The ontogenetic stoichiometric bottleneck stabilizes herbivore–autotroph dynamics

Nakazawa, Takefumi

doi:10.1007/s11284-010-0752-9

Cited by 17 publications

(18 citation statements)

References 28 publications

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“…Clearly, future studies need to tease apart mechanisms underlying stoichiometric variation in the context of environmental heterogeneity. In addition, the ecological consequences of intraspecific variability in elemental composition are largely unknown, although few studies suggest that they can significantly influence demographic rates and population dynamics (Grover 2003; Nakazawa 2011). As such, a new challenge for ecological stoichiometry will be to understand the ecological and evolutionary consequences of intraspecific variability in organismal stoichiometry.…”

Section: Discussionmentioning

confidence: 99%

“…Most stoichiometric ecological models assume that intraspecific variability in organismal stoichiometry is narrower than interspecific variability and average stoichiometric ratios across individuals from the same populations (Hall 2009). However, recent evidence from a variety of taxa shows that intraspecific variability in organismal stoichiometry is wider than was previously thought (Pilati & Vanni 2007;Bertram et al 2008;Small & Pringle 2010), and that it can significantly affect the predictions of food web and population models (Nakazawa 2011). It is therefore important to characterize the range of intraspecific variability in organismal stoichiometry and to understand factors that generate it.…”

Section: Introductionmentioning

confidence: 99%

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Widespread intraspecific organismal stoichiometry among populations of the Trinidadian guppy

et al. 2012

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Summary1. Ecological stoichiometry expresses ecological interactions as the balance between multiple elements. It relates the ecological function of organisms to their elemental composition, or their organismal stoichiometry. Organismal stoichiometry is thought to reflect elemental investments in life history and morphology acting in concert with variability in abiotic or environmental conditions, but the relative contribution of these factors to natural variability in organismal stoichiometry is poorly understood. 2. We assessed the relative contribution of stream identity, predation, body size and sex to the organismal stoichiometry of guppies (Poecilia reticulata) in six streams in Trinidad. In this system, guppy life-history phenotype evolves in response to predation. Guppies adapted to highpredation (HP) pressure grow faster, mature earlier, produce fewer and smaller offspring and eat a higher-quality diet than guppies adapted to low-predation (LP) pressure. This pattern of lifehistory evolution is repeated in many rivers encompassing a wide range of abiotic conditions. 3. Organismal stoichiometry of guppies was widely variable, spanning up to $70% of the range of variability reported across freshwater fish taxa. Streams from where guppies were sampled were the most important predictor of organismal stoichiometry. In many cases, guppy populations from sites within the same stream varied as much as from sites in different streams. 4. Surprisingly, predation regime was a minor predictor of % C, C : P and C : N in female guppies, despite its strong correlation with life-history phenotype and other organismal traits in this species. Body size and sex were not significant predictors of organismal stoichiometry. 5. Guppies from HP sites were more stoichiometrically balanced with their diets than guppies from LP sites. The latter appeared to be more vulnerable to phosphorus limitation than the former, suggesting that dietary specialization associated with guppy life-history phenotype may have stoichiometric consequences that can affect guppy physiology and nutrient recycling. 6. Our findings suggest that local environmental conditions are a stronger predictor of organismal stoichiometry than organismal traits. We recommend that future work should explicitly consider correlations between organismal traits and organismal stoichiometry in the context of environmental heterogeneity.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Widespread intraspecific organismal stoichiometry among populations of the Trinidadian guppy

et al. 2012

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“…Also, different tissues and body compartments will differ in their elemental ratios , e.g., storage tissues like liver in vertebrates or hepatopancreas in crustaceans will be more C rich than muscle tissue, while gonads and bony structures may be more P rich. Thus, further studies into these kinds of ontogenetic bottlenecks (Nakazawa 2011) or tissue-specific allocations will refine our understanding of stoichiometric strategies in organisms relative to the more simplified studies based integrated or pooled analysis of ground-up whole organisms.…”

Section: Homeostasis Mass Balance and Trophic Transfer Efficiencymentioning

confidence: 99%

Ecological stoichiometry: An elementary approach using basic principles

Hessen

Elser

Sterner

et al. 2013

Limnology & Oceanography

269

251

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Based on the observation that organism‐specific elemental content creates ecologically relevant mismatches such as between plant and animal tissue, it was postulated—and experimentally verified—that this would profoundly affect trophic efficiency and nutrient fluxes in ecosystems. From its beginnings as a Daphnia‐centered perspective, the field of ecological stoichiometry (ES) has widened to include many organism groups, and ecosystem types, and the questions it addresses have broadened. We address some of the development of ES in aquatic sciences especially over the past 10 yr, focusing on homeostasis and mass balance in the consumer, and its effect on trophic efficiency and nutrient recycling in aquatic communities. We also discuss how ES has provided novel insights into genomic, proteomic, and cellular responses at one end of the biological scale as well as into large‐scale effects related to biogeochemical couplings at the ecosystem level. The coupling of global C, N, and P cycles via their biotic interactions and their responses to climate change accentuate ES as an important toolkit for ecosystem analysis. We also point to some of the major topics and principles where ES has provided new insights. For each of these topics we also point to some novel directions where the ES concepts likely will be useful in understanding and predicting biological responses.

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“…But we know only of one study that put this information to use in a Plimited population model by Nakazawa (2011). One intriguing result from this study, but in line with most recent population ecology theory (Roos and Persson, 2013), is that, assuming that P limitation affects mainly somatic growth, more P-limited populations should be dominated by P-rich juveniles, and hence be more P-rich (Nakazawa, 2011). More models releasing simplifying assumptions are needed, as well as experimental data outside of the crustacean realm.…”

Section: Demographic Processesmentioning

confidence: 99%

An Operational Framework for the Advancement of a Molecule-to-Biosphere Stoichiometry Theory

et al. 2017

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Biological stoichiometry is an approach that focuses on the balance of elements in biological interactions. It is a theory that has the potential to causally link material processes at all biological levels-from molecules to the biosphere. But the lack of a coherent operational framework has so far restricted progress in this direction. Here, we provide a framework to help infer how a stoichiometric imbalance observed at one level impacts all other biological levels. Our framework enables us to highlight the areas of the theory in need of completion, development and integration at all biological levels. Our hope is that this framework will contribute to the building of a more predictive theory of elemental transfers within the biosphere, and thus, to a better understanding of human-induced perturbations to the global biogeochemical cycles.

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The ontogenetic stoichiometric bottleneck stabilizes herbivore–autotroph dynamics

Cited by 17 publications

References 28 publications

Widespread intraspecific organismal stoichiometry among populations of the Trinidadian guppy

Widespread intraspecific organismal stoichiometry among populations of the Trinidadian guppy

Ecological stoichiometry: An elementary approach using basic principles

An Operational Framework for the Advancement of a Molecule-to-Biosphere Stoichiometry Theory

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