J. Furze, J. Hill, Q. M. Zhu and F. Qiao, “Algorithms for the Characterisation of Plant Strategy Patterns on a Global Scale,” American Journal of Geographic Information System, Vol. 1, No. 3, 2012, pp. 72-99.

has been cited by the following article:

• TITLE: Functional Enrichment of Utopian Distribution of Plant Life-Forms

  AUTHORS: James N. Furze, Quanmin Zhu, Feng Qiao, Jennifer Hill

  KEYWORDS: Adaptive Neural Fuzzy Inference System; Plant Life-Form; Genetic Optimization; Stochastic; Utopia; Functional Approximation Algorithm

  JOURNAL NAME: American Journal of Plant Sciences, Vol.4 No.12A, November 12, 2013

  ABSTRACT: Adaptive fuzzy neural inference systems are used to illustrate the primary nodal number of plant life-forms. Categorization of two candidate areas is carried out using the water-energy dynamic (for Ecuador, South America) and Macedonia, Southern Europe), within which the life-form spectra are distributed. Genetic optimization methods are used to expand the primary nodal number to the complete number of life-form categories. The distribution of the elements exhibits a stochastic, binomial distribution and the utopia line and curve are summarized which enhance accuracy of the climatic data and of the consequent numbers of plant species occurrences. Expansion of the distribution of each life-form category is approximated within the Z utopia hyperplane with use of the functional approximation algorithm. This process gives additional structure and informative value to the Z plane, enhancing our ability to make informed policy decisions concerning species and ecosystem conservation.