Future of ecology (continued)
Lecture
graphics
To judge scientific progress, we must have an agreed-upon goal
Weiner (1995 J. Ecol. 83:153-158) indicated that ecology should
observe 3 principles: (1) strive for prediction and testable
explanations; (2) appreciate and incorporate natural history; (3)
use new approaches
- The ultimate test of ecological theory is whether ecologists can
really say anything useful about the world
- Thus, we must continuously keep applications in mind
- Keddy: "We can develop all the elegant models we wish,
live distinguished academic careers, publish
numerous well-cited papers, and so on, but the
ultimate test of the value of our work is whether
we really can make predictions about the real
world."
- Kuhn (1970, The Structure of Scientific Revolutions) noted
that scientists tend to choose "answerable" questions rather
than important ones
- We can begin by dividing scientific ideas into 2 classes:
hypotheses and concepts
- Hypotheses are predictive and falsifiable statements about
nature (i.e., candidate explanations);
- Concepts are not falsifiable, although they may be part of
every scientist's thinking. They provide a conceptual
framework which helps to organize hypotheses, and which may
lead people to new creative insights.
- Ecology has placed considerable emphasis on concepts, little
on hypotheses --> result that "we have become modern
scholastics interminably discussing questions which cannot
be solved or tested scientifically." (Peters 1980, Synthese
43:257-269; see also Peters' book, A Critique for Ecology)
- The value of different kinds of questions and different
kinds of approaches depends on the relative emphasis that we
place on hypotheses and concepts
- If the construction of ecological theory is our
objective, published studies are useful to the extent
that they allow prediction of patterns in nature
- Alternatively, concepts have utility if we see science
as an activity which expands the horizons of human
experience. In this case, we can be satisfied if we
increase our 'understanding' of nature.
- Judging the value of different research goals and methods also
requires consideration of how scientific progress actually occurs
- at one end of a continuum, data and facts are everything; at
the other end, they are unimportant and are collected only
to amplify belief systems
- Positions along the continuum, acc. to Keddy:
- Science primarily involves the patient collection of
facts
- Data are important for falsifying hypotheses, and
original hypotheses drive scientific progress
(Popperian view)
- Data are collected to solve small technical problems,
but there is a larger context or paradigm shared by
scientists
- Science is primarily political
- Science is part of the entertainment industry, and the
objective of scientific papers is to tell entertaining
stories to a well-educated audience
- Choosing a question for research
- This is the most important part of the scientific process,
and the most subjective
- Hypothesis testing is where most scientists can avoid
psychological bias, because there are specified rules to
follow
- Interpreting results of tests also may be highly subjective
- There are an infinite number of questions to be answered in
science. Why study competition, as ecologists have done for the
last several decades? Keddy suggests that the focus on
competition is closely related to the social setting of
ecologists; he offers 6 suggestions:
- Culture
- Excitement
- Gender bias
- Levels of aggression differ between genders (Maccoby
and Jacklin 1974, The Psychology of Sex Differences):
- males are more aggressive than females in all
human societies for which evidence is available
- behavioral differences arise early in life
- similar differences occur in subhuman primates
- aggression is related to levels of sexual hormones,
and can be manipulated by experimentally modifying
levels of these hormones
- Taxonomic bias
- Ecological research is highly atypical of organisms
occupying the earth
- Scientific community structure
- W/in the scientific system itself there is competition
for ltd. research funding, and competition for space in
journals--likewise w/in academic depts
- Elitism
- Relatively few indivs. set the agenda for science, and
these indivs. share a strong bias in selection of model
systems
- elites may act directly to exclude an issue
from discussion
- subordinants may anticipate the negative
reaction of elites and ignore proposals or
suggestions that would disturb the elite
- underlying values of society itself may
prevent serious consideration of alternative
programs and policies
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