posted on 2017-01-05, 03:15authored byStone, Lewis
In this thesis a variety of approaches are examined and used to
explore the dynamics, patterns and structure of ecological communities.
I address the problem of "how it is possible for a number of species to
coexist ... all competing for the same sorts of materials" (Hutchinson
1961). An ensemble model is used in an attempt to capture those factors
that make for long-term community coexistence. The model is also used as
a vehicle to explore - as well as to generate questions and hypotheses
relating to - topics currently being examined by community ecologists.
For example, the persistence and stability of ecological communities, or
the true (sometimes hidden) nature of the interaction between a pair of
species can be analysed with the aid of the model. I also study the
problem of how, by directly analysing field-data, one might detect
evidence of any community-wide processes that explain coexistence.
The model makes use of the Generalized Lotka-Volterra equations,
and is primarily based on the fundamental consumer-resource interaction,
so that in the main, competition communities are investigated. The
design of the model permits an analytical study of multi-species systems
(say 5 to 100 species). This contrasts with analyses of models normally
presented in the literature which usually describe communities of only
two or three interacting species. One feature of the ensemble model is
that it makes allowance for environmental variations (which cause
structural and/or population disturbances) by simulating the totality of
possible states to which an ecosystem can be disturbed. It was found
that feasibility - the requirement that all equilibrium populations of a
system are positive - is a key factor. In fact, virtually all of the
model's feasible states were stable. Feasibility was thus found to be a
more critical factor than stability - even though it is the latter
property which is normally concentrated on, in studies of model-ecosystems.
The model presents an interpretation of communities that spend
most of their lifetime close to an equilibrium. This limited view was
then naturally extended, and it became possible to analyse communities
that experience a relatively high disturbance rate, and therefore spend
only a minor part of their lifetime close to any equilibrium. It is
shown that persistent communities can possess the important qualities of
conservation and recovery, without necessarily appearing to possess a
stable equilibrium.
The model demonstrates that environmental variability may promote
coexistence. An examination is made of how community coexistence depends
on species' relative competitive abilities and upon their abilities to
"spread risks". As well, the response of a community to species
invasions is analysed, and a species extinction curve is derived that
corresponds qualitatively to that obtained from field-data on the
Hawaiian avifauna.
The notion of a competition community is then discussed. Although
a pair of species might appear to be competing when viewed in isolation,
their interaction could well be facilitative if viewed within a
community context. This phenomenon appears to be prevalent 1n nearly all
of the observed competition communities I examined, and can be
attributed to hidden "indirect effects" between species. The ensemble
model provides an explanation as to why these facilitations occur so
frequently.
A detailed null test is performed in order to deduce whether bird
distributions on some archipelagos are nothing more than random
assemblages, as has been argued by Connor and Simberloff (1979). The
design of the null test 1s unique and makes use of a specially
formulated C-score statistic to determine the checkerboard patterns
within biogeographic data. The test adheres faithfully to the
constraints outlined by Connor and Simberloff, whereas other attempts
reported in the literature have failed to do so. The data is shown to
have signicantly large checkerboard distributions when compared to a
null model. Even so, analysis of the New Hebrides bird data (when
examined at the family level) indicates that it is the "coexistence
principle" which shapes community organization, rather than the
"competitive exclusion principle".