A simulation study of hardwood rootstock populations in young loblolly pine plantations
Article Abstract:
A computer program to simulate spatial distribution of hardwood rootstock populations is presented. Nineteen 3 to 6 year-old loblolly pine (Pinus taeda L.) plantations in Alabama and Georgia were measured to provide information for the simulator. Spatial pattern, expressed as Pielou's nonrandomness index (PNI), ranged from 0.47 to 2.45. Scatterplots illustrated no relationship between pattern, species relative density, site preparation, or stand age. Newnham's point pattern generator was modified to reduce execution time. Equations to predict program inputs as a function of PNI and desired number points were developed for uniform, random, and randomly clumped populations. Total rootstock height distribution was fitted using a two-parameter, left- and right-truncated Weibull function. Crown area was determined conditionally by total rootstock height. The simulator may be used to generate populations for evaluating different sampling methods for hardwood rootstock attributes or in individual tree growth and yield models. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1988
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Simulation and object-oriented programming: the development of SERB
Article Abstract:
An object-oriented programming language (OOPL), Flavors, was used to implement a modeling language and ancillary simulation tools designed specifically to meet the needs of research biologists. A biological system is typically considered as a set of interacting entities, an abstraction which closely matches the programming paradigm of Flavors programming are presented. Then SERB (the Simulation Environment for Research Biologists) is described. SERB uses Flavor objects to represent biological entities, resulting in a high degree of transparency between between model and simuland. The simulationist creates model components from a library of component types and defines a model as some interacting set of these components. These models can then be used in simulations or by higher level functions, such as sensitivity analysis. Flavors was found to be an ideal language for implementing modeling and simulation software for this domain. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1988
User Contributions:
Comment about this article or add new information about this topic:
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