SOURCE-LINKED INTELLIGENCE

Rewiring of ecological networks under global change

CORDIS · observation · Publication date unknown

this, I will use empirical data of pollination and seed dispersal networks to predict probabilities of all pairwise interactions in metawebs (network covering all possible pairwise interactions) with machine learning. I will quantify the species' rewiring potential as their interaction niche breadths in the metawebs. Then, I will construct scenarios of compositional change in local networks caused by global change and identify rewired interactions under different scenarios. I will also assess the stability and functionality of rewired networks under different scenarios. The main outcome of ECONET will be spatially-explicit knowledge of global change consequences on mutualistic networks. ECONET will provide practical and novel guidance to biodiversity management and conservation strategies, including nature-based solutions embedded in the EU’s environmental agenda. As a key part of ECONET, I will receive essential training from world-leading experts in the fields of ecological machine learning and scenario development at an outstanding centre. This will allow me to establish an indepe

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recordType

award

status

SIGNED

region

EU

value

225934.4

unit

EUR