Biodiversity Data Journal :
Research Article
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Corresponding author: Yadvendradev Jhala (jhalay@wii.gov.in)
Academic editor: Ricardo Moratelli
Received: 20 Apr 2021 | Accepted: 07 Jul 2021 | Published: 27 Aug 2021
© 2021 Yellapu Srinivas, Yadvendradev Jhala
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Srinivas Y, Jhala Y (2021) Morphometric variation in wolves and golden jackal in India (Mammalia, Carnivora). Biodiversity Data Journal 9: e67677. https://doi.org/10.3897/BDJ.9.e67677
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Species of Canis (Carnivora, Canidae) have similar morphology and distinguishing sympatric species is challenging. We present data on morphometry of skull, body and hair of three wild Canis species that occur in India, which include two wolves (Indian wolf, Canis lupus pallipes; and Himalayan wolf, Canis himalayensis) and the golden jackal (Canis aureus). A total of 20 cranial and six body measurements and microscopic characteristics of guard hair were analysed, using multivariate ordination to differentiate between species. Cranial measures of the Himalayan wolves were found to be the largest followed by Indian wolves and golden jackals. However, many measures overlapped amongst the three species. Two Principal Components each, for body measures and cranial measures, explained 86 and 91% of the variation in the data, respectively. These Components discriminated the two wolves from golden jackals, but could not distinguish between wolves. Hair medullary patterns were simple and wide type, whereas hair cuticular patterns showed crenate scale margins, near scale distance and irregular wavey scale patterns for all Canis taxa and were not useful to distinguish species. Data reported in this study further contribute to the existing global data on wild canids for a holistic understanding of the variation within the genus and show that distinguishing between all sympatric species from morphology alone may not be possible.
canids, cranium, hair, forensics, Principal Component Analysis, taxonomy
Three wild Canis species occur in India: the Indian wolf (Canis lupus pallipes), the Himalayan wolf (Canis himalayensis) and the golden jackal (Canis aureus; Fig.
Distribution range of wild Canis species in India along with sampling locations. The golden jackal distribution was obtained from the IUCN species database (http://maps.iucnredlist.org/map.html?id=3744, accessed 16 June 2021), while the Indian and Himalayan wolf range is depicted from locations and maps available in
Wolves in India (Indian and Himalayan) are considered ancient and distinct from the wolf-dog clade (
Identifying individual animals and populations to the species level is important for conservation management and policy formulation (
We measured samples from the historical collection of the Bombay Natural History Society (BNHS), from the Wildlife Institute of India (WII), from individuals captured for radio-telemetry study, from road kills and those provided to us by wildlife authorities for forensic investigations. Only adult samples without differentiating between males and females of each species were used. Samples that were of uncertain origin or ambiguous (hybrids) in nature were not included in this study. All measurements were recorded by the authors. All live animals were captured after obtaining permissions under the Wildlife (Protection) Act, 1972 from the Chief Wildlife Warden.
Skulls of Indian wolves (n = 12), Himalayan wolves (n = 4), and Golden Jackals (n = 33) were sampled from the mammal collections of BNHS and WII. Adults were identified, based on the zygomatic breadth and fused spheno-occipital sutures (
Cranial (mm) and body (cm) measurements of adult golden jackals (n = 33 skull, 52 body), Indian wolves (n = 12 skull, 11 body) and Himalayan wolves (n = 4 skull, 4 body) from India.
S no. | Cranial Characters | Golden jackal (n = 33) | Indian wolf (n = 12) | Himalayan wolf (n=4) | |||||||||
Minimum | Maximum | Mean | Standard error | Minimum | Maximum | Mean | Standard error | Minimum | Maximum | Mean | Standard error | ||
1 | Skull: Length | 109.1 | 155.7 | 143.68 | 1.66 | 188 | 221 | 202.64 | 2.51 | 198.27 | 234 | 214.84 | 8.27 |
2 | Palantine Length | 55.54 | 79.86 | 73.79 | 0.85 | 99.12 | 111.1 | 105.72 | 1.28 | 106.78 | 120.43 | 113.51 | 2.9 |
3 | Width between P4s | 30.73 | 59.72 | 49.77 | 0.78 | 57.23 | 73.25 | 64.14 | 1.58 | 69.71 | 79.25 | 73.68 | 2.23 |
4 | Width between upper canines | 17.54 | 29.4 | 26.27 | 0.41 | 35.11 | 42.75 | 39.05 | 0.7 | 39.42 | 46.7 | 42.09 | 1.58 |
5 | P4 length | 10.83 | 17.77 | 16.27 | 0.22 | 18.5 | 22.8 | 21.16 | 0.35 | 22.71 | 24.85 | 23.93 | 0.45 |
6 | M1 length | 8.04 | 12.52 | 11.4 | 0.16 | 13.11 | 15.69 | 14.26 | 0.26 | 14.94 | 16.01 | 15.46 | 0.22 |
7 | M2 length | 5.12 | 7.29 | 6.39 | 0.07 | 6.61 | 8.84 | 7.91 | 0.17 | 7.01 | 8.45 | 7.78 | 0.3 |
8 | Canine length | 4.58 | 8.11 | 7.17 | 0.15 | 10.09 | 12.07 | 11.31 | 0.19 | 14.11 | 14.37 | 14.21 | 0.06 |
9 | Canine width | 2.94 | 5.06 | 4.44 | 0.08 | 5.83 | 7.25 | 6.66 | 0.14 | 8.04 | 9 | 8.46 | 0.21 |
10 | Width between zygomatic processes | 60.04 | 87.21 | 80.97 | 1.07 | 100.29 | 127.85 | 114.6 | 2.54 | 119.66 | 135.63 | 128.23 | 4.16 |
11 | Maximum braincase width | 41.76 | 53.22 | 50.39 | 0.36 | 60.08 | 68.05 | 63.77 | 0.7 | 60.08 | 71.86 | 66.8 | 2.55 |
12 | Width behind the orbital process | 19.73 | 33.86 | 29.53 | 0.46 | 36.47 | 41.56 | 38.84 | 0.53 | 39.55 | 41.84 | 40.6 | 0.47 |
13 | Minimum width between orbita | 19.56 | 29.36 | 25.58 | 0.44 | 31.69 | 44.91 | 37.96 | 1.29 | 40.8 | 45.51 | 43.54 | 1.08 |
14 | Canine length lower | 3.96 | 7.38 | 6.6 | 0.14 | 10.43 | 14.54 | 11.71 | 0.34 | 12.81 | 13.88 | 13.25 | 0.23 |
15 | Canine width lower | 3.42 | 6.03 | 4.85 | 0.1 | 6.48 | 8.65 | 7.32 | 0.19 | 8.04 | 9.01 | 8.54 | 0.26 |
16 | Mandible: height between coronoid & angular process | 29.06 | 49.01 | 42.98 | 0.77 | 51.66 | 68.14 | 61.07 | 1.28 | 62.84 | 75.87 | 68.31 | 3.02 |
17 | Height between coronoid | 14.7 | 24.15 | 21.42 | 0.36 | 25.77 | 34 | 30.93 | 0.75 | 26.5 | 36.61 | 32.06 | 2.42 |
18 | Height of body behind m1 | 2.05 | 4.72 | 3.36 | 0.09 | 3.88 | 8.07 | 5.23 | 0.42 | 6.89 | 7.97 | 7.2 | 0.26 |
19 | M1 length | 11.05 | 19.36 | 17.7 | 0.25 | 20.78 | 30.02 | 24.24 | 0.69 | 23.99 | 28.01 | 25.8 | 0.84 |
20 | Width of lower carnassial | 4.14 | 7.65 | 6.97 | 0.11 | 8.38 | 10.28 | 9.21 | 0.19 | 10.25 | 15 | 12.41 | 1.36 |
S no. | Body Characters | Golden jackal (n = 52) | Indian wolf (n = 11) | Himalayan wolf (n=4) | |||||||||
1 | Head length | 10 | 23.8 | 17.32 | 0.39 | 24.1 | 29.2 | 26.12 | 0.5 | 28.3 | 35.2 | 31.42 | 9.44 |
2 | Ear height | 3.3 | 9 | 6.96 | 0.15 | 9 | 13.5 | 11.2 | 0.44 | 9.55 | 11.9 | 10.41 | 10.14 |
3 | Body length | 33.6 | 68.8 | 53.93 | 1.06 | 72 | 94.5 | 79.95 | 2.26 | 58.6 | 113.5 | 84.79 | 3.69 |
4 | Tail length | 10.4 | 31.4 | 23.54 | 0.63 | 9.5 | 38.9 | 30.83 | 2.46 | 38.1 | 47.5 | 42.12 | 8.81 |
5 | Fore limb length | 12.1 | 35.9 | 26.29 | 0.66 | 25.6 | 50.5 | 40.46 | 2.48 | 38.55 | 45.1 | 41.7 | 9 |
6 | Hind limb length | 12.15 | 36.15 | 25.98 | 0.68 | 24.75 | 49.05 | 41.35 | 2.6 | 37.8 | 43.95 | 39.66 | 13.96 |
Reference guard hair samples from the dorsal body region of Indian wolf, Himalayan wolf and jackal were obtained from the repository skin samples of WII. A minimum of 10 hairs were taken from each sample for microscopic examination of cuticular and medullary patterns. Hair samples were thoroughly washed with hydrogen peroxide and xylene to clear dirt and opacity. Cuticular impressions were prepared on a thin film of saturated gelatine solution (
Mean values along with standard errors for skull and body measures were computed. Principal Component Analysis (PCA) was carried out on log-transformed morphometric data (external body measures and skull) to reduce dimensionality and collinearity amongst variables (
Based on the variables used in this study, PCA showed clear discrimination between skulls of wolves and golden jackals and with an overlap of the 95% ellipses of the two wolves (Fig.
Segregation of golden jackal, Indian wolf and Himalayan wolf, based on two principal components of cranial measurements. Blue, yellow and red colours represent Himalayan wolves, Indian peninsular wolves and golden jackals, respectively. The first and second axes of the PCA explained by 88.3% and 2.6% of the variation observed in the data.
Body measures differentiated wolves from golden jackals, with wolves having larger mean values in comparison to golden jackals. The first two principal components explained 77.7% and 8.0% of the variability in the data, respectively (Suppl. material
Segregation of golden jackal, Indian wolf and Himalayan wolf, based on two principal components of external morphological measurements. Blue, yellow and red colours represent Himalayan wolves, Indian wolves and golden jackals, respectively. The first and second axes of the PCA explained by 77.7% and 8.0% of the variation observed in the data.
Based on the analysis of hair morphology, major variations were not observed amongst the Indian wolves and jackals that can be used for species identification (Fig.
Medulla and cuticular characteristics of guard hair from wild species of genus Canis in India.
Hair characteristics |
Indian wolf (n = 10) |
Himalayan wolf (n = 10) |
Golden jackal (n = 10) |
Cuticular characteristics |
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Scale margin |
Crenate |
Crenate |
Crenate |
Scale distance |
Near |
Near |
Near |
Scale pattern |
Irregular wave |
Irregular wave |
Irregular wave |
Medulla characteristics |
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Type |
Simple and Wide |
Simple and Wide |
Simple and Wide |
Medulla thickness mean (SE) |
0.075 (0.0010) mm |
0.054 (0.0013) mm |
0.057 (0.0008) mm |
Percentage medulla mean (SE) |
70.2% (0.47) |
81.4% (0.7) |
71.1% (0.56) |
Despite advances in molecular taxonomy, morphology still plays an important role in phylogenetic studies, distinguishing individuals and populations for conservation management and for forensic applications (
Medulla and cuticular patterns of some Indian mammals were described by
Our data contribute to the existing global data on wild Canis species for a better and holistic understanding of the variation within the genus and allows for discrimination between jackals and wolves, but not between the two species of wolves. Since the ranges of the two wolves do not overlap, rarely would there be a need for distinguishing between them and morphometry would suffice to allocate Canis samples to species, provided they were accompanied by geographical location information.
The authors thank the Bombay Natural History Society for providing access to their collection. We thank Rahul Khot, Dr. Sandeep Gupta, Dipti Patel, Pankaj Raina and Swati Saini for assistance. We thank C. P. Sharma for his help with hair morphology analysis.
YS and YVJ conceptualised the study. YS performed the experiments, YVJ collected data, YS analysed the data and wrote the manuscript. YVJ reviewed the draft and finalised the manuscript.
The authors declare that they have no conflict of interest.
Data on cranial measures of Indian wolf (Canis lupus pallipes), Himalayan wolf (Canis himalayensis) and golden jackal (Canis aureus) from India.
Data on body measures of Indian wolf (Canis lupus pallipes), Himalayan wolf (Canis himalayensis) and golden jackal (Canis aureus) from India.
Cumulative percentage of explained variance and contribution of the cranial variables to principal components of PCA.
Cumulative percentage of explained variance and contribution of the external body variables to the principal components of PCA.