Design of the tundra rainfall experiment (TRainEx) to simulate future summer precipitation scenarios
The majority of climate models predict severe increases in future temperature and precipitation in the Arctic. Increases in temperature and precipitation can lead to an intensification of the hydrologic cycle that strongly impacts Arctic environmental conditions. In order to investigate effects of f...
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ftdoajarticles:oai:doaj.org/article:3fb0dea4a5924c49a126af8e92d19dcd 2023-05-15T14:46:36+02:00 Design of the tundra rainfall experiment (TRainEx) to simulate future summer precipitation scenarios Raleigh Grysko Elena Plekhanova Jacqueline Oehri Sergey V. Karsanaev Trofim C. Maximov Gabriela Schaepman-Strub 2021-01-01T00:00:00Z https://doi.org/10.1016/j.mex.2021.101331 https://doaj.org/article/3fb0dea4a5924c49a126af8e92d19dcd EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S2215016121001242 https://doaj.org/toc/2215-0161 2215-0161 doi:10.1016/j.mex.2021.101331 https://doaj.org/article/3fb0dea4a5924c49a126af8e92d19dcd MethodsX, Vol 8, Iss , Pp 101331- (2021) Tundra rainfall experiment (TRainEx) Science Q article 2021 ftdoajarticles https://doi.org/10.1016/j.mex.2021.101331 2022-12-31T12:41:36Z The majority of climate models predict severe increases in future temperature and precipitation in the Arctic. Increases in temperature and precipitation can lead to an intensification of the hydrologic cycle that strongly impacts Arctic environmental conditions. In order to investigate effects of future precipitation scenarios on ecosystems, precipitation manipulation experiments are being performed to simulate drought and extreme precipitation conditions. However, most of the existing research so far has been unevenly distributed, primarily focusing on temperate grasslands and woodlands. Despite large changes in the predicted precipitation and potentially high sensitivity of the Arctic tundra ecosystem to these changes, it is among the most understudied ecosystems for precipitation manipulation experiments.Gherardi and Sala (2013) presented a design for precipitation manipulation experiments that, relative to other methods at the time, was cheap, simplistic, and easily reproducible. In this study, we: • Present modifications to the original Gherardi and Sala (2013) design that are adapted to cold, harsh conditions, such as those present in the Siberian Arctic tundra. • Provide a detailed documentation of the improved design. • Validate our modified experimental design based on the first two years of our experiment. Article in Journal/Newspaper Arctic Tundra Directory of Open Access Journals: DOAJ Articles Arctic MethodsX 8 101331 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Tundra rainfall experiment (TRainEx) Science Q |
spellingShingle |
Tundra rainfall experiment (TRainEx) Science Q Raleigh Grysko Elena Plekhanova Jacqueline Oehri Sergey V. Karsanaev Trofim C. Maximov Gabriela Schaepman-Strub Design of the tundra rainfall experiment (TRainEx) to simulate future summer precipitation scenarios |
topic_facet |
Tundra rainfall experiment (TRainEx) Science Q |
description |
The majority of climate models predict severe increases in future temperature and precipitation in the Arctic. Increases in temperature and precipitation can lead to an intensification of the hydrologic cycle that strongly impacts Arctic environmental conditions. In order to investigate effects of future precipitation scenarios on ecosystems, precipitation manipulation experiments are being performed to simulate drought and extreme precipitation conditions. However, most of the existing research so far has been unevenly distributed, primarily focusing on temperate grasslands and woodlands. Despite large changes in the predicted precipitation and potentially high sensitivity of the Arctic tundra ecosystem to these changes, it is among the most understudied ecosystems for precipitation manipulation experiments.Gherardi and Sala (2013) presented a design for precipitation manipulation experiments that, relative to other methods at the time, was cheap, simplistic, and easily reproducible. In this study, we: • Present modifications to the original Gherardi and Sala (2013) design that are adapted to cold, harsh conditions, such as those present in the Siberian Arctic tundra. • Provide a detailed documentation of the improved design. • Validate our modified experimental design based on the first two years of our experiment. |
format |
Article in Journal/Newspaper |
author |
Raleigh Grysko Elena Plekhanova Jacqueline Oehri Sergey V. Karsanaev Trofim C. Maximov Gabriela Schaepman-Strub |
author_facet |
Raleigh Grysko Elena Plekhanova Jacqueline Oehri Sergey V. Karsanaev Trofim C. Maximov Gabriela Schaepman-Strub |
author_sort |
Raleigh Grysko |
title |
Design of the tundra rainfall experiment (TRainEx) to simulate future summer precipitation scenarios |
title_short |
Design of the tundra rainfall experiment (TRainEx) to simulate future summer precipitation scenarios |
title_full |
Design of the tundra rainfall experiment (TRainEx) to simulate future summer precipitation scenarios |
title_fullStr |
Design of the tundra rainfall experiment (TRainEx) to simulate future summer precipitation scenarios |
title_full_unstemmed |
Design of the tundra rainfall experiment (TRainEx) to simulate future summer precipitation scenarios |
title_sort |
design of the tundra rainfall experiment (trainex) to simulate future summer precipitation scenarios |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doi.org/10.1016/j.mex.2021.101331 https://doaj.org/article/3fb0dea4a5924c49a126af8e92d19dcd |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_source |
MethodsX, Vol 8, Iss , Pp 101331- (2021) |
op_relation |
http://www.sciencedirect.com/science/article/pii/S2215016121001242 https://doaj.org/toc/2215-0161 2215-0161 doi:10.1016/j.mex.2021.101331 https://doaj.org/article/3fb0dea4a5924c49a126af8e92d19dcd |
op_doi |
https://doi.org/10.1016/j.mex.2021.101331 |
container_title |
MethodsX |
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8 |
container_start_page |
101331 |
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1766317796119019520 |