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补偿性觅食在化学计量生产者-食草动物模型中的作用。

Compensatory Foraging in Stoichiometric Producer-Grazer Models.

机构信息

Department of Mathematics and Statistics, Texas Tech University, Lubbock, USA.

Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Canada.

出版信息

Bull Math Biol. 2019 Dec;81(12):4932-4950. doi: 10.1007/s11538-019-00665-2. Epub 2019 Sep 20.

Abstract

Nutritional constraints are common as food resources are rarely optimally suited for grazing species. Elemental mismatches between trophic levels can influence population growth and foraging behaviors. Grazing species, such as Daphnia, utilize optimal foraging techniques, such as compensatory feeding. Here, we develop two stoichiometric producer-grazer models, a base model that incorporates a fixed energetic foraging cost and an optimal foraging model where energetic foraging costs depend on food nutritional content. A variable energetic foraging cost results in cell quota-dependent predation behaviors. Analyzing and comparing these two models allows us to investigate the potential benefits of stoichiometric compensatory foraging behaviors on grazer populations. Optimal foraging strategies depend on environmental conditions, such as light and nutrient availability. In low-light conditions, fixed energetic foraging appears optimal regardless of the nutrient loads. However, in higher light conditions and intermediate nutrient loads, grazers utilizing compensatory foraging strategies gain an advantage. Overall, grazers can benefit from compensatory feeding behaviors when the food nutrient content of their prey becomes low or high.

摘要

营养限制很常见,因为食物资源很少完全适合食草物种。营养水平之间的元素不匹配会影响种群增长和觅食行为。例如,水蚤等食草动物会利用最优觅食技术,例如补偿性进食。在这里,我们开发了两种化学计量学的生产者-食草动物模型,一个基础模型,其中包含固定的能量觅食成本,以及一个最优觅食模型,其中能量觅食成本取决于食物的营养含量。可变的能量觅食成本导致细胞配额依赖的捕食行为。分析和比较这两个模型可以帮助我们研究化学计量补偿性觅食行为对食草动物种群的潜在好处。最优觅食策略取决于环境条件,如光照和营养供应。在低光照条件下,无论营养负荷如何,固定的能量觅食似乎都是最优的。然而,在高光照条件和中等营养负荷下,利用补偿性觅食策略的食草动物会获得优势。总的来说,当猎物的食物营养含量变低或变高时,食草动物可以从补偿性进食行为中受益。

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