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Variation in the sensitivity of organismal body temperature to climate change over local and geographic scales

机译:有机体温度对气候变化的敏感性在地方和地理范围内的变化

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摘要

Global climate change is expected to have broad ecological consequences for species and communities. Attempts to forecast these consequences usually assume that changes in air or water temperature will translate into equivalent changes in a species’ organismal body temperature. This simple change is unlikely because an organism’s body temperature is determined by a complex series of interactions between the organism and its environment. Using a biophysical model, validated with 5 years of field observations, we examined the relationship between environmental temperature change and body temperature of the intertidal mussel Mytilus californianus over 1,600 km of its geographic distribution. We found that at all locations examined simulated changes in air or water temperature always produced less than equivalent changes in the daily maximum mussel body temperature. Moreover, the magnitude of body temperature change was highly variable, both within and among locations. A simulated 1°C increase in air or water temperature raised the maximum monthly average of daily body temperature maxima by 0.07–0.92°C, depending on the geographic location, vertical position, and temperature variable. We combined these sensitivities with predicted climate change for 2100 and calculated increases in monthly average maximum body temperature of 0.97–4.12°C, depending on location and climate change scenario. Thus geographic variation in body temperature sensitivity can modulate species’ experiences of climate change and must be considered when predicting the biological consequences of climate change.
机译:预计全球气候变化将对物种和社区产生广泛的生态影响。尝试预测这些后果的方法通常是假设空气或水温的变化会转化为物种的有机体温度的同等变化。这种简单的变化不太可能,因为生物体的体温是由生物体与其环境之间一系列复杂的相互作用所决定的。使用经过5年现场观察验证的生物物理模型,我们研究了环境温度变化与潮间贻贝Mytilus californianus地理分布超过1600公里的体温之间的关系。我们发现,在所检查的所有位置,空气或水温的模拟变化总是产生的每日贻贝最高体温的等效变化要小于等效变化。而且,体温变化的幅度在位置内部和位置之间是高度可变的。根据地理位置,垂直位置和温度变量,模拟的空气或水温度每升高1°C,每日最高体温的最大每月平均值就会增加0.07-0.92°C。我们将这些敏感性与2100年的预期气候变化相结合,并根据位置和气候变化情景计算得出的每月平均最高体温升高0.97–4.12°C。因此,体温敏感性的地理差异可以调节物种对气候变化的经历,因此在预测气候变化的生物学后果时必须考虑这些变化。

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