BiodivConnect Call on Restoring Ecosystem Functioning, Integrity and Connectivity

Knowledge generation and management

Convocatorias Biodiversa +

Open call

European Biodiversity Partnership (Biodiversa+) BiodivConnect Call on Restoring Ecosystem Functioning, Integrity and Connectivity

This call focuses on fostering innovative research in nature restoration practices to achieve interconnected and well-functioning ecosystems and habitats, with a particular focus on long-term sustainability and future-proofing.

To adequately address the key challenges of nature restoration, it is essential to support knowledge sharing and capacity building across disciplines and social sectors, and to recognize, appreciate and integrate multiple forms of knowledge. This call is organized into three main themes that partially overlap:

Topic 1: Setting Restoration Goals and Measuring Success
It addresses the need to set consistent and operational restoration targets and to measure success in terms of ecosystem functioning, integrity and connectivity. Projects are expected to take into account changes in baselines and the integration of ecological, cultural and social contexts, with goal-based or reference-based approaches.

Theme 2: Transferability and scaling up nature
restoration initiativesIt addresses the need to better understand the possibilities and methods for meaningfully and effectively scaling up and transferring nature restoration initiatives. There are many examples of successful local restoration initiatives around the world, however, the magnitude of the biodiversity crisis calls for advances in approaches and processes to replicate successful initiatives in different socio-economic and environmental contexts.

Theme 3: Resilience and sustainability of restoration
effortsIt addresses the need for the long-term sustainability of restored species, habitats, and ecosystems, including resilience to climate change and other pressures. Given future environmental and social changes, it will not be possible to rely solely on historical and current datasets and models to predict likely pathways to successful restoration. There is also a need for advanced predictive models and an anticipatory strategic vision based on policy learning, as well as the development of entirely novel approaches to restoration, experimental approaches with high risk tolerance, and/or open-ended restoration efforts, such as renaturation.

More information about the call: