POPULATION DYNAMICS
                                 Analysis, Modelling, Forecast

 

 

 

 

 

……………………………………………………………………………………………………………………………………………………..................................................................................

 

ISSN: 2335-2566

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Home

 

      In various domains of modern science one can find the similar population processes with similar regulative mechanisms and with close goals of scientific investigations. In physics it can be a population of elementary particles. In chemistry it can be a process of interaction of molecules. In biophysics and biochemistry it can be a process of the growth of colony of cells, process of ferment – substratum interaction etc. The similar processes we have in biology/ecology (populations of various animals and plants), in economics, demography, epidemiology, medicine (cancer growth, human health) and so on. 
       Moreover, for description and analysis of various population processes sometimes we use one and the same mathematical models (stochastic processes, ordinary differential equations, maps, partial differential equations…). We have one and the same goals: to determine a phase space structure and structure of space of model parameters, to estimate the probability of population extinction etc. And we have one and the same common problems: we want to find the best mathematical apparatus for the description of population processes, to have good methods for estimation of model parameters using population time series, and to have good statistical criterions for the analysis of deviations between theory and experiment…
      But in modern science we have a lot of artificial barriers and these barriers lead to appearance of problematic situations. It is obvious that you cannot find a paper in biological journal which is devoted to analysis of population process in physics of elementary particles. And it can be explained: if you want to present results in biological journal you have to explain what kind of biological problem you want to solve and what kind of biological results you got in a result of provided analysis. The inverse situation is obvious too: it is difficult to find pure biological paper in a journal which is devoted to physics of elementary particles.
 
      In a result of it we have duplication or multiplication of providing scientific investigations, multiplication of names for one and the same equations and models, and, finally, total misunderstanding between scientists. It is a good example: even in ecology (!) we have several names for one model of population dynamics with discrete time – Beverton – Holt model, Skellam model, Kostitzin model.
       The main goal of new scientific open-access e-journal is following:
      To bring together new results on population dynamics from various parts of modern science for better understanding between specialists from different scientific domains.

 

 

 

About journal

 

 

 

 

Aims and Scope

 

 

 

 

Instructions for Authors

 

 

 

 

Editorial Board

 

 

 

 

Current Issue

 

 

 

 

Archive

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

             
             
             
             
             
               
 

……………………………………………………………………………………………………………………………………………………..................................................................................…………………………………………………

  © 2012-2020 Population Dynamics: Analysis, Modelling, Forecast. All rights reserved.
       

Mirror:

  http://popdynamf.ung.si/  
  CONTACTS: Vipavska 13, Nova Gorica, Slovenia SI-5000  
               
  tel.: +386-41-200-185     E-mail:      
  tel.: +386-(0)5-3315-299     popdynamf@gmail.com      
  Fax: +386-(0)5-3315-385     info@popdynamf.com      
        l.v.nedorezov@gmail.com      
               
               
               
               
               
Locations of visitors to this page