SOURCE-LINKED INTELLIGENCE

FORALIEN: towards the development of a foraminiferal Non-Indigenous Species index

CORDIS · observation · Publication date unknown

od allowing an easy identification of the three species of the A. tepida morphotype. To complement the morphological method I will apply novel methods, genetic (digital Polymerase Chain Reaction) and deep learning models, to identify NIS foraminifera quickly and reliably assess their efficiency in biomonitoring surveys. Secondly, I will use methods precedingly described and sediment samples to analyse the spatio-temporal distribution and time of arrival of NIS in the region. This would result in the development of a NIS index to asses their impact on native species. Finally, environmental parameters will be measured to define the unknown ecological requirements of NIS to better integrate them in traditional foraminiferal biotic indices used to assess the health of ecosystems and to explain and forecast their possible succesful invasions in Sweden. Non-Indigenous Species, benthic foraminifera, identification methods, bio-invasions, ecological requirements, biotic indices

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

206887.68

unit

EUR