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DISPERSAL ASSEMBLY RULES IN DUTCH PLANT COMMUNITIES ?

DISPERSAL ASSEMBLY RULES IN DUTCH PLANT COMMUNITIES ?. Wim Ozinga KUN: Prof. Jan M. van Groenendael RUG: Prof. Jan P. Bakker Dr. Renée M. Bekker Alterra: Dr. Joop H.J. Schaminée Drs. Stephan M. Hennekens. BACKGROUND. Disappointing results nature restoration projects

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DISPERSAL ASSEMBLY RULES IN DUTCH PLANT COMMUNITIES ?

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  1. DISPERSAL ASSEMBLY RULES IN DUTCH PLANT COMMUNITIES ? Wim Ozinga • KUN: Prof. Jan M. van Groenendael • RUG: Prof. Jan P. Bakker Dr. Renée M. Bekker • Alterra: Dr. Joop H.J. Schaminée Drs. Stephan M. Hennekens

  2. BACKGROUND Disappointing results nature restoration projects • ‘missing target species’ Constraints on assembly of local communities: • (a)biotic • Dispersal

  3. DISPERSAL ASSEMBLY ? Importance of dispersal in determining species composition: • Species levelinterspecific differences traits, trade-offs • Community level+ environmental constraints on efficiency dispersal vectors (trait-environment linkages) • Landscape level+ spatial configuration, availability dispersal vectors

  4. TRAIT – ENVIRONMENT LINKAGESAPPROACH Combination of 2 large databases: Vegetation database Database dispersal traits

  5. DUTCH VEGETATION DATABASE Vegetation relevés (N=40.000) Synoptic tables 170 plant communities (only inland, terrestrial) each community: species + % sites occupied Ordination main environmental gradients: water availability productivity light availability

  6. IRIS: DATABASE ON REPRODUCTIVE TRAITS www.synbiosys.alterra.nl/IRIS • Focus on long distance dispersal (>100 m) • Wind(anemochory) • Water(hydrochory) • Herbivores, fur(epizoochory) • Herbivores, internal(endozoochory) • Birds(ornithochory) • Dispersal in time • Seed longevity

  7. IRIS: DATABASE ON REPRODUCTIVE TRAITS Example contents Floating seedlings T50

  8. IRIS: DATABASE ON REPRODUCTIVE TRAITS www.synbiosys.alterra.nl/IRIS • Focus on long distance dispersal (>100 m) • Wind (anemochory) • Water (hydrochory) • Herbivores, fur (epizoochory) • Herbivores, internal (endozoochory) • Birds (ornithochory) • Dispersal in time • Seed longevity • Rough classification species for each dispersal vector: • 0: low potential for long distance dispersal • 1: relatively high ,,

  9. DATABASE LINKAGES Species level Community level Combination Dispersal traits Matrix multiplications Environment

  10. DISPERSAL BY WATER Aquatic

  11. DISPERSAL BY WIND

  12. DISPERSAL BY HERBIVORES (FUR)

  13. DISPERSAL BY HERBIVORES (DUNG)

  14. SEED LONGEVITY

  15. SHIFT IN DISPERSAL TRAITS

  16. DISPERSAL TRAITS WITHIN A COMMUNITYTrait spectrum broad leafed forest (Carpinetum)

  17. LIGHT AVAILABILITY & POLYCHORY

  18. CONCLUSIONS Spectra of dispersal traits change along main environmental gradients (especially along light gradient)  dispersal models should include habitat quality Within community diversity of dispersal traits  dispersal models should include multiple dispersal vectors Relative importance of long distance dispersal increases along light gradient  communities probably differ in sensitivity for habitat fragmentation and in potential for ecological restoration

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