Welcome to the InfoSci Platform
Reference Hub5
An Artificial Life-Based Vegetation Modelling Approach for Biodiversity Research

An Artificial Life-Based Vegetation Modelling Approach for Biodiversity Research

Eugene Ch’ng
Copyright: © 2010 |Pages: 51
ISBN13: 9781605667058|ISBN10: 1605667056|ISBN13 Softcover: 9781616924188|EISBN13: 9781605667065
DOI: 10.4018/978-1-60566-705-8.ch004
Cite Chapter Cite Chapter

MLA

Ch’ng, Eugene. "An Artificial Life-Based Vegetation Modelling Approach for Biodiversity Research." Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering, edited by Raymond Chiong, IGI Global, 2010, pp. 68-118. https://doi.org/10.4018/978-1-60566-705-8.ch004

APA

Ch’ng, E. (2010). An Artificial Life-Based Vegetation Modelling Approach for Biodiversity Research. In R. Chiong (Ed.), Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering (pp. 68-118). IGI Global. https://doi.org/10.4018/978-1-60566-705-8.ch004

Chicago

Ch’ng, Eugene. "An Artificial Life-Based Vegetation Modelling Approach for Biodiversity Research." In Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering, edited by Raymond Chiong, 68-118. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-705-8.ch004

Export Reference

Mendeley
Favorite

Abstract

The complexity of nature can only be solved by nature’s intrinsic problem-solving approach. Therefore, the computational modelling of nature requires careful observations of its underlying principles in order that these laws can be abstracted into formulas suitable for the algorithmic configuration. This chapter proposes a novel modelling approach for biodiversity informatics research. The approach is based on the emergence phenomenon for predicting vegetation distribution patterns in a multi-variable ecosystem where Artificial Life-based vegetation grow, compete, adapt, reproduce and conquer plots of landscape in order to survive their generation. The feasibility of the modelling approach presented in this chapter may provide a firm foundation not only for predicting vegetation distribution in a wide variety of landscapes, but could also be extended for studying biodiversity and the loss of animal species for sustainable management of resources.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.