Plot Sampling: Density
How do scientists measure the size of plant populations in a study area? They could count every individual plant, but you could imagine how long this would take for small plants in a large area - just imagine trying to count all of the individual blades of grass in a football field! When conducting plant ecology research on invasive or other species, scientists often select several smaller sample plots inside a larger study area. The scientists thoroughly study the smaller areas, and use information from these plots to make generalizations about the larger study area.
For plants that are large and relatively easy to count, scientists typically count each stem in a sample plot to determine the density. Density is the number of plants per area. For information on how to measure smaller plants, read about Protocol 2 and percent cover in Invasion Ecology. In this protocol we have included instructions for measuring density in 1 m2 plots. If this area is too big (for example, because plants are too dense), or too small (for example, because plants are too sparse), you may alter it to suit your needs.
Before you make measurements on your plants, you will need to determine what species you hope to study and in what study areas you will work. Refer to the Early Detection Protocol for information on how to select a study area and study species.
Once you have determined your study area and what species you will be measuring, you need to select sample plots. There are many ways to select plots, but using an accepted method will help you avoid bias. For example, imagine a research project on the side of a steep mountain. Getting to plots at the top of the mountain takes more effort than getting to plots closer to the bottom, so at the end of a long day of fieldwork, researchers might - perhaps unknowingly - select more plots near the bottom. To avoid this and other types of bias, scientists have developed several methods to locate plots in a large study area. Read about two methods you may use for locating your sample plots.
You can use the data from your plot surveys to make generalizations about density in the larger study area. To do this, you will need to compile the results for all the plots in a particular area. You can determine the average density for each of the species you measured for all your plots. After gathering together all the plot data, calculate the average density for each species found in your large study area using the formula below.
Average species density = [ (density in plot 1) + (density in plot 2) + (density in plot X) ] / total number of plots
For example, consider a series of 5 plot surveys conducted in a schoolyard. Each plot is 1 m2. Purple loosestrife was found in 4 of the plots in the following amounts: a) 85 stems, b) 53 stems, c) 64 stems, d) 33 stems.
Average species density = [ 85 + 53 + 64 + 33 + 0 ] / 5 = 47 stems/m2
You can use the average density to compare different species, to compare the same species from several different sites, and/or to compare sites where control measures have and have not been implemented. However, you cannot compare species measured using density with species measured using percent cover.
A Look at Variability
How much variability did you find in your results? Was the species density similar in all of your plots? For example, did some of your plots have very few or no plants, while other plots had a great number of plants (high variability)? Do you think your average species density is an accurate representation of what is growing in the larger study area? If not, would sampling more plots help? What could be some reasons for any variability you see?
Questions to consider
You may be interested in designing experiments that will help you answer some of the following questions.
Invasion Ecology, an EI publication, has additional protocols and suggestions for how you can measure the impact invasive species have an ecosystems.
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