2023 Annual Butterfly Report

Glanville Fritillary

Melitaea cinxia

Checklist Number
59.034

Priority
Top

Classification

Family:Nymphalidae
Subfamily:Nymphalinae
Genus:Melitaea
Species:cinxia
Authority:(Linnaeus, 1758)

Introduction

The Glanville Fritillary is named after Lady Eleanor Glanville, a 17th century Lepidopterist who discovered this species in Lincolnshire. After her death, one of her sons contested her will on the grounds of lunacy, as eloquently described by Moses Harris in "The Aurelian" in 1766: "This Fly took its Name from the ingenious Lady Glanvil, whose Memory had like to have suffered for her Curiosity. Some Relations that was disappointed by her Will, attempted to let it aside by Acts of Lunacy, for they suggested that none but those who were deprived of their Senses, would go in Pursuit of Butterflies". This butterfly was formerly found in many colonies in south-east England as far north as Lincolnshire, although it is at the northern limit of its range in the British Isles. Today it is found mainly on the south coast of the Isle of Wight, with the occasional colony, typically short-lived, appearing on the South Hampshire coast. There is also an unauthorised introduction in North Somerset. This butterfly is also found on Guernsey and Alderney in the Channel Islands. This butterfly forms discrete colonies with little interchange between them. However, the odd stray will turn up several miles from any known colony.

Trends (2023)

#Individuals #Tetrads
2022 2023 Abundance Trend 2022 2023 Distribution Trend
638724+13%2618-30%

Records Summary

#Records #Individuals Earliest Record Latest Record
All Records2,37728,56108/04/200709/07/2010
202312672416/5/202329/6/2023

Records Details (2023)

Location Date Quantity
Earliest RecordWheelers Bay16/5/20234
Latest RecordMottistone Down transect: Section 529/6/20234
Highest CountCompton Farm9/6/202352

Records Distribution (2023)

Highslide JS

Records / Recorders 25-Year Trend
(1999 - 2023)

Records by Week
(2023)

Abundance 25-Year Trend
(1999 - 2023)

Distribution 25-Year Trend
(1999 - 2023)

One of the issues with 'raw' trend data is that there is inherent bias based on the number of recorders. For example, the number of individuals and populated tetrads recorded are likely to increase if there is an increase in the number of recorders. In order to remove this bias, the normalised trends use data that has been recalculated using the average number of recorders over the trend period. This normalisation gives a much better picture of the true trends.

Normalised Abundance 25-Year Trend
(1999 - 2023)

Average #Recorders: 23.08

Normalised Distribution 25-Year Trend
(1999 - 2023)

Average #Recorders: 23.08