Journal of Insect Conservation

, Volume 17, Issue 2, pp 411–419 | Cite as

Butterfly community structure and landscape composition in agricultural landscapes of the central United States

  • Timothy D. Meehan
  • Jeffrey Glassberg
  • Claudio Gratton
ORIGINAL PAPER

Abstract

Agricultural landscapes worldwide are under increased pressure to provide food, feed, fiber, and fuel for a growing human population. These demands are leading to changes in agricultural landscapes and subsequent declines in biodiversity. We used citizen science data from the North American Butterfly Association and remotely-sensed land cover data from the US Department of Agriculture to study relationships between agricultural landscape composition and butterfly community structure in the Midwestern US. Landscape-level butterfly species richness (based on rarefaction estimates) was highest in agricultural landscapes with relatively low amounts of cropland, relatively high amounts of woodland, and intermediate amounts of grassland and wetland. Rarefied richness generally declined with the dominance of any of these land cover types. Unlike other land cover types, urban development had a consistent negative effect on rarefied richness. Butterfly community structure (based on relative abundance) was also significantly related to the amount of cropland, woodland, grassland, and wetland in the landscape. The rarest butterfly species were associated with woodland-, grassland-, and wetland-dominated landscapes, likely due to their association with plant species occurring in savannahs, prairies, and marshes, respectively. Assuming that variation across space reflects changes over time, our results support conclusions from previous studies that removal of natural and seminatural habitats alters butterfly community structure and decreases species diversity in agricultural landscapes.

Keywords

Lepidoptera Species richness Community structure Landscape composition Agriculture 

References

  1. Attwood SJ, Maron M, House APN, Zammit C (2008) Do arthropod assemblages display globally consistent responses to intensified agricultural land use and management? Glob Ecol Biogeogr 17:585–599CrossRefGoogle Scholar
  2. Bergerot B, Fontaine B, Julliard R, Baguette M (2010) Landscape variables impact the structure and composition of butterfly assemblages along an urbanization gradient. Landsc Ecol 26:83–94CrossRefGoogle Scholar
  3. Bianchi FJJA, Booij CJH, Tscharntke T (2006) Sustainable pest regulation in agricultural landscapes: a review on landscape composition, biodiversity and natural pest control. Proc R Soc B 273:1715–1727PubMedCrossRefGoogle Scholar
  4. Bivand RS, Pebesma EJ, Gómez-Rubio V (2008) Applied spatial data analysis with R. Springer, New YorkGoogle Scholar
  5. Blair RB, Launer AE (1997) Butterfly diversity and human land use: species assemblages along an urban gradient. Biol Conserv 80:113–125CrossRefGoogle Scholar
  6. Bock CE, Root TL (1981) The Christmas bird count and avian ecology. Stud Avian Biol 6:17–23Google Scholar
  7. Burnham KP, Anderson DR (1998) Model selection and inference: a practical information-theoretic approach. Springer, New YorkCrossRefGoogle Scholar
  8. Clark PJ, Reed JM, Chew FS (2007) Effects of urbanization on butterfly species richness, guild structure, and rarity. Urban Ecosyst 10:321–337CrossRefGoogle Scholar
  9. Clarke KR, Warwick RM (2001) Changes in marine communities: an approach to statistical analysis and interpretation. PRIMER-E, PlymouthGoogle Scholar
  10. Di Mauro D, Dietz T, Rockwood L (2007) Determining the effect of urbanization on generalist butterfly species diversity in butterfly gardens. Urban Ecosyst 10:427–439CrossRefGoogle Scholar
  11. Donner SD, Kucharik CJ (2008) Corn-based ethanol production compromises goal of reducing nitrogen export by the Mississippi River. Proc Nat Acad Sci USA 105:4513–4518PubMedCrossRefGoogle Scholar
  12. Dover JW, Spencer S, Collins S, Hadjigeorgiou I, Rescia A (2011) Grassland butterflies and low intensity farming in Europe. J Insect Conserv 15:129–137CrossRefGoogle Scholar
  13. Duelli P, Obrist MK (2003) Regional biodiversity in an agricultural landscape: the contribution of seminatural habitat islands. Basic Appl Ecol 4:129–138CrossRefGoogle Scholar
  14. ESRI (2008) ArcGIS, version 9.3. ESRI, RedlandsGoogle Scholar
  15. Fargione JE, Cooper TR, Flaspohler DJ, Hill J, Lehman C, Tilman D, McCoy T, McLeod S, Nelson EJ, Oberhauser KS (2009) Bioenergy and wildlife: threats and opportunities for grassland conservation. Bioscience 59:767–777CrossRefGoogle Scholar
  16. Fletcher RJ Jr, Robertson BA, Evans J, Doran PJ, Alavalapati JR, Schemske DW (2010) Biodiversity conservation in the era of biofuels: risks and opportunities. Front Ecol Environ 9:161–168CrossRefGoogle Scholar
  17. Foley JA, DeFries R, Asner GP, Barford C, Bonan G, Carpenter SR, Chapin FS, Coe MT, Daily GC, Gibbs HK, Helkowski JH, Holloway T, Howard EA, Kucharik CJ, Monfreda C, Patz JA, Prentice IC, Ramankutty N, Snyder PK (2005) Global consequences of land use. Science 309:570–574PubMedCrossRefGoogle Scholar
  18. Fukami T, Wardle DA (2005) Long-term ecological dynamics: reciprocal insights from natural and anthropogenic gradients. Proc R Soc B 272:2105–2115PubMedCrossRefGoogle Scholar
  19. Gardiner M, Tuell J, Isaacs R, Gibbs J, Ascher J, Landis D (2010) Implications of three biofuel crops for beneficial arthropods in agricultural landscapes. BioEnergy Res 3:6–19CrossRefGoogle Scholar
  20. Gotelli NJ, Colwell RK (2001) Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness. Ecol Lett 4:379–391CrossRefGoogle Scholar
  21. Hendrickx F, Maelfait JP, van Wingerden WKRE, Schweiger O, Speelmans M, Aviron S, Augenstein I, Billeter R, Bailey D, Bukacek R, Burel F, Diekotter T, Dirksen J, Herzog F, Liira J, Roubalova M, Vandomme V, Bugter R (2007) How landscape structure, land-use intensity and habitat diversity affect components of total arthropod diversity in agricultural landscapes? J Appl Ecol 44:340–351CrossRefGoogle Scholar
  22. Hertel TW (2011) The global supply and demand for agricultural land in 2050: a perfect storm in the making? Am J Agric Econ 93:259–275Google Scholar
  23. Kadoya T, Washitani I (2011) The Satoyama index: a biodiversity indicator for agricultural landscapes. Agric Ecosyst Environ 140:20–26CrossRefGoogle Scholar
  24. Kitahara M, Sei K (2001) A comparison of the diversity and structure of butterfly communities in semi-natural and human-modified grassland habitats at the foot of Mt. Fuji, central Japan. Biodivers Conserv 10:331–351CrossRefGoogle Scholar
  25. Kocher SD, Williams EH (2000) The diversity and abundance of North American butterflies vary with habitat disturbance and geography. J Biogeogr 27:785–794CrossRefGoogle Scholar
  26. Kovács-Hostyánszki A, Korösi Á, Orci KM, Batáry P, Báldi A (2011) Set-aside promotes insect and plant diversity in a Central European country. Agric Ecosyst Environ 141:296–301CrossRefGoogle Scholar
  27. Kucharik CJ (2003) Evaluation of a process-based agro-ecosystem model (agro-IBIS) across the US corn belt: simulations of the interannual variability in maize yield. Earth Interact 7:1–33CrossRefGoogle Scholar
  28. Legendre P, Legendre L (1998) Numerical ecology. Elsevier, AmsterdamGoogle Scholar
  29. Link WA, Sauer JR (1999) Controlling for varying effort in count surveys: an analysis of Christmas bird count data. J Agric Biol Environ Stat 4:116–125CrossRefGoogle Scholar
  30. MacNally R, Walsh CJ (2004) Hierarchical partitioning public-domain software. Biodivers Conserv 13:659–660CrossRefGoogle Scholar
  31. Marini L, Fontana P, Battisti A, Gaston K (2009) Agricultural management, vegetation traits and landscape drive orthopteran and butterfly diversity in a grassland-forest mosaic: a multi-scale approach. Insect Conserv Divers 2:213–220CrossRefGoogle Scholar
  32. McCune B, Grace JB, Urban DL (2002) Analysis of ecological communities. MjM Software Design, Gleneden BeachGoogle Scholar
  33. McGarigal K, Kushman SA, Neel MC, Ene E (2002) FRAGSTATS: spatial pattern analysis program for categorical maps. University of Massachusetts, AmherstGoogle Scholar
  34. Meehan TD, Hurlbert AH, Gratton C (2010) Bird communities in future bioenergy landscapes of the Upper Midwest. Proc Nat Acad Sci USA 107:18533–18538PubMedCrossRefGoogle Scholar
  35. NABA (2011) North American Butterfly Association home page. http://www.naba.org. Last accessed on 9 Apr 2012
  36. Oksanen J, Blanchet FG, Kindt R, Legendre P, O’Hara RG, Simpson GL, Solymus P, Stevens MH (2011) Vegan: community ecology package. R package version 2.0-3Google Scholar
  37. Opler PA, Lotts K, Naberhaus T (2011) Butterflies and moths of North America. http://www.butterfliesandmoths.org/. Last accessed on 9 Apr 2012
  38. Pe’er G, van Maanen C, Turbé A, Matsinos YG, Kark S (2011) Butterfly diversity at the ecotone between agricultural and semi-natural habitats across a climatic gradient. Divers Distrib 17:1186–1197CrossRefGoogle Scholar
  39. Peterson DW, Reich PB (2001) Prescribed fire in oak savanna: fire frequency effects on stand structure and dynamics. Ecol Appl 11:914–927CrossRefGoogle Scholar
  40. Rempel RS, Kaukinen D, Carr AP (2012) Patch analyst and patch grid. Ontario Ministry of Natural Resources, Centre for Northern Forest Ecosystem Research, Thunder Bay. http://www.cnfer.on.ca/SEP/patchanalyst/. Last accessed on 9 Apr 2012
  41. Robertson GP, Dale VH, Doering OC, Hamburg SP, Melillo JM, Wander MM, Parton WJ, Adler PR, Barney JN, Cruse RM, Duke CS, Fearnside PM, Follett RF, Gibbs HK, Goldemberg J, Mladenoff DJ, Ojima D, Palmer MW, Sharpley A, Wallace L, Weathers KC, Wiens JA, Wilhelm WW (2008) Sustainable biofuels redux. Science 322:49–50PubMedCrossRefGoogle Scholar
  42. Robertson BA, Doran PJ, Loomis LR, Robertson JR, Schemske DW (2011) Perennial biomass feedstocks enhance avian diversity. GCB Bioenergy 3:235–246CrossRefGoogle Scholar
  43. Robinson RA, Sutherland WJ (2002) Post-war changes in arable farming and biodiversity in Great Britain. J Appl Ecol 39:157–176CrossRefGoogle Scholar
  44. Rundlof M, Smith HG (2006) The effect of organic farming on butterfly diversity depends on landscape context. J Appl Ecol 43:1121–1127CrossRefGoogle Scholar
  45. Samson F, Knopf F (1994) Prairie conservation in North America. Bioscience 44:418–421CrossRefGoogle Scholar
  46. Smith DD (1981) Iowa prairie: an endangered ecosystem. Proc Iowa Acad Sci 88:7–10Google Scholar
  47. Swengel AB (1990) Monitoring butterfly populations using the fourth of July butterfly count. Am Midl Nat 124:395–406CrossRefGoogle Scholar
  48. Swengel AB (1998) Comparisons of butterfly richness and abundance measures in prairie and barrens. Biodivers Conserv 7:1639–1659CrossRefGoogle Scholar
  49. R Core Development Team (2010) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. http://www.r-project.org/. Last accessed on 9 Apr 2012
  50. Tilman D, Fargione J, Wolff B, D’Antonio C, Dobson A, Howarth R, Schindler D, Schlesinger WH, Simberloff D, Swackhamer D (2001) Forecasting agriculturally driven global environmental change. Science 292:281–284PubMedCrossRefGoogle Scholar
  51. Tilman D, Cassman KG, Matson PA, Naylor R, Polasky S (2002) Agricultural sustainability and intensive production practices. Nature 418:671–677PubMedCrossRefGoogle Scholar
  52. Tilman D, Hill J, Lehman C (2006) Carbon-negative biofuels from low-input high-diversity grassland biomass. Science 314:1598–1600PubMedCrossRefGoogle Scholar
  53. Tscharntke T, Klein A, Kruess A, Steffan-Dewenter I, Thies C (2005) Landscape perspectives on agricultural intensification and biodiversity–ecosystem service management. Ecol Lett 8:857–874CrossRefGoogle Scholar
  54. USDA ERS (2010a) Feed grains baseline, 2010 to 2019. United States Department of Agriculture Economic Research Service, Washington DC. http://www.ers.usda.gov/briefing/corn/2010baseline.htm. Last accessed 9 Apr 2012
  55. USDA ERS (2010b) Soybean baseline, 2010 to 2019. United States Department of Agriculture Economic Research Service, Washington DC. http://www.ers.usda.gov/briefing/soybeansoilcrops/2010_19baseline.htm. Last accessed 9 Apr 2012
  56. USDA NASS (2010) Cropland data layer. United States Department of Agriculture National Agricultural Statistics Service, Washington DC. http://nassgeodata.gmu.edu/CropScape/. Last accessed 9 Apr 2012
  57. Venables WN, Ripley BD (2002) Modern applied statistics with S. Springer, New YorkCrossRefGoogle Scholar
  58. Warner RE (1994) Agricultural land use and grassland habitat in Illinois: future shock for Midwestern birds? Conserv Biol 8:147–156CrossRefGoogle Scholar
  59. WDNR (2011) Wisconsin natural heritage working list. Wisconsin Department of Natural Resources, Madison. http://dnr.wi.gov/org/land/er/biodiversity/. Last accessed 9 Apr 2012
  60. Weibull AC, Bengtsson J, Nohlgren E (2000) Diversity of butterflies in the agricultural landscape: the role of farming system and landscape heterogeneity. Ecography 23:743–750CrossRefGoogle Scholar
  61. Whittaker RH (1972) Evolution and measurement of species diversity. Taxon 21:213–251CrossRefGoogle Scholar
  62. Xerces Society (2011) Red list of butterflies and moths. Xerces Society, Portland. http://www.xerces.org/red-list-of-butterflies-and-moths/. Last accessed 9 Apr 2012

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Timothy D. Meehan
    • 1
  • Jeffrey Glassberg
    • 2
  • Claudio Gratton
    • 1
  1. 1.Department of Entomology, Great Lakes Bioenergy Research CenterUniversity of Wisconsin-MadisonMadisonUSA
  2. 2.North American Butterfly AssociationMorristownUSA

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