Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Similars in SciELO
Share
Finisterra - Revista Portuguesa de Geografia
Print version ISSN 0430-5027
Abstract
GUTIERRES, Francisco et al. Modelling the Potential natural vegetation in the Loures Municipality (Lisbon Metropolitan Area). Finisterra [online]. 2015, n.99, pp.31-62. ISSN 0430-5027. https://doi.org/10.18055/Finis3146.
The concept of Potential natural Vegetation (PNV) and its mapping have become extremely important within the scope of habitat restoration in almost every European country. The aim of this study is to predict the PNV in Loures based on the vegetation series and the main environmental variables. The modelling approach is based on the distribution of communities referred to as classification-thenmodelling. Subsequently, several statistical model-fitting techniques, such as regression models, machine learning and rule-based, were successfully applied to the survey data (vegetation series; and 8 environmental/predictor variables). The spatial database was organized as a geo graphic information system (GIS) and was also used to perform the species Distribution Models (SDM) at community level. The results show a high correspondence between the vegetation series and the environmental gradients. The predicted PNV maps based on the Maximum entropy Model were validated with the official map of the PNV of Loures, and presented an overall accuracy of 88%. Often, conservation planning and biodiversity resource management is carried out at more detailed scales, where SDM allows integration of community direct observations and improve our interpretation of PNV local distributions along environmental gradients
Keywords : Potential natural Vegetation; vegetation series; spatial modeling and land use planning; Loures; Portugal.