Modelling the factors predisposing Scots pine to moose damage in artificially regenerated sapling stands in Finnish Lapland

Moose (Alces alces) damage in forest plantations have been at a high level in Finland in recent decades. Nowadays, moose is the most severe pest in Scots pine plantations also in Finnish Lapland. So far, despite the high level of damage and different bio-geographical conditions in Northern Finland,...

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Published in:Silva Fennica
Main Authors: Nikula, Ari, Hallikainen, Ville, Jalkanen, Risto, Hyppönen, Mikko, Mäkitalo, Kari
Format: Article in Journal/Newspaper
Language:English
Published: Finnish Society of Forest Science 2008
Subjects:
Online Access:https://doi.org/10.14214/sf.235
https://doaj.org/article/087507ed79f24207affb2c4ec038f46f
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spelling ftdoajarticles:oai:doaj.org/article:087507ed79f24207affb2c4ec038f46f 2023-05-15T13:13:36+02:00 Modelling the factors predisposing Scots pine to moose damage in artificially regenerated sapling stands in Finnish Lapland Nikula, Ari Hallikainen, Ville Jalkanen, Risto Hyppönen, Mikko Mäkitalo, Kari 2008-01-01T00:00:00Z https://doi.org/10.14214/sf.235 https://doaj.org/article/087507ed79f24207affb2c4ec038f46f EN eng Finnish Society of Forest Science https://www.silvafennica.fi/article/235 https://doaj.org/toc/2242-4075 2242-4075 doi:10.14214/sf.235 https://doaj.org/article/087507ed79f24207affb2c4ec038f46f Silva Fennica, Vol 42, Iss 4 (2008) Forestry SD1-669.5 article 2008 ftdoajarticles https://doi.org/10.14214/sf.235 2023-01-08T01:26:33Z Moose (Alces alces) damage in forest plantations have been at a high level in Finland in recent decades. Nowadays, moose is the most severe pest in Scots pine plantations also in Finnish Lapland. So far, despite the high level of damage and different bio-geographical conditions in Northern Finland, most of the moose-damage research has been carried out in Southern Finland. A number of research have also been performed to analyse factors affecting browsing but predictive models are rare. Data from 123 randomly selected and artificially regenerated pine plantations in Northern Finland were used in modelling the risk of moose browsing. The stands had been regenerated during 1984â1995. A total of 508 sample plots (range 2â8 plots per stand) were measured. Hierarchical logistic regression models with a random factor were constructed to predict the probability of leader-shoot browsing of pine on a plot. The number of planted pines and deciduous trees overtopping the pines were the most important predictors increasing the browsing probability. The results support earlier findings that deciduous trees overtopping or reaching the height of the pines should be cleaned from the immediate vicinity of the pines. Seedlings with a height ranging from 75 to 299 centimetres were more susceptible to browsing. Heavy soil scarification, such as ploughing or mounding, increased the browsing probability compared with lighter scarification methods. Soil type did not affect the browsing probability, but paludification decreased it. The within-stand variation in deciduous trees density and height should be taken into account in future moose browsing risk assessments. In Lapland, high moose damage risk areas are characterized by a low elevation and higher temperature sum. Article in Journal/Newspaper Alces alces Northern Finland Lapland Directory of Open Access Journals: DOAJ Articles Silva Fennica 42 4
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Forestry
SD1-669.5
spellingShingle Forestry
SD1-669.5
Nikula, Ari
Hallikainen, Ville
Jalkanen, Risto
Hyppönen, Mikko
Mäkitalo, Kari
Modelling the factors predisposing Scots pine to moose damage in artificially regenerated sapling stands in Finnish Lapland
topic_facet Forestry
SD1-669.5
description Moose (Alces alces) damage in forest plantations have been at a high level in Finland in recent decades. Nowadays, moose is the most severe pest in Scots pine plantations also in Finnish Lapland. So far, despite the high level of damage and different bio-geographical conditions in Northern Finland, most of the moose-damage research has been carried out in Southern Finland. A number of research have also been performed to analyse factors affecting browsing but predictive models are rare. Data from 123 randomly selected and artificially regenerated pine plantations in Northern Finland were used in modelling the risk of moose browsing. The stands had been regenerated during 1984â1995. A total of 508 sample plots (range 2â8 plots per stand) were measured. Hierarchical logistic regression models with a random factor were constructed to predict the probability of leader-shoot browsing of pine on a plot. The number of planted pines and deciduous trees overtopping the pines were the most important predictors increasing the browsing probability. The results support earlier findings that deciduous trees overtopping or reaching the height of the pines should be cleaned from the immediate vicinity of the pines. Seedlings with a height ranging from 75 to 299 centimetres were more susceptible to browsing. Heavy soil scarification, such as ploughing or mounding, increased the browsing probability compared with lighter scarification methods. Soil type did not affect the browsing probability, but paludification decreased it. The within-stand variation in deciduous trees density and height should be taken into account in future moose browsing risk assessments. In Lapland, high moose damage risk areas are characterized by a low elevation and higher temperature sum.
format Article in Journal/Newspaper
author Nikula, Ari
Hallikainen, Ville
Jalkanen, Risto
Hyppönen, Mikko
Mäkitalo, Kari
author_facet Nikula, Ari
Hallikainen, Ville
Jalkanen, Risto
Hyppönen, Mikko
Mäkitalo, Kari
author_sort Nikula, Ari
title Modelling the factors predisposing Scots pine to moose damage in artificially regenerated sapling stands in Finnish Lapland
title_short Modelling the factors predisposing Scots pine to moose damage in artificially regenerated sapling stands in Finnish Lapland
title_full Modelling the factors predisposing Scots pine to moose damage in artificially regenerated sapling stands in Finnish Lapland
title_fullStr Modelling the factors predisposing Scots pine to moose damage in artificially regenerated sapling stands in Finnish Lapland
title_full_unstemmed Modelling the factors predisposing Scots pine to moose damage in artificially regenerated sapling stands in Finnish Lapland
title_sort modelling the factors predisposing scots pine to moose damage in artificially regenerated sapling stands in finnish lapland
publisher Finnish Society of Forest Science
publishDate 2008
url https://doi.org/10.14214/sf.235
https://doaj.org/article/087507ed79f24207affb2c4ec038f46f
genre Alces alces
Northern Finland
Lapland
genre_facet Alces alces
Northern Finland
Lapland
op_source Silva Fennica, Vol 42, Iss 4 (2008)
op_relation https://www.silvafennica.fi/article/235
https://doaj.org/toc/2242-4075
2242-4075
doi:10.14214/sf.235
https://doaj.org/article/087507ed79f24207affb2c4ec038f46f
op_doi https://doi.org/10.14214/sf.235
container_title Silva Fennica
container_volume 42
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