Abstract
Motivation: 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.
Original language | English (US) |
---|---|
Pages (from-to) | 1402-1411 |
Number of pages | 10 |
Journal | Global Ecology and Biogeography |
Volume | 27 |
Issue number | 12 |
DOIs | |
State | Published - Dec 2018 |
Keywords
- Arctic
- alpine
- plant functional traits
- tundra
ASJC Scopus subject areas
- Global and Planetary Change
- Ecology, Evolution, Behavior and Systematics
- Ecology
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In: Global Ecology and Biogeography, Vol. 27, No. 12, 12.2018, p. 1402-1411.
Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Tundra Trait Team
T2 - A database of plant traits spanning the tundra biome
AU - Bjorkman, Anne D.
AU - Myers-Smith, Isla H.
AU - Elmendorf, Sarah C.
AU - Normand, Signe
AU - Thomas, Haydn J.D.
AU - Alatalo, Juha M.
AU - Alexander, Heather
AU - Anadon-Rosell, Alba
AU - Angers-Blondin, Sandra
AU - Bai, Yang
AU - Baruah, Gaurav
AU - te Beest, Mariska
AU - Berner, Logan
AU - Björk, Robert G.
AU - Blok, Daan
AU - Bruelheide, Helge
AU - Buchwal, Agata
AU - Buras, Allan
AU - Carbognani, Michele
AU - Christie, Katherine
AU - Collier, Laura S.
AU - Cooper, Elisabeth J.
AU - Cornelissen, J. Hans C.
AU - Dickinson, Katharine J.M.
AU - Dullinger, Stefan
AU - Elberling, Bo
AU - Eskelinen, Anu
AU - Forbes, Bruce C.
AU - Frei, Esther R.
AU - Iturrate-Garcia, Maitane
AU - Good, Megan K.
AU - Grau, Oriol
AU - Green, Peter
AU - Greve, Michelle
AU - Grogan, Paul
AU - Haider, Sylvia
AU - Hájek, Tomáš
AU - Hallinger, Martin
AU - Happonen, Konsta
AU - Harper, Karen A.
AU - Heijmans, Monique M.P.D.
AU - Henry, Gregory H.R.
AU - Hermanutz, Luise
AU - Hewitt, Rebecca E.
AU - Hollister, Robert D.
AU - Hudson, James
AU - Hülber, Karl
AU - Iversen, Colleen M.
AU - Jaroszynska, Francesca
AU - Jiménez-Alfaro, Borja
AU - Johnstone, Jill
AU - Jorgensen, Rasmus Halfdan
AU - Kaarlejärvi, Elina
AU - Klady, Rebecca
AU - Klimešová, Jitka
AU - Korsten, Annika
AU - Kuleza, Sara
AU - Kulonen, Aino
AU - Lamarque, Laurent J.
AU - Lantz, Trevor
AU - Lavalle, Amanda
AU - Lembrechts, Jonas J.
AU - Lévesque, Esther
AU - Little, Chelsea J.
AU - Luoto, Miska
AU - Macek, Petr
AU - Mack, Michelle C.
AU - Mathakutha, Rabia
AU - Michelsen, Anders
AU - Milbau, Ann
AU - Molau, Ulf
AU - Morgan, John W.
AU - Mörsdorf, Martin Alfons
AU - Nabe-Nielsen, Jacob
AU - Nielsen, Sigrid Schøler
AU - Ninot, Josep M.
AU - Oberbauer, Steven F.
AU - Olofsson, Johan
AU - Onipchenko, Vladimir G.
AU - Petraglia, Alessandro
AU - Pickering, Catherine
AU - Prevéy, Janet S.
AU - Rixen, Christian
AU - Rumpf, Sabine B.
AU - Schaepman-Strub, Gabriela
AU - Semenchuk, Philipp
AU - Shetti, Rohan
AU - Soudzilovskaia, Nadejda A.
AU - Spasojevic, Marko J.
AU - Speed, James David Mervyn
AU - Street, Lorna E.
AU - Suding, Katharine
AU - Tape, Ken D.
AU - Tomaselli, Marcello
AU - Trant, Andrew
AU - Treier, Urs A.
AU - Tremblay, Jean Pierre
AU - Tremblay, Maxime
AU - Venn, Susanna
AU - Virkkala, Anna Maria
AU - Vowles, Tage
AU - Weijers, Stef
AU - Wilmking, Martin
AU - Wipf, Sonja
AU - Zamin, Tara
N1 - Funding Information: 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 Funding Information: Grant/Award Number: 2015‐00465 and 2015‐ 00498; Russian Science Foundation, Grant/ Award Number: 14‐50‐00029; Swiss National Science Foundation, Grant/Award Number: 155554; Carlsberg Foundation, Grant/Award Number: 2013‐01‐ 0825; Research Council of Norway, Grant/ Award Number: 262064; Academy of Finland, Grant/Award Number: 253385 and 297191; U.S. National Science Foundation, Grant/ Award Number: 1504312; U.S. Fish and Wildlife Service; U.S. Department of Energy; Natural Sciences and Engineering Research Council of Canada; ArcticNet; Aarhus University; University of Zurich; Research Foundation Flanders; Marie Skłodowska Curie Actions co‐funding, Grant/Award Number: INCA 600398; EU‐F7P INTERACT, Grant/ Award Number: 262693; MOBILITY PLUS, Grant/Award Number: 1072/MOB/2013/0; Spanish OAPN, Grant/Award Number: 534S/2012; Czech Science Foundation, Grant/ Award Number: 17‐20839S and MSMT LM2015078; South African National Research Fund SANAP, Grant/Award Number: 110734; Danish National Research Foundation, Grant/ Award Number: CENPERM DNRF100; Carl Tryggers stiftelse fD?r vetenskaplig forskning Funding Information: 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 sup‐ ported 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 sup‐ ported 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 fD?r vetenskaplig fors‐kn ing. 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 acknowl‐ edge the contributions of Steven Mamet, Mélanie Jean, Kirsten Allen, Nathan Young, Jenny Lowe, and many others to trait data Funding Information: Natural Environment Research Council, Grant/Award Number: NE/M016323/1 and NE/L002558/1; Danish Council for Independent Research, Grant/Award Number: DFF 4181‐00565; Villum Foundation, Grant/Award Number: VKR023456; Swedish Research Council, Funding Information: 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 Sk?odowska 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 f?r 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 participants 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, M?lanie 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
PY - 2018/12
Y1 - 2018/12
N2 - Motivation: 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.
AB - Motivation: 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.
KW - Arctic
KW - alpine
KW - plant functional traits
KW - tundra
UR - http://www.scopus.com/inward/record.url?scp=85054328144&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054328144&partnerID=8YFLogxK
U2 - 10.1111/geb.12821
DO - 10.1111/geb.12821
M3 - Article
AN - SCOPUS:85054328144
SN - 1466-822X
VL - 27
SP - 1402
EP - 1411
JO - Global Ecology and Biogeography
JF - Global Ecology and Biogeography
IS - 12
ER -