Modeling the effect of population pressure on the dynamics of carbon dioxide gas

To understand the effect of population pressure (demand of population for forestry trees and land) on the atmospheric level of carbon dioxide gas, a nonlinear model is formulated and analyzed. In formulating the model, four dynamical variables namely; concentration of carbon dioxide, human population, population pressure and forest biomass are considered. In the modeling process, it is assumed that the atmospheric level of carbon dioxide gas increases naturally as well as through anthropogenic emission. Further, it depletes naturally and due to its uptake by the forestry biomass. Moreover, it is assumed that both the human population and forestry biomass follow logistic growth and the population pressure reduces only the carrying capacity of forestry biomass, which decreases the absorption rate of $$\hbox {CO}_2$$ by forests. Feasibility and stability of equilibria are discussed. Analytical findings demonstrate that as deforestation rate due to human population crosses a critical value, the system destabilizes and oscillations arise through Hopf-bifurcation. Also, it is found that transcritical bifurcation takes place between two equilibria. Our analysis reveals that as the reduction rate coefficient due to population pressure increases, the forestry biomass decreases and the concentration of carbon dioxide increases. Numerical simulation is performed, which supports analytical findings. It is also noted that the dynamics of $$\hbox {CO}_2$$ is much affected by anthropogenic emissions but the impact of deforestation due to population pressure can not be ignored.

[1]  B. Dubey,et al.  Modelling effects of industrialization, population and pollution on a renewable resource , 2010 .

[2]  A. Shi,et al.  The impact of population pressure on global carbon dioxide emissions, 1975-1996: evidence from pooled cross-country data , 2003 .

[3]  K. Tennakone Stability of the biomass-carbon dioxide equilibrium in the atmosphere: mathematical model , 1990 .

[4]  J. B. Shukla,et al.  Modelling the depletion of forestry resources by population and population pressure augmented industrialization , 2009 .

[5]  A. Misra,et al.  Modeling the impact of mitigation options on abatement of methane emission from livestock , 2017 .

[6]  Modeling the dynamics of carbon dioxide removal in the atmosphere , 2014 .

[7]  Balram Dubey Modelling the depletion and conservation of resources: Effects of two interacting populations , 1997 .

[8]  A. K. Misra,et al.  A mathematical model to study the dynamics of carbon dioxide gas in the atmosphere , 2013, Appl. Math. Comput..

[9]  Alessio Alexiadis,et al.  Global warming and human activity : A model for studying the potential instability of the carbon dioxide/temperature feedback mechanism , 2007 .

[10]  Kusum Lata,et al.  A mathematical model to achieve sustainable forest management , 2015, Int. J. Model. Simul. Sci. Comput..

[11]  Carlos Castillo-Chavez,et al.  Dynamical models of tuberculosis and their applications. , 2004, Mathematical biosciences and engineering : MBE.

[12]  M. Cropper,et al.  The Interaction of Population Growth and Environmental Quality , 1994 .

[13]  N. Gupta,et al.  Comparative study of the effects of different growths of vegetation biomass on CO2 in crisp and fuzzy environments , 2020, Natural Resource Modeling.

[14]  T. Yoneyama,et al.  An optimized policy for the reduction of CO2 emission in the Brazilian Legal Amazon , 2011 .

[15]  K. Onozaki Population Is a Critical Factor for Global Carbon Dioxide Increase , 2009 .

[16]  Kusum Lata,et al.  Effects of population and population pressure on forest resources and their conservation: a modeling study , 2014, Environment, Development and Sustainability.

[17]  G M Woodwell,et al.  Global Deforestation: Contribution to Atmospheric Carbon Dioxide , 1983, Science.

[18]  J. B. Shukla,et al.  A Mathematical Model for the Depletion of forestry Resources due to Population and Population pressure Augmented Industrialization , 2014, Int. J. Model. Simul. Sci. Comput..