Markov chain methods in the study of a hardwood forest dynamics in northeastern United States
1993
Minoletti O, M Loreto (Concepcion Univ., Chillan (Chile). Dept. de Ciencias Basicas) | Boerner, R.E.J.
The Markov Chain Model was used to predict forest canopy composition changes over the next three generations for the Hardwood Forest in the Bohannan Scientific Preserve (Delaware Co., Ohio, U.S.A.). Two methods were compared: the Orthodox and the Heterodox, both with and without age adjustment. Data of actual gap-filler and gap-maker were collected. Results indicate a great importance in adjusting probabilities for age in both methods, which appeared to be more accurate. Differences in the predictions of both methods indicate that although the Heterodox is potentially more exact, the Orthodox method showed a more probable trend in the canopy composition changes for this forest. The advantages of each model are also discussed
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