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Spatially Explicit Models in Local Dynamics Analysis: The Potential Natural Vegetation (PNV) as a Tool for Beach and Coastal Management

  • Francisco GutierresEmail author
  • Pedro Gomes
  • Jorge Rocha
  • Ana Cláudia Teodoro
Chapter
Part of the Coastal Research Library book series (COASTALRL, volume 24)

Abstract

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 the sites of Natura 2000 Network ‘Sado Estuary’ and ‘Comporta-Galé’ based on the vegetation series and the main environmental variables. The modelling approach is based on the distribution of communities referred to as classification then modelling.

Subsequently, several statistical model-fitting techniques, such as regression models, machine learning and rule-based, were successfully applied to the survey data (9 vegetation series; and 7 environmental/predictor variables). The spatial database was organized as a Geographic 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 the sites of Natura 2000 Network ‘Sado Estuary’ and ‘Comporta-Galé’, and presented an overall accuracy of 86%. 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 VNP in beach and coastal sand dunes environments.

Keywords

Potential natural vegetation Predictive modelling Species distribution models Habitat restoration Beach and coastal management 

Notes

Acknowledgments

The authors would like to thank Foundation for Science and Technology (FCT) (PhD Project «Structure and dynamics of habitats and landscapes of Sado Estuary and Comporta/Galé Places»/SFRH/BD/45147/2008) for their funding of this research.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Francisco Gutierres
    • 1
    Email author
  • Pedro Gomes
    • 2
  • Jorge Rocha
    • 3
  • Ana Cláudia Teodoro
    • 4
  1. 1.Big Data Analytics UnitEurecat – Technology Centre of CataloniaBarcelonaSpain
  2. 2.Department of Environment and AgricultureNational Statistics InstituteLisbonPortugal
  3. 3.Institute of Geography and Spatial PlanningUniversidade de LisboaLisboaPortugal
  4. 4.Earth Sciences Institute (ICT) and Department of Geosciences, Environment and Land Planning, Faculty of SciencesUniversity of PortoPortoPortugal

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