seeds on the run: a model of seed dispersal
DESCRIPTION
Seeds on the Run: A Model of Seed Dispersal. Sara Garnett, Michael Kuczynski , Anne Royer GK-12 workshop 12/5/12. On the run?. Most organisms don’t spend their whole lives in the place they were born Dispersal: movement of organisms away from a given population or parent Natal, adult - PowerPoint PPT PresentationTRANSCRIPT
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Seeds on the Run:A Model of Seed Dispersal
Sara Garnett, Michael Kuczynski, Anne RoyerGK-12 workshop
12/5/12
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On the run?
• Most organisms don’t spend their whole lives in the place they were born
• Dispersal: movement of organisms away from a given population or parent– Natal, adult
• Many reasons dispersal may be beneficial
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Reasons for DispersalNatal dispersal Adult dispersal
Reduce competition with relatives
Avoid inbreeding
Find better habitat, resources
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Plants disperse too!
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Effects of Dispersal
• Clear benefits to dispersal– Avoid inbreeding– Reduce competition, lower population densities– Make use of better habitats
• Why is there variation in dispersal ability?
• How does this variation affect communities?
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Why does dispersal matter? In the early 1970s, two ecologists were trying
to figure out why the many species of trees found in tropical forests were so evenly distributed. They started with dispersal.
Winnie Hallwachs Westsocnat.com
Dan Janzen Joseph Connell
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Null hypothesis Two mature trees growing in a forest are
setting and dispersing lots of seed. Where would you expect most of the resulting seedlings to grow?
aha-soft.com archigraphs.com
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Null hypothesis Seeds, and seedlings, end up mostly clustered
under the parent tree.
aha-soft.com archigraphs.com
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Predict It! (Graph #1)
Distance from mother tree
Num
ber o
f see
dlin
gs
near far
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Null hypothesis
If we assume dispersal alone dictates where adult trees will be, what distribution of adult trees would this result in?
aha-soft.com archigraphs.com
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Null hypothesis
aha-soft.com archigraphs.comaha-soft.com
archigraphs.comarchigraphs.comaha-soft.com
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archigraphs.com
Null hypothesis – fail!
aha-soft.com aha-soft.comaha-soft.com
What we actually see looks more like this.
archigraphs.comarchigraphs.com
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What could turn this into this?
archigraphs.com aha-soft.com aha-soft.comaha-soft.com archigraphs.comarchigraphs.com
aha-soft.com archigraphs.com
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HINT #1
the tropics are full of diversity, but it’s not all spider monkeys and morpho butterflies
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HINT #2• Specialist organisms are especially common in
the tropics – many herbivores and disease organisms tend to attack a single victim species.
• Do you think they would prefer to feed in high-density or low-density patches?
aha-soft.com archigraphs.com
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Predict It! (Graph #2)
Seedling density
Like
lihoo
d of
seed
ling
surv
ival
high low
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The Janzen-Connell Hypothesis
• Most seeds fall near the tree• Specialist diseases and herbivores will be
more abundant in those high-density areas• Seedlings near the parent tree will experience
higher mortality rates• Rare seeds that disperse far are most likely to
survive to adulthood
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I = # seeds per unit areaP = probability that seed will maturePRC = “Population Recruitment Curve,” I*P. The likelihood of an adult tree ending up there.
Janzen 1970
The Janzen-Connell Hypothesis
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Can we use these assumptions to build a model (game) that works (produces predicted results)?
• Your seeds are more likely to land close to the mother tree
• Seeds that land close to the tree are more likely to have bad things happen to them
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The Environment
• The game board consists of three zones representing different distances of dispersal from the parent plant
12
3
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Game pieces (aka: fun with tiddlywinks!)
• Seeds/plants are represented by tiddlywinks• When you begin your turn you take control of
a new seed• Role a die to see how far the seed disperses– 1-3 = Zone 1– 4,6 = Zone 2– 6 = Zone 3 =
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Decide your fate!
• After your seed has dispersed draw a fate card to see what will happen to your seed
• If you have any other plants on the board they must also draw a fate card
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End of the game
• After each player has gone through 10 turns the game ends
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Time to graph!
• Add up the number of seeds/plants in each zone and graph this data
• Calculate the average height (number of tiddlywinks) for the plants in each zone and graph this data
• Report your group’s data to the entire class so we can create graphs of the pooled data
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Extensions
• Do you think our game-model worked – produced results that reflect the hypothesis? If not, what would you change to make it work? (This is the process theoretical biologists use!)
• Can you think of other mechanisms that could create this pattern? How would you model them in game form?