Temperature variability and metabolic adaptation in terrestrial and aquatic ectotherms

Thermodynamics is a major factor determining rates of biochemical processes, rates of energy expenditure, and ultimately resilience to global warming in ectothermic organisms. Nonetheless, whether ectothermic organisms exhibit general adaptive metabolic responses to cope with different thermal conditions has remained a highly contentious subject over the past several decades. Here we combine a model comparison approach with a global dataset of standard metabolic rates (SMR), which include 1,160 measurements across 788 species of aquatic invertebrates, insects, fishes, amphibians, and reptiles, to investigate the association between metabolic rates and environmental temperatures in their respective habitats. Using Akaike’s information criterion (AICc) to compare different candidate models, our analyses suggest that variation in SMR after removing allometric and thermodynamic effects is best explained by the total temperature range encountered across seasons, which always provid..., , , # Data from: Temperature variability and metabolic adaptation in terrestrial and aquatic ectotherms [https://doi.org/10.5061/dryad.jm63xsjf2](https://doi.org/10.5061/dryad.jm63xsjf2) ## Description of the data and file structure Data and R scripts (R 4.2.1 GUI for MAC) to replicate analyses in Carter MJ, PA Cortes, & EL Rezende (2023) Temperature variability and metabolic adaptation in terrestrial and aquatic ectotherms. Journal of Thermal Biology 115 (2023) 103565 Details: The raw datasets with metabolic measurements and experimental conditions in Amphibians, Aquatic Invertebrates, Fish, Insects and Reptiles was merged with multiple grid files with climate data to obtain Dataset_ALL.txt (step-by-step procedure to obtain this file and run analyses is available in Analyses.R). ### Files: * Dataset ALL.txt – Merged dataset to replicate analyses * Dataset Amphibians.txt – Raw dataset * Dataset Aquatic Invertebrates.txt – Raw dataset * Dataset Fish.txt – Raw dataset * Dataset Insects...,热力学是决定变温动物（ectothermic organisms）生化反应速率、能量消耗速率，乃至抵御全球变暖恢复力的核心影响因素。然而在过去数十年间，变温动物是否会通过普遍的适应性代谢响应来应对不同热环境，始终是极具争议的学术议题。本研究将模型比较方法与全球标准代谢率（standard metabolic rates, SMR）数据集相结合，该数据集涵盖水生无脊椎动物、昆虫、鱼类、两栖类与爬行类共788个物种的1160条测量记录，旨在探究代谢速率与其栖息环境温度之间的关联。本研究借助赤池信息准则（Akaike’s information criterion, AICc）对比多款候选模型，分析结果表明，在剥离异速生长与热力学效应后，标准代谢率的变异可由物种全年经历的总温度区间得到最佳解释，该结论始终[原文截断]。 # 数据来源：《陆地与水生变温动物的温度变异性与代谢适应》 https://doi.org/10.5061/dryad.jm63xsjf2 ## 数据与文件结构说明 本数据集与R脚本（适用于Mac的R 4.2.1 GUI版本）可用于复现Carter MJ、PA Cortes与EL Rezende于2023年发表于《热生物学杂志（Journal of Thermal Biology）》第115卷（2023年）的论文《Temperature variability and metabolic adaptation in terrestrial and aquatic ectotherms》（文章编号：103565）中的分析流程。 ### 细节说明 本研究将包含两栖类、水生无脊椎动物、鱼类、昆虫与爬行类的代谢测量数据及实验条件的原始数据集，与多份包含气候数据的格点文件进行合并，最终得到Dataset_ALL.txt文件（获取该文件并运行分析的分步流程详见Analyses.R脚本）。 ### 文件列表 * Dataset_ALL.txt – 用于复现分析的合并数据集 * Dataset_Amphibians.txt – 两栖类原始数据集 * Dataset_Aquatic Invertebrates.txt – 水生无脊椎动物原始数据集 * Dataset_Fish.txt – 鱼类原始数据集 * Dataset_Insects... – 昆虫类原始数据集（原文截断）