Forecasting the poleward range expansion of an intertidal species driven by climate alterations

• Tipo: Artigo em Revista Científica Internacional
• Data: 2010

Autores

xavier, r (Autor) Outra; lima, fp (Autor) Outra; santos, am (Autor) FCUP

Revista

Título: Scientia Marina

Vol. 74

Páginas: 669-676

ISSN: 0214-8358

Editora: CSIC - Consejo Superior de Investigaciones Científicas

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da terra e ciências do ambiente

Outras Informações

ID Authenticus: P-003-0TV

DOI: 10.3989/scimar.2010.74n4669

Abstract (EN): Accurate distributional models can be used to reliably predict the response of organisms to climatic changes. Though such models have been extensively applied to terrestrial organisms, they have hardly ever been applied to the marine environment. Recent changes in the distribution of the marine gastropod Patella rustica (L.) were previously modelled with Classification and Regression Tree (CART) and the results revealed that increases in temperature were the major driver of those changes. However, the accuracy scores during the validation of the model were unsatisfactory, preventing its use for forecasting purposes. To fulfil this objective, in the present study a more robust method, Artificial Neural Network (ANN), was employed to produce a model suited to forecasting changes in the distribution of P. rustica. Results confirmed that the ANN model behaved better than the CART, and that it could be used for forecasting future distributional scenarios. The model forecasts that by the 2020s P. rustica is likely to expand its range at least 1000 km northwards. These results should be interpreted with caution considering the dispersal limitations of this species, but if such an expansion took place, major changes in the colonized ecosystems are expected due to the key role of limpets in intertidal communities.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8