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  • Cited by 3
  • Print publication year: 2014
  • Online publication date: December 2013

2 - The storage effect: definition and tests in two plant communities

Summary

Introduction

Nature is pervaded by variation: the physical environment is ever changing in time and in space, populations fluctuate, and no two organisms are the same. To explore natural environments is to be confronted by variation, and the science of ecology is challenged by the persistent question: is this variation more than variation itself? Environmental variation can cause population fluctuations (Ripa et al. 1998), but can it do more than this? Does it affect how organisms interact with one another? Does it shape populations and communities? How and in what ways? Biologists firmly accept that variation shapes the organisms. Heritable variation is the engine of evolution, which is fuelled by environmental change. In life-history theory, it is widely accepted that organisms show adaptations to variation in the physical environment, exemplified by evolutionary theories of iteroparity and seed dormancy (Cohen 1966, Bulmer 1985, Ellner 1985a, Real and Ellner 1992). Fundamentally, these adaptations allow species to take advantage of favourable environmental conditions without being too vulnerable to unfavourable environmental conditions.

Community ecologists have had a variety of attitudes to variation, especially variation in the physical environment (Chesson and Case 1986). Successional change after disturbance had a prominent role in the early development of plant and ecosystem ecology (Clements 1916) and now has an important role in diversity maintenance theory relying on competition–colonisation tradeoffs (Hastings 1980). Spatial variation is often assumed to provide for, and should therefore promote, species diversity (Pacala and Tilman 1994, Amarasekare and Nisbet 2001, Snyder and Chesson 2004). Although it is often assumed that regular temporal variation, such as seasonal and diurnal variation, provides for temporal niches (Armstrong and McGehee 1976, Levins 1979, Brown 1989a, b, Chesson et al. 2001), there is also much unpredictable temporal variation, such as deviations of weather and climate from seasonal averages (Davis 1986) and disturbances such as fire (Connell 1978, Bond and Keeley 2005). Should we think of this unpredictable temporal variation as disruptive to ecological processes (May 1974)? Do organisms fail to adapt to unpredictable temporal variation? Are they merely jerked around by it? Life-history theory suggests otherwise (Bulmer 1985, Real and Ellner 1992), yet conclusions are often drawn from models that reflect no such adaptations, for example Lotka–Volterra models with unpredictable environmental variation added arbitrarily (Turelli 1981, Kilpatrick and Ives 2003).

References
Adler, P. B., HilleRisLambers, J., Kyriakidis, P. C., Guan, Q. F. and Levine, J. M. (2006). Climate variability has a stabilizing effect on the coexistence of prairie grasses. Proceedings of the National Academy of Sciences, USA 103, 12793–12798.
Adondakis, S. and Venable, D. L. (2004). Dormancy and germination in a guild of Sonoran Desert annuals. Ecology 85, 2582–2590.
Amarasekare, P. and Nisbet, R. M. (2001). Spatial heterogeneity, source-sink dynamics, and the local coexistence of competing species. American Naturalist 158, 572–584.
Angert, A. L., Huxman, T. E., Chesson, P. and Venable, D. L. (2009). Functional tradeoffs determine species coexistence via the storage effect. Proceedings of the National Academy of Sciences, USA 106, 11641–11645.
Armstrong, R. A. and McGehee, R. (1976). Coexistence of species competing for shared resources. Theoretical Population Biology 9, 317–328.
Baskin, C. C. and Baskin, J. M. (1998). Seeds: Ecology, Biogeography, and Evolution of Dormancy and Germination. San Diego, CA: Academic Press.
Bond, W. J. and Keeley, J. E. (2005). Fire as a global ‘herbivore’: the ecology and evolution of flammable ecosystems. Trends in Ecology and Evolution 20, 387–394.
Brown, J. S. (1989a). Coexistence on a seasonal resource. American Naturalist 133, 168–182.
Brown, J. S. (1989b). Desert rodent community structure: a test of four mechanisms of coexistence. Ecological Monographs 59, 1–20.
Bulmer, M. G. (1985). Selection for iteroparity in a variable environment. American Naturalist 126, 63–71.
Chapin, F. S., Schulze, E. and Mooney, H. A. (1990). The ecology and economics of storage in plants. Annual Review of Ecology and Systematics 21, 423–447.
Chesson, P. (1994). Multispecies competition in variable environments. Theoretical Population Biology 45, 227–276.
Chesson, P. (1997). Diversity maintenance by integration of mechanisms over various scales. In Proceedings of the Eighth International Coral Reef Symposium. Balboa, Panama City, Panama: Smithsonian Tropical Research Institute, pp. 405–410.
Chesson, P. (2000). General theory of competitive coexistence in spatially-varying environments. Theoretical Population Biology 58, 211–237.
Chesson, P. (2003). Quantifying and testing coexistence mechanisms arising from recruitment fluctuations. Theoretical Population Biology 64, 345–357.
Chesson, P. (2008). Quantifying and testing species coexistence mechanisms. In Valladares, F., Camacho, A., Elosegui, A. et al. (eds), Unity in Diversity: Reflections on Ecology after the Legacy of Ramon Margalef. Bilbao, Spain: Fundación BBVA, pp. 119–164.
Chesson, P. and Huntly, N. (1989). Short-term instabilities and long-term community dynamics. Trends in Ecology and Evolution 4, 293–298.
Chesson, P. and Huntly, N. (1997). The roles of harsh and fluctuating conditions in the dynamics of ecological communities. American Naturalist 150, 519–553.
Chesson, P. and Kuang, J. J. (2008). The interaction between predation and competition. Nature 456, 235–238.
Chesson, P. and Kuang, J. J. (2010). The storage effect due to frequency-dependent predation in multispecies plant communities. Theoretical Population Biology 78, 148–164.
Chesson, P., Donahue, M. J., Melbourne, B. A., and Sears, A. L. W. (2005). Scale transition theory for understanding mechanisms in metacommunities. In Holyoak, M., Leibhold, A. M. and Holt, R. D. (eds), Metacommunities: Spatial Dynamics and Ecological Communities. Chicago, IL: University of Chicago Press, pp. 279–306.
Chesson, P., Pacala, S. and Neuhauser, C. (2001). Environmental niches and ecosystem functioning. In Kinzig, A. P., Pacala, S. W. and Tilman, D. (eds), The Functional Consequences of Biodiversity. Princeton, NJ: Princeton University Press, pp. 213–245.
Chesson, P. L. and Case, T. J. (1986). Overview: nonequilibrium community theories: chance, variability, history, and coexistence. In Diamond, J. and Case, T. J. (eds), Community Ecology. New York: Harper and Row, pp. 229–239.
Chesson, P. L. and Huntly, N. (1988). Community consequences of life-history traits in a variable environment. Annales Zoologici Fennici 25, 5–16.
Chesson, P. L. and Warner, R. R. (1981). Environmental variability promotes coexistence in lottery competitive systems. American Naturalist 117, 923–943.
Choler, P., Michalet, R. and Callaway, R. M. (2001). Facilitation and competition on gradients in alpine plant communities. Ecology 82, 3295–3308.
Clements, F. E. (1916). Plant Succession: An Analysis of the Development of Vegetation. Washington DC: Carnegie Institution of Washington.
Cohen, D. (1966). Optimizing reproduction in a randomly varying environment. Journal of Theoretical Biology 12, 119–129.
Comins, H. N. and Noble, I. R. (1985). Dispersal, variability, and transient niches: species coexistence in a uniformly variable environment. American Naturalist 126, 706–723.
Connell, J. H. (1978). Diversity in tropical rain forests and coral reefs. Science 199, 1302–1310.
Davis, M. B. (1986). Climatic instability, time-lags and community disequilibrium. Diamond, J. and Case, T. J. (eds), Community Ecology. New York: Harper and Row, pp. 269–284.
Ellner, S. (1985a). ESS germination strategies in randomly varying environments. I. Logistic-type models. Theoretical Population Biology 28, 50–79.
Ellner, S. (1985b). ESS germination strategies in randomly varying environments. II Reciprocal yield-law models. Theoretical Population Biology 28, 80–116.
Facelli, J. M., Chesson, P. and Barnes, N. (2005). Differences in seed biology of annual plants in arid lands: a key ingredient of the storage effect. Ecology 86, 2998–3006.
Grubb, P. J. (1977). The maintenance of species-richness in plant communities: the importance of the regeneration niche. Biological Review 52, 107–145.
Harper, J. L. (1985). Modules, branches, and the capture of resources. In Jackson, J. B. C., Buss, L. W. and Cook, R. E. (eds), Population Biology and Evolution of Clonal Organisms. New Haven, CT: Yale University Press, pp. 1–33.
Hastings, A. (1980). Disturbance, coexistence, history, and competition for space. Theoretical Population Biology 18, 363–373.
Holt, R. D. (1977). Predation, apparent competition, and the structure of prey communities. Theoretical Population Biology 12, 197–229.
Holt, R. D. (1984). Spatial heterogeneity, indirect interactions, and the coexistence of prey species. American Naturalist 124, 377–406.
Hutchinson, G. E. (1961). The paradox of the plankton. American Naturalist 95, 137–145.
Inouye, R. S. (1980). Density dependent germination response by seeds of desert annuals. Oecologia 46, 235–238.
Juhren, M., Went, F. W. and Phillips, E. (1956). Ecology of desert plants. IV. Combined field and laboratory work on germination in the Joshua Tree National Monument, California. Ecology 37, 318–330.
Kelly, C. K. and Bowler, M. G. (2002). Coexistence and relative abundance in forest trees. Nature 417, 437–440.
Kelly, C. K. and Bowler, M. G. (2005). A new application of storage dynamics: differential sensitivity, diffuse competition, and temporal niches. Ecology 86, 1012–1022.
Kilpatrick, A. M. and Ives, A. R. (2003). Species interactions can explain Taylor’s power law for ecological time series. Nature 422, 65–68.
Kuang, J. J. and Chesson, P. (2009). Coexistence of annual plants: generalist seed predation weakens the storage effect. Ecology 90, 170–182.
Kuang, J. J. and Chesson, P. (2010). Interacting coexistence mechanisms in annual plant communities: frequency-dependent predation and the storage effect. Theoretical Population Biology 77, 56–70.
Lande, R. (1993). Risks of population extinction from demographic and environmental stochasticity and random catastrophes. American Naturalist 142, 911–927.
Levins, R. (1979). Coexistence in a variable environment. American Naturalist 114, 765–783.
May, R. M. (1974). Stability and Complexity in Model Ecosystems. 2nd edn. Princeton, NJ: Princeton University Press.
Pacala, S. W. and Tilman, D. (1994). Limiting similarity in mechanistic and spatial models of plant competition in heterogeneous environments. American Naturalist 143, 222–257.
Real, L. A. and Ellner, S. (1992). Life-history evolution in stochastic environments: a graphical mean variance approach. Ecology 73, 1227–1236.
Ripa, J., Lundberg, P. and Kaitala, V. (1998). A general theory of environmental noise in ecological food webs. American Naturalist 151, 256–263.
Rohde, K. (2005). Nonequilibrium Ecology. New York: Cambridge University Press.
Roxburgh, S. and Chesson, P. (1998). A new method for detecting species associations with spatially autocorrelated data. Ecology 79, 2180–2192.
Searle, S. R., Casella, G. and McCulloch, C. E. (1992). Variance Components. New York: John Wiley and Sons.
Sears, A. L. W. and Chesson, P. (2007). New methods for quantifying the spatial storage effect: an illustration with desert annuals. Ecology 88, 2240–2247.
Shao, J. and Tu, D. (1995). The Jackknife and Bootstrap. New York: Springer-Verlag.
Snyder, R. E. and Chesson, P. (2004). How the spatial scales of dispersal, competition, and environmental heterogeneity interact to affect coexistence. American Naturalist 164, 633–650.
Soong, K., Chen, M.-h., Chen, C.-l. et al. (2003). Spatial and temporal variation of coral recruitment in Taiwan. Coral Reefs 22, 224–228.
Tilman, D. (2004). Niche tradeoffs, neutrality, and community structure: a stochastic theory of resource competition, invasion, and community assembly. Proceedings of the National Academy of Sciences, USA 101, 10854–10861.
Turelli, M. (1980). Niche overlap and invasion of competitors in random environments II. The effects of demographic stochasticity. In Jager, W., Rost, H. and Tautu, P. (eds), Biological Growth and Spread: Mathematical Theories and Applications. Berlin: Springer-Verlag, pp. 119–129.
Turelli, M. (1981). Niche overlap and invasion of competitors in random environments I: models without demographic stochasticity. Theoretical Population Biology 20, 1–56.
Warner, R. R. and Chesson, P. L. (1985). Coexistence mediated by recruitment fluctuations: a field guide to the storage effect. American Naturalist 125, 769–787.
Wright, S. J., Muller-Landau, H. C., Calderon, O. and Hernandez, A. (2005). Annual and spatial variation in seedfall and seedling recruitment in a neotropical forest. Ecology 86, 848–860.