Environmental changes, such as climate warming and higher herbivory pressure, are altering the carbon balance of Arctic ecosystems; yet how these drivers modify the carbon balance among different habitats remains uncertain. This dataset is used to investigate how spring goose grubbing and summer warming – two key environmental-change drivers in the Arctic – alter CO2-fluxes in three tundra habitats varying in soil moisture and plant-community composition.

Where: CO2-flux data were gathered from a full-factorial randomized-block experiment simulating spring goose grubbing and summer warming in high-Arctic Svalbard. When: CO2-flux data were gathered at each of three sampling occasions (early, peak, and late summer) in summer 2016 and summer 2017.

Data collection and processing: CO2-fluxes were assessed using a closed-system made of a clear acrylic chamber (25 cm × 25 cm area × 35 cm height), including a fan for air mixing, connected through an air pump (L052C-11, Parker Corp, Cleveland, Ohio, USA; ~1 l min-1 flow rate) to a CO2 infrared gas analyzer (LI-840A, LICOR, Lincoln, Nebraska, USA). We calculated CO2-fluxes for each measurement by fitting linear regression models based on the ideal gas law.

How to use this dataset: All analyses of this dataset were run in the R statistical and computing environment v. 4.3.0 (https://www.r-project.org). To use this dataset, download the most recent version of R and R studio and import the dataset in your workspace. Additional information on how to analyze this data is given in the related publication.

R (https://www.r-project.org), 4.3.0