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

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

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

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.

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.

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

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 7.1-7.4 the wet and dry bulb temperatures (C) and relative humidity (%) with the sling psychrometer + psychrometric table and measure the wind speed with the anemometer.

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

Survivorship in Populations – Activity 1 – Human Data Collection

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 0 25 50 100 Percent of maximum life span

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

Sample data Aaron, Ted, b. 1916, d. 1916 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 1800-1899. 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

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

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.

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

Survivorship in Populations – Activity 2 – Comparison Curves

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 8 105-110 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.

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.

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

Weekly Data Sheet pages What’s Due Activity Weekly Data Sheet pages Weekly Write-Up pages Atm 7 331, 336 339-340 Sur 1 419, 427, 431 435-437 Sur 2 441, 445, 449, 453, 454 PowerPoint available at: https://eeltown.org/evpp-110