1630
NOTE / NOTE
Isotopic fractionation and turnover in captive
Garden Warblers (Sylvia borin): implications for
delineating dietary and migratory associations in
wild passerines
Keith A. Hobson and Franz Bairlein
Abstract: There is currently a great deal of interest in using stable-isotope methods to investigate diet and migratory
connections in wild passerines. To apply these methods successfully, it is important to understand how stable isotopes
discriminate or change between diet and the tissue of interest and what the element-turnover rates are in metabolically
active tissues. Of particular use are studies that sample birds non-destructively through the use of blood and feathers.
We investigated patterns of isotopic discrimination between diet and blood and feathers of Garden Warblers (Sylvia
borin) raised on an isotopically homogeneous diet (48% C, 5% N) and then switched to one of two experimental diets,
mealworms (56.8% C, 8.3% N) and elderberries, Sambucus niger (47.4% C, 1.5% N). We established that the discrimination factors between diet and blood appropriate for stable carbon (δ13C) and nitrogen (δ15N) isotopes are +1.7‰ and
+2.4‰, respectively. For feathers, these values were +2.7‰ and +4‰, respectively. Turnover of elemental nitrogen in
whole blood was best approximated by an exponential-decay model with a half-life of 11.0 ± 0.8 days (mean ± SD).
Corresponding turnover of carbon was estimated to range from 5.0 ± 0.7 to 5.7 ± 0.8 days. We conclude that this decoupling of nitrogen- and carbon-turnover rates can be explained by differences in metabolic routing of dietary
macromolecules. Our results suggest that tracking frugivory in migratory passerines that switch diets between insects
and fruits may be complicated if only a trophic-level estimate is made using δ15N measurements.
Résumé : L’utilisation des méthodes d’isotopes stables pour étudier le régime alimentaire et les liens migratoires chez
les passereaux sauvages suscite actuellement beaucoup d’intérêt. Pour appliquer ces méthodes avec succès, il est important de comprendre comment les isotopes stables permettent la discrimination et comment ils changent entre le régime
alimentaire et le tissu étudié, ainsi que de savoir quel est le taux de remplacement des éléments dans les tissus métaboliquement actifs. Les études des oiseaux vivants par prélèvement de sang ou de plumes sont particulièrement utiles.
Nous avons déterminé les patterns de discrimination isotopique entre la régime alimentaire, d’une part, et le sang et les
plumes, d’autre part, chez des fauvettes des jardins (Sylvia borin) élevées à un régime alimentaire isotopiquement homogène (48 % C, 5 % N), puis transférées à deux régimes expérimentaux composés de vers de farine (56,8 % C,
8,3 % N) ou de baies de sureau, Sambucus niger (47,4 % C, 1,5 % N). Les facteurs de discrimination entre le régime
alimentaire et le sang correspondant aux isotopes stables de carbone (δ13C) et d’azote (δ15N) sont respectivement de
+1,7 ‰ et de +2,4 ‰. Dans le cas des plumes, les valeurs respectives sont de +2,7 ‰ et de +4 ‰. Le taux de remplacement de l’azote élémentaire dans le sang entier se décrit le mieux par un modèle exponentiel de décomposition avec
une demi-vie de 11,0 ± 0,8 jours (moyenne ± écart type). Le taux de remplacement correspondant pour le carbone
varie de 5,0 ± 0,7 à 5,7 ± 0,8 jours. La dissociation des taux de remplacement de l’azote et du carbone s’explique,
selon nous, par des différences dans le cheminement métabolique des macromolécules alimentaires. Nos résultats laissent croire que l’identification de la frugivorie chez les passereaux migrateurs qui changent leur régime alimentaire
d’insectes pour un régime de fruits peut s’avérer difficile, si on ne fait qu’estimer le niveau trophique à l’aide de mesures de δ15N.
[Traduit par la Rédaction]
Hobson and Bairlein
1635
Received 10 March 2003. Accepted 16 July 2003. Published on the NRC Research Press Web site at http://cjz.nrc.ca on 8 October
2003.
K.A. Hobson.1 Prairie and Northern Wildlife Research Centre, Canadian Wildlife Service, 115 Perimeter Road, Saskatoon,
SK S7N 0X4, Canada.
F. Bairlein. Institut für Vogelforschung, Vogelwarte Helgoland, An der Vogelwarte 21, D-26386, Wilhelmshaven, Germany.
1
Corresponding author (Keith.Hobson@ec.gc.ca).
Can. J. Zool. 81: 1630–1635 (2003)
doi: 10.1139/Z03-140
© 2003 NRC Canada
Hobson and Bairlein
Introduction
The use of stable-isotope methods to elucidate several aspects of avian ecology and ecophysiology is rapidly expanding (Gannes et al. 1998; Hobson 1999). Applications include
delineation of relative proportions of diets gleaned from
two isotopically distinct sources (e.g., Hobson 1986, 1990;
Mizutani et al. 1990; Hobson and Sealy 1991; Hobson et al.
2000b) to the reconstruction of habitat use and origins of
migratory species (Chamberlain et al. 1997; Hobson and
Wassenaar 1997; Marra et al. 1998; Rubenstein et al. 2002).
This field is based on the phenomenon that food webs show
a range of stable-isotope signatures that depend largely, but
not exclusively, on photosynthetic pathway and climate, and
these signatures are passed on to higher level consumers.
The measurement of stable-isotope ratios in avian tissues
can thus be used to infer spatial and dietary information that
is difficult if not impossible to obtain by more conventional
methods.
There are two fundamental aspects to the successful application of the stable-isotope technique to avian studies. The
first is the establishment of diet–tissue-discrimination (previously “fractionation”) factors that describe how isotope signatures change between a bird’s diet and a specific tissue of
interest. The second is establishing the period of time that
tissue isotope values reflect diet, since elemental turnover
occurs in metabolically active tissues. Tissues with high
turnover rates, such as liver and plasma, reflect recent diet,
whereas tissues with slower turnover rates, such as blood
cells and muscle, reflect diet over longer terms (Hobson and
Clark 1993). While stable-isotope analyses have been used
widely to interpret the diets of free-living bird populations,
few controlled laboratory studies have been performed to determine isotope-turnover rates and determine how stable isotopes discriminate or change once they are incorporated into
avian tissues (Hobson and Clark 1992a, 1992b; Gannes et al.
1997). Moreover, recent developments in the use of isotopemixing models to derive quantitative estimates of dietary
contributions of isotopically distinct components specifically
require precise estimates of diet–tissue discrimination
(Phillips and Greg 2001). Avian field studies using stableisotope analyses have thus far assumed that the results of
controlled laboratory studies on captive Japanese Quail
(Coturnix japonica), Ring-billed Gulls (Larus delawarensis),
and American Crows (Corvus brachyrhynchos) (Hobson and
Clark 1992 a, 1992b, 1993) are representative of a wide taxonomic range of bird species, and interpreted their results on
the basis of turnover rates and diet–tissue-discrimination factors derived from these captive species. Haramis et al.
(2001) and Bearhop et al. (2002) recently provided information on both stable carbon- and nitrogen-isotope turnover in
whole blood from wintering Canvasbacks (Aythya valisineria) and captive Great Skuas (Catharacta skua), respectively. These studies were the first to report patterns of
isotope-turnover rates for stable isotopes of both carbon
(δ13C) and nitrogen (δ15N) simultaneously, and they suggested that such patterns were similar. Evans-Ogden et al.
(2003) conducted similar investigations on captive Dunlin
(Calidris alpina pacifica) but the isotope-turnover rates and
discrimination factors that they determined differed from
those from these previous studies on larger bodied waterfowl
1631
and seabirds. Most recently, Pearson et al. (2003) examined
carbon- and nitrogen-isotope discrimination and turnover in
blood and feathers of Yellow-rumped Warblers (Dendroica
coronata) and reported the fastest isotope-turnover rates to
date and a dependence of diet–tissue-discrimination factors
on the elemental composition of the diet. This suggests a
complexity to the application of estimates of stable-isotope
discrimination and turnover that was not previously considered (Bearhop et al. 2002). Here we present the results of a
diet switch and derivation of diet–tissue-discrimination
factors for feathers and blood of captive Garden Warblers
(Sylvia borin) and discuss the relevance of our results to current isotopic investigations of migratory songbirds.
Methods
Avian sample
Ours was an opportunistic study that made use of dietswitching experiments planned for Garden Warblers as part
of a general nutritional study. We were therefore unable to
evaluate the isotope values of the various diets prior to the
diet switching. Nonetheless, because our control group of
birds were maintained on a constant diet for several months
and through feather growth, this did not influence our determination of diet–tissue-discrimination factors per se. Retrospectively, we were able to determine that only two of three
diet switches allowed suitable evaluation of turnover rates
for each isotope and we report on those two manipulations
here. Birds were housed in captivity for 6 months at the Institute of Avian Research, Wilhelmshaven, Germany. Prior to
our experiment, birds were maintained on a standardized
semi-synthetic control diet (14.2% protein, 10% fat, 5% sugars by wet mass; for details see Bairlein 1986). At the time
of flight-feather molt we randomly selected groups of 5 or 6
individuals each representing a control group of birds that
were maintained on this original diet and two experimental
groups, one that was switched to a diet of meal worms and
the other to a diet of black elderberries (Sambucus nigra)
supplemented with a small amount (2.5 g) of the control
diet. Blood sampling was conducted 0, 2, 4, 9, 16, 23, and
30 days following the diet switch by puncturing the brachial
vein and collecting blood in a small capillary tube. Blood
was then transferred to vials containing equal volumes of
70% ethanol. Our experiment followed the guidelines recommended by the Canadian Council on Animal Care.
Stable-isotope analyses
Stable-isotope analyses were performed at the University
of Saskatchewan, Saskatoon, Canada. Blood was freezedried and ground to a fine powder in an analytical mill, and
then directly analyzed isotopically. Feathers were rinsed in a
2:1 chloroform:methanol solution and air-dried in a fume
hood. For diet samples, subsamples were obtained to represent the whole diet, the diet with lipids removed, and the
lipids themselves. Lipids were removed following drying using successive rinses in a 2:1 chloroform:methanol solvent.
We did not perform lipid extraction on whole-blood samples
because of the typically low proportion of lipids in bird
blood (see references in Bearhop et al. 2002). Stable carbon
and nitrogen isotope assays for all tissues were performed
on 1-mg subsamples of homogenized materials by loading
© 2003 NRC Canada
1632
Can. J. Zool. Vol. 81, 2003
Table 1. Elemental and isotopic composition of control and experimental diets used in this study of Garden Warblers (Sylvia borin)
and the isotopic differences between these diet types.
Diet
n
Control
Control minus lipid
Control lipid
Mealworms
Mealworms minus lipid
Mealworm lipid
Elderberries
Elderberries minus lipid
Elderberry lipid
6
6
3
6
6
3
6
6
3
%C
48
44.0
69.2
55.8
48.2
74.9
47.4
46.3
36.3
±
±
±
±
±
±
±
±
±
2.0
1.3
1.0
2.5
4.0
1.2
0.9
1.3
1.0
%N
5.0
6.0
na
8.3
11.8
na
1.5
1.6
na
± 1.0
± 0.9
± 1.6
± 1.3
± 0.1
± 0.04
δ13C (‰)
∆δ13C
control (‰)
δ15N (‰)
∆δ15N
control (‰)
–25.8
–24.2
–29.1
–28.0
–25.6
–31.4
–28.8
–29.0
–28.1
na
na
na
–2.2
–1.4
–2.3
–3.0
–4.8
+1.0
6.5
6.2
na
4.3
4.6
na
6.7
6.9
na
na
na
na
–2.2
–1.6
na
+0.2
+0.7
na
± 0.23
± 0.3
± 0.2
± 0.04
± 0.1
± 0.3
± 1.3
± 0.2
± 0.2
± 0.1
± 0.1
± 0.1
Table 2. Diet–tissue isotope-discrimination factors (∆δ13C and ∆δ15N) for whole blood and feathers derived
from controlled feeding trials of Garden Warblers and comparisons with the results of other studies.
Mean diet–tissue discrimination
Blood
Garden Warbler
Yellow-rumped Warbler
Dunlin
Great Skua
Japanese Quail
Canvasback
Feathers
Garden Warbler
Yellow-rumped Warbler
Great Skua
Quail
Fish-eating birds
∆δ13C (‰)
∆δ15N (‰)
Source
1.7
–1.2 to 2.2
1.3
1.1 to 2.3
1.2
1.5
2.4
1.7 to 3.0
2.9
2.8 to 4.2
2.2
3.0
This study
Pearson et al. 2003
Evans-Ogden et al. 2003
Bearhop et al. 2002
Hobson and Clark 1992a
Haramis et al. 2000
2.7
1.9 to 4.3
2.1 to 2.2
1.4
3.3
4.0
3.2 to 3.5
4.6 to 5.0
1.6
4.4
This study
Pearson et al. 2003
Bearhop et al. 2002
Hobson and Clark 1992a
Mizutani et al. 1992
them into tin cups and combusting them at 1800 °C in a
Robo-Prep elemental analyzer. Resultant CO2 and N2 gases
were then analyzed using an interfaced Europa 20:20
continuous-flow isotope ratio mass spectrometer with every
five unknowns separated by two laboratory standards.
Stable-isotope abundances are expressed in δ notation as the
deviation from standards in parts per thousand (‰) according to δX = [(Rsample/Rstandard) – 1] × 1000, where X is 13C or
15
N and R is the corresponding 13C/12C or 15N/14N ratio. The
standard values were based on the Vienna PeeDee Belemnite
for δ13C measurements and atmospheric N2 for δ15N measurements. Hundreds of replicate assays of internal laboratory standards (albumen) indicate measurement errors (SD)
of ±0.1‰ and ±0.3‰ for stable carbon and nitrogen isotope
measurements, respectively.
Results
Diet–tissue isotope discrimination
The results of our isotopic and elemental analyses of dietary samples and how they compared with the control diet
are given in Table 1. Birds maintained on the control diet
showed remarkably consistent isotope values for blood and
feathers while they were grown on this diet (Table 1) and
this facilitated accurate estimation of diet–tissue-discrimination
factors for these two tissues (Table 2). Because birds
switched to a new diet had not reached equilibrium after
30 days, we did not calculate diet–tissue-discrimination factors for diets other than the control. As expected, the lipid
component of diets was generally more depleted in 13C than
in whole diets or lipid-extracted diets (Table 1).
Turnover rates
We obtained suitable isotopic dietary shifts to allow us to
model turnover rates for one case involving both δ15N and
δ13C values. The exponential decay curve Y = Y0 + a ×
exp(–bt) provided the best fit to the data for the shift from
the control to the mealworm diet. Here Y0 represents the initial tissue isotope value, a and b are derived constants, and t
is time since the diet switch. To calculate the half-life of
each element without risk of pseudoreplication (O’Brien et
al. 2000), we fitted exponential decay curves for data for
each individual and then averaged these values. We determined a half-life (defined as ln(0.5)/b) of 11.0 ± 0.8 days
(n = 5) for δ15N values and 5.0 ± 0.7 days (n = 5) for δ13C
values. A similar half-life of 5.7 ± 0.8 days (n = 6) was
found for δ13C values following a switch to elderberries, but
the negative exponential regression was not significant. For
purely illustrative purposes, we depicted element-turnover
patterns for nitrogen and carbon by fitting a single decay
© 2003 NRC Canada
Hobson and Bairlein
1633
Fig. 1. Exponential decay curves for δ15N (A) and δ13C (B) in
blood of captive Garden Warblers (Sylvia borin) switched on day
0 from the control diet to the mealworm diet. Error bars represent the standard deviation of the mean for all experimental
birds. For illustrative purposes only; half-life estimates given in
the text are based on means for all individuals calculated separately.
Fig. 2. Exponential decay curves for δ15N (A) and δ13C (B) in
blood of captive Garden Warblers switched on day 0 from the
control diet to the elderberry diet. Error bars represent the standard deviation of the mean for all experimental birds. For illustrative purposes only; half-life estimates given in the text are
based on means for all individuals calculated separately.
curve to the means of the combined data for all individuals
for the control-to-mealworm switch (Fig. 1; δ15N: r2 = 0.99,
F[2,4] = 199.1, p < 0.001; δ13C: r2 = 0.90, F[2,4] = 17.8, p =
0.01) and for the control-to-elderberry switch (Fig. 2; δ13C:
r2 = 0.38, F[2,4] = 1.3, p = 0.38).
ets more typical of fruit- or plant-based diets than for highprotein (or higher trophic level) diets. This suggests that
while general discrimination factors thus far established can
be used in cases where birds consume a known plant- or
animal-based diet, omnivorous species that switch between
diets which differ in elemental composition need to be dealt
with using concentration-dependent mixing models (Phillips
and Koch 2002).
Using the equations of Pearson et al. (2003) relating isotopic discrimination to the percentage of carbon and nitrogen
in diets, we found a generally poor fit to our data (∆dt15N =
1.9‰ vs. 2.4‰; ∆dt13C = 0.6‰ vs. 1.7‰) and so further
tests of the generality of the effect of elemental composition
on discrimination factors are required. In addition to elemental composition, we believe that differential metabolic routing of elements from diet to tissues can contribute to
variation in derived diet–tissue-discrimination factors. For
example, 13C is typically more depleted in lipids than in
other macromolecules (e.g., Table 1). Since carbon from the
lipid fraction of the diet may not contribute to the carbon
Discussion
Diet–tissue discrimination
Our study provides additional insight into factors influencing diet–tissue isotope discrimination factors for blood
and feathers of birds. As shown in Table 2, these values are
generally similar to those found for other species of diverse
taxonomy, with the possible exception of domestic quail
(Coturnix japonica) raised on a plant-based diet and Great
Skuas raised on a beef versus fish diet (Bearhop et al. 2002).
Pearson et al. (2003) recently established that isotopediscrimination factors in Yellow-rumped Warblers are sensitive to the elemental composition of diets. Specifically, less
discrimination was found for low-carbon or low-nitrogen di-
© 2003 NRC Canada
1634
content of proteins in blood or keratin in feathers, differential lipid contents of food can contribute to variation in diet–
tissue-discrimination factors. For this reason, it is often difficult to compare the results of studies that do not present the
lipid-extracted δ13C values of the diet.
Elemental turnover
Our opportunistic evaluation of element-turnover rates in
the blood of a small passerine confirmed the findings of
Pearson et al. (2003), who reported half-life estimates of
3.9–6.1 days for δ13C in Yellow-rumped Warblers. Unfortunately, those authors were unable to establish reliable
turnover-rate estimates for δ15N. In our study, the switch
from the control diet to the mealworm diet corresponded to a
δ15N change in dietary substrate (e.g., ~2‰) sufficient to
provide an approximation of 11.0 days for the mean half-life
of nitrogen in blood. This value is extremely close to that
derived for Japanese Quail (11.4 days; Hobson and Clark
1992b) and captive Dunlin (9.6 and 10.4 days using δ15N
and δ13C values, respectively; Evans-Ogden et al. 2003).
Bearhop et al. (2002) reported blood half-life estimates of
14.4–15.7 days for Great Skuas and Haramis et al. (2001)
reported estimates of 17.6–19.8 days (here derived from their
turnover-time constants for whole blood) for Canvasbacks
switched to a high-carbohydrate food (celery and tubers) and
25.3–26.3 days for birds switched to a high-protein (clam)
diet. These results support the hypothesis that smaller birds
with correspondingly higher metabolic rates have a higher
element-turnover rate in blood (Tieszen et al. 1983; Pearson
et al. 2003).
There is considerable interest in using stable-isotope measurements of blood in small migratory passerines arriving in
spring in North America and elsewhere to infer geographic
location or habitat use by individuals on the wintering
grounds. Marra et al. (1998) used isotope measurements of
muscle tissue in spring-arriving male American Redstarts
(Setophaga ruticilla) to determine that later arriving birds
came from more xeric, 13C-isotope-enriched habitats than
early arrivals, which apparently occupied more favorable
mesic habitats. Their study was based on the assumption that
isotopic signals from the wintering grounds were detectable
following long-distance migration. Although we provide information only on whole-blood isotope turnover, our results
can be used to model the appropriate window during which
wintering ground signals might be detectable in such metabolically active tissues in small migratory passerines. Such
detectability will depend on the magnitude of the isotopic
difference between wintering-ground food webs and those
experienced during migration. In addition, it is important to
realize that migratory passerines do not have ad libitum access to food but replenish primarily lipid and some protein
reserves at stopover sites en route. The isotopic signal available at the spring arrival grounds will depend in part, then,
on the number of stopovers the individual has made prior to
arrival. Hobson (2003a) has modeled such isotopic changes
for a hypothetical migratory bird for varying degrees of protein use en route. Our estimate of relatively rapid turnover
rates of elements in small passerines provides some evidence
that such isotope tracking will be applicable only for birds
moving between biomes with relatively large isotopic differences, and perhaps in as little as just a few weeks. Recently,
Can. J. Zool. Vol. 81, 2003
Bearhop et al. (2003) suggested that isotopic measurements
of bird claws can provide more useful information on
wintering-ground biomes, owing to their slow growth rates.
The magnitude of the carbon-isotope shift from the control diet to the experimental diets was relatively small compared with results from previous studies using the shifts
from C-3 to C-4 (Hobson and Clark 1992b) or from terrestrial to marine sources (Bearhop et al. 2002). Our estimate
of a half-life of about 5–5.7 days for carbon in blood,
derived from two independent dietary-shift experiments,
should therefore be considered with caution. However, such
estimates concur with those made by Pearson et al. (2003).
If these relatively rapid turnover estimates are accurate, they
may correspond to a decoupling of the nitrogen and carbon
metabolic pathways during blood-cell formation. For dietary
protein, a macromolecule readily incorporated into the body
protein of the consumer, we can expect reasonably close
coupling between patterns of turnover of carbon and nitrogen. However, for carbohydrates and fats, metabolic pathways for carbon and nitrogen can become decoupled
(Hobson and Stirling 1997; Hobson et al. 2000a). The faster
uptake of carbon following the switch to a mealworm diet
may reflect more immediate metabolism of the lipid component of this new diet compared with slower uptake of proteins. Similarly, the switch to elderberries from the control
diet could reflect rapid uptake of new carbon from the carbohydrate versus the protein component of this fruit diet. If
true, our results have significant implications for tracing the
importance of frugivory in migratory birds. In such studies,
reliance on δ15N values to indicate a trophic shift from insects to fruit may underestimate the relative importance of
fruits in the weeks following blood sampling (e.g., Hererra
et al. 2001). Pearson et al. (2003) similarly advised caution,
based on expected changes in isotope-discrimination factors,
as birds may switch between high- and low-nitrogen diets.
The results of our study underline the need for further experimental manipulations of the diet of captive birds to evaluate the intricacies of how dietary substrate influences both
diet–tissue isotopic discrimination and elemental turnover in
blood. Currently, we still do not have a good idea of how
metabolic-rate changes expected during migration or other
energetically taxing periods for wild birds influence these
parameters. Hobson (2003b) recently suggested that isotopic
manipulations of the diet of birds conditioned to use a wind
tunnel would be an optimal means of investigating these
questions.
Acknowledgments
This study was supported in part by an operating grant to
K.A.H. from the Canadian Wildlife Service. We thank
Patricia Healy for assistance with stable isotope sample
preparation. Stable-isotope analyses were performed at the
Department of Soil Science, University of Saskatchewan,
Saskatoon. Page Chamberlain and Don Phillips made valuable comments on a previous draft of the paper.
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