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The importance of inter‐individual variation in predicting species' responses to global change drivers

机译:个体间变异在预测物种对全球变化驱动力的反应中的重要性

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Inter‐individual variation in phenotypic traits has long been considered as “noise” rather than meaningful phenotypic variation, with biological studies almost exclusively generating and reporting average responses for populations and species’ average responses. Here, we compare the use of an individual approach in the investigation of extracellular acid–base regulation by the purple sea urchin Paracentrotus lividus challenged with elevated p CO 2 and temperature conditions, with a more traditional approach which generates and formally compares mean values. We detected a high level of inter‐individual variation in acid–base regulation parameters both within and between treatments. Comparing individual and mean values for the first (apparent) dissociation constant of the coelomic fluid for individual sea urchins resulted in substantially different (calculated) acid–base parameters, and models with stronger statistical support. While the approach using means showed that coelomic p CO 2 was influenced by seawater p CO 2 and temperature combined, the individual approach indicated that it was in fact seawater temperature in isolation that had a significant effect on coelomic p CO 2 . On the other hand, coelomic [HCO 3 ? ] appeared to be primarily affected by seawater p CO 2 , and less by seawater temperature, irrespective of the approach adopted. As a consequence, we suggest that individual variation in physiological traits needs to be considered, and where appropriate taken into account, in global change biology studies. It could be argued that an approach reliant on mean values is a “procedural error.” It produces an artefact, that is, a population's mean phenotype. While this may allow us to conduct relatively simple statistical analyses, it will not in all cases reflect, or take into account, the degree of (physiological) diversity present in natural populations.
机译:长期以来,表型性状的个体间变异一直被认为是“噪音”,而不是有意义的表型变异,生物学研究几乎专门产生并报告了种群和物种的平均应答。在这里,我们比较了紫色海胆Paracentrotus lividus在升高的p CO 2和温度条件下挑战对细胞外酸碱调节的研究中使用的一种单独方法,以及一种生成并正式比较平均值的传统方法。我们发现在治疗期间和治疗之间,酸碱调节参数在个体间存在高度差异。比较各个海胆体腔流体的第一个(表观)解离常数的个体值和平均值会导致(计算出的)酸碱参数大不相同,并且模型具有更强的统计支持。尽管采用手段的方法表明,海水中的p CO 2受温度pCO 2的影响,并且温度综合起来,但单独的方法表明,事实上,隔离的海水温度对海水中的p CO 2有重要影响。另一方面,Coelomic [HCO 3? ,无论采用哪种方法,似乎主要受海水p CO 2的影响,而受海水温度的影响较小。因此,我们建议在全球变化生物学研究中应考虑并适当考虑生理特征的个体差异。可以说,依赖于平均值的方法是“程序错误”。它会产生伪像,即人口的平均表型。尽管这可以使我们进行相对简单的统计分析,但它并不能在所有情况下都反映或考虑自然种群中存在的(生理)多样性程度。

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