Scenario-based assessment of future land use change on butterfly species distributions

@article{Ltolf2008ScenariobasedAO,
  title={Scenario-based assessment of future land use change on butterfly species distributions},
  author={Michael L{\"u}tolf and Janine Bolliger and Felix Kienast and Antoine Guisan},
  journal={Biodiversity and Conservation},
  year={2008},
  volume={18},
  pages={1329-1347}
}
Species distribution models (SDMs) are increasingly used to predict environmentally induced range shifts of habitats of plant and animal species. Consequently SDMs are valuable tools for scientifically based conservation decisions. The aims of this paper are (1) to identify important drivers of butterfly species persistence or extinction, and (2) to analyse the responses of endangered butterfly species of dry grasslands and wetlands to likely future landscape changes in Switzerland. Future land… CONTINUE READING
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Comparing global vegetation maps with the Kappa-statistic

  • RA 1347 Monserud, R Leemans
  • Ecol Model
  • 1992
Highly Influential
4 Excerpts

Scenario visualisation for participatory landscape planning—a study from Denmark

  • B Tress, G Tress
  • Landsc Urban Plan
  • 2003
Highly Influential
4 Excerpts

Modelling butterXy distribution based on remote sensing data

  • M Luoto, M Kuussaari, T Toivonen
  • J Biogeogr 29:1027–1037
  • 2002
Highly Influential
4 Excerpts

Verbreitungsatlas der Tagfalter der Schweiz (Lepidoptera Rhopalocera)

  • Y Gonseth
  • Documenta Faunistica Helvetiae. Centre Suisse de…
  • 1987
Highly Influential
10 Excerpts

The ghost of past species presences: improving species distribution models for presence-only data

  • M Lütolf, F Kienast, A Guisan
  • J Appl Ecol 43:802–815
  • 2006
Highly Influential
3 Excerpts

Consequences of pastoral abandonment for the structure and diversity of the alpine avifauna

  • P Laiolo, F Dondero, E Ciliento
  • J Appl Ecol 41:294–304
  • 2004
Highly Influential
3 Excerpts

A review of methods for the assessment of prediction errors in conservation presence/absence models

  • AH Fielding, JF Bell
  • Environ Conserv 24:38–49
  • 1997
Highly Influential
4 Excerpts

Die Schmetterlinge Baden-Württembergs

  • G Ebert, E Rennwald
  • 1993
Highly Influential
4 Excerpts

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