Waveform in Spring Migration Statistics
for Magee Marsh Wildlife Area (NW Ohio)
("Crane Creek State Park")

Bruce M. Bowman

June 1, 2007 (old)


INTRODUCTION

I have always supposed that the statistical peak in spring migration in the southeast Michigan area was around May 10-14, but it was never more than an assumption. In part to test this assumption I have done an analysis of 13 years' worth of data in my birding database. I am defining "peak" on the basis of number of species, not number of individuals. For an analysis of this sort all data need to be for a particular, defined birding region or location. I have a large amount of data for Magee Marsh Wildlife Area (25 miles east of Toledo; with, and sometimes called, Crane Creek State Park), so I used that rather than data for, say, Nichols Arboretum (Ann Arbor), for this analysis. It can be expected that spring migration dates for southeast lower Michigan will lag dates for Magee Marsh (northwest Ohio) by a couple of days.

METHODOLOGY

One reason for using Magee Marsh data is that Magee Marsh has sufficiently varied habitat that passerines, waterfowl, wading birds, shorebirds, and others are all represented. I used only Magee Marsh data for this analysis; i.e., I did not include additional species found at Ottawa National Wildlife Refuge, Metzger Marsh, Maumee Bay State Park, and other places that I regularly visit along with Magee Marsh Wildlife Area on my trips to Ohio. All data were collected in morning birding (7:45am and after) with continuation into the afternoon on most days. On most days I was with one to three other birders. I have included in the data all species that the group found, not just my own birds. Needless to say, I was never birding when it was pouring rain, but I never let light rain or cold weather stop me. That is, the data are not particularly constrained by weather conditions except that it is undoubtedly true that fewer of the birds present are found when the weather is bad. Predicted fallouts had little bearing on whether or not I was birding on any particular day. That said, there is a greater density of data for the first two and a half weeks of May than for any other period.

From 1995 through May 2007 I made 98 spring migration birding trips to Magee Marsh. Seventy-seven were in May; twenty-one were in April. After tabulating number of birds recorded for each date for all trips, I calculated three-day moving averages for all dates in May and the last half of April. Note that these are three-DAY moving averages, not three-POINT moving averages. Multiple data points for particular calendar dates were used if available and all data points were given full and equal weight. There were, for example, as many as five years contributing to some dates (May 8 and May 16--for instance, for May 8, 1995, 2002, 2003, 2005, and 2006). [There is, of course, a SINGLE species count for each particular birding day--e.g., May 24, 2004. If at some time in the future I supplement my data with data from other birders, there would still be a single value used for any particular birding day; I would probably use the largest of available values rather than an average.] The results are shown in a table and a graph in the Appendix. Calculation of three-day moving averages is described there in a footnote.

[I have done a similar analysis for warbler species count instead of total species count. Another analysis has determined first arrival and last departure dates for 36 warbler species found in April and May in the Magee Marsh region (not limited to Magee Marsh Wildlife Area).]

Smoothing, done here by calculating moving averages, was deemed necessary because 98 data points, while representing a lot of birding, are insufficient for simple date-by-date averages over a month and a half (in several years) to have great meaning. I.e., the plotted data show unrealistic amplitudes and numbers of peaks and valleys. If I had 40 years' worth of data, smoothing might not be needed at all--but the long-term decline in some species and effects of changes in climate would complicate the analysis. It is certain, in fact, that these factors affect even my 13 years' worth of data to some unknown degree.

I calculated both three-day and five-day moving averages. I cannot argue on any theoretical basis that one or the other is more reasonable for processing my data. However, while in analyses done prior to this year I used the five-day moving averages, I believe that I now have sufficient data that adequate smoothing is done with the three-day method--and that processing with the five-day method may now oversmooth the data. Both sets of results are shown in Table 1. I will comment on only the results for three-day smoothing. The five-day results are not fundamentally different in nature.

RESULTS

The three-day moving average shows four local peaks. These are indicated in the Table 1 by "P" notations. Related local valleys are indicated by "(-m/-n)", where m and n are depths of the valley relative to adjacent local peaks.

The overall peak of 66 (three-day average) is at May 9 to May 11. Smaller secondary peaks of 63 and 64 occur approximately a week before and a week after the primary peak. They are separated from the May 9-11 peak by valleys of significant depth--approximately 10 species. The most significant, and most clearly identified, secondary peak is at May 17, after which day-by-day average species counts decline more or less uniformly through the end of the month. The fastest rise in number of species occurs over the last week of April. These characteristics of the data are perhaps seen more easily in the graphical data of Figure 1 than in the tabular data.

SUMMARY

Thus, the waveform for total species count can be characterized as one with three peaks. The central peak is short in duration--66 species for May 9, 10, and 11. Significant 10-species valleys separate the central peak from secondary peaks of about 63 species a week earlier and a week later. An analysis for warblers count alone shows a waveform with a single peak preceded by and followed by nearly monotonic rise and fall. The long, one-week central plateau (peak) of about 18 warbler species per day extends from May 10 to 17.

To maximize both warbler count and total species count, the optimal time to bird at Magee Marsh Wildlife Area is May 10-11. May 17 stands out as a date nearly as good.

APPENDIX

Actual peaks from my database are listed at the bottom of Table 1.


TABLE 1 # of species # of species 3-day moving avg 5-day moving avg (not used) April 15 49 50 16 50 48 17 47 48 18 47 46 19 43 (-7/-20) 46 20 45 45 21 47 46 22 47 47 23 48 45 (-5/-16) 24 43 45 25 43 47 26 47 49 27 52 49 28 60 56 29 63 61 30 63 P 61 May 1 62 60 2 58 (-5/-4) 60 3 59 61 P (center of 4 61 61 59-61 plateau) 5 62 P 59 6 60 59 7 56 (-6/-10) 60 8 58 63 9 66 62 10 66 P (center of 64 P 11 66 plateau at 66) 63 12 55 (-11/-9) 62 13 59 57 (-7/-6) 14 57 59 15 60 60 16 62 63 P 17 64 P 60 18 62 59 19 34 59 20 48 53 21 57 53 22 58 55 23 56 56 24 53 55 25 53 50 26 48 49 27 47 48 28 46 46 29 47 45 30 42 44 31 40 41 Actual highs were 84 on 5-10-2006 (average=74, 3-day moving average=66) 82 on 5-10-2007 (average=74, 3-day moving average=66) 81 on 4-30-2004 (average=69, 3-day moving average=63) 79 on 5-10-2005 (average=74, 3-day moving average=66) 79 on 5-05-2002 (average=71, 3-day moving average=62) 77 on 5-22-2007 (average=60, 3-day moving average=58) 74 on 5-17-2006 (average=68, 3-day moving average=64) 72 on 5-14-2005 (average=64, 3-day moving average=57) 72 on 5-15-2002 (average=58, 3-day moving average=60) 72 on 5-17-2007 (average=68, 3-day moving average=64) The three-day moving average data are plotted in Figure 1. FIGURE 1 April May 5 10 15 20 25 30 5 10 15 20 25 30 |----|----|----|----|----|----|----|----|----|----|----|----|----| 66 *** 65 64 * 63 ** 62 * * * * 61 * 60 * * * 59 * * 58 * * * 57 * * 56 * * 55 * 54 53 ** 52 * 51 50 ************** * 49 * 48 * * * 47 ** ** * * * 46 * 45 * 44 43 * ** 42 * 41 40 *** |----|----|----|----|----|----|----|----|----|----|----|----|----| 5 10 15 20 25 30 5 10 15 20 25 30 April May Three-day moving average species count data for birding at Magee Marsh Wildlife Area
Definition - The "three-day moving average" count for a particular day is calculated as the average of all data points from that day, the day before, and the day after. The actual field data for each day are replaced by the three-day moving average value. The effect is to smooth the data. Five-day moving average data are calculated similarly by using the data points for a particular day plus the two days before and the two days after. For any year there is a single data point for any birding day. Data points for all years for which data are available are used.

Example calculation - three-day moving average for May 4

  Data
       May 3, 2001:  44
       May 4, 2002:  62
       May 4, 2003:  67
       May 4, 2005:  58
       May 4, 2006:  58
       May 4, 2007:  57
       May 5, 2002:  79
       May 5, 2004:  63
 
  Three-day moving average for May 4

  [ 44 + (62+67+58+58+57) + (79+63) ] / 8 = 61.0 = 61
  
    The value 61 (smoothed data) is used instead of the 
    average value for May 4 (which would be (62+67+58+58+57)/5 = 60).


Bruce M. Bowman
Ann Arbor, Michigan
bbowman99@comcast.net
http://www.umich.edu/~bbowman/birds/


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