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  1. GLODB.ORG

    subsite1.nioo.knaw.nl
    GLODB.ORG
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  2. PhD position: exposing the contribution of epialleles to heritable variation in plants

    Position
    How important is epigenetic variation for rapid adaptation in wild plant populations? This genomics-focused PhD project at the Netherlands Institute of Ecology in Wageningen investigates genetic, epigenetic and gene expression differences between apomictic dandelion plants, to uncover the role of natural epialleles in driving heritable trait differences.

  3. Breaking up of swan families in winter disrupts spring migration

    News
    Young Bewick's swans only survive their first spring migration if they stay with their parents long enough. If they lose their parents in winter, they leave later and are unable to keep up with the rest of the population. As a result, there is a greater chance that they will die in their first year of life. This is shown in new research by biologists from the Netherlands Institute of Ecology (NIOO-KNAW) and the UvA, together with American and German colleagues, which was published on 20 August 20 in the journal Behavioral Ecology and Sociobiology.
    Kleine zwanen

  4. Van Dis group

    Research in the Van Dis Group focuses on understanding population responses to rapid environmental change so that we can predict when and how populations can persist. We are particularly interested in the role that evolution will play to bend the curve of ongoing biodiversity losses. Our projects aim to identify drivers and constraints that determine the rate of adaptation, by assessing population adaptive potential of different species and by leveraging unique long-term ecological datasets to test for realized genetic change over time.

  5. (Junior) HR adviseur (vacancy in Dutch)

    Position
    Wil jij als HR adviseur werken in een inspirerende wetenschappelijke omgeving waar je bijdraagt aan baanbrekend ecologisch onderzoek? Dan zijn wij op zoek naar jou!

  6. Data steward NODE (NIOO Open Data for Ecology; vacancy in Dutch)

    Position
    Bij het NIOO maken we onze datamanagement en infrastructuur klaar voor de toekomst binnen het project NODE. NODE (NIOO Open Data for Ecology) is een meerjarig veranderprogramma waarmee we de datamanagement-infrastructuur, het beleid, de datasets en de instituutscultuur op het gebied van data en metadata strak op orde brengen. Daarbij hoort onder andere goede classificatie, curatie en een beleid rondom onderzoeksdata. We zorgen ervoor dat onderzoekers hun data nog beter kunnen beheren, beter beschrijven en daardoor nog vaker kunnen (her)gebruiken. Als deze omslag slaagt, krijgen we niet alleen beter beheerde data, maar ook veel méér data: meer hergebruik, meer samenwerking, en meer wetenschappelijke opbrengst uit werk dat al gedaan is.

  7. PhD position: Integrating trait diversity into ecosystem models

    Position
    We are recruiting a talented, enthusiastic, and collaborative PhD candidate to investigate how phytoplankton trait diversity affects ecosystem processes. Specifically, the PhD candidate will integrate diversity of phytoplankton resource acquisition traits into the mechanistic ecosystem model PCLake and assess consequences for ecosystem structure and functioning.

  8. Wietske Oosterkamp

    People
    Project Assistant

  9. Waakvogels: werkpakket Rotgans

    Project 2024–2029
    Carry-over effects of pre-migratory fuelling rates of brent geese in the Wadden Sea
    Rotgans

  10. Space-for-time: predicting genetic adaptation to climate change from spatial adaptation patterns

    Project 2026–2030
    Many species can live both in cold northern climates and warm southern climates. This project will assess whether the same genes that geographically differ between northern and southern populations can help species adapt to climate change over time. To test these space-for-time substitutions, the project will make use of unique long-term data of winter moths – one of the few species known to have adapted to contemporary climate change. If the assumption of space-for-time is true, then researchers can use this assumption to identify populations that are most vulnerable to climate change.
    SpaceForTime