Notes On A Tree Sapling

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Bivariate Relationships

Problem:

I am going to investigate if there is a relationship between the (explanatory variable) sampling height (cm) and the (response variable) height of the crown of the saplings (cm) that is measured from the base of the crown. Based from the data from study plots of either 1.5 hectares or 2.25 hectares in the Waitutu forest. Trees were randomly selected within the plots and measured during the summer. The plots were selected to be a representative sample of the vegetation growing in the alluvial and terraces sites. Saplings that I am investigating come from the Waitutu Forest, New Zealand around 2001-2008.

I believe that as the height increases the height of the crown will get taller also. I believe this because since I 'm measuring height in both of my variables you would hope there would be a relationship.

Information:

‘A tree sapling is an immature tree with a slender trunk. Depending on the species of tree, a sapling can be between three and 15 years old, and range in height from 2 to 10 feet (about 0.61 to 3.05 m). Saplings differ from seedlings, which are trees that are less than three years old. The principal attributes of a tree sapling, aside from its age, are trunk flexibility and smooth bark; mature trees generally have thicker, darker outer bark. Ordinarily, saplings do not produce fruit or flowers’ .

The height of the saplings crown is taken from the crown base which is ‘an imaginary horizontal line drawn across the trunk from the bottom of the lowest live foliage’ to the ‘crown top which is the highest point of a standing tree’. This is shown on figure 1

‘The large Waitutu State Forest, of nearly 45000 ha, lies in a rather remote setting. The heart of the rarest is 100 km nort...

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...aller also. Waitutu Forest has a mixed range of trees, as i only sampled saplings from study plots of either 1.5 hectares or 2.25 hectares i could expect my findings would be similar and could apply my findings throughout Waitutu forest. To make this investigation more specific and more accurate I could take my data of specific species in the Waitutu forest. Another thing that would need to be taken into account is the weather situation. The saplings would grow differently in other weather conditions. Because of this if you took data from a forest in the North Island of New Zealand you would expect different results due to the difference in whether. The saplings would probably grow faster in the North Island because it would be warmer.
Overall I can see the correlation between the two variables sampling height (cm) and the height of the crown of the saplings (cm).

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