» Articles » PMID: 11259674

The Contribution of Trait-mediated Indirect Effects to the Net Effects of a Predator

Overview
Specialty Science
Date 2001 Mar 22
PMID 11259674
Citations 80
Authors
Affiliations
Soon will be listed here.
Abstract

Many prey modify traits in response to predation risk and this modification of traits can influence the prey's resource acquisition rate. A predator thus can have a "nonlethal" impact on prey that can lead to indirect effects on other community members. Such indirect interactions are termed trait-mediated indirect interactions because they arise from a predator's influence on prey traits, rather than prey density. Because such nonlethal predator effects are immediate, can influence the entire prey population, and can occur over the entire prey lifetime, we argue that nonlethal predator effects are likely to contribute strongly to the net indirect effects of predators (i.e., nonlethal effects may be comparable in magnitude to those resulting from killing prey). This prediction was supported by an experiment in which the indirect effects of a larval dragonfly (Anax sp.) predator on large bullfrog tadpoles (Rana catesbeiana), through nonlethal effects on competing small bullfrog tadpoles, were large relative to indirect effects caused by density reduction of the small tadpoles (the lethal effect). Treatments in which lethal and nonlethal effects of Anax were manipulated independently indicated that this result was robust for a large range of different combinations of lethal and nonlethal effects. Because many, if not most, prey modify traits in response to predators, our results suggest that the magnitude of interaction coefficients between two species may often be dynamically related to changes in other community members, and that many indirect effects previously attributed to the lethal effects of predators may instead be due to shifts in traits of surviving prey.

Citing Articles

Housework or vigilance? Bilbies alter their burrowing activity under threat of predation by feral cats.

Chen F, Dawson S, Fleming P Behav Ecol. 2024; 35(1):arad073.

PMID: 38193017 PMC: 10773314. DOI: 10.1093/beheco/arad073.


Ponds as experimental arenas for studying animal movement: current research and future prospects.

Bronmark C, Hellstrom G, Baktoft H, Hansson L, McCallum E, Nilsson P Mov Ecol. 2023; 11(1):68.

PMID: 37880741 PMC: 10601242. DOI: 10.1186/s40462-023-00419-9.


The opposing roles of lethal and nonlethal effects of parasites on host resource consumption.

Resetarits E, Ellis W, Byers J Ecol Evol. 2023; 13(4):e9973.

PMID: 37066062 PMC: 10099202. DOI: 10.1002/ece3.9973.


Understanding the impact of third-party species on pairwise coexistence.

Deng J, Taylor W, Saavedra S PLoS Comput Biol. 2022; 18(10):e1010630.

PMID: 36279302 PMC: 9632822. DOI: 10.1371/journal.pcbi.1010630.


A skewed literature: Few studies evaluate the contribution of predation-risk effects to natural field patterns.

Peacor S, Dorn N, Smith J, Peckham N, Cherry M, Sheriff M Ecol Lett. 2022; 25(9):2048-2061.

PMID: 35925978 PMC: 9545701. DOI: 10.1111/ele.14075.


References
1.
Beckerman A, Uriarte M, Schmitz O . Experimental evidence for a behavior-mediated trophic cascade in a terrestrial food chain. Proc Natl Acad Sci U S A. 2000; 94(20):10735-8. PMC: 23467. DOI: 10.1073/pnas.94.20.10735. View

2.
Estes J, Palmisano J . Sea otters: their role in structuring nearshore communities. Science. 1974; 185(4156):1058-60. DOI: 10.1126/science.185.4156.1058. View

3.
Brooks J, Dodson S . Predation, Body Size, and Composition of Plankton. Science. 1965; 150(3692):28-35. DOI: 10.1126/science.150.3692.28. View

4.
Schmitz O . Direct and indirect effects of predation and predation risk in old-field interaction webs. Am Nat. 2008; 151(4):327-42. DOI: 10.1086/286122. View

5.
Huang C, Sih A . Experimental studies on direct and indirect interactions in a three trophic-level stream system. Oecologia. 2017; 85(4):530-536. DOI: 10.1007/BF00323765. View