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1st INFOBIOM workshop – Datasets and methods for biodiversity monitoring in forest ecosystems

November 24 @ 10:00 - November 25 @ 15:00 CET

The registration is now open for the first workshop of INFOBIOM – The Nordic Network for Integrated Forest Resource and Biodiversity Monitoring – from 24th to 25th November 2022, Oslo, Norway. 

The Earth’s biodiversity suffers a catastrophic decline due to human impact on the environment. In response, a comprehensive, ambitious, long-term strategy for protecting nature and reversing the degradation of ecosystems, that includes actions and commitments to halt biodiversity loss, has been adopted by the European Commission. Forest ecosystems, including Boreal forests, represent one of the most species-rich habitat types worldwide. However, biodiversity is notoriously difficult to map and monitor. INFOBIOM will address the indicators used in assessment of habitat quality and hence the preservation of biodiversity.

This first workshop has primarily three topics:

  • Available datasets that are relevant for biodiversity monitoring in forests such as NFIs and similar programs
  • Interesting methods and techniques for assessing biodiversity in the field such as meta-barcoding, acoustic devices, proximal sensing
  • Innovative approaches for mapping biodiversity using remotely sensed data.

INFOBIOM is a SNS-funded network of Nordic researchers that brings together experts in forest monitoring and biodiversity. The network is led by NIBIO and includes NINA, LUKE, SYKE, SLU, Uni Copenhagen, and Uni Århus as partners.

Deadline for registration is 20th October. You will be asked to provide a max 150 words abstract of your contribution in the registration form. More information on the NBIO website.

Johannes Breidenbach, Research professor, welcomes you to Oslo!
National Forest Inventory, Forest and forest resources, www.nibio.no

Details

Start:
November 24 @ 10:00 CET
End:
November 25 @ 15:00 CET

Venue

Scandic Holmenkollen Park Hotel, Oslo, Norway.
Kongeveien 26
Oslo, 0787 Norway
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