PART I. FLIGHT DENSITIES AND THEIR DETERMINATION

A. LUNAR OBSERVATIONS OF BIRDS AND THE FLIGHT DENSITY CONCEPT

The subject matter of this paper is wholly ornithological. It is

written for the zoologist interested in the activities of birds. But

its bases, the principles that make it possible, lie in other fields,

including such rather advanced branches of mathematics as analytical

geometry, spherical geometry, and differential calculus. No exhaustive

exposition of the problem is practicable, that does not take for

granted some previous knowledge of these disciplines on the part of

all readers.

There are, however, several levels of understanding. It is possible to

appreciate _what_ is being done without knowing _how_ to do it; and it

is possible to learn how to carry out the successive steps of a

procedure without entirely comprehending _why_. Some familiarity with

the concepts underlying the method is essential to a full

understanding of the results achieved, and details of procedure must

be made generally available if the full possibilities of the

telescopic approach are to be realized. Without going into proof of

underlying propositions or actual derivation of formulae, I shall

accordingly present a discussion of the general nature of the problem,

conveyed as much as possible in terms of physical visualization. The

development begins with the impressions of the student when he first

attempts to investigate the movements of birds by means of the moon.

_What the Observer Sees_

Watched through a 20-power telescope on a cloudless night, the full

moon shines like a giant plaster hemisphere caught in the full glare

of a floodlight. Inequalities of surface, the rims of its craters, the

tips of its peaks, gleam with an almost incandescent whiteness; and

even the darker areas, the so-called lunar seas, pale to a clear,

glowing gray.

Against this brilliant background, most birds passing in focus appear

as coal-black miniatures, only 1/10 to 1/30 the apparent diameter of

the moon. Small as these silhouettes are, details of form are often

beautifully defined--the proportions of the body, the shape of the

tail, the beat of the wings. Even when the images are so far away that

they are pin-pointed as mere flecks of black against the illuminated

area, the normal eye can follow their progress easily. In most cases

the birds are invisible until the moment they "enter," or pass

opposite, the rim of the moon and vanish the instant they reach the

other side. The interval between is likely to be inestimably brief.

Some birds seem fairly to flash by; others, to drift; yet seldom can

their passing be counted in seconds, or even in measureable fractions

of seconds. During these short glimpses, the flight paths tend to lie

along straight lines, though occasionally a bird may be seen to

undulate or even to veer off course.

Now and again, in contrast to this typical picture, more eerie effects

may be noted. Some of them are quite startling--a minute,

inanimate-looking object drifting passively by like a corpuscle seen

in the field of a microscope; a gigantic wing brushing across half the

moon; a ghost-like suggestion of a bird so transparent it seems

scarcely more than a product of the imagination; a bird that pauses in

mid-flight to hang suspended in the sky; another that beats its way

ineffectually forward while it moves steadily to the side; and flight

paths that sweep across the vision in astonishingly geometric curves.

All of these things have an explanation. The "corpuscle" is possibly a

physical entity of some sort floating in the fluid of the observer's

eye and projected into visibility against the whiteness of the moon.

The winged transparency may be an insect unconsciously picked up by

the unemployed eye and transferred by the _camera lucida_ principle to

the field of the telescope. It may be a bird flying very close, so

drastically out of focus that the observer sees right through it, as

he would through a pencil held against his nose. The same cause,

operating less effectively, gives a characteristic gray appearance

with hazy edges to silhouettes passing just beneath the limits of

sharp focus. Focal distortions doubtless also account for the precise

curvature of some flight paths, for this peculiarity is seldom

associated with distinct images. Suspended flight and contradictory

directions of drift may sometimes be attributable to head winds or

cross winds but more often are simply illusions growing out of a

two-dimensional impression of a three-dimensional reality.

Somewhat more commonplace are the changes that accompany clouds. The

moon can be seen through a light haze and at times remains so clearly

visible that the overcast appears to be behind, instead of in front

of, it. Under these circumstances, birds can still be readily

discerned. Light reflected from the clouds may cause the silhouettes

to fade somewhat, but they retain sufficient definition to distinguish

them from out-of-focus images. On occasion, when white cloud banks

lie at a favorable level, they themselves provide a backdrop against

which birds can be followed all the way across the field of the

telescope, whether or not they directly traverse the main area of

illumination.

_Types of Data Obtained_

The nature of the observations just described imposes certain

limitations on the studies that can be made by means of the moon. The

speed of the birds, for instance, is utterly beyond computation in any

manner yet devised. Not only is the interval of visibility extremely

short, but the rapidity with which the birds go by depends less on

their real rate of motion than on their proximity to the observer. The

identification of species taking part in the migration might appear to

offer more promise, especially since some of the early students of the

problem frequently attempted it, but there are so many deceptive

elements to contend with that the results cannot be relied upon in any

significant number of cases. Shorn of their bills by the diminution of

image, foreshortened into unfamiliar shape by varying angles of

perspective, and glimpsed for an instant only, large species at

distant heights may closely resemble small species a few hundred feet

away. A sandpiper may appear as large as a duck; or a hawk, as small

as a sparrow. A goatsucker may be confused with a swallow, and a

swallow may pass as a tern. Bats, however, can be consistently

recognized, if clearly seen, by their tailless appearance and the

forward tilt of their wings, as well as by their erratic flight. And

separations of nocturnal migrants into broad categories, such as

seabirds and passerine birds, are often both useful and feasible.

It would be a wonderful convenience to be able to clock the speed of

night-flying birds accurately and to classify them specifically, but

neither of these things is indispensable to the general study of

nocturnal migration, nor as important as the three kinds of basic data

that _are_ provided by telescopes directed at the moon. These

concern:--(1) the direction in which the birds are traveling; (2)

their altitude above the earth; (3) the number per unit of space

passing the observation station.

Unfortunately none of these things can be perceived directly, except

in a very haphazard manner. Direction is seen by the observer in terms

of the slant of a bird's pathway across the face of the moon, and may

be so recorded. But the meaning of every such slant in terms of its

corresponding compass direction on the plane of the earth constantly

changes with the position of the moon. Altitude is only vaguely

revealed through a single telescope by the size and definition of

images whose identity and consequent real dimensions are subject to

serious misinterpretation, for reasons already explained. The number

of birds per unit of space, seemingly the easiest of all the features

of migration to ascertain, is actually the most difficult, requiring a

prior knowledge of both direction and altitude. To understand why this

is so, it will be necessary to consider carefully the true nature of

the field of observation.

_The Changing Field of Observation_

Most of the observations used in this study were made in the week

centering on the time of the full moon. During this period the lunar

disc progresses from nearly round to round and back again with little

change in essential aspect or apparent size. To the man behind the

telescope, the passage of birds looks like a performance in two

dimensions taking place in this area of seemingly constant

diameter--not unlike the movement of insects scooting over a circle of

paper on the ground. Actually, as an instant's reflection serves to

show, the two situations are not at all the same. The insects are all

moving in one plane. The birds only appear to do so. They may be

flying at elevations of 500, 1000, or 2000 feet; and, though they give

the illusion of crossing the same illuminated area, the actual breadth

of the visible space is much greater at the higher, than at the lower,

level. For this reason, other things being equal, birds nearby cross

the moon much more swiftly than distant ones. The field of observation

is not an area in the sky but a volume in space, bounded by the

diverging field lines of the observer's vision. Specifically, it is an

inverted cone with its base at the moon and its vertex at the

telescope.

Since the distance from the moon to the earth does not vary a great

deal, the full dimensions of the Great Cone determined by the diameter

of the moon and a point on the earth remain at all times fairly

constant. Just what they are does not concern us here, except as

regards the angle of the apex (roughly 1/2 deg.), because obviously the

effective field of observation is limited to that portion of the Great

Cone below the maximum ceiling at which birds fly, a much smaller

cone, which I shall refer to as the Cone of Observation (Figure 1).

[Illustration: FIG. 1. The field of observation, showing

its two-dimensional aspect as it appears to the observer and

its three-dimensional actuality. The breadth of the cone is

greatly exaggerated.]

[Illustration: FIG. 2. Method for determining the diameter

of the cone at any point. The angular diameter of the moon

may be expressed in radians, or, in other words, in terms of

lengths of arc equivalent to the radius of a circle. In the

diagram, the arc between C and E, being equivalent to the

radius CO, represents a radian. If we allow the arc between A

and B to be the diameter of the moon, it is by astronomical

calculation about .009 radian, or .009 CO. This ratio will

hold for any smaller circle inscribed about the center O;

that is, the arc between A'B' equals .009 C'O. Thus the width

of the cone of observation at any point, expressed in degrees

of arc, is .009 of the axis of the cone up to that point. The

cone is so slender that the arc between A and B is

essentially equal to the chord AB. Exactly the same

consideration holds true for the smaller circle where the

chord A'B' represents part of the flight ceiling.]

The problem of expressing the number of passing birds in terms of a

definite quantity of space is fundamentally one of finding out the

critical dimensions of this smaller cone. The diameter at any distance

from the observer may be determined with enough accuracy for our

purposes simply by multiplying the distance by .009, a convenient

approximation of the diameter of the moon, expressed in radians (see

Figure 2). One hundred feet away, it is approximately 11 inches; 1000

feet away, nine feet; at one mile, 48 feet; at two miles, 95 feet.

Estimating the effective length of the field of observation presents

more formidable difficulties, aggravated by the fact that the lunar

base of the Great Cone does not remain stationary. The moon rises in

the general direction of east and sets somewhere in the west, the

exact points where it appears and disappears on the horizon varying

somewhat throughout the year. As it drifts across the sky it carries

the cone of observation with it like the slim beam of an immense

searchlight slowly probing space. This situation is ideal for the

purpose of obtaining a random sample of the number of birds flying out

in the darkness, yet it involves great complications; for the size of

the sample is never at two consecutive instants the same. The nearer

the ever-moving great cone of the moon moves toward a vertical

position, the nearer its intersection with the flight ceiling

approaches the observer, shortening, therefore, the cone of

observation (Figure 3). The effect on the number of birds seen is

profound. In extreme instances it may completely reverse the meaning

of counts. Under the conditions visualized in Figure 3, the field of

observation at midnight is only one-fourth as large as the field of

observation earlier in the evening. Thus the twenty-four birds seen

from 7 to 8 P. M., represent not twice as many birds actually flying

per unit of space as the twelve observed from 11:30 to 12:30 A. M.,

but only half the amount. Figure 4, based on observations at Ottumwa,

Iowa, on the night of May 22-23, shows a similar effect graphically.

Curve A represents the actual numbers of birds per hour seen; Curve B

shows the same figures expressed as flight densities, that is,

corrected to take into account the changing size of the field of

observation. It will be noted that the trends are almost exactly

opposite. While A descends, B rises, and _vice-versa_. In this case,

inferences drawn from the unprocessed data lead to a complete

misinterpretation of the real situation.

[Illustration: FIG. 3. Temporal change in the effective

size of the field of observation. The sample sections, A and

B, represent the theoretical densities of flight at 8:20 and

12:00 P. M., respectively. Though twice as many birds are

assumed to be in the air at midnight when the moon is on its

zenith (Z) as there were at the earlier hour, only half as

many are visible because of the decrease in size of the cone

of observation.]

[Illustration: FIG. 4. Migration at Ottumwa, Iowa, on the

night of May 22-23, 1948. Curve A is a graphic representation

of the actual numbers of birds seen hourly through the

telescope. Curve B represents the same figures corrected for

the variation in the size of the cone of observation. The

dissimilarity in the two curves illustrates the deceptive

nature of untreated telescopic counts.]

Nor does the moon suit our convenience by behaving night after night

in the same way. On one date we may find it high in the sky between 9

and 10 P. M.; on another date, during the same interval of time, it

may be near the horizon. Consequently, the size of the cone is

different in each case, and the direct comparison of flights in the

same hour on different dates is no more dependable than the misleading

comparisons discussed in the preceding paragraph.

The changes in the size of the cone have been illustrated in Figure 3

as though the moon were traveling in a plane vertical to the earth's

surface, as though it reached a point directly over the observer's

head. In practice this least complicated condition seldom obtains in

the regions concerned in this study. In most of the northern

hemisphere, the path of the moon lies south of the observer so that

the cone is tilted away from the vertical plane erected on the

parallel of latitude where the observer is standing. In other words it

never reaches the zenith, a point directly overhead. The farther north

we go, the lower the moon drops toward the horizon and the more,

therefore, the cone of observation leans away from us. Hence, at the

same moment, stationed on the same meridian, two observers, one in the

north and one in the south, will be looking into different effective

volumes of space (Figure 5).

[Illustration: FIG. 5. Geographical variation in the size

of the cone of observation. The cones A and B represent the

effective fields of observation at two stations situated over

1,200 miles apart. The portions of the great cones included

here appear nearly parallel, but if extended far enough would

be found to have a common base on the moon. Because of the

continental scale of the drawing, the flight ceiling appears

as a curved surface, equidistant above each station. The

lines to the zenith appear to diverge, but they are both

perpendicular to the earth. Although the cones are shown at

the same instant in time, and have their origin on the same

meridian, the dimensions of B are less than one-half as great

as those of A, thus materially decreasing the opportunity to

see birds at the former station. This effect results from the

different slants at which the zenith distances cause the

cones to intersect the flight ceiling. The diagram

illustrates the principle that northern stations, on the

average, have a better chance to see birds passing in their

vicinity than do southern stations.]

As a further result of its inclination, the cone of observation,

seldom affords an equal opportunity of recording birds that are flying

in two different directions. This may be most easily understood by

considering what happens on a single flight level. The plane parallel

to the earth representing any such flight level intersects the

slanting cone, not in a circle, but in an ellipse. The proportions of

this ellipse are very variable. When the moon is high, the

intersection on the plane is nearly circular; when the moon is low,

the ellipse becomes greatly elongated. Often the long axis may be more

than twice the length of the short axis. It follows that, if the long

axis happens to lie athwart the northward direction of flight and the

short axis across the eastward direction, we will get on the average

over twice as large a sample of birds flying toward the north as of

birds flying toward the east.

In summary, whether we wish to compare different stations, different

hours of the night, or different directions during the same hour of

the night, no conclusions regarding even the relative numbers of birds

migrating are warranted, unless they take into account the

ever-varying dimensions of the field of observation. Otherwise we are

attempting to measure migration with a unit that is constantly

expanding or contracting. Otherwise we may expect the same kind of

meaningless results that we might obtain by combining measurements in

millimeters with measurements in inches. Some method must be found by

which we can reduce all data to a standard basis for comparison.

_The Directional Element in Sampling_

In seeking this end, we must immediately reject the simple logic of

sampling that may be applied to density studies of animals on land. We

must not assume that, since the field of observation is a volume in

space, the number of birds therein can be directly expressed in terms

of some standard volume--a cubic mile, let us say. Four birds counted

in a cone of observation computed as 1/500 of a cubic mile are not the

equivalent of 500 x 4, or 2000, birds per cubic mile. Nor do four

birds flying over a sample 1/100 of a square mile mathematically

represent 400 birds passing over the square mile. The reason is that

we are not dealing with static bodies fixed in space but with moving

objects, and the objects that pass through a cubic mile are not the

sum of the objects moving through each of its 500 parts. If this fact

is not immediately apparent, consider the circumstances in Figures 6

and 7, illustrating the principle as it applies to areas. The relative

capacity of the sample and the whole to intercept bodies in motion is

more closely expressed by the ratio of their perimeters in the case of

areas and the ratio of their surface areas in the case of volumes. But

even these ratios lead to inaccurate results unless the objects are

moving in all directions equally (see Figure 8). Since bird migration

exhibits strong directional tendencies, I have come to the conclusion

that no sampling procedure that can be applied to it is sufficiently

reliable short of handling each directional trend separately.

[Illustration: FIG. 6. The problem of sampling migrating

birds. The large square in the diagram may be thought of as a

square mile on the earth's surface, divided into four equal

smaller squares. Birds are crossing over the area in three

directions, equally spaced, so that each of the subdivisions

is traversed by three of them. We might be tempted to

conclude that 4 x 3, or 12, would pass over the large square.

Actually there are only seven birds involved all told.

Obviously, the interceptive potential of a small square and a

larger square do not stand in the same ratio as their areas.]

For this reason, the success of the whole quantitative study of

migration depends upon our ability to make directional analyses of

primary data. As I have already pointed out, the flight directions of

birds may be recorded with convenience and a fair degree of

objectivity by noting the slant of their apparent pathways across the

disc of the moon. But these apparent pathways are seldom the real

pathways. Usually they involve the transfer of the flight line from a

horizontal plane of flight to a tilted plane represented by the face

of the moon, and so take on the nature of a projection. They are

clues to directions, but they are not the directions themselves. For

each compass direction of birds flying horizontally above the earth,

there is one, and only one, slant of the pathway across the moon at a

given time. It is possible, therefore, knowing the path of a bird in

relation to the lunar disc and the time of the observation, to compute

the direction of its path in relation to the earth. The formula

employed is not a complicated one, but, since the meaning of the lunar

cooerdinates in terms of their corresponding flight paths parallel to

the earth is constantly changing with the position of the moon, the

calculation of each bird's flight separately would require a

tremendous amount of time and effort.

[Illustration: FIG. 7. The sampling effect of a square. In

Diagram A eight evenly distributed birds are flying from

south to north, and another four are proceeding from east to

west. Three appear in each of the smaller squares. Thus, if

we were to treat any of these smaller sections as a directly

proportionate sample of the whole, we would be assuming that

3 x 16, or 48, birds had traversed the square mile--four

times the real total of 12. If we consider the paths

separately as in Diagram B, we see quite clearly what is

wrong. Every bird crosses four plots the size of the sample

and is being computed into the total over and over a

corresponding number of times. Patently, just as many

south-north birds cross the bottom tier of squares as cross

the four tiers comprising the whole area. Just as many

west-east birds traverse one side of the large square as

cross the whole square. In other words, the inclusion of

additional sections _athwart_ the direction of flight

involves the inclusion of additional birds proceeding in that

direction, while the inclusion of additional sections _along_

the direction does not. The correct ratio of the sample to

the whole would seem to be the ratio of their perimeters, in

this case the ratio of one to four. When this factor of four

is applied to the problem it proves correct: 4 x 3 (the

number of birds that have been seen in the sample square)

equals 12 (the exact number of birds that could be seen in

the square mile).]

[Illustration: FIG. 8. Rectangular samples of square areas.

In Diagram A, where as many birds are flying from west to

east as are flying from south to north, the perimeter ratio

(three to eight) correctly expresses the number of birds that

have traversed the whole area relative to the number that

have passed through the sample. But in Diagram B, where all

thirty-two birds are flying from south to north, the correct

ratio is the ratio of the base of the sample to the base of

the total area (one to four), and use of the perimeter ratio

would lead to an inaccurate result (forty-three instead of

thirty-two birds). Perimeter ratios do not correctly express

relative interceptory potential, unless the shape of the

sample is the same as the shape of the whole, or unless the

birds are flying in all directions equally.]

Whatever we do, computed individual flight directions must be frankly

recognized as approximations. Their anticipated inaccuracies are not

the result of defects in the mathematical procedure employed. This is

rigorous. The difficulty lies in the impossibility of reading the

slants of the pathways on the moon precisely and in the

three-dimensional nature of movement through space. The observed

cooerdinates of birds' pathways across the moon are the projected

product of two component angles--the compass direction of the flight

and its slope off the horizontal, or gradient. These two factors

cannot be dissociated by any technique yet developed. All we can do is

to compute what a bird's course would be, if it were flying horizontal

to the earth during the interval it passes before the moon. We cannot

reasonably assume, of course, that all nocturnal migration takes place

on level planes, even though the local distractions so often

associated with sloping flight during the day are minimized in the

case of migrating birds proceeding toward a distant destination in

darkness. We may more safely suppose, however, that deviations from

the horizontal are random in nature, that it is mainly a matter of

chance whether the observer happens to see an ascending segment of

flight or a descending one. Over a series of observations, we may

expect a fairly even distribution of ups and downs. It follows that,

although departures from the horizontal may distort individual

directions, they tend to average out in the computed trend of the

mean. The working of this principle applied to the undulating flight

of the Goldfinch (_Spinus_) is illustrated in Figure 9.

[Illustration: FIG. 9. The effect of vertical components in

bird flight. The four diagrams illustrate various effects

that might result if a bird with an undulating flight, such

as a Goldfinch, flew before a moon 45 deg. above the horizon. In

each case the original profile of the pathways, illustrated

against the dark background, is flattened considerably as a

result of projection. In the situation shown in Diagram A,

where the high point of the flight line, GHJ, occurs within

the field of the telescope, it is not only obvious that a

deviation is involved, but the line GJ drawn between the

entry and departure points coincides with the normal

cooerdinates of a bird proceeding on a horizontal plane. In

Diagrams B and C, one which catches an upward segment of

flight, and the other, a downward segment, the nature of the

deviation would not be detectable, and an incorrect direction

would be computed from the cooerdinates. Over a series of

observations, including many Goldfinches, one would expect a

fairly even distribution of ups and downs. Since the average

between the cooerdinate angles in Diagrams B and C, +19 deg. and

-19 deg., is the angle of the true cooerdinate, we have here a

situation where the errors tend to compensate. In Diagram D,

where the bird is so far away that several undulations are

encompassed within the diameter of the field of view, the

cooerdinate readings do not differ materially from those of a

straight line.]

Since _individually_ computed directions are not very reliable in any

event, little is to be lost by treating the observed pathways in

groups. Consequently, the courses of all the birds seen in a one-hour

period may be computed according to the position of the moon at the

middle of the interval and expressed in terms of their general

positions on the compass, rather than their exact headings. For this

latter purpose, the compass has been divided into twelve fixed

sectors, 22-1/2 degrees wide. The trends of the flight paths are

identified by the mid-direction of the sector into which they fall.

The sectoring method is described in detail in the section on

procedures.

[Illustration: Fig. 10. The interceptory potential of

slanting lines. The diagram deals with one direction of

flight and its incidence across lines of six different

slants, lines of identical length oriented in six different

ways. Obviously, the number of birds that cross a line

depends not only on the length of the line, but also on its

slant with respect to the flight paths.]

The problem remains of converting the number of birds involved in each

directional trend to a fixed standard of measurement. Figure 7A

contains the partial elements of a solution. All of the west-east

flight paths that cross the large square also cross one of its

mile-long sides and suggest the practicability of expressing the

amount of migration in any certain direction in terms of the assumed

quantity passing over a one-mile line in a given interval of time.

However, many lines of that length can be included within the same set

of flight paths (Figure 10); and the number of birds intercepted

depends in part upon the orientation of the line. The 90 deg. line is the

only one that fully measures the amount of flight per linear unit of

front; and so I have chosen as a standard an imaginary mile on the

earth's surface lying at right angles to the direction in which the

birds are traveling.

_Definitions of Flight Density_

When the count of birds in the cone of observation is used as a sample

to determine the theoretical number in a sector passing over such a

mile line, the resulting quantity represents what I shall call a

Sector Density. It is one of several expressions of the more general

concept of Flight Density, which may be defined as the passage of

migration past an observation station stated in terms of the

theoretical number of birds flying over a one-mile line on the earth's

surface in a given interval of time. Note that a flight density is

primarily a theoretical number, a statistical expression, a _rate_ of

passage. It states merely that birds were moving through the effective

field of observation at the _rate_ of so many per mile per unit of

time. It may or may not closely express the amount of migration

occurring over an actual mile or series of miles. The extent to which

it does so is to be decided by other general criteria and by the

circumstances surrounding a given instance. Its basic function is to

take counts of birds made at different times and at different places,

in fields of observation of different sizes, and to put them on the

statistically equal footing that is the first requisite of any sound

comparison.

The idea of a one-mile line as a standard spacial measurement is an

integral part of the basic concept, as herein propounded. But, within

these limitations, flight density may be expressed in many different

ways, distinguished chiefly by the directions included and the

orientation of the one-mile line with respect to them. Three such

kinds of density have been found extremely useful in subsequent

analyses and are extensively employed in this paper: Sector, Net

Trend, and Station Density, or Station Magnitude.

Sector Density has already been referred to. It may be defined as the

flight density within a 22-1/2 deg. directional spread, or sector,

measured across a one-mile line lying at right angles to the

mid-direction of the sector. It is the basic type of density from the

point of view of the computer, the others being derived from it. In

analysis it provides a means of comparing directional trends at the

same station and of studying variation in directional fanning.

Net Trend Density represents the maximum net flow of migration over a

one-mile line. It is found by plotting the sector densities

directionally as lines of thrust, proportioned according to the

density in each sector, and using vector analysis to obtain a vector

resultant, representing the density and direction of the net trend.

The mile line defining the spacial limits lies at right angles to this

vector resultant, but the density figure includes all of the birds

crossing the line, not just those that do so at a specified angle.

Much of the directional spread exhibited by sector densities

undoubtedly has no basis in reality but results from inaccuracies in

cooerdinate readings and from practical difficulties inherent in the

method of computation. By reducing all directions to one major trend,

net trend density has the advantage of balancing errors one against

the other and may often give the truer index to the way in which the

birds are actually going. On the other hand, if the basic directions

are too widely spread or if the major sector vectors are widely

separated with little or no representation between, the net trend

density may become an abstraction, expressing the idea of a mean

direction but pointing down an avenue along which no migrants are

traveling. In such instances, little of importance can be learned from

it. In others, it gives an idea of general trends indispensable in

comparing station with station to test the existence of flyways and in

mapping the continental distribution of flight on a given night to

study the influence of weather factors.

Station Density, or Station Magnitude, represents all of the migration

activity in an hour in the vicinity of the observation point,

regardless of direction. It expresses the sum of all sector densities.

It includes, therefore, the birds flying at right angles over several

one-mile lines. One way of picturing its physical meaning is to

imagine a circle one-mile in diameter lying on the earth with the

observation point in the center. Then all of the birds that fly over

this circle in an hour's time constitute the hourly station density.

While its visualization thus suggests the idea of an area, it is

derived from linear expressions of density; and, while it involves no

limitation with respect to direction, it could not be computed without

taking every component direction into consideration. Station density

is adapted to studies involving the total migration activity at

various stations. So far it has been the most profitable of all the

density concepts, throwing important light on nocturnal rhythm,

seasonal increases in migration, and the vexing problem of the

distribution of migrating birds in the region of the Gulf of Mexico.

Details of procedure in arriving at these three types of flight

density will be explained in Section B of this discussion. For the

moment, it will suffice to review and amplify somewhat the general

idea involved.

_Altitude as a Factor in Flight Density_

A flight density, as we have seen, may be defined as the number of

birds passing over a line one mile long; and it may be calculated from

the number of birds crossing the segment of that line included in an

elliptical cross-section of the cone of observation. It may be thought

of with equal correctness, without in any way contradicting the

accuracy of the original definition, as the number of birds passing

through a vertical plane one mile long whose upper limits are its

intersection with the flight ceiling and whose base coincides with the

one mile line of the previous visualization. From the second point of

view, the sample becomes an area bounded by the triangular projection

of the cone of observation on the density plane. The dimensions of two

triangles thus determined from any two cones of observation stand in

the same ratio as the dimensions of their elliptical sections on any

one plane; so both approaches lead ultimately to the same result. The

advantage of this alternative way of looking at things is that it

enables us to consider the vertical aspects of migration--to

comprehend the relation of altitude to bird density.

If the field of observation were cylindrical in shape, if it had

parallel sides, if its projection were a rectangle or a parallelogram,

the height at which birds are flying would not be a factor in finding

out their number. Then the sample would be of equal breadth

throughout, with an equally wide representation of the flight at all

levels. Since the field of observation is actually an inverted cone,

triangular in section, with diverging sides, the opportunity to detect

birds increases with their distance from the observer. The chances of

seeing the birds passing below an elevation midway to the flight

ceiling are only one-third as great as of seeing those passing above

that elevation, simply because the area of that part of the triangle

below the mid-elevation is only one-third as great as the area of that

part above the mid-elevation. If we assume that the ratio of the

visible number of birds to the number passing through the density

plane is the same as the ratio of the triangular section of the cone

to the total area of the plane, we are in effect assuming that the

density plane is made up of a series of triangles the size of the

sample, each intercepting approximately the same number of birds. We

are assuming that the same number of birds pass through the inverted

triangular sample as through the erect and uninvestigable triangle

beside it (as in Figure 11, Diagram II). In reality, the assumption is

sound only if the altitudinal distribution of migrants is uniform.

[Illustration: FIG. 11. Theoretical possibilities of

vertical distribution. Diagram I shows the effect of a

uniform vertical distribution of birds. The figures indicate

the number of birds in the respective areas. Here the sample

triangle, ABD, contains the same number of birds as the

upright triangle, ACD, adjacent to it; the density plane may

be conceived of as a series of such alternating triangles,

equal in their content of birds. Diagram II portrays, on an

exaggerated scale, the situation when many more birds are

flying below the median altitude than above it. In contrast

to the 152 birds occurring in the triangle A'C'D', only

seventy-two are seen in the triangle A'B'D'. Obviously, the

latter triangle does not provide a representative sample of

the total number of birds intersecting the density plane.

Diagram III illustrates one method by which this difficulty

may be overcome. By lowering the line F'G' to the median

altitude of bird density, F''G'' (the elevation above which

there are just as many birds as below), we are able to

determine a rectangular panel, HIJK, whose content of birds

provides a representative sample of the vertical

distribution.]

The definite data on this subject are meagre. Nearly half a century

ago, Stebbins worked out a way of measuring the altitude of migrating

birds by the principle of parallax. In this method, the distance of a

bird from the observers is calculated from its apparent displacement

on the moon as seen through two telescopes. Stebbins and his

colleague, Carpenter, published the results of two nights of

observation at Urbana, Illinois (Stebbins, 1906; Carpenter, 1906); and

then the idea was dropped until 1945, when Rense and I briefly applied

an adaptation of it to migration studies at Baton Rouge. Results have

been inconclusive. This is partly because sufficient work has not been

done, partly because of limitations in the method itself. If the two

telescopes are widely spaced, few birds are seen by both observers,

and hence few parallaxes are obtained. If the instruments are brought

close together, the displacement of the images is so reduced that

extremely fine readings of their positions are required, and the

margin of error is greatly increased. Neither alternative can provide

an accurate representative sample of the altitudinal distribution of

migrants at a station on a single night. New approaches currently

under consideration have not yet been perfected.

Meanwhile the idea of uniform vertical distribution of migrants must

be dismissed from serious consideration on logical grounds. We know

that bird flight cannot extend endlessly upward into the sky, and the

notion that there might be a point to which bird density extends in

considerable magnitude and then abruptly drops off to nothing is

absurd. It is far more likely that the migrants gradually dwindle in

number through the upper limits at which they fly, and the parallax

observations we have seem to support this view.

Under these conditions, there would be a lighter incidence of birds in

the sample triangle than in the upright triangle beside it (Figure 11,

Diagram III). Compensation can be made by deliberately scaling down

the computed size of the sample area below its actual size. A

procedure for doing this is explained in Figure 11. If it were applied

to present altitudinal data, it would place the computational flight

ceiling somewhere below 4000 feet. In arriving at the flight densities

used in this paper, however, I have used an assumed ceiling of one

mile. When the altitude factor is thus assigned a value of 1, it

disappears from the formula, simplifying computations. Until the true

situation with respect to the vertical distribution of flight is

better understood, it seems hardly worthwhile to sacrifice the

convenience of this approximation to a rigorous interpretation of

scanty data. This particular uncertainty, however, does not

necessarily impair the analytical value of the computations. Provided

that the vertical pattern of migration is more or less constant,

flight densities still afford a sound basis for comparisons, wherever

we assume the upper flight limits to be. Raising or lowering the

flight ceiling merely increases or reduces all sample cones or

triangles proportionately.

A more serious possibility is that the altitudinal pattern may vary

according to time or place. This might upset comparisons. If the

divergencies were severe enough and frequent enough, they could throw

the study of flight densities into utter confusion.

This consideration of possible variation in the altitudinal pattern

combines with accidents of sampling and the concessions to perfect

accuracy, explained on pages 379-385, to give to small quantities of

data an equivocal quality. As large-scale as the present survey is

from one point of view, it is only a beginning. Years of intensive

work and development leading to a vast accumulation of data must

elapse before the preliminary indications yet discernible assume the

status of proved principles. As a result, much of the discussion in

A Quantitative Study of the Nocturnal Migration of Birds · 第 4 / 7 章