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SummaryCorrelative 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.

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The Eurasian Bittern Botaurus stellaris suffered declines in western Europe during the 20th century, partly because of wetland reclamation. The species has been traditionally considered a reedbed specialist but recent studies identified a greater ecological plasticity than previously believed. We investigated habitat associations of a Eurasian Bittern population that has started to breed in the ricefields of northwest Italy since the early 1990s. Booming Bitterns had a higher probability of occurring in ricefields with taller rice plants, more vegetated field banks, more weeds, a larger surface and closer to remaining natural wetlands. The positive effect of field bank vegetation height on the probability that a ricefield hosted a booming Bittern declined late in the season, in contrast to the effects of weeds and ricefield area, which were stronger later in the season. A decreasing importance of vegetation on field banks to booming Bitterns may be a consequence of seasonal changes in habitat structure through the Bittern's breeding period. The degree of flooding did not affect the probability of occurrence of booming Bitterns, probably because most ricefields were homogeneously flooded during the peak breeding season (June-July). Our findings have important implications for the management of Bittern populations breeding in the ricefields of northwest Italy. We propose simple conservation actions that may favour the occurrence of booming Bitterns and help the species spread in this novel habitat.

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