{
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"additionalType": "Journal Article",
"name": "LakeMetabolizer: An R package for estimating lake metabolism from free-water oxygen using diverse statistical models",
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"value": "70194448",
"url": "https://pubs.usgs.gov/publication/70194448"
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"value": 70194448
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"value": "10.1080/IW-6.4.883",
"url": "https://doi.org/10.1080/IW-6.4.883"
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],
"journal": {
"@type": "Periodical",
"name": "Inland Waters",
"volumeNumber": "6",
"issueNumber": "4"
},
"inLanguage": "en",
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"name": "Inland Waters"
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"datePublished": "2016",
"dateModified": "2018-01-24",
"abstract": "Metabolism is a fundamental process in ecosystems that crosses multiple scales of organization from individual organisms to whole ecosystems. To improve sharing and reuse of published metabolism models, we developed LakeMetabolizer, an R package for estimating lake metabolism from\u00a0in situ\u00a0time series of dissolved oxygen, water temperature, and, optionally, additional environmental variables. LakeMetabolizer implements 5 different metabolism models with diverse statistical underpinnings: bookkeeping, ordinary least squares, maximum likelihood, Kalman filter, and Bayesian. Each of these 5 metabolism models can be combined with 1 of 7 models for computing the coefficient of gas exchange across the air\u2013water interface (k). LakeMetabolizer also features a variety of supporting functions that compute conversions and implement calculations commonly applied to raw data prior to estimating metabolism (e.g., oxygen saturation and optical conversion models). These tools have been organized into an R package that contains example data, example use-cases, and function documentation. The release package version is available on the Comprehensive R Archive Network (CRAN), and the full open-source GPL-licensed code is freely available for examination and extension online. With this unified, open-source, and freely available package, we hope to improve access and facilitate the application of metabolism in studies and management of lentic ecosystems.",
"description": "15 p.",
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"name": "Taylor & Francis"
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"author": [
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"@type": "Person",
"name": "Hanson, Paul C.",
"givenName": "Paul C.",
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"affiliation": [
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"name": "Center for Limnology, University of Wisconsin Madison"
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"name": "Read, Jordan S. jread@usgs.gov",
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"value": "0000-0002-3888-6631",
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"name": "Wisconsin Water Science Center",
"url": "https://www.usgs.gov/centers/upper-midwest-water-science-center"
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"name": "Center for Integrated Data Analytics",
"url": "https://www.usgs.gov/programs/science-analytics-and-synthesis-sas"
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"name": "Office of Water Information",
"url": "https://www.usgs.gov/mission-areas/water-resources"
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"name": "Winslow, Luke lwinslow@usgs.gov",
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"name": "Zwart, Jacob A.",
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"name": "University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA"
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"name": "Batt, Ryan D.",
"givenName": "Ryan D.",
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"name": "Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, New Jersey, USA 08901"
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"name": "Dugan, Hilary",
"givenName": "Hilary",
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"givenName": "R. Iestyn",
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"name": "Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK."
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