Literature DB >> 29357169

Habitat Selection Under Predation Hazard: Test of a Model with Foraging Minnows.

James F Gilliam, Douglas F Fraser.   

Abstract

Animals commonly choose among habitats that differ both in foraging return and mortality hazard. However, no experimental study has attempted to predict the level of increase in resources, or the decrease in mortality hazard, which will induce a forager to shift from a safer to a more hazardous (but richer) foraging area. Here we present and test a model that specifies the choice of foraging areas ("habitats") that would minimize total mortality risk while allowing collection of some arbitrary net energy gain. We tested the model with juvenile creek chubs (Semotilus atromaculatus) in an experimental field stream in which the foragers could utilize a foodless refuge and choose between two foraging areas that differed in experimentally manipulated resource densities (Tubifex spp. worms in sediments) and mortality hazard (adult creek chubs). For the case tested, the model specified a simple rule: "use the refuge plus the site with the lowest ratio of mortality rate (μ) to gross foraging rat (f)," i.e., "minimize μ./f." Independent prior measurements of mortality hazard (as a function of predator density) and gross foraging rate (as a function of resource density) allowed us to predict the resource level in the more hazardous foraging site that should induce a shift from the safer to the more hazardous site. The chubs' preferences in subsequent choice experiments agreed well with the theoretical predictions. The "minimize μ/f" rule (deaths per unit energy), perhaps in modified form, provides a simple alternative to the "maximize f" (energy per unit time) criterion that applies to long-term rate maximization when predation hazard does not differ among choices. © 1987 by the Ecological Society of America.

Entities:  

Year:  1987        PMID: 29357169     DOI: 10.2307/1939877

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  27 in total

1.  Spatial interplay of plant competition and consumer foraging mediate plant coexistence and drive the invasion ratchet.

Authors:  John L Orrock; Marissa L Baskett; Robert D Holt
Journal:  Proc Biol Sci       Date:  2010-06-09       Impact factor: 5.349

2.  Maternal exposure to predator scents: offspring phenotypic adjustment and dispersal.

Authors:  Elvire Bestion; Aimeric Teyssier; Fabien Aubret; Jean Clobert; Julien Cote
Journal:  Proc Biol Sci       Date:  2014-10-07       Impact factor: 5.349

3.  Key physical wood properties in termite foraging decisions.

Authors:  Sebastian Oberst; Joseph C S Lai; Theodore A Evans
Journal:  J R Soc Interface       Date:  2018-12-21       Impact factor: 4.118

Review 4.  Blood, bulbs, and bunodonts: on evolutionary ecology and the diets of Ardipithecus, Australopithecus, and early Homo.

Authors:  Ken Sayers; C Owen Lovejoy
Journal:  Q Rev Biol       Date:  2014-12       Impact factor: 4.875

5.  The Predation Game: Does dividing attention affect patterns of human foraging?

Authors:  Ian M Thornton; Jérôme Tagu; Sunčica Zdravković; Árni Kristjánsson
Journal:  Cogn Res Princ Implic       Date:  2021-05-06

6.  Behavioural versus physiological mediation of life history under predation risk.

Authors:  Andrew P Beckerman; Kazimierz Wieski; Donald J Baird
Journal:  Oecologia       Date:  2007-01-12       Impact factor: 3.298

7.  Susceptibility to predation affects trait-mediated indirect interactions by reversing interspecific competition.

Authors:  Sophie L Mowles; Simon D Rundle; Peter A Cotton
Journal:  PLoS One       Date:  2011-08-17       Impact factor: 3.240

8.  Seasonal migration determined by a trade-off between predator avoidance and growth.

Authors:  Christer Brönmark; Christian Skov; Jakob Brodersen; P Anders Nilsson; Lars-Anders Hansson
Journal:  PLoS One       Date:  2008-04-16       Impact factor: 3.240

9.  The many faces of fear: comparing the pathways and impacts of nonconsumptive predator effects on prey populations.

Authors:  Evan L Preisser; Daniel I Bolnick
Journal:  PLoS One       Date:  2008-06-18       Impact factor: 3.240

10.  Using stochastic gradient boosting to infer stopover habitat selection and distribution of Hooded Cranes Grus monacha during spring migration in Lindian, Northeast China.

Authors:  Tianlong Cai; Falk Huettmann; Yumin Guo
Journal:  PLoS One       Date:  2014-02-26       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.