Literature DB >> 19034528

Functional responses modified by predator density.

Pavel Kratina1, Matthijs Vos, Andrew Bateman, Bradley R Anholt.   

Abstract

Realistic functional responses are required for accurate model predictions at the community level. However, controversy remains regarding which types of dependencies need to be included in functional response models. Several studies have shown an effect of very high predator densities on per capita predation rates, but it is unclear whether this predator dependence is also important at low predator densities. We fit integrated functional response models to predation data from 4-h experiments where we had varied both predator and prey densities. Using an information theoretic approach we show that the best-fit model includes moderate predator dependence, which was equally strong even at low predator densities. The best fits of Beddington-DeAngelis and Arditi-Akçakaya functional responses were closely followed by the fit of the Arditi-Ginzburg model. A Holling type III functional response did not describe the data well. In addition, independent behavioral observations revealed high encounter rates between predators. We quantified the number of encounters between predators and the time the focal predator spent interacting with other individuals per encounter. This time "wasted" on conspecifics reduced the total time available for foraging and may therefore account for lower predation rates at higher predator densities. Our findings imply that ecological theory needs to take realistic levels of predator dependence into account.

Mesh:

Year:  2008        PMID: 19034528     DOI: 10.1007/s00442-008-1225-5

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  19 in total

1.  Effects of spatial grouping on the functional response of predators.

Authors:  C Cosner; D L DeAngelis; J S Ault; D B Olson
Journal:  Theor Popul Biol       Date:  1999-08       Impact factor: 1.570

2.  The nature of predation: prey dependent, ratio dependent or neither?

Authors: 
Journal:  Trends Ecol Evol       Date:  2000-08       Impact factor: 17.712

3.  The influence of size-specific indirect interactions in predator-prey systems.

Authors:  Volker H W Rudolf
Journal:  Ecology       Date:  2006-02       Impact factor: 5.499

4.  Size structure and substitutability in an odonate intraguild predation system.

Authors:  Patrick W Crumrine
Journal:  Oecologia       Date:  2005-06-21       Impact factor: 3.225

5.  Species diversity modulates predation.

Authors:  Pavel Kratina; Matthijs Vos; Bradley R Anholt
Journal:  Ecology       Date:  2007-08       Impact factor: 5.499

6.  Ecological consequences of the trade-off between growth and mortality rates mediated by foraging activity.

Authors:  E E Werner; B R Anholt
Journal:  Am Nat       Date:  1993-08       Impact factor: 3.926

7.  The dynamics of spatially coupled food webs.

Authors:  K S McCann; J B Rasmussen; J Umbanhowar
Journal:  Ecol Lett       Date:  2005-05       Impact factor: 9.492

8.  Intraspecific interference among larvae in a semivoltine dragonfly population.

Authors:  P H Crowley; P M Dillon; D M Johnson; C N Watson
Journal:  Oecologia       Date:  1987-02       Impact factor: 3.225

9.  Predation and bark beetle dynamics.

Authors:  John D Reeve
Journal:  Oecologia       Date:  1997-09       Impact factor: 3.225

10.  Functional responses: a question of alternative prey and predator density.

Authors:  Britta Tschanz; Louis-Felix Bersier; Sven Bacher
Journal:  Ecology       Date:  2007-05       Impact factor: 5.499

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  17 in total

1.  Intermittency in processing explains the diversity and shape of functional grazing responses.

Authors:  Kai W Wirtz
Journal:  Oecologia       Date:  2012-02-05       Impact factor: 3.225

2.  Spatial heterogeneity and functional response: an experiment in microcosms with varying obstacle densities.

Authors:  Céline Hauzy; Thomas Tully; Thierry Spataro; Grégory Paul; Roger Arditi
Journal:  Oecologia       Date:  2010-03-09       Impact factor: 3.225

3.  Food web persistence is enhanced by non-trophic interactions.

Authors:  Edd Hammill; Pavel Kratina; Matthijs Vos; Owen L Petchey; Bradley R Anholt
Journal:  Oecologia       Date:  2015-02-06       Impact factor: 3.225

4.  Mutual interference between adult females of Galendromus flumenis (Acari: Phytoseiidae) feeding on eggs of Banks grass mite decreases predation efficiency and increases emigration rate.

Authors:  Fatemeh Ganjisaffar; Gösta Nachman; Thomas M Perring
Journal:  Exp Appl Acarol       Date:  2017-05-19       Impact factor: 2.132

5.  How does the presence of a conspecific individual change the behavioral game that a predator plays with its prey?

Authors:  Reut Vardi; Zvika Abramsky; Burt P Kotler; Ofir Altstein; Michael L Rosenzweig
Journal:  Oecologia       Date:  2017-05-17       Impact factor: 3.225

6.  Ectophagous folivores do not profit from rich resources on phylogenetically isolated trees.

Authors:  Soumen Mallick; Freerk Molleman; Benjamin Yguel; Richard Bailey; Jörg Müller; Frédéric Jean; Andreas Prinzing
Journal:  Oecologia       Date:  2022-09-27       Impact factor: 3.298

7.  Predation potential of Chilocorus cacti (Coleoptera: Coccinellidae) to the prickly pear cacti pest Dactylopius opuntiae (Hemiptera: Dactylopiidae).

Authors:  A Flores; H Olvera; S Rodríguez; J Barranco
Journal:  Neotrop Entomol       Date:  2013-05-17       Impact factor: 1.434

8.  Habitat structure alters top-down control in litter communities.

Authors:  Gregor Kalinkat; Ulrich Brose; Björn Christian Rall
Journal:  Oecologia       Date:  2012-11-28       Impact factor: 3.225

9.  Predator type influences the frequency of functional responses to prey in marine habitats.

Authors:  Robert P Dunn; Kevin A Hovel
Journal:  Biol Lett       Date:  2020-01-22       Impact factor: 3.703

10.  Non-linear feeding functional responses in the Greater Flamingo (Phoenicopterus roseus) predict immediate negative impact of wetland degradation on this flagship species.

Authors:  Anne-Sophie Deville; David Grémillet; Michel Gauthier-Clerc; Matthieu Guillemain; Friederike Von Houwald; Bruno Gardelli; Arnaud Béchet
Journal:  Ecol Evol       Date:  2013-04-12       Impact factor: 2.912

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