Journal Article10.1007/S11284-006-0152-3
Geostatistical analysis of regional differences in stem taper form of Pinus densiflora in central Korea
Woo-Kyun Lee,Greg S. Biging,Yowhan Son,Woo Hyuk Byun,Kyeong Hak Lee,Yeong Mo Son,Jeong Ho Seo +6 more
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TL;DR: In this paper, the authors verified regional differences in the stem form of Pinus densiflora Sieb. (red pine) and identified the relationship between stem form and climatic factors in the central region of the Korean peninsula.
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Abstract: This study verified regional differences in the stem form of Pinus densiflora Sieb. et Zucc. (red pine) and identified the relationship between stem form and climatic factors in the central region of the Korean peninsula. Regional differences in stem form index at tree base (butt) and top stem section were found. Compared to the stem form in the eastern uplands, the stem form in the western lowlands could be characterized by a more conical butt section and more cylindrical middle and upper section. Through geostatistical analysis of kriging and spatial regression, several climatic factors proved to exert a meaningful influence on stem taper form. On the stem form at the butt section, the precipitation during the late growing season exerts statistically significant effects. High precipitation during the growing season in the western lowland and coastal region causes the stem form at the butt section to be more tapered. On the stem form at the middle and upper section, temperature and precipitation during the growing season, and wind during the late growing season have statistically meaningful influences. High temperature, precipitation, and wind during the growing season in the western lowland and coastal region jointly influence the stem form at the middle and upper sections which result in more cylindrical profiles. This study can be considered an initial investigation into the factors controlling stem form variability in the central region of the Korean peninsula. The results can be used to develop more accurate regional stem taper models needed for reasonable management of red pine stands in different regions.
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References
•Book
Geostatistics for Environmental Scientists
Richard Webster,Margaret A. Oliver +1 more
- 12 Mar 2001
TL;DR: In this article, the Covariance and Variogram were used to model the spatial process of spatial processes and predict local estimation or prediction in the presence of trend and factorial Kriging.
2.8K
Plants and Microclimate, A Quantitative Approach to Environmental Plant Physiology
Hamlyn G. Jones
- 01 Dec 2013
TL;DR: A quantitative approach to plant-environment interactions is presented in this paper, where a quantitative approach is used to quantify the plant's environment interactions, including radiation, heat, mass and momentum transfer, energy balance and evaporation.
2.2K
Geostatistics for Environmental Scientists
TL;DR: In this paper, the Covariance and Variogram were used to model the spatial process of spatial processes and predict local estimation or prediction in the presence of trend and factorial Kriging.
2K