Species and spatial structure of tree stands in north-taiga pine-spruce forests at different stages of post-fire succession

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Abstract

The changes in the species structure of the tree layer of northern taiga dwarf shrub-green moss pine-spruce forests and the spatial distribution of the main forest-forming species, namely Picea obovata Ledeb., Pinus sylvestris L. and Betula pubescens Ehrh., in the process of post-fire succession are analyzed (using communities with a fire age of 80, 150 and 380 years as an example). It is established that the forest-forming species of the studied communities differ in the dynamics of participation in the composition of the forest stand during succession. In the late succession community with a fire age of 380 years, the participation of Siberian spruce, Scots pine and downy birch in the tree layer by the basal area differs insignificantly and is, respectively, 30, 43 and 27%, i.e. at the subclimax stage, the studied communities are essentially birch-pine-spruce. The spatial distribution of Scots pine and Siberian spruce in the first half of the succession can be random or weakly aggregated. In the subclimax community, the spatial distribution of these species naturally differs: Scots pine is distributed randomly, Siberian spruce has a small-group distribution. The distribution of downy birch trees through the succession is aggregated to varying degrees.

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About the authors

N. I. Stavrova

V. L. Komarov Botanical Institute of the Russian Academy of Sciences

Author for correspondence.
Email: NStavrova@binran.ru
Russian Federation, 2, Professor Popov St., Saint Petersburg, 197022

V. V. Gorshkov

V. L. Komarov Botanical Institute of the Russian Academy of Sciences; S.M. Kirov Saint Petersburg State Forest Engineering University

Email: NStavrova@binran.ru
Russian Federation, 2, Professor Popov St., Saint Petersburg, 197022; 5/U, Institutskiy All., Saint Petersburg, 194021

P. N. Katyutin

V. L. Komarov Botanical Institute of the Russian Academy of Sciences; Saint Petersburg State University

Email: NStavrova@binran.ru
Russian Federation, 2, Professor Popov St., Saint Petersburg, 197022; 7-9, Universitetskaya Emb., Saint Petersburg, 199034

A. Yu. Lyanguzov

Saint Petersburg State University

Email: NStavrova@binran.ru
Russian Federation, 7-9, Universitetskaya Emb., Saint Petersburg, 199034

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2. Fig. 1. Distribution of Picea obovata trees (a, c, e) in 5 × 5 m squares, and curves of the L(r) – r function (b, d, f) in the studied pine-spruce forests with a fire age of 80 (a, b), 150 (c, d) and 380 (e, f) years. X-axis: radius, m; Y-axis: value of the L(r) – r function. The number of individuals in squares is indicated by different hatching.

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3. Fig. 2. Distribution of Pinus sylvestris trees (a, c, e) in 5 × 5 m squares and L(r) – r function curves (b, d, f) in the studied pine-spruce forests with a fire age of 80 (a, b), 150 (c, d) and 380 (e, f) years. X-axis: radius, m; Y-axis: value of the L(r) – r function. The number of individuals in squares is indicated by different hatching.

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4. Fig. 3. Distribution of Betula pubescens trees (a, c, e) in 5 × 5 m squares and L(r) – r function curves (b, d, f) in the studied pine-spruce forests with a fire age of 80 (a, b), 150 (c, d) and 380 (e, f) years. X-axis: radius, m; Y-axis: value of the L(r) – r function. The number of individuals in squares is indicated by different hatching.

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