AA Juliano

AB Hollowed

ARE Sinclair

B Etheridge

C Asseburg

C Jost

Carmen Fernández

Christian Asseburg

CS Holling

D Schenk

DA Perry

DJ Lunn

EE Plaganyi

F Messier

Frederick R. Adler

GE Forrester

GW Roemer

H MacCallum

I Hanski

J Chesson

J Harwood

J Matthiopoulos

J Terborgh

Jason Matthiopoulos

JC Gascoigne

John Harwood

JS Link

KR Crooks

LA Real

LF New

M Conover

M Koen-Alonso

M Mangel

M Solomon

Murdoch

N Picozzi

NL Christensen

p Turchin

P Yodzis

PA Abrams

R Hilborn

R King

RM May

RW Zabel

S Redpath

S Smout

Simon Thirgood

SJ Thirgood

SM Redpath

Sophie Smout

Stephen Redpath

TE Essington

U Lindstrom

W Gentleman

WW Murdoch

PLoS ONE

English

PubMed

BACKGROUND: Predators can have profound impacts on the dynamics of their prey that depend on how predator consumption is affected by prey density (the predator's functional response). Consumption by a generalist predator is expected to depend on the densities of all its major prey species (its multispecies functional response, or MSFR), but most studies of generalists have focussed on their functional response to only one prey species. METHODOLOGY AND PRINCIPAL FINDINGS: Using Bayesian methods, we fit an MSFR to field data from an avian predator (the hen harrier Circus cyaneus) feeding on three different prey species. We use a simple graphical approach to show that ignoring the effects of alternative prey can give a misleading impression of the predator's effect on the prey of interest. For example, in our system, a "predator pit" for one prey species only occurs when the availability of other prey species is low. CONCLUSIONS AND SIGNIFICANCE: The Bayesian approach is effective in fitting the MSFR model to field data. It allows flexibility in modelling over-dispersion, incorporates additional biological information into the parameter priors, and generates estimates of uncertainty in the model's predictions. These features of robustness and data efficiency make our approach ideal for the study of long-lived predators, for which data may be sparse and management/conservation priorities pressing

Directory of Open Access Journals

The functional response of a generalist predator.

Predators can have profound impacts on the dynamics of their prey that depend on how predator consumption is affected by prey density (the predator's functional response). Consumption by a generalist predator is expected to depend on the densities of all its major prey species (its multispecies functional response, or MSFR), but most studies of generalists have focussed on their functional response to only one prey species.) feeding on three different prey species. We use a simple graphical approach to show that ignoring the effects of alternative prey can give a misleading impression of the predator's effect on the prey of interest. For example, in our system, a “predator pit” for one prey species only occurs when the availability of other prey species is low.The Bayesian approach is effective in fitting the MSFR model to field data. It allows flexibility in modelling over-dispersion, incorporates additional biological information into the parameter priors, and generates estimates of uncertainty in the model's predictions. These features of robustness and data efficiency make our approach ideal for the study of long-lived predators, for which data may be sparse and management/conservation priorities pressing

Smout Sophie

Asseburg Christian

Matthiopoulos Jason

Fernández Carmen

Redpath Stephen

Thirgood Simon

Harwood John

Public Library of Science (PLOS)

The Functional Response of a Generalist Predator

&lt;p&gt;Background: Predators can have profound impacts on the dynamics of their prey that depend on how predator consumption is affected by prey density (the predator's functional response). Consumption by a generalist predator is expected to depend on the densities of all its major prey species (its multispecies functional response, or MSFR), but most studies of generalists have focussed on their functional response to only one prey species.&lt;/p&gt;



&lt;p&gt;Methodology and principal findings: Using Bayesian methods, we fit an MSFR to field data from an avian predator (the hen harrier Circus cyaneus) feeding on three different prey species. We use a simple graphical approach to show that ignoring the effects of alternative prey can give a misleading impression of the predator's effect on the prey of interest. For example, in our system, a “predator pit” for one prey species only occurs when the availability of other prey species is low.&lt;/p&gt;



&lt;p&gt;Conclusions and significance: The Bayesian approach is effective in fitting the MSFR model to field data. It allows flexibility in modelling over-dispersion, incorporates additional biological information into the parameter priors, and generates estimates of uncertainty in the model's predictions. These features of robustness and data efficiency make our approach ideal for the study of long-lived predators, for which data may be sparse and management/conservation priorities pressing.&lt;/p&gt

Smout, S.

Asseburg, C.

Matthiopoulos, J.

Fernández, C.

Redpath, S.

Thirgood, S.

Harwood, J.

Enlighten

The functional response of a generalist predator

Crossref

Background: Predators can have profound impacts on the dynamics of their prey that depend on how predator consumption is affected by prey density (the predator's functional response). Consumption by a generalist predator is expected to depend on the densities of all its major prey species (its multispecies functional response, or MSFR), but most studies of generalists have focussed on their functional response to only one prey species.Methodology and principal findings: Using Bayesian methods, we fit an MSFR to field data from an avian predator (the hen harrier Circus cyaneus) feeding on three different prey species. We use a simple graphical approach to show that ignoring the effects of alternative prey can give a misleading impression of the predator's effect on the prey of interest. For example, in our system, a “predator pit” for one prey species only occurs when the availability of other prey species is low.Conclusions and significance: The Bayesian approach is effective in fitting the MSFR model to field data. It allows flexibility in modelling over-dispersion, incorporates additional biological information into the parameter priors, and generates estimates of uncertainty in the model's predictions. These features of robustness and data efficiency make our approach ideal for the study of long-lived predators, for which data may be sparse and management/conservation priorities pressing

Smout, Sophie Caroline

Asseburg, C

Matthiopoulos, Jason

Fernández, Carmen

Redpath, S

Thirgood, S

Harwood, John

University of St. Andrews - Pure

Smout, Sophie

Asseburg, Christian

Fernandez, Carmen

Redpath, Stephen

Thirgood, Simon

Aberdeen University Research

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https://research-repository.st-andrews.ac.uk/bitstream/10023/3269/1/SmoutPLOSone0010761Predator.pdf

The functional response of a generalist predator

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Directory of Open Access Journals

Public Library of Science (PLOS)

Enlighten

Crossref

Public Library of Science (PLOS)

University of St. Andrews - Pure

University of St. Andrews - Pure

Aberdeen University Research