1. EVPP 110 Atmosphere & Ocean Circulation – Activity 7 Survivorship – Activities 1-2
Week of November
Version 1.3. Last updated: 11/11/2018 9:23:26 PM

3. Atmosphere and Ocean Circulation –
Activity 7 – Temperature and Humidity at the Surface

4. Temperature affects amount of moisture a given volume of air can hold.
Temperature and moisture availability are important in determining what types of organisms can live in particular areas.
Temperature affects amount of moisture a given volume of air can hold.
Warm air can hold more moisture than cold air.

5. Sling psychrometer: used to determine relative humidity.
Water evaporating from wet bulb reduces temperature relative to dry bulb.
More humidity = water evaporates slower, so less difference between wet and dry bulb.
Less humidity = water evaporates faster, more difference between them.

6. Difference between wet and dry bulb temp
Relative humidity table (wet/dry bulb method)
Dry bulb temp.
Difference between wet and dry bulb temp
18° C
10° C
Wet bulb temp.
Reservoir
of water
Wet cloth wick
Difference between wet bulb and dry bulb = 18 – 10 = 8

7. Table 7.1. Wet and dry bulb temperatures (°C), % relative humidity and wind speed (km/h) by group for forested location
Temperature (C)
Location Type
Group #
Wet Bulb
Dry Bulb
RH (%)
Wind Speed (km/h)
Forest 1 2 3 4 5 6
Mean
Chose four observation locations, one from each category; forest, grass, parking lot and adjacent to a building.
At each location, record in Tables the wet and dry bulb temperatures (C) and relative humidity (%) with the sling psychrometer + psychrometric table and measure the wind speed with the anemometer.

8. Record data from all other groups on your data sheets
Table 7.1
Temperature (C)
Location Type
Group #
Wet Bulb
Dry Bulb
RH (%)
Wind Speed (km/h)
Forest 1 2 3 4 5 6
Mean
Table 7.2
Temperature (C)
Location Type
Group #
Wet Bulb
Dry Bulb
RH (%)
Wind Speed (km/h)
Field (grass) 1 2 3 4 5 6
Mean
Table 7.3
Temperature (C)
Location Type
Group #
Wet Bulb
Dry Bulb
RH (%)
Wind Speed (km/h)
Parking Lot 1 2 3 4 5 6
Mean
Table 7.4
Temperature (C)
Location Type
Group #
Wet Bulb
Dry Bulb
RH (%)
Wind Speed (km/h)
Building 1 2 3 4 5 6
Mean

10. Survivorship in Populations – Activity 1 – Human Data Collection

11. Survivorship Curves Surviving number of individuals
Type I
Fig. 1. Approximate shapes of Type I, II and III survivorship curves as number of individuals versus percent of potential life span.
Type II
Type III
Percent of maximum life span

12. Cemetery data: http://www.interment.net/data/us/oh/delaware/oakgrove/
Sample each deceased individual born between 1800 and 1899.
Table 1.1. Surname ranges assigned to each pair for human data collection from online cemetery records
Table 1
A-Fl
Table 2
Fo-O
Table 3
Pa-Z

13. Sample data
Aaron, Ted, b. 1916, d Abbott, Anna, b. 1862, d. 01/01/1909, Abbott, Ashford Wellington, b. 05/12/1856, d. 11/15/1932, Abbott, Edith, b. 03/26/1885, d. 10/17/1961, Abbott, H. B., b. 03/--/1889, d. 03/18/1889
Abbott, Ella Josephine, b. 1860, d. 12/26/1957 Abbott, Frank Richard, b. 06/30/1919, d. 04/12/1980
Adair, Frank Byers, b. 1877, d. 07/--/1877,
Don’t sample, not born between
Sample, assume female.
Sample, assume male.
Don’t sample, gender unknown.
For each sampled individual, record gender and age at death.
Males
Females
Birth year
Death year
Age at death
1856
1932 76
1862
1909 47
1877
1885
1961
1860
1957 97
Table 1.2. Age at death data for individuals by gender, collected by a student pair

14. Compile data from Table 1.2 into Table 1.3
Review Table 1.2 data collected by each group.
Place tick marks as you compile data into “tally” column.
Determine number of males and females that died in each age category.
Age class
Male deaths
Female deaths
Tally
Total
< 1 5
1-4
5-9
10-14
15-19
Table 1.3. Student pair data for age at death by gender compiled into group data for age at death by age class and gender

15. Female Deaths (by table)
Table 1.4. Age at death data by gender and age class for all groups
Age
Class
Male Deaths (by table)
Female Deaths (by table) 1 2 3
Total
< 1   
1-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
Transfer group data to Table 1.4.

16. Data for humans Transfer data from Table 1.4 to 1.5.
Table 1.5. Number of deaths and surviving individuals by age class for males, females and males + females combined for class-wide data
Age Class
Males
Females
Males + Females
# deaths
# surviving
< 1 2
248 4
246 6
494
1-4
242
240 12
482
5-9 1
241 3
237
478
10-14
235
475
15-19

17. Survivorship in Populations – Activity 2 – Comparison Curves

18. Age Range for Class (years)
Age Class #
Age Range for Class (years)
Human Survivorship
# surviving
% surviving
Initial pop. Size
500
100 1
0-14
475 95 2
15-29 3
30-44 4
45-59 5
60-74 6
75-89 7
90-104 8
Table 2.1. Human survivorship data as number and percent surviving by age class for class-wide data from Activity 1
Consolidate data from Table 1.5 in Activity 1 into Table 2.1.
Condense data into the smaller number of age classes shown in Table 2.1.
Complete Table 2.1 by calculating the % surviving in each age class.

19. Age Range for Class (Stage) High Arctic Moth Survivorship
Table 2.2. High Arctic moth survivorship data as number and percent surviving by age class
Age Class #
Age Range for Class (Stage)
High Arctic Moth Survivorship
# surviving
% surviving
Egg (= initial pop. Size) 85
100 1
Instar I 71 2
Instar II 59 3
Instar III 49 4
Instar IV 26 5
Instar V 14 6
Instar VI 7
Pupa 8
Adult moth
Calculate % surviving in each age class, using “# surviving” data.

20. 100 90 80 70 60 50 40 30 20 10
Discussion Questions 1 2 3 4 5 6 7 8 9
Graph % surviving data by age class for humans and five species (Fig 2.1).
Graph will have six lines.
Label each line or use different color/patterns.
% of surviving colonies
Fig 2.1. Survivorship as percent of survivors by age class (no units) for humans, ground squirrels, bull trout, annual bluegrass, high arctic moth and finch.
Age class

21. Weekly Data Sheet pages
What’s Due
Activity
Weekly Data Sheet pages
Weekly Write-Up pages
Atm 7
331, 336
Sur 1
419, 427, 431
Sur 2
441, 445, 449, 453, 454
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