Calls for grants
FORWARDS interacts with several established networks on CSF & Restoration and effectively uses five dedicated grant calls to implement forest observations and test CSF & restoration measures.
The project will launch at least five calls to set up the ForestWard Observatory and support the implementation and scaling-up of climate-smart restoration pilots. It is expected that the calls will yield approximately 50 projects.
GRANT THEMES AND INFO
1. Pilot network of long-term climate impact forest monitoring sites
Two calls now open! Apply here: https://efi.int/grants-training/grants
Approximate no. of grants: 15
Supported activities:
- Install new measurement equipment in existing monitoring pilots;
- Perform measurements and maintain equipment.
2. Disturbance characterisation
Approximate no. of grants: 8
Supported activities:
- Provide a Europe-wide, consistent, and statistically robust disturbance assessment for different project years
- Provide detailed characterisation of cause-effect relationships for disturbances in and around the CSF and restoration priority areas
3. CSF and forest restoration pilots
Approximate duration: 18 months (calls are published in multiple batches)
Launch of the first batch: 31 July 2023
Approximate no. of grants: 15 total
Supported activities:
- Establish new CSFs and forest restoration trials
- Field measurements on newly established or already existing CSF and restoration trials
- Analyse the effectiveness of the practises considering considering indicators developed in FORWARDS
4. Citizen and stakeholder engagement in CSF and forest restoration
Approximate no. of grants: 15
Supported activities:
- Implement innovative social engagement activities
- Stakeholder surveys, workshops, or other interactive formats for knowledge, joint vision development, collective learning, collaborative planning or co-creating solutions
5. Knowledge to practice
Approximate no. of grants: 2
Supported activities:
- Develop web applications that link to the ForestWard Observatory and rely on its datasets