Boreal coniferous forest vegetation in the Solhomfjell area, S Norway: structure, dynamics and change, with particular reference to effects of long distance airborne pollution.
Publicado en línea: 10 ago 2021
Páginas: 1 - 40
DOI: https://doi.org/10.2478/som-1995-0001
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© 1995 R.H. Økland, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Seventeen original papers that are parts of, or spin-offs from, the TVLF project “Effects of long distance airborne pollution”, are summarized. All papers include data from the Solhomfjell reference area, a S Norwegian old-growth boreal coniferous forest with high deposition of long distance airborne pollution relative to other parts of Norway. Vegetation and environmental structure, population and vegetation dynamics, and vegetation change, was integrated by extensive use of the same sample sets. The nested sampling included 100 extended macro sample plots (64 m2) for tree species and 200 meso sample plots for the understory (1 m2; with 33 environmental variables measured and presence/absence of all species recorded in 16 subplots ). Species abundances were recorded in 50 meso plots all years 1988-93, while all 200 plots were analyzed in 1988 and 1993. Other sampling designs were used for three special studies in the Solhomfjell area. Population biology of
Gradient relationships of vegetation at the I m2 scale in the Solhomfjell area are summarized by DCA ordination. Three coenoclines are identified: (I) a broad-scale gradient from xeric, lichen-dominated pine forest via subxeric pine forest dominated by ericaceous species and poor,
Modular growth, branching patterns, and hence demography of the clonal moss
Advantages of an integrated approach to monitoring of boreal forests (including trees, understory and environment; the population, species and vegetation levels of organization; several spatial and temporal scales; and univariate as well as multivariate statistical methods) are emphasized. Data from other regions and longer time periods are needed to assess the extent of vegetation response to environmental change.