scholarly journals Having your cake and eating it: A modelling framework to combine process-based population dynamics and dispersal simulation

2011 ◽  
Keyword(s):  
Population Dynamics ◽  
Combine Process ◽  
Modelling Framework

scholarly journals Unpacking the Allee effect: determining individual-level mechanisms that drive global population dynamics

2020 ◽  
Vol 476 (2241) ◽  
pp. 20200350
Author(s):  
Nabil T. Fadai ◽  
Stuart T. Johnston ◽  
Matthew J. Simpson
Keyword(s):  
Population Dynamics ◽  
Cell Biology ◽  
Allee Effect ◽  
Local Density ◽  
Growth Models ◽  
Logistic Growth ◽  
Allee Effects ◽  
Individual Level ◽  
Modelling Framework ◽  
Global Population

We present a solid theoretical foundation for interpreting the origin of Allee effects by providing the missing link in understanding how local individual-based mechanisms translate to global population dynamics. Allee effects were originally proposed to describe population dynamics that cannot be explained by exponential and logistic growth models. However, standard methods often calibrate Allee effect models to match observed global population dynamics without providing any mechanistic insight. By introducing a stochastic individual-based model, with proliferation, death and motility rates that depend on local density, we present a modelling framework that translates particular global Allee effects to specific individual-based mechanisms. Using data from ecology and cell biology, we unpack individual-level mechanisms implicit in an Allee effect model and provide simulation tools for others to repeat this analysis.

Pathogen population dynamics in agricultural landscapes: The Ddal modelling framework

2014 ◽  
Vol 27 ◽  
pp. 509-520 ◽  
Author(s):  
Julien Papaïx ◽  
Katarzyna Adamczyk-Chauvat ◽  
Annie Bouvier ◽  
Kiên Kiêu ◽  
Suzanne Touzeau ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Agricultural Landscapes ◽  
Pathogen Population ◽  
Modelling Framework

scholarly journals Unpacking the Allee effect: determining individual-level mechanisms that drive global population dynamics

2019 ◽  
Author(s):  
Nabil T. Fadai ◽  
Stuart T. Johnston ◽  
Matthew J. Simpson
Keyword(s):  
Population Dynamics ◽  
Cell Biology ◽  
Allee Effect ◽  
Local Density ◽  
Growth Models ◽  
Logistic Growth ◽  
Allee Effects ◽  
Individual Level ◽  
Modelling Framework ◽  
Global Population

AbstractWe present a solid theoretical foundation for interpreting the origin of Allee effects by providing the missing link in understanding how local individual-based mechanisms translate to global population dynamics. Allee effects were originally proposed to describe population dynamics that cannot be explained by exponential and logistic growth models. However, standard methods often calibrate Allee effect models to match observed global population dynamics without providing any mechanistic insight. By introducing a stochastic individual-based model, with proliferation, death, and motility rates that depend on local density, we present a modelling framework that translates particular global Allee effects to specific individual-based mechanisms. Using data from ecology and cell biology, we unpack individual-level mechanisms implicit in an Allee effect model and provide simulation tools for others to repeat this analysis.

scholarly journals Species with more volatile population dynamics are differentially impacted by weather

2015 ◽  
Vol 11 (2) ◽  
pp. 20140792 ◽  
Author(s):  
Joshua G. Harrison ◽  
Arthur M. Shapiro ◽  
Anne E. Espeset ◽  
Christopher C. Nice ◽  
Joshua P. Jahner ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Southern Oscillation ◽  
Weather Conditions ◽  
Climatic Variation ◽  
Butterfly Species ◽  
Bayesian Modelling ◽  
Volatile Species ◽  
Modelling Framework ◽  
Stable Species ◽  
Abiotic Interactions

Climatic variation has been invoked as an explanation of population dynamics for a variety of taxa. Much work investigating the link between climatic forcings and population fluctuation uses single-taxon case studies. Here, we conduct comparative analyses of a multi-decadal dataset describing population dynamics of 50 co-occurring butterfly species at 10 sites in Northern California. Specifically, we explore the potential commonality of response to weather among species that encompass a gradient of population dynamics via a hierarchical Bayesian modelling framework. Results of this analysis demonstrate that certain weather conditions impact volatile, or irruptive, species differently as compared with relatively stable species. Notably, precipitation-related variables, including indices of the El Niño Southern Oscillation, have a more pronounced impact on the most volatile species. We hypothesize that these variables influence vegetation resource availability, and thus indirectly influence population dynamics of volatile taxa. As one of the first studies to show a common influence of weather among taxa with similar population dynamics, the results presented here suggest new lines of research in the field of biotic–abiotic interactions.

A Measurement Modelling Framework for Complex Working Memory Models

2011 ◽  
Author(s):  
Klaus Oberauer ◽  
Jarrold Chris ◽  
Farrell Simon ◽  
Lewandowsky Stephan
Keyword(s):  
Working Memory ◽  
Memory Models ◽  
Modelling Framework ◽  
Working Memory Models
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