An Artificial Life-Based Vegetation Modelling Approach for Biodiversity Research

Eugene Ch'ng

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    13 Citations (Scopus)
    148 Downloads (Pure)


    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.
    Original languageEnglish
    Title of host publicationNature-Inspired informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science and Engineering
    EditorsRaymond Chiong
    PublisherIGI Global
    Number of pages50
    ISBN (Electronic)9781605667065
    ISBN (Print)9781605667058
    Publication statusPublished - 2010


    Dive into the research topics of 'An Artificial Life-Based Vegetation Modelling Approach for Biodiversity Research'. Together they form a unique fingerprint.

    Cite this