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A computer model of succession and fire response of the high‐altitude Eucalyptus forest of the Brindabella Range, Australian Capital Territory
Author(s) -
SHUGART H. H.,
NOBLE I. R.
Publication year - 1981
Publication title -
australian journal of ecology
Language(s) - English
Resource type - Journals
eISSN - 1442-9993
pISSN - 0307-692X
DOI - 10.1111/j.1442-9993.1981.tb01286.x
Subject(s) - ecological succession , sclerophyll , range (aeronautics) , altitude (triangle) , basal area , vegetation (pathology) , ecology , eucalyptus , environmental science , physical geography , geography , biology , mathematics , mediterranean climate , medicine , materials science , geometry , pathology , composite material
The BRIND model, a computer model of the high altitude forests in the Brindabella Range near Canberra (Australian Capital Territory), is documented and the results of a series of tests on the model are provided. The BRIND model simulates a 1/12 ha forest stand by computing the growth of each individual tree in the stand. It considers establishment and death of trees on a tree‐by‐tree basis using stochastic functions. The model also simulates the effects of prescribed fire and wildfire on the forests. The model presently is restricted to southeasterly facing slopes (moist, sheltered situations) above 850 m in altitude. The BRIND model is tested in four ways: (1) A single example simulation (for 500years) is inspected for agreement with stand dynamics in wet sclerophyll forests. (2) By varying wildfire frequency, the model is used to develop a succession diagram for forests in the alpine ash (E. delegatensis) zone of the Brindabella Range. This diagram is considered in terms of the successional patterns described for this ecological zone.(3) By subjecting the model to different climatic conditions and wildfire frequencies, a simulated altitude zonation is developed. This simulated pattern of forest types is compared with the extant forest types in the Brindabella Range.(4) The model is tested on its ability to duplicate basal area, stocking density, and average diameters for different age stands found in an independent data set.The model was found to simulate patterns of vegetation that resemble those of the forests of the Brindabella Range in both space and time. The successional pattern was found to be complex and to differ from classic theories of succession originating with Clements. Potential model applications are discussed