4.2 Article

Modelling the recent and potential future spatial distribution of the Ring Ouzel (Turdus torquatus) and Blackbird (T-merula) in Switzerland

期刊

JOURNAL OF ORNITHOLOGY
卷 149, 期 4, 页码 529-544

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s10336-008-0295-9

关键词

climate change scenarios; habitat preferences; scale dependency; species distribution modelling; Turdus sp

资金

  1. German Academic Foreign Exchange Service (DAAD)
  2. Swiss Ornithological Institute at Sempach, Switzerland

向作者/读者索取更多资源

We present here a multiscale modelling approach to predict the current and future spatial distribution of Ring Ouzel (Turdus torquatus) and Blackbird (T. merula) in Switzerland. Species distribution models (SDMs) are applied on three different scales in order to analyse the scale-dependency of predictors that describe the species' realised niche. While the models on the macro- and mesoscales (grid of 100 and 1 km(2), respectively) cover the entire country, our small-scale models are based on a small set of territories. Ring Ouzels occur at altitudes above 1000 m a.s.l. only, while Blackbirds occur from the lowlands up to the timberline. Although both species coexist on the macro- and mesoscales, a direct niche overlap on territory scale is rare. Small-scale differences in vegetation cover and structure seem to play a dominant role in habitat selection. On the macroscale, however, we observed a high dependency on bioclimatic variables that mainly represent the altitudinal range and the related forest structure preferred by both species. Applying the models to climate change scenarios, we predict a decline of suitable habitat for the Ring Ouzel with a simultaneous median altitudinal shift of 440 m until 2070. In contrast, the Blackbird is predicted to benefit from higher temperatures and expand its range to higher elevations. Based on the species distribution models we (1) demonstrate the scale-dependency of environmental predictors, (2) quantify the scale-dependent habitat requirements of Blackbird and Ring Ouzel and (3) predict the altitudinal range shift of both species as related to climate change scenarios.

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