Tundra Trait Team: A database of plant traits spanning the tundra biome
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
Authors
The Tundra Trait Team (TTT) database includes field-based measurements of key traits related to plant form and function at multiple sites across the tundra biome. This dataset can be used to address theoretical questions about plant strategy and trade-offs, trait–environment relationships and environmental filtering, and trait variation across spatial scales, to validate satellite data, and to inform Earth system model parameters.
Main types of variable contained:
The database contains 91,970 measurements of 18 plant traits. The most frequently measured traits (> 1,000 observations each) include plant height, leaf area, specific leaf area, leaf fresh and dry mass, leaf dry matter content, leaf nitrogen, carbon and phosphorus content, leaf C:N and N:P, seed mass, and stem specific density.
Spatial location and grain:
Measurements were collected in tundra habitats in both the Northern and Southern Hemispheres, including Arctic sites in Alaska, Canada, Greenland, Fennoscandia and Siberia, alpine sites in the European Alps, Colorado Rockies, Caucasus, Ural Mountains, Pyrenees, Australian Alps, and Central Otago Mountains (New Zealand), and sub-Antarctic Marion Island. More than 99% of observations are georeferenced.
Time period and grain:
All data were collected between 1964 and 2018. A small number of sites have repeated trait measurements at two or more time periods.
Major taxa and level of measurement:
Trait measurements were made on 978 terrestrial vascular plant species growing in tundra habitats. Most observations are on individuals (86%), while the remainder represent plot or site means or maximums per species.
Software format:
csv file and GitHub repository with data cleaning scripts in R; contribution to TRY plant trait database (www.try-db.org) to be included in the next version release.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | Global Ecology and Biogeography |
| Jahrgang | 27 |
| Ausgabenummer | 12 |
| Seiten (von - bis) | 1402-1411 |
| Anzahl der Seiten | 10 |
| ISSN | 1466-822X |
| DOIs | |
| Publikationsstatus | Erschienen - 22.10.2018 |
| Extern publiziert | Ja |
Bibliographische Notiz
This paper is an outcome of the sTundra working group supported by sDiv, the Synthesis Centre of the German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig (DFG FZT 118).
ADB was supported by an iDiv postdoctoral fellowship and The Danish Council for Independent Research ‐ Natural Sciences (DFF 4181‐00565 to SN). ADB, IHM‐S, HJDT and SAB were funded by the UK Natural Environment Research Council (ShrubTundra Project NE/M016323/1 to IHM‐S) and SN by the Villum Foundation’s Young Investigator Programme (VKR023456). HJDT was also funded by a NERC doctoral training partnership grant (NE/L002558/1). DB was supported by The Swedish Research Council (2015‐00465) and Marie Skłodowska Curie Actions co‐funding (INCA 600398). RDH was supported by the U.S. National Science Foundation. JSP
was supported by the U.S. Fish and Wildlife Service. AB was supported by EU‐F7P INTERACT (262693) and MOBILITY PLUS (1072/ MOB/2013/0). CMI was supported by the Office of Biological and Environmental Research in the U.S. Department of Energy’s Office of Science as part of the Next‐Generation Ecosystem Experiments in the Arctic (NGEE Arctic) project. JJ, PG, GHRH, KAH, LSC and TZ were supported by the Natural Sciences and Engineering Research Council of Canada. GHRH, LSC and LH were supported by ArcticNet. GHRH, and LSC were also supported by the Northern
Scientific Training Program. GHRH was additionally supported by the Polar Continental Shelf Program. JN‐N was supported by the Arctic Research Centre, Aarhus University. AAR, OG and JMN were supported by the Spanish OAPN (project 534S/2012) and European INTERACT project (262693 Transnational Access). GS‐S and MI‐G
were supported by the University of Zurich Research Priority Program on Global Change and Biodiversity. VGO was supported by the Russian Science Foundation (#14‐50‐00029). ERF was supported by the Swiss National Science Foundation (#155554). SSN was supported by the Carlsberg Foundation (2013‐01‐0825), The
Danish Council for Independent Research ‐ Natural Sciences (DFF 4181‐00565) and the Villum Foundation (VKR023456). JDMS was supported by the Research Council of Norway (262064). JMA was supported by the Carl Tryggers stiftelse för vetenskaplig forskning. AE was supported by the Academy of Finland (projects 253385
and 297191). PM and TH were supported by the Czech Science Foundation 17‐20839S and MSMT LM2015078. MG and RM were supported by the South African National Research Fund SANAP Grant 110734. REH and MCM were supported by the National
Science Foundation (award #1504312). JJL received funding from the Research Foundation Flanders (FWO) through a personal grant. EK was supported by Swedish Research Council (2015‐00498). BE and A Michelsen were supported by the Danish National Research Foundation (CENPERM DNRF100). HB, SH and BJA thank all partici‐
pants in the 2016 and 2018 field ecology course of the Geobotany group at Martin Luther University Halle‐Wittenberg. We acknowledge the contributions of Steven Mamet, Mélanie Jean, Kirsten Allen, Nathan Young, Jenny Lowe, and many others to trait data collection, and thank the governments, parks, field stations, and local and indigenous people for the opportunity to conduct research
on their land.
Publisher Copyright:
© 2018 The Authors Global Ecology and Biogeography Published by John Wiley & Sons Ltd
- Biologie - alpine, Arctic, plant functional traits, tundra