Abstract

This paper establishes a nonlinear carbon cycle model based on the analysis of the carbon flux relationship among the atmosphere cycle, soil cycle and land cycle. By using nonlinear dynamics method, we examine the regional carbon cycle evolution along with the temporal evolution of the regional carbon flux. A neural network has been employed to identify the parameters of the proposed model, accordingly. In the numerical study, we propose the atmosphere-soil-land cycle model for Nanjing city of China. Then, the carbon cycle evolution of Nanjing has been simulated with the given model and actual data.

Highlights

  • The carbon cycle system and its mechanism are the main contents of the Global Change and Terrestrial Ecosystem (GCTE), as well as many other core research plans in the International Geosphere-Biosphere Program (IGBP)

  • Hypothesis 2: the regional internal carbon flux is determined by the carbon flow of three cycles in the region

  • Based on the carbon flux relationship among the atmosphere cycle, soil cycle and land cycle, from Figure 1 and System (1), we can obtain the equivalent form of System (1)

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Summary

Introduction

The carbon cycle system and its mechanism are the main contents of the Global Change and Terrestrial Ecosystem (GCTE), as well as many other core research plans in the International Geosphere-Biosphere Program (IGBP). Measuring the level of the carbon source and sink is helpful for understanding the CO2 evolution, and offering the theoretical basis for the regulation and control of global climate change. Regarding China’s regional terrestrial ecosystem carbon system, establishing China’s regional carbon cycle evolution model will contribute to the identification of China’s regional carbon cycle system state, the analysis of the terrestrial carbon cycle mechanism, as well as policy making for carbon emission. The research shows in detail the exchange process of China’s regional carbon sink/source and its influence. It helps to understand the interaction and relationship of various factors and the impact of human activities, as well as to maintain the continuous and stable development of the terrestrial ecosystem by regulating human activities and adjusting the carbon cycle system. It is important to study the features, structure and evolution of China’s regional carbon cycle and carbon balance in order to realize the sustainable development of China’s regional ecological environment system

Literature Review
The Construction of the Model
Parameter Estimation Based on the Neural Network Method
Discretization and Parameters Identification
Equilibrium Point
Bifurcation Analysis for a Single Parameter
Numeric Simulation Results and Analysis
Conclusions
Stability of the Equilibrium Point

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