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Developing digital twins to help understand ecosystems
LTER-LIFE aims to study and predict how global change affects ecosystems. It is one of nine projects that have just won funding for setting up and improving large-scale research infrastructure. -
Digitale tweelingen gaan helpen ecosystemen beter te begrijpen
LTER-LIFE, met als hoofdaanvrager Marcel Visser (NIOO-KNAW), is een van de negen projecten die in totaal 140 miljoen euro ontvangen om grootschalige wetenschappelijke infrastructuur op te zetten of te verbeteren. -
NIAS Talk: Secrets of the Sea
Despite its many secrets and wonders, oceans have been under threat for years. Corals are dying and sea life is disappearing. Although this is a global phenomenon, some people are affected more than othersāand as with many a climate issue, these inequalities bear witness of the afterlife of (post)colonialism. In this talk, we shed light on the ambiguous nature of marine protection and the colonial dimensions of ocean health. -
NIAS Talk: Secrets of the Sea
Despite its many secrets and wonders, oceans have been under threat for years. Corals are dying and sea life is disappearing. Although this is a global phenomenon, some people are affected more than othersāand as with many a climate issue, these inequalities bear witness of the afterlife of (post)colonialism. In this talk, we shed light on the ambiguous nature of marine protection and the colonial dimensions of ocean health. -
Testing early warning signals for crises, in lakes
Wouldn't it be great if we could tell the state of an ecosystem or the like - healthy or heading for a crisis - by keeping track of a few key signals? Thanks to the theory of ātipping pointsā, thatās not unthinkable. Now a team of researchers led by Alena Gsell of the Netherlands Institute of Ecology (NIOO-KNAW) has tested early warning signals: in lakes. In the Early Edition of PNAS online, they conclude that predicting works...but not yet in all cases. -
Alarmsignalen voorspellen naderende crisis - nu ook in de praktijk
Een crisis willen we graag kunnen voorspellen. De theorie van ākantelpuntenā biedt daarvoor goede aanknopingspunten. Voor het eerst testte een internationaal team van NIOO-onderzoeker Alena Gsell de alarmsignalen uit in de praktijk, met meren. Het bekende wetenschappelijk tijdschrift PNAS publiceert deze week de resultaten alvast online: āVoorspellen lukt, maar nog niet overal.ā