Literature DB >> 18724718

Estimating nonlinear interaction strengths: an observation-based method for species-rich food webs.

Mark Novak1, J Timothy Wootton.   

Abstract

Efforts to estimate the strength of species interactions in species-rich, reticulate food webs have been hampered by the multitude of direct and indirect interactions such systems exhibit and have been limited by an assumption that pairwise interactions display linear functional forms. Here we present a new method for directly measuring, on a per capita basis, the nonlinear strength of trophic species interactions within such food webs. This is an observation-based method, requiring three pieces of information: (1) species abundances, (2) predator and prey-specific handling times, and (3) data from predator-specific feeding surveys in which the number of individuals observed feeding on each of the predator's prey species has been tallied. The method offers a straightforward way to assess the completeness of one's sampling effort in accurately estimating interaction strengths through the construction of predator-specific prey accumulation curves. The method should be applicable to a variety of systems in which empirical estimates of direct interaction strengths have thus far remained elusive.

Mesh:

Year:  2008        PMID: 18724718     DOI: 10.1890/08-0033.1

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


  5 in total

1.  Trophic omnivory across a productivity gradient: intraguild predation theory and the structure and strength of species interactions.

Authors:  Mark Novak
Journal:  Proc Biol Sci       Date:  2013-07-17       Impact factor: 5.349

2.  Bayesian characterization of uncertainty in species interaction strengths.

Authors:  Christopher Wolf; Mark Novak; Alix I Gitelman
Journal:  Oecologia       Date:  2017-04-19       Impact factor: 3.225

3.  Specific non-monotonous interactions increase persistence of ecological networks.

Authors:  Chuan Yan; Zhibin Zhang
Journal:  Proc Biol Sci       Date:  2014-01-29       Impact factor: 5.349

4.  Merging resource availability with isotope mixing models: the role of neutral interaction assumptions.

Authors:  Justin D Yeakel; Mark Novak; Paulo R Guimarães; Nathaniel J Dominy; Paul L Koch; Eric J Ward; Jonathan W Moore; Brice X Semmens
Journal:  PLoS One       Date:  2011-07-07       Impact factor: 3.240

5.  Quantifying predator functional responses under field conditions reveals interactive effects of temperature and interference with sex and stage.

Authors:  Kyle E Coblentz; Amber Squires; Stella Uiterwaal; John P Delong
Journal:  J Anim Ecol       Date:  2022-04-22       Impact factor: 5.606

  5 in total

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