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Bream Lab: Relative Weight

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Title: Bream Lab: Relative Weight


1
Bream Lab Relative Weight
  • BIOL 3500L
  • Dr. Christopher Kodani

2
Learning Objectives (for Lab Quiz)
  • Calculate relative weight
  • Explain
  • Relative weights, below 0.8, from 0.8 to 1.0,
    above 1.0
  • Why using fish board is important
  • Discuss example from Florida Fish Wildlife
  • Identify largemouth bass, bluegill, warmouth,
    redbreast sunfish, channel catfish
  • Discuss linear and non-linear regression

3
Shelfords Tolerance Curve
  • Note Y-axis Performance
  • Could be some measure of condition
  • Speed of animal
  • Height of plants
  • of offspring

4
Relative Weight
  • For fish, condition measured as Relative Weight
  • Ratio of actual weight to standard weight
  • Similar to Body Mass Index for humans
  • CDC website http//www.cdc.gov/nccdphp/dnpa/bmi/ad
    ult_BMI/about_adult_BMI.htm

5
Standard Weight
  • What a fish should weigh
  • Depends upon
  • Size of fish
  • Species
  • Other factors (region, sex, reproductive
    condition)
  • Available in literature
  • Georgia Adopt-a-Lake Manual
  • Alabama Cooperative Extension http//www.aces.edu/
    pubs/docs/A/ANR-1193/

6
Fish Measurements
  • Florida Fish and Wildlife http//floridafisheries.
    com/Fishes/measure.html
  • Ignore girth, we only want length
  • Use fish board!

7
Calculating Relative Weight
  • Actual weight / standard weight
  • If you like, you can x100 for percentage

8
Identifying Fish
  • These could be present in Swan Lake
  • Channel Catfish
  • Look like a cat!
  • Largemouth Bass
  • Two distinct dorsal fins
  • Sunfishes a.k.a. bream (two dorsal fins merged)
  • Bluegill
  • All black ear tab
  • Redbreast sunfish
  • Has very long ear tab
  • Warmouth
  • Stripes on face

9
Fish ID Study Resources
  • Texas Parks http//www.tpwd.state.tx.us/landwater/
    water/aquaticspecies/inland.phtml
  • Virginia Fish Wildlife http//www.cnr.vt.edu/efi
    sh/families/centrarchidae.html
  • NC State University http//www.ces.ncsu.edu/nreos/
    wild/fisheries/topics/fishidentification.html
  • Tennessee Wildlife Resources Agency
    http//www.ces.ncsu.edu/nreos/wild/fisheries/topic
    s/fishidentification.html
  • Florida Fish and Wildlife http//www.ces.ncsu.edu/
    nreos/wild/fisheries/topics/fishidentification.htm
    l

10
Actual Research Example
  • Florida study shows flooding may improve some
    fishs condition
  • Florida Fish and Wildlife http//www.floridamarine
    .org/features/view_article.asp?id24545
  • Note box and whiskers plot

11
For Your Notebooks
  • Frequency Distribution Tables (separate species)
  • Body mass
  • Total length
  • Relative weight
  • Make histograms (separate species)
  • One for length
  • One for body mass
  • Scatter Plot (all fish on one)
  • Mass vs. length
  • Plus standard lab write up in your notebook, by
    next lab (10 points)

12
Frequency Distribution
  • An organized, summarized list of measurements
  • Tells number within each interval
  • Ex Ages of people in a group

13
Frequency Distribution Example
  • Bluegills (cm) 8.83, 9.25, 8.77, 10.38, 9.31,
    8.92, 10.22, 7.95, 9.74, 9.51, 9.66, 10.42,
    10.35, 8.82, 9.45, 7.84. 11.24, 11.06, 9.84, 10.75

14
Histogram
15
Scatter Plot
16
Mean
  • Mean average
  • Not the only measure of centrality!
  • Also median and mode!
  • Example
  • Bluegills (cm) 8.83, 9.25, 8.77, 10.38, 9.31,
    8.92, 10.22, 7.95, 9.74, 9.51, 9.66, 10.42,
    10.35, 8.82, 9.45, 7.84. 11.24, 11.06, 9.84, 10.75

17
Mode
  • Mode most common category
  • Bluegills (cm)
  • 8.83, 9.25, 8.77, 10.38, 9.31, 8.92, 10.22, 7.95,
    9.74, 9.51, 9.66, 10.42, 10.35, 8.82, 9.45, 7.84.
    11.24, 11.06, 9.84, 10.75

18
Median
  • Median the middle one (for odd sample size)
  • Or average of the two in the middle for even
    sample size

19
Regression
  • Makes a best fit line for data
  • We can use MS Excels Graph Wizard function
  • Enter length into column A
  • Enter body mass into column B
  • Use Graph Wizard to graph of bluegill weight vs.
    length

20
Linear vs. Non-Linear Regression
  • Linear regression
  • Assumes straight-line relationship
  • y mx b
  • Non-linear regression
  • Uses other equations for line
  • Y a bx cx2
  • In Excel, click on line
  • Add trendline
  • Choose linear or power
  • Options
  • Show equation
  • Show r2
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