New distributional data of the protected butterfly Papilio alexanor Esper, 1800 in north-western Italy and some ecological observations (Lepidoptera Papilionidae)

Anselmo, Luca

doi:10.31396/biodiv.jour.2021.12.1.21.26

Cited by 1 publication

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“…According to [32], 2014 species are present in Italy. Within Italy, one of the most biodiverse sites is the Susa valley (Piedmont, NW, Italy), with several protected and/or endemic or evolutionarily significant unit (ESU) species [33][34][35][36][37]. The moth fauna of this area was largely explored in the past by several authors (e.g., [38], who scored 973 species of moths included in the Bombicidae, Geometridae, Sphingidae and Noctuidae families).…”

Section: Introductionmentioning

confidence: 99%

Macro-moth (Lepidoptera) Diversity of a Newly Shaped Ecological Corridor and the Surrounding Forest Area in the Western Italian Alps

et al. 2023

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In addition to the compilation of biodiversity inventories, checklists, especially if combined with abundance data, are important tools to understand species distribution, habitat use, and community composition over time. Their importance is even higher when ecological indicator taxa are considered, as in the case of moths. In this work, we investigated macro-moth diversity in a forest area (30 ha) in the Western Italian Alps, recently subjected to intense management activities. Indeed, an ecological corridor, which includes 10 clearings, has been shaped thanks to forest compensation related to the construction site of the Turin–Lyon High-Speed Railway. Here, we identified 17 patches (9 clearings and 8 forests), and we conducted moth surveys using UV–LED light traps. A total of 15,614 individuals belonging to 442 species were collected in 2020 and 2021. Two and fifteen species are new records for Piedmont and for Susa Valley, respectively. In addition to the faunistic interest of the data, this study—using a standardized method—provides geo-referenced occurrences, species-richness, and abundance values useful to compile a baseline dataset for future comparisons. Indeed, the replicable and easy shareable method allows us to make comparisons with other research and thus assess the impact of environmental changes.

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