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References

  • Amano, T., Okamura, H., Carrizo, S.F. & Sutherland, W.J. (2011) Hierarchical models for smoothed population indices: the importance of considering variations in trends of count data among sites. Ecological Indicators, 13, 243252.
  • Atkinson, P.W., Austin, G.E., Rehfisch, M.M., Baker, H., Cranswick, P., Kershaw, M., Robinson, J., Langston, R.H.W., Stroud, D.A., Turnhout, C.V. & Maclean, I.M.D. (2006) Identifying declines in waterbirds: the effects of missing data, population variability and count period on the interpretation of long-term survey data. Biological Conservation, 130, 549559.
  • Bell, S., Marzano, M., Cent, J., Kobierska, H., Podjed, D., Vandzinskaite, D., Reinert, H., Armaitiene, A., Grodzińska-Jurczak, M. & Muršič, R. (2008) What counts? Volunteers and their organisations in the recording and monitoring of biodiversity. Biodiversity and Conservation, 17, 34433454.
  • Botham, M.S., Brereton, T.M., Middlebrook, I., Randle, Z. & Roy, D.B. (2011) United Kingdom Butterfly Monitoring Scheme Report for 2010. CEH, Wallingford.
  • Brereton, T., Cruickshanks, K.L., Risely, K., Noble, D.G. & Roy, D.B. (2011a) Developing and launching a wider countryside butterfly survey across the United Kingdom. Journal of Insect Conservation, 15, 279290.
  • Brereton, T., Roy, D.B., Middlebrook, I., Botham, M. & Warren, M. (2011b) The development of butterfly indicators in the United Kingdom and assessments in 2010. Journal of Insect Conservation, 15, 139151.
  • Brewer, C. (2008) Using generalized estimating equations with regression splines to improve analysis of butterfly transect data. MPhil thesis, University of St. Andrews, St. Andrews.
  • CBD (2004) Decision VII/30 of the Seventh Conference of the Parties to the Convention on Biological Diversity (CBD/COP7) “Strategic Plan: future evaluation of progress”.
  • Chapin III, F.S., Zavaleta, E.S., Eviner, V.T., Naylor, R.L., Vitousek, P.M., Reynolds, H.L., Hooper, D.U., Lavorel, S., Sala, O.E. & Hobbie, S.E. (2000) Consequences of changing biodiversity. Nature, 405, 234242.
  • Conrad, K.F., Warren, M.S., Fox, R., Parsons, M.S. & Woiwod, I.P. (2006) Rapid declines of common, widespread British moths provide evidence of an insect biodiversity crisis. Biological Conservation, 132, 279291.
  • Cooper, C.B., Dickinson, J., Phillips, T. & Bonney, R. (2007) Citizen science as a tool for conservation in residential ecosystems. Ecology and Society, 12, 11.
  • Defra (2011) UK Biodiversity indicators in your pocket 2011. Published by Defra on Behalf of the UK Biodiversity Partnership. Defra, London.
  • Devictor, V., Whittaker, R.J. & Beltrame, C. (2010) Beyond scarcity: citizen science programmes as useful tools for conservation biogeography. Diversity and Distributions, 16, 354362.
  • Díaz, S., Fargione, J., Chapin III, F.S. & Tilman, D. (2006) Biodiversity loss threatens human well-being. PLoS Biology, 4, e277.
  • Elston, D.A., Nevison, I.M., Scott, W.A., Sier, A.R.J. & Morecroft, M.D. (2011) Power calculations for monitoring studies: a case study with alternative models for random variation. Environmetrics, 22, 618625.
  • Fewster, R.M., Buckland, S.T., Siriwardena, G.M., Baillie, S.R. & Wilson, J.D. (2000) Analysis of population trends for farmland birds using generalized additive models. Ecology, 81, 19701984.
  • Fox, R., Warren, M.S., Brereton, T.M., Roy, D.B. & Robinson, A. (2011) A new Red List of British butterflies. Insect Conservation and Diversity, 4, 159172.
  • Glowka, L., Burhenne-Guilmin, F., Synge, H., McNeely, J.A. & Gündling, L. (1994) A Guide to the Convention on Biological Diversity. IUCN, Gland.
  • Greenwood, J.J.D. (2007) Citizens, science and bird conservation. Journal of Ornithology, 148, 77124.
  • Gross, K., Kalendra, E.J., Hudgens, B.R. & Haddad, N.M. (2007) Robustness and uncertainty in estimates of butterfly abundance from transect counts. Population Ecology, 49, 191200.
  • Grundy, D. (2011) GMS Report 2010. Unpublished GMS report.
  • Hastie, T.J. & Tibshirani, R.J. (1990) Generalized Additive Models. Chapman & Hall/CRC, London.
  • Hoef, J.M.V. & Boveng, P.L. (2007) Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data? Ecology, 88, 27662772.
  • Isaac, N.J.B., Cruickshanks, K.L., Weddle, A.M., Rowcliffe, J.M., Brereton, T.M., Dennis, R.L.H., Shuker, D.M. & Thomas, C.D. (2011) Distance sampling and the challenge of monitoring butterfly populations. Methods in Ecology and Evolution, 2, 585594.
  • Kells, A.R., Holland, J.M. & Goulson, D. (2001) The value of uncropped field margins for foraging bumblebees. Journal of Insect Conservation, 5, 283291.
  • Lawrence, A. (2005) Reluctant citizens? The disjuncture between participatory biological monitoring and environmental governance. Presented at the International Sociology Association Conference ‘Environment, Knowledge and Democracy’. Luminy, Marseilles, France, 6–7 July 2005.
  • Lindén, A. & Mäntyniemi, S. (2011) Using negative binomial distribution to model overdispersion in ecological count data. Ecology, 92, 14141421.
  • Maes, D. & Van Dyck, H. (2001) Butterfly diversity loss in Flanders (north Belgium): Europe's worst case scenario? Biological Conservation, 99, 263276.
  • Peach, W.J., Baillie, S.R. & Balmer, D.E. (1998) Long-term changes in the abundance of passerines in Britain and Ireland as measured by constant effort mist-netting. Bird Study, 45, 257275.
  • Pearman, P.B. & Weber, D. (2007) Common species determine richness patterns in biodiversity indicator taxa. Biological Conservation, 138, 109119.
  • Pollard, E. & Yates, T.J. (1993) Monitoring Butterflies for Ecology and Conservation. Chapman & Hall, London.
  • R Development Core Team (2012) R: A Language and Environment for Statistical Computing. R foundation for Statistical Computing, Vienna, Austria.
  • Rands, M.R.W., Adams, W.M., Bennun, L., Butchart, S.H.M., Clements, A., Coomes, D., Entwistle, A., Hodge, I., Kapos, V., Scharlemann, J.P.W., Sutherland, W.J. & Vira, B. (2010) Biodiversity conservation: challenges beyond 2010. Science, 329, 12981303.
  • Rothery, P. & Roy, D.B. (2001) Application of generalized additive models to butterfly transect count data. Journal of Applied Statistics, 28, 897909.
  • Roy, D.B. & Asher, J. (2003) Spatial trends in the sighting dates of British butterflies. International Journal of Biometeorology, 47, 188192.
  • Roy, D.B., Rothery, P. & Brereton, T. (2007) Reduced effort schemes for monitoring butterfly populations. Journal of Applied Ecology, 44, 9931000.
  • Roy, D.B. & Sparks, T.H. (2000) Phenology of British butterflies and climate change. Global Change Biology, 6, 407416.
  • Roy, D.B., Rothery, P., Moss, D., Pollard, E. & Thomas, J.A. (2001) Butterfly numbers and weather: predicting historical trends in abundance and the future effects of climate change. Journal of Animal Ecology, 70, 201217.
  • Ruddock, J., Russell, M., Davidson, J. & Foster, A. (2007) Conserving Biodiversity: The UK Approach. Department for Environment, Food and Rural Affairs (DEFRA), London.
  • Spalding, A. (1997) The use of the butterfly transect method for the study of the nocturnal moth Luperina nickerlii leechi Goater (Lepidoptera: Noctuidae) and its possible application to other species. Biological Conservation, 80, 147152.
  • van Strien, A.J., Pannekoek, J. & Gibbons, D.W. (2001) Indexing European bird population trends using results of national monitoring schemes: a trial of a new method. Bird Study, 48, 200213.
  • van Swaay, C.A.M., Nowicki, P., Settele, J. & van Strien, A.J. (2008) Butterfly monitoring in Europe: methods, applications and perspectives. Biodiversity and Conservation, 17, 34553469.
  • Thomas, J.A. (2005) Monitoring change in the abundance and distribution of insects using butterflies and other indicator groups. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 360, 339357.
  • Westphal, C., Bommarco, R., Carré, G., Lamborn, E., Morison, N., Petanidou, T., et al. (2008) Measuring bee diversity in different European habitats and biogeographical regions. Ecological Monographs, 78, 653671.
  • Wood, S.N. (2000) Modelling and smoothing parameter estimation with multiple quadratic penalties. Journal of the Royal Statistical Society. Series B, Statistical Methodology, 62, 413428.
  • Wood, S.N. (2006) Generalized Additive Models: An Introduction with R. Chapman & Hall/CRC, Boca Raton.