Artigo

Contributions of a global network of tree diversity experiments to sustainable forest plantations

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...

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Autor principal: Verheyen, Kris
Outros Autores: Vanhellemont, Margot, Auge, Harald, Baeten, Lander, Baraloto, Christopher, Barsoum, Nadia, Bilodeau-Gauthier, Simon, Bruelheide, Helge, Castagneyrol, Bastien, Godbold, Douglas L., Haase, Josephine, Hector, Andy, Jactel, Hervé, Koricheva, Julia, Loreau, Michel, Mereu, Simone, Messier, Christian, Muys, Bart, Nolet, Philippe, Paquette, Alain, Parker, John D., Perring, Michael P., Ponette, Quentin, Potvin, Catherine, Reich, Peter B., Smith, Andrew R., Weih, Martin, Scherer-Lorenzen, Michael
Grau: Artigo
Idioma: English
Publicado em: Ambio 2020
Assuntos:
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/15838
Resumo:
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. © 2015, Royal Swedish Academy of Sciences.