Modelling distribution and potential overlap between Boreal Owl Aegolius funereus and Black Woodpecker Dryocopus martius : implications for management and monitoring plans

• Published in: Bird conservation international Vol. 23; no. 4; pp. 502 - 511
• Main Authors: BRAMBILLA, MATTIA, BASSI, ENRICO, BERGERO, VALENTINA, CASALE, FABIO, CHEMOLLO, MARCO, FALCO, RICCARDO, LONGONI, VIOLETTA, SAPORETTI, FABIO, VIGANÒ, ENRICO, VITULANO, SEVERINO
• Format: Journal Article
• Language: English
• Published: Cambridge Cambridge University Press 01.12.2013
• Subjects: Aegolius funereus; Dryocopus martius; Environmental assessment; Forest conservation; Keystone species; Maximum entropy
• ISSN: 0959-2709; 1474-0001
• DOI: 10.1017/S0959270913000117

Summary Correlative species distribution models (SDMs) are increasingly widespread in the conservation literature. They can be used for a variety of purposes, including addressing practical conservation tasks on the basis of a spatially explicit assessment of environmental suitability for target taxa, which in turn allows for a transparent evaluation of needs and opportunities. Here we used the maximum entropy method (by means of the software MaxEnt) to model distribution of the rare Boreal Owl Aegolius funereus and the Black Woodpecker Dryocopus martius , which excavates the nest-holes used by the owl for breeding. We believe that monitoring surveys for Boreal Owl should consider areas suitable for both species as priority sites, whereas the provision of nest-boxes for the owl may be particularly desirable in habitat patches that are suitable for that species but not for the keystone species whose nest-holes represent the usual nest site for the owl. Finally, areas suitable for both species can represent priority areas for the conservation of forest birds in the Alps, as both species have been reported as umbrella and/or keystone species. Our example provides a possible framework to model management and monitoring opportunities in other species or species pairs, but such an approach can be used to infer the need for particular management options when both limiting factors and species distribution can be spatially modelled, and also to model the areas where different target species are more likely to overlap and interact. The use of distribution models as tools to address practical conservation tasks should also be encouraged in order to accomplish practical tasks according to sound knowledge and transparent methods.