TY - JOUR
T1 - Fast processing of diel oxygen curves: Estimating stream metabolism with BASE (BAyesian Single-station Estimation)
T2 - Estimating stream metabolism with BASE (BAyesian Single-station Estimation)
AU - Grace, Michael
AU - Giling, Darren
AU - Hladyz, Sally
AU - Caron, Valerie
AU - THOMPSON, Ross
AU - MAC NALLY, Ralph
N1 - Funding Information:
This work was supported by the Australian Research Council Linkage Program (LP0990038), with the generous financial and logistic support of the Goulburn-Broken Catchment Management Authority (CMA), North Central CMA, Victorian Department of Sustainability and Environment, Victorian EPA Victoria and Kilter Pty Ltd. Mac Nally acknowledges support from the Australian Research Council (DP120100797). Giling was supported by a grant from the Holsworth Wildlife Research Endowment and a Monash University Postgraduate Publication Award. Thompson acknowledges the support of the Australian Research Council via FT110100957. The authors thank Samantha Imberger, Pat Calhoun, Betsy Shafer, Cliff Dahm, Roger Young, Katrina Lansdown, Jennifer Tank, Emma Rosi-Marshall, Bob Hall and Michelle Baker for all kindly providing diel data for model validation. The authors thank Joseph Benjamin, Samantha Imberger and Heather Bechtold for constructive feedback on the user manual. Helpful suggestions from two anonymous reviewers are also gratefully acknowledged.
Publisher Copyright:
© The Authors.
PY - 2015/3
Y1 - 2015/3
N2 - The measurement of stream metabolism (gross primary production and respiration) has become more feasible with the availability of more reliable dissolved oxygen (DO) probes. Such metabolic measurements offer important opportunities in fundamental and applied research, especially in relating stream metabolic responses to human and other pressures. The accurate determination of the reaeration coefficient is one challenge for making reliable ecological inferences from DO measurements made over many diel periods (i.e., months or years). We outline three methods for calculating atmospheric reaeration but concentrate on the use of statistical estimation to simultaneously estimate reaeration and metabolic rates using Bayesian model fitting. While there are existing programs (ModelMaker and Bayesian Metabolic Model [BaMM]), these are either slow or unable to be used easily for fitting multiple days of metabolic data (one to many months). Our implementation, BAyesian Single-station Estimation (BASE), uses freely available software (R and OpenBUGS), includes a batch mode that can fit data for many days, and provides visual and statistical measures of “goodness-of-fit.” We compare the results of the BASE, ModelMaker, and BaMM programs.
AB - The measurement of stream metabolism (gross primary production and respiration) has become more feasible with the availability of more reliable dissolved oxygen (DO) probes. Such metabolic measurements offer important opportunities in fundamental and applied research, especially in relating stream metabolic responses to human and other pressures. The accurate determination of the reaeration coefficient is one challenge for making reliable ecological inferences from DO measurements made over many diel periods (i.e., months or years). We outline three methods for calculating atmospheric reaeration but concentrate on the use of statistical estimation to simultaneously estimate reaeration and metabolic rates using Bayesian model fitting. While there are existing programs (ModelMaker and Bayesian Metabolic Model [BaMM]), these are either slow or unable to be used easily for fitting multiple days of metabolic data (one to many months). Our implementation, BAyesian Single-station Estimation (BASE), uses freely available software (R and OpenBUGS), includes a batch mode that can fit data for many days, and provides visual and statistical measures of “goodness-of-fit.” We compare the results of the BASE, ModelMaker, and BaMM programs.
UR - http://www.scopus.com/inward/record.url?scp=85012010890&partnerID=8YFLogxK
U2 - 10.1002/LOM3.10011
DO - 10.1002/LOM3.10011
M3 - Article
SN - 1541-5856
VL - 13
SP - 103
EP - 114
JO - Limnology and Oceanography: Methods
JF - Limnology and Oceanography: Methods
IS - 3
ER -