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Effect of Different Variables on Species Distribution Simplified Revision Notes

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Effect of Different Variables on Species Distribution

Introduction

The distribution of a species is influenced by a variety of factors, which can be classified as:

  • Abiotic factors (non-living): e.g., light intensity, temperature, water, and nutrients.
  • Biotic factors (living): e.g., predators, competition, and disease. The method involves recording the percentage cover of a species across different coordinates and correlating it with an independent variable such as light intensity or soil pH.

Equipment List

  • Quadrat
  • 2 x tape measure
  • Equipment to measure the independent variable (e.g., photometer for light intensity).

Method

  1. Select a 5m x 5m sampling area:
  • Use a random number generator to generate 10 random coordinates within this area.
  1. Set up a grid:
  • Use two tape measures to create a set of axes for coordinates.
  1. Place the quadrat:
  • At each random coordinate, place the quadrat with its bottom left corner on the coordinate.
  1. Measure the percentage cover:
  • Count how many of the quadrat's 100 squares contain the species of interest.
  • A square should only be counted if 50% or more of it is covered.
  1. Record abiotic data:
  • At each coordinate, measure the independent variable. For example:
  • Use a photometer to measure light intensity.
  • Use a thermometer for temperature.

Risk Assessment

HazardRiskSafety PrecautionIn EmergencyRisk Level
BiohazardAllergies; contaminationWash hands after handling samplesSeek assistanceLow
Slippery surfacesSlip hazardWear suitable footwear; avoid runningSeek medical attention if neededLow

Graph/Analysing Data

  • Plot a graph of percentage cover against the independent variable (e.g., light intensity or pH).
  • Use statistical tests to analyse the data:
    • Spearman's rank correlation to determine the relationship between variables.
    • T-test or Chi-squared test to assess the significance of differences or associations.
infoNote

Conclusion

  • Correlation: Look for trends between the independent variable and species distribution.
  • For instance, higher light intensity may correlate with increased coverage of certain species.
  • Be cautious that correlation ≠ causation:
  • The observed trend may be due to a combination of factors. This investigation enables an understanding of how environmental factors influence the distribution of species, providing insights into their ecological niches.
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