Department of Ecology and Evolutionary Biology, University of California, Irvine, Irvine, CA, USA.
Department of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA.
Glob Chang Biol. 2020 Jun;26(6):3221-3229. doi: 10.1111/gcb.15053. Epub 2020 Mar 30.
The temperature sensitivity of soil processes is of major interest, especially in light of climate change. Originally formulated to explain the temperature dependence of chemical reactions, the Arrhenius equation, and related Q temperature coefficient, has a long history of application to soil biological processes. However, empirical data indicate that Q and Arrhenius model are often poor metrics of temperature sensitivity in soils. In this opinion piece, we aim to (a) review alternative approaches for characterizing temperature sensitivity, focusing on macromolecular rate theory (MMRT); (b) provide strategies and tools for implementing a new temperature sensitivity framework; (c) develop thermal adaptation hypotheses for the MMRT framework; and (d) explore new questions and opportunities stemming from this paradigm shift. Microbial ecologists should consider developing and adopting MMRT as the basis for predicting biological rates as a function of temperature. Improved understanding of temperature sensitivity in soils is particularly pertinent as microbial response to temperature has a large impact on global climate feedbacks.
土壤过程的温度敏感性是一个主要关注点，特别是在气候变化的背景下。阿伦尼乌斯方程最初是为了解释化学反应的温度依赖性而提出的，其相关的 Q10 温度系数在土壤生物过程中有很长的应用历史。然而，经验数据表明，Q10 和阿伦尼乌斯模型通常不能很好地衡量土壤的温度敏感性。在这篇观点文章中，我们旨在：(a) 回顾用于描述温度敏感性的替代方法，重点是大分子速率理论（MMRT）；(b) 提供实施新的温度敏感性框架的策略和工具；(c) 为 MMRT 框架发展热适应假说；以及 (d) 探讨这一范式转变带来的新问题和机遇。微生物生态学家应该考虑将 MMRT 作为预测生物速率随温度变化的基础，并采用它。更好地了解土壤的温度敏感性尤为重要，因为微生物对温度的响应对全球气候反馈有很大的影响。
