<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Replication Data for: Goose grubbing and warming suppress summer net ecosystem CO2 uptake differentially across high-Arctic tundra habitats</dcterms:title><dcterms:identifier>https://doi.org/10.18710/HJN3LV</dcterms:identifier><dcterms:creator>Petit Bon, Matteo</dcterms:creator><dcterms:creator>Bråthen, Kari Anne</dcterms:creator><dcterms:creator>Jónsdóttir, Ingibjörg Svala</dcterms:creator><dcterms:publisher>DataverseNO</dcterms:publisher><dcterms:issued>2024-10-04</dcterms:issued><dcterms:modified>2024-10-04T12:04:39Z</dcterms:modified><dcterms:description>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.</dcterms:description><dcterms:description>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.</dcterms:description><dcterms:description>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.</dcterms:description><dcterms:description>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.</dcterms:description><dcterms:subject>Earth and Environmental Sciences</dcterms:subject><dcterms:subject>CO2-fluxes</dcterms:subject><dcterms:subject>Ecosystem respiration (ER)</dcterms:subject><dcterms:subject>Gross ecosystem productivity (GEP)</dcterms:subject><dcterms:subject>Herbivore disturbance</dcterms:subject><dcterms:subject>International Tundra Experiment (ITEX)</dcterms:subject><dcterms:subject>Net ecosystem exchange (NEE)</dcterms:subject><dcterms:subject>Normalized-difference vegetation index (NDVI)</dcterms:subject><dcterms:subject>Pink-footed geese (Anser brachyrhynchus)</dcterms:subject><dcterms:subject>Plant communities</dcterms:subject><dcterms:subject>Svalbard</dcterms:subject><dcterms:subject>Warming</dcterms:subject><dcterms:language>English</dcterms:language><dcterms:isReferencedBy>Submitted for review</dcterms:isReferencedBy><dcterms:date>2024-10-04</dcterms:date><dcterms:contributor>Petit Bon, Matteo</dcterms:contributor><dcterms:contributor>Beard, Karen H.</dcterms:contributor><dcterms:contributor>Lee, Hanna</dcterms:contributor><dcterms:dateSubmitted>2024-09-25</dcterms:dateSubmitted><dcterms:temporal>2016-06-21</dcterms:temporal><dcterms:temporal>2017-08-22</dcterms:temporal><dcterms:temporal>2016-06-21</dcterms:temporal><dcterms:temporal>2016-06-30</dcterms:temporal><dcterms:temporal>2016-07-21</dcterms:temporal><dcterms:temporal>2016-07-29</dcterms:temporal><dcterms:temporal>2016-08-10</dcterms:temporal><dcterms:temporal>2016-08-18</dcterms:temporal><dcterms:temporal>2017-06-29</dcterms:temporal><dcterms:temporal>2017-07-05</dcterms:temporal><dcterms:temporal>2017-07-21</dcterms:temporal><dcterms:temporal>2017-07-28</dcterms:temporal><dcterms:temporal>2017-08-15</dcterms:temporal><dcterms:temporal>2017-08-22</dcterms:temporal><dcterms:type>Field experimental data</dcterms:type><dcterms:spatial>Svalbard and Jan Mayen</dcterms:spatial><dcterms:license>CC0 1.0</dcterms:license></metadata>