SynthesisThe Journal of animal ecology2025
Do lifetime contest costs affect the evolution of assessment strategies? A meta-analysis.
Synthesis in The Journal of animal ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled 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.
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.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Do lifetime contest costs affect the evolution of assessment strategies? A meta-analysis.The Journal of animal ecology · 2025Pooled it
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.
Funding
Abstract
In animal contests, the decision to flee or to remain in a contest is crucial to the individual's fitness because a wrong decision can dramatically change the costs individuals accrue over their lifetime. Empirical evaluations of the rules that individuals adopt to remain on a contest often provide support for two major possibilities: self-assessment strategies, in which each individual remain in the contest until reaching its own cost threshold, and a mutual-assessment strategy, in which individuals assess the rival's capacity to sustain or to impose costs during the contest and decide to flee when they consider that the rival is stronger. However, it is unclear what drives the evolution of different assessment strategies among species. A factor that may be key to understanding such variation is contest cost. If contests provide a fast and/or large cost accrual, mutual assessment strategies may be favoured because they avoid contests in which individuals always reach their own cost threshold. On the other hand, in species in which cost accrual during the contest is slow and/or small, self-assessment may prevail. Here, we performed a meta-analysis using information on the way individuals engage in contests in different species. Our goal is to test the hypothesis that contests involving high-cost accrual, such as contests in species in which rivals use weapons, can favour the evolution of mutual assessment strategies, while contests with lower costs, such as contests without physical contact, should favour the evolution of self-assessment strategies. We obtained 80 effect sizes spanning 36 species. Contrary to our hypothesis, we found that species with high-cost contests consistently adopted self-assessment strategies, while species with low-cost contests did not present a consistent assessment strategy. We suggest that high-cost contests may evolve in species in which individuals experiencing defeat or opting to flee from a contest have a significant decrease in their reproductive success. Consequently, individuals would be compelled to engage in contests regardless of their opponent. In low-cost contests, however, we suggest that any potential selective pressure for a specific assessment strategy is relaxed, which could explain the diversity of assessment strategies observed in this category.
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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.