1 of 66

Created by:

Students and Faculty at the University of Michigan School for Environment & Sustainability (SEAS)

Climate Change and the Future of Michigan Cherries

2 of 66

Lesson 1

The curious case of Michigan Cherries

NGSS Objectives:

HS-LS2-2. Use mathematical representations to support and revise explanations based on evidence about factors affecting biodiversity and populations in ecosystems of different scales.

HS-ESS3-1. Construct an explanation based on evidence for how the availability of natural resources, occurrence of natural hazards, and changes in climate have influenced human activity.

3 of 66

What do you know about

Michigan Agriculture? (Video)

3

4 of 66

Did you know?

4

  • 200 varieties of food are grown in Michigan
  • 10 million acres of crops
    • Approx. 44,000 sq.ft per acre
  • $90 Billion added to the state economy
  • Industry employs about 1 million people
  • MI has 2nd greatest crop diversity in the U.S. (behind CA)

5 of 66

What do you know �about Michigan cherries?

5

6 of 66

Michigan Cherries

6

  • Michigan is the nation’s #1 producer of tart cherries! (Mostly from the Traverse City area)
  • 75% of U.S. cherries are grown in Michigan!
  • Michigan cherries are a $72 million dollar industry!

7 of 66

How could you or others be affected if Michigan’s cherry crop was damaged?

Have you heard of or remembered years when Michigan had a cherry shortage?

7

8 of 66

Let’s find out more about an �issue facing Michigan cherry farmers:

Radio Story: Click to Listen

(:23 - 1:16)

8

9 of 66

Think-Pair-Share:

What happened in 2012?

  • What happened to the cherries?

  • Why did it matter that the cherries bloomed early?

10 of 66

Examine Data Table 1:

Date of Year of Cherry Bloom in Traverse City

  • What do you notice about this data set?
  • Do you see any trends?
  • Do you see any differences between 2012 and the other years?
  • If so, what might explain these differences?
  • What other format could we put this data into to better analyze it?

10

11 of 66

11

Bloom Date over Time

2012

12 of 66

  • What could be causing earlier bloom dates in some years?
  • What factors might drive the cherry’s annual cycle?

12

Research in groups & with textbooks:

13 of 66

What factors might be driving or influencing annual cycles of other plants or animals you are familiar with?

Need help coming up with ideas?

13

14 of 66

Give Evidence and Reasoning �for your potential explanations:

  • Weather & climate
    • temperature
    • precipitation
    • wind
  • Sunlight

14

  • Farming methods
  • Soil quality
  • Pollination
  • Other ideas?

15 of 66

What additional evidence would we need to support that claim?

Let’s investigate the hypothesis that warmer temperatures cause earlier bloom dates.

15

Supporting Claims with Evidence

16 of 66

Examine Data Table 2:

Average March Temperature in Traverse City

  • What do you notice about this data set?
  • Do you see any trends?
  • Do you see any differences between 2012 and the other years?
  • What other format could we put this data set into to better analyze it?

16

17 of 66

17

Avg. March Temp. over Time

2012

18 of 66

Has Michigan Gotten Warmer?

18

Traverse City

19 of 66

19

2012

What do the two graphs tell us?

Avg. March Temp. over Time

Bloom Date over Time

20 of 66

Rest of class time/Homework:

  • How else could we graph the data to better see the relationship between Avg. March Temperature and Bloom Date?
  • If we plotted both sets of data on ONE graph, what would that look like?

20

21 of 66

Lesson 2

Intro to Modeling:

Graphing and Analyzing Phenology Data

NGSS Objectives:

HS-LS2-2. Use mathematical representations to support and revise explanations based on evidence about factors affecting biodiversity and populations in ecosystems of different scales.

HS-ESS3-1. Construct an explanation based on evidence for how the availability of natural resources, occurrence of natural hazards, and changes in climate have influenced human activity.

22 of 66

Lesson 1 Review

  • What happened in 2012 to Michigan cherries?
  • What did we discover through our data sets?
    • Bloom Date
    • Average March Temperature

23 of 66

23

2012

Review: What story do these graphs tell?

Avg. March Temp. over Time

Bloom Date over Time

24 of 66

24

What do you think phenology means?

Did you know we have been studying phenology?

25 of 66

Let’s learn more about phenology!

Video: Phenology and Nature’s Shifting Rhythms

25

26 of 66

How can we use �phenology to help cherry farmers?

26

27 of 66

Homework Review:

  • How else could we graph the data to better see the relationship between Avg. March Temperature and Bloom Date?
  • How could this help cherry farmers?

27

28 of 66

Create a graph to predict Bloom Date based on Avg. March temp:

28

  • What would be the:
    • Independent & dependent variables?
    • X and Y axes?
    • Units?
    • Title of the graph?

Think-Pair-Share:

29 of 66

29

Bloom Date of Tart Cherries in Michigan

as a function of Avg. March Temperature

30 of 66

Bloom Date of Tart Cherries in Michigan �as a function of March Temperature

What can you add to the graph to better predict Bloom Date based on Average March temp.?

30

31 of 66

Estimate the “line of best fit”

31

Bloom Date of Tart Cherries in Michigan �as a function of March Temperature

32 of 66

Blooming Date of Tart Cherries in Michigan as a function of March Temperature

32

What does this tell us about the relationship between variables?

33 of 66

33

  • Why might we want the equation for this line?
  • What would the equation look like?

Blooming Date of Tart Cherries in Michigan �as a function of March Temperature

34 of 66

Blooming Date of Tart Cherries in Michigan as a function of March Temperature

34

What does the equation mean?

y = -1.3(x)+173.22

35 of 66

35

y = mx + b

What is x?

Blooming Date of Tart Cherries in Michigan as a function of March Temperature

y = -1.3(x)+173.22

36 of 66

36

y = mx + b

What is y?

Blooming Date of Tart Cherries in Michigan as a function of March Temperature

y = -1.3(x)+173.22

37 of 66

37

y = mx + b

What is m?

Blooming Date of Tart Cherries in Michigan as a function of March Temperature

y = -1.3(x)+173.22

38 of 66

38

y = mx + b

What is b?

Blooming Date of Tart Cherries in Michigan as a function of March Temperature

y = -1.3(x)+173.22

June 21!

b = the Y value

When X = 0

39 of 66

39

What does the

equation enable us to do?:

y = -1.3(x)+173.22

tells us

Bloom Date = -1.3(Temp.) + 173.22

Use the rest of class time to predict Bloom Date based on Avg. March Temperature!

40 of 66

Blooming Date of Tart Cherries in Michigan as a function of March Temperature

40

Can you use the line of best fit to predict the bloom date if Avg. March temp. is: 25 degrees? 30? 45?

41 of 66

Lesson 3

Using climate and phenology data to make predictions

NGSS Objectives:

HS-LS2-2. Use mathematical representations to support and revise explanations based on evidence about factors affecting biodiversity and populations in ecosystems of different scales.

HS-LS2-7. Design, evaluate, and refine a solution for reducing the impacts of human activities on the environment and biodiversity.

HS-ESS3-4. Evaluate or refine a technological solution that reduces impacts of human activities on natural systems.

42 of 66

Blooming Date of Tart Cherries in Michigan as a function of March Temperature

42

Review: Use the line of best fit to predict the bloom date if Avg. March temp. is: 25 degrees? 30? 45?

43 of 66

Review: What did you find?

43

  • 0 degrees
  • 25 degrees
  • 30 degrees
  • 45 degrees

What did you find to be the predicted Bloom Date if Avg. March Temp. was:

  • 173 = June 21
  • 140/141 = May 19/20
  • 134 = May 13
  • 114/115 = April 23/24

44 of 66

You just created and used a model!

What are scientific models?

44

45 of 66

Why use models? What are �strengths and limitations of our model?

Strengths

Limitations

  • Variability/Accuracy
  • Extrapolation
  • Generalizability (other species, regions)
  • Doesn’t include frost data
  • Makes complicated dynamics easier to understand
  • Relatively accurate/strong power to predict
  • Helps us plan or take action

45

46 of 66

How can we make our �model more accurate?

46

Collect more data and add it to our model!

47 of 66

Let’s try it!

  • Download spreadsheet with data and graph to your laptop
  • Add Temp. and Bloom Date for years 2013, 2014 and 2015 to the data table
  • How did the addition of this data change your graph?
  • How did the equation for the line of best fit change?

47

48 of 66

Updated model:

Blooming Date of Tart Cherries in Michigan as a function of March Temperature

48

y = -1.31x + 173.62

49 of 66

Online research (5 minutes):

How is Michigan’s climate predicted to change in the future?

49

50 of 66

Changing Climate:

Warmer winters: Late winter temperatures rising faster than other seasons

+ Variability in spring freezes

May result in more freeze damage early in the growing season

50

51 of 66

51

Projected increase in annual average temperature by 2041-2070 as compared to the 1971-2000 period.

52 of 66

Use your updated model �to analyze the impact of climate change on Michigan cherries

  • According to your model, how much would the Bloom Date change if Michigan’s Avg. March Temp. (31 degrees) increased by:
    • 2 degrees? 4 degrees? 6 degrees?
  • How might this impact Michigan cherry farmers and the greater population?

52

53 of 66

What’s being done to help?

53

54 of 66

What else are �you left wondering?

What other data might you want to gather in the future to help farmers better adapt to or prepare for this issue?

54

55 of 66

How can you help to �mitigate climate change?

55

56 of 66

How can you contribute �to phenology research?

56

57 of 66

(OPTIONAL)Homework (on Worksheet 3)

57

Time to get creative! Write a memo, letter or other creative form to a cherry farmer about what you have learned in this unit.

(Details on Worksheet 3)

58 of 66

Citizen Science:

Be a phenologist for �the day

59 of 66

Article Summary: �Phenology and wildlife

  • Our question: How do changes in the phenology of wild plants affect not only humans, but other plants and animals as well?
  • In groups, fill out the article summary worksheet and get ready to present it to the class.

59

60 of 66

Review: Citizen Science

Project BudBurst is a great Citizen Science website where you can contribute to climate and phenology research by collecting and analyzing data on trees in your area

60

61 of 66

How to make observations

  • Learn phenological stages
  • Get outside!
  • Make observation using the �Single Report form
    • Latitude and longitude
    • Site description
    • Plant’s common and scientific name
  • Record in database (optional)

61

62 of 66

Phenological Stages

LEAVES/NEEDLES for coniferous or deciduous trees and shrubs

  • What could they be doing?
    • Unfolding/emerging, changing color, or dropping
  • How many leaves are doing it?
    • Early (a few of them), Middle (about half of them), and Late (almost all of them)

FLOWERS for trees, shrubs, and wildflowers

  • Are they there? How many?
    • Early, Middle, and Late stages are the same as above

FRUIT for all types of plants

  • Are they there? How many?
    • Early, Middle, and Late stages are the same as above

62

63 of 66

63

TIME TO GO OUTSIDE!

64 of 66

Debrief from the field

  • What plant did you observe?
  • What stage was your plant in? Were you surprised?
  • What types of interactions did you see?
  • How could changes in phenology alter these interactions? What makes you say that?

64

65 of 66

Why did we do this unit?

65

66 of 66

Thank you!

Climate Change �and the Future of �Michigan Cherries