Resource Allocation and Life History Traits of Plethodon cinereus at Different Elevations

Takahashi, Mizuki K.; Pauley, Thomas K.

doi:10.1674/0003-0031-163.1.87

Cited by 19 publications

(15 citation statements)

References 31 publications

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“…The cold acclimation treatment resulted in an HSI increase for the C1, C2 coastal populations but not for the P1, P2 pond populations. Intraspecific variation in energy storage strategies are often observed along latitudinal or elevation ranges in relation to the duration, severity, and predictability of the adverse period (Schultz and Conover, ; Billerbeck et al, ; Cuthill et al, ; Takahashi and Pauley, ; Finstad et al, ). Poikilothermic metazoans typically respond to adverse winter temperatures by undergoing metabolic depression and lowering their energetic needs or by compensating for the temperature effect and maintaining their metabolic levels steady.…”

Section: Discussionmentioning

confidence: 99%

Differences in the metabolic response to temperature acclimation in nine‐spined stickleback (Pungitius pungitius) populations from contrasting thermal environments

et al. 2014

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Metabolic responses to temperature changes are crucial for maintaining the energy balance of an individual under seasonal temperature fluctuations. To understand how such responses differ in recently isolated populations (<11,000 years), we studied four Baltic populations of the nine-spined stickleback (Pungitius pungitius L.) from coastal locations (seasonal temperature range, 0-29°C) and from colder, more thermally stable spring-fed ponds (1-19°C). Salinity and predation pressure also differed between these locations. We acclimatized wild-caught fish to 6, 11, and 19°C in common garden conditions for 4-6 months and determined their aerobic scope and hepatosomatic index (HSI). The freshwater fish from the colder (2-14°C), predator-free pond population exhibited complete temperature compensation for their aerobic scope, whereas the coastal populations underwent metabolic rate reduction during the cold treatment. Coastal populations had higher HSI than the colder pond population at all temperatures, with cold acclimation accentuating this effect. The metabolic rates and HSI for freshwater fish from the pond with higher predation pressure were more similar to those of the coastal ones. Our results suggest that ontogenic effects and/or genetic differentiation are responsible for differential energy storage and metabolic responses between these populations. This work demonstrates the metabolic versatility of the nine-spined stickleback and the pertinence of an energetic framework to better understand potential local adaptations. It also demonstrates that instead of using a single acclimation temperature thermal reaction norms should be compared when studying individuals originating from different thermal environments in a common garden setting.

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Section: Discussionmentioning

confidence: 99%

Differences in the metabolic response to temperature acclimation in nine‐spined stickleback (Pungitius pungitius) populations from contrasting thermal environments

et al. 2014

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“…Organisms distributed across geographical gradients experience variation in stored energy requirements and patterns of higher storage in areas with harsher winters have been observed along latitudinal (Schultz and Conover 1997;Berg et al 2009;Jönsson et al 2009;Finstad et al 2010) and altitudinal gradients (Tracy 1999;Takahashi and Pauley 2010). Other factors that affect energy allocation include body size (Deegan 1986;Henderson et al 1988;Heulett et al 1995;Lampo and Medialdea 1996;Post and Parkinson 2001;Scott et al 2007), life history Jonsson 1998, 2003;Rikardsen and Elliott 2000;Morgan et al 2002), and food availability and quality (Heulett et al 1995;Garvey and Marschall 2003;Sogard and Spencer 2004;Borcherding et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Energy allocation strategy modifies growth–survival trade-offs in juvenile fish across ecological and environmental gradients

Mogensen

2011

Oecologia

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In young temperate zone fishes, conflicting energy demands lead to variability in growing season and winter survival. Growing season survival is driven by size-dependent predation risk whereas winter survival is constrained by autumn body size, energy storage and winter duration. We developed a model of the seasonality of energetics coupled to empirical measures of resource availability, size-dependent predation and temperature seasonality for rainbow trout (Oncorhynchus mykiss) in two sets of lakes in British Columbia, Canada, representing endpoints of a gradient of temperature, growing season duration and winter duration. This model was used to determine the energy allocation strategy which maximized first-year survival across these gradients. Survival was sensitive to the timing of the switch from somatic to storage strategies in cold, short growing season, low resource environments. A broader range of energy allocation strategies were viable in warmer, longer growing season and higher resource lakes. We used empirical observations of autumn energy storage and our modeled values for size-dependent minimal lipid levels needed to survive winter in each system to estimate winter survival for juvenile rainbow trout. Winter survival estimates were 6% in cold lakes with low resources, 82% in warm, lakes with low resources and 100% in warm lakes with high resources. Fish in warm lakes with ample resources allocated substantially more to storage than the minimum required to survive winter generated from our model, suggesting additional selection pressures for increased storage when there was ample surplus energy. We concluded that growth-survival trade-offs, modified by seasonality of the environment, influenced the growing season energy allocation strategies for young-of-the-year fish, and suggested this may be important for understanding population viability across environmental gradients.

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“…The effects of single environmental factors on physiological status were observed for different taxa (Buckley 1979;Grieshaber et al 1994;Koelsch 2001;Schill and Koehler 2004b). In addition, the energy transfer from adults to their offspring was analysed (Thiyagarajan et al 2003;Darriba et al 2005), and for some species, the female condition was correlated with fitness (Jönsson et al 2009;Takahashi and Pauley 2010). The analytical methods used to measure physiological conditions ranged from simple gravimetric quantification of lipids in salamander tails (Takahashi and Pauley 2010) or frogs (Jönsson et al 2009) to the analysis of lipid class composition in Antarctic krill (Mayzaud et al 1998).…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the energy transfer from adults to their offspring was analysed (Thiyagarajan et al 2003;Darriba et al 2005), and for some species, the female condition was correlated with fitness (Jönsson et al 2009;Takahashi and Pauley 2010). The analytical methods used to measure physiological conditions ranged from simple gravimetric quantification of lipids in salamander tails (Takahashi and Pauley 2010) or frogs (Jönsson et al 2009) to the analysis of lipid class composition in Antarctic krill (Mayzaud et al 1998). In addition, the measurement of plasma metabolites of lipid catabolism in migrating birds (Guglielmo et al 2002;Lyons et al 2008) and the analysis of RNA/DNA ratio in marine fish and corals were undertaken (Buckley 1984;Buckley and Szmant 2004).…”

Section: Introductionmentioning

confidence: 99%

Physiological indicators of fitness in benthic invertebrates: a useful measure for ecological health assessment and experimental ecology

et al. 2011

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Physiological indicators of fitness present a measure of an organism's response to a changing environment. An analysis of how these organisms allocate and store their energy resources provides an understanding of how they cope with such environmental changes. Each individual has to balance the investment necessary to acquire a certain resource with the energy gained by it. This trade-off can be monitored by measuring several physiological indicators of fitness such as energy storage components, metabolic state or RNA/DNA ratio. Because environmental adaptations and ecological strategies of survival are best examined within the natural environment, our research has to rely on the physiological indicators that are easily accessible in the field. The physiological indicators presented here are significant for an individual's fitness and in turn lead to reliable values in field-collected samples. Based on our own expertise and on a literature survey, the physiological relevance of the presented indicators is explained. Furthermore, some consideration to the analytical methods used to obtain the physiological indicators is given, and possible errors introduced at the sampling site and during the laboratory procedures are discussed. This work demonstrates that the integration of ecological and physiological expertise facilitates the identification of future ecological problems much earlier than separate approaches of both disciplines alone.

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Resource Allocation and Life History Traits of Plethodon cinereus at Different Elevations

Cited by 19 publications

References 31 publications

Differences in the metabolic response to temperature acclimation in nine‐spined stickleback (Pungitius pungitius) populations from contrasting thermal environments

Differences in the metabolic response to temperature acclimation in nine‐spined stickleback (Pungitius pungitius) populations from contrasting thermal environments

Energy allocation strategy modifies growth–survival trade-offs in juvenile fish across ecological and environmental gradients

Physiological indicators of fitness in benthic invertebrates: a useful measure for ecological health assessment and experimental ecology

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