Physiological limits to sustainable energy budgets in birds and mammals: Ecological implications

Weiner, January

doi:10.1016/0169-5347(92)90009-z

Cited by 320 publications

(255 citation statements)

References 32 publications

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“…However, this and previous studies (reviewed in Speakman and Król, 2005a) have shown that there was no relationship between SusEI and food intake prior to reproduction and thus changes that occur during reproduction may be important. Effects of reproduction on the alimentary tract (Hammond and Diamond, 1992;Speakman and McQueenie, 1996;Weiner, 1992) that subsequently affect food intake may explain the existence of a relationship between SusEI in reproduction and that in non-reproductive animals after, rather than before, reproduction.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have suggested that food intake at baseline prior to reproduction is not related to the asymptotic intake (reviewed in Speakman and Król, 2005a) but in these studies food intake was measured before rather than after reproduction. It is potentially the case that the effects of reproduction on the alimentary tract (Hammond and Diamond, 1992;Speakman and McQueenie, 1996;Weiner, 1992) subsequently affect food intake; hence, a relationship between sustained maximum intake in reproduction and that in non-reproductive animals after, rather than before, reproduction might be significant.…”

Section: Methodsmentioning

confidence: 99%

“…adipose tissue) (Drent and Daan, 1980;Peterson et al, 1990;Weiner, 1992). SusEI is an important parameter because it may provide an upper bound that constrains many aspects of animal performance, like reproductive output, migration behaviour and thermoregulatory capabilities (Drent and Daan, 1980;Hammond and Diamond, 1997;Johnson et al, 2001a;Piersma, 2011;Speakman and Król, 2005a).…”

Section: Introductionmentioning

confidence: 99%

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Limits to sustained energy intake. XIV. Heritability of reproductive performance in mice

Vaanholt

Sinclair

Speakman

2013

Journal of Experimental Biology

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SUMMARYLimits to sustained energy intake (SusEI) are important because they constrain many aspects of animal performance. Individual variability in SusEI may be imposed by genetic factors that are inherited from parents to offspring. Here, we investigated heritability of reproductive performance in MF1 mice. Food intake, milk energy output (MEO) and litter mass were measured in mothers (F 0 ) and daughters (F 1 ) that were raising litters of 10 pups. Cross-fostering was designed so that half of each litter consisted of biological offspring and the rest came from one unrelated female (i.e. fostered pups). Food intake increased linearly during early lactation and reached a plateau during late lactation (day 9-13, called the asymptotic food intake, FI AS , equivalent to SusEI). Parent-offspring regression showed that FI AS , MEO and litter mass were all positively and significantly related between mothers and their biological daughters, but no significant relationships were found between the same traits for mothers and fostered daughters. FI AS at peak lactation was significantly correlated to adult food intake and body mass when the mice were 6months old and not lactating. In conclusion, a large part of the variation in FI AS could be explained by genetic variation or maternal effects in pregnancy whereas non-genetic maternal effects in lactation were negligible. As a consequence, biological daughters of mothers with high reproductive performance (i.e. high milk production and hence higher litter mass at weaning) had a better reproductive performance themselves, independent of the mother that raised them during lactation.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Limits to sustained energy intake. XIV. Heritability of reproductive performance in mice

Vaanholt

Sinclair

Speakman

2013

Journal of Experimental Biology

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“…SusMR is presumed to be limited by an animal's morphology. A big gut, and associated organs (such as the liver) that can process energy faster, makes more energy available to support SusMR but also requires a greater amount of maintenance (BMR) (Drent and Daan, 1980;Hammond and Diamond, 1992;Hammond and Diamond, 1997;Peterson et al, 1990;Weiner, 1989;Weiner, 1992). Therefore, an individual with a higher BMR will have greater capacity for SusMR and, if available energy is unlimited, they may be able to sustain greater reproductive output.…”

Section: Introductionmentioning

confidence: 99%

Associations between basal metabolic rate and reproductive performance in C57BL/6J mice

Johnston¹,

Souter²,

Erwin³

et al. 2007

Journal of Experimental Biology

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SUMMARY Basal metabolic rate (BMR) is highly variable, both between and within species. One hypothesis is that this variation may be linked to the capacity for sustained rate of energy expenditure, leading to associations between high BMR and performance during energy-demanding periods of life history, such as reproduction. However, despite the attractive nature of this hypothesis,previous studies have failed to show an association between BMR and fecundity. Our approach was to mate 304 C57BL/6J mice and allow them to wean pups before measuring BMR by indirect calorimetry. We did not find an association between BMR and litter mass, size or pup mass at birth or weaning that could not be accounted for by the body mass of the dam. There was also no relationship between BMR (or BMR corrected for body mass) and birth or weaning success,losses during weaning, or sex ratio. However, a significant relationship was found between BMR and gestational weight loss indicative of foetal resorption. This suggests that during pregnancy the available energy may be limited and partitioned away from the growing foetus and towards maintenance of the mother. In this context, a high BMR may actually be disadvantageous,conflicting with the idea that high BMR may bring reproductive benefits.

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“…This is because different areas provide different environmental limitations (Belsky 1990;John et al 2007;Walker 1987), species have physiological limits (Weiner 1992) and they respond to other species (Agrawal 2001). Such limitations mean that a small, finite number of possible states exist (Stringham, Krueger & Shave 2003).…”

Section: Thresholds Of Potential Concern Revisitedmentioning

confidence: 99%

From numbers to ecosystems and biodiversity: A mechanistic approach to monitoring

Ferreira

Deacon

Sithole

et al. 2011

Koedoe

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Diverse political, cultural and biological needs epitomise the contrasting demands impacting on the mandate of the South African National Parks (SANParks) to maintain biological diversity. Systems-based approaches and strategic adaptive management (learn by doing) enable SANParks to accommodate these demands. However, such a management strategy creates new information needs, which require an appropriate analytical approach. We use conceptual links between objectives, indicators, mechanisms and modulators to identify key concerns in the context of and related to management objectives. Although our suggested monitoring designs are based mostly on defined or predicted underlying mechanisms of a concern, SANParks requires inventory monitoring to evaluate its key mandate. We therefore propose a predictive inventory approach based on species assemblages related to habitat preferences. Inventories alone may not always adequately serve unpacking of mechanisms: in some cases population size needs to be estimated to meet the information needs of management strategies, but actual population sizes may indirectly affect how the species impact on other values. In addition, ecosystem objectives require multivariate assessments of key communities, which can be used in trend analysis. SANParks therefore needs to know how to detect and define trends efficiently, which, in turn, requires precision of measures of variables. Conservation implications: Current research needs with regard to monitoring should focus on defining designs to yield optimal precision whilst taking methodology, survey trade-offs and analytical approaches into account. Use of these directives and research will guide monitoring during evaluation of SANParks objectives at various scales.How to cite this article: Ferreira, S., Deacon, A., Sithole, H., Bezuidenhout, H., Daemane, M. & Herbst, M., 2011, ‘From numbers to ecosystems and biodiversity: A mechanistic approach to monitoring’, Koedoe 53(2), Art. #998, 12 pages. doi:10.4102/koedoe.v53i2.998

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Physiological limits to sustainable energy budgets in birds and mammals: Ecological implications

Cited by 320 publications

References 32 publications

Limits to sustained energy intake. XIV. Heritability of reproductive performance in mice

Limits to sustained energy intake. XIV. Heritability of reproductive performance in mice

Associations between basal metabolic rate and reproductive performance in C57BL/6J mice

From numbers to ecosystems and biodiversity: A mechanistic approach to monitoring

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