Data set for "Overstory dynamics regulate the spatial variability in forest-floor CO2 fluxes across a managed boreal forest landscape"

• Main Authors: Martínez García, Eduardo, Nilsson, Mats B., Laudon, Hjalmar, Lundmark, Tomas, Fransson, Johan E.S., Wallerman, Jörgen, Peichl, Matthias
• Format: Dataset
• Language: English
• Published: 2021
• Subjects: boreal forest; forest-floor CO2 fluxes; net CO2 exchange; gross and net primary production; autotrophic and heterotrophic respiration; Martínez; Northern Sweden
• Online Access: https://zenodo.org/record/5730154; https://doi.org/10.5281/zenodo.5730154

This data set is a compilation of forest stand characteristics, forest-floor environmental conditions, soil properties, ecosystem carbon stocks, and annual forest-floor CO2 fluxes. The data set is composed by 3-year mean annual values obtained from biometric- and chamber-based flux measurements conducted during the period 2016–2018. Negative values of forest-floor CO2 fluxes indicate carbon uptake and positive values indicate carbon release. Data were collected in 50 forest stands within the Krycklan Catchment Study (https://www.slu.se/Krycklan), a multi-scale long-term monitored boreal catchment spanning 68 km2 in northern Sweden. Selected forest stands encompassed different soil types (sediment vs. till), dominant tree species (pine vs. spruce), and age classes (from initiation to old-growth stands). Variables, units, and definitions are found in the 1_metadata_Martínez-García_et_al._forest-floor_CO2_fluxes.xlsx file More details can be found in Martínez-García et al. (2022) Overstory dynamics regulate the spatial variability in forest-floor CO2 fluxes across a managed boreal forest landscape. Agricultural and Forest Meteorology. 318: 108916. https://doi.org/10.1016/j.agrformet.2022.108916 Contact information: Ph.D. Eduardo Martínez García ([e-mail], [e-mail]) Professor Matthias Peichl ([e-mail]) Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Skogsmarksgränd 17, SE-901 83, Umeå, Sweden