Optimal feeding under stoichiometric constraints: A model of compensatory feeding with functional response

Optimal feeding under stoichiometric constraints: A model of compensatory feeding with functional response
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化学计量约束下的最佳喂养:具有功能反应的补偿喂养模型

DOI:
10.1111/j.1600-0706.2011.19320.x
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发表时间:
2012
期刊:
影响因子:
3.4
通讯作者:
and J. Urabe
and J. Urabe
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Suzuki-Ohno;Y.;M. Kawata;and J. Urabe

文献摘要

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当食物的营养成分有限时,食草动物往往会增加摄食率。这种饲喂率的增加称为“补偿饲喂”。尽管它对草食动物种群和植物-觅食者动态有许多影响,但补偿性喂养尚未在功能上得到制定,特别是在与生态化学计量相关的方面。因此,我们构建了一个简单的数学模型,将最佳摄食率纳入 II 型功能反应中,以在碳或磷 (P) 等营养重要元素的限制下最大化觅食者的生长率。我们使用浮游食草动物水蚤作为模型食草动物。该模型表明,当食物的相对磷含量低于一定水平(称为阈值元素比)时,通过使用过量碳可以提高最佳摄食率。这个水平随着食物丰度的变化而变化。它还表明,觅食者是否应该表现出补偿性进食取决于它们的化学计量特征和消化特性,以及给定食物的同化性。这些发现有助于测试补偿喂养对特定动物有利的喂养条件。我们的模型可以很容易地纳入觅食者种群动态和猎物消费者相互作用模型中,因为可以通过分析给出最佳饲喂率。
When the nutrient content of food is limited, herbivores often increase their feeding rates. Such an increase in the feeding rate is called ‘compensatory feeding’. Although it has a number of implications for herbivore population and plant–forager dynamics, the compensatory feeding is not yet functionally formulated especially in relation with ecological stoichiometry. Therefore, we constructed a simple mathematical model by incorporating the optimal feeding rate into the type II functional response to maximize a forager's growth rate under constraints of carbon or nutritionally important element like phosphorus (P). We used the planktonic herbivoreDaphniaas a model herbivore. The model revealed that the optimal feeding rate increased by using excess carbon when relative P content of food was less than a certain level, which is known as the threshold elemental ratio. This level changed with the change of food abundance. It also showed that whether or not foragers should exhibit compensatory feeding depends on their stoichiometric characteristics and digestive traits, and also on the assimilability of a given food. These findings are helpful to test the feeding conditions under which compensatory feeding is advantageous for a given animal. Our model can be easily incorporated into forager population dynamics and prey‐consumer interaction models because the optimal feeding rate can be analytically given.