Adil GÜNER, Vehbi ESER - optima
Adil GÜNER, Vehbi ESER - optima
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 />
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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