE IN TURKEY

Detalhes bibliográficos
Autor(a) principal: Akyol, Ayhan
Data de Publicação: 2020
Outros Autores: Örücü, Ömer Kamil
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/2169
Resumo: Climate change has negative effects on especially plant species that have a limited habitat. In this context, the stone pine (Pinus pinea L.), which has a limited distribution, is prominent with its economic, ecological and aesthetical characteristics, and it is frequently preferred in afforestation. In this study, the habitats in Turkey that are suitable for P. pinea L. were modelled by using Maxent based on high-resolution environmental data. In total, 13 field-based occurrence points and 19 bioclimatic variables were used to model the potential distribution area under current and two future representative concentration pathways (RCP4.5 and RCP8.5) for the years 2050 and 2070. According to the results, the most important bioclimatic variables effective on the potential distribution of P. pinea L. were found as the minimum temperature of coldest month (Bio6), annual precipitation (Bio12) and precipitation of coldest quarter (Bio19). Prediction models under two future climate change scenarios displayed that P. pinea L. will lose habitat and it will shift geographical distribution towards north and higher elevation sites. Considering especially the economic contributions provided by P. pinea L., these results necessitate consideration of the areas where the rate of potential distribution of the species is the highest in afforestation work aiming rural development. However, in addition to habitat losses, climate change affects many variables of the ecosystem. For this reason, more comprehensive studies on climate change and species interactions should be carried out, and these interactions should also be assessed from social and economic perspectives.
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spelling INVESTIGATION AND EVALUATION OF STONE PINE (Pinus pinea L.) POTENTIAL DISTRIBUTION UNDER CLIMATE CHANGE IN TURKEYAfforestationClimate changeHabitat suitabilityMaxentSpecies distribution modelsEcologyBiodiversityHabitat distributionPlantationsSocietyClimate change has negative effects on especially plant species that have a limited habitat. In this context, the stone pine (Pinus pinea L.), which has a limited distribution, is prominent with its economic, ecological and aesthetical characteristics, and it is frequently preferred in afforestation. In this study, the habitats in Turkey that are suitable for P. pinea L. were modelled by using Maxent based on high-resolution environmental data. In total, 13 field-based occurrence points and 19 bioclimatic variables were used to model the potential distribution area under current and two future representative concentration pathways (RCP4.5 and RCP8.5) for the years 2050 and 2070. According to the results, the most important bioclimatic variables effective on the potential distribution of P. pinea L. were found as the minimum temperature of coldest month (Bio6), annual precipitation (Bio12) and precipitation of coldest quarter (Bio19). Prediction models under two future climate change scenarios displayed that P. pinea L. will lose habitat and it will shift geographical distribution towards north and higher elevation sites. Considering especially the economic contributions provided by P. pinea L., these results necessitate consideration of the areas where the rate of potential distribution of the species is the highest in afforestation work aiming rural development. However, in addition to habitat losses, climate change affects many variables of the ecosystem. For this reason, more comprehensive studies on climate change and species interactions should be carried out, and these interactions should also be assessed from social and economic perspectives.CERNECERNE2020-02-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/2169CERNE; Vol. 25 No. 4 (2019); 415-423CERNE; v. 25 n. 4 (2019); 415-4232317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/2169/1158Copyright (c) 2020 CERNEinfo:eu-repo/semantics/openAccessAkyol, AyhanÖrücü, Ömer Kamil2020-02-21T11:40:18Zoai:cerne.ufla.br:article/2169Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:41.534120Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv INVESTIGATION AND EVALUATION OF STONE PINE (Pinus pinea L.) POTENTIAL DISTRIBUTION UNDER CLIMATE CHANGE IN TURKEY
title INVESTIGATION AND EVALUATION OF STONE PINE (Pinus pinea L.) POTENTIAL DISTRIBUTION UNDER CLIMATE CHANGE IN TURKEY
spellingShingle INVESTIGATION AND EVALUATION OF STONE PINE (Pinus pinea L.) POTENTIAL DISTRIBUTION UNDER CLIMATE CHANGE IN TURKEY
Akyol, Ayhan
Afforestation
Climate change
Habitat suitability
Maxent
Species distribution models
Ecology
Biodiversity
Habitat distribution
Plantations
Society
title_short INVESTIGATION AND EVALUATION OF STONE PINE (Pinus pinea L.) POTENTIAL DISTRIBUTION UNDER CLIMATE CHANGE IN TURKEY
title_full INVESTIGATION AND EVALUATION OF STONE PINE (Pinus pinea L.) POTENTIAL DISTRIBUTION UNDER CLIMATE CHANGE IN TURKEY
title_fullStr INVESTIGATION AND EVALUATION OF STONE PINE (Pinus pinea L.) POTENTIAL DISTRIBUTION UNDER CLIMATE CHANGE IN TURKEY
title_full_unstemmed INVESTIGATION AND EVALUATION OF STONE PINE (Pinus pinea L.) POTENTIAL DISTRIBUTION UNDER CLIMATE CHANGE IN TURKEY
title_sort INVESTIGATION AND EVALUATION OF STONE PINE (Pinus pinea L.) POTENTIAL DISTRIBUTION UNDER CLIMATE CHANGE IN TURKEY
author Akyol, Ayhan
author_facet Akyol, Ayhan
Örücü, Ömer Kamil
author_role author
author2 Örücü, Ömer Kamil
author2_role author
dc.contributor.author.fl_str_mv Akyol, Ayhan
Örücü, Ömer Kamil
dc.subject.por.fl_str_mv Afforestation
Climate change
Habitat suitability
Maxent
Species distribution models
Ecology
Biodiversity
Habitat distribution
Plantations
Society
topic Afforestation
Climate change
Habitat suitability
Maxent
Species distribution models
Ecology
Biodiversity
Habitat distribution
Plantations
Society
description Climate change has negative effects on especially plant species that have a limited habitat. In this context, the stone pine (Pinus pinea L.), which has a limited distribution, is prominent with its economic, ecological and aesthetical characteristics, and it is frequently preferred in afforestation. In this study, the habitats in Turkey that are suitable for P. pinea L. were modelled by using Maxent based on high-resolution environmental data. In total, 13 field-based occurrence points and 19 bioclimatic variables were used to model the potential distribution area under current and two future representative concentration pathways (RCP4.5 and RCP8.5) for the years 2050 and 2070. According to the results, the most important bioclimatic variables effective on the potential distribution of P. pinea L. were found as the minimum temperature of coldest month (Bio6), annual precipitation (Bio12) and precipitation of coldest quarter (Bio19). Prediction models under two future climate change scenarios displayed that P. pinea L. will lose habitat and it will shift geographical distribution towards north and higher elevation sites. Considering especially the economic contributions provided by P. pinea L., these results necessitate consideration of the areas where the rate of potential distribution of the species is the highest in afforestation work aiming rural development. However, in addition to habitat losses, climate change affects many variables of the ecosystem. For this reason, more comprehensive studies on climate change and species interactions should be carried out, and these interactions should also be assessed from social and economic perspectives.
publishDate 2020
dc.date.none.fl_str_mv 2020-02-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/2169
url https://cerne.ufla.br/site/index.php/CERNE/article/view/2169
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/2169/1158
dc.rights.driver.fl_str_mv Copyright (c) 2020 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 25 No. 4 (2019); 415-423
CERNE; v. 25 n. 4 (2019); 415-423
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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