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Predicting stump sprouting and competitive success of five oak species in southern IndianaAuthor(s): Dale R. Weigel; Chao-Ying Joanne Peng
Source: Canadian Journal of Forest Research. 32: 703-712.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
PDF: View PDF (901.37 KB)
DescriptionWe measured 2188 oak trees (Quercus spp.) on the Hoosier National Forest in southern Indiana before and 1, 5, and 10 years after clear-cutting to determine the influence of parent tree age, diameter breast height, and site index on the probability that there was one or more living sprouts per stump: (i) 1 year after clear-cutting (sprouting probability) or (ii) that were competitively successful 5 or 10 years after clear-cutting (competitive success probability). We used logistic regression to develop predictive models for five species in each of the three measurement years. Two species were in the white oak group: white oak (Quercus alba L.) and chestnut oak (Quercus prinus L.). Three species were in the red oak group: black oak (Quercus velutina Lam.), scarlet oak (Quercus coccinea Muenchh.), and northern red oak (Quercus rubra L.). Black oak site index ranged from 15 to 25 m at an index age of 50 years on the study sites. Parent tree age and diameter at breast height were significant predictors in all models. Sprouting and competitive success probabilities decreased with increasing parent tree age and diameter at breast height. Increasing site index was a significant contributor of increasing sprouting probabilities for year 1 and competitive success probabilities for year 5. By year 10, site index was negatively related to competitive success for the white oaks but was not a significant predictor for the red oaks. The models have practical value for predicting the stump sprouting potential of oak stands in southern Indiana and possibly in ecologically similar regions.
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CitationWeigel, Dale R.; Peng, Chao-Ying Joanne. 2002. Predicting stump sprouting and competitive success of five oak species in southern Indiana. Canadian Journal of Forest Research. 32: 703-712.
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