INVESTIGATION AND EVALUATION OF STONE PINE (Pinus pinea L.) POTENTIAL DISTRIBUTION UNDER CLIMATE CHANGE IN TURKEY
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
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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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 |
_version_ |
1799874943791398912 |