Testing a novel spatially-explicit dynamic modelling approach in the scope of the laurel forest management for the endangered Azores bullfinch (Pyrrhula murina) conservation

• Type: Article in International Scientific Journal
• Date: 2012

Authors

Rita Bastos (Author) Other; Mario Santos (Author) Other; Jaime Albino Ramos (Author) Other; Joana Vicente (Author) Other; Carlos Guerra (Author) Other; Joaquim Alonso (Author) Other; Joao Honrado (Author) FCUP; Ricardo Santos Ceia (Author) Other; Sergio Timoteo (Author) Other; Joao Alexandre Cabral (Author) Other

Journal

Title: Biological Conservation

Vol. 147

Pages: 243-254

ISSN: 0006-3207

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 25 Citations

Scopus - 29 Citations

Scientific classification

FOS: Natural sciences > Biological sciences

Other information

Authenticus ID: P-002-C91

DOI: 10.1016/j.biocon.2012.01.009

Abstract (EN): The Azores bullfinch (Pyrrhula murina) is an endemic bird of Sao Miguel island (Azores Archipelago, Portugal), currently threatened by two of the major causes of biodiversity loss worldwide: invasion of native habitats by exotic plants and habitat destruction by land use changes. The aim of this research was to develop and test a novel spatially explicit modelling framework that predicts the Azores bullfinch responses to alternative realistic scenarios of native forest management. This was done by integrating Multi-Model Inference statistical analysis, Stochastic-Dynamic Modelling and Geographic Information Systems under a common framework relating bird population trends to changes in the surrounding habitats. Overall, in the next 25 years, the Azores bullfinch breeding population was predicted to increase around 19% as a consequence of habitat management actions already implemented ("LIFE Priolo" project) or around 27% in the context of realistic future habitat restoration scenarios. These results represent, respectively, a supplementary increase of more 6% or more 13% in the Azores bullfinch abundance when compared with the trends simulated for the scenario without management. Nevertheless, those actions seemed to be relatively ineffective in promoting the expansion of the species from the actual restricted favourable area, essentially due to local forestry dynamics and on-going plant invasion processes. This novel integrative approach provides a promising baseline to support ecological models with increased realism and predictive power, making the outputs more useful and intuitive to decision-makers and environmental managers.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12