Literature DB >> 17601148

How population dynamics shape the functional response in a one-predator-two-prey system.

E Van Leeuwen1, V A A Jansen, P W Bright.   

Abstract

The type III functional response has historically been associated with switching predators; when there is a choice of prey the predator favors the more abundant prey type. Although this functional response has been found in experiments where both prey densities are manipulated, in real world studies the type II functional response is more commonly found. In modeling, the type III functional response is often used in systems where the second prey type is, implicitly, assumed to be constant. Here we define a functional response that takes into account both prey densities. This causes the functional response to show both type II and type III behavior, dependent on the interaction between the two prey densities. If we take into account population dynamics, we find a type II functional response in most cases, because predation regulates the relative prey densities. This explains why type III functional responses are found in experiments where both prey densities are manipulated, but type II functional responses occur when the feedback of population dynamics on the functional response is important. Furthermore, the results show that switching can have a stabilizing or destabilizing effect and can even lead to predator extinction.

Mesh:

Year:  2007        PMID: 17601148     DOI: 10.1890/06-1335

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


  11 in total

1.  Bistability induced by generalist natural enemies can reverse pest invasions.

Authors:  Sten Madec; Jérôme Casas; Guy Barles; Christelle Suppo
Journal:  J Math Biol       Date:  2017-01-17       Impact factor: 2.259

2.  Increased olfactory search costs change foraging behaviour in an alien mustelid: a precursor to prey switching?

Authors:  Catherine J Price; Peter B Banks
Journal:  Oecologia       Date:  2016-05-26       Impact factor: 3.225

3.  Generalist predator, cyclic voles and cavity nests: testing the alternative prey hypothesis.

Authors:  Hannu Pöysä; Kaisa Jalava; Antti Paasivaara
Journal:  Oecologia       Date:  2016-09-24       Impact factor: 3.225

4.  Attack rate and prey preference of Lasioseius subterraneous and Protogamasellus mica on four nematode species.

Authors:  M Manwaring; H F Nahrung; H Wallace
Journal:  Exp Appl Acarol       Date:  2020-01-01       Impact factor: 2.132

Review 5.  Integrating movement ecology with biodiversity research - exploring new avenues to address spatiotemporal biodiversity dynamics.

Authors:  Florian Jeltsch; Dries Bonte; Guy Pe'er; Björn Reineking; Peter Leimgruber; Niko Balkenhol; Boris Schröder; Carsten M Buchmann; Thomas Mueller; Niels Blaum; Damaris Zurell; Katrin Böhning-Gaese; Thorsten Wiegand; Jana A Eccard; Heribert Hofer; Jette Reeg; Ute Eggers; Silke Bauer
Journal:  Mov Ecol       Date:  2013-08-05       Impact factor: 3.600

6.  Optimal background matching camouflage.

Authors:  Constantine Michalis; Nicholas E Scott-Samuel; David P Gibson; Innes C Cuthill
Journal:  Proc Biol Sci       Date:  2017-07-12       Impact factor: 5.349

7.  A comparative approach to stabilizing mechanisms between discrete- and continuous-time consumer-resource models.

Authors:  Abhyudai Singh
Journal:  PLoS One       Date:  2022-04-12       Impact factor: 3.240

8.  Comparative Functional Responses Predict the Invasiveness and Ecological Impacts of Alien Herbivorous Snails.

Authors:  Meng Xu; Xidong Mu; Jaimie T A Dick; Miao Fang; Dangen Gu; Du Luo; Jiaen Zhang; Jianren Luo; Yinchang Hu
Journal:  PLoS One       Date:  2016-01-15       Impact factor: 3.240

9.  Diseased prey predator model with general Holling type interactions.

Authors:  Banshidhar Sahoo; Swarup Poria
Journal:  Appl Math Comput       Date:  2013-11-12       Impact factor: 4.091

10.  Interactions between different predator-prey states: a method for the derivation of the functional and numerical response.

Authors:  Cecilia Berardo; Stefan Geritz; Mats Gyllenberg; Gaël Raoul
Journal:  J Math Biol       Date:  2020-05-17       Impact factor: 2.259

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.