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Title: Contributions of a global network of tree diversity experiments to sustainable forest plantations
Authors: Verheyen, Kris
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
Keywords: Biodiversity
Carbon Sequestration
Data Acquisition
Experimental Design
Forest Management
Forestry Policy
Genotype-environment Interaction
Global Perspective
Pest Resistance
Plantation Forestry
Restoration Ecology
Sustainable Forestry
Timber Industry
Environmental Monitoring
Environmental Protection
Conservation Of Natural Resources
Environmental Monitoring
Issue Date: 2016
metadata.dc.publisher.journal: Ambio
metadata.dc.relation.ispartof: Volume 45, Número 1, Pags. 29-41
Abstract: 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.
metadata.dc.identifier.doi: 10.1007/s13280-015-0685-1
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