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Adil GÜNER, Vehbi ESER - optima

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CLIMATIC SUITABILITY OF TREE SPECIES FROM THE IBERIAN<br />

PENINSULA UNDER CLIMATE CHANGE SCENARIOS<br />

Francisco LLORET 1,2 , J. SERRA 3 , M. NINYEROLA 3 , T. KEENAN 2 , S. SABATE 2,4 .<br />

1 Ecology Unit, Department of Animal Biology, Plant Biology and Ecology, Autonomous University of Barcelona<br />

(UAB), 08193, Barcelona, Spain.; Francisco.Lloret@uab.es<br />

2 Center of Ecological Research and Forestry Applications (CREAF), Autonomous University of Barcelona (UAB),<br />

08193, Barcelona, Spain.<br />

3 Botany Unit, Department of Animal Biology, Plant Biology and Ecology, Autonomous University of Barcelona<br />

(UAB), 08193, Barcelona, Spain.<br />

4 Department of Ecology, University of Barcelona (UB), 08007, Barcelona, Spain.<br />

Assessing the potential future of current forest stands is key to designing conservation strategies<br />

and understanding potential future impacts to ecosystem service supplies. This is particularly true<br />

in the Mediterranean basin, where important future climatic changes are expected. We have<br />

characterized the climatic suitability of more than fifty tree species of the Iberian Peninsula from<br />

current information of the distribution of these species. Then we have mapped the areas with<br />

future climatic suitability for each species under scenarios of climatic change. We used<br />

Generalized Linear Models to model topo-climatic species suitability, based on presence/absence<br />

plots from the Third Spanish National Inventory (SNI). To ensure robustness, only uncorrelated<br />

topo-climatic variables were chosen and 250 subsets of presence/absence were used for each<br />

species. Area Under the ROC Curve (AUC) was used to assess the accuracy of the models,<br />

showing good performance of the models. Climate change impact on the distribution was<br />

addressed projecting the models to the A1FI and A2 scenarios derived from the HadCM3<br />

simulation, developed at the Hadley Centre-UK. We downscaled these values by adding the<br />

predicted mean increase or decline of temperature and precipitation (2050-2080) to the Digital<br />

Climatic Atlas of the Iberian Peninsula.<br />

In addition to the performance of each individual species, pattern of co-occurrence of some pair<br />

of species such as Abies alba and Fagus sylvatica were also investigated. The results showed an<br />

overall decrease of the topo-climatic suitability of both species, allowing identify areas<br />

potentially playing a crucial role as a climatic refugee (Pyrenees mountain range). Accordingly,<br />

current mixed forests of these species will not undergo significant changes because of its current<br />

restricted distribution in the Pyrenees.<br />

Finally we have also compared the modeling approach of climatic suitability (niche-based<br />

models) to the results of the process-based terrestrial biogeochemical model GOTILWA+ that<br />

has been developed in the Mediterranean region to explore how forests are influenced by water<br />

stress, tree stand structure, management techniques, soil properties, and climate (including CO2)<br />

change. We projected the future of current stands of three forest species (Pinus sylvestris, Pinus<br />

halepensis, Quercus ilex) with contrasting distributions, using regionalized climate for<br />

continental Spain. Results highlight variability in model ability to estimate current distributions,<br />

and the inherent large uncertainty involved in making projections into the future. Despite<br />

increased drought stress, CO2 fertilization through projected increased atmospheric CO2<br />

concentrations is shown to increase forest productivity in the mechanistic process based model<br />

that of the non- CO2 fertilisation scenario by the period 2050-2080. This highlights the<br />

importance of introducing aspects of plant biogeochemistry into current niche-based models for a<br />

realistic projection of future species distributions.<br />

13<br />

Keywords: climate change, Iberian Peninsula, niche-based model, Pinus sylvestris, Pinus<br />

halepensis, process-based biogeochemical, model species distribution, Quercus ilex tree.<br />

25<br />

Oral Lectures

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