More Fun Than
Fun: What Do Dogs (and Other Animals) Do All Day and All Night?
RAGHAVENDRA
GADAGKAR The Wire
Free-ranging dogs
in Gayeshpur, a township close to the IISER Kolkata campus. Photo: Sourabh
Biswas, a PhD student researching stray-dog behaviour and ecology.
The amount of
time an animal spends performing different tasks is called its time-activity
budget.
Raghavendra
Gadagkar recalls the time he spent figuring out the time-activity budget of
wasps in Bangalore’s Cubbon Park, and the research insights that simple
exercise led to.
More recently,
two scientists who determined the time-activity budgets of free-ranging dogs in
West Bengal made a surprising discovery as well.
My inspiration
for this essay comes from reading a paper entitled ‘Time-activity budget of
urban-adapted free-ranging dogs’, by Arunita Banerjee and Anindita Bhadra,
published in the journal acta ethologica on September 8. This study
provides a rigorous quantitative answer to the question raised in the title of
my essay, at least for stray dogs in India.
People often ask
me why I like some papers more than others. One of my answers is that a paper
should make me jealous that I did not write it. This feeling can only come if I
could easily have conducted that study and written the paper, at least in
principle. Arunita and Anindita’s paper has the potential of making every
citizen of India jealous because any one of us could have done their study and
could have done it anytime in the last 100 years, if not earlier.
But there is also
another reason why this paper moved me so much. It brought back fond memories
of my own research in the late 1970s and early 1980s, when I was studying the
Indian paper wasp Ropalidia marginata as a hobby. At that time, I was
a doctoral student at the Microbiology and Cell Biology Laboratory at the
Indian Institute of Science (IISc), Bangalore, studying the interaction between
bacteria and their viruses. But my heart was split between the molecular
biological research that I loved very much and the exciting goings-on at the
Centre for Theoretical Studies (CTS) at IISc. In CTS, I often hung around the
famous ecologist Madhav Gadgil and his students. Madhav Gadgil had established
a field research station in the nearby Bandipur Tiger Reserve and National
Park.
Chital and other
animals in Bandipur
Gadgil’s aim was
to initiate long-term ecological studies at Bandipur. His student H.C.
Sharatchandra camped full-time in the park, and Gadgil regularly visited from
Bangalore. At the end of the first year of their study, they published an
inspiring account entitled ‘A year of Bandipur’ in the Journal of Bombay
Natural History Society in December 1975. They summarised their
preliminary findings thus:
“Bandipur is a
dry deciduous forest dominated by Anogeissus
latifolia and Tectona grandis. The study area of 23 sq km supported a
population of 800 chital (Axis axis), 90 elephants (Elephas maximus), 20 sambar
(Cervus unicolor), 40 wild dogs (Cuon alpinus), over 10 panthers (Panthera
pardus) and 10 or fewer tigers (Panthera tigris) and a small number of gaur
(Bos gaurus), barking deer (Muntiacus muntjack), wild pig (Sus scrofa), and
sloth bear (Melursus ursinus).”
As a
city-dweller, I found this kind of science mesmerising. But one of
Sharatchandra’s projects captivated me even more. He was especially watching
chital, to understand how they spent their time. What could be a more
common-sense approach to science, I thought to myself.
A few years
later, Sharatchandra and Gadgil reported that they had observed randomly
chosen chital and recorded their behaviours until they went out of sight. From
6,500 such observations during daylight hours, they determined how much time
chital spent performing different tasks.
Such
apportionment of time is called a time-activity budget or, simply, a
time-budget. To make a time-budget, they first categorised chital activity into
eight categories: locomotion, anti-predator behaviour, grooming, trophic
behaviour, fighting, play, displays and sexual behaviour.
They found that
chital, in general, spent 80-90% of their time in trophic behaviours, 4-8% in
antipredator behaviours, less than 6% fighting, less than 5% in display, just
about 1% or less in locomotion, a similar amount in grooming, about 2% in play
and about 0.5% in sexual behaviour.
Next, they
separately calculated time-budgets for juveniles, adult females, adult males in
velvet and adult males with hard antlers – and found interesting differences
between the different life stages. For example, males with hard antlers spent
relatively less time on trophic behaviours and relatively more time in display,
fighting and locomotion. Adult females spent relatively more time in
anti-predatory behaviours, and the juveniles spent more time in play.
Clearly, chital
in different life-stages apportioned their time to different behaviours in an
adaptive manner. I looked for but found few such data for other animal species.
The lack of data was surprising because it seemed so easy and so much fun to do
this kind of research. I could not help feeling that knowing the time-budgets
of different animals under different conditions could tell us so much about how
and why animals do what they do.
I resolved that I
would calculate the time-activity budgets for my wasps at the earliest
opportunity.
An opportunity
presented itself when I found some naturally occurring nests of R.
marginata right in the middle of Cubbon Park, in Bangalore. The park was a
frequent haunt of mine both because it was close to Central College and because
it then had an excellent public library. I spent many hours sitting in front of
the wasp nests with a notebook and pencil (often surrounded by a bunch of
curious children) and observed the insects.
As a first step,
I made a list of all that the wasps did, in plain English, as a layman would.
My list read as follows: sit with folded legs and lowered antennae; sit with
raised antennae; sit with raised antennae and wings; groom oneself; walk;
inspect the cells; feed the larvae; attack, peck or chase another wasp; absent
from the nest; return with food; building material; water or nothing; and so
on. My list grew to a little more than 100 items.
Such a list is
called an ethogram and is the first step towards conducting an observational
study of the behaviour of any animal species.
But I still
lacked two crucial ingredients for my research. For one, I did not know how to
mark the wasps for individual identification.
The Mahabaleshwar
seminar
It was my great
fortune that the world’s most famous wasp researcher, Mary Jane West-Eberhard,
came to India to participate in a seminar on ‘Evolution of Social Behaviour’
that Madhav Gadgil had organised, in October 1979. Being one of the annual
seminars on modern biology sponsored by the Tata Institute of Fundamental
Research, Ahmednagar College and the University Grants Commission, it was held
at the picturesque hill station of Mahabaleshwar, near Pune in Maharashtra.
A galaxy of the
world’s greatest experts on social behaviour, including John Maynard Smith,
William G. Eberhard, John Hurrell Crook, Robert L. Trivers and John. F.
Eisenberg participated in the seminar, apart from Mary Jane herself. We had the
unique opportunity of taking long walks with these experts in the afternoons,
which were deliberately free of formal lectures. Every one of these experts
made an indelible impression on me, and I stayed in touch with them for a long
time after that.
But Mary Jane
West-Eberhard was very special. For one thing, she was a wasp expert (some of
us call her the ‘wasp queen’!). She is also one of the kindest and most
altruistic scientists I have had the privilege of knowing. She came to
Bangalore and stayed on for a few weeks and, among many other things, she
taught me how to mark the wasps.
She also left
behind her box of Testors enamel paints that she always carried with
her when she travelled. She also left behind several thousand rupees that she
had saved from her per-diem, as a start-up grant for my research on wasp
behaviour. I set that aside, calling it the ‘Mary Jane Fund’, and it was more
than sufficient to finance my low-cost research for some years. It even
afforded me the luxury of travelling daily in an auto-rickshaw to Cubbon Park
and back.
Making unbiased
observations
The second
missing ingredient was a knowledge of how to observe the wasps without
introducing human bias. Subconscious human bias is not something that can be
avoided merely with good intentions and willpower. I needed a better way, and I
found it in the now-famous paper ‘Observational Study of Behavior: Sampling
Methods’ (1974) by Jeanne Altmann. Like thousands of other researchers (the
paper has been cited over 17,384 times), I carefully studied Altmann’s paper
and standardised a package of unbiased sampling methods to observe the wasps.
My observation
package included three methods of observation designed to reduce bias
towards the more conspicuous animals and behaviours. One involves making a
rapid scan of all the wasps on the nest and noting whatever they are doing at
that instant, much like taking a still photograph. This is called an
“instantaneous scan” or scan sampling. I made my random choices by drawing
lots: I began with small pieces of cardboard with the wasps’ names written on
them in my left pocket, and moved them one by one to my right pocket, and started
all over again.
The second method
involved randomly choosing one wasp at a time for observation and observing
only that wasp, no matter what it did. This method is called focal animal
sampling.
In the third
method, I chose a small set of very rare behaviours (which were not adequately
sampled by the other two methods) and recorded every occurrence of each of
those behaviours by any wasp in a predetermined period of time. We simply call
this method ‘all occurrences’.
Applying a
combination of these sampling methods to observe uniquely marked wasps on two
colonies in Cubbon Park, I fulfilled my dream of computing the time-activity
budget of R. marginata. The result was most surprising. Most
wasps spent about 95% of their waking hours in just six of the 100-odd
behaviours I observed. And at first sight, these six – sit and groom, sit
with raised antennae, sit with raised wings, walk, inspect cells and be absent
from the nest – seemed to be rather inconsequential to the lives of the
wasps. They were not quite in the same class as feeding, fighting and mating
But I said to
myself: if I am not to be biased towards conspicuous behaviours during
observation, why should I be biased towards seemingly important behaviours
during interpretation? So I decided to see what sense I could make of the life
of the wasps by studying the six behaviours in which the wasps found it
worthwhile to spend 95% of their time.
Indeed, there was
a most interesting pattern. While nearly every wasp devoted about 95% of its
time to these six behaviours, they varied enormously in the manner in which
they distributed their time between the behaviours. Some wasps spent
50% or more of their time sitting and grooming themselves and 10% or less time
away from the nest. Some others did the opposite, spending 70% or more of their
time away from the nest and 10% or less sitting and grooming themselves. Yet
others spent more time sitting with raised antennae than they did sitting with
folded antennae and wings or being away from the nest.
Why do the wasps’
time-budget activities vary so much? Was there a method in their madness
– a hidden pattern in their behaviour that might tell us something
profound about the organisation of their society?
Behavioural
castes
Science is a
collective activity, and I spent countless hours discussing these matters with
my friend and colleague Niranjan V. Joshi. It always helps to discuss your
science with someone who is not working in the same field.
When I joined
IISc for my PhD, it was my great fortune that I was allotted a room in the
hostel that had also been allotted to Joshi. We made great roommates. I told
him all about my observations and experiments, my results and interests,
especially during long walks back from the city after watching late-night movies.
It turned out
that quite fortuitously, Joshi was grappling with a similar problem in a
totally different context. While pursuing his PhD on the molecular
structure of polysaccharides, he was also helping another colleague, Sulochana
Gadgil, make sense of the pattern of rainfall distribution over
different parts of India. To do so, he was using a statistical technique
called principal components analysis. It became obvious to us that we
could use the same technique to make sense of the variation in the time-activity
budgets of the wasps.
Well, it worked
like a charm.
This technique
takes information on the time spent by different wasps in the six behaviours as
input and returns two new variables as output – such that most of the
information (or variation) is contained in the two new variables. For all
practical purposes, we could now focus just on the two variables, called the
principal components. When we plotted the positions of the wasps on a graph,
with principal component 1 on the X-axis and principal component 2 on the
Y-axis, we had a eureka moment. The wasps arranged themselves in three distinct
clusters.
Our data revealed
that wasps in the first cluster spent most of their time sitting and grooming,
so we called them ‘Sitters’. Wasps in the second cluster were very active in
fighting with each other, so we called them ‘Fighters’. And wasps in the third
cluster spent a lot of time away from the nest, so we called them ‘Foragers’.
When workers in a
colony specialise in different tasks, they are called castes. In advanced
societies, such as those of ants, the different castes are also morphologically
different. In our case, the Sitters, Fighters and Foragers were morphologically
indistinguishable, so we called them behavioural castes. (Morphology
refers to the forms and features of an individual body.)
The construction
of time-activity budgets and the consequent discovery of behavioural castes in
the Indian paper wasp was an early success that laid the foundation for nearly
everything my students and I have discovered about this fascinating species in
the nearly 40 years of subsequent research. During data analysis, I had
deliberately not treated the queens of the wasp colonies any differently than I
had treated the workers. So after the analysis, we could ask: where was the
queen in this pattern? Was she a Sitter, a Fighter or a Forager?
Because queens in
similar species were known to be aggressive individuals that suppressed their
workers through physical intimidation, we naturally expected the queens
of R. marginata to be Fighters. But we were most surprised to see
that our queens belong to the Sitters. A counter-intuitive result like this is
a powerful catalyst for rapid progress, as it served in our case.
Over the years,
my students and I discovered that queens could afford to be meek and docile
Sitters because they rub their non-volatile pheromones onto the nest’s surface
to signal their presence to their workers. The workers regulate their own
foraging and other activities through a process of decentralised
self-organisation. Pre-designated potential queens periodically replace queens
in a remarkably conflict-free process.
Our early
knowledge of the time-activity budgets of the wasps continues to steer our
research in newer and unexpected directions four decades on.
What do dogs do
with their time?
Let us now return
to Arunita Banerjee and Anindita Bhadra’s study of the time-budgets of dogs.
Their study surpasses those of the chital and paper wasps I have just described
on several counts.
First, let us
spare a thought for young Arunita, who collected the data. The ethogram came
from the combined observations of all the members of Anindita’s ‘Dog Lab’
for 12 years. Anindita tells me that their latest count for the total
number of unique dog behaviours is 177 – and counting. But the time-activity
budgets were made by Arunita by the method of instantaneous scanning. Her data
constitutes 5,669 sightings over one year.
To make these
sightings, Arunita walked day and night, in predetermined routes and at
randomly chosen spots, in several suburban regions of West Bengal, including
the campus of IISER Kolkata, Gayeshpur, Haringhata, Kanchrapara, Kalyani,
Halisahar, Naihati, Barrackpore, Balindi, Jaguli and Mohanpur. Whenever she saw
a dog, she noted, initially in her pocket notebook and later on her phone, the
age, sex and behaviour of the dog as well as the date, time and location of the
sighting.
Arunita told me
in an email:
“On weekends, I
would purchase a to and fro ticket from Kalyani station with the destination
being Barrackpore, which was nine stations away. Train stations in the
pre-pandemic times were centres of bustling human activity, with multiple
eateries, rickshaw stands and major bus stands nearby. This ensured that there
was no dearth of dogs in the area; in fact, many lived in the stations because
it served as a good source for both food and shelter. So now I would board the
train at Kalyani, and depending on the halts in the particular train’s route, I
would deboard randomly at one of these ten stations.
Once I was done
scanning the station premises and the adjoining areas for dogs, I would take
the next train, in whichever direction it might be and deboard again at a
different station.”
With these
sightings and applying clever statistical techniques that I will not go into,
Arunita and Anindita calculated the time-budgets of the Indian stray or
free-ranging dog, or at least of those that live in West Bengal.
The dog’s
time-activity budget averaged over males and females, at different times of the
day and different age classes.
Notice that the
most common behaviour is that of being inactive while those of showing various
active postures and gaits, foraging and feeding, vocalisation and play occupy
decreasing amounts of the dogs’ time.
What I have
presented here is only an average time budget that hides much interesting
variation across the time of day and seasons of the year – not to mention the
age, sex and the physical and social environment of the dogs. As it did for the
wasps, the dog time-budget will raise many questions and is sure to guide
Anindita Bhadra and her students on a path of discovery, to yield many
surprising facts about these all too familiar animals.
One big surprise
is already evident in their research paper. It is our common perception that
dogs are primarily nocturnal. But their research has shown that stray dogs are
just as active during the day as they are at night. The canines appear to be
highly adaptive and manage to survive under most conditions created by humans.
How did they become so adaptive? Is it a by-product of domestication, or could
it be that the ability to adapt was a prerequisite for domestication?
Clearly, a
scientific understanding of dogs will tell us much – not only about dogs and
how we should adapt to them but also about evolution in general and
domestication in particular. Being found everywhere and easy to observe and
experiment with, dogs are well-suited for both basic research in ethology and
behavioural ecology and to produce knowledge relevant to society, especially in
the context of human-animal conflict. And yet, so few scientists in India study
dogs. Part of the reason seems to be that we have a very narrow definition of
what is respectable science and even of science itself.
But luckily, that
is changing. It is a matter of great satisfaction that Anindita Bhadra has
chosen to devote her career to the study of stray dogs in India. My optimism
grows at the sight of the large number of bright and passionate young
researchers being trained in her Dog Lab in IISER Kolkata. May their tribe
flourish!
Raghavendra
Gadagkar is a Department of Science and Technology (DST) Year of
Science Chair Professor at the Centre for Ecological Sciences at the
Indian Institute of Science, Bengaluru.
