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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Published in:MethodsX
Main Authors: Raleigh Grysko, Elena Plekhanova, Jacqueline Oehri, Sergey V. Karsanaev, Trofim C. Maximov, Gabriela Schaepman-Strub
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2021
Subjects:
Q
Online Access:https://doi.org/10.1016/j.mex.2021.101331
https://doaj.org/article/3fb0dea4a5924c49a126af8e92d19dcd
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spelling 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
container_volume 8
container_start_page 101331
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