Viglino A.,Instituto Superiore per la Protezione e la Ricerca Ambientale |
Viglino A.,University Cattolica Del ore |
Caniglia R.,Instituto Superiore per la Protezione e la Ricerca Ambientale |
Ruiz-Gonzalez A.,Instituto Superiore per la Protezione e la Ricerca Ambientale |
And 13 more authors.
Hystrix | Year: 2016
In the last century bat populations significantly declined mainly due to habitat fragmentation and degradation. As management-dependent species, bats need appropriate monitoring programs for the implementation of sound conservation strategies. However, bats’ small size, high mobility, elusiveness and nocturnal lifestyle make them difficult to survey. Non-Invasive Genetic Sampling (NIGS) may offer safe and cost-effective solutions, but requires well-planned sampling strategies, informative molecular markers and reliable laboratory protocols. Here we developed a NIGS protocol for species and individual identification of three mouse-eared bats, the Geoffroy’s bat (Myotis emarginatus), the long-fingered bat (Myotis capaccinii) and the Daubenton’s bat (Myotis dauben-tonii). Species identification was accomplished by mitochondrial (mt) DNA sequencing of reference tissue (n=49) and droppings (n=285) from Central-Northern Italy. In addition, we optimized a multiplex panel of seven microsatellites suitable for species and individual identification of the three species from droppings. We obtained a good success with mtDNA sequencing (245/285; 86%) and microsatellite genotyping (129/245; 53%). All microsatellites were successfully amplified with low error rates, and were polymorphic in the three Myotis species, with probabilities of identity ≤ 0.001 and observed heterozygosities of Ho=0.48 in M. emarginatus, 0.62 in M. capaccinii and 0.71 in M. daubentonii. Our protocol represents a useful tool for population genetic studies on mouse-eared bats that could likely be extended to other bat species and provide useful information to implement effective conservation plans. © 2017, Associazione Teriologica Italiana onlus. All rights reserved.
Campedelli T.,D.R.E.AM Italia |
Buvoli L.,FaunaViva |
Bonazzi P.,FaunaViva |
Calabrese L.,LIPU |
And 11 more authors.
Avocetta | Year: 2012
Since 2000, the Mito2000 project aims to monitor populations of common Italian breeding species. Every year, chosen by means of a randomized design, a variable number of 10x10 km grid squares are surveyed, doing, for each of these, 15 point counts of 10 minutes length. On his twelfth year, 643 are the squares surveyed at least two times and therefore useful to estimate population trends (using the software Trim). At the beginning of the project, 103 target species were identified and now, for 87 of these, defined population trends are now available; in addition, defined trends are also available for other 30 non-target species. Grouping the target species according to their ecology, the results point out a clear decrease in farmland birds (FBI index), and even a greater decrease for the species of mountain grasslands (PM index); by contrast, woodland species index increases sharply (WBI index). These results agree well with the results of sibling projects in other European countries, confirming the known trends in the evolution of environmental systems, stressing the reliability of Mito2000 project for monitoring trends in a group of important biodiversity indicators, the breeding birds. © 2012 CISO.
Ambrosini R.,University of Milan Bicocca |
Bani L.,University of Milan Bicocca |
Massimino D.,University of Milan Bicocca |
Fornasari L.,FaunaViva |
Saino N.,University of Milan
Bird Study | Year: 2011
Capsule The information on the spatial distribution of cattle farming stored in public bovine computerized databases can predict the distribution and abundance of breeding Barn Swallow Hirundo rustica L. across Europe. Aims To develop and validate models of habitat factors which account for the distribution of breeding Barn Swallow colonies. Results The models were based on data on the distribution of cattle farming provided by the public Bovine Computerized Database of the Regione Lombardia (northern Italy). Cattle distribution was a strong predictor of presence and size of Barn Swallow colonies as well as of the number of swallow colonies in a municipality. The models were robust and passed a cross-validation procedure and were used to estimate the spatial distribution of about 116,000 breeding pairs in a wide area (8695 km 2) of the low Po plain of northern Italy in 2001. Conclusions Bovine computerized databases are mandatory in all European Union (EU) countries according to the EU Regulation (CE) 1760/2000. They may serve as a basis for wide scale modelling of the distribution and abundance of breeding Barn Swallow in Europe. © 2011 British Trust for Ornithology.