Modelling the effect of moose Alces alces population density and regional forest structure on the amount of damage in forest seedling stands

BACKGROUND: Moose (Alces alces L.) populations and moose damage in forests are debated in Nordic countries with dense moose populations. Moose populations and food resources vary greatly, both spatially and temporally, and reliable data covering both variables simultaneously at the same scale have s...

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Main Authors: Nikula, Ari, Matala, Juho, Hallikainen, Ville, Pusenius, Jyrki, Ihalainen, Antti, Kukko, Tuomas, Korhonen, Kari T
Other Authors: orcid:0000-0001-8372-8440, 4100110810, 4100111010, 4100310510, Luonnonvarakeskus
Format: Article in Journal/Newspaper
Language:English
Published: Published for SCI by Wiley
Subjects:
Online Access:https://jukuri.luke.fi/handle/10024/546460
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author Nikula, Ari
Matala, Juho
Hallikainen, Ville
Pusenius, Jyrki
Ihalainen, Antti
Kukko, Tuomas
Korhonen, Kari T
author2 orcid:0000-0001-8372-8440
4100110810
4100111010
4100310510
Luonnonvarakeskus
author_facet Nikula, Ari
Matala, Juho
Hallikainen, Ville
Pusenius, Jyrki
Ihalainen, Antti
Kukko, Tuomas
Korhonen, Kari T
author_sort Nikula, Ari
collection Natural Resources Institute Finland: Jukuri
description BACKGROUND: Moose (Alces alces L.) populations and moose damage in forests are debated in Nordic countries with dense moose populations. Moose populations and food resources vary greatly, both spatially and temporally, and reliable data covering both variables simultaneously at the same scale have seldom been available. We modelled the effect of moose population density and forest resources on the area of moose damage at regional scale, referring to moose management areas (MMA). For-est data and moose damage data originated from the Finnish National Forest Inventory, and the moose population data came from a Bayesian moose model. For modelling, average values of moose population, damage and forest variables were calculated for the periods 2004–2008 and 2009–2013 for each MMA. The MMAs were further classified into one of four larger geographical zones. The area of moose damage was used as a dependent variable, and the proportions of different types off forests and moose population densities per land area or area of seedling stands as explanatory variables. The relationships were modelled with a linear mixed-effects model with an exponential spatial correlation structure. RESULTS: The area of moose damage was best explained by total forest area, proportions of plantations and mature forests, and moose population density per land area or the proportion of plantations. There were differences among the biogeographical zones in how different variables explained the amount of damage. CONCLUSION: The results provide tools for analyzing the regional effects of moose population density and the amount of food resources on the amount of moose damage. This information can be used in reconciling sustainable moose population levels and the amount of damage. 2020
format Article in Journal/Newspaper
genre Alces alces
Hirvi
genre_facet Alces alces
Hirvi
id ftluke:oai:jukuri.luke.fi:10024/546460
institution Open Polar
language English
op_collection_id ftluke
op_relation Pest management science
10.1002/ps.6081
1526-498X
1526-4998
ps.6081
https://jukuri.luke.fi/handle/10024/546460
URN:NBN:fi-fe2020110589356
op_rights CC BY 4.0
publisher Published for SCI by Wiley
record_format openpolar
spelling ftluke:oai:jukuri.luke.fi:10024/546460 2025-01-16T18:44:32+00:00 Modelling the effect of moose Alces alces population density and regional forest structure on the amount of damage in forest seedling stands Nikula, Ari Matala, Juho Hallikainen, Ville Pusenius, Jyrki Ihalainen, Antti Kukko, Tuomas Korhonen, Kari T orcid:0000-0001-8372-8440 4100110810 4100111010 4100310510 Luonnonvarakeskus true https://jukuri.luke.fi/handle/10024/546460 en eng Published for SCI by Wiley Pest management science 10.1002/ps.6081 1526-498X 1526-4998 ps.6081 https://jukuri.luke.fi/handle/10024/546460 URN:NBN:fi-fe2020110589356 CC BY 4.0 Alces alces forestry Moose damage Modelling hirvi hirvituhot hirvikanta publication fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research| fi=Publisher's version|sv=Publisher's version|en=Publisher's version| ftluke 2023-09-12T20:27:42Z BACKGROUND: Moose (Alces alces L.) populations and moose damage in forests are debated in Nordic countries with dense moose populations. Moose populations and food resources vary greatly, both spatially and temporally, and reliable data covering both variables simultaneously at the same scale have seldom been available. We modelled the effect of moose population density and forest resources on the area of moose damage at regional scale, referring to moose management areas (MMA). For-est data and moose damage data originated from the Finnish National Forest Inventory, and the moose population data came from a Bayesian moose model. For modelling, average values of moose population, damage and forest variables were calculated for the periods 2004–2008 and 2009–2013 for each MMA. The MMAs were further classified into one of four larger geographical zones. The area of moose damage was used as a dependent variable, and the proportions of different types off forests and moose population densities per land area or area of seedling stands as explanatory variables. The relationships were modelled with a linear mixed-effects model with an exponential spatial correlation structure. RESULTS: The area of moose damage was best explained by total forest area, proportions of plantations and mature forests, and moose population density per land area or the proportion of plantations. There were differences among the biogeographical zones in how different variables explained the amount of damage. CONCLUSION: The results provide tools for analyzing the regional effects of moose population density and the amount of food resources on the amount of moose damage. This information can be used in reconciling sustainable moose population levels and the amount of damage. 2020 Article in Journal/Newspaper Alces alces Hirvi Natural Resources Institute Finland: Jukuri
spellingShingle Alces alces
forestry
Moose damage
Modelling
hirvi
hirvituhot
hirvikanta
Nikula, Ari
Matala, Juho
Hallikainen, Ville
Pusenius, Jyrki
Ihalainen, Antti
Kukko, Tuomas
Korhonen, Kari T
Modelling the effect of moose Alces alces population density and regional forest structure on the amount of damage in forest seedling stands
title Modelling the effect of moose Alces alces population density and regional forest structure on the amount of damage in forest seedling stands
title_full Modelling the effect of moose Alces alces population density and regional forest structure on the amount of damage in forest seedling stands
title_fullStr Modelling the effect of moose Alces alces population density and regional forest structure on the amount of damage in forest seedling stands
title_full_unstemmed Modelling the effect of moose Alces alces population density and regional forest structure on the amount of damage in forest seedling stands
title_short Modelling the effect of moose Alces alces population density and regional forest structure on the amount of damage in forest seedling stands
title_sort modelling the effect of moose alces alces population density and regional forest structure on the amount of damage in forest seedling stands
topic Alces alces
forestry
Moose damage
Modelling
hirvi
hirvituhot
hirvikanta
topic_facet Alces alces
forestry
Moose damage
Modelling
hirvi
hirvituhot
hirvikanta
url https://jukuri.luke.fi/handle/10024/546460