Spatially Explicit Models in Local Dynamics Analysis: The Potential Natural Vegetation (PNV) as a Tool for Beach and Coastal Management
- 1.2k Downloads
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.
KeywordsPotential natural vegetation Predictive modelling Species distribution models Habitat restoration Beach and coastal management
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.
- Bohn U, Gollub G, Hettwer C, Neuhäuslová Z, Schlüter H, Weber H (2003) Map of the natural vegetation of Europe 1–3. Federal Agency for Nature Conservation, Bonn-Bad GodesbergGoogle Scholar
- Braun-Blanquet J (1932) Plant sociology – the study of plant communities. Trans. George D. Fuller and Henry S. Conrad. McGraw-Hill Book Company, Inc, New YorkGoogle Scholar
- Cancela d’Abreu A, Pinto Correia T, Oliveira R (2004) Contributos para a identificação e caracterização da paisagem em portugal continental (Vol. IV). Universidade de Évora, DGOTDU, ÉvoraGoogle Scholar
- Capelo J (2007) Nemorum transtaganae descriptio. Sintaxonomia numérica das comunidades florestais e Pré-florestais do baixo alentejo. Docetoral dissertation, Universidade Técnica de Lisboa, Instituto Superior de Agronomia, LisboaGoogle Scholar
- Costa JC, Arsénio P, Monteiro-Henriques T et al (2009) Finding the boundary between eurosiberian and mediterranean salt marshes. In: Silva CP (ed) ICS2009, conducted at the 10th international coastal symposium, 2009 Apr Lisboa, J Coastal Res, Special Issue 2009, 56:1340–1344Google Scholar
- Costa JC, Neto C, Aguiar C et al (2012) Vascular plant communities in Portugal (Continental, the Azores and Madeira). Global Geobotany 2:1–180Google Scholar
- Franklin J (2009) Mapping species distributions: spatial inference and prediction. Cambridge University Press, LondonGoogle Scholar
- Gutierres F (2014) Estrutura e dinâmica dos habitats e da paisagem dos sítios estuário do sado e comporta/galé – um contributo para a gestão e restauro ecológico. Doctoral dissertation, Institute of Geography and Spatial Planning, Universidade de LisboaGoogle Scholar
- Gutierres F, Gabriel L, Emídio A, Mendes P, Neto C, Reis E (2015) Modeling potential natural vegetation (PNV) of the loures council (Lisbon, Portugal). Finisterra L 99:31–62Google Scholar
- Gutierres F, Gil A, Reis E, Lobo A, Neto C, Calado H, Costa JC (2011) Acacia saligna (Labill.) H. Wendl in the sesimbra council: invaded habitats and potential distribution modeling. J Coastal Res SI 64:403–407Google Scholar
- Kleinbaum DG, Kupper LL, Nizam A, Muller KE (eds) (2007) Applied regression analysis and other multivariable methods, Duxbury applied series, 4th edn. Cengage Learning, BostonGoogle Scholar
- Neto C (2002) A flora e a vegetação do superdistrito sadense (Portugal). Guineana 8:1–269Google Scholar
- Neto C, Moreira MESA, Caraça RM (2005) Landscape ecology of the sado river estuary (Portugal). Quercetea 7:43–64Google Scholar
- Neto C, Pereira E, Reis E, Costa JC, Capelo J, Henriques C (2008) Carta da vegetação natural potencial de caldas da rainha. Finisterra 43(86):31–56Google Scholar
- Rivas-Martínez S (1987) Memória del mapa de séries de vegetación de España 1: 400.000. ICONA, MadridGoogle Scholar
- Tüxen R (1956) Die heutige potentielle natürliche vegetation als gegenstand der vegetationskartierung. Angew Pflanzensoz (Stolzenau) 13:5–42Google Scholar