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Transcript
ICE
Inquiry-based Curriculum Enhancement
Lesson Plan: Species Interactions
General Description
This activity is designed to reinforce an understanding of basic concepts in ecology as well
as the use of basic equations of population growth. It also serves to illustrate scientific
study of biodiversity and conservation.
Objectives
Students will be able to describe the basic features of a network of species interactions
using ecological concepts (predator, prey, interaction, stability).
Students will be able to calculate population growth from exponential and logistic equations.
Students will be able to comprehend how predictions are made and evaluated in the process
of science
Students will be able to apply their knowledge to a novel case in a homework assignment,
inferring ecological dynamics from this prior knowledge.
Students will be able to recognize and identify how understanding ecological networks and
species interactions contributes to conservation efforts regarding biodiversity.
Concepts
Ecology, Prey, Predator, Keystone Predator, Exponential Population Growth, Logistic
Population Growth, Conservation, Biodiversity, Hypothesis, Prediction
Time
50 minutes
Prerequisite Skills
Nominal familiarity with most of the key concepts listed above. One or two lectures on
ecology introducing growth equations.
Materials
Koosh ball sea urchins, paper kelp communities, sea otter puppet
Overheads: Calculations, Questions
Student Handout
Optional Homework Assignment
ICE
Inquiry-based Curriculum Enhancement
UTI Instructions: Species Interactions
Introduction:
This activity is designed to reinforce an understanding of basic concepts in ecology as well
as the use of basic equations of population growth. It also serves to illustrate scientific
study of biodiversity and conservation.
Procedure:
1. Explain that you will be exploring two key concepts in ecology: the study of populations
in their natural environment and the interactions they have with other species. We will
utilize formulas frequently used in ecological studies and practice making predictions
about how ecological communities respond to changes in the community. [1 minute]
2. Describe that there are two basic hypotheses about the interactions among species in
ecological communities. (1) Species are interdependently interacting—if you remove
one you dramatically affect the others (‘house of cards effect’); and, (2) Species are
independently interacting—if you remove a species there is little or no effect on others
(‘removal has little effect’). We will be focusing on species interactions among predators
and prey in ecological communities. Distribute the student handout. Have students
write one prediction on their worksheet that could be tested to distinguish between
these two different hypotheses. Solicit two volunteers to share their predictions. [3
minutes]
3. Simulation 1—Ecology of offshore marine communities [5 minutes]
a. In your sea floor community there are a number of different species. We will be
focusing on three of them: sea otters, sea urchins, and kelp.
b. Ask for four volunteers to be ‘sea otters’, three volunteers to be responsible for
laying out paper sea urchins, and two individuals to lay out 20 paper kelp colonies.
Ask other volunteers to be responsible for calculations during the activity (to keep
track of relevant numbers on the Calculations Overhead).
c. Some ecological details of our sea floor community: (1) Sea otters are predators of
sea urchins (prey). (2) Each kelp colony supports 5-6 other species such as small
fish, sea slugs, algae, or sea horses. Kelp colonies can only persist if there is enough
space on the sea floor for them to be anchored. (3) The reproductive rate is at
‘replacement’ for the sea otters and kelp colonies, i.e. they reproduce such that the
total number of organisms will be the same in each generation unless another factor
(such as predation) intrudes. (4) If the sea urchin population rises above certain
levels, kelp colonies die due to space unavailability. [sea urchins ≥ 60, two kelp
colonies die; sea urchins ≥ 120, four colonies die; sea urchins ≥ 160, six colonies
die; sea urchins ≥ 250, all remaining colonies die.]
d. Place 20 paper sea urchins around the kelp colonies on the ‘sea floor’. If we use this
as the starting population number (Nt) and take the reproductive rate of the sea
urchins (r = 1.1), we can use our equation for exponential population growth to give
us the population number in the next generation. Thus we would add 22 more sea
urchins to our sea floor area. Simulate 4 more generations, filling in numbers on the
transparency.
4. Simulation 2—Introducing predation. Each sea otter eats 5 sea urchins per
generation. Thus, four sea otters eat 20 urchins and bring the population from 42 back
down to 22. Simulate 4 more generations. [5 minutes]
5. Simulation 3—Introducing predation in higher trophic levels. A hungry killer whale
strays into our marine community and eats one of our sea otters. With one sea otter
gone, simulate five generations of sea urchin population growth. [5 minutes]
6. Analyzing the Simulations [8 minutes]. Divide the class into 4 groups and assign
each group one question from the Questions Overhead. Each group has 3-4 minutes
to work on their question. Then have students report their answers back to the class.
Record the groups’ contributions on the board.
7. Simulation 4—Introducing logistic population growth [12 minutes]
a. One problem with using the exponential population growth equation is that it doesn’t
account for limited resources—there is only so much sea floor area for sea urchins to
live on. The sea floow in this simulation can support a maximum of 250 sea urchins.
This is the carrying capacity (K) of our sea urchin population. Knowing the carrying
capacity of a population allows us to incorporate limited resources into our
calculations of population growth. This is called the logistic population growth
equation.
b. Have students take 2 minutes to modify their original prediction to make a specific
prediction for this new simulation.
c. Simulate five generations using four sea otters for predation but with the new
equation for calculating population growth.
d. Have students take 2 minutes and evaluate their prediction.
8. Analyzing the Simulation [8 minutes]. Return to original groups and have students
reconsider their first group question using the logistic population growth equation.
[Begin a list on the chalkboard entitled “Differences with Limited Resources”
off to one side of your previous summary notes.] Have students report back after
5 minutes on how these differences altered their earlier answers. [Remind students to
write their answers down on the handout]
9. Put up the Big Questions Overhead and open up the discussion to the entire class for
the remaining class time. [~ 5 minutes]
Simulation Calculations KEY
(1) Simulation: Exponential growth, No predation
DN=Nt x r
Nt+1=DN+Nt
Generation
1
2
3
4
5
Nt
20
42
88
185
389
r
1.1
1.1
1.1
1.1
1.1
DN
22
46.2
96.8
203.5
427.9
Nt+1
42
88
185
389
817
# kelp deaths
0
2
6
all dead
all dead
Nt+1
22
26
35
54
93
# kelp deaths
0
0
0
0
2
Nt+1
27
42
73
138
275
# kelp deaths
0
0
2
4
all dead
Nt+1
20
20
20
20
20
# kelp deaths
0
0
0
0
0
(2) Simulation: Exponential growth, Predation
DN=Nt x r
1 otter eats 5 urchins each generation, 4 otters present
Nt+1=DN+Nt-20
Generation
1
2
3
4
5
Nt
20
22
26
35
54
r
1.1
1.1
1.1
1.1
1.1
DN
42
24.2
28.6
38.5
59.4
(3) Simulation: Exponential growth, Predation
DN=Nt x r
1 otter eats 5 urchins each generation, 3 otters present
Nt+1=DN+Nt-15
Generation
1
2
3
4
5
Nt
20
27
42
73
138
r
1.1
1.1
1.1
1.1
1.1
DN
42
29.7
46.2
80.3
151.8
(4) Simulation: Logistic growth, Predation
DN=Nt x r[1-(Nt/K)]
1 otter eats 5 urchins each generation, 4 otters present
Nt+1=DN+Nt-20
Generation
1
2
3
4
5
Nt
20
20
20
20
20
r
1.1
1.1
1.1
1.1
1.1
1-(Nt/K)
.92
.92
.92
.92
.92
DN
40
40
40
40
40
Group #1: What would happen if the reproductive rate
of sea otters increased from r = 1 to r = 1.3? Do the
calculations for five generations or until all kelp colonies
are dead. Note: do a separate population growth
calculation for the sea otters before calculating their sea
urchin predation.
Group #2: What would happen if the killer whale ate two
sea otters instead of one? Do the calculations for five
generations or until all kelp colonies are dead.
Group #3: What would happen if the reproductive rate
of sea urchins decreased from r = 1.1 to r = 1.04? Do
the calculations for five generations or until all kelp
colonies are dead.
Group #4: What would happen if the reproductive rate
of kelp colonies increased from r = 1 to r = 1.5? Do the
calculations for five generations or until all kelp colonies
are dead. Note: do a separate population growth
calculation for the kelp colonies before calculating their
removal due to sea urchins.
(1) Simulation: exponential growth, no predation
Generation Nt
r
DN
Nt+1
kelp deaths
1
___
___
___
___
___
2
___
___
___
___
___
3
___
___
___
___
___
4
___
___
___
___
___
5
___
___
___
___
___
(2) Simulation: exponential growth, predation
Generation Nt
r
DN
Nt+1
kelp deaths
1
___
___
___
___
___
2
___
___
___
___
___
3
___
___
___
___
___
4
___
___
___
___
___
5
___
___
___
___
___
(3) Simulation: exponential growth, predation
Generation Nt
r
DN
Nt+1
kelp deaths
1
___
___
___
___
___
2
___
___
___
___
___
3
___
___
___
___
___
4
___
___
___
___
___
5
___
___
___
___
___
Gen
Nt
r
1-( Nt/K) DN
Nt+1
kelp
deaths
1
___
___
___
___
___
___
2
___
___
___
___
___
___
3
___
___
___
___
___
___
4
___
___
___
___
___
___
5
___
___
___
___
___
___
Big Questions
Each sea otter feeds on sea urchins from many
different areas of the sea floor, which means the
outcomes of species interactions in one area apply to
many other areas. Sea otters are therefore ‘keystone
predators’ in these ecological communities. Consider:
ÿ What does our example imply about the stability of
ecological habitats? Do all species contribute equally
to stability? How does stability relate to our initial
hypotheses about species interactions?
ÿ If we discovered that a fish species living among kelp
colonies in these marine communities was
disappearing, what would a strategy to prevent it
from going extinct? Given what we know, what
should be done to preserve this fish species?
Practically, will we be able to do what needs to be
done?
ICE
Inquiry-based Curriculum Enhancement
Pre-Activity Worksheet: Species Interactions
General Description
In the activity you will do this week during your learning/discussion group, you will be
examining species interactions. In order to be prepared for this activity, complete this
worksheet.
Reading
Browse the “Community Ecology” chapter in your text. Pay particular attention to figures
54.6, 54.8, and 54.10. Read the section on the Interspecific Interactions beginning on
pages 1164-1167.
Definitions
Write a definition of the following words. Use your text, textbook glossary, and your
previous knowledge to create the best definition possible. Remember to connect your
definitions to species interactions.
1) community
2) predation
3) interspecific interactions
4) keystone species
5) hypothesis
Questions
Answer the following questions. You will explore your answers to these questions in-depth
during learning/discussion group.
1) Which type of species interaction do you think has the most influence on communities
and community structure? Defend your answer.
2) Predation and parasitism are both +/— interactions. Why do ecologists examine these
interactions separately? Which type of interaction is more common in nature? What
evidence do you have for your decision?
3) Name three keystone species of different communities that are not named in your
textbook. What leads you to believe that these species are keystone species?
ICE
Inquiry-based Curriculum Enhancement
Species Interactions
In this activity you will create some predictions regarding species interactions and use a
simulation to investigate these predictions.
Different species interact in multiple ways: species can compete for the same resource, one
species can prey on another, species can benefit each other, and in other ways. Focus
specifically on predation. We can create two hypotheses to describe predation:
A. Species are interdependent — any change in the predator or prey species will affect the
other species.
B. Species are independent — changes in the predator or prey species do not affect the
other species.
From these hypotheses, many predictions can be created; these predictions can either seek
to support or refute one or the other. For example, consider this prediction: If there are too
many predators in an ecological community, then some prey species will go extinct. If this
situation occurs in nature, then hypothesis A is more likely to describe species interactions.
Create two predictions about predator/prey interactions that each support or refute either of
the above hypotheses. Identify which hypothesis each of your predictions addresses.
Prediction 1
Prediction 2
(1) Simulation: Exponential growth, No predation
DN=Nt x r
Nt+1=DN+Nt
Generation
1
2
3
4
5
Nt
___
___
___
___
___
r
___
___
___
___
___
DN
___
___
___
___
___
Nt+1
___
___
___
___
___
# kelp deaths
___
___
___
___
___
Nt+1
___
___
___
___
___
# kelp deaths
___
___
___
___
___
(2) Simulation: Exponential growth, Predation
DN=Nt x r
1 otter eats 5 urchins each generation, 4 otters present
Nt+1=DN+Nt-20
Generation
1
2
3
4
5
Nt
___
___
___
___
___
r
___
___
___
___
___
DN
___
___
___
___
___
(3) Simulation: Exponential growth, Predation
DN=Nt x r
1 otter eats 5 urchins each generation, 3 otters present
Nt+1=DN+Nt-15
Generation
1
2
3
4
5
Nt
___
___
___
___
___
r
___
___
___
___
___
DN
___
___
___
___
___
Nt+1
___
___
___
___
___
# kelp deaths
___
___
___
___
___
Nt+1
___
___
___
___
___
# kelp deaths
___
___
___
___
___
Answers to our question
New prediction with logistic growth
(4) Simulation: Logistic growth, Predation
DN=Nt x r[1-(Nt/K)]
1 otter eats 5 urchins each generation, 4 otters present
Nt+1=DN+Nt-20
Generation
1
2
3
4
5
Nt
___
___
___
___
___
r
___
___
___
___
___
1-(Nt/K)
___
___
___
___
___
DN
___
___
___
___
___
Evaluate your prediction
Did your prediction come true in the final simulation? Why or why not?
Which hypothesis is more likely given the outcomes of the simulations? What evidence
supports the hypothesis you chose?
What changes could you make to either your predictions or the simulation details in order to
better distinguish between the two hypotheses?
Re-answer your question using logistic growth
ICE
Inquiry-based Curriculum Enhancement
Individual Accountability: Species Interactions
Demonstrate your new understanding of species interactions by answering the following
question:
Which of the following factors do you think has the greatest influence on a community —
growth rate of the prey, growth rate of the predator, the number of predators, or the
availability of food for the prey species? Defend your answer in four or five sentences. Use
examples from today’s activity to support your answer.
ICE
Inquiry-based Curriculum Enhancement
Take Home Worksheet: Species Interactions
To practice with the concepts you learned in class today, answer the following questions.
One good strategy for working with these questions is to answer them on your own to the
best of your ability, then compare your answers with a fellow student. Together you will be
able to create good answers to the questions. In all cases, be prepared to explain your
reasoning clearly and succinctly.
You were just hired as a wildlife biologist for the United States government to work in the
upper Midwest. It has recently been brought to your attention that central Wisconsin deer
populations are growing at an incredibly rapid rate in contrast to what has been the usual
case over the past 50 years. You are not an expert on the local ecology but you have
experience elucidating species interactions for marine sea floor communities. The only thing
you know for sure is that it is not because of decreased hunting by humans.
(1) What would be your first guess as to why the deer population has recently experienced
explosive growth?
(2) Calculate five generations of exponential growth for the deer population where Nt = 45
and r = 1.3.
(3) Calculate five generations of logistic population growth with the same Nt and r, and with
K = 450.
(4) If the deer population continues to grow unchecked, what consequences would you
expect for other species? Why?
(5) What policy would you recommend to keep the deer population in check, if any?
Assume you were asked to justify your policy. Respond with an ‘if-then’ predictive
statement that you believe is true of this situation and could be evaluated once your
policy is enacted.