Comparison of a cellular automata network and an individual-based model for the simulation of forest dynamics

نویسندگان

  • Christophe Lett
  • Catherine Silber
  • Nicolas Barret
چکیده

Our goal is to model and simulate forest dynamics in order to observe large-scale characteristics of the forest as they emerge from local competitive interplay among individuals. This objective can be reached by developing a spatial gap model. Spatialisation can be achieved from a spaceor individual-oriented perspective. Because the choice of one approach over the other leads to consequences affecting the simulated dynamics that are difficult to assess a priori, we have decided to consider both and have thus developed two models: a cellular automata network and an individual-based model. Both models are simulated and respective temporal and spatial dynamics are analysed. Although simulation results are similar, some differences highlight underlying assumptions of each conceptual approach. The manner in which the two models complement each other is all the more interesting in that each one has its particular assets and can be used for different perspectives of development. © 1999 Elsevier Science B.V. All rights reserved.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Edge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

متن کامل

Edge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

متن کامل

Simulation of Future Land Use Map of the Catchment Area, with the Integration of Cellular Automata and Markov Chain Models Based on Selection of the Best Classification Algorithm: A Case Study of Fakhrabad Basin of Mehriz, Yazd

INTRODUCTION Since the land use change affects many natural processes including soil erosion and sediment yield, floods and soil degradation and the chemical and physical properties of soil, so, different aspects of land use changes in the past and future should be considered particularly in the planning and decision-making. One of the most important applications of remote sensing is land ...

متن کامل

Design of low power random number generators for quantum-dot cellular automata

Quantum-dot cellular automata (QCA) are a promising nanotechnology to implement digital circuits at the nanoscale. Devices based on QCA have the advantages of faster speed, lower power consumption, and greatly reduced sizes. In this paper, we are presented the circuits, which generate random numbers in QCA.  Random numbers have many uses in science, art, statistics, cryptography, gaming, gambli...

متن کامل

Cellular Automata Simulation of a Bistable Reaction-Diffusion System: Microscopic and Macroscopic Approaches

The Cellular Automata method has been used to simulate the pattern formation of the Schlögl model as a bistable Reaction-Diffusion System. Both microscopic and macroscopic Cellular Automata approaches have been considered and two different methods for obtaining the probabilities in the microscopic approach have been mentioned. The results show the tendency of the system towards the more sta...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999