Predicting site index from climatic, edaphic, and stand structural properties for seven plantation-grown conifer species in Quebec

Author:

Beaulieu Jean1,Raulier Frédéric2,Prégent Guy3,Bousquet Jean2

Affiliation:

1. Natural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, 1055 du PEPS, P.O. Box 10380, Stn. Sainte-Foy, Quebec, QC G1V 4C7, Canada.

2. Centre d’étude de la forêt, Faculté de foresterie, de géographie et de géomatique, Université Laval, 2405 rue de la Terrasse, Québec, QC G1V 0A6, Canada.

3. Ministère des Ressources naturelles et de la Faune du Québec, Direction de la recherche forestière, 2800 rue Einstein, Québec, QC G1P 3W8, Canada.

Abstract

Models were built to relate site index to biophysical variables and stand structure for seven conifer species grown in plantation. Reduced models without stand structure were also derived to allow the prediction of site index even when information on the stand is unavailable. Biophysical variables tested were degree-days, aridity, summer precipitation, vapour pressure deficit, and soil water-holding capacity. The stand structure was accounted for using a Shannon evenness index of diameter at breast height distribution. Both full and reduced models had low to moderate R2 values and were slightly biased for most of the species. The results indicate that while correlations between phytometric and biophysical site indices are rather weak, those between plantation yield predicted using both indices and volume observed in the field are reasonably high (above 0.80). The biophysical site index models derived in this study could be used for strategic planning to estimate plantation yield or allowable cut for each of the seven conifer species.

Publisher

Canadian Science Publishing

Subject

Ecology,Forestry,Global and Planetary Change

Reference36 articles.

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2. Baize, D. 1988. Guide des analyses courantes en pédologie. Institut National de Recherche Agronomique, Paris, France.

3. Height-growth and site-index curves for jack pine in north central Ontario

4. Draper, N.R., and Smith, H. 1998. Applied regression analysis. 3rd ed. John Wiley & Sons, Inc., New York.

5. Dunne, T., and Leopold, L.B. 1978. Water in environmental planning. W.H. Freeman and Co., San Francisco, Calif.

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