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 th...

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Bibliographic Details
Other Authors: Commonwealth Environmental Water Office (isOwnedBy)
Format: Dataset
Language:unknown
Published: data.gov.au
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Online Access:https://researchdata.edu.au/flow-mer-metabolism-model-estimates/2206869
http://data.gov.au/dataset/bcbfaf00-ddcc-4e6b-8379-bc13d21b1d2e
Description
Summary: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 Commonwealth Environmental Water Office's (CEWO) 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 CEWO to demonstrate environmental outcomes and adaptively manage the water holdings. For more information and reporting using these data see https://www.dcceew.gov.au/water/cewo/monitoring/mer-program.\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\n* Grace 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\n* Song 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###Acknowledgement\r\n\r\nThe Commonwealth Environmental Water Office and Flow-MER program acknowledge the First Nations peoples as the Traditional Owners ...