高山帯・亜高山帯植生と気候条件の統計的関連性

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Relationships between the distribution of mountain vegetation and climatic conditions in the Hokkaido region were analyzed using grid data and statistical analysis. Temperature, snow depth and precipitation conditions interactively affect the distribution of mountain vegetation, and changes in these conditions would influence it under climate change. In this study alpine and subalpine vegetation was analyzed in relation to climatic conditions, consisting of monthly temperature, snow depth and precipitation. Statistical analysis was done on the following groups: 1) alpine and subalpine vegetation types; 2) plant communities in the alpine vegetation; 3) plant functional types - evergreen coniferous and deciduous broad-leaved forest - in the subalpine vegetation. Based on results of histograms and discriminant analysis, the accumulated monthly maximum temperature in summer (AMTS) was statistically the most significant indicator influencing the distribution of the two vegetation types compared with other climatic conditions. The subalpine vegetation distribution was positively correlated with AMTS. For relationships between climatic conditions and the distribution of plant communities and plant functional types in the alpine and subalpine vegetation, the maximum snow depth (MSD) was more influential than other conditions. There was a significant positive correlation between the snow bed vegetation distribution and MSD in the alpine vegetation. The distribution of evergreen conifer- ous forest was negatively correlated with MSD in comparison with deciduous broad-leaved forest in the subalpine vegetation.
日本生態学会の論文
2002-04-30

高山帯・亜高山帯植生と気候条件の統計的関連性

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