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Mating Systems in Higher Plants

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With selfing, expect reduced male allocation due to local mate competition ... Weevil attack. Fruit remaining. Seed Dispersal. Why disperse? Escape hypothesis ... – PowerPoint PPT presentation

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Title: Mating Systems in Higher Plants


1
Mating Systems in Higher Plants
Gender/Mating systems
Yampolsky and Yampolsky 1922 survey of 121,492
species
2
Monoecy
Gender/Mating systems
  • Separate male and female flowers on the same
    plant
  • Repro effort is partitioned in time and space,
    selected for maximum efficiency (e.g. seed
    production, seed dispersal, pollen donation)
  • Examples alder, pine, cucumber

3
Monoecy
Gender/Mating systems
  • Arisaema triphyllum plants are sex changers
    male when small or after fruit formation, female
    when large

Bierzychudek 1984. Oecologia 6514-18
4
Dioecy
Gender/Mating systems
  • Separate male and female plants
  • Prevents selfing often see spatial segregation
    due to differential mortality and nutrient
    requirements (selection for separation of sexes?)
  • Examples indian plum, coconut, holly

5
Dioecy
Gender/Mating systems
  • Large females (dotted) die more often than males
    (dashed) juveniles (solid) also have high
    mortality in Chamaelirium luteum

Mortality
Leaf number
Meagher and Antonovics 1982. Ecology 631690-1700
6
Dioecy
Gender/Mating systems
  • Sex determination may be genetic (Silene
    latifolia has a sex chromosome) or environmental
    (some orchids if in sun, female)

7
Semelparity vs. Iteroparity
Timing of reproduction
  • Semelparity monocarpy reproduce once and die
    (big bang reproduction)
  • Iteroparity polycarpy reproduce repeatedly
    prior to death

8
Semelparity vs. Iteroparity
Timing of reproduction
  • Life history determined by fecundity and residual
    reproductive value
  • Fecundity how does offspring production respond
    to resource allocation?
  • Residual reproductive value how much resource
    is left over to allow survival and another chance
    of reproduction?

9
Semelparity
Timing of reproduction
Two optima all or none
10
Iteroparity
Timing of reproduction
Intermediate optimum
11
Semelparity vs. Iteroparity
Timing of reproduction
  • What determines fecundity curve?
  • Cost of reproduction (seeds, supporting
    structures for inflorescence, etc.) may lead to
    concave curve (semel)
  • Density dependent factors among offspring may
    lead to convex curve (itero)

12
Semelparity vs. Iteroparity
Timing of reproduction
  • What determines RRV curve?
  • May differ among habitats, e.g. steeper decline
    in marginal habitat (semel)

13
Dispersal
Seed Dispersal
  • Seed size/number trade-offs
  • Why disperse?
  • Escape hypothesis
  • Colonization hypothesis

14
Seed size/number trade-off
Seed Dispersal
  • A general rule seed size and number trade off,
    as resource pool is always finite
  • Predicted optimum for investment and offspring
    fitness

Constant returns
Offspring success
Investment per offspring
15
Seed size/number trade-off
Seed Dispersal
  • Seed size can affect survival, probability of
    germination, early growth

16
Why disperse? Escape hypothesis
Seed Dispersal
  • Mortality of seedlings highest near parent seed
    predators, disease, sibling competition

17
Why disperse? Escape hypothesis
Seed Dispersal
  • Datura seeds dispersed short distances (cm to m)
    by ants
  • Seed predation by rodents on Datura greater under
    parent plant than 1-3 meters away on ant middens,
    or under different plant species

18
Why disperse? Escape hypothesis
Seed Dispersal
  • In contrast, one way to make sure your offspring
    escape is to swamp out seed predators

Plant fecundity
Fruit remaining
Weevil attack
19
Why disperse? Escape hypothesis
Seed Dispersal
  • Masting a special case

20
Escape hypothesis
Seed Dispersal
  • Masting a special case
  • Panel a ponderosa pine and chalcid wasps
  • Panel b ponderosa pine and abert squirrels

21
Why disperse? Colonization hypothesis
Seed Dispersal
  • Particular habitats are required for
    establishment
  • Applies especially to disturbed habitats,
    unpredictable in time or space

22
Why disperse? Colonization hypothesis
Seed Dispersal
  • Dispersal among islets near Bamfield Cody and
    Overton 1996. J. Ecol. 8453-61
  • Lactuca muralis (wall lettuce) weedy, wind
    dispersed (pappus and achene)

23
Dispersal and morphology in Lactuca
Seed Dispersal
  • Drop time longer when pappus volume/achene volume
    ( wing loading) was high (interpret?)

24
Problem 7
  • Describe the general changes over time to Lactuca
    propagules when plants colonize islets, as
    compared to propagules of mainland plants.
  • What do you hypothesize was the selection
    pressure for rapid evolution of propagule
    morphology in island populations?

Population size
Achene volume
Pappus volume
Wing loading
Age after colonization of island
Mld mainland
25
Dispersal syndromes
Seed Dispersal
  • Self gravity or explosive
  • Abiotic wind, water
  • In both cases, seeds are nondescript (brown or
    green) wind dispersal selects for various
    modifications

26
Dispersal syndromes
Seed Dispersal
  • Insects
  • Ant dispersed seeds have elaiosomes, oil-rich,
    fleshy appendages

27
Dispersal syndromes
Seed Dispersal
  • Vertebrate
  • Nuts etc., buried and (sometimes) forgotten
  • Attached, have hooks or spines

28
Dispersal syndromes
Seed Dispersal
  • Vertebratemost common ingested
  • Brightly colored, fleshy fruits
  • Content of fruit often varies over season
    species that produce fruits during peak bird
    migration have higher lipid content
  • Advertisement may also vary over season

29
Dispersal syndromes
Seed Dispersal
  • Fruit color may vary seasonally within communities

Burns Dalen. Oikos 96 463-469
30
Vertebrate dispersal
Seed Dispersal
  • Why does salmonberry have two fruit colors?
  • Birds prefer red morph in choice tests (Gervais
    et al. Oikos 8477-86)
  • But

31
Invertebrate dispersal
Seed Dispersal
  • Banana slugs suppress germination of red morph
    (Gervais et al. Am Mid Nat 140103-110)

32
Summary Life history
  • Pollination, dispersal, timing and amount of
    repro all depend on interactions between biotic
    and abiotic factors
  • We can predict life history adaptations by
    analyzing selection pressures
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