Food Requirement and Risk-Sensitive Foraging in Shortfall Minimizers

Publication Date Jan 1, 1990


Risk-sensitive foraging, generally characterized as the response of predators to variance in food reward (see Stephens and Krebs 1986) in choosing where and what to eat, is now well-established both in theory and empirically (see Stephens and Krebs 1986, Real and Caraco 1986 for recent reviews). While foraging models incorporating risk-sensitivity have been applied to a number of foraging situations (Real and Caraco 1986), the commonest scenario involves a high energy demand predator which risks starvation if there is a shortfall in its food supply. If such a predator makes foraging decisions so as to minimize the probability of a shortfall, reward variance is likely to be an important criterion on which decisions are based (e.g. Caraco 1981, Stephens 1981, McNamara and Houston 1982, Stephens and Paton 1984). In this paper, I look at some of the circumstances in which shortfalls and risk-sensitive choices might be expected, and at the evidence that such choices are made by predators. I also look at the effect of risk-sensitivity in foraging on decisions in other life history contexts.


Effect Of Risk-sensitivity Life History Contexts Risk-Sensitive Foraging Reward Variance Food Reward Food Requirement Important Criterion Food Supply High Predator High Demand

Round-ups are the summaries of handpicked papers around trending topics published every week. These would enable you to scan through a collection of papers and decide if the paper is relevant to you before actually investing time into reading it.

Climate change Research Articles published between Jan 23, 2023 to Jan 29, 2023

R DiscoveryJan 30, 2023
R DiscoveryArticles Included:  3

Climate change adaptation has shifted from a single-dimension to an integrative approach that aligns with vulnerability and resilience concepts. Adapt...

Read More

Coronavirus Pandemic

You can also read COVID related content on R COVID-19

R ProductsCOVID-19


Creating the world’s largest AI-driven & human-curated collection of research, news, expert recommendations and educational resources on COVID-19

COVID-19 Dashboard

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on “as is” basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The Copyright Law.