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Journal of Insect Conservation

, Volume 16, Issue 2, pp 275–280 | Cite as

Timed surveys and transect walks as comparable methods for monitoring butterflies in small plots

  • Tomas Kadlec
  • Robert Tropek
  • Martin Konvicka
ORIGINAL PAPER

Abstract

Butterflies are widely used in biodiversity surveys, and several methods of relative abundance counts have been developed. The most frequently used linear transects are praised for a good replicability, but recently have been criticised for poor species detecting ability, especially for poorly visible or extremely sedentary species. As an alternative, timed surveys, based on zigzagging study sites and flexibly checking transient butterfly resources, have been proposed by some authors. We tested the utility of the two methods while studying the effect of restoration practices on butterfly assemblages in limestone quarries in the Czech Republic. Numbers of species and individuals detected per 10 min transect walk were compared with numbers of species and individuals detected during 10 min timed survey. Mobile and imperceptible species were compared in separate analyses as a measure of detection efficiency. More species and individuals per visit were recorded by timed surveys. No difference in detectability of mobile and imperceptible species between both methods used was observed. Whereas linear transects will probably remain the method of choice for long-term monitoring programs employing armies of recorders, timed surveys appear more appropriate for studies in which it is important to obtain the most comprehensive check-list of species occurring at study sites, which is often the case in conservation inventories in species rich regions with limited number of experienced researchers.

Keywords

Butterfly counting Lepidoptera Insect sampling Monitoring methods Pollard walks 

Notes

Acknowledgments

J. Benes contributed by many constructive suggestions and fruitful discussions, Fric and M. Trnik helped us in the field, and S. Polakova and P. Smilauer consulted the statistics. We acknowledge funding from the University of South Bohemia (SGA2008/005), the Czech Science Foundation (206/08/H044, 206/08/H049, P505/10/2167), and the Czech Department of Education (MSM 6007665801, LC06073).

Supplementary material

10841_2011_9414_MOESM1_ESM.pdf (9 kb)
List of all detected species, their abbreviations as used in Fig. 1, and affiliation to imperceptible and mobile species guilds. (PDF 8 kb)

References

  1. Bates D, Maechler M (2010). lme4: linear mixed-effects models using S4 classes. R package version 0.999375-35Google Scholar
  2. Benes J, Kepka P, Konvicka M (2003) Limestone quarries as refuges for European xerophilous butterflies. Conserv Biol 17:1058–1069CrossRefGoogle Scholar
  3. Benes J, Cizek O, Dovala J, Konvicka M (2006) Intensive game keeping, coppicing and butterflies: the story of Milovicky wood, Czech Republic. For Ecol Manag 237:353–365CrossRefGoogle Scholar
  4. Bergman M, Wiklund C (2009) Visual mate detection and mate flight pursuit in relation to sunspot size in a woodland territorial butterfly. Anim Behav 78:17–23CrossRefGoogle Scholar
  5. Bink FA (1992) Ecologische atlas van de Dagvlinders van Noordwest-Europa. Schuzt, HaarlemGoogle Scholar
  6. Bock CE, Bailowitz RA, Danforth DW, Jones ZF, Bock JH (2007) Butterflies and exurban development in southeastern Arizona. Landsc Urban Plann 80:34–44CrossRefGoogle Scholar
  7. Collier N, Mackay DA, Benkendorff K, Austin AD, Carthew SM (2006) Butterfly communities in South Australian urban reserves: estimating abundance and diversity using the Pollard walk. Aust Ecol 31:282–290CrossRefGoogle Scholar
  8. Cowley MJR, Thomas CD, Roy DB, Wilson RJ, Leon-Cortes JL, Gutierrez D, Bulman CR, Quinn RM, Moss D, Gaston KJ (2001) Density-distribution relationships in British butterflies. I. The effect of mobility and spatial scale. J Anim Ecol 70:410–425CrossRefGoogle Scholar
  9. Dennis RLH, Sparks TH, Hardy PB (1999) Bias in butterfly distribution maps: the effects of sampling effort. J Insect Conserv 3:33–42CrossRefGoogle Scholar
  10. Dennis RLH, Shreeve TG, Van Dyck H (2003) Towards a functional resource-based concept for habitat: a butterfly biology viewpoint. Oikos 102:417–426CrossRefGoogle Scholar
  11. Dennis RLH, Shreeve TG, Isaac NJB, Roy DB, Hardy PB, Fox R, Asher J (2006) The effects of visual apparency on bias in butterfly recording and monitoring. Biol Conserv 128:486–492CrossRefGoogle Scholar
  12. Dennis RLH, Hardy PB, Shreeve TG (2008) The importance of resource databanks for conserving insects: a butterfly biology perspective. J Insect Conserv 12:711–719CrossRefGoogle Scholar
  13. Harker RJ, Shreeve TG (2008) How accurate are single site transect data for monitoring butterfly trends? Spatial and temporal issues identified in monitoring Lasiommata megera. J Insect Conserv 12:125–133CrossRefGoogle Scholar
  14. Huntzinger M (2003) Effects of fire management practices on butterfly diversity in the forested western United States. Biol Conserv 113:1–12CrossRefGoogle Scholar
  15. Kadlec T, Benes J, Jarosik V, Konvicka M (2008) Revisiting urban refuges: changes of butterfly and burnet fauna in Prague reserves over three decades. Landsc Urban Plann 85:1–11CrossRefGoogle Scholar
  16. Kéry M, Plattner M (2007) Species richness estimation and determinants of species detectability in butterfly monitoring programmes. Ecol Entomol 32:53–61CrossRefGoogle Scholar
  17. Konvicka M, Kadlec T (2011) How to increase the value of urban areas for butterfly conservation? Eur J Entomol 108:219–229Google Scholar
  18. Lastuvka Z (1998) Checklist of Lepidoptera of Czech and Slovak Republics. Konvoj, BrnoGoogle Scholar
  19. Marttila O, Saarinen K, Jantunen J (1999) The national butterfly recording scheme in Finland: first seven-year period 1991–1997. Nota Lepidopterol 22:17–34Google Scholar
  20. Pellet J (2008) Seasonal variation in detectability of butterflies surveyed with Pollard walks. J Insect Conserv 12:155–162CrossRefGoogle Scholar
  21. Pollard E (1977) A method for assessing changes in the abundance of butterflies. Biol Conserv 12:115–134CrossRefGoogle Scholar
  22. Pollard E (1982) Monitoring butterfly abundance in relation to the management of a nature reserve. Biol Conserv 24:317–328CrossRefGoogle Scholar
  23. Pollard E, Yates TJ (1993) Monitoring butterflies for ecology and conservation. The British butterfly monitoring scheme. Institute of Terrestrial ecology and joint nature conservation committee. Chapman and Hall, LondonGoogle Scholar
  24. R Development Core Team (2009) R: a language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, AustriaGoogle Scholar
  25. Roy DB, Sparks TH (2000) Phenology of British butterflies and climate change. Glob Change Biol 6:407–416CrossRefGoogle Scholar
  26. Royer AR, Austin JE, Newton WE (1998) Checklist and “Pollard walk” butterfly survey methods on public lands. Am Midl Nat 140:358–371CrossRefGoogle Scholar
  27. Samways MJ (1994) Insect conservation biology. Chapman and Hall, LondonGoogle Scholar
  28. Schmitt T (2003) Influence of forest and grassland management on the diversity and conservation of butterflies and burnet moths (Lepidoptera: Papilionoidea, Hesperiidae, Zygaenidae). Anim Biodivers Conserv 26:51–67Google Scholar
  29. Skorka P, Settele J, Woyciechowski M (2007) Effects of management cessation on grassland butterflies in southern Poland. Agric Ecosyst Environ 121:319–324CrossRefGoogle Scholar
  30. Spitzer L, Benes J, Dandova J, Jaskova V, Konvicka M (2009) The large blue butterfly, Phengaris [Maculinea] arion, as a conservation umbrella on a landscape scale: the case of the Czech Carpathians. Ecol Indic 9:1053–1056CrossRefGoogle Scholar
  31. Stefanescu C, Penuelas J, Filella I (2009) Rapid changes in butterfly communities following the abandonment of grasslands: a case study. Insect Conserv Diver 2:261–269CrossRefGoogle Scholar
  32. Steffan-Dewenter I, Tscharntke T (2000) Butterfly community structure in fragmented habitats. Ecol Lett 3:449–456CrossRefGoogle Scholar
  33. ter Braak CJF, Smilauer P (2002) CANOCO reference manual and CanoDraw for Windows user’s guide: Software for canonical community ordination (version 4.5). Microcomputer Power, IthacaGoogle Scholar
  34. Thomas JA (2005) Monitoring change in the abundance and distribution of insects using butterflies and other indicator groups. Philos Trans R Soc Lond B Biol Sci 360:339–357PubMedCrossRefGoogle Scholar
  35. Thomas JA, Telfer MG, Roy DB, Preston CD, Greenwood JJD, Asher J, Fox R, Clarke RT, Lawton JH (2004) Comparative losses of British butterflies, birds, and plants and the global extinction crisis. Science 303:1879–1881PubMedCrossRefGoogle Scholar
  36. Tropek R, Konvicka M (2010) Forest Eternal? Endemic butterflies of the Bamenda Highlands, Cameroon, avoid close-canopy forest. Afr J Ecol 48:428–437CrossRefGoogle Scholar
  37. Tropek R, Kadlec T, Karesova P, Spitzer L, Kocarek P, Malenovsky I, Banar P, Tuf IH, Hejda M, Konvicka M (2010) Spontaneous succession in limestone quarries as an effective restoration tool for endangered arthropods and plants. J Appl Ecol 47:139–147CrossRefGoogle Scholar
  38. Van Swaay CAM, Nowicki P, Settele J, Van Strien AJ (2008) Butterfly monitoring in Europe: methods, applications and perspectives. Biodivers Conserv 17:3455–3469CrossRefGoogle Scholar
  39. Wahlberg N, Klemetti T, Selonen V, Hanski I (2002) Metapopulation structure and movements in five species of checkerspot butterflies. Oecologia 130:33–43Google Scholar
  40. Wenzel M, Schmitt T, Weitzel M, Seitz A (2006) The severe decline of butterflies on western German calcareous grasslands during the last 30 years: a conservation problem. Biol Conserv 128:542–552CrossRefGoogle Scholar
  41. Williams MR (2008) Assessing diversity of diurnal Lepidoptera in habitat fragments: testing the efficiency of strip transects. Environ Entom 37:1313–1322CrossRefGoogle Scholar
  42. Zonneveld C, Longcore T, Mulder C (2003) Optimal schemes to detect the presence of insect species. Conserv Biol 17:476–487CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Tomas Kadlec
    • 1
    • 2
    • 4
  • Robert Tropek
    • 2
    • 3
  • Martin Konvicka
    • 2
    • 3
  1. 1.Faculty of ScienceCharles UniversityPragueCzech Republic
  2. 2.Institute of Entomology, Biology CentreCzech Academy of SciencesCeske BudejoviceCzech Republic
  3. 3.Faculty of ScienceUniversity of South BohemiaCeske BudejoviceCzech Republic
  4. 4.Faculty of Environmental SciencesCzech University of Life SciencesPragueCzech Republic

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