Mar 7
This is the next step on thinking about our survey. Based on input, here is a new plot of observation and species data.
First individual days.
The dataset is all days from 2017-2023, Mar-Nov. 1,470 datapoints. The x axis is the number of observations on a day divided by the number of observers. The y axis is the percent of species recorded of the possible species maximum for the three distinct day periods for a month.
Relatively linear to start, up to about 8 observations/observer/day. This gets us half of the possible species.
Now a composite by calendar day. 246 datapoints - days with data summed across the 7 recent years.
Numbers are pretty scattered on the low end of observations, but close the gap at the upper right.
Comments
A couple of thoughts on the charts follow...
Top chart...I'm a little surprised we didn't get a few points above 60%
Bottom chart...like the plot on 26 Feb, the "curve" flattens out as the number of observations goes up so plotting observations per observer vice observations didn't really change the results much...but the "curve" does flatten out near 80% of the possible which is not too surprising although 90% or so might have been expected.
Bottom chart...I think plotting species per day as % of possible did reduce the spread on the high end of the observations compared to the Feb 26 chart, but apparently this approach increased the spread on the low end...
Bottom chart...based on the 23 Feb chart the points on the low end of observations per observer can be assumed to be from Spring and Fall...these challenging periods obviously result in some good days for ode detection and many bad days for observing...a real mixed bag (even when summing 7 years) so the "curve" spread on the low end is not too surprising...would be interesting to color code the dots by Spring, Summer, and Fall or by month to see if this Fall/Spring data assumption is true (similar to the 26 Feb plot).
Add a Comment