Literature DB >> 27688596

A Biomass Flow Approach to Population Models and Food Webs.

Wayne M Getz1.   

Abstract

The dominant differential equation paradigm for modeling the population dynamics of species interacting in the framework of a food web retains at its core the basic prey-predator and competition models formulation by Alfred J. Lotka (1880-1945) and Vito Volterra (1860-1940) nearly nine decades ago. This paradigm lacks a trophic-level-independent formulation of population growth leading to ambiguities in how to treat populations that are simultaneously both prey and predator. Also, this paradigm does not fundamentally include inertial (i.e. change resisting) processes needed to account for the response of populations to fluctuating resource environments. Here I present an approach that corrects both these deficits and provides a unified framework for accounting for biomass transformation in food webs that include both live and dead components of all species in the system. This biomass transformation formulation (BTW) allows for a unified treatment of webs that include consumers of both live and dead material-both carnivores and carcasivores, herbivores and detritivores-and incorporates scavengers, parasites, and other neglected food web consumption categories in a coherent manner. I trace how BTW is an outgrowth of the metaphysiological growth modeling paradigm and I provide a general compact formulation of BTW in terms of a three-variable differential equation formulation for each species in the food web: viz. live biomass, dead biomass, and a food-intake-related measure called deficit-stress. I then illustrate the application of this new paradigm to provide insights into two-species competition in variable environments and discuss application of BTW to food webs that incorporate parasites and pathogens.

Entities:  

Keywords:  Holling; Lotka-Volterra; competition; consumer-resource; functional response; host-parasite; pathogen dynamics; plant-herbivore; prey-predator; scavenger; trophic models

Year:  2012        PMID: 27688596      PMCID: PMC5038133          DOI: 10.1111/j.1939-7445.2011.00101.x

Source DB:  PubMed          Journal:  Nat Resour Model        ISSN: 0890-8575            Impact factor:   1.182


  23 in total

1.  Simple rules yield complex food webs.

Authors:  R J Williams; N D Martinez
Journal:  Nature       Date:  2000-03-09       Impact factor: 49.962

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

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

3.  Stabilization of large generalized Lotka-Volterra foodwebs by evolutionary feedback.

Authors:  G J Ackland; I D Gallagher
Journal:  Phys Rev Lett       Date:  2004-10-08       Impact factor: 9.161

4.  Advantage of storage in a fluctuating environment.

Authors:  B W Kooi; T A Troost
Journal:  Theor Popul Biol       Date:  2006-08-10       Impact factor: 1.570

5.  Chaotic oscillations and cycles in multi-trophic ecological systems.

Authors:  Lewi Stone; Daihai He
Journal:  J Theor Biol       Date:  2007-05-25       Impact factor: 2.691

6.  Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations.

Authors:  Eloy Revilla; Thorsten Wiegand
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-05       Impact factor: 11.205

7.  The economics of overexploitation.

Authors:  C W Clark
Journal:  Science       Date:  1973-08-17       Impact factor: 47.728

8.  Accommodating environmental variation in population models: metaphysiological biomass loss accounting.

Authors:  Norman Owen-Smith
Journal:  J Anim Ecol       Date:  2011-02-24       Impact factor: 5.091

9.  Biomass transformation webs provide a unified approach to consumer-resource modelling.

Authors:  Wayne M Getz
Journal:  Ecol Lett       Date:  2010-12-27       Impact factor: 9.492

Review 10.  Disease and the dynamics of food webs.

Authors:  Wayne M Getz
Journal:  PLoS Biol       Date:  2009-09-29       Impact factor: 8.029

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  1 in total

1.  Persistence and size of seasonal populations on a consumer-resource relationship depends on the allocation strategy toward life-history functions.

Authors:  Rodrigo Gutiérrez; Fernando Córdova-Lepe; Felipe N Moreno-Gómez; Nelson A Velásquez
Journal:  Sci Rep       Date:  2020-12-08       Impact factor: 4.379

  1 in total

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