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Site Index Curves for Abies borisii-regis Mattf. and Fagus sylvatica L. Mixed Stands in Central Greece

Author

Listed:
  • Georgios Dais

    (Department of Forestry and Management of the Environment and Natural Resources, Faculty of Agriculture and Forestry, Democritus University, Pantazidou 193, 68200 Orestiada, Greece)

  • Kyriaki Kitikidou

    (Department of Forestry and Management of the Environment and Natural Resources, Faculty of Agriculture and Forestry, Democritus University, Pantazidou 193, 68200 Orestiada, Greece)

  • Elias Milios

    (Department of Forestry and Management of the Environment and Natural Resources, Faculty of Agriculture and Forestry, Democritus University, Pantazidou 193, 68200 Orestiada, Greece)

Abstract

Despite their productivity, fir and beech forests in Greece lack site index curves. In this work, site index curves for Fagus sylvatica and Abies borisii-regis in central Greece were developed. Thirty plots were randomly established in the mixed stands of F. sylvatica–A. borisii-regis in Aspropotamos, central Greece, and two dominant trees, one from each species, were randomly selected and cut. Height–age measurements were collected through stem analysis. These data were used to develop site index curves for each species. The site index curves illustrate a growth rate difference between the two species, specifically in the worst sites, with fir growing faster than beech. Additionally, as trees age, the growth difference between the two species in the best sites decreases. Based on these results, F. sylvatica is found to be more site-sensitive than A. borisii-regis . In the new adverse conditions of global warming, an increased knowledge of the site sensitivity of the two species will help to develop appropriate treatments for the conservation of the studied mixed stands, or at least to minimize negative impacts.

Suggested Citation

  • Georgios Dais & Kyriaki Kitikidou & Elias Milios, 2023. "Site Index Curves for Abies borisii-regis Mattf. and Fagus sylvatica L. Mixed Stands in Central Greece," Sustainability, MDPI, vol. 15(13), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10349-:d:1183849
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    Cited by:

    1. Weifang Gao & Chen Dong & Yuhao Gong & Shuai Ma & Jiahui Shen & Shangqin Lin, 2023. "Site Quality Evaluation Model of Chinese Fir Plantations for Machine Learning and Site Factors," Sustainability, MDPI, vol. 15(21), pages 1-20, November.

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