ArticleEcology letters2014
Geometric factors influencing the diet of vertebrate predators in marine and terrestrial environments.
Article in Ecology letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
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Who cites it
12 citing papers in PubMed, 34 citations in OpenAlex.
- Convergent carnivores or divergent dasyurids? Inferring predation and locomotor strategies of extant and extinct carnivorous marsupials from locomotor shape.BMC ecology and evolution · 2026Article
- The complex structure of aquatic food webs emerges from a few assembly rules.Nature ecology & evolution · 2025Article
- Considerations on amino acid patterns in the natural felid diet: a review.Frontiers in veterinary science · 2024Review
- What is a mammalian omnivore? Insights into terrestrial mammalian diet diversity, body mass and evolution.Proceedings. Biological sciences · 2023Article
- Diet, habitat and flight characteristics correlate with intestine length in birds.Proceedings. Biological sciences · 2022Article
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- Mammalian intestinal allometry, phylogeny, trophic level and climate.Proceedings. Biological sciences · 2021Article
- Phylogenetic signal in tooth wear? A question that can be answered-By testing.Ecology and evolution · 2019Article
- Measuring body dimensions of leopards (PeerJ · 2019Article
- Exceptional body sizes but typical trophic structure in a Pleistocene food web.Biology letters · 2016Article
- Insects for breakfast and whales for dinner: the diet and body condition of dingoes on Fraser Island (K'gari).Scientific reports · 2016Article
- Is the scaling of swim speed in sharks driven by metabolism?Biology letters · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predator-prey relationships are vital to ecosystem function and there is a need for greater predictive understanding of these interactions. We develop a geometric foraging model predicting minimum prey size scaling in marine and terrestrial vertebrate predators taking into account habitat dimensionality and biological traits. Our model predicts positive predator-prey size relationships on land but negative relationships in the sea. To test the model, we compiled data on diets of 794 predators (mammals, snakes, sharks and rays). Consistent with predictions, both terrestrial endotherm and ectotherm predators have significantly positive predator-prey size relationships. Marine predators, however, exhibit greater variation. Some of the largest predators specialise on small invertebrates while others are large vertebrate specialists. Prey-predator mass ratios were generally higher for ectothermic than endothermic predators, although dietary patterns were similar. Model-based simulations of predator-prey relationships were consistent with observed relationships, suggesting that our approach provides insights into both trends and diversity in predator-prey interactions.
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What OpenQuestion holds
Registered trials
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.