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Predicting the potential spatial distributions of epiphytic lichen species at the landscape scale

Published online by Cambridge University Press:  21 May 2007

Janine BOLLIGER ,
Ariel BERGAMINI ,
Silvia STOFER ,
Felix KIENAST  and
Christoph SCHEIDEGGER
Janine BOLLIGER
Affiliation:
Federal Research Institute WSL, Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland. Email: [email protected]
Ariel BERGAMINI
Affiliation:
Federal Research Institute WSL, Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland. Email: [email protected]
Silvia STOFER
Affiliation:
Federal Research Institute WSL, Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland. Email: [email protected]
Felix KIENAST
Affiliation:
Federal Research Institute WSL, Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland. Email: [email protected]
Christoph SCHEIDEGGER
Affiliation:
Federal Research Institute WSL, Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland. Email: [email protected]
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Abstract:

The potential spatial distributions of six epiphytic lichen species were assessed in Switzerland (41 000 km2) as a function of various key climatic drivers and forest types using logistic regression models. Cetrelia cetrarioides is ‘near threatened’, Lobaria pulmonaria is ‘vulnerable’, and Graphis scripta, Hypogymnia physodes, Lecanora cadubriae, Letharia vulpina are not endangered according to the Red List assessment based on IUCN criteria. Lichen presence and absence were derived from the SwissLichens database that contains spatially explicit information on both species presence and absence.

The spatial lichen niches are predicted with R2 values between 0·5 and 0·75 and AUC values between 0·63 and 0·94. Model evaluation shows that the models perform well.

Lichenologists reviewed the spatial predictions of lichen species on the basis of their expert knowledge and concluded that parsimonious regression models may suffice for successful prediction of the potential spatial niche distributions of epiphytic lichen species.

Keywords

AUCbioclimateCetrelia cetrarioidesGINI coefficientGLMGraphis scriptaHypogymnia physodesLecanora cadubriaeLetharia vulpinaLobaria pulmonariapredictive distribution modelROCSwitzerland
Type
Research Article
Information
The Lichenologist , Volume 39 , Issue 3 , May 2007 , pp. 279 - 291
Copyright
Copyright © British Lichen Society 2007

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