Coral hypoxia response curve analysis

Oxygen (O2) availability is essential for healthy coral reef functioning, yet how continued loss of dissolved O2 via ocean deoxygenation impacts performance of reef building corals remains unclear. Here we examine how intra-colony spatial geometry of important Great Barrier Reef (GBR) coral species Acropora may influence variation in hypoxic thresholds for upregulation, to better understand capacity to tolerate future reductions in O2 availability. We first evaluate application of more streamlined models used to parameterise Hypoxia Response Curve data, models that have been used historically to identify variable oxyregulatory capacity. Using closed-system respirometry to analyse O2 drawdown rate, we show that a 2-parameter model returns similar outputs as previous 12th order models for descriptive statistics such as the average oxyregulation capacity (Tpos) and the ambient O2 level at which the coral exerts maximum regulation effort (Pcmax), for diverse Acropora species. Following an e..., These datasets were collected in February 2022, and all fieldwork and collections were carried out at Opal Reef on the Great Barrier Reef (GBR), Australia. Details for each dataset are provided in the README file.  , , # Data from: Coral hypoxia response curve analysis [https://doi.org/10.5061/dryad.gtht76ht3](https://doi.org/10.5061/dryad.gtht76ht3) ## Description of the data and file structure This raw data and code has been collected and used in a recent study analysing intra-colony spatial variance of oxyregulation and hypoxic thresholds for the key coral species *Acropora* (Dilernia et al. 2024). Including algorithm evaluation and reporting selection criteria for best model choice, in conjunction with depositing data from coral hypoxia response curve analyses, allowing for reprocessing at any time using different polynomial models for comparison to optimise results, as well as *in situ* oxygen (O2) Logger Data. The raw .csv files used to run the below code, containing data for the *p*O2 (ambient levels of O2 (% air saturation) and VO2 (patterns of O2 consumption, i.e., respiration (mg h-1) values for each species and replicate, across multiple experiments (as outlined in the manuscript), have ...氧气（Oxygen, O₂）的可获得性是健康珊瑚礁功能运转的必要条件，然而海洋脱氧作用持续导致溶解氧流失，这一过程会如何影响造礁珊瑚的生理表现，目前仍不明确。本研究聚焦大堡礁（Great Barrier Reef, GBR）重要造礁珊瑚物种鹿角珊瑚属（Acropora）的群体内空间几何结构，探究其对缺氧阈值上调变异的影响，以期更好地理解珊瑚应对未来氧气可获得性降低的耐受能力。 我们首先评估了用于拟合缺氧响应曲线数据的更简洁模型的适用性——这类模型既往被用于识别不同的氧调节能力差异。我们采用封闭系统呼吸代谢法分析氧气消耗速率，结果显示，相较于既往使用的12阶模型，双参数模型在描述性统计指标（如平均氧调节能力Tpos、珊瑚发挥最大调节作用时的环境氧分压Pcmax）上可获得相近的输出结果，适用于多种鹿角珊瑚物种。在完成相关分析后，本数据集采集于2022年2月，所有野外作业与样本采集均在澳大利亚大堡礁的蛋白石礁（Opal Reef）完成。各数据集的详细信息见README文件。 # 数据来源：珊瑚缺氧响应曲线分析 [https://doi.org/10.5061/dryad.gtht76ht3](https://doi.org/10.5061/dryad.gtht76ht3) ## 数据与文件结构说明 本原始数据与代码源自一项近期研究，该研究针对关键造礁物种鹿角珊瑚属（Acropora）的氧调节群体内空间差异与缺氧阈值展开分析（Dilernia等人，2024）。数据集包含算法评估与最优模型选择的报告标准，同时附带珊瑚缺氧响应曲线分析数据，支持研究者后续使用不同多项式模型重新处理数据以优化结果，此外还包含原位（in situ）氧气（O₂）记录仪数据。 用于运行下述代码的原始.csv文件包含了各物种与重复样本的氧分压pO2（环境氧气占空气饱和度百分比）与耗氧速率VO2（氧气消耗模式，即呼吸速率，单位为mg h⁻¹）数据，涵盖多项实验（详见论文），相关内容……