Anderson-Teixeira Kristina J, Vitousek Peter M, Brown James H
University of New Mexico, Albuquerque, NM 87131, USA.
Proc Natl Acad Sci U S A. 2008 Jan 8;105(1):228-33. doi: 10.1073/pnas.0710214104. Epub 2007 Dec 21.
Through its effect on individual metabolism, temperature drives biologically controlled fluxes and transformations of energy and materials in ecological systems. Because primary succession involves feedbacks among multiple biological and abiotic processes, we expected it to exhibit complex dynamics and unusual temperature dependence. We present a model based on first principles of chemical kinetics to explain how biologically mediated temperature dependence of "reactant" concentrations can inflate the effective temperature dependence of such processes. We then apply this model to test the hypothesis that the temperature dependence of early primary succession is amplified due to more rapid accumulation of reactants at higher temperatures. Using previously published data from the lava flows of Mauna Loa, HI, we show that rates of vegetation and soil accumulation as well as rates of community compositional change all display amplified temperature dependence (Q(10) values of approximately 7-50, compared with typical Q(10) values of 1.5-3 for the constituent biological processes). Additionally, in young ecosystems, resource concentrations increase with temperature, resulting in inflated temperature responses of biogeochemical fluxes. Mauna Loa's developing ecosystems exemplify how temperature-driven, biologically mediated gradients in resource availability can alter the effective temperature dependence of ecological processes. This mechanistic theory should contribute to understanding the complex effects of temperature on the structure and dynamics of ecological systems in a world where regional and global temperatures are changing rapidly.
温度通过对个体新陈代谢的影响,驱动着生态系统中生物控制的能量和物质通量及转化。由于原生演替涉及多个生物和非生物过程之间的反馈,我们预计它会呈现出复杂的动态变化和异常的温度依赖性。我们提出了一个基于化学动力学基本原理的模型,以解释“反应物”浓度的生物介导温度依赖性如何夸大此类过程的有效温度依赖性。然后,我们应用该模型来检验一个假设,即由于在较高温度下反应物积累更快,早期原生演替的温度依赖性会被放大。利用先前发表的来自夏威夷莫纳罗亚火山熔岩流的数据,我们表明植被和土壤积累速率以及群落组成变化速率都显示出放大的温度依赖性(Q10值约为7 - 50,而组成生物过程的典型Q10值为1.5 - 3)。此外,在年轻生态系统中,资源浓度随温度升高,导致生物地球化学通量的温度响应增强。莫纳罗亚火山不断发展的生态系统例证了温度驱动的、生物介导的资源可利用性梯度如何改变生态过程的有效温度依赖性。这一机制理论应有助于理解在区域和全球温度迅速变化的世界中,温度对生态系统结构和动态的复杂影响。