Detailed description of the methods used, both in measurement and analysis. Careful consideration of the accuracy and precision of methods will often significantly improve the value of your results.
This section is a clear presentation of the results of your work. Graphs are generally much clearer than tables, but make sure they are properly labelled and clearly described. Although sometimes difficult to separate, here you should describe your results but not interpret them; (e.g.
Loss-on-ignition data show an upward trend through time). It will pay to give this careful thought before starting to write.
The purpose of this section is twofold. Firstly, you should try to make sense of your results and say what you think they mean (e.g. ―The upward trend in loss-on-ignition data shows increasing primary productivity through time). If you have multiple data sets, this is normally the best place to compare and report statistical analysis of relationships between them. Secondly, this is your opportunity to draw out the important aspects of your results and to place them in the context of the state-of-the-art. The implication of your results, the extent to which you have fulfilled your original aims, and any limitations and reasons for failure should all be included.
This is a summary of the key points of your work. The conclusions should address the aims of the project. Suggestions for further work are often included at the end.
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