Gilman Sarah E, Wethey David S, Helmuth Brian
Department of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA.
Proc Natl Acad Sci U S A. 2006 Jun 20;103(25):9560-5. doi: 10.1073/pnas.0510992103. Epub 2006 Jun 8.
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 degrees C increase in air or water temperature raised the maximum monthly average of daily body temperature maxima by 0.07-0.92 degrees 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 degrees 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.
预计全球气候变化将对物种和群落产生广泛的生态影响。预测这些影响的尝试通常假定空气或水温的变化将转化为物种机体体温的等效变化。但这种简单的变化不太可能发生,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。我们使用一个经过5年实地观测验证的生物物理模型,研究了潮间带贻贝加州贻贝在其1600公里地理分布范围内环境温度变化与体温之间的关系。我们发现,在所有研究地点,模拟的空气或水温变化所导致的贻贝每日最高体温变化总是小于等效变化。此外,体温变化的幅度在不同地点之间以及同一地点内部都高度可变。模拟空气或水温升高1摄氏度,根据地理位置、垂直位置和温度变量的不同,会使每日最高体温的月平均最大值升高0.07 - 0.92摄氏度。我们将这些敏感度与2100年的预测气候变化相结合,计算得出月平均最高体温将升高0.97 - 4.12摄氏度,具体取决于地点和气候变化情景。因此,体温敏感度的地理差异会调节物种对气候变化的体验,在预测气候变化的生物学后果时必须予以考虑。