Question
Methods ( 10 marks ) Tables 1 and 2, below, show an edited data set of some of the components of the 'organizing framework' collected
Methods (10 marks)
Tables 1 and 2, below, show an edited data set of some of the components of the 'organizing framework' collected at two sites in Sevilleta. Note that in each of them, 'NA' means that no data are available for that variable in the relevant year. These data are also available in spreadsheet format from the 'Assessment' section of the module website.
Year | Precipitation/mm | Soil moisture/relative water content | Rabbit density/number of individualshectare1 | Coyote density/number of individualskm2 |
---|---|---|---|---|
1989 | 106.4 | NA | NA | NA |
1990 | 232.4 | NA | NA | NA |
1991 | 334.7 | NA | NA | NA |
1992 | 240.8 | NA | 0.060 | 0.880 |
1993 | 207.4 | NA | 0.272 | 0.702 |
1994 | 288.1 | NA | 0.125 | 0.793 |
1995 | 138.8 | NA | 0.246 | 0.575 |
1996 | 301.9 | 0.112 | 0.104 | 0.598 |
1997 | 325.3 | 0.123 | 0.168 | 0.703 |
1998 | 225.3 | 0.114 | 0.170 | 0.758 |
1999 | 235.7 | 0.094 | 0.138 | 1.065 |
2000 | 284.4 | 0.105 | 0.085 | 0.898 |
2001 | 214.8 | 0.095 | 0.058 | 0.945 |
2002 | 228.7 | 0.096 | 0.072 | 0.738 |
2003 | 133.2 | 0.100 | NA | 0.543 |
2004 | 301.4 | 0.112 | NA | 0.303 |
2005 | 277.4 | 0.110 | NA | NA |
Year | Precipitation/mm | NPP/gm2y1 | Arthropods/number of individualshectare1 | Rodents/number of individualshectare1 |
---|---|---|---|---|
1989 | NA | NA | NA | 268 |
1990 | NA | NA | NA | 122 |
1991 | NA | NA | NA | 102 |
1992 | NA | NA | 1193 | 439 |
1993 | NA | NA | 986 | 376 |
1994 | NA | NA | 1061 | 195 |
1995 | NA | NA | 772 | 595 |
1996 | NA | NA | 756 | 118 |
1997 | NA | NA | 1811 | 551 |
1998 | NA | NA | 795 | 305 |
1999 | 199.9 | 42.86 | 747 | 361 |
2000 | 254.1 | 49.66 | 323 | 478 |
2001 | 245.8 | 67.21 | 2416 | 148 |
2002 | 226.1 | 83.84 | 1451 | 279 |
2003 | 140.6 | 27.51 | 2158 | 695 |
2004 | 322.6 | 84.13 | 1650 | 255 |
2005 | 283.7 | 72.95 | NA | 476 |
2006 | 345.8 | 104.46 | NA | 301 |
2007 | 253.1 | 153.85 | NA | 997 |
2008 | 272.9 | 138.84 | NA | 404 |
2009 | 245 | 42.14 | NA | 654 |
2010 | 200.9 | 72.70 | NA | 202 |
2011 | 152.9 | 34.56 | NA | 239 |
2012 | 133.5 | NA | NA | 335 |
2013 | 274.1 | NA | NA | 174 |
Use the data in these tables to complete the tasks and questions outlined below.
a.Summarise what variables are present in the data for each site, including the number of replicates and the duration of the studies. (Onesentence for each site)
b.Pick two of the variables in Table1 and compose a hypothesis linking them ('Hypothesis1') that you could investigate using the data in that table. Provide an explanation of the scientific basis for your choice.
c.Looking at the data in Table2, and assuming that the majority of arthropods (such as grasshoppers) in this community eat plant material and that the rodents eat seeds and arthropods, suggest another hypothesis ('Hypothesis2') about how two of these variables might be linked to each other. Provide an explanation of the scientific basis for your choice.
d.Provide an example from either table of a link between variables that may operate with a time lag. Suggest a third hypothesis (Hypothesis 3) that describes this link.
Results (15 marks)
- a.Use a spreadsheet program to draw a graph that is suitable for investigating a correlation between the two variables in your Hypothesis 1. Use an appropriate statistical test to test for a correlation between these variables. Comment on whether your result is statistically significant.
- b.Now use a spreadsheet program to draw a graph that is suitable for investigating a correlation between the two variables in your Hypothesis 2. Use an appropriate statistical test to test for a correlation between these variables. Again, comment on whether your result is statistically significant.
- c.Finally, use your spreadsheet software to draw a graph that is suitable for investigating the correlation between the variables in your Hypothesis 3. Use an appropriate statistical test to test for a correlation between these variables. Again, comment on whether your result is statistically significant.
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