2002). Interestingly, the methods lean heavily on ideas from
are in fact coupled. Thus, it may be that an intermediate degree
sociology, where the aim is to identify social cliques within a
of compartmentalization is the most stable.
This chapter closes, then, with a
broader society. An example is shown in Figure 20.19. Also, an
tone that has pervaded much of it:
answers are
alternative perspective has been to emphasize that what have
suggestive but uncertain. Further pro-
uncertain – but it is
been described as distinct food webs in different habitats may
important that we
often be linked by ‘spatial subsidies’ – crucial flows of energy and
gress, though, is essential. One standard
answer of ecologists to the layman’s
discover them
materials (Polis et al., 1997) – as, for example, when lake fish that
normally prey upon other fish in the pelagic (open water) food
question ‘What does it matter if we lose
that species?’ is, quite rightly, ‘But you must also consider the
web, switch to quite different prey in the benthic food web when
wider effects of that loss; losing that species may affect the whole
their preferred prey are scarce (Schindler & Scheuerell, 2002).
That is, what might seem to be separate webs are in fact com-
food web of which it is part’. The need for further understand-
partments within a larger web.
ing of those wider effects is intense.
Since no clear consensus has emerged that food webs are more
compartmentalized than would be expected by chance alone, it
Summary
would be inappropriate to argue that compartmentalization has
been ‘favored’ because compartmentalized webs persist. None
In this chapter, we shift the focus to systems that usually have
the less, since the earliest theoretical studies (e.g. May, 1972), a
consensus has emerged that communities will have increased
at least three trophic levels and with ‘many’ species.
We describe ‘unexpected’ effects in food webs, where, for
stability if they are compartmentalized, and it is easy to see
why this might be so. In the first place, a disturbance to a com-
example, the removal of a predator may lead to a decrease in
prey abundance.
partmentalized web tends to be contained within the disturbed
compartment, limiting the overall extent of the effects in the wider
The indirect effect within food webs that has received most
attention is the trophic cascade. We discuss cascades in systems
web. In addition, though, spatial subsidies between compartments
will tend to buffer individual compartments against the worst
with three and four trophic levels, and address the question of
excesses of disturbances within them. For instance, in the example
whether cascades are equally common in all types of habitat,
above, piscivorous fish, when their preferred prey are rare, may
requiring a distinction to be made between community- and
switch to the benthos rather than driving populations of those
species-level cascades. We ask whether food webs, or particular
preferred prey to extinction. The apparent contradiction between
types of food web, are dominated by either top-down (trophic
cascade) or bottom-up control. We then define and discuss the
these two justifications of the stabilizing properties of compart-
importance of keystone species.
mentalization can be resolved if we emphasize the first where a
2
Benthic producers
Bacteria <1 µm (small)
3
Bacteria >1 <2 µm (medium)
4
Bacteria >2 µm (large)
5
21
6
Acartia tonsa (copepod)7
Microciliates
20
Macrociliates
8
Predaceous ciliates
9
25
10
Chrysaora quinquecirrha(sea nettle)
24
Mnemiopsis leidyi11
(comb jelly)
12
Nemopsis bachei (jellyfish)31
26
13
Cladocera
14
Other zooplankton
45 19
Anchoa mitchilli larvae15
(anchovy)
35
Anchoa mitchilli eggs16
23
17
Fish larvae
Marenzelleria viridis18
43
22
(polychaete)
Nereis succinea (polychaete)19
18 34
Hetermastus filiformis(oIigochaete)
Other polychaetes
Corophium lacustre(amphipod)
33
Leptocheirus plumulosusOther meiofauna
41
Macoma baithica(Baltic clam)
Macoma mitchelli(rosy clam)
Rangia cuneata27
(wedge clam)
Mulinia lateralis (coot clam)28
29
Mya arenaria(soft-shelled clam)
Crassostrea virginica (oyster)30
Callinectes sapidus(blue crab)
32
Anchoa mitchilli27 4
(bay anchovy)
Micropogon undulatus(croaker)
44
34
Trinectes maculatus(hogchoaker)
1
36
Leiostomus xanthurus (spot)Cynoscion regalis (weakfish)37
Alosa sapidissima(American shad)
Alosa pseudoharengus38
40 42
(alewife)
39
Alosa aestivalis(bIue-back herring)
40
Brevoctia tyranus(menhaden)
Morone americana(white perch)
Morone saxatilis42
(striped bass)
Pomatomas saltatrix(bluefish)
Paralichthys dentatus(flounder)
Arius felis (catfish)45
Figure 20.19 Pictorial representation of the results of an analysis of a food web from Chesapeake Bay (see also Figure 20.13) in which
interactions between the 45 taxa were quantified and the taxa assigned to compartments (the number of which was not predetermined)
in such a way as to maximize the differential between the connectance within compartments (in this case 0.0099) and that between
compartments (in this case 0.000087, more than two orders of magnitude lower). Food webs may be considered compartmentalized if that
differential is sufficiently large. Arrows represent interactions and point from predator to prey: solid color, within compartments; dashed
lines, between compartments. (After Krause et al., 2002.)
Any ecological community can be characterized by its structure,
Limitations and patterns in food chain length are discussed.
We examine the evidence that food chain length is limited by pro-
its productivity and its temporal stability. The variety of meanings
ductivity, by ‘productive space’ (productivity compounded by the
of ‘stability’ is outlined, distinguishing resilience and resistance,
local and global stability, and dynamic fragility and robustness.
extent of the community) or simply by ‘space’ – but that evidence
is inconclusive. We examine, too, the arguments that food chain
For many years, the ‘conventional wisdom’ was that more
complex communities were more stable. We describe the simple
length is limited by dynamic fragility (ultimately unconvincing)
or by constraints on predator design and behavior. There is a clear
mathematical models that first undermined this view. We show
how, in general, the effects of food web complexity on popula-
need for rigorous studies of many more food webs before
acceptable generalizations can be reached.
tion stability in model systems has been equivocal, whereas for
aggregate properties of whole model communities, such as their
We examine work linking the prevalence of omnivory and
its effect on food web stability, noting that earlier work found
biomass or productivity, complexity (especially species richness)
omnivory to be rare and destabilizing, whereas later work found
tends consistently to enhance stability.
it common and with no consistent effect on stability.
In real communities, too, evidence is equivocal at the popula-
Finally, we ask whether food webs tend to be more com-
tion level, including both studies that have examined the rela-
partmentalized than would be expected by chance. As long
tionships between species richness and connectance and those that
as habitat divisions are subtle, the evidence for compartments
have manipulated richness experimentally. Again, turning to the
aggregate, whole community level, evidence is largely consistent
is typically poor, and there are even greater difficulties in
in supporting the prediction that increased richness increases
demonstrating compartments (or the lack of them) within
stability (decreases variability). We stress, though, the importance
habitats. There is, though, a clear consensus from theoretical
of the nature, not just the richness, of a community in these regards,
studies that communities will have increased stability if they are
returning to the importance of keystone species.
compartmentalized.
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