10.18710/HJN3LV Petit Bon, Matteo Matteo Petit Bon https://orcid.org/0000-0001-9829-8324 The University Centre in Svalbard Bråthen, Kari Anne Kari Anne Bråthen https://orcid.org/0000-0003-0942-1074 UiT The Arctic University of Norway Jónsdóttir, Ingibjörg Svala Ingibjörg Svala Jónsdóttir https://orcid.org/0000-0003-3804-7077 DataverseNO 2024 Earth and Environmental Sciences CO2-fluxes Ecosystem respiration (ER) Gross ecosystem productivity (GEP) Herbivore disturbance International Tundra Experiment (ITEX) Net ecosystem exchange (NEE) Normalized-difference vegetation index (NDVI) Pink-footed geese (Anser brachyrhynchus) Plant communities Svalbard Warming UiT The Arctic University of Norway UiT The Arctic University of Norway Petit Bon, Matteo Matteo Petit Bon The University Centre in Svalbard Bråthen, Kari Anne Kari Anne Bråthen UiT The Arctic University of Norway Beard, Karen H. Karen H. Beard Lee, Hanna Hanna Lee 2024-09-25 2024-09-25 2024-10-04 2016-06-21/2016-06-30 2016-07-21/2016-07-29 2016-08-10/2016-08-18 2017-06-29/2017-07-05 2017-07-21/2017-07-28 2017-08-15/2017-08-22 2016-06-21/2017-08-22 Field experimental data 10.18710/HJN3LV/F2NC8Z 10.18710/HJN3LV/W48DAN 128580 7813 text/plain text/plain 1.0 Creative Commons CC0 1.0 Universal Public Domain Dedication. 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 Svalbard and Jan Mayen 15.99985 16.12060 78.16452 78.17588 The Governor of Svalbard Environmental Protection Fund, grant 15/128 The Research Council of Norway Arctic Field Grant 269957