Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Trophic Enrichment Factors for Blood Serum in the European Badger (Meles meles)

  • David J. Kelly ,

    djkelly@tcd.ie

    Affiliation Department of Zoology, School of Natural Sciences, Trinity College, Dublin, Ireland

  • Andrew Robertson,

    Affiliation Centre for Ecology and Conservation, University of Exeter, Cornwall Campus, Tremough, Cornwall, United Kingdom

  • Denise Murphy,

    Affiliation School of Veterinary Medicine, University College Dublin (UCD), Dublin, Ireland

  • Tara Fitzsimons,

    Affiliation School of Veterinary Medicine, University College Dublin (UCD), Dublin, Ireland

  • Eamon Costello,

    Affiliation Central Veterinary Research Laboratory, Department of Agriculture, Food and the Marine, Backweston, Celbridge, County Kildare, Ireland

  • Eamonn Gormley,

    Affiliation School of Veterinary Medicine, University College Dublin (UCD), Dublin, Ireland

  • Leigh A. L. Corner,

    Affiliation School of Veterinary Medicine, University College Dublin (UCD), Dublin, Ireland

  • Nicola M. Marples

    Affiliation Department of Zoology, School of Natural Sciences, Trinity College, Dublin, Ireland

Abstract

Ecologists undertaking stable isotopic analyses of animal diets require trophic enrichment factors (TEFs) for the specific animal tissues that they are studying. Such basic data are available for a small number of species, so values from trophically or phylogenetically similar species are often substituted for missing values. By feeding a controlled diet to captive European badgers (Meles meles) we determined TEFs for carbon and nitrogen in blood serum. TEFs for nitrogen and carbon in blood serum were +3.0±0.4‰ and +0.4±0.1‰ respectively. The TEFs for serum in badgers are notably different from those published for the red fox (Vulpes vulpes). There is currently no data for TEFs in the serum of other mustelid species. Our data show that species sharing similar niches (red fox) do not provide adequate proxy values for TEFs of badgers. Our findings emphasise the importance of having species-specific data when undertaking trophic studies using stable isotope analysis.

Introduction

Stable isotope analysis [1] and the use of mixing models [2], [3] allow detailed investigations of the diet of wild animals. In combination they provide estimations of the contributions of different food sources to an animal's overall diet. As an animal metabolises the nutritional components of its diet, different isotopes of the same element are processed in different ways. In vertebrate species there is a tendency for heavier isotopes to be retained [4]. This process applies most notably to the metabolism of carbon and nitrogen, the essential building blocks of amino acids and proteins [5]. There are higher ratios of 15N to 14N and 13C to 12C in animal tissues compared to those of their food. This is referred to as trophic enrichment [2], [6] (synonymous with trophic fractionation, [7] enrichment, [8] fractionation [9] or discrimination [10]). The trophic enrichment factor (TEF) is a fundamental piece of information required by ecologists using stable isotope analysis [2], [3] to determine food sources and diversity, but TEFs have been determined for very few animals [11], [12], [13], [14]. For those species where TEFs have not been determined, researchers are forced to use values from trophically or phylogenetically related species [15], [16]. In the past few years, researchers have conducted stable isotope studies on mustelids without specific data for the species they were studying [17], [18]. Due to the lack of information in the literature, they have used animals as diverse as foxes, wolves, pigs and sea lions, as sources for TEFs. The use of proxy TEFs may be inappropriate, as TEFs may differ significantly between species of the same genus [19], between species in the same ecological niche [20], and a single species may show different TEFs depending on the specialisation of their diet [21], [22], [23].

To determine the TEF for a species, study animals must be maintained in a controlled environment, with a controlled diet, and for a prolonged period of time [24]. Ideally, animals should be fed on a single food source for a sufficient time to allow the isotope ratios in their tissues to equilibrate with their control diet. The time required to reach equilibrium varies between tissues, for example, the equilibration time for serum is faster than that for red blood cells (RBCs) [22]. After allowing sufficient time for equilibration between the tissue and the control diet, the TEF for each element can be estimated by a simple calculation: the isotopic value from the tissue minus the isotopic value from the food. However, it is not easy or convenient to maintain animals on a constant, controlled diet in a controlled environment [25]. While collecting tissues from animals across extended periods may assist in the interpretation of their diet [26], [27], such interpretations will only be qualitative and will lack sufficient detail for use in trophic mixing models. It is only when the TEF of the study animal is known, along with the isotopic values of the available food sources, that quantitative calculations may be undertaken [11], [22], [27].

The European badger (Meles meles) is a social mustelid found across Europe [28], [29]. In the UK and Ireland it is a reservoir for Mycobacterium bovis, the cause of tuberculosis (TB) [27], [30], [31], and hence the diet of badgers is of particular research interest in those countries [32], [33], [34], [35], [36]. Badgers are omnivorous [37], [38], [39], [40], opportunistic feeders [37], [41], showing evidence of seasonal specialisation [32].

The diet of wild badgers has been investigated using the analysis of stomach contents collected post mortem [41], [42] and the analysis of voided faeces [37], [43]. Recent work has demonstrated that the analysis of stomach contents of badgers gives a better indication of their diet than faecal analyses [44]. Stable isotope analysis of blood offers a complementary technique for the determination of badger diet. While gut contents and faecal analysis may provide information on the species being consumed, stable isotope analysis can provide information on the relative contributions of those species to the diet [45]. Blood sampling is a mildly invasive technique and offers a way of collecting time-series data on individuals. However, in order to generate the data from blood fractions, it is necessary to know the TEFs of those tissues.

Using captive badgers, fed on a controlled diet, we determined the TEFs for carbon and nitrogen in the serum (a blood fraction that turns over within a few days [46]). Lipid-extracted values were calculated for δ13C TEFs, as lipids have a lower δ13C values, relative to protein and carbohydrate [47], [48].

Results and Discussion

Lipid Extraction values for samples

Lipid extraction significantly changed the δ13C values of the dog biscuit and peanut samples, but not the blood serum (Table 1). We have provided data on the lipid-extraction of red blood cells (RBCs) (Table 1), although we were unable to generate reliable TEFs for that blood fraction. Where the lipid extraction process generated a significant change in the δ13C value, the differences were adopted as transformations and applied to all appropriate samples.

thumbnail
Table 1. Mean isotopic changes for δ13C after lipid extraction (including P values and sample sizes from comparison T-tests) of dog biscuits, peanuts and badger blood serum and badger red blood cells (RBCs).

https://doi.org/10.1371/journal.pone.0053071.t001

Trophic enrichment values for serum

The isotopic values of the biscuits and the badger serum samples from November 2008, after one month on a biscuit-only diet, are shown in Table 2. TEFs for δ15N and δ13C in serum were +3.0±0.4‰ and +0.4±0.1‰, respectively. These values were compared with serum data gathered from earlier in the year (between May and July 2008). The data for serum samples from May, June and July 2008 (Figures 1a, 1b and 1c, respectively) were plotted using Stable Isotope Analysis in R (SIAR) [2]. Figure 1 shows the isotopic values of the serum samples. No lipid-extraction adjustments were made to serum samples, as there was no demonstrable effect of lipid extraction (Table 1).

thumbnail
Figure 1. Stable isotopic values of serum from captive badgers fed a diet of biscuits and peanuts.

These plots use trophic enrichment factors (TEFs) derived from three captive animals fed on a biscuit-only diet. The TEF for each dietary source is represented by a mean and standard deviation for both axes (δ15N and δ13C), plotted using SIAR [2]. Additional data for earthworms are provided for comparison. a. May 2008 (16 badgers). b. June 2008 (10 badgers). c. July 2008 (10 badgers).

https://doi.org/10.1371/journal.pone.0053071.g001

thumbnail
Table 2. Mean isotopic values for δ15N and δ13C (lipid extracted) obtained from serum of three captive badgers fed on a controlled diet for one month, and the calculated trophic enrichment factors (TEF) for each animal.

https://doi.org/10.1371/journal.pone.0053071.t002

It is clear that the isotopic values of serum taken in May (Figure 1a), June (Figure 1b) and July 2008 (Figure 1c) are located roughly on a line joining the mean isotopic values of the biscuits and peanuts. These data support the calculated TEFs and suggest that the badgers were solely reliant on the provisioned food and were not supplementing their diet with other food available from the enclosures. Six earthworms sampled from the badger enclosures showed distinct isotopic values (mean δ15N = 6.6±0.7‰, mean δ13C = −25.3±0.5‰, n = 6), as did those from beetles (1 adult and 1 larva - data combined) sampled from the enclosures (mean δ15N = 7.7±0.2‰, mean δ13C = −26.3±0.7‰, n = 2). Invertebrate samples were corrected for lipids using a general invertebrate value [49]. It is clear that the captive animals were not ingesting large quantities of earthworms, beetles or beetle larvae, as their serum values would have been shifted away from the line between the peanut and biscuit values (Figure 1). This is an interesting finding, as earthworms have been considered to be an important part of the diet of badgers in the UK [39], [50] and Ireland [51]. However, we cannot exclude the possibility of a low level of ingestion of invertebrates.

The potential of blood fraction TEFs for future work

In mammals, the half-life of RBCs is related to body size [52]. The body weight of an adult badger (6–17 kg [53]) is similar to that of a medium-sized dog. As the life span of RBCs in dogs is 90–135 days [54], we believe that the life span of RBCs in badgers would fall within a similar range.

The isotopic value obtained from serum is representative of the diet of an animal during the preceding week, based on serum protein turnover rates [22], whereas the isotopic value from the RBCs represents the diet during a period of three to four months [52], [54]. As badgers have a seasonally variable diet [32], [55], it seems unlikely that they would remain on a fixed diet for many months at a time. So, while the isotopic values of RBCs could provide information on longer-term (e.g. inter-annual) trophic shifts, studies using serum would probably be necessary to identify dietary changes within any given calendar year.

Comparison of trophic enrichment values with other species

While there are data for TEFs of bone collagen [56], muscle [57], vibrissae [58] and RBCs [59], there is no data available on TEFs of blood serum for any mustelid species.

The red fox has a similar body weight range (3–14 kg [60]) to the European badger (6–17 kg [53]) and shares a similar trophic niche, being an omnivorous and opportunistic feeder [32], [37], [41], [55]. TEFs for serum in the red fox are +4.2‰ for δ15N [24] (higher than our value for badgers of +3.0‰) and +0.6‰ for δ13C [24] (slightly higher than our value for badgers of +0.4‰). The disparities in these data suggest fundamental differences in the metabolism of the two species, as both datasets used lipid-extracted samples derived from captive animals fed on a controlled diet of dried food.

We identified only one major difference between the red fox and badger protocols, being the sex ratio composition of the test groups. The red fox study (Roth & Hobson 2000) used groups with nine males and one female, whereas our study group comprised three females. While it is possible that there may differences in the TEFs of male and female badgers, we have found no indication that this has been recorded in other mammal species. Indeed, TEFs have been assumed to be the same for males and females when dietary differences have been identified between the two sexes [61], [62]. The red fox study group [24] and badger group 1 (this study) were both comprised of subadult animals.

TEF variability with diet

It is probable that free-ranging European badgers will show clear variation in δ15N values when their diet has significant contributions from sources as disparate as carrion and fruit [32], [37], [40]. Our values for badger TEFs were derived from dried food with a mixture of meat, poultry and fish meal. It is likely that TEFs derived from frugivorous badgers will differ [11]. However, we were able to detect, using the TEFs we calculated for badgers fed on a controlled (biscuit) diet, the high proportion of peanuts in the diet of other captive badgers (Figure 1). This supports the validity of our experimentally-derived TEFs for serum and demonstrates they may be safely applied to badgers on an omnivorous diet.

TEF variability with age

Roth & Hobson [24] showed that the TEFs of δ15N for subadult red foxes are greater than those for adult red foxes for liver, muscle and fur. Unfortunately, that study has no comparable data for blood fractions. In our study of blood serum, we have no directly comparable data for subadult and adult badgers, as all badgers in our study were subadults. If badgers exhibit the same trend as red foxes, our data would be shifted right on the X (δ15N) axes of the isotope plots (Figure 1), a result of subtracting a lower TEF from the δ15N values of the adults. As this would take the data further from an imaginary line joining the mean isotopic values for the provisioned food sources, and the expected range of dietary mixtures, we do not believe that the TEF of δ15N in blood serum for subadult badgers is greater than that of adult badgers.

Conclusions

Knowledge of the TEFs for the serum of badgers should allow stable isotopic investigation of their trophic biology to be conducted in much greater detail. Our data, and its comparison with other species, demonstrates the risks that may be encountered when ecological similarities are employed to “guesstimate” the TEFs for a species where specific data are unavailable. We found significant discrepancies between the TEFs of badgers and species occupying a similar ecological niche (red fox). There appears to be no satisfactory substitute for empirical studies to determine TEFs for the tissues of a particular species [11]. While it may prove perplexing for trophic ecologists, a clear understanding of the differences in TEFs between animals of similar phylogeny, size and diet will serve to improve our understanding of their specific biologies.

Methods

Ethical statement

The studies on badgers were approved by the Animal Research Ethics Committee at University College Dublin and carried out under licence by the Department of Health and Children, Ireland (B100/3187).

Animals

The badgers were held in outdoor pens, each ∼200 m2 with earthen floors covered in grass and shrubs. The group size within the pens varied from 1 to 4 animals. While 17 badgers were available for study between April and October 2008, only three individuals (all females, born in captivity in 2008), constituting one group, (group 1) were available through October and November 2008. By October 2008, all three of these animals had reached weights comparable with adult females in the wild (data from Department of Agriculture, Food and the Marine).

Dietary variation

Between May and November 2008, the badgers were provided with a mixture of dog biscuits (Connolly's Red Mills, Goresbridge, Ireland) and shelled peanuts (Murtagh & Sons, Ashbourne, Ireland). Samples of peanuts and biscuits were taken for analysis from each new batch as they were used. Access to water was ad libidum. For the month of October 2008, the three badgers of group 1 were fed only dog biscuits. Biscuits were selected as the single-source diet as they were preferred to peanuts and showed less variation in their isotopic values (Figure 1).

Blood Sampling

Blood serum was collected routinely (every four to five weeks) from each animal between May and November 2008. This sampling protocol allowed for a minimum of four half-lives of serum between samples [46]. Serum samples collected in November (after five weeks on a single-source diet) were used to calculate the TEF for blood serum. This value was compared to values obtained from serum collected earlier in the year, when animals had access to two food sources, dog biscuits and peanuts. Any changes to the diet of the badgers took place after the collection of blood samples.

Invertebrate Sampling

A range of invertebrates, earthworms (Lumbricidae) (n = 6), beetle larvae (n = 1) and adult (n = 1) beetles (Carabidae), were sampled from the badger enclosures in October and November 2008. These invertebrates represented potential alternative food available to the badgers.

Sample preparation

Blood samples were collected in serum separator tubes (SST, BD Vacutainer®) and centrifuged at 1400 g for 10 mins to separate the serum from the RBCs and stored at −20°C. The blood fractions were dried at 60°C for 24 h then ground into a fine powder with a mortar and pestle. Invertebrate, peanut and biscuit samples were similarly dried and ground. Analysis of serum was performed in triplicate, while ten samples of the peanuts and biscuits were used to derive mean isotopic values. All invertebrate samples were analysed only once. Analysis was conducted in a Thermo Deltaplus Continuous Flow Isotope Ratio Mass Spectrometer (CFIRMS) with a CE Instruments 1112 Flash Elemental Analyser. Nitrogen and carbon isotope ratios are reported relative to primary standards, atmospheric air (VAIR) and Peedee Belemnite (VPDB), respectively, using a working standard, l-Alanine (δ15N = −7.767‰, δ13Corganic = −25.119‰). Our isotopic values are reported to one decimal place, to reflect the precision and repeatability of the analytical technique.

Lipid Extraction

As lipid is depleted in δ13C relative to protein and carbohydrate [47], [48], lipid was extracted from subsamples of the blood fractions and food sources. Using five paired replicates, lipid-extracted samples of dog biscuit, peanut and serum were compared to untreated (no lipid extraction) samples. By comparing the δ13C values of the untreated and lipid-extracted samples, a series of correction factors were identified.

Lipids were extracted from dried, homogenised samples using a Soxholet apparatus with a refluxing 2∶1 chloroform∶methanol solution [63]. The lipid-extracted samples were dried in an oven at 60°C until mass remained constant and ground to a fine powder. Carbon (δ13C) and nitrogen (δ15N) isotope values were determined using a Fissons 1108 elemental analyser (EA) linked to a continuous-flow isotope-ratio mass spectrometer (Isoprime – GV instruments). These analyses were conducted at the Food and Environment Research Agency mass spectrometry facility in York, UK.

Acknowledgments

The authors thank Robbie Goodhue (Department of Geology, Trinity College, Dublin) for his assistance in the analysis of the samples. We are grateful to Prof Mark T. Clementz and two anonymous referees for comments on previous versions of this manuscript.

Author Contributions

Conceived and designed the experiments: DJK DM EC EG LALC NMM. Performed the experiments: DJK AR DM TF EC EG LALC. Analyzed the data: DJK AR EG LALC. Contributed reagents/materials/analysis tools: DJK AR DM TF EC EG LALC. Wrote the paper: DJK AR EG LALC NMM.

References

  1. 1. de Groot PA (2004) Handbook of Stable Isotope Analytical Techniques. Amsterdam, Netherlands: Elsevier. 1234 p.
  2. 2. Parnell AC, Inger R, Bearhop S, Jackson AL (2010) Source partitioning using stable isotopes: Coping with too much variation. PLoS One 5.
  3. 3. Phillips DL (2001) Mixing models in analyses of diet using multiple stable isotopes: a critique. Oecologia 127: 166–170.
  4. 4. Criss RE, Farquhar J (2008) Abundance, notation, and fractionation of light stable isotopes. Oxygen in the Solar System 68: 15–30.
  5. 5. Hinwood BG (1997) A Textbook of Science for Health Professionals. Cheltenham, UK: Stanley Thornes. 520 p.
  6. 6. Tibbets TM, Wheeless LA (2006) Trophic enrichment without change in diet: An ontogenetic shift in delta 15N during insect metamorphosis. Integrative and Comparative Biology 46: E141–E141.
  7. 7. McNett K, Longino J, Barriga P, Vargas O, Phillips K, et al. (2010) Stable isotope investigation of a cryptic ant-plant association: Myrmelachista flavocotea (Hymenoptera, Formicidae) and Ocotea spp. (Lauraceae). Insectes Sociaux 57: 67–72.
  8. 8. Kurle CM (2002) Stable-isotope ratios of blood components from captive northern fur seals (Callorhinus ursinus) and their diet: applications for studying the foraging ecology of wild otariids. Canadian Journal of Zoology-Revue Canadienne De Zoologie 80: 902–909.
  9. 9. Todd SK, Holm B, Rosen DAS, Tollit DJ (2010) Stable isotope signal homogeneity and differences between and within pinniped muscle and skin. Marine Mammal Science 26: 176–185.
  10. 10. Seminoff JA, Jones TT, Eguchi T, Hastings M, Jones DR (2009) Stable carbon and nitrogen isotope discrimination in soft tissues of the leatherback turtle (Dermochelys coriacea): Insights for trophic studies of marine turtles. Journal of Experimental Marine Biology and Ecology 381: 33–41.
  11. 11. Crawford K, McDonald RA, Bearhop S (2008) Applications of stable isotope techniques to the ecology of mammals. Mammal Review 38: 87–107.
  12. 12. Dalerum F, Angerbjorn A (2005) Resolving temporal variation in vertebrate diets using naturally occurring stable isotopes. Oecologia 144: 647–658.
  13. 13. Robbins CT, Felicetti LA, Sponheimer M (2005) The effect of dietary protein quality on nitrogen isotope discrimination in mammals and birds. Oecologia 144: 534–540.
  14. 14. Vanderklift MA, Ponsard S (2003) Sources of variation in consumer-diet delta N-15 enrichment: a meta-analysis. Oecologia 136: 169–182.
  15. 15. Navarro J, Louzao M, Igual JM, Oro D, Delgado A, et al. (2009) Seasonal changes in the diet of a critically endangered seabird and the importance of trawling discards. Marine Biology 156: 2571–2578.
  16. 16. Newsome SD, del Rio CM, Bearhop S, Phillips DL (2007) A niche for isotopic ecology. Frontiers in Ecology and the Environment 5: 429–436.
  17. 17. Dalerum F, Angerbjorn A, Kunkel K, Shults BS (2009) Patterns of d13C and d15N in wolverine (Gulo gulo) tissues from the Brooks Range, Alaska. Current Zoology 55: 188–192.
  18. 18. Newsome SD, Tinker MT, Monson DH, Oftedal OT, Ralls K, et al. (2009) Using stable isotopes to investigate individual diet specialization in California sea otters (Enhydra lutris nereis). Ecology 90: 961–974.
  19. 19. Mizutani H, Fukuda M, Kabaya Y (1992) C13 enrichment and N15 enrichment factors of feathers of 11 species of adult birds. Ecology 73: 1391–1395.
  20. 20. Becker BH, Newman SH, Inglis S, Beissinger SR (2007) Diet-feather stable isotope (delta N-15 and delta C-13) fractionation in Common Murres and other seabirds. Condor 109: 451–456.
  21. 21. Ben-David M, Schell DM (2001) Mixing models in analyses of diet using multiple stable isotopes: a response. Oecologia 127: 180–184.
  22. 22. Hilderbrand GV, Farley SD, Robbins CT, Hanley TA, Titus K, et al. (1996) Use of stable isotopes to determine diets of living and extinct bears. Canadian Journal of Zoology-Revue Canadienne De Zoologie 74: 2080–2088.
  23. 23. Miron MLL, Herrera MLG, Ramirez PN, Hobson KA (2006) Effect of diet quality on carbon and nitrogen turnover and isotopic discrimination in blood of a New World nectarivorous bat. Journal of Experimental Biology 209: 541–548.
  24. 24. Roth JD, Hobson KA (2000) Stable carbon and nitrogen isotopic fractionation between diet and tissue of captive red fox: implications for dietary reconstruction. Canadian Journal of Zoology-Revue Canadienne De Zoologie 78: 848–852.
  25. 25. Christie KS, Hocking MD, Reimchen TE (2008) Tracing salmon nutrients in riparian food webs: isotopic evidence in a ground-foraging passerine. Canadian Journal of Zoology-Revue Canadienne De Zoologie 86: 1317–1323.
  26. 26. Kruuk H (1989) The Social Badger. Oxford, UK: Oxford University Press. 156 p.
  27. 27. Clifton-Hadley RS, Wilesmith JW, Stuart FA (1993) Mycobacterium bovis in the European badger (Meles meles) - Epidemiologic findings in tuberculous badgers from a naturally-infected population. Epidemiology and Infection 111: 9–19.
  28. 28. del Cerro I, Marmi J, Ferrando A, Chashchin P, Taberlet P, et al. (2010) Nuclear and mitochondrial phylogenies provide evidence for four species of Eurasian badgers (Carnivora). Zoologica Scripta 39: 415–425.
  29. 29. Roper TJ (2010) Badger. London, UK: HarperCollins. 386 p.
  30. 30. Gormley E, Costello E (2003) Tuberculosis and badgers: new approaches to diagnosis and control. Journal of Applied Microbiology 94: 80S–86S.
  31. 31. Griffin JM, Williams DH, Kelly GE, Clegg TA, O'Boyle I, et al. (2005) The impact of badger removal on the control of tuberculosis in cattle herds in Ireland. Preventive Veterinary Medicine 67: 237–266.
  32. 32. Cleary GP, Corner LAL, O'Keeffe J, Marples NM (2009) The diet of the badger Meles meles in the Republic of Ireland. Mammalian Biology 74: 438–445.
  33. 33. Delahay RJ, Davison J, Poole DW, Matthews AJ, Wilson CJ, et al. (2009) Managing conflict between humans and wildlife: trends in licensed operations to resolve problems with badgers Meles meles in England. Mammal Review 39: 53–66.
  34. 34. Mathews F (2009) Zoonoses in Wildlife: Integrating Ecology into Management. Advances in Parasitology 68: 185.
  35. 35. Ward AI, Tolhurst BA, Delahay RJ (2006) Farm husbandry and the risks of disease transmission between wild and domestic mammals: a brief review focusing on bovine tuberculosis in badgers and cattle. Animal Science 82: 767–773.
  36. 36. White PC, Bohm M, Marion G, Hutchings MR (2008) Control of bovine tuberculosis in British livestock: there is no ‘silver bullet’. Trends in Microbiology 16: 420–427.
  37. 37. Goszczynski J, Jedrzejewska B, Jedrzejewski W (2000) Diet composition of badgers (Meles meles) in a pristine forest and rural habitats of Poland compared to other European populations. Journal of Zoology 250: 495–505.
  38. 38. Kaneko Y, Maruyama N, Macdonald DW (2006) Food habits and habitat selection of suburban badgers (Meles meles) in Japan. Journal of Zoology 270: 78–89.
  39. 39. Kruuk H, Parish T (1981) Feeding specialization of the European badger Meles meles in Scotland. Journal of Animal Ecology 50: 773–788.
  40. 40. Rosalino LM, Santos-Reis M (2009) Fruit consumption by carnivores in Mediterranean Europe. Mammal Review 39: 67–78.
  41. 41. Lüps P, Roper TJ, Stocker G (1987) Stomach contents of badgers (Meles meles) in central Switzerland. Mammalia 51: 559–569.
  42. 42. Neal E (1988) The stomach contents of badgers, Meles meles. Journal of Zoology 215: 367–369.
  43. 43. Rosalino LM, Torres J, Santos-Reis M (2006) A survey of helminth infection in Eurasian badgers (Meles meles) in relation to their foraging behaviour in a Mediterranean environment in southwest Portugal. European Journal of Wildlife Research 52: 202–206.
  44. 44. Cleary GP, Corner LAL, O'Keeffe J, Marples NM (2011) Diet of the European badger (Meles meles) in the Republic of Ireland: A comparison of results from an analysis of stomach contents and rectal faeces. Mammalian Biology 76: 470–475.
  45. 45. Meckstroth AM, Miles AK, Chandra S (2007) Diets of introduced predators using stable isotopes and stomach contents. Journal of Wildlife Management 71: 2387–2392.
  46. 46. Boecklen WJ, Yarnes CT, Cook BA, James AC (2011) On the Use of Stable Isotopes in Trophic Ecology. Annual Review of Ecology, Evolution, and Systematics 42: 411–440.
  47. 47. Post DM, Layman CA, Arrington DA, Takimoto G, Quattrochi J, et al. (2007) Getting to the fat of the matter: models, methods and assumptions for dealing with lipids in stable isotope analyses. Oecologia 152: 179–189.
  48. 48. Deniro MJ, Epstein S (1977) Mechanism of carbon isotope fractionation associated with lipid-synthesis. Science 197: 261–263.
  49. 49. Logan JM, Jardine TD, Miller TJ, Bunn SE, Cunjak RA, et al. (2008) Lipid corrections in carbon and nitrogen stable isotope analyses: comparison of chemical extraction and modelling methods. Journal of Animal Ecology 77: 838–846.
  50. 50. Kruuk H, Parish T, Brown CAJ, Carrera J (1979) Use of pasture by the European badger (Meles meles). Journal of Applied Ecology 16: 453–459.
  51. 51. Muldowney J, Curry JP, O'Keeffe J, Schmidt O (2003) Relationships between earthworm populations, grassland management and badger densities in County Kilkenny, Ireland. Pedobiologia 47: 913–919.
  52. 52. Vacha J, Znojil V (1981) The allometric dependence of the life-span of erythrocytes on body weight in mammals. Comparative Biochemistry and Physiology A - Physiology 69: 357–362.
  53. 53. Kruuk H, Parish T (1983) Seasonal and local differences in the weight of European badgers (Meles meles) in relation to food supply. Zeitschrift Fur Saugetierkunde-International Journal of Mammalian Biology 48: 45–50.
  54. 54. Flindt R (2006) Amazing Numbers in Biology. Berlin, Germany: Springer. 295 p.
  55. 55. Rosalino LM, Loureiro F, MacDonald DW, Santos-Reis M (2005) Dietary shifts of the badger (Meles meles) in Mediterranean woodlands: an opportunistic forager with seasonal specialisms. Mammalian Biology 70: 12–23.
  56. 56. Szpak P, Orchard TJ, McKechnie I, Grocke DR (2012) Historical ecology of late Holocene sea otters (Enhydra lutris) from northern British Columbia: isotopic and zooarchaeological perspectives. Journal of Archaeological Science 39: 1553–1571.
  57. 57. Lake JL, Ryba SA, Serbst J, Brown CF, Gibson L (2007) Mercury and stable isotopes of carbon and nitrogen in mink. Environmental Toxicology and Chemistry 26: 2611–2619.
  58. 58. Newsome SD, Bentall GB, Tinker MT, Oftedal OT, Ralls K, et al. (2010) Variation in delta C-13 and delta N-15 diet-vibrissae trophic discrimination factors in a wild population of California sea otters. Ecological Applications 20: 1744–1752.
  59. 59. Ben-David M (1996) Seasonal diets of mink and martens: effects of spatial and temporal changes in resource abundance. Ph.D. thesis, Department of Biology and Wildlife, University of Alaska, Fairbanks, USA.
  60. 60. MacDonald DW, Reynolds JC (2005) Chapter 5.3 - Red Fox (Vulpes vulpes). In: Sillero-Zubiri C, Hoffman M, MacDonald DW, editors. Canids: Foxes, Wolves, Jackals and Dogs - 2004 Status Survey and Conservation Action Plan. Cambridge, UK: IUCN/SSC Canid Specialist Group. pp. 129–136.
  61. 61. Burton RK, Koch PL (1999) Isotopic tracking of foraging and long-distance migration in northeastern Pacific pinnipeds. Oecologia 119: 578–585.
  62. 62. Ruiz-Cooley RI, Gendron D, Aguiniga S, Mesnick S, Carriquiry JD (2004) Trophic relationships between sperm whales and jumbo squid using stable isotopes of C and N. Marine Ecology-Progress Series 277: 275–283.
  63. 63. Bodey TW, Bearhop S, Roy SS, Newton J, McDonald RA (2010) Behavioural responses of invasive American mink Neovison vison to an eradication campaign, revealed by stable isotope analysis. Journal of Applied Ecology 47: 114–120.