Towards resource‐efficient forests: Mixing species changes crown biomass allocation and improves growth efficiency

Societal Impact Statement Forests worldwide face significant challenges due to climate change, impacting their health and productivity. In this study, we examined how European beech and Scots pine influence each other's phenology and growth in mixed forests. Our findings indicate that mixing these complementary tree species can increase resource efficiency within forest ecosystems. By leveraging informed species selection, this research highlights the potential for developing knowledge‐based, resource‐efficient forests. These insights are invaluable for policymakers and forest managers in designing forests that are not only productive but also sustainable and adaptable to evolving environmental conditions. Summary We investigated the effects of interspecific neighbors on crown morphology and growth efficiency in European temperate forests, specifically focusing on European beech ( Fagus sylvatica L.) and Scots pine ( Pinus sylvestris L.). Our goal was to determine whether the previously reported overyielding in this mixture is primarily due to improved space‐use efficiency and packing density or enhanced resource‐use efficiency. Our methodology involved a detailed analysis of 128 individual felled trees. We assessed the effect of intraspecific and interspecific neighbors on stem volume growth, the allometric relationships of tree crowns and their components, and the allocation of branch and leaf biomass along the trees' vertical structure. Our findings demonstrate that interspecific neighbors significantly influence the allometric relationships of tree crowns, especially altering the vertical biomass distribution in European beech. Additionally, we found that interspecific neighbors can significantly enhance the growth efficiency of European beech but not for Scots pine. This research provides valuable insights for enhancing forest growth models and guiding forest management practices. By understanding the critical role of crown biomass allocation and growth efficiency in mixed‐species stands, policymakers and forest managers can design forests that are both productive and adaptable to changing environmental conditions. This study emphasizes the importance of species interactions in forest dynamics and bridges theoretical concepts with practical applications.

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Publication Details

Journal
Plants People Planet
Published
2024-08-09
DOI
https://doi.org/10.1002/ppp3.10562
Citations
12
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
Field-Weighted Citation Impact
8.29

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article

Towards resource‐efficient forests: Mixing species changes crown biomass allocation and improves growth efficiency

Gediminas Brazaitis, Hans Pretzsch, Lauri Mehtätalo, Ricardo Ruíz‐Peinado et al.
12 citations
Plants People Planet
Ecology and Vegetation Dynamics Studies
8.29
article

Towards resource‐efficient forests: Mixing species changes crown biomass allocation and improves growth efficiency

Gediminas Brazaitis, Hans Pretzsch, Lauri Mehtätalo, Ricardo Ruíz‐Peinado, Miren del Rı́o, Enno Uhl, Gerhard Schmied, Torben Hilmers, Kamil Bielak
article en
12 citations

Abstract

Societal Impact Statement Forests worldwide face significant challenges due to climate change, impacting their health and productivity. In this study, we examined how European beech and Scots pine influence each other's phenology and growth in mixed forests. Our findings indicate that mixing these complementary tree species can increase resource efficiency within forest ecosystems. By leveraging informed species selection, this research highlights the potential for developing knowledge‐based, resource‐efficient forests. These insights are invaluable for policymakers and forest managers in designing forests that are not only productive but also sustainable and adaptable to evolving environmental conditions. Summary We investigated the effects of interspecific neighbors on crown morphology and growth efficiency in European temperate forests, specifically focusing on European beech ( Fagus sylvatica L.) and Scots pine ( Pinus sylvestris L.). Our goal was to determine whether the previously reported overyielding in this mixture is primarily due to improved space‐use efficiency and packing density or enhanced resource‐use efficiency. Our methodology involved a detailed analysis of 128 individual felled trees. We assessed the effect of intraspecific and interspecific neighbors on stem volume growth, the allometric relationships of tree crowns and their components, and the allocation of branch and leaf biomass along the trees' vertical structure. Our findings demonstrate that interspecific neighbors significantly influence the allometric relationships of tree crowns, especially altering the vertical biomass distribution in European beech. Additionally, we found that interspecific neighbors can significantly enhance the growth efficiency of European beech but not for Scots pine. This research provides valuable insights for enhancing forest growth models and guiding forest management practices. By understanding the critical role of crown biomass allocation and growth efficiency in mixed‐species stands, policymakers and forest managers can design forests that are both productive and adaptable to changing environmental conditions. This study emphasizes the importance of species interactions in forest dynamics and bridges theoretical concepts with practical applications.

Plants People PlanetVol. 7(1)
Universidad de Valladolid (ES), Consejo Superior de Investigaciones Científicas (ES), Warsaw University of Life Sciences (PL), Vytautas Magnus University (LT), Natural Resources Institute Finland (FI), Bavarian State Research Center for Agriculture (DE), Bayerisches Staatsministerium für Ernährung, Landwirtschaft und Forsten (DE), Instituto de Ciencias Forestales, Technical University of Munich (DE)
European Commission, Deutsche Forschungsgemeinschaft, Bayerisches Staatsministerium für Ernährung, Landwirtschaft und Forsten, Horizon 2020 Framework Programme
Openalex Percentile: Top 2%
Ecology and Vegetation Dynamics Studies
8.29
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