6a book chapter (2005) food webs kokkoris
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7/30/2019 6A Book Chapter (2005) Food Webs Kokkoris
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--------3.0 I POPULATION
DYNAMICS AND FOOD
WEBS: DRIFTING
AWAY FROM THE
LOTKA- VOLTERRA
PARADIGM
Giorgos D. Kokkoris
Food webs are networks that depict consumer-resource interactions
(links) among species or trophic species (nodes). This approach has
been given a mathematical representation by the use of Lotka-Volterra
population and community dynamics, and may including basic biotic
relationships as intraspecific competition and predation, including par-
asitism. The central theme of food web research is the understanding ofstructure, function, dynamics, and complexity. In order to be able to pre-
dict food web behavior under external and internal effects, biotic, and
abiotic influences we need to be able to answer the question, "What
drives food web dynamics?" (see Scharler et al., Chapter 8.3). The suc-
cess in fulfilling this task will determine in part the management of our
ecosystems towards sustainability (see Section 7). Unfortunately, there is
little use of food web models in environmental management. Reasons
for that stem from the fact that theoretical ecologists rarely care toaddress practical problems and managers are reluctant to use food web
models to predict.
Do we really need to consider a new view of food webs and biotic com-
munities in the dawn of the twenty-first century? Are there any impor-
tant factors that have not been included in the study of natural food 71
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webs so far? Forces that act on food webs actually affect both the nodes
and the links of the graphical representation of a food web. There is now
enough evidence that both components of food webs need to be recon-
sidered and utilized approaches to be revised in future work.Populations are usually described only through reproduction and mor-
tality. But populations consist of individuals that grow and develop and
not all predator and prey individuals are identical (see De Roos and
Persson, Chapter 3.2). Life history variation among species, expressed as
different generation times influences population growth (see Scharler
et al., Chapter 8.3). Predation pressure may induce defences to some of
the individuals of the population of their prey, creating heterogeneity in
the prey population (see Vos et al., Chapter 3.4). Traditional approaches
ignore the dynamics resulting from the previously described aspects of
heterogeneity within the populations. This missing heterogeneity may
be an important determinant of the observed pattern and processes on
food webs and community level properties such stability, resilience, and
persistence.
One of the valid criticisms that have been developed is that interaction
between species can be described by a linear function of their densities
(Pimm, 1982). This is the ecological equivalent of the Law of Mass Action
that has been inherited to younger Ecology from older Chemistry.
Applied to community processes, this law states that if the individuals in
populations mix homogeneously, the rate of interaction between two
species is proportional to the product of the numbers of individuals in
each of the species concerned. As a result, predators for instance keep
consuming their prey independently of their density, which certainly
cannot be true in real systems. Responding to the call for more mecha-
nistic models, Fretwell (1977) and Oksanen et al. (1981) studied food
chains representing interactions that accounted for functional andnumerical response of predators. Integration of non-linear dynamics
into food web models has taken place recently as a result of significant
advances in computing power that is a sine qua non of such approaches
(Drossel et al., 2004, see also Dell et al., Chapter 8.1).
Food web models that follow the dominant Lotka-Volterra paradigm
use emergent food web properties such as diversity (species richness)
and connectance to determine other food web characteristics (Jansen
and Kokkoris, 2003). Traditional community assembly models ignoreadaptation processes (Kokkoris et al., 1999). But food webs evolve and
these models fail to provide clear mechanisms explaining how these
characteristics and structure emerge. The ecological interactions among
species in a community and the role they play in adaptation (behavioral,
developmental, or evolutionary) of species traits such as body size are
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usually left out (B0hn and Amundsen, 2004). Ecological interactions are
the structuring links in all food webs and the patterning of them is themajor factor in the stability, resilience, and persistence of biotic com-
munities (for a review see Berlow et al., 2004).
Kondoh (see Chapter 3.3) criticizes this static representation of nature.
For instance, if a trait that influences the strength of trophic interactions
is controlled by adaptation, then the food web architecture should
change in a way that is favored by this adaptation. These changes influ-
ence population dynamics and consequently the stability of the food
web (Kondoh, 2003a). Few pioneering studies also have recently investi-gated how complex food webs emerge from evolutionary community
assembly processes (Drossel et al., 2004; Loeuille and Loreau, 2005;
McKane and Drossel, Chapter 3.1). These studies provide useful insights
on the evolution of food webs and should be developed further to allow
invasions (or speciation) of species that possess characteristics that
may be quite different from those that already exist in the community
under study.
The points previously laid out are motivated from the chapters in thissection of the volume are part of the challenge in developing testable
predictions from food web studies. The chapters of this section clearly
justify the new approaches needed in the face of global change and
extinction crisis (Lawton and May, 1995). Food web ecologists move
gradually away from the dominant paradigm in the discipline and if this
is combined with a willingness to address practical issues, their models
will be of good service to environmental management and biodiversity
conservation.