ORCID
- Briffa, Mark: 0000-0003-2520-0538
Abstract
Abstract Competition for resources is a ubiquitous feature of life, and a central topic in behavioral ecology. Organisms use assessment strategies to resolve contests, which can be delineated into two broad categories by the information individuals use to make decisions: mutual assessment (MA) or self-assessment (SA). Most research hitherto has worked to bin a species into one of these categories. In this review, we discuss the limitations of this approach and provide solutions. We posit that assessment strategies do not need to be fixed within a species, individuals, or interactions, and that many organisms should adjust their assessment strategy as the environment, opponent, and opportunities for information gathering change. We show that assessment strategies are an individual-level characteristic, can vary within and between contests, and are not mutually exclusive. We argue that MA is the midpoint along a spectrum of self only and opponent only assessment. We discuss the effects of resource distribution, demographics, experience, information transfer, and ontogeny on assessment strategy evolution and behavior. We conclude by providing empirical guidelines and an example with a simulated dataset.
DOI
10.1093/beheco/arz081
Publication Date
2019-09-28
Publication Title
Behavioral Ecology
Volume
30
Issue
5
ISSN
1045-2249
Embargo Period
2022-02-19
Organisational Unit
School of Biological and Marine Sciences
First Page
1177
Last Page
1185
Recommended Citation
Chapin, K. J., Peixoto, P., & Briffa, M. (2019) 'Further mismeasures of animal contests: a new framework for assessment strategies', Behavioral Ecology, 30(5), pp. 1177-1185. Available at: https://doi.org/10.1093/beheco/arz081