Download
slide1 n.
Skip this Video
Loading SlideShow in 5 Seconds..
Societal issues relating to biodiversity Kath Crawford & Paul Beaumont PowerPoint Presentation
Download Presentation
Societal issues relating to biodiversity Kath Crawford & Paul Beaumont

Societal issues relating to biodiversity Kath Crawford & Paul Beaumont

264 Views Download Presentation
Download Presentation

Societal issues relating to biodiversity Kath Crawford & Paul Beaumont

- - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

  1. Societal issues relating to biodiversity Kath Crawford & Paul Beaumont

  2. To: Promote discussion about measurement of biodiversity Introduce methods of data analysis Explore how such activities support A Curriculum for Excellence Aims

  3. Measuring biodiversity 1 2 3 4 5 6 7 8 9 10 Taken from: http://internt.nhm.ac.uk/eb/homepage.shtml

  4. A local authority has a limited budget for conservation projects. You are asked to select one area which should be protected. So: In groups of 6 examine the data and discuss which area(s) show the greatest biodiversity Draw up a list of the factors which you might take into account when making your decisions Aims

  5. Use the data to complete the table:

  6. How do we quantify rarity? Define a quantity ‘Range-size rarity’, RSR, RSR = 1/x where x is the number of areas in which a species is found to be present

  7. Range size rarity:

  8. Range size rarity:

  9. Cladogram

  10. Cladogram Song thrush  Common shrew = 4 nodes

  11. Cladogram

  12. Complete your cladogram table…..

  13. Cladogram

  14. Taxic richness for Area 1

  15. Taxic richness for Area 10

  16. Summary/conclusions • Measurement of biodiversity is not trivial! • Before decisions about which area(s) to conserve are made, a number of factors need to be considered. These include species richness, range-size rarity and taxic richness • Species richness and taxic richness are useful indicators but their usefulness depends upon the quality of data collection