Persistent Identifier
|
doi:10.18710/QHTCPC |
Publication Date
|
2021-04-12 |
Title
| Replication Data for: Increased snow and cold season temperatures alter High Arctic parasitic fungi - host plant interactions. |
Author
| Moriana-Armendariz, Mikel (UiT The Arctic University of Norway) - ORCID: 0000-0001-8251-1338
Cooper, Elisabeth J. (UiT The Arctic University of Norway) - ORCID: 0000-0002-0634-1282
Abbandonato, Holly (Mount Allison University) - ORCID: 0000-0003-4334-9707
Yamaguchi, Takahiro (Graduate School of Life and Environmental Sciences)
Mörsdorf, Martin A. (University of Freiburg) - ORCID: 0000-0002-3903-2021
Aares, Karoline H. (UiT The Arctic University of Norway)
Semenchuk, Philipp R. (University of Vienna) - ORCID: 0000-0002-1949-6427
Tojo, Motoaki (Graduate School of Life and Environmental Sciences) - ORCID: 0000-0001-9660-4359 |
Point of Contact
|
Use email button above to contact.
Mikel Moriana-Armendariz (UiT The Arctic University of Norway)
Cooper, Elisabeth J. (UiT The Arctic University of Norway) |
Description
| Dataset for Moriana-Armendariz et al. 2021- Increased snow and cold season temperatures alter High Arctic parasitic fungi - host plant interactions. In the Arctic, fungal mycelial growth takes place mainly during the cold-season and beginning of growing season. Climate change induced increases of cold-season temperatures may, hence, benefit fungal growth and increase their abundance. This is of special importance for parasitic fungi, which may significantly shape Arctic vegetation composition. Here, we studied two contrasting plant parasitic fungi’s occurrences (biotrophic Exobasidium hypogenum on vascular plant Cassiope tetragona, and necrotrophic Pythium polare on moss Sanionia uncinata) in response to increased snow depth, a method primarily used to increase cold-season temperatures, after 7-13 years of snow manipulation in Adventdalen, Svalbard. We show that enhanced snow depth increased occurrences of both fungi tested here, and indicate that increased fungal infections of host plants were at least partly responsible for decreases of host occurrences. While bryophyte growth in general may be influenced by increased soil moisture and reduced competition from vascular plants, Pythium is likely enhanced by the combination of milder winter temperatures and moister environment provided by the snow. The relationships between host plants and fungal infection indicate ongoing processes involved in the dynamics of compositional adjustment to changing climate. (2021-04-06) |
Subject
| Earth and Environmental Sciences |
Keyword
| Cassiope tetragona
Exobasidium hypogenum
Pythium polare
Sanionia uncinata
winter
snowfence
Svalbard
SnoEco |
Related Publication
| Moriana-Armendariz et al. 2021- Increased snow and cold season temperatures alter High Arctic parasitic fungi - host plant interactions. Accepted for publication |
Language
| English |
Producer
| UiT The Arctic University of Norway (UiT) https://en.uit.no/ |
Production Date
| 2021-04-05 |
Production Location
| Tromsø |
Contributor
| Data Manager : Moriana Armendariz, Mikel
Data Collector : Abbandonato, Holly
Data Collector : Yamaguchi, Takahiro
Data Collector : Mörsdorf, Martin A.
Data Collector : Aares, Karoline H.
Data Collector : Semenchuk, Philipp R.
Data Collector : Tojo, Motoaki
Project Leader : Cooper, Elisabeth J.
Data Collector : Maruo, Fumino
Data Collector : Kusama, Yuko
Data Collector : Pilsbacher, Anna Katharina
Data Collector : Bender, kathrin
Data Collector : Vuorinen, Katariina
Data Collector : Paquin, Karolina
Data Collector : Kemmotsu, Masashi |
Funding Information
| Norwegian Research Council: 230970
Fram Terrestrial Flagship: 362270
Norwegian Centre for International Cooperation in Education: HNP2013/10092
Japan Society for the Promotion of Science: 19K12421 |
Distributor
| UiT The Arctic University of Norway (UiT The Arctic University of Norway) https://dataverse.no/dataverse/uit |
Depositor
| Moriana Armendariz, Mikel |
Deposit Date
| 2021-06-04 |
Date of Collection
| Start Date: 2013-06-01 ; End Date: 2019-09-15 |
Data Type
| Experimental data |
Software
| R, Version: 3.6.1 |