
Enhancing tree performance through species mixing : review of a quarter-century of TreeDivNet experiments reveals research gaps and practical insights
- Author
- Leen Depauw (UGent) , Emiel De Lombaerde (UGent) , Els Dhiedt, Haben Blondeel (UGent) , Luis Abdala-Roberts, Harald Auge, Nadia Barsoum, Juergen Bauhus, Chengjin Chu, Abebe Damtew, Nico Eisenhauer, Marina V. Fagundes, Gislene Ganade, Benoit Gendreau-Berthiaume, Douglas Godbold, Dominique Gravel, Joannes Guillemot, Peter Hajek, Andrew Hector, Bruno Herault, Herve Jactel, Julia Koricheva, Holger Kreft, Xiaojuan Liu, Simone Mereu, Christian Messier, Bart Muys, Charles A. Nock, Alain Paquette, John D. Parker, William C. Parker, Gustavo B. Paterno, Michael P. Perring, Quentin Ponette, Catherine Potvin, Peter B. Reich, Boris Rewald, Michael Scherer-Lorenzen, Florian Schnabel, Rita Sousa-Silva, Martin Weih, Delphine Clara Zemp, Kris Verheyen (UGent) and Lander Baeten (UGent)
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- Abstract
- Purpose of ReviewInternational ambitions for massive afforestation and restoration are high. To make these investments sustainable and resilient under future climate change, science is calling for a shift from planting monocultures to mixed forests. But what is the scientific basis for promoting diverse plantations, and what is the feasibility of their establishment and management? As the largest global network of tree diversity experiments, TreeDivNet is uniquely positioned to answer these pressing questions. Building on 428 peer-reviewed TreeDivNet studies, combined with the results of a questionnaire completed by managers of 32 TreeDivNet sites, we aimed to answer the following questions: (i) How and where have TreeDivNet experiments enabled the relationship between tree diversity and tree performance (including productivity, survival, and pathogen damage) to be studied, and what has been learned? (ii) What are the remaining key knowledge gaps in our understanding of the relationship between tree diversity and tree performance? and (iii) What practical insights can be gained from the TreeDivNet experiments for operational, real-world forest plantations?Recent FindingsWe developed a conceptual framework that identifies the variety of pathways through which target tree performance is related to local neighbourhood diversity and mapped the research efforts for each of those pathways. Experimental research on forest mixtures has focused primarily on direct tree diversity effects on productivity, with generally positive effects of species and functional diversity on productivity. Fewer studies focused on indirect effects mediated via biotic growing conditions (e.g. soil microbes and herbivores) and resource availability and uptake. Most studies examining light uptake found positive effects of species diversity. For pests and diseases, the evidence points mostly towards lower levels of infection for target trees when growing in mixed plantations. Tree diversity effects on the abiotic growing conditions (e.g. microclimate, soil properties) and resource-use efficiency have been less well studied to date. The majority of tree diversity experiments are situated in temperate forests, while (sub)tropical forests, and boreal forests in particular, remain underrepresented.SummaryTreeDivNet provides evidence in favour of mixing tree species to increase tree productivity while identifying a variety of different processes that drive these diversity effects. The design, scale, age, and management of TreeDivNet experiments reflect their focus on fundamental research questions pertaining to tree diversity-ecosystem function relationships and this scientific focus complicates translation of findings into direct practical management guidelines. Future research could focus on (i) filling the knowledge gaps related to underlying processes of tree diversity effects to better design plantation schemes, (ii) identifying optimal species mixtures, and (iii) developing practical approaches to make experimental mixed plantings more management oriented.
- Keywords
- FINE-ROOT PRODUCTION, FUNCTIONAL DIVERSITY, SUBTROPICAL FOREST, ASSOCIATIONAL RESISTANCE, NITROGEN ACQUISITION, GENOTYPIC DIVERSITY, TRAIT VARIATION, RICHNESS, BIODIVERSITY, COMMUNITY, Mixed forest plantations, Tree diversity, TreeDivNet, Tree performance, Tree species mixing, Productivity, Afforestation
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HT56905ZMF7DWJF6CMC3V9WV
- MLA
- Depauw, Leen, et al. “Enhancing Tree Performance through Species Mixing : Review of a Quarter-Century of TreeDivNet Experiments Reveals Research Gaps and Practical Insights.” CURRENT FORESTRY REPORTS, vol. 10, no. 1, 2024, pp. 1–20, doi:10.1007/s40725-023-00208-y.
- APA
- Depauw, L., De Lombaerde, E., Dhiedt, E., Blondeel, H., Abdala-Roberts, L., Auge, H., … Baeten, L. (2024). Enhancing tree performance through species mixing : review of a quarter-century of TreeDivNet experiments reveals research gaps and practical insights. CURRENT FORESTRY REPORTS, 10(1), 1–20. https://doi.org/10.1007/s40725-023-00208-y
- Chicago author-date
- Depauw, Leen, Emiel De Lombaerde, Els Dhiedt, Haben Blondeel, Luis Abdala-Roberts, Harald Auge, Nadia Barsoum, et al. 2024. “Enhancing Tree Performance through Species Mixing : Review of a Quarter-Century of TreeDivNet Experiments Reveals Research Gaps and Practical Insights.” CURRENT FORESTRY REPORTS 10 (1): 1–20. https://doi.org/10.1007/s40725-023-00208-y.
- Chicago author-date (all authors)
- Depauw, Leen, Emiel De Lombaerde, Els Dhiedt, Haben Blondeel, Luis Abdala-Roberts, Harald Auge, Nadia Barsoum, Juergen Bauhus, Chengjin Chu, Abebe Damtew, Nico Eisenhauer, Marina V. Fagundes, Gislene Ganade, Benoit Gendreau-Berthiaume, Douglas Godbold, Dominique Gravel, Joannes Guillemot, Peter Hajek, Andrew Hector, Bruno Herault, Herve Jactel, Julia Koricheva, Holger Kreft, Xiaojuan Liu, Simone Mereu, Christian Messier, Bart Muys, Charles A. Nock, Alain Paquette, John D. Parker, William C. Parker, Gustavo B. Paterno, Michael P. Perring, Quentin Ponette, Catherine Potvin, Peter B. Reich, Boris Rewald, Michael Scherer-Lorenzen, Florian Schnabel, Rita Sousa-Silva, Martin Weih, Delphine Clara Zemp, Kris Verheyen, and Lander Baeten. 2024. “Enhancing Tree Performance through Species Mixing : Review of a Quarter-Century of TreeDivNet Experiments Reveals Research Gaps and Practical Insights.” CURRENT FORESTRY REPORTS 10 (1): 1–20. doi:10.1007/s40725-023-00208-y.
- Vancouver
- 1.Depauw L, De Lombaerde E, Dhiedt E, Blondeel H, Abdala-Roberts L, Auge H, et al. Enhancing tree performance through species mixing : review of a quarter-century of TreeDivNet experiments reveals research gaps and practical insights. CURRENT FORESTRY REPORTS. 2024;10(1):1–20.
- IEEE
- [1]L. Depauw et al., “Enhancing tree performance through species mixing : review of a quarter-century of TreeDivNet experiments reveals research gaps and practical insights,” CURRENT FORESTRY REPORTS, vol. 10, no. 1, pp. 1–20, 2024.
@article{01HT56905ZMF7DWJF6CMC3V9WV, abstract = {{Purpose of ReviewInternational ambitions for massive afforestation and restoration are high. To make these investments sustainable and resilient under future climate change, science is calling for a shift from planting monocultures to mixed forests. But what is the scientific basis for promoting diverse plantations, and what is the feasibility of their establishment and management? As the largest global network of tree diversity experiments, TreeDivNet is uniquely positioned to answer these pressing questions. Building on 428 peer-reviewed TreeDivNet studies, combined with the results of a questionnaire completed by managers of 32 TreeDivNet sites, we aimed to answer the following questions: (i) How and where have TreeDivNet experiments enabled the relationship between tree diversity and tree performance (including productivity, survival, and pathogen damage) to be studied, and what has been learned? (ii) What are the remaining key knowledge gaps in our understanding of the relationship between tree diversity and tree performance? and (iii) What practical insights can be gained from the TreeDivNet experiments for operational, real-world forest plantations?Recent FindingsWe developed a conceptual framework that identifies the variety of pathways through which target tree performance is related to local neighbourhood diversity and mapped the research efforts for each of those pathways. Experimental research on forest mixtures has focused primarily on direct tree diversity effects on productivity, with generally positive effects of species and functional diversity on productivity. Fewer studies focused on indirect effects mediated via biotic growing conditions (e.g. soil microbes and herbivores) and resource availability and uptake. Most studies examining light uptake found positive effects of species diversity. For pests and diseases, the evidence points mostly towards lower levels of infection for target trees when growing in mixed plantations. Tree diversity effects on the abiotic growing conditions (e.g. microclimate, soil properties) and resource-use efficiency have been less well studied to date. The majority of tree diversity experiments are situated in temperate forests, while (sub)tropical forests, and boreal forests in particular, remain underrepresented.SummaryTreeDivNet provides evidence in favour of mixing tree species to increase tree productivity while identifying a variety of different processes that drive these diversity effects. The design, scale, age, and management of TreeDivNet experiments reflect their focus on fundamental research questions pertaining to tree diversity-ecosystem function relationships and this scientific focus complicates translation of findings into direct practical management guidelines. Future research could focus on (i) filling the knowledge gaps related to underlying processes of tree diversity effects to better design plantation schemes, (ii) identifying optimal species mixtures, and (iii) developing practical approaches to make experimental mixed plantings more management oriented.}}, author = {{Depauw, Leen and De Lombaerde, Emiel and Dhiedt, Els and Blondeel, Haben and Abdala-Roberts, Luis and Auge, Harald and Barsoum, Nadia and Bauhus, Juergen and Chu, Chengjin and Damtew, Abebe and Eisenhauer, Nico and Fagundes, Marina V. and Ganade, Gislene and Gendreau-Berthiaume, Benoit and Godbold, Douglas and Gravel, Dominique and Guillemot, Joannes and Hajek, Peter and Hector, Andrew and Herault, Bruno and Jactel, Herve and Koricheva, Julia and Kreft, Holger and Liu, Xiaojuan and Mereu, Simone and Messier, Christian and Muys, Bart and Nock, Charles A. and Paquette, Alain and Parker, John D. and Parker, William C. and Paterno, Gustavo B. and Perring, Michael P. and Ponette, Quentin and Potvin, Catherine and Reich, Peter B. and Rewald, Boris and Scherer-Lorenzen, Michael and Schnabel, Florian and Sousa-Silva, Rita and Weih, Martin and Zemp, Delphine Clara and Verheyen, Kris and Baeten, Lander}}, issn = {{2198-6436}}, journal = {{CURRENT FORESTRY REPORTS}}, keywords = {{FINE-ROOT PRODUCTION,FUNCTIONAL DIVERSITY,SUBTROPICAL FOREST,ASSOCIATIONAL RESISTANCE,NITROGEN ACQUISITION,GENOTYPIC DIVERSITY,TRAIT VARIATION,RICHNESS,BIODIVERSITY,COMMUNITY,Mixed forest plantations,Tree diversity,TreeDivNet,Tree performance,Tree species mixing,Productivity,Afforestation}}, language = {{eng}}, number = {{1}}, pages = {{1--20}}, title = {{Enhancing tree performance through species mixing : review of a quarter-century of TreeDivNet experiments reveals research gaps and practical insights}}, url = {{http://doi.org/10.1007/s40725-023-00208-y}}, volume = {{10}}, year = {{2024}}, }
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