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Erschienen in: Biodiversity and Conservation 6/2019

29.03.2019 | Original Paper

Moths in the Pyrénées: spatio-temporal patterns and indicators of elevational assemblages

verfasst von: E. J. Dale, R. L. Kitching, C. Thebaud, S. C. Maunsell, L. A. Ashton

Erschienen in: Biodiversity and Conservation | Ausgabe 6/2019

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Abstract

Understanding how assemblages of invertebrates change over continuous elevational gradients not only generates an understanding of current rules of community assembly but may also be useful for predicting the future distributions of species under global change. Temperature decreases predictably with increasing elevation and, accordingly, gradients in elevation permit the study of adjacent climates within small geographical areas. The present study examines if and how assemblages of moths change with increasing elevation in the eastern French Pyrenees. Elevation had a strong effect on the assemblage composition of moth species in both seasons. The species sets which contributed most to this strong pattern differed completely across seasons. Analysis of restrictions and fidelity to particular elevational ranges generated a set of indicator species which can be used to monitor future changes in distribution. Twelve species were identified as elevation-specific indicators (the ‘predictor set’) from the spring samples and summer samples. We note the strong contrasts between species that produce overall statistical pattern and those that show strong fidelity to particular elevations and discuss this in terms of the biologies of the species concerned. We discuss best practice for the identification and use of indicator species for monitoring future responses to climate change.

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Metadaten
Titel
Moths in the Pyrénées: spatio-temporal patterns and indicators of elevational assemblages
verfasst von
E. J. Dale
R. L. Kitching
C. Thebaud
S. C. Maunsell
L. A. Ashton
Publikationsdatum
29.03.2019
Verlag
Springer Netherlands
Erschienen in
Biodiversity and Conservation / Ausgabe 6/2019
Print ISSN: 0960-3115
Elektronische ISSN: 1572-9710
DOI
https://doi.org/10.1007/s10531-019-01745-4

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