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Testing optimal body mass theory: Evidence for cost of fat in wintering birds

机译:测试最佳体重理论:越冬鸟类脂肪成本的证据

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Optimal body mass models for small wintering birds are central to animal ecology, and offer insights into maximizing individual fitness in a complex environment. Such models assume both costs and benefits of fat deposition, and consider how they affect winter survival probability. Hypothesized mass‐dependent costs of elevated fat include increased wing load and subsequent reduced ability to avoid predators, as well as increased predator exposure while feeding to fatten. A likely benefit of winter fat is increased fasting capacity during resource shortages. Here I test optimal body mass theory by searching for both cost and benefits of winter fattening, utilizing interspecific variation in winter fat in natural populations. If increased predation risk is a mass‐dependent cost of fattening, wintering birds occupying dense (closed) winter habitat offering low exposure to predators should show (1) higher fat reserves, and (2) higher wing load, than wintering birds occupying less dense (open) habitat offering less protection from predators. This prediction was tested in the two winters in south‐central Kansas, a north temperate region with winter precipitation falling as snow and low ambient winter temperatures. The predicted patterns in wing load and winter fat reserve were observed: with phylogeny controlled, both were significantly lower in two open cover species (Dark‐eyed Junco Junco hyemalis , American Tree Sparrow Spizella arborea ) than in eight closed cover species (seven sparrow species in the genera Melospiza , Passerella , and Zonotrichia , and the Spotted Towhee Pipilo maculatus ). Body mass increased with wing area at a greater rate in the closed than in the open cover group, indicating lower body‐size specific wing load in the latter group. With phylogeny controlled, fat level varied inversely with resource predictability among three winter foraging guilds occupying a vertical gradient of snowfall probability, indicating both costs and benefits exist in the study system. This study is the first to support the existence of fat cost with a positive fat‐cover relationship in natural populations. These results serve to verify the cost‐benefit approach widely taken by optimal body mass models, to studying the relationship between a surrogate fitness variable and factors affecting it in a variable winter environment.
机译:小型越冬鸟类的最佳体重模型是动物生态学的核心,并提供了在复杂环境中最大限度地提高个人适应性的见识。这样的模型假设脂肪沉积的成本和收益,并考虑它们如何影响冬季生存概率。假设的脂肪增加的质量依赖性成本包括增加机翼负荷并随后降低避免捕食者的能力,以及在喂食增肥动物时增加捕食者的暴露。冬季脂肪的可能好处是在资源短缺期间增加了禁食的能力。在这里,我利用自然人群中冬季脂肪的种间差异,通过搜索冬季育肥的成本和收益来测试最佳体重理论。如果捕食风险的增加取决于育肥的质量成本,则与密度较低的越冬鸟相比,占据密度高(封闭)的冬季栖息地且对掠食者的接触少的越冬鸟应表现出(1)更高的脂肪储备和(2)更高的机翼负荷(开放)栖息地提供较少的保护,免受天敌袭击。这个预测在堪萨斯州中南部的两个冬季进行了检验,这是一个北部温带地区,冬季降水随着降雪而下降,周围的冬季温度较低。观察到了机翼负荷和冬季脂肪储备的预测模式:在系统发育控制下,两个开放覆盖物种(黑眼的Junco Junco hyemalis,美国树麻雀螺旋藻)均显着低于八个封闭覆盖物种(七个麻雀)在Melospiza,Passerella和Zonotrichia属中,以及被发现的Towhee Pipilo maculatus()。封闭时,机翼的质量随着机翼面积的增加而比敞开式机舱的增加,这表明后者的机体比重较小。在系统发育控制下,三个降雪觅食行会中的脂肪水平与资源可预测性成反比,而这些行会在降雪概率上呈垂直梯度,这表明研究系统中既存在成本,也存在收益。这项研究是第一个以自然人群中的脂肪与覆盖率呈正相关关系支持脂肪成本存在的研究。这些结果有助于验证最佳体重模型广泛采用的成本效益方法,以研究替代适应性变量与在可变的冬季环境中影响替代变量的因素之间的关系。

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