Flow-MER Metabolism BASE Model Estimates

Volumetric estimates of organic carbon being created by photosynthesis or consumed by ecosystem respiration. Flow-MER deploys data loggers to record changes in dissolved oxygen, light and temperature over the course of 24 hours with continuous recording every 5 minutes. The data is analysed using the statistical model ‘BASEv2’ (BAyesian Single-station Estimation). The model (Grace et al. 2015) was updated during 2016 in accordance with methodological recommendations contained within Song et al. (2016). Flow-MER converts these BASE volumetric estimates (this data set) into reach-scale estimates with the appropriate hydraulic information (cross-sectional area) to estimate the amount of organic carbon being created by photosynthesis or consumed by ecosystem respiration in a nominal 1 kilometre (km) stream reach at the gauging site.\r\n\r\nThe CEWH’s Flow-MER program examines the contribution of Commonwealth environmental water to the environmental objectives of the Basin Plan 2012 (Basin Plan) and is assisting the CEWH to demonstrate environmental outcomes and adaptively manage the water holdings. Monitoring and evaluation is focused in seven Selected Areas: the Junction of the Warrego and Darling rivers, Gwydir river system, Lachlan river system, Murrumbidgee river system, Edward/Kolety-Wakool river system, Goulburn River and Lower Murray River. \r\n\r\nThis Flow-MER data set includes and extends the long-term data collected at the same sites during the Long Term Intervention Monitoring (LTIM) project (2014-2019).\r\n\r\nGrace MR, Giling DP, Hladyz S, Caron V, Thompson RM, Mac Nally R (2015) Fast processing of diel oxygen curves: estimating stream metabolism with BASE (BAyesian Single-station Estimation). Limnology & Oceanography: Methods, 13, 103-114\r\n\r\nSong C, Dodds WK, Trentman MT, Rüegg J, Ballantyne F (2016) Methods of approximation influence aquatic ecosystem metabolism estimates. Limnology and Oceanography: Methods 14(9), 557–569.\r\n\r\n\r\n###Acknowledgement\r\n\r\nThe Commonwealth Environmental Water Holder and Flow-MER program acknowledge the First Nations peoples as the Traditional Owners and Custodians of the lands, waterways and skies of the Murray-Darling Basin. We respect their continuing connection to culture and Country, and we thank them for their knowledge and science and the values reflected in these data.\r\n\r\n###Citation\r\n\r\nCEWH (2024) Metabolism BASE Model. Flow-MER Program. Commonwealth Environmental Water Office, Australian Government Department of Climate Change, Energy, the Environment and Water. Sourced on from https://data.gov.au/data/dataset/flow-mer-metabolism-base-model on [date-sourced].

光合固碳或经生态系统呼吸消耗的有机碳体积估算值。Flow-MER部署数据记录仪，以每5分钟一次的连续采样频率，记录24小时内溶解氧、光照与温度的变化。所获数据采用统计模型"BASEv2"（BAyesian Single-station Estimation）进行分析。该模型（Grace等，2015）于2016年依据Song等（2016）提出的方法学建议完成更新。Flow-MER结合河道横断面面积等相关水文水力参数，将本数据集的BASE体积估算值转换为河段尺度估算值，以量化监测断面处标称长度为1公里（km）的河道河段内，光合固碳或经生态系统呼吸消耗的有机碳总量。

澳大利亚联邦环境水持有机构（Commonwealth Environmental Water Holder, CEWH）的Flow-MER项目旨在评估联邦环境水对《2012年墨累-达令流域规划》（Basin Plan）环境目标的贡献，并协助CEWH论证环境治理成效，对所持水资源开展适应性管理。该项目的监测与评估聚焦七大选定区域：沃雷戈河与达令河汇流处、吉德河水系、拉克兰河水系、默伦比奇河水系、爱德华/科莱蒂-瓦库尔河水系、古尔本河以及下默里河。

本Flow-MER数据集收录并拓展了2014-2019年长期干预监测（Long Term Intervention Monitoring, LTIM）项目在相同监测点位采集的长期监测数据。

Grace MR, Giling DP, Hladyz S, Caron V, Thompson RM, Mac Nally R（2015）：昼夜氧曲线快速处理：基于BASE（BAyesian Single-station Estimation）估算河道代谢速率. 《湖沼学与海洋学方法》，13卷，103-114页

Song C, Dodds WK, Trentman MT, Rüegg J, Ballantyne F（2016）：近似方法对水生生态系统代谢速率估算的影响. 《湖沼学与海洋学方法》，14卷第9期，557-569页

###致谢

联邦环境水持有机构与Flow-MER项目谨此承认，原住民族群是墨累-达令盆地土地、水道与空域的传统所有者与守护者。我们尊重其与文化及故土的持续联结，并感谢其为本次数据集所蕴含的知识、科学理念与价值贡献。

###引用格式

CEWH（2024）：《代谢BASE模型》. Flow-MER项目. 联邦环境水办公室，澳大利亚政府气候变革、能源、环境与水利部. 数据来源：https://data.gov.au/data/dataset/flow-mer-metabolism-base-model，获取日期：[date-sourced]