Future of ecology
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A recurring theme in ecology is that some environments are
inherently unsuitable for organisms
- Since some environments are less suitable for some species than
other environments, intensity of interactions obviously will
differ between regions
- However, the terms used to describe these habitats are
difficult to quantify
- Harper (1982, After Description, in The Plant Community as a
Working Mechanism) criticized these terms as being "little
more than the observer judging what I don't think I'd like
if I was a buttercup, kangaroo, flea, beatle, etc."
- Inability to specify units for these terms has serious
consequences for the development of pop'n and community
ecology:
- We can not synthesize existing literature on
environmental gradients since we do not know how to
compare the habitats being investigated
- We can not move towards predictive ecology since we do
not know how to describe the degree of unsuitability of
a habitat to predict a particular ecological trait
- We can not evaluate many published concepts and hypotheses
that use this non-operational vocabulary
- One proposed sol'n to this problem is to measure many
environmental factors in each area being studied
- Over 60 years ago, Clements (1935 Ecology 16:342-363)
pointed out that physical and chemical measures must be
expressed in terms of plant functions and community
structure
- Clements suggested that "community phytometers are often
desirable and these range from sod cores and sown and plant
quadrats to closures of several sorts."
- Clements' suggestion seems to be the obvious way of
making this concept (unsuitability) operational
- An example: comparing stress and competition in 2 plant
communities (Keddy 1989 Fig. 7.5, p. 149)
- Gradients of exposure to waves are common features of
shorelines
- Waves produce an obvious disturbance gradient, but also
a fertility gradient (from infertile, sandy, wave-
washed beaches to fertile, organic, sheltered bays)
- To test whether this produces a stress gradient, ramets
of a common shoreline rush (Juncus pelocarpus) were
transplanted to the 2 ends of the gradient
- To measure stress differences, some plots were
cleared of all other plants
- To compare intensity of competition w/ effects of
stress, replicates were set up w/ ramets
transplanted into established veg.
- Results:
- Beaches (sand) are "stressed" compared to bays
(organic soils)
- Interference is much more intense in bays than on
beaches
- Conclusions: these sites have very different levels
of stress, and there is a clear inverse
relationship between stress and
interference
- Different levels of generality are necessary for different
ecological scales
- Ultimately, ecological theory may consist of a series of
nested models
- Specific models for mgmt. of indiv. systems will use
site-specific info and species nomenclature
- These models will be nested w/in more general
(conceptual) models dealing w/ relationships among
state variables and functional groups of organisms
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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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Keddy (1992, J. Veg. Sci. 3:157-164) suggested the following
goals for community ecology:
- Development of "assembly rules" (sensu Diamond 1975,
Assembly of species communities, pp. 342-444 in Ecology and
Evolution of Communities)
- Diamond has been criticized for the methods he proposed to create
assembly
rules; although his proposed methods were flawed, the goals he
proposed were
fine
- Objective of assembly rules:
- Given (1) species pool and (2) an environment, can we
predict the abundance of organisms actually found in
that environment?
- Development of "response rules"
- Objective of response rules:
- Given (1) a specified assemblage of spp., (2) total
species pool, and (3) a specified disturbance or treatment, can
we
predict the composition of a future community?
- Again, we need knowledge of key life-history traits in
the species pool, and the way in which spp. interact
w/
basic types of disturbances
- This requires a combination of:
- description (to delineate spp. pool, to
define initial states of systems, and to
describe naturally-occurring states resulting
from disturbances),
- comparison (of attributes of species -->
necessary ecological info on spp. in the
pool), and
- experimentation (to determine which traits
provide the capacity to predict responses to
different kinds of disturbances)
- Which systems should be studied?
- Different groups of organisms differ in their importance in
the functioning of ecosystems
- Groups also differ in abundance in the biosphere
- Let's return to studies of interactions, where we began the
semester:
- Tansley's (1914) Presidential Address to the British
Ecological Society dealt w/ contemporary issues in
studying competition
- focus on release experiments and the virtues of
generality
- Clements et al. (1929, Plant Competition: An Analysis of
Community Functions)
- included thorough review of competition concepts back
to Malthus
- extensive series of transplant experiments for studying
competition
- studies designed to assess competition for different
limited resources (light, water, nutrients)
- summary of consequences of competition for community
organization
- So, we had a clear statement of conceptual approaches for plant
ecology research over 85 yr ago, followed by a synthesis over 70 yr
ago
- What does this tell us about the progress of ecology as a
science?
- Why did it take so long for field experiments to be
popularly accepted by plant ecologists?
- Why did (& does) plant ecology continue to be dominated by
description?
- Several hypotheses:
- Human tendency to seek dichotomies
- for ecology:
- does competition or predation structure
communities?
- holistic vs. reductionist approaches
- Scientists are rewarded for solving answerable questions,
not important ones
- Focus on inappropriate study media
- Obstacles to communication
- Weiner (1995) provides positive feedback for those of us who are
critical of, and cynical about, the progress of ecology ("Ecology
should be taught with a high degree of skepticism and cynicism")
- Nontheless, there are good reasons to be optimistic about the
future of ecology
- the world needs general, predictive ecological theory for
conservation and sustained use of the natural resources
- we should be intellectually and ethically satisfied by
pursuing ecological research
- It appears that most of the obstacles to ecological research have
more to do w/ psychology of scientists than w/ ecological systems
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