Cited by 9melanin and skin pigmentationWildlife Ecology and ConservationHuman-Animal Interaction Studies

Melanistic Canis in Arkansas

Gipson, Philip S.·1976·The Southwestern Naturalist

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Crossref · 10.2307/3670332

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  • In the Eastern United States, melanistic coyotes are estimated to comprise 5-9% of the population.

    “In the Eastern United States, melanistic coyotes are estimated to comprise 5-9% of the population (Gipson, 1976;Caudill & Caudill, 2015).”
  • Increased hybridization of coyotes on the East coast with domestic dogs and wolves may promote variation in pelage coloration.

    “This may be due to the increased hybridization of coyotes on the East coast with domestic dogs (Canis familiaris) and wolves (Canis lupus) promoting a variation in pelage coloration (Gipson, 1976;Anderson et al., 2009;Mowry & Edge, 2014;Caudill & Caudill, 2015;Hody & Kays, 2018).”

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Authors
Gipson, P. S.
Corresponding author
Gipson, Philip S.
Venue
The Southwestern Naturalist
Publisher
JSTOR
Published
1976-03-20
Volume
21
Issue
1
Pages
124
ISSN
0038-4909 (ISSN-L)
OpenAlex
W2324375889
Cited by
9
References
0
Citations by year
2024: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2019: 2 · 2015: 1 · 2014: 1
FWCI
0.00
Type
journal article
Language
en
Open access
closed
Locations
The Southwestern Naturalist (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › melanin and skin pigmentation
  • Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Human-Animal Interaction Studies
Keywords
melanism, Canis, black dog, coyote, dogs, color variation, Arkansas

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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