Relevant bibliographies by topics / Metabolic scaling theory

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Metabolic scaling theory'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Metabolic scaling theory"

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Rucker, Robert B. "Allometric scaling: Theory and Applications." Functional Foods in Health and Disease 7, no. 5 (2017): 303. http://dx.doi.org/10.31989/ffhd.v7i5.343.

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Background: The history and bases for selectedallometric energy relationships are reviewed in this article, specifically those related to quarter-power scaling as described by M. Kleiber, i.e. interspecies metabolic rates scaleas a function of mass to the three-quarters power (metabolic body size). Interspecies requirements for essential factors are also noted (e.g., vitamins and minerals). A case is made thatinterspecies vitamin and mineral requirements are similar when expressed per unit of metabolizable energy consumed or metabolic body size. Furthermore, it is emphasized that: 1) these rel
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Gross, L. J., and B. Beckage. "Toward a metabolic scaling theory of crop systems." Proceedings of the National Academy of Sciences 109, no. 39 (2012): 15535–36. http://dx.doi.org/10.1073/pnas.1214556109.

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Coomes, David A., and Robert B. Allen. "Testing the Metabolic Scaling Theory of tree growth." Journal of Ecology 97, no. 6 (2009): 1369–73. http://dx.doi.org/10.1111/j.1365-2745.2009.01571.x.

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HE Jizheng, 贺纪正, 曹鹏 CAO Peng, and 郑袁明 ZHENG Yuanming. "Metabolic scaling theory and its application in microbial ecology." Acta Ecologica Sinica 33, no. 9 (2013): 2645–55. http://dx.doi.org/10.5846/stxb201202080164.

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Lin, Yue, Uta Berger, Volker Grimm, Franka Huth, and Jacob Weiner. "Plant Interactions Alter the Predictions of Metabolic Scaling Theory." PLoS ONE 8, no. 2 (2013): e57612. http://dx.doi.org/10.1371/journal.pone.0057612.

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Glazier, Douglas S., Andrew G. Hirst, and David Atkinson. "Shape shifting predicts ontogenetic changes in metabolic scaling in diverse aquatic invertebrates." Proceedings of the Royal Society B: Biological Sciences 282, no. 1802 (2015): 20142302. http://dx.doi.org/10.1098/rspb.2014.2302.

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Metabolism fuels all biological activities, and thus understanding its variation is fundamentally important. Much of this variation is related to body size, which is commonly believed to follow a 3/4-power scaling law. However, during ontogeny, many kinds of animals and plants show marked shifts in metabolic scaling that deviate from 3/4-power scaling predicted by general models. Here, we show that in diverse aquatic invertebrates, ontogenetic shifts in the scaling of routine metabolic rate from near isometry ( b R = scaling exponent approx. 1) to negative allometry ( b R < 1), or the rever
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Caruso, Tancredi, Diego Garlaschelli, Roberto Bargagli, and Peter Convey. "Testing metabolic scaling theory using intraspecific allometries in Antarctic microarthropods." Oikos 119, no. 6 (2010): 935–45. http://dx.doi.org/10.1111/j.1600-0706.2009.17915.x.

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Moses, Melanie E., Stephanie Forrest, Alan L. Davis, Mike A. Lodder, and James H. Brown. "Scaling theory for information networks." Journal of The Royal Society Interface 5, no. 29 (2008): 1469–80. http://dx.doi.org/10.1098/rsif.2008.0091.

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Networks distribute energy, materials and information to the components of a variety of natural and human-engineered systems, including organisms, brains, the Internet and microprocessors. Distribution networks enable the integrated and coordinated functioning of these systems, and they also constrain their design. The similar hierarchical branching networks observed in organisms and microprocessors are striking, given that the structure of organisms has evolved via natural selection, while microprocessors are designed by engineers. Metabolic scaling theory (MST) shows that the rate at which n
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Sears, Katie E., Andrew J. Kerkhoff, Arianne Messerman, and Haruhiko Itagaki. "Ontogenetic Scaling of Metabolism, Growth, and Assimilation: Testing Metabolic Scaling Theory with Manduca sexta Larvae." Physiological and Biochemical Zoology 85, no. 2 (2012): 159–73. http://dx.doi.org/10.1086/664619.

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Duncan, Richard P., David M. Forsyth, and Jim Hone. "TESTING THE METABOLIC THEORY OF ECOLOGY: ALLOMETRIC SCALING EXPONENTS IN MAMMALS." Ecology 88, no. 2 (2007): 324–33. http://dx.doi.org/10.1890/0012-9658(2007)88[324:ttmtoe]2.0.co;2.

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Dissertations / Theses on the topic "Metabolic scaling theory"

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Wilson, Ashley Anne. "Do Functional Traits Relate Metabolic Scaling Theory to Observed Growth Rate?" Thesis, The University of Arizona, 2015. http://hdl.handle.net/10150/578901.

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To model plant growth, ecologists have integrated metabolism into allometric equations, most notoriously known in the West Brown Enquist model, which is an extension of the all-inclusive Metabolic Scaling Theory (MST) (West et al. 1999). This formula takes form of the power function Ṁ = βMᶿ, where β is the allometric normalization constant, M is total biomass, θ is a scaling exponent, and Ṁ is the metabolic and thus growth rate of the organism. Kleiber's law assumes that M should scale to the ¾ power, and the WBE model supports this claim. To test this, we measured the growth rate of 64 trees
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Padfield, Daniel. "Scaling the effects of warming on metabolism from organisms to ecosystems." Thesis, University of Exeter, 2017. http://hdl.handle.net/10871/30443.

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Understanding the impact of warming on organisms, communities and ecosystems is a central problem in ecology. Although species responses to warming are well documented, our ability to scale up to predict community and ecosystem properties is limited. Improving understanding of the mechanisms that link patterns and processes over multiple levels of organisation and across spatial and temporal scales promises to enhance our ability to predict whether the biosphere will exacerbate, or mitigate, climate warming. In this thesis, I combine ideas from metabolic theory with a variety of experimental a
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Swetnam, Tyson L., Christopher D. O’Connor, and Ann M. Lynch. "Tree Morphologic Plasticity Explains Deviation from Metabolic Scaling Theory in Semi-Arid Conifer Forests, Southwestern USA." Public Library of Science, 2016. http://hdl.handle.net/10150/618959.

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A significant concern about Metabolic Scaling Theory (MST) in real forests relates to consistent differences between the values of power law scaling exponents of tree primary size measures used to estimate mass and those predicted by MST. Here we consider why observed scaling exponents for diameter and height relationships deviate from MST predictions across three semi-arid conifer forests in relation to: (1) tree condition and physical form, (2) the level of inter-tree competition (e.g. open vs closed stand structure), (3) increasing tree age, and (4) differences in site productivity. Scaling
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Swetnam, Tyson Lee. "Cordilleran Forest Scaling Dynamics And Disturbance Regimes Quantified By Aerial LiDAR." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/311231.

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Semi-arid forests are in a period of rapid transition as a result of unprecedented landscape scale fires, insect outbreaks, drought, and anthropogenic land use practices. Understanding how historically episodic disturbances led to coherent forest structural and spatial patterns that promoted resilience and resistance is a critical part of addressing change. Here my coauthors and I apply metabolic scaling theory (MST) to examine scaling behavior and structural patterns of semi-arid conifer forests in Arizona and New Mexico. We conceptualize a linkage to mechanistic drivers of forest assembly th
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Werner, Steffen. "Growth and Scaling during Development and Regeneration." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-208033.

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Life presents fascinating examples of self-organization and emergent phenomena. In multi-cellular organisms, a multitude of cells interact to form and maintain highly complex body plans. This requires reliable communication between cells on various length scales. First, there has to be the right number of cells to preserve the integrity of the body and its size. Second, there have to be the right types of cells at the right positions to result in a functional body layout. In this thesis, we investigate theoretical feedback mechanisms for both self-organized body plan patterning and size contro
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Ribeiro, Danilo Bandini 1980. "Efeitos do corte seletivo com impacto reduzido na assembléia de borboletas frugívoras da planície amazônica." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/315759.

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Orientador: André Victor Lucci Freitas<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Biologia<br>Made available in DSpace on 2018-08-18T19:14:01Z (GMT). No. of bitstreams: 1 Ribeiro_DaniloBandini_D.pdf: 21049242 bytes, checksum: aa5d5c4cafb6f3c74669788c029701d9 (MD5) Previous issue date: 2011<br>Resumo: A Amazônia representa mais da metade da área de todas as florestas tropicais do mundo, e vem sendo ameaçada por diversas atividades antrópicas, incluindo vários tipos de extração de madeira. O corte seletivo de impacto reduzido (em inglês "Reduced Impact Logging - RIL"
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Lin, Yue. "The role of different modes of interactions among neighbouring plants in driving population dynamics." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-105119.

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The general aim of my dissertation was to investigate the role of plant interactions in driving population dynamics. Both theoretical and empirical approaches were employed. All my studies were conducted on the basis of metabolic scaling theory (MST), because the complex, spatially and temporally varying structures and dynamics of ecological systems are considered to be largely consequences of biological metabolism. However, MST did not consider the important role of plant interactions and was found to be invalid in some environmental conditions. Integrating the effects of plant interactions a
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Choi, Sungho. "Metabolic scaling theory and remote sensing to model large-scale patterns of forest biophysical properties." Thesis, 2017. https://hdl.handle.net/2144/20716.

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Advanced understanding of the global carbon budget requires large-scale and long-term information on forest carbon pools and fluxes. In situ and remote sensing measurements have greatly enhanced monitoring of forest carbon dynamics, but incomplete data coverage in space and time results in significant uncertainties in carbon accounting. Although theoretical and mechanistic models have enabled continental-scale and global mapping, robust predictions of forest carbon dynamics are difficult without initialization, adjustment, and parameterization using observations. Therefore, this dissertation i
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Hu, Kai-Ting, and 胡愷庭. "A metabolic scaling theory driven approach to estimate litter production in near tropical montane forests." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/20041517939222811542.

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碩士<br>國立臺灣大學<br>地理環境資源學研究所<br>105<br>Litterfall plays a crucial role in the carbon and nutrient cycles of forest ecosystems. The amount of litterfall governs the amount of carbon and nutrient to be returned in a forest ecosystem. However, when it comes to quantifying forest litterfall, collection of canopy characteristic parameters for existing litterfall models is usually time-consuming and labor-intensive. Recent studies indicated that, in metabolic scaling theory, there is a common relationship between terrestrial plant production and biomass; a major part of the production is contributed b
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Werner, Steffen. "Growth and Scaling during Development and Regeneration." Doctoral thesis, 2015. https://tud.qucosa.de/id/qucosa%3A28651.

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Life presents fascinating examples of self-organization and emergent phenomena. In multi-cellular organisms, a multitude of cells interact to form and maintain highly complex body plans. This requires reliable communication between cells on various length scales. First, there has to be the right number of cells to preserve the integrity of the body and its size. Second, there have to be the right types of cells at the right positions to result in a functional body layout. In this thesis, we investigate theoretical feedback mechanisms for both self-organized body plan patterning and size contro
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Books on the topic "Metabolic scaling theory"

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Clarke, Andrew. The Metabolic Theory of Ecology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199551668.003.0012.

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The model of West, Brown &amp; Enquist (WBE) is built on the assumption that the metabolic rate of cells is determined by the architecture of the vascular network that supplies them with oxygen and nutrients. For a fractal-like network, and assuming that evolution has minimised cardiovascular costs, the WBE model predicts that s=metabolism should scale with mass with an exponent, b, of 0.75 at infinite size, and ~ 0.8 at realistic larger sizes. Scaling exponents ~ 0.75 for standard or resting metabolic rate are observed widely, but far from universally, including in some invertebrates with car
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Book chapters on the topic "Metabolic scaling theory"

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Andersen, Ken H. "Size Spectrum Theory." In Fish Ecology, Evolution, and Exploitation. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691192956.003.0002.

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This chapter follows the size-structure of the entire marine ecosystem. It shows how the Sheldon spectrum emerges from predator–prey interactions and the limitations that physics and physiology place on individual organisms. How predator–prey interactions and physiological limitations scale with body size are the central assumptions in size spectrum theory. To that end, this chapter first defines body size and size spectrum. Next, it shows how central aspects of individual physiology scale with size: metabolism, clearance rate, and prey size preference. On that basis, it is possible to derive a power-law representation of the size spectrum by considering a balance between the needs of an organism (its metabolism) and the encountered prey, which is determined by the spectrum, the clearance rate, and the size preference. Lastly, the chapter uses the solution of the size spectrum to derive the expected size scaling of predation mortality.
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Brose, Ulrich. "Trait-based models of complex ecological networks." In Theoretical Ecology. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198824282.003.0009.

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Over many decades, modelling natural communities of higher diversity and complexity has been hampered by the necessity to provide reasonable parameters for all processes at the level of populations and interactions. Trait-based approaches such as allometric scaling allow to use general species traits such as their average individual body mass to estimate the parameters of populations (e.g., metabolic rates) and interactions (e.g., attack rates). This chapter describes this trait-based network approach and illustrates its potential for understanding the structure and dynamics of complex networks using the examples of i) intrinsic community stability and ii) consequences of global change (e.g., warming). Finally, new research frontiers are illustrated that include spatial processes in meta-networks, the constraints of ecological network structure on ecosystem functioning, and non-trophic interactions.
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Conference papers on the topic "Metabolic scaling theory"

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Tourlomousis, Filippos, and Robert C. Chang. "2D and 3D Multiscale Computational Modeling of Dynamic Microorgan Devices as Drug Screening Platforms." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52734.

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The ability to incorporate three-dimensional (3D) hepatocyte-laden hydrogel constructs using layered fabrication approaches into devices that can be perfused with drugs enables the creation of dynamic microorgan devices (DMDs) that offer an optimal analog of the in vivo liver metabolism scenario. The dynamic nature of such in vitro metabolism models demands reliable numerical tools to determine the optimum process, material, and geometric parameters for the most effective metabolic conversion of the perfused drug into the liver microenvironment. However, there is a current lack of literature t
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