Evidence map›Paper›PMID 39967758›Full record

ArticleEcology and evolution2025

Unrecorded Butterfly Species and Potential Local Extinctions: The Role of Citizen Science and Sampling.

S Alberti, A Pollo, C Cerrato, R Viterbi, E Balletto, L Dapporto, S Bonelli, I Piccini

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

S AlbertiDepartment of Life Sciences and Systems Biology University of Turin Turin Italy.
A PolloDepartment of Life Sciences and Systems Biology University of Turin Turin Italy.
C CerratoDepartment of Life Sciences and Systems Biology University of Turin Turin Italy.
R ViterbiGran Paradiso National Park Turin Italy.
E BallettoDepartment of Life Sciences and Systems Biology University of Turin Turin Italy.
L DapportoDepartment of Biology University of Florence Florence Italy.
S BonelliDepartment of Life Sciences and Systems Biology University of Turin Turin Italy.
I PicciniDepartment of Life Sciences and Systems Biology University of Turin Turin Italy.ORCID https://orcid.org/0000-0001-8468-2587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating species extinction risk is crucial to reverse biodiversity loss and to adopt proper conservation measures. Different sources may play a pivotal role in prioritising species conservation. Recently, citizen science demonstrated a substantial role, especially when it comes to butterflies. This study examines species records and richness in Aosta Valley, which represents one of the highest mountain areas in Europe. Through 30,351 data points from 1825 to 2022, the impact and efficiency of three groups of data sources were investigated: literature (i.e., publications and collections), sampling (butterfly experts' recording), and citizen science (open-source databases). The study also aims to assess the extinction potential of the butterflies in relation to functional traits. The results showed that even if there were significant differences in the number of records between the three sources, there were no significant differences for species recorded. Moreover, 2.9% of the butterfly community risks extinction, and it is related to some response traits. Indeed, extinction risks increase when the altitudinal range decreases and for multivoltines. In conclusion, citizen science has a strong impact on the amount of data and could be exploited to fill data gaps at low/medium altitudes. However, professional sampling is needed to focus on species no longer reported, and in particular on species that are difficult to identify, have specific distributions or particular traits (e.g., limited altitudinal range). Using different data sources, extinction risk estimation, and trait analysis, it is possible to prioritise studies on some species using different efforts (sampling and/or citizen sciences).

Indexed as

altitudecitizen scienceconservationecological traits; historical dataparkstemporal distribution

Identifiers

PMID39967758
PMCPMC11832908

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.