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Turnover and trends in butterfly communities on two British tidal islands: stochastic influences and deterministic factors
Authors:Roger L. H. Dennis  Leonardo Dapporto  Tim H. Sparks  Steven R. Williams  J. Nick Greatorex‐Davies  Jim Asher  David B. Roy
Affiliation:1. Institute for Environment, Sustainability and Regeneration, Room s122, Mellor Building, Staffordshire University, College Road, Stoke on Trent, ST4 2DE, UK;2. School of Life Sciences, Oxford Brookes University, Headington, Oxford OX3 0BP, UK;3. Istituto Comprensivo Materna Elementere Media Convenevole da Prato, via 1 Maggio 40, 59100 Prato, Italy;4. Institute of Zoology, Poznań University of Life Sciences, Wojska Polskiego 71 C, 60‐625 Poznań, Poland;5. 2 Westbourne Road, West Kirkby, Wirral, Merseyside CH48 4DG, UK;6. 28 Old Pound, Hemingford Grey, Huntingdon, Cambridge PE28 9DY, UK;7. Butterfly Conservation, Manor Yard, East Lulworth, Wareham, Dorset BH20 5QP, UK;8. Centre for Ecology & Hydrology, Wallingford, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon OX10 8BB, UK
Abstract:Aim Community trends were investigated for two small islands and two local mainland butterfly communities within the UK over a period of 20–30 years. Location Hilbre Island off the Wirral Peninsula at 53.33° N, 3.10° W; Lindisfarne, an island off the Northumberland coast at 56.41° N, 1.48° W; Leighton Moss at 54.08° N, 2.26° W; Wyre Forest at 52.23° N, 2.14° W, UK. Methods Butterfly species data were collected on Hilbre and two mainland sites (Leighton Moss and Wyre Forest) from 1983 to 2006, and on Lindisfarne from 1977 to 2006, as part of the National Habitat Survey, the UK Butterfly Monitoring Scheme and ‘Butterflies for the New Millennium Atlas’ recording. Matrices of associations (Sokal and Michener’s matching coefficient SSM; resemblance coefficient) were computed between years and subject to non‐metric multidimensional scaling (NMDS) and Mantel tests. The pattern of extinctions and colonizations at sites were examined, their heterogeneity tested by applying a Friedman test to fractional incidences for the same years. Regression analysis (multiple regression and logit regression) was used to relate butterfly numbers and incidences to climate variables, time and previous records. Results Significant community trends based on population counts and species’ incidences were found for all four sites. There was a significant climatic signal for Hilbre; although this was not apparent for the remaining sites, significant associations occurred between records for a number of species and climatic variables at all sites. Substantial turnover of species on the islands was inversely related to numbers of records for species but not to their conspicuousness to recorders. Main conclusions We argue that time trends are widespread in butterfly communities, even for relatively short periods; they are largely generated by stochastic influences rather than by more substantive factors such as climate change. Potential biases in surveying and recording history are shown to be unlikely. A clear climate signal was found only for the small Hilbre Island, for which there was also evidence for the significant influence of colonization capability of individual source species. We conclude that for many species, small islands will be sinks or pseudosinks and their ‘populations’ vulnerable to small changes in source–sink dynamics.
Keywords:Butterflies  climate change  colonization  extinction  islands  Lepidoptera  recording bias  Rhopalocera  source–  sink dynamics  UK
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