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Cost‐effective age structure and geographical distribution of boreal forest reserves

1. Forest reserves are established to preserve biodiversity, and to maintain natural functions and processes. Today there is heightened focus on old‐growth stages, with less attention given to early successional stages. The biodiversity potential of younger forests has been overlooked, and the cost‐...

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Autores principales: Lundström, Johanna, Öhman, Karin, Perhans, Karin, Rönnqvist, Mikael, Gustafsson, Lena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412213/
https://www.ncbi.nlm.nih.gov/pubmed/22879680
http://dx.doi.org/10.1111/j.1365-2664.2010.01897.x
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author Lundström, Johanna
Öhman, Karin
Perhans, Karin
Rönnqvist, Mikael
Gustafsson, Lena
author_facet Lundström, Johanna
Öhman, Karin
Perhans, Karin
Rönnqvist, Mikael
Gustafsson, Lena
author_sort Lundström, Johanna
collection PubMed
description 1. Forest reserves are established to preserve biodiversity, and to maintain natural functions and processes. Today there is heightened focus on old‐growth stages, with less attention given to early successional stages. The biodiversity potential of younger forests has been overlooked, and the cost‐effectiveness of incorporating different age classes in reserve networks has not yet been studied. 2. We performed a reserve selection analysis in boreal Sweden using the Swedish National Forest Inventory plots. Seventeen structural variables were used as biodiversity indicators, and the cost of protecting each plot as a reserve was assessed using the Heureka system. A goal programming approach was applied, which allowed inclusion of several objectives and avoided a situation in which common indicators affected the result more than rare ones. The model was limited either by budget or area. 3. All biodiversity indicators were found in all age classes, with more than half having the highest values in ages ≥ 100 years. Several large‐tree indicators and all deadwood indicators had higher values in forests 0–14 years than in forests 15–69 years. 4. It was most cost‐effective to protect a large proportion of young forests since they generally have a lower net present value compared to older forests, but still contain structures of importance for biodiversity. However, it was more area‐effective to protect a large proportion of old forests since they have a higher biodiversity potential per area. 5. The geographical distribution of reserves selected with the budget‐constrained model was strongly biassed towards the north‐western section of boreal Sweden, with a large proportion of young forest, whereas the area‐constrained model focussed on the south‐eastern section, with dominance by the oldest age class. 6.  Synthesis and applications. We show that young forests with large amounts of structures important to biodiversity such as dead wood and remnant trees are cheap and cost‐efficient to protect. This suggests that reserve networks should incorporate sites with high habitat quality of different forest ages. Since young forests are generally neglected in conservation, our approach is of interest also to other forest biomes where biodiversity is adapted to disturbance regimes resulting in open, early successional stages.
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spelling pubmed-34122132012-08-07 Cost‐effective age structure and geographical distribution of boreal forest reserves Lundström, Johanna Öhman, Karin Perhans, Karin Rönnqvist, Mikael Gustafsson, Lena J Appl Ecol Protected Area Design 1. Forest reserves are established to preserve biodiversity, and to maintain natural functions and processes. Today there is heightened focus on old‐growth stages, with less attention given to early successional stages. The biodiversity potential of younger forests has been overlooked, and the cost‐effectiveness of incorporating different age classes in reserve networks has not yet been studied. 2. We performed a reserve selection analysis in boreal Sweden using the Swedish National Forest Inventory plots. Seventeen structural variables were used as biodiversity indicators, and the cost of protecting each plot as a reserve was assessed using the Heureka system. A goal programming approach was applied, which allowed inclusion of several objectives and avoided a situation in which common indicators affected the result more than rare ones. The model was limited either by budget or area. 3. All biodiversity indicators were found in all age classes, with more than half having the highest values in ages ≥ 100 years. Several large‐tree indicators and all deadwood indicators had higher values in forests 0–14 years than in forests 15–69 years. 4. It was most cost‐effective to protect a large proportion of young forests since they generally have a lower net present value compared to older forests, but still contain structures of importance for biodiversity. However, it was more area‐effective to protect a large proportion of old forests since they have a higher biodiversity potential per area. 5. The geographical distribution of reserves selected with the budget‐constrained model was strongly biassed towards the north‐western section of boreal Sweden, with a large proportion of young forest, whereas the area‐constrained model focussed on the south‐eastern section, with dominance by the oldest age class. 6.  Synthesis and applications. We show that young forests with large amounts of structures important to biodiversity such as dead wood and remnant trees are cheap and cost‐efficient to protect. This suggests that reserve networks should incorporate sites with high habitat quality of different forest ages. Since young forests are generally neglected in conservation, our approach is of interest also to other forest biomes where biodiversity is adapted to disturbance regimes resulting in open, early successional stages. Blackwell Publishing Ltd 2011-02 2010-11-26 /pmc/articles/PMC3412213/ /pubmed/22879680 http://dx.doi.org/10.1111/j.1365-2664.2010.01897.x Text en © 2010 The Authors. Journal of Applied Ecology © 2010 British Ecological Society Open access.
spellingShingle Protected Area Design
Lundström, Johanna
Öhman, Karin
Perhans, Karin
Rönnqvist, Mikael
Gustafsson, Lena
Cost‐effective age structure and geographical distribution of boreal forest reserves
title Cost‐effective age structure and geographical distribution of boreal forest reserves
title_full Cost‐effective age structure and geographical distribution of boreal forest reserves
title_fullStr Cost‐effective age structure and geographical distribution of boreal forest reserves
title_full_unstemmed Cost‐effective age structure and geographical distribution of boreal forest reserves
title_short Cost‐effective age structure and geographical distribution of boreal forest reserves
title_sort cost‐effective age structure and geographical distribution of boreal forest reserves
topic Protected Area Design
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412213/
https://www.ncbi.nlm.nih.gov/pubmed/22879680
http://dx.doi.org/10.1111/j.1365-2664.2010.01897.x
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