Effects of climate change on the distribution of Iberian tree species

Question: Will the predicted climate changes affect species distribution in the Iberian Peninsula? Location: Iberian Peninsula (Spain and Portugal). Methods: We modelled current and future tree distributions as a function of climate, using a computational framework that made use of one machine learn...

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Veröffentlicht in:Applied vegetation science 2008-04, Vol.11 (2), p.169-178
Hauptverfasser: Garzón, Marta Benito, de Dios, Rut Sánchez, Ollero, Helios Sainz
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container_title Applied vegetation science
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creator Garzón, Marta Benito
de Dios, Rut Sánchez
Ollero, Helios Sainz
description Question: Will the predicted climate changes affect species distribution in the Iberian Peninsula? Location: Iberian Peninsula (Spain and Portugal). Methods: We modelled current and future tree distributions as a function of climate, using a computational framework that made use of one machine learning technique, the random forest (RF) algorithm. This algorithm provided good predictions of the current distribution of each species, as shown by the area under the corresponding receiver operating characteristics (ROC) curves. Species turnover, richness and the change in distributions over time to 2080 under four Intergovernmental panel on climate change (IPCC) scenarios were calculated using the species map outputs. Results and Conclusions: The results show a notable reduction in the potential distribution of the studied species under all the IPCC scenarios, particularly so for mountain conifer species such as Pinus sylvestris, P. uncinata and Abies alba. Temperate species, especially Fagus sylvatica and Quercus petraea, were also predicted to suffer a reduction in their range; also submediterranean species, especially Q. pyrenaica, were predicted to undergo notable decline. In contrast, typically Mediterranean species appeared to be generally more capable of migration, and are therefore likely to be less affected. Nomenclature: Amaral Franco (1990), Govaerts & Avishai (2002) for Quercus pubescens.
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Location: Iberian Peninsula (Spain and Portugal). Methods: We modelled current and future tree distributions as a function of climate, using a computational framework that made use of one machine learning technique, the random forest (RF) algorithm. This algorithm provided good predictions of the current distribution of each species, as shown by the area under the corresponding receiver operating characteristics (ROC) curves. Species turnover, richness and the change in distributions over time to 2080 under four Intergovernmental panel on climate change (IPCC) scenarios were calculated using the species map outputs. Results and Conclusions: The results show a notable reduction in the potential distribution of the studied species under all the IPCC scenarios, particularly so for mountain conifer species such as Pinus sylvestris, P. uncinata and Abies alba. Temperate species, especially Fagus sylvatica and Quercus petraea, were also predicted to suffer a reduction in their range; also submediterranean species, especially Q. pyrenaica, were predicted to undergo notable decline. In contrast, typically Mediterranean species appeared to be generally more capable of migration, and are therefore likely to be less affected. 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Location: Iberian Peninsula (Spain and Portugal). Methods: We modelled current and future tree distributions as a function of climate, using a computational framework that made use of one machine learning technique, the random forest (RF) algorithm. This algorithm provided good predictions of the current distribution of each species, as shown by the area under the corresponding receiver operating characteristics (ROC) curves. Species turnover, richness and the change in distributions over time to 2080 under four Intergovernmental panel on climate change (IPCC) scenarios were calculated using the species map outputs. Results and Conclusions: The results show a notable reduction in the potential distribution of the studied species under all the IPCC scenarios, particularly so for mountain conifer species such as Pinus sylvestris, P. uncinata and Abies alba. Temperate species, especially Fagus sylvatica and Quercus petraea, were also predicted to suffer a reduction in their range; also submediterranean species, especially Q. pyrenaica, were predicted to undergo notable decline. In contrast, typically Mediterranean species appeared to be generally more capable of migration, and are therefore likely to be less affected. 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Temperate species, especially Fagus sylvatica and Quercus petraea, were also predicted to suffer a reduction in their range; also submediterranean species, especially Q. pyrenaica, were predicted to undergo notable decline. In contrast, typically Mediterranean species appeared to be generally more capable of migration, and are therefore likely to be less affected. Nomenclature: Amaral Franco (1990), Govaerts &amp; Avishai (2002) for Quercus pubescens.</abstract><cop>Oxford, UK</cop><pub>IAVS; Opulus Press Uppsala</pub><doi>10.3170/2008-7-18348</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-3436-123X</orcidid></addata></record>
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subjects Abies alba
air temperature
Broadleaved evergreen forests
Climate change
Climate models
climatic factors
Coniferous forests
Deciduous forests
Ecological modeling
Fagus sylvatica
Forest distributions
Forest habitats
forest trees
geographical distribution
habitats
Iberian Peninsula
International environmental cooperation
Life Sciences
Machine learning
Modeling
montane forests
Pinus sylvestris
plant adaptation
prediction
Quercus petraea
Quercus pubescens
Random forest
s
simulation models
Species
species diversity
Studies
temporal variation
title Effects of climate change on the distribution of Iberian tree species
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