Matching geographical assignment by stable isotopes with African non-breeding sites of barn swallows Hirundo rustica tracked by geolocation
RESEARCH ARTICLE
Matching geographical assignment by stable
isotopes with African non-breeding sites of
barn swallows Hirundo rustica tracked by
geolocation
Nina Seifert 1*, Roberto Ambrosini2, Luana Bontempo3, Federica Camin3, Felix Liechti4,
Diego Rubolini5, Chiara Scandolara4,5, Nicola Saino5, Steffen Hahn4
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1 Michael Succow Foundation for the Protection of Nature, Greifswald, Germany, 2 Department of Earth and
Environmental Sciences (DISAT), University of Milano Bicocca, Milano, Italy, 3 Dipartimento Qualità
Alimentare e Nutrizione, Fondazione E. Mach—Istituto Agrario di San Michele all’Adige, San Michele
all’Adige, Italy, 4 Department of Bird Migration, Swiss Ornithological Institute, Sempach, Switzerland,
5 Dipartimento di Bioscienze, Univ. degli Studi di Milano, Milano, Italy
*
OPEN ACCESS
Citation: Seifert N, Ambrosini R, Bontempo L,
Camin F, Liechti F, Rubolini D, et al. (2018)
Matching geographical assignment by stable
isotopes with African non-breeding sites of barn
swallows Hirundo rustica tracked by geolocation.
PLoS ONE 13(9): e0202025. https://doi.org/
10.1371/journal.pone.0202025
Editor: Suzannah Rutherford, Fred Hutchinson
Cancer Research Center, UNITED STATES
Received: December 19, 2017
Accepted: July 26, 2018
Published: September 14, 2018
Copyright: © 2018 Seifert et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Data Availability Statement: All data files are
available from the dryad digital repository database
(doi:10.5061/dryad.72q5723 Data files:
Seifert_et_al_Data_Barnswallows).
Funding: The study was co-funded by the EU
INTERREG program (project ID 15 7624065),
Fondazione Cariplo (grant UNIAGI 13357 to NS),
Milan Univ. (grant 2009-ATE-0015 to DR), Univ. of
Milano-Bicocca (grant 2011-ATE-0272 to RA) and
the German Ornithological Union (travel grant to
Abstract
Knowledge on whereabouts within the annual cycle of migratory species is prerequisite for
many aspects in ecology and biological conservation. Spatial assignments of stable isotopes archived in tissues allows for later inference on sites where the specific tissue had
been grown. It has been rarely tested whether spatial assignments match directly tracked
non-breeding residences, especially for migratory songbirds. We here compare assignments of stable isotopes from feathers of Palaearctic Barn swallows Hirundo rustica with
their African non-breeding residence sites tracked by geolocation.Assignments based on
δ2H, δ13C and δ15N isotope compositions delineate three main non-breeding regions: a
main cluster in central Africa, a second in West Africa, and the third cluster in Northern
Africa. Using δ13C, δ15N only, non-breeding sites ranged from clusters in West/Southwest
Africa to South East Africa with a centre in Central Africa. The non-breeding areas (50% and
75% Kernel density estimates, KDE) of the birds tracked by geolocation stretched from
West Africa via central Africa to southern Africa. We found little overlap of 0.3% (assuming a
1:1 odds ratio) to 1.4% (3:1 odds ratio) in the three element assignments and KDEs for only
2 and 13 individuals out of 32 birds. Assignment maps for two elements (δ13C, δ15N) and
KDEs showed higher consistencies with an overlap of 3.6 and 8.5% for 12 and 18 birds. We
argue that the low matching between stable isotope assignments and non-breeding sites in
our study arise from insufficient baseline data for Africa (concerning both isoscapes and
specific discrimination functions). However, other factors like aerial foraging habit of the species, and a potential mismatch of non-breeding site location and the spatial origin of aerial
plankton might further hamper accurate assignments. Finally we call for concerted analyses
of tissues i.e. feathers and claws of birds which are grown at known sites across the continent and from species with various ecological requirements (diverse habitats, foraging
behaviours, and diet compositions) to establish isoscapes for general applicability.
PLOS ONE | https://doi.org/10.1371/journal.pone.0202025 September 14, 2018
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Matching of multiple stable isotope assignments and geolocation tracking of barn swallow
NiS). The Swiss federal office for environment
contributed financial support for the development
of the data loggers (UTF-Nr. 254, 332, 363, 400).
The funders had no role in study design, data
collection and analysis, decision to publish, or
preparation of the manuscript.
Competing interests: The authors have declared
that no competing interests exist.
Introduction
Individual residence sites outside the breeding season are still fragmentary known for many populations of migratory animals. Underlying reasons are e.g. body size constraints which impede the
adoption of transmitting devices such as GSM and ARGOS PTTs, low recapture rates of individuals marked with archival tags (GPS, geolocators) [1] or even the low numbers in rare species. This
lack of knowledge is unsatisfactory as migratory species are assumed to be prone to divergent
changes in various environments during their annual cycle [2] and thus their actual distribution
should be identified urgently to be able to track ongoing and future distributional shifts [3].
During the last decade, indirect methods for the identification of the distribution in longdistance migrants such as small passerine birds or insects became progressively more sophisticated and nowadays enable an outline of the species’ whereabouts on a very fine geographical
scale [4]. The accuracy of localisation attempts seems especially crucial when targeted conservation actions subsequently are planned within the identified areas.
The analysis of naturally occurring stable isotopes archived in animal tissues is one of the
most widely adopted indirect tracking method developed to date [5]. Stable isotope analyses
are very powerful tools to observe various ecological phenomena in animals, related to food
and water intake, metabolism and finally the incorporation of chemical elements into the animal’s tissues. Herein, the tissue’s isotopic composition mirrors the source composition of the
diet in a predictable manner [6]. Moreover, various tissues in a broader sense differentially
archive this information on temporal scales from hours, like the composition of breath and
blood plasma [7], to very long times in metabolically inert tissues like teeth [8], keratin in
claws and feathers [9,10] or in hair of ancient mummies [11].
Additionally, the distribution of many stable isotopes like δ13C, δ2H and δ18O shows distinct spatial pattern across broad geographical scales, allowing for geographical assignments of
archive stable isotope compositions and thus inference on animal [12]. Today this approach is
frequently used especially in the study (...truncated)