

PAGE PROOF: 2ND PASS
Competition 203
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Limestone |
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Transect A |
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Transect C |
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Middle Protea |
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East Protea |
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West Protea |
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Leucadendron meridianum |
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Leucadendron coniferum |
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C |
Protea susannae |
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Protea compacta |
Ericoid shrubs |
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Restioid shrubs |
Planted seedlings |
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c m c |
(experimental) |
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Figure 10.17
Diagram of two transects, A and C, in the fynbos of southern Africa, showing the locations of the three experimental study sites along each transect. Dominant species and plants of some other growth forms are also shown. (After Richards et al. 1997.)
limestone bedstraw grew normally, as expected. Heath bedstraw survived, but grew slowly and had yellowish leaves, indicating nutrient deficiency. When grown alone in sandy soil, heath bedstraw grew vigorously, while limestone bedstraw survived, but grew poorly. When the two species were grown together in calcareous soil, limestone bedstraw overtopped heath bedstraw and eliminated it from the mixture. In sandy soil, heath bedstraw became dominant, but did not completely eliminate limestone bedstraw during the course of the experiment. Tansley concluded that while each species appeared to be adapted to the soil in which it lived in nature, competition also played an important role in determining the restriction of the two species to different soil types.
A recent study in a different system found quite different results. M. B. Richards and his colleagues at the university of Cape Town in South Africa (Richards et al. 1997) examined the relative importance of competition and adaptation to soil type among six shrubs belonging to the Proteaceae. These species grow in the fynbos of southern Africa, one of the most species-rich places on Earth for plants (see Box 20A). The fynbos is dominated by an astonishing diversity of shrubs as well as other growth forms. The environment is characterized by nutrient-poor soils, summer drought, and rolling, dissected terrain. Large numbers of apparently ecologically similar species coexist in the fynbos, and there is great species variation
among communities. What determines the typically sharp discontinuities among communities dominated by different species, and what is the role of competition in determining these boundaries?
Richards and his colleagues chose three transects, each of which crossed a sharp community boundary with a transition from one distinct soil type to another. Each of the transects contained a different species pair in which one dominant species replaced the other (Figure 10.17). In a three-year experiment to compare the influences of soil type and interspecific competition, seeds of both species were planted in monoculture and in mixture at three sites along each transect. Interspecific competition consistently decreased growth, but the magnitude of its effect was small compared with that of soil type. Adaptation to soil conditions strongly affected both seedling growth and survival at two of the three sites (Figures 10.18 and 10.19) and the researchers suggest that soil type, not competition, may be the critical factor determining species distribution.
Competitive interactions may change over time, and the ultimate outcome of competition may be different than initial observations suggest. Lythrum salicaria (purple loosestrife, Lythraceae) is an invasive species in North America that appears to be displacing native wetland species (see Chapter 11 and Figure 14.3). Some ecologists have argued, however, that evidence that Lythrum is actually displacing native species is weak. Mal and col-

204 Chapter 10 |
PAGE PROOF: 2ND PASS |
(A) |
Transect A |
L. meridianum
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80 |
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(%) |
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Survival |
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20 |
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L. meridianum |
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L. coniferum
L. coniferum
Limestone |
Deep Sand West Plain |
Limestone Deep Sand West Plain |
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(B) |
Transect C |
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100 |
P. susannae |
P. compacta |
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(%) |
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Survival |
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P. susannae |
P. compacta |
wt) |
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dry |
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Biomass |
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West Protea Middle East Protea West Protea Middle East Protea
Sites
Figure 10.18
Mean survival (%) and biomass (g dry weight,
± 1 standard error; error bars omitted where too small to be visible) after three years of experimental seedlings of (A) Leucadendron meridianum (Proteaceae) and L. coniferum at transect A and (B) Protea susannae (Proteaceae) and P. compacta at transect C when grown at sites within their natural distribution (green bars) or outside of it (gray bars). In transect A, survival and biomass were both far greater within the natural distributions of both species than outside them. In transect C, survival and biomass were lowest outside the natural distributions of both species for most sites. (After Richards et al. 1997.)
leagues (Mal et al. 1997) carried out a four-year field competition experiment between Lythrum and Typha angustifolia (cattail, Typhaceae), a dominant native wetland species. Typha was initially competitively superior, but in the second and third years of the experiment, the species were relatively evenly matched. By the fourth year of the study, Lythrum, the invader, became competitively dom-
inant, displacing Typha. The researchers attribute this result to differences in life history strategy between the two species. Typha has large rhizomes with substantial stored resources, which might give it an initial competitive advantage, but the high costs of producing new ramets and the strong suppressive effects of Lythrum led to the eventual competitive replacement of Typha.

PAGE PROOF: 2ND PASS
Competition 205
(A) |
Limestone site |
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Within natural distribution |
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100 |
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(%) |
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60 |
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Survival |
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Low |
Med |
High |
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Limestone site |
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Within natural distribution |
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wt) |
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(g dry |
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Low |
Med |
High |
Deep Sand site West Plain site
Outside of natural distribution
Low |
Med |
High |
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Density |
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Interspecific competition
Intraspecific competition
Low |
Med |
High |
Deep Sand site West Plain site
Outside of natural distribution
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Density
Figure 10.19
(A) Mean survival (%) and (B) biomass (g dry weight, ± 1 standard error) after 3 years for experimental seedlings of L. meridianum planted at three densities, in monoculture and in mixture, at three sites along transect A. Competition did not appear to have much effect on biomass or survival, or may have had inconsistent effects that were far smaller than the effects of being within or outside the natural distribution. L. meridianum did not decrease in survival at increased densities, and decreased in biomass at increased densities only at the Limestone site. Performance in mixture (green bars) was generally better than performance in monoculture (gray bars). Patterns were similar for other species and transects. (After Richards et al. 1997.)
Competition along Environmental Gradients
One of the most critical and contentious issues concerning the importance of competition in plant communities is whether there are particular kinds of habitats in which competition is predictably strong, determining community composition, or predictably weak and unimportant. Ecologists agree that competition is intense in productive, nutrient-rich habitats, at least when disturbance and herbivory are low. In these environments, plants are able to develop large canopies quickly, and competition is thought to be primarily for light. The relative intensity and importance of competition in productive and unproductive habitats, however, remain matters of debate.
Conceptual Models of Competition in Habitats with Differing Productivities
Grime (1977, 1979) proposed that competition is unimportant in unproductive environments, and that success in these environments is dependent largely on ability to tolerate abiotic stress (low nutrients, drought, or cold, for example), rather than on competitive ability. He further argued that in environments where disturbance frequently reduces plant mass, competitive exclusion should be prevented. The dominant plants in such environments should not be competitively superior, but rather should possess traits that allow them to withstand disturbance or recolonize rapidly following disturbance.
Most subsequent discussion has focused on unproductive environments. Newman (1973) disagreed with Grime’s characterization, arguing that competition is important in low-resource as well as high-resource environments, but that the resources for which plants compete differ—light in productive environments, nutrients and water in unproductive environments. Later work by Tilman (1987) reinforced and developed Newman’s ideas. Tilman argued that competition in low-productiv- ity environments would be for belowground resources (primarily nitrogen), whereas competition in high-pro- ductivity environments would be primarily for aboveground resources (light). Aerts (1999) reiterated Grime’s argument in part, maintaining that selection in nutrientpoor habitats would favor traits that reduce nutrient losses rather than those that enhance the ability to compete for nutrients, resulting in slow growth rates.

206 Chapter 10 |
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PAGE PROOF: 2ND PASS |
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Keddy (1990) adapted to plant community organi- |
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is freely available for short periods of time, but there are |
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zation the “centrifugal theory of community organiza- |
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long interpulse intervals in which water is partly or com- |
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tion” that Rosenzweig and Abramsky (1986) had pro- |
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pletely unavailable. They hypothesized that growth and |
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posed for desert rodent communities. The centrifugal |
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competition should be limited to the periods of high |
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model proposes that there is a core habitat type preferred |
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water availability (the pulses) in arid environments. |
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by all species in a region, presumably with ideal grow- |
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Growth and competition in low-nutrient soils, in con- |
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ing conditions. Other habitat types, called peripheral |
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trast, should not be limited to pulses of short duration. |
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habitats, are defined by particular negative conditions |
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Experimental Evidence |
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(stresses or disturbance) to which only some of the |
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species are adapted (Figure 10.20). Interspecific compe- |
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The evidence for and against variation in the intensity |
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tition is most intense, Keddy suggests, in core habitat, |
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of competition along productivity gradients remains |
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and is more relaxed in the peripheral habitats because |
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confused and ambiguous. Wilson and Keddy (1986) |
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fewer species are adapted to the particular conditions in |
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compared the competitive abilities of six species that are |
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each of them. Thus the peripheral habitats serve as |
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dominant at different points along a productivity gra- |
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refuges, preventing competitive exclusion. In wetlands |
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dient on the shore of Axe Lake, Ontario. The gradient |
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in Ontario, Canada, for example, all species prefer sites |
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ranged from wave-disturbed, nutrient-poor beaches |
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with high fertility and low disturbance rates (core habi- |
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with low standing biomass to sheltered, nutrient-rich |
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tat), while the peripheral habitats are defined by infer- |
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sites with dense vegetation. Plants were grown in com- |
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tile soils and disturbances such as ice scouring. The core |
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petition in plastic beakers at a protected site in the field, |
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habitat is dominated by Typha latifolia, while different |
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using substrate from the favorable (sheltered, nutrient- |
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species dominate as one moves toward more extreme |
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rich) end of the gradient. The researchers found that |
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conditions in each peripheral habitat type. |
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competitive ability (measured as both competitive |
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One of the problems with trying to resolve the |
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response and competitive effect) was positively corre- |
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debate about the relative intensity and importance of |
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lated with mean position along the productivity gradi- |
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competition in productive and unproductive habitats |
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ent (Figure 10.21). They interpreted these results as evi- |
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is that environments can be unproductive for very dif- |
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dence that species with high competitive ability |
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ferent reasons. Many of the hypotheses about competi- |
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occupied nutrient-rich, undisturbed sites, while species |
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tion in unproductive environments implic- |
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itly focus on low nutrient levels. But low |
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productivity may also be due to cold tem- |
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peratures, short growing seasons, saline |
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river banks |
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soils, or toxic materials in the soil that inhib- |
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it growth, such as heavy metals. Inadequate |
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scoured |
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Drosera |
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water supply is one of the most important |
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factors limiting productivity globally. |
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Ice |
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banks |
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Plants are not only likely to have very |
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river |
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americanus |
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Rhynchospora |
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different adaptations to cold, heavy metals, |
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acutus |
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and drought than to low nutrients, but |
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ericanus |
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Clodium |
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species’ interactions under each of these con- |
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Sparganium |
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Carex |
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ditions are also likely also to be very differ- |
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ypha |
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ent. Goldberg and Novoplansky (1997) pre- |
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dicted that the effects of competition in |
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is pulsed: even in arid environments, water |
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Figure 10.20 |
organiza- |
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The centrifugal model of plant community |
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o |
tion, applied to the distributions of a number of wetland species in Ontario, Canada. Typha latifolia (cattail, Typaceae) occupies core habitat, while other species become more prominent as one moves toward more extreme conditions in more peripheral habitats. (After Keddy 1990.)
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lake |
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Cladium
Xyris
Drosera
Sabatia
Gravel lake shores
500
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0
g/m 2

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Sediment organic matter content (%)
Figure 10.21
Competitive abilities of six wetland plant species and the locations where they are naturally found along a gradient from exposed, nutrient-poor to sheltered, nutrient-rich shores, corresponding to a gradient in the percentage of organic matter contained in the sediment. (A) Competitive abilities expressed as target scores, defined as the mean relative growth (increase in dry mass) of the target species when grown in the presence of all neighbor species; this score is similar to competitive response. (B) Competitive ability expressed as neighbor scores, defined as the mean relative growth (increase in dry mass of all neighbor species in the presence of the target species; this score is similar to competitive effect. (After Wilson and Keddy 1986.)
with low competitive ability were displaced to disturbed sites with poor soils, where competitive exclusion was prevented by wave action and low soil nutrients.
Gurevitch (1986) carried out a field study of competition along an environmental gradient in southeastern Arizona. She hypothesized that Hesperostipa neomexicana, a C3 grass, was limited to arid ridgetops by competitively superior C4 grasses. This is precisely the opposite of what one would expect if physiology were determining species distributions, as C4 species should be better able to tolerate the unfavorably hot, dry conditions on the ridge crests. She removed neighbors from
Competition 207
around target Hesperostipa individuals at three sites along a gradient from a ridge crest to a moister lower slope. Competition affected growth of mature plants, flowering, seedling establishment, and survival.
When competitors were removed, growth and flowering for the mature Heterostipa plants were greatest on the lower slope, where its abundance was lowest. Competition had the smallest effect on estimated population growth rates on the ridge tops, where Heterostipa was most abundant, and increasingly greater effects downslope. The largest effects were at the lowest sites where Heterostipa was present (Figure 10.22). These results strongly suggested that competition was a major factor in determining the distribution of Hesperostipa along this gradient of productivity and environmental favorability.
Theodose and Bowman (1997) suggested the existence of the opposite pattern, in which competition prevented a species from a more productive area from growing in a resource-poor site. The perennial Deschampsia caespitosa (hair grass, Poaceae) is common in moist alpine meadows in the tundra of the Front Range of Colorado, but is rare in dry meadows. The dry meadows are dominated by a sedge, Kobresia myosuroides (Cyperaceae). The authors hypothesized that Deschampsia was prevented from growing in the dry environment by competition with Kobresia. An earlier study had demonstrated that Kobresia was kept out of the moist meadows by deep winter snow.
Theodose and Bowman transplanted individuals of each species, as well as two-species pairs of plants to a dry meadow, either clipping the existing vegetation (largely Kobresia) at ground level or leaving it intact. Deschampsia had a greater increase in survival in response to vegetation clipping than did Kobresia, and soil moisture was substantially depressed in plots with intact vegetation compared with those in which vegetation was clipped (Figure 10.23). The researchers concluded that interspecific competition with Kobresia excluded Deschampsia from the dry meadows by depressing soil moisture below the drought tolerance of Deschampsia. Kobresia, with greater tolerance of drought, was able to survive during periods of low moisture.
One problem with this conclusion, however, is that the mortality of Kobresia (28%) was actually higher than the mortality of Deschampsia (15%) in intact vegetation. Furthermore, most of the Deschampsia plants survived in the intact vegetation of the dry meadow. Therefore, it is difficult to argue convincingly that competitive exclusion was the result of high mortality in Deschampsia. The growth of Deschampsia in intact vegetation was also greater than the growth of Kobresia, and the growth of both species was about equally affected by vegetation clipping. Nothing is known about the effects of competition on reproduction or establishment for these species in these environments. So, although this study clearly

208 Chapter 10 |
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PAGE PROOF: 2ND PASS |
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Ridge crest |
Midslope |
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Wash |
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C4’s |
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% Cover |
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Figure 10.22
Results of a removal experiment at three topographic positions in a southeastern Arizona grassland (elevation 1400 m). The table at the top shows means for biomass and cover (N = 40; confidence limits available in Gurevitch 1986) at the three experimental sites (ridge crest, midslope, and lower slope) and at a lower topographic position below them (wash). The lower table gives experimental results for Control (neighbors not removed) and Removal (mature neighbors removed) treatments at the three experimental sites. Means for seedlings/m2 (in 1980 plus 1981), mature plant growth, and number of flowers produced by mature plants (N = 20) over the 20 months of the experiment are shown. Seedling survival was based on the total number of seedlings surviving, and population growth was estimated as described in the original paper. The graph at right shows soil water potential at the top (ridge crest) and bottom (wash) of the topographic gradient at the 15–20 cm depth (where the bulk of the roots were located) over a drying and rewetting cycle of 6 months in 1980. (After Gurevitch 1986.)
demonstrated intense and statistically significant effects of competition in this resource-poor habitat, more work needs to be done to conclusively demonstrate that competition leads to the exclusion of Deschampsia in the dry meadows.
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Evidence from Research Syntheses
While the results of individual studies are apparently contradictory, there have been several attempts to gain a better overview of competition along environmental gradients. In a cross-continental set of field experiments, the intensity of competition was compared for transplanted Poa pratensis (bluegrass, Poaceae) individuals at
Figure 10.23
Mortality of Deschampsia caespitosa (Poaceae) and Kobresia myosuroides (Cyperaceae) in a dry meadow when transplanted into intact vegetation (gray bars) and with neighbors clipped (green bars). Values are mean mortality (± 1 standard error) based on four plots, each of which had 10 experimental plants per species. (After Theodose and Bowman 1997.)
PAGE PROOF: 2ND PASS
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Biomass of neighboring plants (g/m2)
Competition 209
Figure 10.24
Results from a large set of field competition experiments in which perennial bluegrass (Poa pratensis) was planted in 44 plots across nine sites in locations across the world. Each point represents a plot; numbers indicate particular sites. At each site, competition was studied over a gradient of neighbor biomass, so there is more than one experimental outcome shown for each site. Competition was measured as (A) absolute competition intensity (ACI) and (B) relative competition intensity (RCI). (After Reader et al. 1994.)
12 locations in Europe, North America, and Australia (Reader et al. 1994). The intensity of competition was compared across sites over the range of standing biomass (a surrogate for productivity) within each site. The authors reported the results using two indices of competition intensity, relative competitive intensity (RCI) and absolute competitive intensity (ACI). There was some suggestion that ACI increased as neighbor biomass increased, but RCI showed no clear relationship to neighbor biomass (Figure 10.24). The authors concluded that there was no convincing evidence to support the hypothesis that competition increased along a gradient of increasing neighbor biomass, when measured across a wide range of sites and productivities. Since there are flaws in both ACI and RCI, it would be interesting to examine the results using other approaches to measuring competition intensity.
In another approach to synthesizing results over a greater range than is possible in an individual experiment, Goldberg et al. (1999) carried out a meta-analysis, or quantitative synthesis, of 14 papers reporting a large number of outcomes of competition experiments. The synthesis examined competition and facilitation among plants along productivity gradients, using vegetation bio-
mass as a surrogate for productivity. The meta-analysis had surprising results: when the measure of competition intensity used was the log response ratio (LRR), the researchers found a strong negative relationship—the opposite of what was expected—between competition intensity and productivity for final plant biomass and survival, but not for growth (Figure 10.25). When competition intensity was measured using RCI, they found no clear relationship between RCI and vegetation biomass except, again, a negative relationship for survival. It is difficult to know what these results mean for our understanding of the role of competition in environments of differing productivity. Clearly, however, the hypothesis of increasing competition intensity with increasing productivity is not supported as a general pattern, at least when competition is measured using these indices.
Resolution of Differing Results
What explains the lack of agreement among these studies, and what can be done to achieve a better understanding of the importance of competition over a range of environments? Performing experiments in a relatively consistent way across many sites, as Reader and colleagues did, is a big step in the right direction, as is using

210 Chapter 10 |
PAGE PROOF: 2ND PASS |
RCI
RCI
RCI
Relative competition intensity (RCI)
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Figure 10.25
Values for two measures of response to competitors—relative competition intensity (RCI) and log response ratio (LRR)—across 14 separate published studies over a range of natural biomass (standing crop, g/m2). Regression lines are shown only where there was a statistically significant relationship between the variables. Positive values of RCI or LRR indicate that competition is occurring, and negative values indicate that neighbors have a beneficial effect on target plant performance. (After Goldberg et al. 1999.)
modern quantitative synthesis techniques to bring together large numbers of independent studies, as Goldberg and her colleagues did. It is clear from these two efforts at synthesis that the conclusions can vary greatly depending on how the experiments are designed, how long they are maintained, what is measured, and how the results are analyzed.
Some of the inconsistencies in the conclusions among different researchers are almost certainly a result of these artifacts. More profoundly, most studies on plant
competition look at individual growth (or other measures of the responses of individual plants) in response to competition, rather than estimating population responses. Comparisons of RCI, for example, cannot show whether competition restricts where a species is found; it just does not provide enough information. If the question is what limits the distributions of species or determines community composition, studying pop- ulation-level responses is the only way to get an accurate answer.

PAGE PROOF: 2ND PASS
Summary
The importance of competition in shaping species distributions and community composition has been debated by ecologists for many years. Competition among plants is a reduction in fitness due to shared use of a resource that is in limited supply. The resources for which plants compete include light, water, mineral nutrients, space, pollinators, and seed dispersers. Most competition occurs among adjacent individuals. Thus, local density, not the total density of a population or community, determines the intensity of competition for an individual.
Competition often results in large size differences among individuals, ultimately translating into differences in survival and reproduction. Larger individuals usually have a competitive advantage over smaller individuals. However, larger size is not always advantageous.
The outcome of competition can be determined by a variety of mechanisms. One attempt to predict competitive outcome is the R* rule: over the long term, in a constant environment, the species with the ability to deplete resources to the lowest level when grown alone will competitively displace all other species. There is limited experimental evidence to support this proposition. Allelopathy—the release of toxins to poison competing neighbors—has long been hypothesized to explain some
Additional Readings
Classic References
Newman, E. I. 1973. Competition and diversity in herbaceous vegetation. Nature 244: 310.
Tansley, A. G. 1917. On competition between Galium saxatile L. (G. hercynicum Weig.) and Galium sylvestre Poll. (G. asperum Schreb.) on different types of soil. J. Ecol. 5: 173–179.
Watt, A. S. 1947. Pattern and process in the plant community. J. Ecol. 35: 1–22.
Yoda, K., T. Kira and K. Hozimu. 1963. Self thinning in overcrowded pure stands under cultivated and natural conditions. J. Biol., Osaka City Univ. 14: 107–129.
Contemporary Research
Aerts, R. 1999. Interspecific competition in natural plant communities: Mechanisms, trade-offs and plant-soil feedbacks. J. Exp. Bot. 50: 29–37.
Balzter, H., P. W. Braun and W. Kohler. 1998. Cellular automata models for vegetation dynamics. Ecol. Modelling 107: 113–125.
Competition 211
species distributions, although the experimental evidence for its existence is weak.
Whether and how competition structures communities may depend on whether dominance hierarchies are consistent among species and environments. If a species is dominant in one environment, will it continue to be dominant in other environments? Is the intensity of competition the same in all environments, or is it weaker in low-resource or stressful environments? Resolving these questions is difficult, in part because the answers depend on which measure of competition is used and whether one measures competitive effect—the effect of an individual on its neighbors—or competitive response—the effect of the neighbors on the individual. Many experimental designs are used to assess competition, including various ways of manipulating densities and frequencies. These experiments can be carried out in greenhouses, transplant gardens, and natural populations.
Models of competition are built on one of two assumptions: (1) that populations reach a stable end point at which the outcome is determined, or (2) that chance events, such as disturbance and herbivory, determine the outcome of competitive interactions. In the next chapter we explore the role of herbivory and other types of species interactions in shaping plant populations and communities.
Goldberg, D. and A. Novoplansky. 1997. On the relative importance of competition in unproductive environments. J. Ecol. 85: 409–418.
Grace, J. B. 1995. On the measurement of plant competition intensity. Ecology 76: 305–308.
Lavorel, S. and P. Chesson. 1995. How species with different regeneration niches coexist in patchy habitats with local disturbances. Oikos 74: 103–114.
Additional References
Keddy, P. A. 2001. Competition. 2nd Ed. Kluwer Academic, Dordrect (Netherlands) and Boston.
Grace, J. B. and D. Tilman (eds.). 1990. Perspectives on Plant Competition. Academic Press, New York.
Grover, J. P. 1997. Resource Competition. Chapman and Hall, London.
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