The complexity of interacting nutritional drivers behind food selection, a review of northern cervids Article Swipe
Annika M. Felton
,
Hilde Karine Wam
,
Caroline Stolter
,
Karen Marie Mathisen
,
Märtha Wallgren
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1002/ecs2.2230
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1002/ecs2.2230
The research literature on food selection by large herbivores is extensive. Still, we are generally lacking in our knowledge of the influence of potentially interacting chemical contents of the food. We made a qualitative review of a systematic literature search of studies that empirically link chemical contents of food to the food selection by northern cervids (genera Alces , Capreolus , Cervus , Dama , Odocoileus, Rangifer ). We found that although the majority of the 98 relevant studies measuring any given food constituent (energy, protein, fiber, minerals, plant secondary metabolites) provided support for it acting as a driver of food selection (in either a negative or positive way), there was little support for the traditional hypotheses of maximization or limitation of any single constituent. Rather, because of the animals’ need to acquire an appropriate intake of several constituents at the same time, our review highlights how new empirical studies need to focus on several food constituents in synchrony: (1) Study designs should capture sufficient variation in the content of food constituents in order to tease apart their many co‐variations; and (2) insights about nutritional drivers may be lost if one uses only composite currencies such as crude energy, crude fiber, ash, or tannins, which may mask contrasting selection patterns of the lumped constituents. Season had an apparent influence on the selection of some food constituents, particularly various fiber fractions. In contrast, our review revealed a lack of evidence that cervids more strongly select for protein in summer than they do in winter. Our overall conclusion of the review is that interacting chemical contents of food make the nutritional value of a given food type into a varying entity. To better elucidate this variation, we need new technologies that non‐invasively capture nutrient intake of free‐ranging animals, across seasons.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1002/ecs2.2230
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.2230
- OA Status
- gold
- Cited By
- 67
- References
- 184
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2807590552
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2807590552Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/ecs2.2230Digital Object Identifier
- Title
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The complexity of interacting nutritional drivers behind food selection, a review of northern cervidsWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-05-01Full publication date if available
- Authors
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Annika M. Felton, Hilde Karine Wam, Caroline Stolter, Karen Marie Mathisen, Märtha WallgrenList of authors in order
- Landing page
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https://doi.org/10.1002/ecs2.2230Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.2230Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.2230Direct OA link when available
- Concepts
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Selection (genetic algorithm), Biology, Odocoileus, Capreolus, Herbivore, Ecology, Roe deer, Computer science, Machine learningTop concepts (fields/topics) attached by OpenAlex
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67Total citation count in OpenAlex
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2025: 9, 2024: 10, 2023: 9, 2022: 7, 2021: 12Per-year citation counts (last 5 years)
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184Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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