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Full-Text Articles in Life Sciences
Using Plant Functional Attributes To Quantify Site Productivity And Growth Patterns In Mixed Forests, Jerome K. Vanclay, A N. Gillison, Rod J. Keenan
Using Plant Functional Attributes To Quantify Site Productivity And Growth Patterns In Mixed Forests, Jerome K. Vanclay, A N. Gillison, Rod J. Keenan
Professor Jerome K Vanclay
Forest growth models are one of several important prerequisites for sustainable management. The complexity of tropical moist forest means that there is often little objective information to classify sites and species for growth modelling and yield prediction. Classification based on observable morphological characteristics may be a useful surrogate for, or supplement to other alternatives. This study investigated the utility of plant functional attributes (PFAs) for site and species classification. PFAs describe a plant in terms of its photosynthetic and vascular support system, and the sum of individual PFAs for all species on a plot provides an efficient summary of vegetation …
Compatible Deterministic And Stochastic Predictions By Probabilistic Modelling Of Individual Trees, Jerome K. Vanclay
Compatible Deterministic And Stochastic Predictions By Probabilistic Modelling Of Individual Trees, Jerome K. Vanclay
Professor Jerome K Vanclay
A single growth model can provide both deterministic and stochastic predictions which are compatible. Change may be expressed using probabilistic functions which can represent proportions of populations or probabilities for individuals. The former represents determinism while the latter enables the stochastic implementation. The same functional relationships may thus be used to generate compatible deterministic and stochastic predictions. All components of forest growth and change, including diameter increment, can be expressed as probabilistic functions, enabling construction of a single model which provides compatible stochastic and deterministic outcomes. Users may specify the minimum expansion factor corresponding to the simulated plot size and …