Data set for "Landscape-variability of the carbon balance across managed boreal forests"
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This data set is a compilation of biometric- and chamber-based annual CO<sub>2</sub> flux estimates obtained during the period 2016–2018. Data were collected in 50 main forest stands within the Krycklan Catchment Study (KCS, https://www.slu.se/Krycklan), a multi-scale long-term monitored boreal catchment spanning 68 km<sup>2</sup> in northern Sweden. Seven additional old forest stands were also included with the aim to reconcile our CO<sub>2</sub> flux estimates for the old age class. Selected forest stands encompassed different landscape attributes: 1) soil type (i.e., sediment and till), 2) dominant tree species (i.e., pine and spruce), and 3) stand age class (i.e., initiation, young, middle-aged, mature, and old stands). Annual CO<sub>2</sub> fluxes included are the following: net ecosystem production (NEP), net primary production (NPP), net primary production of trees (NPP<sub>t</sub>), net primary production of understory (NPP<sub>u</sub>) as well as total heterotrophic respiration (RH) and its soil and dead wood components (RH<sub>s</sub> and RH<sub>dw</sub>, respectively). All component CO<sub>2</sub> fluxes are presented as positive terms, whereas positive and negative NEP refers to net C sink and source, respectively. It also includes a set of potential abiotic and biotic drivers controlling NEP and its component fluxes at the landscape-scale. This data set is composed of three Microsoft Excel worksheets: readme, metadata, and data. More details can be found in Peichl et al. (2022) Landscape-variability of the carbon balance across managed boreal forests. Global Change Biology, 00, 1–14. https://doi.org/10.1111/gcb.16534. Contact information: Professor Matthias Peichl (Matthias.Peichl@slu.se) Ph.D. Eduardo Martínez García (Eduardo.Martinez@slu.se, edu.martinez.garcia@gmail.com) Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Skogsmarksgränd 17, SE-901 83, Umeå, Sweden



