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Transcript
FORUM
FORUM
FORUM
FORUM is intended for new ideas or new ways of interpreting existing information. It
provides a chance for suggesting hypotheses and for challenging current thinking on
ecological issues. A lighter prose, designed to attract readers, will be permitted. Formal
research reports, albeit short, will not be accepted, and all contributions should be concise
with a relatively short list of references. A summary is not required.
Functional redundancy in ecology and conser7ation
Jordan S. Rosenfeld, Fisheries Research Section, Pro7ince of British Columbia, 2204 Main Mall, Uni7. of British
Columbia, Vancou7er, BC, Canada V6T 1Z4 ( [email protected]).
Multiple studies have shown that biodiversity loss can impair
ecosystem processes, providing a sound basis for the general
application of a precautionary approach to managing biodiversity. However, mechanistic details of species loss effects and the
generality of impacts across ecosystem types are poorly understood. The functional niche is a useful conceptual tool for
understanding redundancy, where the functional niche is defined
as the area occupied by a species in an n-dimensional functional
space. Experiments to assess redundancy based on a single
functional attribute are biased towards finding redundancy, because species are more likely to have non-overlapping functional
niches in a multi-dimensional functional space. The effect of
species loss in any particular ecosystem will depend on i) the
range of function and diversity of species within a functional
group, ii) the relative partitioning of variance in functional space
between and within functional groups, and iii) the potential for
functional compensation (degree of functional niche overlap) of
the species within a functional group. Future research on functional impairment with species loss should focus on identifying
which species, functional groups, and ecosystems are most vulnerable to functional impairment from species loss, so that these
can be prioritized for management activities directed at maintaining ecosystem function. This will require a better understanding of how the organization of diversity into discrete functional
groups differs between different communities and ecosystems.
The accelerating loss of biodiversity has become a
primary concern of society and ecologists. The negative
impacts of species loss are based on both the intrinsic
value of individual taxa, and the potential effects of
biodiversity loss on ecosystem function, where function
is defined in terms of energy transformation and matter
cycling (Lawton 1994, Ghilarov 2000). The intrinsic
worth of species, while a critical (and arguably
paramount) rationale for protecting biodiversity, is a
matter of opinion that is largely value-based and not a
scientific issue. In contrast, the impact of species loss on
ecosystem function is clearly a scientific issue that lends
itself to hypothesis testing and experimentation. Consequently, the effects of species loss on ecosystem function has been an area of active research (Tilman et al.
1996, 1997a, b, Naeem and Li 1997, Hector et al. 1999).
156
The concept of functional redundancy is at the core
of theory relating changes in ecosystem function to
species loss. Functional redundancy is based on the
observation that some species perform similar roles in
communities and ecosystems, and may therefore be
substitutable with little impact on ecosystem processes
(Lawton and Brown 1993). Although functional redundancy is a relatively recent construct in ecology, it’s
roots extend back to the concept of ecological guilds
(Root 1967), whereby species are grouped together
based on similarities in what they do within
communities.
In terms of practical conservation issues, the concept
of functional redundancy is a double-edged sword. It is
an important tool for justifying and prioritizing species
protection, since functional differentiation argues for
the preservation of individual species (Walker 1995)
and biodiversity in general (Lawton 1994) to maintain
ecosystem processes. However, at its heart is the assumption that some species perform similar roles in
ecosystems, and redundant species can therefore be lost
with minimal impact on ecosystem processes. While the
logic underlying this assumption is somewhat flawed
because even similar species will always differ (by definition) to some unknown degree along some functional
axes, it remains reasonable to expect that some species
are more similar than others in terms of what they do
in communities and ecosystems. It is also worth noting
that this interpretation of redundant species as ‘‘expendable’’ was not part of the original construct of
ecological redundancy (Walker 1992), where redundant
species were considered necessary to ensure ecosystem
resilience to perturbation (Walker 1995).
The objective of this note is to consider the relationship of functional redundancy to other concepts in
ecology, to introduce the concept of the functional
niche as a heuristic tool for understanding functional
redundancy, and to review problems and limitations in
OIKOS 98:1 (2002)
both the evaluation of functional redundancy and the
search for generalities in effects of species loss on
ecosystem function.
Functionalism in ecology
The concept of functional redundancy – the degree to
which organisms have evolved to do similar things – is
closely related to several fundamental issues in ecology
and evolution: organization of species into ecological
guilds and trophic levels, the Huchinsonian (or ecological) niche, competition, and limiting similarity.
Ecologists have long recognized that taxa can be
organized into relatively discrete groupings based on
similarities in what they do. Trophic levels, guilds of
stream fishes (Winemiller and Pianka 1990), and functional feeding groups of aquatic invertebrates (Cummins 1973) are all based on commonality of function
within identified groups. The usefulness of these classifications depends largely on the variation in function
within each group relative to the variation between
groups (similarity within groups vs dispersion across
functional space; see Fig. 1). Several authors have
questioned the utility of discrete functional classifications that oversimplify complex interactions (e.g. Polis
and Strong 1996), and it is clear that ecosystems differ
in the degree to which species are organized into discrete groups (Hairston and Hairston 1997). In terms of
understanding functional redundancy, ecologists need
to understand when such classifications are appropriate, why communities and ecosystems differ in the
degree to which taxa are organized into discrete functional groups, and how this affects the functional impacts of species loss.
Ecologists have also recognized that similarity between species will affect the strength of interspecific
competition, and a large body of theory was developed
to assess the level of similarity that permits species to
co-exist (Abrams 1983). Limiting similarity is based on
the assumption that competition is most intense when
organisms occupy the same spatial and temporal habitats and use the same resources. Hutchinson (1957)
Fig. 1. Hypothetical distribution of stream invertebrate functional groups (grazers , predators , and detritivores ) in
a three-dimensional functional space, for well-differentiated
functional groups (A) and for functional groups that are less
discrete (B).
OIKOS 98:1 (2002)
proposed the niche as a conceptual tool for quantifying
the similarity between species, with the habitat space
occupied by an organism defined by an n-dimensional
hypervolume where different axes are environmental
factors such as temperature or resources. The Hutchinsonian niche separates species based primarily on the
habitats and resources they use and their environmental
tolerances. It is a useful construct for understanding
how species overlap in space and compete for similar
resources, but it is less useful for understanding the
impact that species have on ecological processes. Functional effects of a species – the influence of a taxon on
particular rates and processes – are output variables or
consequences of organism traits and resource use. Consequently, the functional effects of a species on ecological processes are only indirectly represented by the
Hutchinsonian niche. Below I explore the concept of
the functional niche as a tool for understanding and
quantifying functional redundancy in organisms.
The functional niche
A functional niche can be defined that is analogous to
the Hutchinsonian niche, except that the axes represent
functional attributes or process rates (e.g. oxygen generation, predation rate, etc.; Fig. 1) rather than the
environmental or resource axes defining the ecological
niche. The functional niche therefore represents an
n-dimensional hypervolume in functional space, where
axes are functions or processes (e.g. oxygen generation,
decomposition rate, etc.) associated with different functional attributes. Thus the Hutchinsonian niche defines
where and under what circumstances a species will
exist, while the functional niche defines the ecological
effect that a species will have in any given habitat. Just
as the Hutchinsonian niche represents a useful heuristic
tool for understanding and modeling the consequences
of species similarity for competitive interactions, the
functional niche may serve as a useful conceptual
framework for understanding functional redundancy.
Axes used to define the Hutchinsonian niche are key
resource or environmental factors that influence the
survival, growth, and reproduction of a species. Their
selection is usually based on empirical observation or
experiments. Selection of axes for defining the functional niche is more subjective, and is based on identification of key functions or processes that are thought to
be important for ecosystem functioning (Walker 1992,
1995). This approach should be viewed as flexible
rather than arbitrary, since it permits both an exhaustive n-dimensional definition of the functional niche of
an organism, or a simplified one that reflects the often
utilitarian objective of assessing ecosystem function. A
flexible application of the functional niche concept permits a focus on processes that are identified as impor157
tant either as diagnostics or because they directly influence critical processes of value to society or ecosystems,
but it also requires that researchers explicitly state the
functions (i.e. axes) being studied.
The functional niche as applied to individuals expresses the effects of a species in functional space on a
per capita or per biomass basis (e.g. oxygen generation
per individual, or per g). While per capita functional
effects are useful for assessing functional equivalency of
individuals from different species or for identifying
potential keystones (species with unusually high per
capita effects; Power et al. 1996), the functional impact
of a species in a community or ecosystem will be a
function of both per capita effects and abundance
(dominance). The aggregate functional effects of a species within a trophic level or community will be the per
capita rate multiplied by organism abundance. It is
important to distinguish between functional equivalency in terms of per capita impacts, and redundancy in
population-level functional effects, because taxa that
are apparently functionally equivalent at the individual
level on selected functions may differ in their equilibrium population sizes, and therefore in aggregate
functional effects within a community or ecosystem.
Thus the functional niche of an organism can be
defined in terms of three types of factors: i) ecological
processes, such as per capita (or biomass) oxygen generation, decomposition rate, predation rate, etc., which
will be related to intrinsic morphological and physiological attributes of an organism, ii) demographic attributes of a species (e.g. population r and K), and iii)
en6ironmental factors such as temperature that will influence where an organism can perform its function.
Species that are functionally equivalent on a per capita
basis may differ in demographic attributes, so that they
may not be able to compensate for one another at the
population level, as previously discussed. However,
even when species can compensate functionally at the
population level, this does not ensure functional redundancy in all circumstances, i.e. apparently redundant
species may have different environmental optima, so
that their functional niches do not overlap when environmental axes are included (Fig. 2). Replacement of
functionally equivalent species along environmental
gradients (Frost et al. 1995) represents functional complementarity rather than functional redundancy. To be
truly functionally redundant, taxa must overlap in both
their population-level functional effects and environmental tolerances, which can be adopted as an effective
criteria for assessing functional redundancy.
Although defining a functional niche in terms of
processes, demographic attributes, and environmental
tolerances may seem needlessly complex, identifying the
relative contribution of these three variables provides a
basis for understanding how species are likely to be
functionally differentiated or redundant. It is also
worth noting that the definition of functional redun158
Fig. 2. Hypothetical detritivore species that are apparently
redundant become well-differentiated in functional space when
additional demographic or environmental axes are included.
dancy above differs somewhat from that of Walker
(1992, 1995), who considered species in a functional
group to be redundant even if they were differentiated
in their environmental tolerances. However, Walker
(1995) makes is clear that his usage of redundant is not
equivalent to ‘‘dispensable’’, which has nevertheless become the more common interpretation (Lawton and
Brown 1993).
Evaluation of functional redundancy
Having established that species loss has the potential to
impact ecosystem function (Schläpfer et al. 1999,
Mooney et al. 1995a), future research on functional
impacts of species loss needs to focus on both the
generality of effects and their mechanistic basis. The
functional niche may serve as a useful conceptual tool
for understanding how differences in the structural
organization and diversity of ecosystems (e.g. grasslands, woodlands, lakes, streams, deserts, etc.;
Schläpfer and Schmid 1999, Mooney et al. 1995b, 1996)
influences the effects of species loss. In particular, the
width and overlap of individual niches in functional
space (corresponding to generalist and specialist species; Fig. 3) will influence the effects of species loss in
different ecosystems, since the ability of a species to
expand beyond it’s realized niche (or equivalently, the
presence of competition between two species) is one
measure of the potential for functional compensation
(Lawton and Brown 1993). The degree to which particular communities or ecosystem types are likely to have
functionally redundant (or differentiated) species will
depend not only on total species richness, but also on
the abundance of generalist or specialist species within
each functional group, and the degree of saturation of
functional space (Fig. 4); however, it is presently unOIKOS 98:1 (2002)
Fig. 3. Implied functional redundancy of temporal specialist
species with narrow niches (Sps. 2 –4) relative to a generalist
detritivore with a broad temporal niche (Sp. 1). Species three
and four are temporally redundant with species one while
species two is not.
clear whether these properties differ systematically between ecosystems, communities, trophic levels, or functional groups.
The width and overlap of entire functional groups
(Fig. 1) may also differ systematically between ecosystems as a consequence of differences in energy flow and
adaptive constraints. For example, the dispersion in
functional space of primary producers in forests may be
very broad (herbs to understory shrubs to canopy
dominants), whereas in lakes it may be very narrow (i.e.
phytoplankton). These differences in the breadth of
functional groups are implicated in the greater frequency of trophic cascades in aquatic systems (Power
1992, Strong 1992). There may also be strong interactions between diversity within functional groups, the
breadth of function within a functional group, and the
functional effects of species loss. For example, one
simple prediction would be that the expected variance
(e.g. predictability) in ecosystem function following species loss should be much greater for functional groups
that are broad rather than narrow, particularly in low
diversity systems (Fig. 5A and B), assuming no compensation by remaining species. Alternatively, if the
Fig. 5. Hypothesized change in variance of detrital processing
rate with increasing species diversity for random assemblages
of detritivores for narrow (A) and broad (B) detritivore functional groups (corresponding to Fig. 1A and B, respectively,
assuming no functional compensation for species loss). If
remaining species can fully compensate for species loss in low
diversity assemblages, then total population size within a
functional group should have lower variance in narrow (C)
rather than broad (D) functional groups.
remaining species can numerically compensate (sensu
Ruesink and Srivastava 2001) to maintain function in
low-diversity assemblages, then the expected variance in
total population size within a functional group (all
species combined) should be much larger for broadly
dispersed functional groups (Fig. 5C and D).
This discussion highlights the need to consider the
functional traits of individual species within the broader
context of their functional assemblage. Researchers
have generally used two approaches for evaluating
functional redundancy. The first is to define the effects
of individual taxa in functional space using measured
Fig. 4. Three contrasting
scenarios for species overlap in
functional space for
hypothetical detritivorous
(shredding) aquatic
invertebrates. Species in a
functional group may have
narrow niches with no overlap
(A), implying no functional
redundancy and a large
proportion of vacant
functional space. Species may
have broad functional niches
with no overlap (functional
complementarity; B), again
implying little functional
redundancy, but with minimal
vacant functional space. Or
species may broadly overlap in
their functional niches (C),
implying a substantial potential
for functional redundancy.
OIKOS 98:1 (2002)
159
functional traits as described above (Jonsson and
Malmqvist 2000). However, absolute differences between species are not very informative without the
context of the assemblage they are part of. For instance, the functional significance of loosing a species
will be much greater if a functional group has 2 vs 20
species, and if the range of function within the group is
large. It is also difficult to predict the emergent properties of assemblages based on the traits of individual
taxa, because of the multiplicity of complex interactions
between species that are difficult to predict (e.g. facilitation or overyielding). For these reasons, researchers
often evaluate the effects of biodiversity loss by comparing the function of entire assemblages that differ in
species diversity (Tilman et al. 1996, 1997a), rather than
by comparing functional attributes of individual taxa.
However, understanding the functional attributes of
individual species is a necessary first step towards mechanistically linking the properties of species to the properties of ecosystems.
Regardless of the approach favoured to assess functional redundancy, there are serious limitations to the
inferences that can be drawn from biodiversity loss
experiments. These are considered in the section below.
Limitations to the assessment of functional
redundancy
Because there is a need to apply the results of biodiversity gradient experiments to inform policy and management decisions, their limitations must be carefully
considered. In particular, several implicit assumptions
tend to make the experiments systematically biased
towards falsely concluding that functional redundancy
exists.
First, the detection of functional redundancy depends
in part on the metrics chosen to represent ecosystem
function. Primary production is usually the measure of
ecosystem function in diversity experiments with artificial plant assemblages. While primary production is a
legitimate measure of ecosystem function, it is only one
of many functional attributes of an ecosystem. Sec-
ondary production of herbivores, for instance, is another important measure of ecosystem function. Plant
assemblages that differ in the proportion of edible and
inedible plants will support different productivities of
herbivores. However, they may have similar levels of
primary production, leading to the erroneous conclusion of functional redundancy when primary production is used as the sole metric of ecosystem function
(Rosenfeld 2002). In general, experiments are more
likely to conclude that species are functionally redundant as the number of different measures of ecosystem
function (e.g. primary production, secondary production, resistance to disturbance, etc.) decreases. Since
most biodiversity loss experiments only consider one
measure of ecosystem function, they tend to be biased
towards demonstrating functional redundancy.
Second, indices of ecosystem function are aggregate
measures of processes at the ecosystem scale (by definition). This reflects an interest in the effects of biodiversity loss on ecosystem services that are provided at a
large spatial scale (Costanza et al. 1997). However, loss
of biodiversity will also affect processes at subsidiary
scales (Table 1). Loss of single species will have functional impacts that can be measured in terms of
changes in energy flow within communities; changes in
ecological processes can also be measured at the guild,
functional group, trophic, and finally ecosystem levels.
Functional impairment at all of these scales has the
potential for significant impacts on humans and biota,
and the absence of functional change at the ecosystem
scale may mask changes in function at subsidiary scales
(Frost et al. 1995) that are of significant consequence.
For instance, overfishing of desirable predatory species
in marine food chains may result in species substitution
with little change in total fish biomass (Fogarty and
Murawski 1998). However, these changes in species
composition may result in significant alterations in
energy flow within the ecosystem, as well as changes in
services provided to humans (e.g. viability of the fishing
industry). Focusing on ecological function at the
ecosystem scale indirectly discounts the potential for
significant functional impairment at smaller scales that
may not result in ecosystem-level impacts.
Table 1. Hierarchy of species loss and functional effects within ecosystems. All effects may occur at spatial scales ranging from
local ecosystems (e.g. loss of a population from a single lake) to regional or global effects (e.g. global extinction) with
corresponding functional impacts over increasingly large areas.
Level of biodiversity
loss
Functional effect within an ecosystem
Human value affected
Single non-keystone
species
Multiple non-keystone
species
Dominant species
Weak direct/indirect effects on other species
Intrinsic value of individual species
Change in community structure
Potential loss of health and economic
opportunities (e.g. pharmaceuticals)
Change in availability of commercially
important species
Provision of ecosystem services
(e.g. nutrient cycling, primary production, etc.)
Keystone species or
functional group
160
Large change in community and food-web
structure
Large change in community structure and
functions at the ecosystem scale
OIKOS 98:1 (2002)
Third, biodiversity gradient experiments use random
species assemblages, which is equivalent to assuming
that species extinction is a random process (Huston et
al. 2000). This is likely a poor analogue for natural
systems, where human activities selectively impact particular species, functional groups, and trophic levels.
We need to better understand how non-random patterns of species extinctions may alter predictions of
functional impairment. Selective loss of particular species (e.g. top predators; Pauly et al. 1998) may well
cause greater functional change than expected from the
random pattern of extinction implicit in biodiversity
gradient experiments.
Fourth, biodiversity experiments are usually performed over short time and space scales where the
environment is relatively invariant (Wellnitz and Poff
2001). Species that are apparently functionally redundant over small scales may be functionally differentiated when the environment changes over larger space
and time scales. A good example is the changing functional roles of species over long time scales as biological
communities change with the widespread invasion of
exotics. This is illustrated by the herbivorous aquatic
weevil Euhrychiopsis lecontei (Dietz), which switched
from being a minor grazer of native aquatic plants in
eastern North America to a keystone herbivore controlling populations of the exotic Eurasian watermilfoil
(Myriophyllum spicatum L.), over 30 years after its
introduction (Creed 2000). Given the widespread certainty of future exotic invasions, the functional roles of
many species will likely change in unpredictable ways.
Similarly, rare and apparently redundant species of
zooplankton may become functionally significant when
environmental conditions change (Finlay et al. 1997), as
observed following lake acidification (Frost et al. 1995).
Again, this argues strongly for a general precautionary
approach to conserving biodiversity.
Finally, it is necessary to put the impact of species
loss on ecosystem function in the correct context. While
changes in biodiversity may affect ecosystem function,
it is clear that direct conversion of ecosystems will have
more far-reaching and severe effects on global ecosystem function (Lawton and Brown 1993, Tilman et al.
2001) than will species loss. For example, conversion of
tropical or temperate forest to rangeland or conversion
of rivers to reservoirs will alter function far more than
loss of diversity within a forest or stream ecosystem.
Conclusions
Given the rapid rate at which humans are altering
communities, a predictive understanding of how species
loss affects ecosystem function seems imperative. However, the factors identified above cause manipulative
experiments to underestimate the true functional conseOIKOS 98:1 (2002)
quences of species loss. Until functional redundancy
experiments specifically address these shortcomings,
they should be viewed as simplistic and interpreted with
caution.
This conclusion may appear biased and driven by a
conservation ideology that is not open to objective
falsification of hypotheses (i.e. that species are functionally redundant). However, few experiments to date have
adequately tested for functional redundancy over the
broad suite of functional traits and environmental conditions necessary to convincingly demonstrate it. While
there is strong evidence for functional complementarity
(e.g. compensation by functionally equivalent species
along environmental gradients; Frost et al. 1995), there
is poor evidence for true functional redundancy. Even
once functional redundancy has been convincingly
demonstrated for selected species, it is not feasible to
assess the degree of functional redundancy for all species in all environments and communities. Inability to
convincingly predict functional redundancy is further
compounded by unpredictable changes in the potential
functional roles of species following environmental
change, such as the widespread invasion of exotics in
natural communities (Creed 2000).
All of these factors argue strongly for the precautionary approach as an overarching strategy for managing
biodiversity. If one accepts a precautionary approach as
the fundamental principle for managing species loss,
then why bother studying the mechanisms and processes underlying functional redundancy? While a
broad precautionary approach should serve as the
foundation for species management, the reality is that
development and other human impacts will continue,
and some understanding of the functional relationships
between species will help prioritize conservation decisions and provide a basis for anticipating the impact of
different management scenarios on ecosystem function
(Walker 1995).
Acknowledgements – I would like to thank Diane Srivastava
for insightful comments on an earlier draft of this essay.
References
Abrams, P. 1983. The theory of limiting similarity. – Ann.
Rev. Ecol. Syst. 14: 359 – 376.
Costanza, R., d’Arge, R., de Groot, R. et al. 1997. The value
of the world’s ecosystem services and natural capital. –
Nature 387: 253 – 260.
Creed, R. P. 2000. Is there a new keystone species in North
American lakes and rivers? – Oikos 91: 405 – 408.
Cummins, K. W. 1973. Trophic relations of aquatic insects. –
Ann. Rev. Ent. 18: 183 – 206.
Finlay, B. J., Maberly, S. C. and Cooper, J. I. 1997. Microbial
diversity and ecosystem function. – Oikos 80: 209 – 213.
Fogarty, M. J. and Murawski, S. A. 1998. Large-scale disturbance and the structure of marine systems: fishery impacts
on Georges Bank. – Ecol. Appl. 8: S6 – S22.
Frost, T. M., Carpenter, S. R., Ives, A. R. and Kratz, T. K.
1995. Species compensation and complementarity in
161
ecosystem function. – In: Jones, C. G. and Lawton, J. H.
(eds), Linking species and ecosystems. Chapman and Hall,
pp. 224– 239.
Ghilarov, A. M. 2000. Ecosystem functioning and the intrinsic
value of biodiversity. – Oikos 90: 408 –412.
Hairston, N. G. J. and Hairston, N. G. S. 1997. Does food
web complexity eliminate trophic-level dynamics? – Am.
Nat. 149: 1001 –1007.
Hector, A., Schmid, B., Beierkuhnlein, C. et al. 1999. Plant
diversity and productivity experiments in European grasslands. – Science 286: 1123 –1127.
Huston, M. A., Aarssen, L. W., Austin, M. P. et al. 2000. No
consistent effect of plant diversity on productivity. – Science 289: 1255a.
Hutchinson, G. E. 1957. Concluding remarks. – Cold Spring
Harbour symposium on quantitative biology 22: 415 – 427.
Jonsson, M. and Malmqvist, B. 2000. Ecosystem process rate
increases with animal species richness: evidence from leafeating, aquatic insects. – Oikos 89: 519 –523.
Lawton, J. H. 1994. What do species do in ecosystems? –
Oikos 71: 367 –374.
Lawton, J. H. and Brown, V. K. 1993. Redundancy in ecosystems. – In: Schulze, E.-D. and Mooney, H. A. (eds),
Biodiversity and ecosystem function. Springer, pp. 255 –
270.
Mooney, H. A., Lubchenko, J., Dirzo, R. and Sala, O. E.
1995a. Biodiversity and ecosystem functioning: basic principles. – In: Heywood, V. H. and Gardner, K. (eds),
Global biodiversity assessment. Cambridge Univ. Press,
pp. 275– 326.
Mooney, H. A., Lubchenko, J., Dirzo, R. and Sala, O. E.
1995b. Biodiversity and ecosystem functioning: ecosystem
analyses. – In: Heywood, V. H. and Gardner, K. (eds),
Global biodiversity assessment. Cambridge Univ. Press,
pp. 327– 452.
Mooney, H. A., Cushman, J. H., Medina, E. et al. 1996. What
we have learned about the ecosystem functioning of biodiversity. – In: Mooney, H. A., Cushman, J. H., Medina, E.
et al. (eds), Functional roles of biodiversity: a global
perspective. John Wiley and Sons Ltd., pp. 475 – 484.
Naeem, S. and Li, S. 1997. Biodiversity enhances ecosystem
reliability. – Nature 390: 507 –508.
Pauly, D., Christensen, V., Dalsgaard, J. et al. 1998. Fishing
down marine food webs. – Science 279: 860 –863.
162
Polis, G. A. and Strong, D. R. 1996. Food web complexity
and community dynamics. – Am. Nat. 147: 813 – 846.
Power, M. E. 1992. Top-down and bottom-up forces in food
webs: do plants have primacy? – Ecology 73: 733 – 746.
Power, M. E., Tilman, D., Estes, J. A. et al. 1996. Challenges
in the quest for keystones. – Bioscience 46: 609 – 620.
Root, R. 1967. The niche exploitation pattern of the blue-gray
gnatcatcher. – Ecol. Monogr. 37: 317 – 350.
Rosenfeld, J. S. 2002. Logical fallacies in the assessment of
functional redundancy. – Conserv. Biol. 16: 000 – 000.
Ruesink, J. L. and Srivastava, D. S. 2001. Numerical and per
capita responses to species loss: mechanisms maintaining
ecosystem function in a community of stream insect detritivores. – Oikos 93: 221 – 234.
Schläpfer, F. and Schmid, B. 1999. Ecosystem effects of biodiversity: a classification of hypotheses and exploration of
empirical results. – Ecol. Appl. 9: 893 – 912.
Schläpfer, F., Schmid, B. and Seidl, I. 1999. Expert estimates
about effects of biodiversity on ecosystem processes and
services. – Oikos 84: 346 – 352.
Strong, D. R. 1992. Are trophic cascades all wet? Differentiation and donor-control in speciose ecosystems. – Ecology
73: 747 – 754.
Tilman, D., Wedin, D. and Knops, J. 1996. Productivity and
sustainability influenced by biodiversity in grassland
ecosystems. – Nature 379: 718 – 720.
Tilman, D., Knops, J. and Wedin, D. 1997a. The influence of
functional diversity and composition on ecosystem processes. – Science 277: 1300 – 1302.
Tilman, D., Lehman, C. L. and Thomson, K. T. 1997b. Plant
diversity and ecosystem productivity: Theoretical considerations. – Proc. Natl. Acad. Sci. USA 94: 1857 – 1861.
Tilman, D., Fargione, J., Wolff, B. et al. 2001. Forecasting
agriculturally driven global environmental changes. – Science 292: 281 – 284.
Walker, B. H. 1992. Biodiversity and ecological redundancy. –
Conserv. Biol. 6: 18 – 23.
Walker, B. 1995. Conserving biological diversity through
ecosystem resilience. – Conserv. Biol. 9: 747 – 752.
Wellnitz, T. and Poff, N. L. 2001. Functional redundancy in
heterogenous environments: implications for conservation.
– Ecol. Lett. 4: 177 – 179.
Winemiller, K. O. and Pianka, E. R. 1990. Organization in
natural assemblages of desert lizards and tropical fishes. –
Ecol. Monogr. 60: 27 – 55.
OIKOS 98:1 (2002)