The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Contributions of a global network of tree diversity experiments to sustainable forest plantations
Open accessAbstract
The area of forest plantations is increasing worldwide helping to meet timber demand and protect natural forests. However, with global change, monospecific plantations are increasingly vulnerable to abiotic and biotic disturbances. As an adaption measure we need to move to plantations that are more diverse in genotypes, species, and structure, with a design underpinned by science. TreeDivNet, a global network of tree diversity experiments, responds to this need by assessing the advantages and disadvantages of mixed species plantations. The network currently consists of 18 experiments, distributed over 36 sites and five ecoregions. With plantations 1–15 years old, TreeDivNet can already provide relevant data for forest policy and management. In this paper, we highlight some early results on the carbon sequestration and pest resistance potential of more diverse plantations. Finally, suggestions are made for new, innovative experiments in understudied regions to complement the existing network.
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Cites
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“Presently, 300 years after von Carlowitźs proposition of sustainability and given recent advances in biodiversity science (e.g., Cardinale et al. 2012), we need to know which mixtures provide higher levels of biomass production and of other ecosystem services and how environmental conditions…”
BackgroundSelf-citationTree allometry and improved estimation of carbon stocks and balance in tropical forests
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Self-citationClimate change may cause severe loss in the economic value of European forest land
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Tree diversity reduces herbivory by forest insects
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Self-citationBiomass and stem volume equations for tree species in Europe
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Cited by
Positive biodiversity-productivity relationship predominant in global forests
Liang, J., Crowther, T. W., Picard, N., Wiser, S., Zhou, M., Alberti, G., Schulze, E.-D., McGuire, A. D., Bozzato, F., Pretzsch, H., et al. (2016) · Science · doi:10.1126/science.aaf8957 · Cited by 1,490
Self-citationTrees, forests and water: cool insights for a hot world
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Self-citationMayer, M., Prescott, C. E., Abaker, W. E. A., Augusto, L., Cécillon, L., Ferreira, G. W. D., James, J., Jandl, R., Katzensteiner, K., Laclau, J.-P., et al. (2020) · Forest Ecology and Management · doi:10.1016/j.foreco.2020.118127 · Cited by 748
A Review of Processes Behind Diversity—Productivity Relationships in Forests
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Benefits of increasing plant diversity in sustainable agroecosystems
Isbell, F., Adler, P. R., Eisenhauer, N., Fornara, D., Kimmel, K., Kremen, C., Letourneau, D. K., Liebman, M., Polley, H. W., Quijas, S., et al. (2017) · Journal of Ecology · doi:10.1111/1365-2745.12789 · Cited by 616
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Metadata
- Authors
- Verheyen, K., Vanhellemont, M., Auge, H., Baeten, L., Baraloto, C., Barsoum, N., Bilodeau-Gauthier, S., Bruelheide, H., Castagneyrol, B., Godbold, D., Haase, J., Hector, A., Jactel, H., Koricheva, J., Loreau, M., Mereu, S., Messier, C., Muys, B., Nolet, P., Paquette, A., Parker, J., Perring, M., Ponette, Q., Potvin, C., Reich, P., Smith, A., Weih, M., & Scherer-Lorenzen, M.
- Venue
- Ambio
- Published
- 2015-08-12
- Volume
- 45
- Issue
- 1
- Pages
- 29-41
- ISSN
- 0044-7447 (ISSN-L)
- 1654-7209
- OpenAlex
- W1711183357
- Cited by
- 277
- References
- 47
- FWCI
- 27.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Verheyen, K., Vanhellemont, M., Auge, H., Baeten, L., Baraloto, C., Barsoum, N., Bilodeau-Gauthier, S., Bruelheide, H., Castagneyrol, B., Godbold, D., Haase, J., Hector, A., Jactel, H., Koricheva, J., Loreau, M., Mereu, S., Messier, C., Muys, B., Nolet, P., . . . Scherer-Lorenzen, M. (2016). Contributions of a global network of tree diversity experiments to sustainable forest plantations. Ambio. https://doi.org/10.1007/s13280-015-0685-1
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
