The transferability of distribution models across regions: an amphibian case study
Article first published online: 11 FEB 2009
© 2009 The Authors. Journal compilation © 2009 Blackwell Publishing Ltd
Diversity and Distributions
Volume 15, Issue 3, pages 469–480, May 2009
How to Cite
Zanini, F., Pellet, J. and Schmidt, B. R. (2009), The transferability of distribution models across regions: an amphibian case study. Diversity and Distributions, 15: 469–480. doi: 10.1111/j.1472-4642.2008.00556.x
- Issue published online: 9 APR 2009
- Article first published online: 11 FEB 2009
- predictive distribution model;
- spatial scale;
- model selection;
- model transferability;
Aim Predicting species distribution is of fundamental importance for ecology and conservation. However, distribution models are usually established for only one region and it is unknown whether they can be transferred to other geographical regions. We studied the distribution of six amphibian species in five regions to address the question of whether the effect of landscape variables varied among regions. We analysed the effect of 10 variables extracted in six concentric buffers (from 100 m to 3 km) describing landscape composition around breeding ponds at different spatial scales. We used data on the occurrence of amphibian species in a total of 655 breeding ponds. We accounted for proximity to neighbouring populations by including a connectivity index to our models. We used logistic regression and information-theoretic model selection to evaluate candidate models for each species.
Results The explained deviance of each species’ best models varied between 5% and 32%. Models that included interactions between a region and a landscape variable were always included in the most parsimonious models. For all species, models including region-by-landscape interactions had similar support (Akaike weights) as models that did not include interaction terms. The spatial scale at which landscape variables affected species distribution varied from 100 m to 1000 m, which was in agreement with several recent studies suggesting that land use far away from the ponds can affect pond occupancy.
Main conclusions Different species are affected by different landscape variables at different spatial scales and these effects may vary geographically, resulting in a generally low transferability of distribution models across regions. We also found that connectivity seems generally more important than landscape variables. This suggests that metapopulation processes may play a more important role in species distribution than habitat characteristics.