Biodiversity and Conservation

, Volume 23, Issue 6, pp 1427–1439

Identifying priority areas for conservation of spadefoot toad, Pelobates fuscusinsubricus using a maximum entropy approach

  • Andrea Giovannini
  • Daniele Seglie
  • Cristina Giacoma
Original Paper

DOI: 10.1007/s10531-014-0674-x

Cite this article as:
Giovannini, A., Seglie, D. & Giacoma, C. Biodivers Conserv (2014) 23: 1427. doi:10.1007/s10531-014-0674-x

Abstract

In this study, we used a maximum entropy (MaxEnt) approach to model the distribution of the rare European amphibian Pelobates fuscus insubricus, with the final goal of identifying suitable areas for its conservation. We generated the model starting from a dataset of all locations where this species’ presence was confirmed for the region of piedmont in 2004–2010, which consisted of only 15 occurrence records. To verify the working hypothesis that population survival is higher in areas where Maxent identifies higher distribution probability values, we used suitability indexes generated by the model to compare the “historical” (before 1980) and “recent” (1980–1996) distributions of P. f. insubricus populations in the piedmont region. The average area-under-the-curve value (0.878, s = 0.075) of the Maxent model proved significantly informative. Using the Bonferroni confidence interval, we demonstrated that surviving populations occupy geographic areas characterized by significantly higher potential suitability (p < 0.05), and we selected areas accordingly. We therefore conclude that, in our case study, modelling the distribution of rare species may represent a useful strategy to select areas where these species are likely to persist. To further evaluate this approach, we suggest testing it on the study of other rare species.

Keywords

AmphibiansArea-selection methodsDistribution modellingExternal validationReintroduction

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Andrea Giovannini
    • 1
  • Daniele Seglie
    • 1
  • Cristina Giacoma
    • 1
  1. 1.Dipartimento di Scienze della Vita e Biologia dei SistemiUniversità di TorinoTurinItaly