Global warming description using Daisyworld model with greenhouse gases

Susana L D Paiva; Marcelo A Savi; Flavio M Viola; Albino J K Leiroz

doi:10.1016/j.biosystems.2014.09.008

Global warming description using Daisyworld model with greenhouse gases

Biosystems. 2014 Nov:125:1-15. doi: 10.1016/j.biosystems.2014.09.008. Epub 2014 Sep 16.

Authors

Susana L D Paiva¹, Marcelo A Savi², Flavio M Viola³, Albino J K Leiroz⁴

Affiliations

¹ Universidade Federal do Rio de Janeiro, COPPE - Department of Mechanical Engineering, P.O. Box 68.503, 21.941.972 Rio de Janeiro, Brazil. Electronic address: supaiva@gmail.com.
² Universidade Federal do Rio de Janeiro, COPPE - Department of Mechanical Engineering, P.O. Box 68.503, 21.941.972 Rio de Janeiro, Brazil. Electronic address: savi@mecanica.ufrj.br.
³ Universidade Federal do Rio de Janeiro, COPPE - Department of Mechanical Engineering, P.O. Box 68.503, 21.941.972 Rio de Janeiro, Brazil. Electronic address: fmviola@gmail.com.
⁴ Universidade Federal do Rio de Janeiro, COPPE - Department of Mechanical Engineering, P.O. Box 68.503, 21.941.972 Rio de Janeiro, Brazil. Electronic address: leiroz@mecanica.ufrj.br.

PMID: 25236841
DOI: 10.1016/j.biosystems.2014.09.008

Abstract

Daisyworld is an archetypal model of the earth that is able to describe the global regulation that can emerge from the interaction between life and environment. This article proposes a model based on the original Daisyworld considering greenhouse gases emission and absorption, allowing the description of the global warming phenomenon. Global and local analyses are discussed evaluating the influence of greenhouse gases in the planet dynamics. Numerical simulations are carried out showing the general qualitative behavior of the Daisyworld for different scenarios that includes solar luminosity variations and greenhouse gases effect. Nonlinear dynamics perspective is of concern discussing a way that helps the comprehension of the global warming phenomenon.

Keywords: Carbon cycle; Daisyworld; Ecology; Global warming; Nonlinear dynamics.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Carbon Cycle*
Computer Simulation
Global Warming*
Greenhouse Effect*
Models, Theoretical*
Nonlinear Dynamics
Population Dynamics
Sunlight
Temperature