Five year vitality changes in an old-growth Scots pine (Pinus sylvestris) forest with a mixed and uneven-aged understorey

Zwieniecki, Maciej A.; Tarasiuk, S.

doi:10.1016/0378-1127(93)90150-l

Cited by 2 publications

(1 citation statement)

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“…The transect has been established in 1980 to analyze the dynamics of the social structure of natural regeneration of Scots pine under the canopy of old trees (Tarasiuk and Zwieniecki 1990) and vitality structure of the understory (Zwieniecki and Tarasiuk 1993). We decided to use the data collected over 14-year period to conduct spatial analysis of changes in trees distribution despite rather unfortunately stretched study plot.…”

Section: Measurements and Data Collectionmentioning

confidence: 99%

Species-specific spatial structure, species coexistence and mortality pattern in natural, uneven-aged Scots pine (Pinus sylvestris L.)-dominated forest

Szmyt

Tarasiuk

2017

Eur J Forest Res

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alder and common birch, the initial aggregated pattern was maintained over the examined 14-year period of the forest succession. Bivariate analysis showed that the most common interspecific association between pairs of tree species was spatial segregation (pine vs. alder, alder vs. birch and oak vs. birch) followed by spatial independence (pine vs. oak and oak vs. alder). The positive association was stated only for pine and birch and only for certain spatial scales (> 5 m). Simultaneously, at small distances they showed reciprocal repulsion. Changes in spatial relationships between tree species were negligible over 14-year period of forest succession. Our results confirmed the density-dependent mortality process in the uneven-aged Scots pine-dominated forest over 14-year period of forest development. Our study showed that spatial interactions between individuals along with speciesspecific ecological requirements should be incorporated into realistic models of forest development, helping to manage the forest ecosystems toward their greater structural complexity.

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Section: Measurements and Data Collectionmentioning

confidence: 99%