Fieldwork Ready. Sara E. Vero
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References
1 Burt, T.P. and McDonnell, J.J. (2015). Whither field hydrology? The need for discovery science and outrageous hydrological hypotheses. Water Resources Research 51, 5919–5928.
2 Kirkby, M.J. (ed.) (2004). Geomorphology: Critical Concepts in Geography. Volume II. London: Routledge: Hillslope Geomorphology.
3 Maskall, J. and Stokes, J. (2008). Designing Effective Fieldwork for the Environmental and Natural Sciences. GEES Subject Centre Learning and Teaching Guide. London: GEES Subject Centre.
4 Read, D.J. (2003) Towards Ecological relevance — Progress and pitfalls in the path towards an understanding of mycorrhizal functions in nature. In: van der Heijden M.G.A., I.R. Sanders (eds.) Mycorrhizal Ecology. Ecological Studies (Analysis and Synthesis), 157. Berlin, Heidelberg: Springer.
2 Types of Fieldwork
Experimental Design
Plot Experiment
A plot experiment consists of treatments and controls arranged in experimental units of specified area, measuring the effects of those treatments (usually over time) and applying statistical analyses (Figs. 2.1–2.3). Experimental units are the individual plots or pots to which experimental treatments and their replication are independently applied (Fig . 2.4). Plot experiments are very common in agricultural research such as crop and fertilizer trials, studies of vehicle effects, and leaching and runoff studies. A major advantage of this experimental approach is that it allows multiple treatments and combinations thereof to be examined at the same time. Plot experiments are well suited to statistical analyses provided sufficient replication of plots is achieved. Individual plots can receive a variety of different measurements that can be repeated across time. For example, a plot trial used to investigate grass yield under different soil phosphorus indices could include measurements of crop (total yield, dry matter, and nutrient concentration), soil (phosphorus concentration, soil moisture), and water (nutrient concentrations in pore water in the root zone) parameters. The variety of measurements would allow a comprehensive understanding to be developed, while repetition over time may support statistical analyses. It is best to have multiple plots receiving identical treatments as natural heterogeneity of soil and landscape, even over relatively small areas, can influence measurements. Another consideration in plot studies is “edge effect.” This occurs where plots located at the edge of a row or block are subject to slightly different conditions than those in the center and may be less buffered from conditions in the rest of the field.
Fig. 2.1 Plot and row experiments at a crops research station.
Source: Colum Kennedy, Teagasc.
Fig. 2.2 Signs like these can be helpful in identifying which plots receive certain treatments.
Source: Jaclyn Fiola.
Fig. 2.3 Care should be taken when harvesting field trials to accurately record yields without damaging the plot. Make sure that your mower has appropriate tyre pressure and that the blades are set to the correct height.
Source: Sara Vero.
Fig. 2.4 Example of a field plot layout including four blocks, each with five treatments and one control. Treatments within each block are randomized.
Source: Sara Vero.
The size of plots can vary immensely, from a couple of square meters to “strip” plots, encompassing entire crop rows or even fields or parcels measuring several hectares. Smaller plots allow more treatments to be applied but may suffer from greater edge effects and the measurements within each plot will be more subject to site‐specific variables. Larger plots or strips may