The role of the scientific method may be an under
appreciated aspect in any ecological investigation. Like astronomy, ecological
studies are typically observational. Is the any need for the whole discipline of
hypothesis, prediction and test here? I recall discussing the point with my colleague
Alec Panchen over tea in the zoology department one day. At the time my
experience was largely with observational ecology (A. J. McLachlan, 1974a,
1974b),
and I maintained that in the context of pure observation, the full scientific method
was not helpful. Alec was of a different opinion (Panchen, 1992). Now, many years later, I see
that we were both partly right. The purpose of the first observations in a
novel situation is to create hypotheses for testing (see also (Gould, 2014)). Thereafter such hypotheses
can be tested, either by further observation or, depending on the nature of the
hypotheses, by experiment. For example, research on the newly created Lake Kariba
in tropic Africa , apart for knowledge of general
ecological principles, required no specific hypotheses. Newly flooded soil
would predictably be colonised by aquatic animals and plants. Samples of mud led to discovery that larvae of
a well know invader, the chironomid midge Chironomus
transvaalensis, appeared in large numbers on freshly flooded soil. This
observation leads to the testable hypothesis that flooding caused condition favouring
C. transvaalensis. I tested the
association between flooding and C.
transvaalensis by repeating the same observations every year during the
flood season. Such a string of observations is all rather obvious and does not
require the careful thought involved in designing an experiment. It is the type
of procedure that is carried out by scientists all the time without reference
to a formal method.
But to give an
example of a simple experiment in the same situation; we wished to test the hypothesis
that the presence of the dung dropped by grazing herbivores, mainly elephants (Fig.1.),
promoted the release of nutrients and detritus during flooding (A. J. McLachlan, 1974a;
A. J. McLachlan and Ladle, 2009).
Fig.1. An old photograph of the advancing shoreline during
flooding on Lake Kariba with grazing elephants in 1965.
The test devised by Sandra McLachlan involved immersing dung or grass in water outside our lab. Implicit in her experimental design was a Control - grass only and a Treatment Control of water only. Under these carefully contrived conditions she predicted that nutrient would be released faster
and in greater quantities from dung than from a grass alone or from water alone (Fig.2.).
The result would be the creation a nutrient rich habitat for invaders in the wild.
Fig. 2. An experiment to determine the relative role of
grass and elephant dung in the release of nutrients during flooding on Lake Kariba
in 1965. Dung or grass have been immersed in lake water and allowed to soak for
a week. The resulting colour is roughly proportional to the quantity of major
inorganic and organic nutrients released. The experiment is duplicated with dung in three plastic
bags on the left and grass in the three on the right in both duplicates. From (S. M. McLachlan, 1971).
Establishing a link between herbivores and insect larvae in
this way is of interest because it illustrates an ecological principle - the
interaction between terrestrial and aquatic ecosystems during development of a
newly created lake.
A note added in April 2019
I have been rereading this essay and realise that I was really we could have done better. There is a
better way. The framework of adaptive reasoning (A. J. McLachlan and R. Ladle, 2011),
provides testable predictions to focus research effort. The regime of annual
flooding on Lake Kariba
mimics the environment experienced by organisms in the Zambezi Valley
for million of years. Organisms are thus predictably pre-adapted to flood
conditions. Therefore, invasions of animals to take advantage of flood conditions
were predictable and observations could have been tailored to selectively record
these effects. By adopting evolutionary thinking like this, it would have been
possible to focus attention within a more rigorous and intellectually rewarding
framework.
references
Gould, S. J. (2014). Stephen, J. Gould on the scientific method., http://www.atholmclachlan.blogspot.com/.
McLachlan, A. J.
(1974a). Development of Some Lake Ecosystems in Tropical Africa, with Special
Reference to the Invertebrates. Biological
Reviews, 49, 365-397.
McLachlan, A. J.
(1974b). Recovery of the Mud Substrate and its Associated Fauna Following a Dry
Phase in a Tropical Lake. . Limnology and
Oceanography, 10, 74 - 83.
McLachlan, A. J., and Ladle, R. (2009). The evolutionary ecology of detritus feeding in the
larvae of freshwater Diptera. Biological
Reviews, 84, 133-141.
McLachlan, A. J. and Ladle, R. (2011). Barriers to Adaptive Reasoning in Community Ecology. Biological Reviews. 86, 543-548.
McLachlan, A. J. and Ladle, R. (2011). Barriers to Adaptive Reasoning in Community Ecology. Biological Reviews. 86, 543-548.
McLachlan, S. M.
(1971). The rate of nutrient release from grass and dung following immersion in
lake water. Hydrobiologia, 37,
521-530.
Panchen, A. L.
(1992). Classification Evolution and the
Nature of Biology. Cambridge UK: Cambridge University Press.
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