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3 - Life histories and body size

Published online by Cambridge University Press:  02 December 2009

David Atkinson
Affiliation:
The University of Liverpool
Andrew G. Hirst
Affiliation:
British Antarctic Survey
Alan G. Hildrew
Affiliation:
Queen Mary University of London
David G. Raffaelli
Affiliation:
University of York
Ronni Edmonds-Brown
Affiliation:
University of Hertfordshire
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Summary

Introduction

This chapter demonstrates how investigating patterns of survival, reproduction, growth and development – life histories – can improve understanding and prediction in diverse areas of ecology ranging from microevolution and population dynamics of individual species, to ecosystem function and biogeochemistry.

To make sense of the huge diversity of life history in nature, a first step is to derive a common set of traits, such as age and size at first reproduction, number and size of offspring, inter-clutch interval, and juvenile and adult survival. The effects of changes in the magnitude of each of these traits on the others (e.g. increased offspring size may be traded off against a reduction in offspring number), and their relationship to fitness or population growth under particular environmental conditions, can then be analyzed.

This chapter initially outlines how this process, life-history analysis, is used in adaptive evolutionary models that predict adult and offspring size within species. As there are numerous reviews that introduce life-history analysis (e.g. Lessells, 1991; Roff, 1992; Stearns, 1992; Daan & Tinbergen, 1997; Stearns, 2000; Roff, 2002; Begon, Townsend & Harper, 2006), this chapter outlines only the salient features. While some applications of life-history analysis are beyond the scope of this chapter (e.g. elasticity analysis; Benton & Grant, 1999), here we will evaluate the importance of life-history analysis in understanding and predicting body-size variation and the scaling of many traits with body size, at various levels of ecological organization ranging from within-genotype variation (phenotypic plasticity and changes during ontogeny) to differences among ecological functional groups that affect ecosystem function and biogeochemistry.

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Publisher: Cambridge University Press
Print publication year: 2007

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References

Angilletta, M. J. Jr. & Dunham, A. E. (2003). The temperature-size rule in ectotherms: simple evolutionary explanations may not be general. American Naturalist, 162, 332–342.CrossRefGoogle Scholar
Angilletta, M. J. Jr., Steury, T. D. & Sears, M. W. (2004). Temperature, growth rate, and body size in ectotherms: fitting pieces of a life-history puzzle. Integrative and Comparative Biology, 44, 498–509.CrossRefGoogle ScholarPubMed
Arendt, J. D. & Wilson, D. S. (1999). Countergradient selection for rapid growth in pumpkinseed sunfish: disentangling ecological and evolutionary effects. Ecology, 80, 2793–2798.CrossRefGoogle Scholar
Atkinson, D. (1994). Temperature and organism size – a biological law for ectotherms? Advances in Ecological Research, 25, 1–58.CrossRefGoogle Scholar
Atkinson, D. (1996). Ectotherm life-history responses to developmental temperature. In Animals and Temperature, eds. Johnston, I. A. and Bennett, A. F.. Cambridge: Cambridge University Press, pp. 183–204.CrossRefGoogle Scholar
Atkinson, D. & Sibly, R. M. (1997). Why are organisms usually bigger in colder environments? Making sense of a life history puzzle. Trends in Ecology and Evolution, 12, 235–239.CrossRefGoogle ScholarPubMed
Atkinson, D. & Thorndyke, M. (2001). The nature of animal developmental ecology: integrating the ‘how’ and the ‘why’. In Environment and Animal Development: Genes, Life Histories and Plasticity, ed. Atkinson, D. and Thorndyke, M.. Oxford: BIOS Scientific, pp. 1–28.Google Scholar
Atkinson, D., Morley, S. A., Weetman, D. & Hughes, R. N. (2001). Offspring size responses to maternal environment in ectotherms. In Environment and Animal Development: Genes, Life Histories and Plasticity, ed. Atkinson, D. and Thorndyke, M.. Oxford: BIOS Scientific, pp. 269–286.Google Scholar
Atkinson, D., Ciotti, B. J. & Montagnes, D. J. S. (2003). Protists decrease in size linearly with temperature: ca 2.5% ℃− 1. Proceedings of the Royal Society of London, Series B, 270, 2605–2611.CrossRefGoogle Scholar
Banse, K. (1995). Zooplankton – pivotal role in the control of ocean production. ICES Journal of Marine Science, 52, 265–277.CrossRefGoogle Scholar
Begon, M., Townsend, C. R. & Harper, J. L. (2006). Ecology: From Individuals to Ecosystems, 4th edn. Malden, MA: Blackwell Publishing.Google Scholar
Benton, T. G. & Grant, A. (1999). Elasticity analysis as an important tool in evolutionary and population ecology. Trends in Ecology and Evolution, 14, 467–471.CrossRefGoogle ScholarPubMed
Benton, T. G. & Grant, A. (2000). Evolutionary fitness in ecology: comparing measures of fitness in stochastic, density-dependent environments. Evolutionary Ecology Research, 2, 769–789.Google Scholar
Berrigan, D. & Charnov, E. L. (1994). Reaction norms for age and size at maturity in response to temperature: a puzzle for life historians. Oikos, 70, 474–478.CrossRefGoogle Scholar
Berrigan, D. & Koella, J. C (1994). The evolution of reaction norms: simple models for age and size at maturity. Journal of Evolutionary Biology, 7, 549–566.CrossRefGoogle Scholar
Blanckenhorn, W. U. (2000). The evolution of body size: what keeps organisms small?Quarterly Review of Biology, 75, 385–407.CrossRefGoogle ScholarPubMed
Bonsall, M. B., Jansen, V. A. A. & Hassell, M. P. (2004). Life history trade-offs assemble ecological guilds. Science, 306, 111–114.CrossRefGoogle ScholarPubMed
Brommer, J. E. (2000). The evolution of fitness in life-history theory. Biological Reviews, 75, 377–404.CrossRefGoogle ScholarPubMed
Brommer, J. E., Merila, J. & Kokko, H. (2002). Reproductive timing and individual fitness. Ecology Letters, 5, 802–810.CrossRefGoogle Scholar
Brommer, J. E., Gustafsson, L., Pietiainen, H. & Merila, J. (2004). Single-generation estimates of individual fitness as proxies for long-term genetic contribution. American Naturalist, 163, 505–517.CrossRefGoogle ScholarPubMed
Brooks, J. L. & Dodson, S. I. (1965). Predation, body size and composition of plankton. Science, 150, 28–35.CrossRefGoogle ScholarPubMed
Brown, J. H. & Sibly, R. M. (2006). Life-history evolution under a production constraint. Proceedings of the National Academy of Sciences of the USA, 103, 17595–17599.CrossRefGoogle Scholar
Brown, J. H. & West, G. B. (ed.) (2000). Scaling in Biology. Oxford: Oxford University Press.Google Scholar
Brown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M. & West, G. B. (2004). Toward a metabolic theory of ecology. Ecology, 85, 1771–1789.CrossRefGoogle Scholar
Bunker, A. J. & Hirst, A. G. (2004). Fecundity of marine planktonic copepods: global rates and patterns in relation to chlorophyll a, temperature and body weight. Marine Ecology Progress Series, 279, 161–181.CrossRefGoogle Scholar
Caswell, H. (1989). Matrix Population Models. Sunderland MA: Sinauer.Google Scholar
Charnov, E. R. (1993). Life History Invariants. Oxford: Oxford University Press.Google Scholar
Conover, D. O. & Munch, S. B. (2002). Sustaining fisheries yields over evolutionary time scales. Science, 297, 94–96.CrossRefGoogle ScholarPubMed
Conover, D. O. & Schultz, E. T. (1995). Phenotypic similarity and the evolutionary significance of countergradient variation. Trends in Ecology and Evolution, 10, 248–252.CrossRefGoogle ScholarPubMed
Daan, S. & Tinbergen, J. M. (1997). Adaptation of life histories. In Behavioural Ecology: An Evolutionary Approach, ed. Krebs, J. R. and Davies, N. B.. Oxford: Blackwell Science, pp. 311–333.Google Scholar
Day, T. & Rowe, L. (2002). Developmental thresholds and the evolution of reaction norms for age and size at life-history transitions. American Naturalist, 159, 338–350.Google ScholarPubMed
Jong, G. (2005). Is invariance across animal species just an illusion? Science, 309, 1193–1195.CrossRefGoogle ScholarPubMed
Doughty, P. & Reznick, D. N. (2004). Patterns and analysis of adaptive phenotypic plasticity. In Phenotypic Plasticity, ed. DeWitt, T. J. and Scheiner, S. M.. Oxford: Oxford University Press, pp. 126–150.Google Scholar
Ernande, B., Dieckmann, U. & Heino, M. (2004). Adaptive changes in harvested populations: plasticity and evolution of age and size at maturation. Proceedings of the Royal Society of London, Series B, 271, 415–423.CrossRefGoogle ScholarPubMed
Gardmark, A., Dieckman, U. & Lundberg, P. (2003). Life-history evolution in harvested populations: the role of natural predation. Evolutionary Ecology Research, 5, 239–257.Google Scholar
Gillooly, J. F., Charnov, E. L., West, G. B., Savage, V. M. & Brown, J. H. (2002). Effects of size and temperature on development time. Nature, 417, 70–73.CrossRefGoogle Scholar
Gillooly, J. F., Charnov, E. L., Brown, J. H., Savage, V. M. & West, G. B. (2003). Reply. Nature, 424, 270.CrossRefGoogle Scholar
Glazier, D. S. (2005). Beyond the ‘3/4-power law’: variation in the intra- and interspecific scaling of metabolic rate in animals. Biological Reviews of the Cambridge Philosophical Society, 80, 611–662.CrossRefGoogle ScholarPubMed
Glazier, D. S. (2006). The 3/4 power law is not universal: evolution of isometric, ontogenetic metabolic scaling in pelagic animals. Bioscience, 56, 325–332.CrossRefGoogle Scholar
Gotthard, K. & Nylin, S. (1995). Adaptive plasticity and plasticity as an adaptation: aselective review of plasticity in animal morphology and life history. Oikos, 74, 3–17.CrossRefGoogle Scholar
Heino, M., Dieckmann, U. & Godø, O. (2002a). Estimating reaction norms for age and size at maturation with reconstructed immature size distributions: a new technique illustrated by application to Northeast Arctic cod. ICES Journal of Marine Science, 59, 562–575.CrossRefGoogle Scholar
Heino, M., Dieckmann, U. & Godø, O. (2002b). Measuring probabilistic reaction norms for age and size at maturation. Evolution, 56, 669–678.CrossRefGoogle Scholar
Hirst, A. G. & Bunker, A. J. (2003). Growth in marine planktonic copepods: global rates and patterns in relation to chlorophyll a, temperature, and body weight. Limnology and Oceanography, 48, 1988–2010.CrossRefGoogle Scholar
Hirst, A. G. & Kiørboe, T. (2002). Mortality of marine planktonic copepods: global rates and patterns. Marine Ecology Progress Series, 230, 195–209.CrossRefGoogle Scholar
Hirst, A. G. & López-Urrutia, A. (2006). Effects of evolution on egg development time. Marine Ecology Progress Series, 326, 29–35.CrossRefGoogle Scholar
Hochachka, P. W. & Somero, G. N. (2002). Biochemical Adaptation. Mechanism and Process in Physiological Evolution. Oxford: Oxford University Press.Google Scholar
Houston, A. I. & McNamara, J. M. (1992). Phenotypic plasticity as a state dependent life-history decision. Evolutionary Ecology, 6, 243–253.CrossRefGoogle Scholar
Houston, A. I. & McNamara, J. M. (1999). Models of Adaptive Behaviour. An Approach Based on State. Cambridge: Cambridge University Press.Google Scholar
Jennings, S., Greenstreet, S. P. R., Hill, L.et al. (2002). Long term trends in the trophic structure of the North Sea fish community: evidence from stable-isotope analysis, size-spectra and community metrics. Marine Biology, 141, 1085–1097.Google Scholar
Jeppesen, E., Jensen, J. P., Søndergaard, M.et al. (2004). Impact of fish predation on cladoceran body weight distribution and zooplankton grazing in lakes during winter. Freshwater Biology, 49, 432–447.CrossRefGoogle Scholar
Kawecki, T. J. & Stearns, S. C. (1993). The evolution of life histories in spatially heterogeneous environments: optimal reaction norms revisited. Evolutionary Ecology, 7, 155–174.CrossRefGoogle Scholar
Kiørboe, T. (1998). Population regulation and role of mesozooplankton in shaping marine pelagic food webs. In Eutrophication in Planktonic Ecosystems: Food Web Dynamics and Elemental Cycling, ed. T. Tamminen and H. Kuoas. Hydrobiologia, 363, 13–27.CrossRef
Kiørboe, T. & Sabatini, M. (1994). Reproductive and life cycle strategies in egg-carrying cyclopoid and free-spawning calanoid copepods. Journal of Plankton Research, 16, 1353–1366.CrossRefGoogle Scholar
Kozłowski, J. (1993). Measuring fitness in life-history studies. Trends in Ecology & Evolution, 8, 84–85.CrossRefGoogle ScholarPubMed
Kozłowski, J. & Weiner, J. (1997). Interspecific allometries are by-products of body size optimization. American Naturalist, 149, 352–380.CrossRefGoogle Scholar
Kozłowski, J., Konarzewski, M. & Gawelczyk, A. T. (2003). Cell size as a link between non-coding DNA and metabolic rate scaling. Proceedings of the National Academy of Sciences of the USA, 100, 14080–14085.CrossRefGoogle Scholar
Kozłowski, J., Czarnołęski, M. & Dańko, M. (2004). Can optimal resource allocation models explain why ectotherms grow larger in the cold?Integrative and Comparative Biology, 44, 480–493.CrossRefGoogle ScholarPubMed
Law, R. (2000). Fishing, selection, and phenotypic evolution. ICES Journal of Marine Science, 57, 659–668.CrossRefGoogle Scholar
Lessells, C. M. (1991). The evolution of life histories. In Behavioural Ecology. An Evolutionary Approach, 3rd edn, ed. Krebs, J. R. and Davies, N. B.. Oxford: Blackwell Scientific Publications, pp. 32–68.Google Scholar
Liang, D. & Uye, S. (1997). Population dynamics and production of the planktonic copepods in a eutrophic inlet of the Inland Sea of Japan. IV. Pseudodiaptomus marinus, the egg-carrying calanoid. Marine Biology, 128, 415–421.CrossRefGoogle Scholar
Lorenzen, K. & Enberg, K. (2002). Density-dependent growth as a key mechanism in the regulation of fish populations: evidence from among-species comparisons. Proceedings of the Royal Society of London, Series B, 269, 49–54.CrossRefGoogle Scholar
McArdle, B. H. (2003). Lines, models, and errors: regression in the field. Limnology and Oceanography, 48, 1363–1366.CrossRefGoogle Scholar
McGurk, M. D. (1986). Natural mortality of marine pelagic fish eggs and larvae: role of spatial patchiness. Marine Ecology Progress Series, 34, 227–242.CrossRefGoogle Scholar
Metz, J. A. J., Nisbet, R. M. & Geritz, S. A. H. (1992). How should we define fitness for general ecological scenarios. Trends in Ecology and Evolution, 7, 198–202.CrossRefGoogle ScholarPubMed
Moss, B. (1998). Ecology of Fresh Waters, 3rd edn. Oxford: Blackwell Scientific.Google Scholar
Mylius, S. D. & Diekmann, O. (1995). On evolutionarily stable life histories, optimization and the need to be specific about density dependence. Oikos, 74, 214–224.CrossRefGoogle Scholar
Nee, S., Colegrave, N., West, S. A. & Grafen, A. (2005). The illusion of invariant quantities in life histories. Science, 309, 1236–1239.CrossRefGoogle ScholarPubMed
Ohman, M. D. & Wood, S. N. (1996). Mortality estimation for planktonic copepods: Pseudocalanus newmani in a temperate fjord. Limnology and Oceanography, 41, 126–135.CrossRefGoogle Scholar
Olsen, E. M., Heino, M., Lilly, G. R.et al. (2004). Maturation trends indicative of rapid evolution preceded the collapse of northern cod. Nature, 428, 932–935.CrossRefGoogle ScholarPubMed
Reznick, D. N. & Ghalambor, C. K. (2005). Can commercial fishing cause evolution? Answers from guppies (Poecilia reticulata). Canadian Journal of Fisheries and Aquatic Sciences, 62, 791–801.CrossRefGoogle Scholar
Roff, D. A. (1992). The Evolution of Life Histories: Theory and Analysis. London: Chapman & Hall.Google Scholar
Roff, D. A. (2002). Life History Evolution. Sunderland, MA: Sinauer.Google Scholar
Sakwinska, O. (2002). Response to fish kairomone in Daphnia galeata life history traits relies on shift to earlier instar. Oecologia, 131, 409–417.CrossRefGoogle ScholarPubMed
Savage, V. M., Gillooly, J. F., Woodruff, W. H.et al. (2004). The predominance of quarter-power scaling in biology. Functional Ecology, 18, 257–282.CrossRefGoogle Scholar
Sibly, R. M. & Atkinson, D. (1994). How rearing temperature affects optimal adult size in ectotherms. Functional Ecology, 8, 486–493.CrossRefGoogle Scholar
Sibly, R. M. & Calow, P. (1983). An integrated approach to life-cycle evolution using selective landscapes. Journal of Theoretical Biology, 102, 527–547.CrossRefGoogle Scholar
Stearns, S. C. (1992). The Evolution of Life Histories. Oxford: Oxford University Press.Google Scholar
Stearns, S. C. (2000). Life history evolution: successes, limitations, and prospects. Naturwissenschaften, 87, 476–486.CrossRefGoogle ScholarPubMed
Stearns, S. C. & Koella, J. (1986). The evolution of phenotypic plasticity in life-history traits: predictions for norms of reaction for age- and size-at-maturity. Evolution, 40, 893–913.CrossRefGoogle ScholarPubMed
Stibor, H. & Lüning, J. (1994). Predator induced phenotypic variation in the pattern of growth and reproduction in Daphnia hyalina. Functional Ecology, 8, 97–101.CrossRefGoogle Scholar
Stibor, H. & Navarra, D. M. (2000). Constraints on the plasticity of Daphnia magna influenced by fish-kairomones. Functional Ecology, 14, 455–459.CrossRefGoogle Scholar
Strathmann, R. R., Staver, J. M. & Hoffman, J. R. (2002). Risk and the evolution of cell-cycle durations of embryos. Evolution, 56, 708–720.CrossRefGoogle ScholarPubMed
Thygesen, U. H., Farnsworth, K. D., Andersen, K. H. & Beyer, J. E. (2005). How optimal life history changes with the community size-spectrum. Proceedings of the Royal Society of London Series B, 272, 1323–1331.CrossRefGoogle ScholarPubMed
Tollrian, R. & Harvell, C. D. (eds) (1998). The Ecology and Evolution of Inducible Defences. Princeton, NJ: Princeton University Press.Google Scholar
Verity, P. G. & Smetacek, V. (1996). Organism life cycle, predation, and the structure of marine pelagic ecosystems. Marine Ecology Progress Series, 130, 277–293.CrossRefGoogle Scholar
Walsh, M. R., Munch, S. B., Chiba, S. & Conover, D. O. (2006). Maladaptive changes in multiple traits caused by fishing: impediments to population recovery. Ecology Letters, 9, 142–148.CrossRefGoogle ScholarPubMed
Waxman, D. & Gavrilets, S. (2005). 20 questions on adaptive dynamics. Journal of Evolutionary Biology, 18, 1139–1154.CrossRefGoogle ScholarPubMed
Weetman, D. & Atkinson, D. (2002). Antipredator reaction norms for life history traits in Daphnia pulex: dependence on temperature and food. Oikos, 98, 299–307.CrossRefGoogle Scholar
West, G. B., Brown, J. H. & Enquist, B. J. (1997). A general model for the origin of allometric scaling laws in biology. Science, 276, 122–126.CrossRefGoogle ScholarPubMed
Zaret, T. M. (1980). Predation and Freshwater Communities. New Haven: Yale University Press.Google Scholar

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