Modeling Rare Species Distribution at the Edge: The Case for the Vulnerable Endemic Pyrenean Desman in France
Author(s) -
M. Williams-Tripp,
Frank d'Amico,
Christian Pagé,
Arnaud Bertrand,
Mélanie Némoz,
Jennifer Brown
Publication year - 2012
Publication title -
the scientific world journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.453
H-Index - 93
eISSN - 2356-6140
pISSN - 1537-744X
DOI - 10.1100/2012/612965
Subject(s) - species distribution , context (archaeology) , geography , distribution (mathematics) , range (aeronautics) , climate change , endemism , environmental niche modelling , population , transferability , ecology , habitat , biology , computer science , demography , archaeology , mathematical analysis , materials science , mathematics , ecological niche , sociology , composite material , logit , machine learning
The endemic Pyrenean Desman ( Galemys pyrenaicus ) is an elusive, rare, and vulnerable species declining over its entire and narrow range (Spain, Portugal, France, and Andorra). The principal set of conservation measures in France is a 5-years National Action Plan based on 25 conservation actions. Priority is given to update its present distribution and develop tools for predictive distribution models. We aim at building the first species distribution model and map for the northern edge of the range of the Desman and confronting the outputs of the model to target conservation efforts in the context of environmental change. Contrasting to former comparable studies, we derive a simpler model emphasizing the importance of factors linked to precipitation and not to the temperature. If temperature is one of the climate change key factors, depicted shrinkage in Desman distribution could be lower or null at the northern (French) edge suggesting thus a major role for this northern population in terms of conservation of the species. Finally, we question the applied issue of temporal and spatial transferability for such environmental favourability models when it is made at the edge of the distribution range.
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