1216 | 926 | pinus pinea & quercus suber mixed forests: building a species distibuiton model for portugal | David Lloberas Lafuente, Alexandra C. Correia, António M. Monteiro,
In the face of the different phenomena linked to global change, it is necessary to explore alternatives of resilience and sustainability for Mediterranean forests, such as mixed stands of Pinus pinea and Quercus suber, a combination with the possibility of expanding ecosystem services compared to traditional monospecific forest management. Analyzing current and future territorial problems through the concept of global change is important to understand the multiple geographical causes of these: climate change, rural exodus, concentration of property, market integration, etc._x000D_
_x000D_
Forest stands in the form of ‘dehesa’ – known as ‘montado’ in Portuguese – constitute a paradigmatic example of this anthropic impact on the territory, as it is a forest formation created by human action for the agro-silvo-pastoral use of the ‘saltus’. Precisely, it is in this type of managed forest formation that the mixture between stone pine and cork oak can be a successful formula. This geographical analysis aims to influence the territory by providing agents with the necessary information on how and where this forest policy can be beneficial._x000D_
_x000D_
For this purpose, probabilistic species distribution models (SDM) were created with the aim of i) identifying the influence of each explanatory variable on the distribution of species; and ii) estimating the suitability of the Portuguese mainland territory for the eventual presence of the two species together. The models are built on the relationship between the current presence/absence of the studied species and a series of climatic and soil-related determining variables. Two algorithms from different families have been used: Generalized Linear Model and Random Forests._x000D_
David Lloberas Lafuente, Alexandra C. Correia, António M. Monteiro,
Instituto Sup. de Agrionomia, Universidade de Lisboa
ID Abstract: 926