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首页> 外文期刊>The Royal Society Proceedings B: Biological Sciences >Phenotypic plasticity in the scaling of avian basal metabolic rate.
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Phenotypic plasticity in the scaling of avian basal metabolic rate.

机译:表型可塑性在禽基础代谢率的尺度上。

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Many birds exhibit short-term, reversible adjustments in basal metabolic rate (BMR), but the overall contribution of phenotypic plasticity to avian metabolic diversity remains unclear. The available BMR data include estimates from birds living in natural environments and captive-raised birds in more homogenous, artificial environments. All previous analyses of interspecific variation in BMR have pooled these data. We hypothesized that phenotypic plasticity is an important contributor to interspecific variation in avian BMR, and that captive-raised populations exhibit general differences in BMR compared to wild-caught populations. We tested this hypothesis by fitting general linear models to BMR data for 231 bird species, using the generalized least-squares approach to correct for phylogenetic relatedness when necessary. The scaling exponent relating BMR to body mass in captive-raised birds (0.670) was significantly shallower than in wild-caught birds (0.744). The differences in metabolic scaling between captive-raised and wild-caught birds persisted when migratory tendency and habitat aridity were controlled for. Our results reveal that phenotypic plasticity is a major contributor to avian interspecific metabolic variation. The finding that metabolic scaling in birds is partly determined by environmental factors provides further support for models that predict variation in scaling exponents, such as the allometric cascade model.
机译:许多鸟类的基础代谢率(BMR)表现出短期可逆的调节,但表型可塑性对禽类代谢多样性的总体贡献仍不清楚。可用的BMR数据包括对生活在自然环境中的鸟类和人工饲养的鸟类的估计。 BMR种间变异的所有先前分析都汇集了这些数据。我们假设表型可塑性是造成禽BMR种间变异的重要因素,并且圈养的种群与野生种群相比BMR具有普遍差异。我们通过对231种鸟类的BMR数据拟合通用线性模型,并在必要时使用广义最小二乘法校正系统发育相关性,对这一假设进行了检验。圈养的家禽中BMR与体重相关的标度指数(0.670)比野外捕获的家禽(0.744)浅得多。当控制迁徙趋势和栖息地干旱时,圈养和野外捕获的鸟类之间的代谢比例差异仍然存在。我们的结果表明,表型可塑性是禽种间新陈代谢变异的主要因素。鸟类代谢比例的确定部分由环境因素决定的发现为预测比例指数变化的模型(例如异速瀑布模型)提供了进一步的支持。

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