Evidence map›Paper›PMID 35994662›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

The generality of cryptic dietary niche differences in diverse large-herbivore assemblages.

Johan Pansu, Matthew C Hutchinson, T Michael Anderson, Mariska Te Beest, Colleen M Begg, Keith S Begg, Aurelie Bonin, Lackson Chama, Simon Chamaillé-Jammes, Eric Coissac and 21 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

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  18. The apportionment of dietary diversity in wildlife.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Johan PansuDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, 08544.ORCID 0000-0003-0256-0258
Matthew C HutchinsonDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, 08544.ORCID 0000-0002-2423-4026
T Michael AndersonDepartment of Biology, Wake Forest University, Winston-Salem, NC, 27109.ORCID 0000-0003-0109-2528
Mariska Te BeestCopernicus Institute of Sustainable Development, Utrecht University, Utrecht, 3584 CB, The Netherlands.ORCID 0000-0003-3673-4105
Colleen M BeggNiassa Carnivore Project, Niassa National Reserve, Mozambique.
Keith S BeggNiassa Carnivore Project, Niassa National Reserve, Mozambique.
Aurelie BoninLaboratoire d'Ecologie Alpine, Université Grenoble Alpes, Centre National de la Recherche Scientifique, Grenoble, F-38000, France.
Lackson ChamaSchool of Natural Resources, Department of Zoology & Aquatic Sciences, Copperbelt University, Kitwe, Zambia.ORCID 0000-0002-0094-9238
Simon Chamaillé-JammesCentre d'Ecologie Fonctionnelle et Evolutive, University of Montpellier, Centre National de la Recherche Scientifique, Ecole Pratique des Hautes Etudes, IRD, Montpellier, 34293, France.ORCID 0000-0003-0505-6620
Eric CoissacLaboratoire d'Ecologie Alpine, Université Grenoble Alpes, Centre National de la Recherche Scientifique, Grenoble, F-38000, France.
Joris P G M CromsigtCopernicus Institute of Sustainable Development, Utrecht University, Utrecht, 3584 CB, The Netherlands.ORCID 0000-0002-8632-9469
Margaret Y DemmelDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, 08544.
Jason E DonaldsonDepartment of Biology, Wake Forest University, Winston-Salem, NC, 27109.ORCID 0000-0001-9267-3293
Jennifer A GuytonDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, 08544.
Christina B HansenDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, 08544.
Christopher I ImakandoSchool of Natural Resources, Department of Zoology & Aquatic Sciences, Copperbelt University, Kitwe, Zambia.ORCID 0000-0002-1455-208X
Azwad IqbalDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, 08544.
Davis F KalimaDepartment of National Parks and Wildlife, Lilongwe, 3, Malawi.
Graham I H KerleyCentre for African Conservation Ecology, Nelson Mandela University, Port Elizabeth, 6031, South Africa.ORCID 0000-0003-2702-5200
Samson KurukuraMpala Research Centre, Nanyuki, 10400, Kenya.
Marietjie LandmanCentre for African Conservation Ecology, Nelson Mandela University, Port Elizabeth, 6031, South Africa.
Ryan A LongDepartment of Fish and Wildlife Sciences, University of Idaho, Moscow, ID, 83844.ORCID 0000-0002-0124-7641
Isaack Norbert MunuoSerengeti Wildlife Research Institute, Seronera, Tanzania.
Ciara M NutterDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, 08544.
Catherine L ParrSchool of Environmental Sciences, University of Liverpool, Liverpool, L3 5DA, United Kingdom.
Arjun B PotterDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, 08544.
Stanford SiachoonoSchool of Natural Resources, Department of Zoology & Aquatic Sciences, Copperbelt University, Kitwe, Zambia.ORCID 0000-0003-1195-0450
Pierre TaberletLaboratoire d'Ecologie Alpine, Université Grenoble Alpes, Centre National de la Recherche Scientifique, Grenoble, F-38000, France.ORCID 0000-0002-3554-5954
Eusebio WaitiNiassa Carnivore Project, Niassa National Reserve, Mozambique.
Tyler R KartzinelDepartment of Ecology, Evolution, and Organismal Biology, Brown University, Providence, RI, 02912.ORCID 0000-0002-8488-0580
Robert M PringleDepartment of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, 08544.ORCID 0000-0001-7487-5393

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecological niche differences are necessary for stable species coexistence but are often difficult to discern. Models of dietary niche differentiation in large mammalian herbivores invoke the quality, quantity, and spatiotemporal distribution of plant tissues and growth forms but are agnostic toward food plant species identity. Empirical support for these models is variable, suggesting that additional mechanisms of resource partitioning may be important in sustaining large-herbivore diversity in African savannas. We used DNA metabarcoding to conduct a taxonomically explicit analysis of large-herbivore diets across southeastern Africa, analyzing ∼4,000 fecal samples of 30 species from 10 sites in seven countries over 6 y. We detected 893 food plant taxa from 124 families, but just two families-grasses and legumes-accounted for the majority of herbivore diets. Nonetheless, herbivore species almost invariably partitioned food plant taxa; diet composition differed significantly in 97% of pairwise comparisons between sympatric species, and dissimilarity was pronounced even between the strictest grazers (grass eaters), strictest browsers (nongrass eaters), and closest relatives at each site. Niche differentiation was weakest in an ecosystem recovering from catastrophic defaunation, indicating that food plant partitioning is driven by species interactions, and was stronger at low rainfall, as expected if interspecific competition is a predominant driver. Diets differed more between browsers than grazers, which predictably shaped community organization: Grazer-dominated trophic networks had higher nestedness and lower modularity. That dietary differentiation is structured along taxonomic lines complements prior work on how herbivores partition plant parts and patches and suggests that common mechanisms govern herbivore coexistence and community assembly in savannas.

Indexed as

DietGrasslandHerbivoryMammalsPlantsAfricaAnimalsCompetitive BehaviorDNA Barcoding, TaxonomicFabaceaeFecesPoaceaeRaincommunity assemblydietary niche partitioningecological network analysismodern coexistence theoryungulate foraging behavior

Identifiers

PMID35994662
PMCPMC9436339

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.