Global Population Dynamics Drive the Phases of the Great Divergence and Convergence

2014 ◽  
Author(s):  
Andrey Korotayev ◽  
Jonas J. Nazimoff Shaende ◽  
Jack A. Goldstone
Keyword(s):  
Population Dynamics ◽  
Great Divergence ◽  
Global Population

scholarly journals Immature survival, fertility, and density dependence drive global population dynamics in a long‐lived species

Ecology ◽  
2018 ◽  
Vol 99 (12) ◽  
pp. 2823-2832 ◽  
Author(s):  
M. Genovart ◽  
D. Oro ◽  
S. Tenan
Keyword(s):  
Population Dynamics ◽  
Density Dependence ◽  
Global Population ◽  
Immature Survival

scholarly journals The promiscuous and highly mobile resistome of a superbug

2021 ◽  
Author(s):  
Ismael Hernández-González ◽  
Valeria Mateo-Estrada ◽  
Santiago Castillo-Ramírez
Keyword(s):  
Population Dynamics ◽  
Gene Content ◽  
Massive Data ◽  
Nosocomial Pathogen ◽  
Data Set ◽  
Massive Data Set ◽  
The Individual ◽  
Global Threat ◽  
And Control ◽  
Global Population

AbstractAntimicrobial resistance (AR) is a major global threat to public health. Understanding the population dynamics of AR is critical to restrain and control this issue. However, no study has provided a global picture of the resistome of Acinetobacter baumannii, a very important nosocomial pathogen. Here we analyze 1450+ genomes (covering > 40 countries and > 4 decades) to infer the global population dynamics of the resistome of this species. We show that gene flow and horizontal transfer have driven the dissemination of AR genes in A. baumannii. We found considerable variation in AR gene content across lineages. Although the individual AR gene histories have been affected by recombination, the AR gene content has been shaped by the phylogeny. Furthermore, many AR genes have been transferred to other well-known pathogens, such as Pseudomonas aeruginosa or Klebsiella pneumoniae. Finally, despite using this massive data set, we were not able to sample the whole diversity of AR genes, which suggests that this species has an open resistome. Ours results highlight the high mobilization risk of AR genes between important pathogens. On a broader perspective, this study gives a framework for an emerging perspective (resistome-centric) on the genome epidemiology (and surveillance) of bacterial pathogens.

scholarly journals Evidence for the Postconquest Demographic Collapse of the Americas in Historical CO2 Levels

2006 ◽  
Vol 10 (11) ◽  
pp. 1-14 ◽  
Author(s):  
Franz X. Faust ◽  
Cristóbal Gnecco ◽  
Hermann Mannstein ◽  
Jörg Stamm
Keyword(s):  
Population Dynamics ◽  
Strong Evidence ◽  
Ice Cores ◽  
Causal Chain ◽  
Atmospheric Co2 ◽  
Agricultural Fields ◽  
Native Populations ◽  
Co2 Levels ◽  
European Colonization ◽  
Global Population

Abstract This article promotes the hypothesis that the massive demographic collapse of the native populations of the Americas triggered by the European colonization brought about the abandonment of large expanses of agricultural fields soon recovered by forests, which in due turn fixed atmospheric CO2 in significant quantities. This hypothesis is supported by measurements of atmospheric CO2 levels in ice cores from Law Dome, Antarctica. Changing the focus from paleoclimate to global population dynamics and using the same causal chain, the measured drop in historic atmospheric CO2 levels can also be looked upon as further, strong evidence for the postconquest demographic collapse of the Americas.

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.

Cooperation in species: Interplay of population regulation and extinction through global population dynamics database

2015 ◽  
Vol 312 ◽  
pp. 150-165 ◽  
Author(s):  
Amiya Ranjan Bhowmick ◽  
Bapi Saha ◽  
Joydev Chattopadhyay ◽  
Santanu Ray ◽  
Sabyasachi Bhattacharya
Keyword(s):  
Population Dynamics ◽  
Population Regulation ◽  
Global Population

Investigating Long-Term Ecological Variability Using the Global Population Dynamics Database

Science ◽  
2001 ◽  
Vol 293 (5530) ◽  
pp. 655-657 ◽  
Author(s):  
P. Inchausti
Keyword(s):  
Population Dynamics ◽  
Ecological Variability ◽  
Global Population

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.

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