Literature DB >> 11467423

Testing for predator dependence in predator-prey dynamics: a non-parametric approach.

C Jost1, S P Ellner.   

Abstract

The functional response is a key element in all predator-prey interactions. Although functional responses are traditionally modelled as being a function of prey density only, evidence is accumulating that predator density also has an important effect. However, much of the evidence comes from artificial experimental arenas under conditions not necessarily representative of the natural system, and neglecting the temporal dynamics of the organism (in particular the effects of prey depletion on the estimated functional response). Here we present a method that removes these limitations by reconstructing the functional response non-parametrically from predator-prey time-series data. This method is applied to data on a protozoan predator-prey interaction, and we obtain significant evidence of predator dependence in the functional response. A crucial element in this analysis is to include time-lags in the prey and predator reproduction rates, and we show that these delays improve the fit of the model significantly. Finally, we compare the non-parametrically reconstructed functional response to parametric forms, and suggest that a modified version of the Hassell-Varley predator interference model provides a simple and flexible function for theoretical investigation and applied modelling.

Mesh:

Year:  2000        PMID: 11467423      PMCID: PMC1690717          DOI: 10.1098/rspb.2000.1186

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  3 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.  Identifying predator-prey processes from time-series.

Authors:  C Jost; R Arditi
Journal:  Theor Popul Biol       Date:  2000-06       Impact factor: 1.570

  3 in total
  15 in total

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2.  Revealing Complex Ecological Dynamics via Symbolic Regression.

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Journal:  Bioessays       Date:  2019-10-16       Impact factor: 4.345

3.  Reconsidering the importance of the past in predator-prey models: both numerical and functional responses depend on delayed prey densities.

Authors:  Jiqiu Li; Andy Fenton; Lee Kettley; Phillip Roberts; David J S Montagnes
Journal:  Proc Biol Sci       Date:  2013-08-07       Impact factor: 5.349

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Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-10       Impact factor: 11.205

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Journal:  Exp Appl Acarol       Date:  2017-05-19       Impact factor: 2.132

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Journal:  Imeta       Date:  2022-03-01

7.  Size-dependent Catalysis of Chlorovirus Population Growth by A Messy Feeding Predator.

Authors:  John P DeLong; Zeina Al-Ameeli; Shelby Lyon; James L Van Etten; David D Dunigan
Journal:  Microb Ecol       Date:  2017-11-08       Impact factor: 4.552

8.  Fluctuating interaction network and time-varying stability of a natural fish community.

Authors:  Masayuki Ushio; Chih-Hao Hsieh; Reiji Masuda; Ethan R Deyle; Hao Ye; Chun-Wei Chang; George Sugihara; Michio Kondoh
Journal:  Nature       Date:  2018-02-07       Impact factor: 49.962

9.  Mutual interference is common and mostly intermediate in magnitude.

Authors:  John P Delong; David A Vasseur
Journal:  BMC Ecol       Date:  2011-01-06       Impact factor: 2.964

10.  Cryptic population dynamics: rapid evolution masks trophic interactions.

Authors:  Takehito Yoshida; Stephen P Ellner; Laura E Jones; Brendan J M Bohannan; Richard E Lenski; Nelson G Hairston
Journal:  PLoS Biol       Date:  2007-09       Impact factor: 8.029

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