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Johnson, Mark; MacLennan, Erik; Kals, Morten; Morillas, Laura — 2020-02-24 This dataset contains data collected through the UBC Farm Long-Term Water Monitoring Program, which started in July 2019. <br><br> The project will develop a water innovations node for UBC’s Campus as a Living Laboratory initiative to conduct water monitoring and evaluate water use reduction strategies to minimize the water footprint of agriculture at UBC Farm and support UBC’s Water Action Plan. The project will increase the capacity of UBC Farm as a leading living laboratory for research, teaching and learning on water sustainability with academic, public sector and industrial partners. The project will implement new, smart, integrated water and climate monitoring technology at UBC Farm. This will enable living-lab based research to develop water conserving strategies and conduct innovative research across the food-energy-water nexus. The project will also inform best practices on water management and irrigation for urban agriculture and climate change, which can be scaled across campus to reduce UBC’s water footprint, and serve as a focal node for research related to water use in the regional agrifood system.

D'Acunha, Brenda; Johnson, Mark — 2019-02-13 The study contains data on: i) CO2, CH4 and N2O concentrations and fluxes, and the parameters that were used for computation of GHG fluxes, and ii) DOC and NO3 concentrations from a stormwater detained in a constructed wetland. These data were collected in order to evaluate the spatial and temporal dynamics of GHG fluxes and water quality from stormwater runoff.

Johnson, Mark — 2021-11-01 This dataset corresponds to data collected in the Northern Pantanal Wetland site, registered on AmeriFlux as BR-Npw <https://ameriflux.lbl.gov/sites/siteinfo/BR-Npw>. The primary data archive is via AmeriFlux. Here, methane (CH4) flux data were gap-filled using different methods: the random forest method described in Kim et al., 2019, doi: 10.1111/gcb.14845; and the marginal distribution sampling (MDS) algorithm described in Dalmagro et al., 2019, doi: 10.1111/gcb.14615. The dataset archived here is identical to that archived on AmeriFlux except that the file here contains both the Kim and the Dalmagro gap-filling approaches. The AmeriFlux dataset contains methane flux data gap-filled using random forest only.

Orlova, Julia; Amiri, Fariba; Bourgeois, Alyssa; Buttle, Jim; Cherlet, Erin; Cuss, Chad; Devito, Kevin; Emelko, Monica; Floyd, William; Foster, David; Hutchins, Ryan; Jamieson, Rob; Johnson, Mark; McSorley, Hannah; Silins, Uldis; Tank, Suzanne; Thompson, Lauren; Webster, Kara; Williams, Chris; Olefeldt, David — 2023-03-08 This dataset contains water chemistry (major ions, inorganic nutrients) and dissolved organic matter (DOM) composition data for 52 streams sampled in 2019-2021 at several research sites across Canada. DOM composition was analyzed using UV-vis absorbance and fluorescence, Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS), and asymmetric flow field-flow fractionation (AF4).

McDowell, Mollie; Johnson, Mark — 2019-10-04 This dataset contains direct in-situ measurements and modeled values of stream properties and air temperature of a steep, turbulent headwater stream in southwestern British Columbia, Canada, between November 2016 and June 2017. The dataset is associated with a study of CO₂ evasion from experimental stream G-H in the University of British Columbia Malcolm Knapp Research Forest, which estimated gas transfer velocities of CO₂ (<i>k</i>_CO2) and CO₂ evasion using an automated in situ CO₂ tracer technique. <br> <br> <i>McDowellJohnson2018_continuousdata.tab</i> contains continuous half-hourly stream data for the duration of the study period. <br> <br> <i>McDowellJohnson2018_injectiondata.tab</i> contains averaged values of stream data associated with 38 one-hour injections of CO₂. <br> <br> <b>Continuous data variables:</b> date-time, CO₂ concentration, pH, water temperature, electrical conductivity, air temperature, stream discharge, stream depth, water velocity, modeled gas transfer velocity of CO₂, modeled gas transfer velocity of CO₂ normalized to a Schmidt number of 600, dissolved oxygen concentration <br> <br> <b>Injection data variables:</b> date-time, stream depth, gas transfer velocity of CO₂, gas transfer velocity of CO₂ normalized to a Schmidt number of 600, stream discharge, water temperature, water velocity <br> <br> This work was conducted on the unceded, ancestral territories of the xʷməθkʷəy̓əm (Musqueam) and Katzie peoples.

Johnson, Mark; MacLennan, Erik; Kals, Morten; Morillas, Laura — 2020-02-24 This dataset contains data collected through the UBC Farm Long-Term Water Monitoring Program, which started in July 2019. <br><br> The project will develop a water innovations node for UBC’s Campus as a Living Laboratory initiative to conduct water monitoring and evaluate water use reduction strategies to minimize the water footprint of agriculture at UBC Farm and support UBC’s Water Action Plan. The project will increase the capacity of UBC Farm as a leading living laboratory for research, teaching and learning on water sustainability with academic, public sector and industrial partners. The project will implement new, smart, integrated water and climate monitoring technology at UBC Farm. This will enable living-lab based research to develop water conserving strategies and conduct innovative research across the food-energy-water nexus. The project will also inform best practices on water management and irrigation for urban agriculture and climate change, which can be scaled across campus to reduce UBC’s water footprint, and serve as a focal node for research related to water use in the regional agrifood system.

D'Acunha Brenda; Morillas, Laura; Black, T. Andrew; Christen, Andreas; Johnson, Mark — 2019-02-28 Dataset contains measurements taken in Burns Bog, a wetland in the process of restoration (49º 7.761’N, 122º 59.095’W), from 15 June 2016 - 14 June 2017. File contains data on i) CO2 and CH4 fluxes measured by eddy covariance (EC), as well as meteorological measurements, ii) CO2 and CH4 concentrations and fluxes obtained by headspace equilibration iii) dissolved organic carbon (DOC) concentration and fluxes.