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Mathot KJ, Arteaga-Torres JD, Besson A, Hawkshaw DM, Klappstein N, McKinnon RA, Sridharan S, Nakagawa S. A systematic review and meta-analysis of unimodal and multimodal predation risk assessment in birds. Nat Commun 2024; 15:4240. [PMID: 38762491 PMCID: PMC11102462 DOI: 10.1038/s41467-024-48702-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 05/07/2024] [Indexed: 05/20/2024] Open
Abstract
Despite a wealth of studies documenting prey responses to perceived predation risk, researchers have only recently begun to consider how prey integrate information from multiple cues in their assessment of risk. We conduct a systematic review and meta-analysis of studies that experimentally manipulated perceived predation risk in birds and evaluate support for three alternative models of cue integration: redundancy/equivalence, enhancement, and antagonism. One key insight from our analysis is that the current theory, generally applied to study cue integration in animals, is incomplete. These theories specify the effects of increasing information level on mean, but not variance, in responses. In contrast, we show that providing multiple complementary cues of predation risk simultaneously does not affect mean response. Instead, as information richness increases, populations appear to assess risk more accurately, resulting in lower among-population variance in response to manipulations of perceived predation risk. We show that this may arise via a statistical process called maximum-likelihood estimation (MLE) integration. Our meta-analysis illustrates how explicit consideration of variance in responses can yield important biological insights.
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Affiliation(s)
- Kimberley J Mathot
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
- Canada Research Chair in Integrative Ecology, Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
| | | | - Anne Besson
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
- Department of Zoology, University of Otago, Otago, New Zealand
| | - Deborah M Hawkshaw
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Natasha Klappstein
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
- Department of Statistics, Dalhousie University, Halifax, NS, Canada
| | - Rebekah A McKinnon
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Sheeraja Sridharan
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Shinichi Nakagawa
- Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
- Theoretical Sciences Visiting Program, Okinawa Institute of Science and Technology Graduate University, Okinawa, Onna, 904-0495, Japan
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Effects of nest predation risk on female incubation behavior and offspring growth in great tits. Behav Ecol Sociobiol 2015. [DOI: 10.1007/s00265-015-1910-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Wegmann M, Voegeli B, Richner H. Parasites suppress immune-enhancing effect of methionine in nestling great tits. Oecologia 2014; 177:213-21. [DOI: 10.1007/s00442-014-3138-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2014] [Accepted: 10/29/2014] [Indexed: 01/01/2023]
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Basso A, Coslovsky M, Richner H. Parasite- and predator-induced maternal effects in the great tit ( Parus major ). Behav Ecol 2014. [DOI: 10.1093/beheco/aru088] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
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Coslovsky M, Richner H. Preparing offspring for a dangerous world: potential costs of being wrong. PLoS One 2012; 7:e48840. [PMID: 23144992 PMCID: PMC3492257 DOI: 10.1371/journal.pone.0048840] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2012] [Accepted: 10/01/2012] [Indexed: 11/18/2022] Open
Abstract
Adaptive maternal responses to stressful environments before young are born can follow two non-exclusive pathways: either the mother reduces current investment in favor of future investment, or influences offspring growth and development in order to fit offspring phenotype to the stressful environment. Inducing such developmental cues, however, may be risky if the environment changes meanwhile, resulting in maladapted offspring. Here we test the effects of a predator-induced maternal effect in a predator-free postnatal environment. We manipulated perceived predation-risk for breeding female great tits by exposing them to stuffed models of either a predatory bird or a non-predatory control. Offspring were raised either in an environment matching the maternal one by exchanging whole broods within a maternal treatment group, or in a mismatching environment by exchanging broods among the maternal treatments. Offspring growth depended on the matching of the two environments. While for offspring originating from control treated mothers environmental mismatch did not significantly change growth, offspring of mothers under increased perceived predation risk grew faster and larger in matching conditions. Offspring of predator treated mothers fledged about one day later when growing under mismatching conditions. This suggests costs paid by the offspring if mothers predict environmental conditions wrongly.
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Affiliation(s)
- Michael Coslovsky
- Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.
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