seeds on the run: a model of seed dispersal

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Seeds on the Run: A Model of Seed Dispersal Sara Garnett, Michael Kuczynski, Anne Royer GK-12 workshop 12/5/12

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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 Presentation

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Page 1: Seeds on the Run: A Model of Seed Dispersal

Seeds on the Run:A Model of Seed Dispersal

Sara Garnett, Michael Kuczynski, Anne RoyerGK-12 workshop

12/5/12

Page 2: Seeds on the Run: A Model of Seed Dispersal

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

Page 3: Seeds on the Run: A Model of Seed Dispersal

Reasons for DispersalNatal dispersal Adult dispersal

Reduce competition with relatives

Avoid inbreeding

Find better habitat, resources

Page 4: Seeds on the Run: A Model of Seed Dispersal

Plants disperse too!

Page 5: Seeds on the Run: A Model of Seed Dispersal

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?

Page 6: Seeds on the Run: A Model of Seed Dispersal

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

Page 7: Seeds on the Run: A Model of Seed Dispersal

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

Page 8: Seeds on the Run: A Model of Seed Dispersal

Null hypothesis Seeds, and seedlings, end up mostly clustered

under the parent tree.

aha-soft.com archigraphs.com

Page 9: Seeds on the Run: A Model of Seed Dispersal

Predict It! (Graph #1)

Distance from mother tree

Num

ber o

f see

dlin

gs

near far

Page 10: Seeds on the Run: A Model of Seed Dispersal

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

Page 11: Seeds on the Run: A Model of Seed Dispersal

Null hypothesis

aha-soft.com archigraphs.comaha-soft.com

archigraphs.comarchigraphs.comaha-soft.com

Page 12: Seeds on the Run: A Model of Seed Dispersal

archigraphs.com

Null hypothesis – fail!

aha-soft.com aha-soft.comaha-soft.com

What we actually see looks more like this.

archigraphs.comarchigraphs.com

Page 13: Seeds on the Run: A Model of Seed Dispersal

What could turn this into this?

archigraphs.com aha-soft.com aha-soft.comaha-soft.com archigraphs.comarchigraphs.com

aha-soft.com archigraphs.com

Page 14: Seeds on the Run: A Model of Seed Dispersal

HINT #1

the tropics are full of diversity, but it’s not all spider monkeys and morpho butterflies

Page 15: Seeds on the Run: A Model of Seed Dispersal

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

Page 16: Seeds on the Run: A Model of Seed Dispersal

Predict It! (Graph #2)

Seedling density

Like

lihoo

d of

seed

ling

surv

ival

high low

Page 17: Seeds on the Run: A Model of Seed Dispersal

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

Page 18: Seeds on the Run: A Model of Seed Dispersal

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

Page 19: Seeds on the Run: A Model of Seed Dispersal

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

Page 20: Seeds on the Run: A Model of Seed Dispersal

The Environment

• The game board consists of three zones representing different distances of dispersal from the parent plant

12

3

Page 21: Seeds on the Run: A Model of Seed Dispersal

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 =

Page 22: Seeds on the Run: A Model of Seed Dispersal

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

Page 23: Seeds on the Run: A Model of Seed Dispersal

End of the game

• After each player has gone through 10 turns the game ends

Page 24: Seeds on the Run: A Model of Seed Dispersal

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

Page 25: Seeds on the Run: A Model of Seed Dispersal

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?