Stable Isotope Analysis of Dietary Overlap between
the Endangered Red Wolf and Sympatric Coyote in
Northeastern North Carolina
Brian S. Arbogast, Anne-Marie C. Hodge, and Joan Brenner-Coltrain
Southeastern Naturalist, Volume 16, Issue 2 (2017): 283–296
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22001177 SOUTHEASTERN NATURALIST 1V6o(2l.) :1268,3 N–2o9. 62
Stable Isotope Analysis of Dietary Overlap between
the Endangered Red Wolf and Sympatric Coyote in
Northeastern North Carolina
Brian S. Arbogast1,*, Anne-Marie C. Hodge1,2, and Joan Brenner-Coltrain3
Abstract - The only remaining wild Canis rufus (Red Wolf) are part of an experimental
population inhabiting the Albemarle peninsula of northeastern North Carolina. This population
was established in the late 1980s as part of the US Fish and Wildlife Service’s Red Wolf
Recovery Program. Recently, controversy has arisen over whether to maintain, expand, or
end the recovery program. This controversy is complex, but one source of concern about
the program is the perception among some local stakeholders that, compared to the smaller,
sympatric C. latrans (Coyote), Red Wolves put greater pressure on game species, such as
Odocoileus viginianus (White-tailed Deer). However, previous research comparing fecal
remains indicated a broad dietary overlap between sympatric populations of the 2 species. In
this study, we investigated the question of dietary overlap between Red Wolves and Coyotes
using stable isotope analysis. Our results are consistent with those based on fecal analyses
in showing that sympatric populations of Red Wolves and Coyotes have similar diets. This
finding has important conservation and management implications for Red Wolves because
it suggests that: (1) this species does not prey upon game species, such as White-tailed
Deer, to any greater degree than sympatric Coyotes; and (2) whereas the loss of the only
wild population of Red Wolves would result in a reduction of phylogenetic diversity in
northeastern North Carolina, it may not result in a loss of functional diversity if Coyotes or
Coyote–Red Wolf hybrids are able to play a similar ecological role to that of Red Wolves.
Introduction
Canis rufus Audubon & Bachman (Red Wolf; see Paradiso and Nowak 1972) is
one of the most critically endangered canids in the world, with an estimated wild
population of ~45–60 individuals as of January 2017, down from an estimated 100
individuals in 2014 (US Fish and Wildlife [USFWS] Red Wolf Recovery Program
2014, 2017). Once widespread across the eastern and south-central US, the species
was nearly exterminated during the 20th century, which prompted the USFWS
to develop a captive-breeding program in the 1970s with a goal of eventually reestablishing
Red Wolf populations in the wild (see Chambers et al 2012 for a review
of the history of the Red Wolf Recovery Program). The first reintroduction of Red
Wolves into northeastern North Carolina occurred in 1987. It consisted of 4 male–
female pairs released into the Alligator River National Wildlife Refuge (ARNWR).
1Department of Biology and Marine Biology, University of North Carolina-Wilmington,
Wilmington, NC 28403. 2Current address - Department of Zoology and Physiology,
University of Wyoming, 1000 East University Avenue, Laramie, WY. 82070. 3Anthropology
Department, University of Utah, Salt Lake City, UT. 84112. *Corresponding author
- arbogastb@uncw.edu.
Manuscript Editor: Michael V. Cove
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Active reintrodutions and management of what was deemed an “experimental Red
Wolf population” continued into 2014, and today, all known wild individuals of this
species occur within a 5-county area that encompasses ~690,000 ha of the Albemarle
Peninsula of northeastern North Carolina (hereafter, referred to as the Red Wolf
Experimental Population Area). Although the taxonomic status of the Red Wolf has
been controversial (Brzeski et al. 2014, Chambers et al 2012, Rutledge et al. 2010,
von Holdt et al. 2011), the USFWS recognizes the Red Wolf as a distinct species
(USFWS Red Wolf Recovery Program 2017).
Under contract by the USFWS, the Wildlife Management Institute, Inc. (WMI;
2014), produced a review of the Red Wolf Recovery Program in late 2014. In June
of the following year, USFWS (2015) announced it was suspending reintroductions
of the Red Wolf into the wild while it gathered information and evaluated research
into the feasibility of recovery for the species under the Endangered Species Act.
Several concerns were cited as reasons for taking this action, including hybridization
of the Red Wolf with C. latrans Say (Coyote; see Beckoff 1977). Historically,
the geographic ranges of Red Wolves and Coyotes did not overlap in North Carolina,
but over the last several decades the Coyote has expanded its range rapidly
eastward and into the Red Wolf Experimental Population Area. This new sympatry
between the 2 species in eastern North Carolina has led to documented hybridization
between Red Wolves and Coyotes in the area (USFWS Red Wolf Recovery
Program 2017), a clear threat to the persistence of the former in the wild.
In an effort to curtail such hybridization, the Red Wolf Recovery Program had
previously instituted a “place-holder” management approach, which consisted of
capturing, sterilizing, and re-releasing Coyotes to serve as place-holders that would
reduce the influx of new, fertile Coyotes into the area. In their review, WMI (2014)
endorsed the validity of this approach but suggested that the effectiveness of the
strategy had not been rigorously evaluated. The review identified issues regarding
the practicality, expense, and unclear time-frame of the place-holder strategy as an
effective long-term approach for maintaining a wild population of Red Wolves in
northeastern North Carolina. WMI (2014) staff also administered an online survey
to measure public perceptions about the reintroduction of the Red Wolf into northeastern
North Carolina. Among the highest-ranking concerns of respondents that
lived within the recovery zone was a decrease in the deer population. WMI (2014)
also noted that “at the public meetings, we heard numerous statements of concern
about the impact of Red Wolves and Coyotes on the deer population in the restoration
area.” However, no rigorous scientific data are available to assess whether
there has been a decrease in Odocoileus virginianus Zimmermann (White-tailed
Deer; see Smith 1992) populations in the Red Wolf Experimental Population Area
since reintroductions of Red Wolves began in 1987. What is clear is that the cooccurrence
of Red Wolves and Coyotes in this area is a relatively recent phenomenon,
and that it is worth studying how these 2 species of canids might be affecting
populations of game species, such as White-tailed Deer.
To date, the only detailed dietary analysis of sympatric Red Wolves and Coyotes
in the Red Wolf Experimental Population Area is that of McVey et al. (2013). Those
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authors used fecal DNA analysis to identify whether Red Wolves or Coyotes deposited
a given scat sample, and then identified prey species by comparing hair, bone,
tooth, claw, and hoof fragments found in a scat to those in reference collections and
identification manuals. McVey et al. (2013) concluded that there was no significant
difference between the diets of sympatric Red Wolves and Coyotes. White-tailed
Deer, rabbits, and small rodents were the most common prey items consumed by
both species, and although not statistically significant, McVey et al. (2013) found
White-tailed Deer remains in a slightly higher proportion of scats from Coyotes
than in scats from Red Wolves. Overall, the authors concluded that the 2 species appeared
to be affecting prey populations similarly within the Red Wolf Experimental
Population Area.
To better understand the ecology of sympatric Red Wolves and Coyotes and to
independently evaluate McVey et al.’s (2013) findings based on scat analysis, we
used a different method—stable-isotope mass spectrometry—to compare the diets
of Red Wolves and Coyotes. This method can identify differences in the stableisotope
chemistry of analyzed taxa, which in turn reflects the degree to which their
diets differ in composition (Post et al. 2002). Stable-isotope ecology is a rapidly
growing field that has opened many doors to increasing understanding of trophic
structure, migration patterns, nutrient flow, dietary shifts, and even climate change
within an ecosystem (Bershaw et al. 2010, Crawford et al. 2008, Fry 2006, Kelly
2000). Furthermore, stable-isotope analysis has been shown to be an extremely efficient
method in terms of sampling. For example, Fox-Dobbs et al. (2007) showed
that for Canis lupus L. (Gray Wolf), stable-isotope analysis of just 4–6 individuals
provided mean stable-isotope values that were very close to that of the mean of the
entire population. In this respect, if the goal is to compare overall dietary similarity
and relative trophic level among species, stable isotope analysis can provide useful
results with much lesss sampling effort than many other methods of dietary analysis.
The most commonly used isotopic signatures used in ecological studies come
from nitrogen (N) and carbon (C). Isotopic analysis of nitrogen enrichment provides
insights into an organism’s trophic level, because enriched δ15N values (15N /14N)
correlate positively with the proportion of tissues consumed from animals occupying
higher trophic levels (e.g., primary and secondary consumers; Robbins et al.
2005). Trophic-level enrichment is typically 3–5‰ relative to prey taxa (Peterson
and Fry 1987). Therefore, comparing the isotopic signatures of sympatric predator
species can aid in elucidating the structure of trophic hierarchies (McCutchan et al.
2003, Roemer et al. 2002). In addition to determining relative trophic rank, stable
isotope analysis makes it possible to determine whether specific prey are selected
or utilized by a given species to a higher degree than other consumers in the same
community, although this is predicated upon obtaining nitrogen-enrichment values
for as many prey species as possible (Bluthgen et al. 2003, Hilderbrand et al. 1996,
Post 2002, Stewart et al. 2003).
In contrast to δ15N isotope values, δ13C carbon isotope values (13C/12C) are
enriched ~1% as consumers increase in ranking within a trophic hierarchy. More
importantly, the latter can be used to distinguish between tree- and shrub-based
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(C3) and grass-based (C4) terrestrial food webs and to evaluate consumer reliance
on marine versus terrestrial resources (Michener and Lajtha 2007). Thus,
differences in this metric are often indicative of differences in foraging grounds
and other geographic movement patterns (Hobson 1999). Comparisons of carbon
enrichment between species reveal differences in the composition of plants forming
the foundation of a given food web (Kelly 2000), taking advantage of different
photosynthetic pathways between C3 and C4 plants (Ben-David and Flaherty 2012,
Cerling et al. 1999). For example, this technique has been used to identify differences
in the composition of herbivore species in predators’ diets in systems where
grazers are primarily reliant on C4 savannah grasses and browsers forage on C3
forbs and shrubs (Codron et al. 2007).
A variety of animal tissues—bone, blood, hair, claws/nails, or muscle—may be
used to obtain isotopic signatures that reflect dietary composition. Consumed proteins
fuel the synthesis of amino acids, and thus, connective tissues such as collagen
are an excellent source for quantifying isotopic signatures. Despite the relatively
short-term record of diet in dentine (tooth collagen), dentine isotope signals can be
compared to those of scats, fur, or blood, which record even shorter-term dietary
data (e.g., McVey et al. 2013). However, unlike bone collagen, tooth dentine does
not turn over after formation (Hillson 1996); thus, dentine records dietary intake
over the juvenile period during which it forms. Canids often provision their pups
through regurgitation with prey caught by adults (Mech et al. 1999), pups’ diets after
weaning are likely to reflect prey being consumed by adults in their social group.
It has been shown that the permanent canines of Coyotes erupt at 4–5 months of age
(Linhart and Knowlton 1967), well after the pups have been weaned (which occurs
at 5–7 weeks of age; Bekoff 1977).
Given that the rate of pup development between wild Canis species in North
America is similar (Bekoff and Jameson 1975), it is appropriate to assume that Red
Wolf and Coyote individuals do not differ significantly in the ages at which they
reach similar stages of dental development. Thus, if samples are collected from
individuals in the same geographic area, stable isotope analysis of tooth dentine
in these species should produce values that are directly comparable. Comparison
at this stage of development is appropriate because the purpose of our study was
to compare the degree of dietary overlap between sympatric Red Wolf and Coyote
populations and not to determine the specific dietary composition of each. Future
studies that seek to use stable isotopes to detail dietary composition will require
analysis of both tooth and bone collagen from Red Wolves and Coyotes as well as
stable isotope analyses on a wide variety of potential prey species; those tasks were
beyond the scope of the present study.
In their recent study, McVey et al. (2013) found that, based on physical remains
in feces, sympatric Coyotes and Red Wolves do not appear to have significantly different
dietary compositions (at least over the time scale considered in their study).
However, this question has not yet been approached using stable isotope analysis.
In many ways, the stable isotope approach we employ is complementary to the fecal
analysis approach used by McVey et al. (2013). In the present study, we thus sought
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to answer 2 main questions relevant to the effects of Red Wolf reintroduction in
northeastern North Carolina: (1) Does the stable isotope approach indicate that
sympatric Coyotes and Red Wolves use similar, or significantly different, dietary
resources?; and (2) Are there significant differences in diet between males and females
across the 2 species?
Methods
Red Wolf Recovery Program provided tooth samples (1 adult canine tooth)
from 31 deceased individuals of Canis spp. (originally collected from the Red
Wolf Experimental Population Area) (Table 1). The sampled individuals included
15 Red Wolves (6 female, 9 male) and 16 Coyotes (8 female, 8 male). Based on
information in the Red Wolf Recovery Program pedigree database, all of the Red
Wolf individuals were known to be adults at their time of death (variation in ages
Table 1. US Fish and Wildlife identification numbers (USFW ID), species, sex, C:N ratios and 15N
and 13C values for specimens of C. latrans (Coyote) and C. rufus (Red Wolf) examined in this study.
USFW ID Species Sex δ15N ‰ δ13C‰
20712 C. latrans M 10.4 -20.1
20724 C. latrans M 11.0 -16.3
20741 C. latrans M 11.5 -18.2
20746 C. latrans M 13.6 -19.3
20777 C. latrans M 11.6 -19.4
20673 C. latrans M 11.4 -18.5
20723 C. latrans M 11.4 -15.5
20779 C. latrans M 9.1 -18.7
20713 C. latrans F 11.5 -20.0
20719 C. latrans F 15.1 -16.6
20730 C. latrans F 11.7 -15.3
20731 C. latrans F 9.9 -20.3
20744 C. latrans F 10.4 -21.1
20757 C. latrans F 10.6 -19.5
20608 C. latrans F 11.6 -16.9
20636 C. latrans F 9.2 -20.6
11629 C. rufus M 11.2 -19.9
SB875 C. rufus M 13.5 -16.4
SB159 C. rufus M 9.0 -13.9
SB677 C. rufus M 7.7 -14.8
SB373 C. rufus M 11.5 -16.5
SB501 C. rufus M 11.1 -17.8
635M C. rufus M 10.7 -17.4
10933M C. rufus M 11.9 -15.6
883M C. rufus M 11.4 -18.2
11846 C. rufus F 10.7 -17.8
10878F C. rufus F 9.1 -17.9
10985F C. rufus F 10.6 -16.2
SB315 C. rufus F 8.9 -14.2
10797F C. rufus F 9.2 -19.1
10774F C. rufus F 10.8 -19.0
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= 1.7–12 y, average age = 4.3 y). We assume that Coyote individuals represented
a similar demographic because in the study area, estimated survival rates for pups,
juveniles, and adults are similar between the 2 species, and Coyotes are estimated to
have only a slightly higher reproductive rate (Roth et al. 2008). These sample sizes
are ~3 times greater than those needed to reliably estimate mean levels of nitrogen
and carbon enrichment of the target Red Wolf and Coyote populations (i.e., 4–6
individuals), and high enough to do so for each sex of each species (Fox-Dobbs et
al. 2007). Dentine (a form of collagen) was acid- and base-extracted, gelatinized,
and filtered from each tooth by the Archaeological Center Research Facility within
the University of Utah’s Department of Anthropology, Salt Lake City, UT. Mass
spectrometry was performed on the resulting extractions at the University of Wyoming’s
Stable Isotope Core Facility. We used the mass spectrometry results to determine
the quality of preservation of the extracted samples (using atomic C:N ratio;
Ambrose 1990) and to compare isotopic ratios (carbon enrichment and nitrogen
enrichment) between species, as well as between females and males both across and
within the 2 species (Tables 1, 2, 3). We created a simple linear model to compare
the isotopic ratios to the mass of the canine teeth, which was used as an index of
body size. We performed these comparisons between groups with Student’s t-tests
in the stats package in Program R (R Core Team 2016). We considered relationships
to be statistically significant at alpha < 0.05. Parental provisioning of pups
could influence isotopic values obtained from dentine; thus, we used the Red Wolf
Recovery Program pedigree database to insure that the Red Wolves we examined
were neither siblings from the same litter nor siblings or half-siblings from different
litters. We did not have similar pedigree data for the Coyotes. However, given that
our Coyote samples came from a larger population pool than our Red Wolf samples,
we suspect that the former also contained few, if any, siblings from the same litter.
Results
Atomic C:N ratios of all of our samples were 3.2, a value typical for high quality,
modern bone collagen (Ambrose 1990). Results of the isotopic analysis are summarized
in Tables 2 and 3. There was no significant difference in nitrogen isotope
Table 3. Summary statistics for isotopic enrichment of male versus female Red Wolves and Coyotes.
Sex Average δ15N‰ SD δ15N‰ Average δ13C‰ SD δ13C‰
Male 11.06 1.46 -17.44 1.84
Female 10.66 1.59 -18.18 2.11
Table 2. Summary statistics for isotopic enrichment of sympatric C. rufus (Red Wolf) and C. latrans
(Coyote).
Species Average δ15N‰ SD δ15N‰ Average δ13C‰ SD δ13C‰
C. rufus 10.5 1.4 -17.0 1.8
C. latrans 11.2 1.5 -18.4 1.9
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chemistry (δ15N‰) between Red Wolves and Coyotes (t[29] = -1.43, P = 0.16; Fig.
1A) or between the males and females across both species (t[29] = -0.72, P = 0.48;
Fig. 1B). There was a significant difference in carbon enrichment (δ13C0/00) between
the two species (t[29) = 2.33, P = 0.03; Fig. 1C), although not between sexes across
species (t[29] = -1.04; P = 0.31; Fig. 1D). Mean Coyote canine mass and the stable
isotope values of males and females were not significantly different (t[14] = 0.97,
Figure 1. (A) Comparison
of nitrogen enrichment
between 2 sympatric
Canis species
(difference not significant,
t(29) = -1.43, P =
0.16);( B) Comparison
of nitrogen enrichment
between males and
females across both
species (difference
not significant; t(29)
= -0.72, P = 0.48); (C)
Comparison of carbon
enrichment between 2
sympatric Canis species
(significant difference;
t(29) = 2.33, P =
0.03); (D) Comparison
of carbon enrichment
between males and
females across both
species (difference
not significant; t(29)=
-1.04; P = 0.31).
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P = 0.35), indicating that Coyote sub-adults of both sexes were similar in size over
the period during which permanent canines formed and were, not surprisingly,
consuming a similar range of prey taxa (presumably both from direct foraging and
from being provisioned by adults) during that developmental stage. In contrast, the
canine mass of Red Wolf males versus females was significantly different (t[13] =
2.160, P = 0.022).
Red Wolves with larger canines exhibited enriched δ15N values (R2 = 0.4464, P
= 0.006; Fig. 2A). The same is not true of Coyotes, in which canine weight was less
varied and unrelated to δ15N (R2 = 0.004, P = 0.81; Fig. 2B). When we examined this
relationship in male Red Wolves only, the R2 value increased with a corresponding
increase in P-value, presumably due to a reduction in sample size (R2 = 0.5331, P =
0.03; Fig. 2C). There was no relationship between canine weight and δ13C values in
either taxon (Red Wolves: R2 = > 0.001, P = 0.94; Coyotes: R2 = 0.10; P = 0.22).
Finally, 2 Red Wolves (SB159, SB677) with the most depleted δ15N values (9‰
and 7.7‰, respectively) also exhibited the most enriched δ13C values (-13.9‰,
-14.8‰, respectively). They also exhibited the lowest male canine weights
suggesting they may be the smallest male sub-adults in the study and had diets proportionally
more dependent on low trophic-level resources such as rodents, rabbits,
or possibly agricultural crops. Approximate trophic position is visualized by plotting
δ13C against δ15N (Fig. 3).
Discussion
By investigating potential dietary overlap between 2 sympatric Canis species
using stable isotope analysis—an approach that had not previously been
applied to this system—our study is complementary to previous analyses of scat
samples from sympatric Red Wolves and Coyotes from the same geographic area
(McVey et al. 2013). The sample sizes we used were ~3 times greater than those
needed to reliably estimate mean levels of 15N and 13C enrichment in sympatric
populations of Red Wolves and Coyotes in northeastern North Carolina, and large
enough to obtain reliable population-level estimates for each sex of each species
(Fox-Dobbs et al. 2007). This information is important for future biodiversity
conservation efforts in this region and others because the USFWS (2016) plans to
determine whether additional sites are appropriate for establishment of wild Red
Wolf populations. The USFWS will base its decision on environmental assessments
and collaboration with the public and other stakeholders. Therefore, there
is a critical need to gather and disseminate information about the ecology of Red
Wolves and sympatric Coyotes.
Our data show that Red Wolves and Coyotes do not have significantly different
nitrogen enrichment levels, suggesting that they exist at comparable levels of
Figure 2 (following page). (A) Relationship between Red Wolf canine-tooth weight and enriched
δ15N values (R2 = 0.4464, P = 0.006); (B) Relationship between Coyote canine-tooth
weight and enriched δ13C values (R2 = 0.004; P = 0.81); (C) Relationship between male Red
Wolf canine-tooth weight and enriched δ15N values (R2 = 0.5331, P = 0.03).
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Figure 2. [Caption on previous page].
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the trophic hierarchy in this ecosystem and appear to have similar diets. However,
given a significant positive relationship between canine mass and δ15N in male
Red Wolves, it is reasonable to hypothesize that as male Red Wolves mature in
body size, they may be accessing higher trophic-level resources than those being
accessed by Coyotes at maturity. In the future, stable isotope analyses could be
used to elucidate the composition of Canis diets in more detail. However, such
analyses will require a comparison of Canis isotopic signatures to signatures from
potential prey items. At present, 2 independent lines of evidence—presented here
and by McVey et al. (2013)—strongly suggest that the 2 species rely on the same
basic prey base where they co-occur in the Red Wolf Recovery Area in northeastern
North Carolina. Consequently, the 2 species appear to have very similar diets and
trophic positions in this ecosystem, and stakeholders should carefully consider this
information when debating the ecological implications of Red Wolf reintroductions
and the potential loss of this species from the present ecosystem.
Plotting δ13C against δ15N ratio (Fig. 3) can be used to assess an organism’s
position in the Hutchinsonian “n-dimensional niche space” (Hutchinson 1957),
following Hutchinson’s (1979) definitions of “bionomic” (resources consumed)
and “scenopoetic” (the bioclimatic character of the environment, with a strong tie
to spatial activity patterns) niche dimensions. Under this model, δ15N serves as a
bionomic axis and δ13C serves as a scenopoetic axis. Figure 3 indicates significant
overlap in the ecological niche of Red Wolves and Coyotes. A subset of Red Wolf
samples, however, show enriched δ13C and depleted δ15N, in contrast to the scatter
of other data points, while a subset of Coyotes showed relatively high δ15N and
lower δ13C. Although these groupings may suggest some clustering of data points in
Figure 3. Stable isotope signatures of sympatric Canis species. Average δ13C:δ15N ratio between
species is similar (t[21] = 1.92, P = 0.07).
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each species (Fig. 3), the relatively wide variation in values we observed also could
reflect inter-annual variation in climatic extremes because individuals reaching the
same age may have experienced different seasonal conditions over the course of
their lifetimes. Such seasonal differences in diet were observed by McVey et al.
(2013) in their study of sympatric populations of Red Wolves and Coyotes.
The difference in average carbon enrichment between the 2 species, although
statistically significant, was relatively small (Table 2) and could be attributed to a
number of factors, including the use of agricultural fields or the margins of human
settlements as hunting or denning sites. If that is the case, these animals are likely
subsisting on an omnivorous diet due to subsidization of crops and refuse from
human activity (see Newsome et al. 2010). The Red Wolf Recovery Program is
located near to both the North Carolina coast and inland agricultural areas, so this
difference could indicate that the species are partitioning their foraging movements
and home ranges within the region differently (for example, the species could be
using coastal areas containing sea grasses to different degrees; see Peterson et al.
1980), or it could indicate that 1 of the species, possibly the larger-bodied Red Wolf
(Nowak 1992, Thurber and Peterson 1991), occupies a wider variety of the available
habitat types.
Neither Red Wolves nor Coyotes showed significant intraspecific differences in
diet between male and female individuals. This result is not unexpected for closely
related species that tend to hunt in pairs and/or groups, and suggests that the sex
ratios of reintroduced Red Wolf populations should not affect the level of predation
pressure placed on the local prey base. Dentine formation is finalized before these
2 species begin to hunt for themselves; thus, an additional explanation for the lack
of difference between sexes could be that adults provision pups similarly regardless
of sex. Future studies comparing individuals of different age classes, through the
comparison of bone collagen to tooth collagen (e.g., Bocherens et al. 1994), may
identify ontogenetic shifts in diet selection and potentially reveal differences in diet
between sexes during different periods of an individual’s life.
Overall, our results correspond with those of McVey et al. (2013) in suggesting
that sympatric Red Wolves and Coyotes have similar diets and are likely
affecting prey populations similarly in the Red Wolf Experimental Recovery
Area. This conclusion has important implications for conservation and management
of Red Wolves in eastern North Carolina. Cessation of recovery efforts
(i.e., allowing hybridization with Coyotes to occur freely), would very likely
lead to the extinction of the only wild population of Red Wolves. Given that Red
Wolves and Coyotes appear to have similar diets in eastern North Carolina, the
loss of wild populations of the former may not lead to a decrease in functional
diversity in the region. However, Red Wolf extirpation would lead to a decrease
in taxonomic and phylogenetic diversity, and potentially to the loss of an important
genetic component of biodiversity.
Acknowledgments
We thank David Rabon (formerly of the USFWS Red Wolf Recovery Program), Rebecca
Harrison (USFWS), and W. David Webster (UNC Wilmington) for their help in providing
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access to specimens and associated pedigree data. We are grateful to Steve Emslie (UNC
Wilmington) for his expertise and assistance with interpreting our stable isotope results.
Literature Cited
Ambrose, S.H. 1990. Preparation and characterization of bone and tooth collagen for isotopic
analysis. Journal of Archaeological Science 17:431–451.
Bekoff, M. 1977. Canis latrans. Mammalian Species 79:1–9.
Bekoff, M., and R. Jamieson. 1975. Physical development in Coyotes (Canis latrans), with
a comparison to other canids. Journal of Mammalogy 56:68–692.
Ben-David, M., and E.A. Flaherty. 2012. Stable isotopes in mammalian research: A beginner’s
guide. Journal of Mammalogy 93:312–328.
Bershaw, J., C.N. Garzione, P. Higgins, B.J. MacFadden, F. Anaya, and H. Alvarenga. 2010.
Spatial–temporal changes in Andean plateau climate and elevation from stable isotopes
of mammal teeth. Earth and Planetary Science Letters 289:530–538.
Bluthgen, N., G. Gebaur, and Konrad Fiedler. 2003. Disentangling a rainforest food web
using stable isotopes: Dietary diversity in a species-rich ant community. Oecologia
137:426–435.
Bocherens, H., M. Fizet, and A. Mariotti. 1994. Diet, physiology, and ecology of fossil
mammals as inferred from stable carbon and nitrogen isotope biogeochemistry: Implications
for Pleistocene bears. Palaeogeography, Palaeoclimatology, Palaeoecology
107:213–225.
Brzeski, K.E., D.R. Rabon Jr., M.J. Chamberlain, L.P. Waits, and S.S. Taylor. 2014. Inbreeding
and inbreeding depression in endangered Red Wolves (Canis rufus). Molecular
Ecology 23:4241–4255.
Cerling, T.E., J.M. Harris, and M.C. Leakey. 1999. Browsing and grazing in elephants: The
isotope record of modern and fossil proboscideans. Oecologia 120:364–374.
Chambers, S.M., S.R. Fain, B. Fazio, and M. Amaral. 2012. An account of the taxonomy
of North American wolves from morphological and genetic analyses. North American
Fauna 77:1–67.
Codron, D., J. Codron, J.A. Lee-Thorp, M. Sponheimer, D. de Ruieter, and J.S. Brink. 2007.
Stable isotope characterization of mammalian predator–prey relationships in a South
African savanna. European Journal of Wildlife Research 53:161–170.
Crawford, K., R.A. McDonald, and S. Bearhop. 2008. Applications of stable isotope techniques
to the ecology of mammals. Mammal Review 38:87–107.
Fox-Dobbs, K., J.K. Bump, R.O. Peterson, D.L. Fox, and P.L. Koch. 2007. Carnivorespecific
stable isotope variables and variation in foraging ecology of modern and ancient
wolf populations: Case studies from Isle Royale, Minnesota, and La Brea. Canadian
Journal of Zoology 85:458–471.
Fry, B. 2006. Stable Isotope Ecology. Springer Science, New York, NY. 308 pp.
Hilderbrand, G.V., S.D. Farley, C.T. Robbins, T.A. Hanley, K. Titus, and C. Servheen. 1996.
Use of stable isotopes to determine diets of living and extinct bears. Canadian Journal
of Zoology 74:2080–2088.
Hillson, S. 1996. Dental Anthropology. Cambridge University Press, Cambridge, UK.
373 pp.
Hobson, K.A. 1999. Tracing origins and migration of wildlife using stable isotopes: A review.
Oecologia 120:314–326.
Hutchinson. G.E. 1957. The multivariate niche. Cold Spring Harbor Symposium on Quantitative
Biology 22:415–421.
Southeastern Naturalist
295
B.S. Arbogast, A.M.C. Hodge, and J. Brenner-Coltrain
2017 Vol. 16, No. 2
Hutchinson, J.E. 1979. Fractals and self similarity. Research Report No. 31-1979, Department
of Pure Mathematics, Faculty of Science, Australian National University, Canberra,
Australia.
Kelly, J.F. 2000. Stable isotopes of carbon and nitrogen in the study of avian and mammalian
trophic ecology. Canadian Journal of Zoology 78:1–27.
Linhart, S.B., and F.F. Knowlton. 1967. Determining age of Coyotes by tooth cementum
layers. The Journal of Wildlife Management 31:362–365.
McCutchan, J.H., W.M Lewis, C. Kendall and C.C. McGrath. 2003. Variation in trophic
shift for stable isotope ratios of carbon, nitrogen, and sulfur. Oikos 102:378–390.
McVey, J.M., D.T. Cobb, R.A. Powell, M.K. Stoskopf, J.H. Bohling, L.P. Waits, and C.E.
Moorman. 2013. Diets of sympatric Red Wolves and Coyotes in northeastern North
Carolina. Journal of Mammalogy 94:1141–1148.
Mech, D.L., P.C. Wolf, and J.M. Packard. 1999. Regurgitative food transfer among wild
wolves. Canadian Journal of Zoology 77:1192–1195.
Michener, R., and K. Lajtha (Eds.). 2007. Stable Isotopes in Ecology and Environmental
Science. Blackwell Publishing, Malden, MA. 594 pp.
Newsome, S.D., K. Ralls, C. Van Horn Job, M.L. Fogel, and B.L. Cypher. 2010. Stable
isotopes evaluate exploitation of anthropogenic foods by the endangered San Joaquin
Kit Fox (Vulpes macrotis mutica). Journal of Mammalogy 91:1313–1321.
Nowak, R.M. 1992. The Red Wolf is not a hybrid. Conservation Biology 6:593–595.
Paradiso, J.L. and R.M. Nowak. 1972. Canis rufus. Mammalian Species 22:1–4.
Peterson, B.J., and B. Fry. 1987. Stable isotopes in ecosystem studies. Annual Review of
Ecology and Systematics 18:293–320.
Peterson, B.J., R.W. Holworth, F. Lipschultz, and D. Aschendorf. 1980. Salt marsh detritus:
An alternative interpretation of stable carbon isotope ratios and the fate of Spartina
alterniflora. Oikos 34:173–177.
Post, D.M. 2002. Using stable isotopes to estimate trophic position: Models, methods, and
assumptions. Ecology 83:703–718.
R Core Team. 2016. R: A language and environment for statistical computing. R Foundation
for Statistical Computing, Vienna, Austria. Available online at http://www.R-project.
org/. Accessed 3 March 2016.
Robbins, C.T., L.A. Felicetti, and M. Sponheimer. 2005. The effect of dietary-protein quality
on nitrogen isotope discrimination in mammals and birds. Oecologia 144:534–540.
Roemer, G.W., C.J. Donlan, and F. Courchamp. 2002. Golden Eagles, Feral Pigs, and insular
carnivores: How exotic species turn native predators into prey. Proceedings of the
National Academy of Sciences 99:791–796.
Roth, J.D., D.L. Murray, and T.D. Steury. 2008. Spatial dynamics of sympatric canids: Modeling
the impact of Coyotes on Red Wolf recovery. Ecological Modelling 214:391–403.
Rutledge, L.Y., C J. Garroway, K.M. Loveless, and B.R. Patterson. 2010. Genetic differentiation
of Eastern Wolves in Algonquin Park despite bridging gene flow between
Coyotes and Grey Wolves. Heredity 105:520–531.
Smith, W.P. 1992. Odocoileus virginianus. Mammalian Species 388:1–13.
Stewart, K.M., R.T. Bowyer, J.G. Kie, B.L. Dick, and M. Ben-David. 2003. Niche partitioning
among Mule Deer, Elk, and Cattle: Do stable isotopes reflect dietary niche?
Ecoscience 10:297–302.
Thurber, J.M., and R.O. Peterson. 1991. Changes in body size associated with range expansion
of the Coyote (Canis latrans). Journal of Mammalogy 72:750–755.
US Fish and Wildlife Service (USFWS) Red Wolf Recovery Program. 2014. 2nd-quarter
report, January–March 2014. Available online at https://www.fws.gov/redwolf/Reviewdocuments/
20140522_RedWolf_QtrReport_FY14-02.pdf. Accessed 31 January 2017.
Southeastern Naturalist
B.S. Arbogast, A.M.C. Hodge, and J. Brenner-Coltrain
2017 Vol. 16, No. 2
296
USFWS 2015. Service halts Red Wolf reintroductions pending examination of recovery
program. Available online at https://www.fws.gov/news/ShowNews.cfm?ref=servicehalts-
red-wolf-reintroductions-pending-examination-of-recovery-prog&_ID=35109.
Accessed 31 January 2017.
USFWS Red Wolf Recovery Program. 2016. Science leads Fish and Wildlife Service to significant
changes for red wolf recovery. 12 September 2016. Available online at: https://
www.fws.gov/news/ShowNews.cfm?ref=science-leads-fish-and-wildlife-service-tosignificant-
changes-for-red-&_ID=35794. Accessed 2 February 2017.
USFWS Red Wolf Recovery Program. 2017. Red Wolf recovery. Available online at https://
www.fws.gov/redwolf/. Accessed 31 January 2017.
Von Holdt, B., J.P. Pollinger, D.A. Earl, J.C. Knowles, A.R. Boyko, H. Parker, E. Geffen,
M. Pilot, W. Jedrzejewski, B. Jedrzejewska, V. Sidorovich, C. Greco, E. Randi, M.
Musiani, R. Kays, C.D. Bustamante, E.A. Ostrander, J. Novembre, R.K. Wayne. 2011.
A genome-wide perspective on the evolutionary history of enigmatic wolf-like canids.
Genome Research 21:1294–1305.
Wildlife Management Institute, Inc. 2014. Comprehensive review of and evaluation of
the Red Wolf (Canis rufus) recovery program. Available online at http://www.fws.gov/
redwolf/reviewdocuments/WMI-Red-Wolf-Review-FINAL-11142014.pdf. Accessed 28
December 2015.