TreeDivNet is a global network of tree diversity experiments that offers unique opportunities for (1) research on the relation between tree species diversity and ecosystem functioning in major forest types around the world and (2) co-ordinated knowledge transfer towards forest policy and management.
The network provides a platform for multidisciplinary and multifunctional research in specific studies as well as synthesis studies across the globe. Expertise on experiment set-up and maintenance is built up.
The network comprises the so-called experiments and application trials. The experiments form the base of the network. Application trials are managed at an operational scale for the forestry industry and provide added value for the knowledge transfer towards forest policy and management.

To meet the system boundaries of TreeDivNet,

• experiments should:
• be a priori designed as true diversity experiments
• allow separating between diversity and identity effects
• manipulate woody plant diversity and have a sufficiently long diversity gradient
• be conducted in the field (no pot experiments)
• account for confounding factors
• assess multiple functions
• application trials should:
• have tree species diversity as a main focus
• be designed with and for the stakeholders and the forest managers
• have a clear link with a TreeDivNet experiment (e.g. managed by the same people and using a subset of the species and similar site conditions as the linked TreeDivNet experiment) (optional).