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DISPERSAL ASSEMBLY RULES IN DUTCH PLANT COMMUNITIES ? Wim Ozinga ... Synoptic tables. 170 plant communities (only inland, terrestrial) ... – PowerPoint PPT presentation

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Title: Wim Ozinga


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 (N40.000)
  • 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 (gt100 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 (gt100 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
(No Transcript)
10
DATABASE LINKAGES
Species level
Community level
Combination
Dispersal traits
Matrix multiplications
Environment
11
DISPERSAL BY WATER
Aquatic
12
DISPERSAL BY WIND
13
DISPERSAL BY HERBIVORES (FUR)
14
DISPERSAL BY HERBIVORES (DUNG)
15
SEED LONGEVITY
16
SHIFT IN DISPERSAL TRAITS
17
DISPERSAL TRAITS WITHIN A COMMUNITYTrait
spectrum broad leafed forest (Carpinetum)
18
LIGHT AVAILABILITY POLYCHORY
19
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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