Demystifying the West, Brown & Enquist model of the allometry of metabolism
Demystifying the West, Brown & Enquist model of the allometry of metabolism
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DOI：
10.1111/j.1365-2435.2006.01136.x
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发表时间：
2006-04-01
影响因子：
5.2
通讯作者：
Olff, Han
中科院分区：
文献类型：
--
作者：
Etienne, Rampal S.;Apol, M. Emile F.;Olff, Han
代谢速率的异速生长关系一直是生态学中的重要关系之一。虽然人们普遍认为它的存在，但标度指数的确切值以及决定其值的关键机制仍然存在激烈争论。West、Brown和Enquist的网络模型（Science 276，122-126，1997）预测了（3）/4的值，但是，尽管吸引人，这个模型还没有被普遍接受。2在这里，我们重建了模型，并以一种更清晰和更直接的方式推导出指数，这种方式需要比原始模型更弱的假设。具体地，不需要网络的自相似性。如果West等人（1997）的一个或几个假设被认为是无效的，我们的公式甚至可以使用。此外，我们提供了一个比例常数（即异速生长比例关系的截距）的公式，该公式明确显示了温度和化学计量等因素对代谢的影响。
The allometry of metabolic rate has long been one of the key relationships in ecology. While its existence is generally agreed on, the exact value of the scaling exponent, and the key mechanisms that determine its value, are still hotly debated.The network model of West, Brown & Enquist (Science 276, 122-126, 1997) predicts a value of (3)/4 but, although appealing, this model has not been generally accepted.Here we reconstruct the model and derive the exponent in a clearer and much more straightforward way that requires weaker assumptions than the original model. Specifically, self-similarity of the network is not required. Our formulation can even be used if one or several assumptions of West et al. (1997) are considered invalid.Moreover, we provide a formula for the proportionality constant (i.e. the intercept of the allometric scaling relation) that shows explicitly where factors as temperature and stoichiometry affect metabolism.