2018
DOI: 10.1002/ece3.3867
|View full text |Cite
|
Sign up to set email alerts
|

Functional macronutritional generalism in a large omnivore, the brown bear

Abstract: We combine a recently developed framework for describing dietary generalism with compositional data analysis to examine patterns of omnivory in a large widely distributed mammal. Using the brown bear (Ursus arctos) as a model species, we collected and analyzed data from the literature to estimate the proportions of macronutrients (protein, carbohydrate, and lipid) in the diets of bear populations. Across their range, bears consumed a diversity of foods that resulted in annual population diets that varied in ma… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

5
44
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 35 publications
(49 citation statements)
references
References 72 publications
(136 reference statements)
5
44
0
Order By: Relevance
“…We found that the realized macronutrient niches of Asiatic black bear in both Nepalese study areas were similar, despite differences in macronutrient niche breadth, suggesting that they were regulating their diet toward a shared and preferred proportion of dietary macronutrients. The realized niches of Asiatic black bears in our study were similar to those of global brown bear populations during autumn (Coogan, Raubenheimer, Stenhouse et al, ). Likewise, the proportion of macronutrients in the black bear's diets were similar to those self‐selected by captive brown bears, which maintained an average ratio of 17% protein to an 83% mixture of carbohydrates and lipids (i.e., nonprotein macronutrients; Erlenbach et al, )—similarity in macronutrient preferences among species of bears is a possibility, because brown bear, American black bear, and giant panda ( Ailuropoda melanoleuca ) were shown to have similar digestive efficiencies (Pritchard & Robbins, ).…”
Section: Discussionsupporting
confidence: 86%
See 4 more Smart Citations
“…We found that the realized macronutrient niches of Asiatic black bear in both Nepalese study areas were similar, despite differences in macronutrient niche breadth, suggesting that they were regulating their diet toward a shared and preferred proportion of dietary macronutrients. The realized niches of Asiatic black bears in our study were similar to those of global brown bear populations during autumn (Coogan, Raubenheimer, Stenhouse et al, ). Likewise, the proportion of macronutrients in the black bear's diets were similar to those self‐selected by captive brown bears, which maintained an average ratio of 17% protein to an 83% mixture of carbohydrates and lipids (i.e., nonprotein macronutrients; Erlenbach et al, )—similarity in macronutrient preferences among species of bears is a possibility, because brown bear, American black bear, and giant panda ( Ailuropoda melanoleuca ) were shown to have similar digestive efficiencies (Pritchard & Robbins, ).…”
Section: Discussionsupporting
confidence: 86%
“…Both of these crop foods have a high proportion of carbohydrate energy (~82–84°C), which further demonstrates a link between high‐carbohydrate foods and bear‐human conflict (Coogan & Raubenheimer, ), yet in this case for Asiatic black bear. Furthermore, diets of bears in the KSL, which had approximately 1.6 × higher RF% of crop foods in summer compared to the DHR (12.8 RF% in DHR vs. 20.0 RF% in KSL), were also proportionally higher in carbohydrate and lower in protein, which is consistent with a global review of brown bear diets (Coogan, Raubenheimer, Stenhouse et al, ). Anthropogenic crop depredation has been documented throughout the range of Asian black bear (Can, D'Cruze, Garshelis, Beecham, & Macdonald, ; Hwang et al, ; Hyugens, Manen, Marotello, Hayashi, & Ishida, ; Reid et al, ; Sathyakumar & Viswanath, ) and has been linked to natural limitations in the availability of both hard and soft mast (Honda, ).…”
Section: Discussionsupporting
confidence: 86%
See 3 more Smart Citations