The importance of ecological modelling in structuring the Malaysian plant community

Mashhor M., . and Asyraf M., . (2003) The importance of ecological modelling in structuring the Malaysian plant community. [Proceedings Paper]

Based on the experience and also surveys of the Malaysian plant community it is fair to conclude that the plant distribution patterns are fundamentally followed the statistical pattern distributions which can be fitted in an ecological modelling concept. The rich diversity of plants in tropical rain forest are randomly distributed mean m variance v. Perhaps an interaction between variety of plant species based on species-abundance relations can be quantitatively described by a log-normal distribution. The uniform plant distribution patterns m bigger than v are recorded only in agro-ecosystems such as rubber and oil palm plantations and also transplanted rice field systems. Whereas plant community in disturbed sites or open habitats are mainly clumpingly distributed m smaller than v. In this case a zonation between species affinities and habitats can be established. Ecological entities and functionalities both nature-centric and anthropocentric are mediated through ecological phenomena and processes. Their complexities limit description and quantification to small fragmented windows in time space and scale. Nevertheless the overall enveloping-frame of energy and matter cycles entrain ecological processes which can be dissected in a holistic or systems approach manner to elucidate relationships between ecological variables. The revolution in information Communication Technology ICT enhances modelling of ecological processes beyond the realms of mathematical and statistical domains to those of multimedia simulation animation and robotics. Despite the availability of super-calculation and super-iteration capabilities of micro silicon chips ecological modelling imperates fundamental researches which yield statistics and parameters of the ecological entities anf functionalities. Subsequently the ensuing modelling simulation and multimediation enable close examination identification relationship-association diagnosis-of-demarcation and prediction of ecologicalprocesses. Hence ecological interactions in a continuum of time space and matters at varied and varying parameters can be generated. As a consequence visualisation products can be refined to mimic micro and macro-ecological processes in time space and scale. The ensuing downstream societal and industrial benefits are nebulous. Examples from my own researches and other related studies in various ecosystems are presented in order to highlight the perspectives imperatives and prospectives of ecological modelling.

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Abstract

Based on the experience and also surveys of the Malaysian plant community it is fair to conclude that the plant distribution patterns are fundamentally followed the statistical pattern distributions which can be fitted in an ecological modelling concept. The rich diversity of plants in tropical rain forest are randomly distributed mean m variance v. Perhaps an interaction between variety of plant species based on species-abundance relations can be quantitatively described by a log-normal distribution. The uniform plant distribution patterns m bigger than v are recorded only in agro-ecosystems such as rubber and oil palm plantations and also transplanted rice field systems. Whereas plant community in disturbed sites or open habitats are mainly clumpingly distributed m smaller than v. In this case a zonation between species affinities and habitats can be established. Ecological entities and functionalities both nature-centric and anthropocentric are mediated through ecological phenomena and processes. Their complexities limit description and quantification to small fragmented windows in time space and scale. Nevertheless the overall enveloping-frame of energy and matter cycles entrain ecological processes which can be dissected in a holistic or systems approach manner to elucidate relationships between ecological variables. The revolution in information Communication Technology ICT enhances modelling of ecological processes beyond the realms of mathematical and statistical domains to those of multimedia simulation animation and robotics. Despite the availability of super-calculation and super-iteration capabilities of micro silicon chips ecological modelling imperates fundamental researches which yield statistics and parameters of the ecological entities anf functionalities. Subsequently the ensuing modelling simulation and multimediation enable close examination identification relationship-association diagnosis-of-demarcation and prediction of ecologicalprocesses. Hence ecological interactions in a continuum of time space and matters at varied and varying parameters can be generated. As a consequence visualisation products can be refined to mimic micro and macro-ecological processes in time space and scale. The ensuing downstream societal and industrial benefits are nebulous. Examples from my own researches and other related studies in various ecosystems are presented in order to highlight the perspectives imperatives and prospectives of ecological modelling.

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Item Type:	Proceedings Paper
Additional Information:	Summary only En
AGROVOC Term:	COMPUTER APPLICATIONS
AGROVOC Term:	MODELS
AGROVOC Term:	ECOLOGY
AGROVOC Term:	PLANT ECOLOGY
AGROVOC Term:	ECOSYSTEMS
AGROVOC Term:	DATA COLLECTION
AGROVOC Term:	DATA ANALYSIS
AGROVOC Term:	MALAYSIA
Geographical Term:	MALAYSIA
Depositing User:	Ms. Norfaezah Khomsan
Last Modified:	24 Apr 2025 05:27
URI:	http://webagris.upm.edu.my/id/eprint/16067

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