首页 | 本学科首页   官方微博 | 高级检索  
     


A triple-isotope approach to predict the breeding origins of European bats
Authors:Popa-Lisseanu Ana G  Sörgel Karin  Luckner Anja  Wassenaar Leonard I  Ibáñez Carlos  Kramer-Schadt Stephanie  Ciechanowski Mateusz  Görföl Tamás  Niermann Ivo  Beuneux Grégory  Mysłajek Robert W  Juste Javier  Fonderflick Jocelyn  Kelm Detlev H  Voigt Christian C
Affiliation:Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany. anapopa@izw-berlin.de
Abstract:Despite a commitment by the European Union to protect its migratory bat populations, conservation efforts are hindered by a poor understanding of bat migratory strategies and connectivity between breeding and wintering grounds. Traditional methods like mark-recapture are ineffective to study broad-scale bat migratory patterns. Stable hydrogen isotopes (δD) have been proven useful in establishing spatial migratory connectivity of animal populations. Before applying this tool, the method was calibrated using bat samples of known origin. Here we established the potential of δD as a robust geographical tracer of breeding origins of European bats by measuring δD in hair of five sedentary bat species from 45 locations throughout Europe. The δD of bat hair strongly correlated with well-established spatial isotopic patterns in mean annual precipitation in Europe, and therefore was highly correlated with latitude. We calculated a linear mixed-effects model, with species as random effect, linking δD of bat hair to precipitation δD of the areas of hair growth. This model can be used to predict breeding origins of European migrating bats. We used δ(13)C and δ(15)N to discriminate among potential origins of bats, and found that these isotopes can be used as variables to further refine origin predictions. A triple-isotope approach could thereby pinpoint populations or subpopulations that have distinct origins. Our results further corroborated stable isotope analysis as a powerful method to delineate animal migrations in Europe.
Keywords:
本文献已被 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号