Abstract
Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10 years respectively, and the data set includes 1122 series that extend over at least two decades (≥20 years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Global Change Biology |
| Vol/bind | 28 |
| Udgave nummer | 9 |
| Sider (fra-til) | 3066-3082 |
| Antal sider | 17 |
| ISSN | 1354-1013 |
| DOI | |
| Status | Udgivet - 2022 |
| Udgivet eksternt | Ja |
Bibliografisk note
Publisher Copyright:© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
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I: Global Change Biology, Bind 28, Nr. 9, 2022, s. 3066-3082.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
}
TY - JOUR
T1 - MASTREE+
T2 - Time-series of plant reproductive effort from six continents
AU - Hacket-Pain, Andrew
AU - Foest, Jessie J.
AU - Pearse, Ian S.
AU - LaMontagne, Jalene M.
AU - Koenig, Walter D.
AU - Vacchiano, Giorgio
AU - Bogdziewicz, Michał
AU - Caignard, Thomas
AU - Celebias, Paulina
AU - van Dormolen, Joep
AU - Fernández-Martínez, Marcos
AU - Moris, Jose V.
AU - Palaghianu, Ciprian
AU - Pesendorfer, Mario
AU - Satake, Akiko
AU - Schermer, Eliane
AU - Tanentzap, Andrew J.
AU - Thomas, Peter A.
AU - Vecchio, Davide
AU - Wion, Andreas P.
AU - Wohlgemuth, Thomas
AU - Xue, Tingting
AU - Abernethy, Katharine
AU - Aravena Acuña, Marie Claire
AU - Daniel Barrera, Marcelo
AU - Barton, Jessica H.
AU - Boutin, Stan
AU - Bush, Emma R.
AU - Donoso Calderón, Sergio
AU - Carevic, Felipe S.
AU - de Castilho, Carolina Volkmer
AU - Manuel Cellini, Juan
AU - Chapman, Colin A.
AU - Chapman, Hazel
AU - Chianucci, Francesco
AU - da Costa, Patricia
AU - Croisé, Luc
AU - Cutini, Andrea
AU - Dantzer, Ben
AU - Justin DeRose, R.
AU - Dikangadissi, Jean Thoussaint
AU - Dimoto, Edmond
AU - da Fonseca, Fernanda Lopes
AU - Gallo, Leonardo
AU - Gratzer, Georg
AU - Greene, David F.
AU - Hadad, Martín A.
AU - Herrera, Alejandro Huertas
AU - Jeffery, Kathryn J.
AU - Johnstone, Jill F.
AU - Kalbitzer, Urs
AU - Kantorowicz, Władysław
AU - Klimas, Christie A.
AU - Lageard, Jonathan G.A.
AU - Lane, Jeffrey
AU - Lapin, Katharina
AU - Ledwoń, Mateusz
AU - Leeper, Abigail C.
AU - Vanessa Lencinas, Maria
AU - Lira-Guedes, Ana Cláudia
AU - Lordon, Michael C.
AU - Marchelli, Paula
AU - Marino, Shealyn
AU - Schmidt Van Marle, Harald
AU - McAdam, Andrew G.
AU - Momont, Ludovic R.W.
AU - Nicolas, Manuel
AU - de Oliveira Wadt, Lúcia Helena
AU - Panahi, Parisa
AU - Martínez Pastur, Guillermo
AU - Patterson, Thomas
AU - Luis Peri, Pablo
AU - Piechnik, Łukasz
AU - Pourhashemi, Mehdi
AU - Espinoza Quezada, Claudia
AU - Roig, Fidel A.
AU - Peña Rojas, Karen
AU - Rosas, Yamina Micaela
AU - Schueler, Silvio
AU - Seget, Barbara
AU - Soler, Rosina
AU - Steele, Michael A.
AU - Toro-Manríquez, Mónica
AU - Tutin, Caroline E.G.
AU - Ukizintambara, Tharcisse
AU - White, Lee
AU - Yadok, Biplang
AU - Willis, John L.
AU - Zolles, Anita
AU - Żywiec, Magdalena
AU - Ascoli, Davide
N1 - Funding Information: We thank Mark Green and Esther Dale. This study was funded by the UK Natural Environment Research Council grant no. NE/S007857/1 to AHP, AJT and PAT. JJF was supported a PhD studentship under Natural Environment Research Council grant number NE/S00713X/1. Original data collection was supported by many funders, including the Natural Sciences and Engineering Research Council of Canada (SB, AM, BD, JL) the National Science Foundation (AM, BD), the Austrian Climate Research Program (ACRP) of the ‘Klima- und Energiefonds’ (9th Call, project: MoreSeedsAdapt—KR16AC0K13339), the Brazilian Agricultural Research Corporation (EMBRAPA) through the Kamukaia III Project ‘Appreciation of non-timber forest products in the Amazon’ (grant number SEG 12.13.07.007.00.00), the W. Szafer Institute of Botany of the Polish Academy of Sciences and the Polish National Science Foundation (2019/33/B/NZ8/01345), the French ministry of Agriculture and Food, the French ministry and the French agency for Ecological Transition, the French national forest office, and the European Commission (under successive regulations from No 1091/94 until No 2152/2003). As the French part of the ICP Forests intensive (Level II) monitoring programme, the RENECOFOR network has benefited from its scientific framework and shared expertise. Data from Bonanza Creek LTER come from a partnership between the University of Alaska Fairbanks and the U.S. Forest Service, with funding from the National Science Foundation Long-Term Ecological Research program (NSF Grant numbers DEB-1636476, DEB-1026415, DEB-0620579, DEB-0423442, DEB-0080609, DEB-9810217, DEB-9211769, DEB-8702629) and by the USDA Forest Service, Pacific Northwest Research Station (Agreement # RJVA-PNW-01-JV-11261952-231). The contribution of TX was supported by the National Natural Science Foundation (Grant No. 32001310) and Chuzhou University Start-up Foundation for Research (2021qd05). Data from Italian Central Apennines were available, thanks to the support of the research project ‘Monitoraggio della produzione di seme di specie forestali, rinnovazione naturale e relazioni con la fauna selvatica (Pasciona)’ funded by the Foreste Casentinesi, Monte Falterona e Campigna National Park. The contribution from RJD would not have been possible without the effort of Dr. Theodore W. (‘Doc’) Daniel. Doc Daniel had the long-term vision to commence and oversee the annual cone counts for hundreds of trees from 1947-1981 on the Utah State Agricultural College (now Utah State University) School Forest, later named in his honour as the T.W. Daniel Experimental Forest. The Rothwald data were collected as part of the research project ‘Sporadic seed production in mast seeding trees’, P30381 of the Austrian Science Fund (FWF). We thank Charley Krebs, Rudy Boonstra, Dennis Murray for sharing unpublished data, and we gratefully acknowledge the scientists responsible for the following open-access data sets that were incorporated into MASTREE+: https://doi.org/10.5061/dryad.4qrfj6q9m, https://doi.org/10.5061/dryad.1s625, https://doi.org/10.5061/dryad.v6wwpzgrb, https://doi.org/10.5061/dryad.772g3, https://doi.org/10.5061/dryad.pv608, https://doi.org/10.5061/dryad.stqjq2c0c, https://doi.org/10.5061/dryad.61m318c, https://doi.org/10.5061/dryad.75v7c. We thank the many collaborators, students, friends and family who have helped to support long-term data collection. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The findings and conclusions of this publication are those of the author(s) and should not be construed to represent an official USDA, Forest Service, or United States Government determination or policy. Funding Information: We thank Mark Green and Esther Dale. This study was funded by the UK Natural Environment Research Council grant no. NE/S007857/1 to AHP, AJT and PAT. JJF was supported a PhD studentship under Natural Environment Research Council grant number NE/S00713X/1. Original data collection was supported by many funders, including the Natural Sciences and Engineering Research Council of Canada (SB, AM, BD, JL) the National Science Foundation (AM, BD), the Austrian Climate Research Program (ACRP) of the ‘‐ ’ (9th Call, project: MoreSeedsAdapt—KR16AC0K13339), the Brazilian Agricultural Research Corporation (EMBRAPA) through the Kamukaia III Project ‘Appreciation of non‐timber forest products in the Amazon’ (grant number SEG 12.13.07.007.00.00), the W. Szafer Institute of Botany of the Polish Academy of Sciences and the Polish National Science Foundation (2019/33/B/NZ8/01345), the French ministry of Agriculture and Food, the French ministry and the French agency for Ecological Transition, the French national forest office, and the European Commission (under successive regulations from No 1091/94 until No 2152/2003). As the French part of the ICP Forests intensive (Level II) monitoring programme, the RENECOFOR network has benefited from its scientific framework and shared expertise. Data from Bonanza Creek LTER come from a partnership between the University of Alaska Fairbanks and the U.S. Forest Service, with funding from the National Science Foundation Long‐Term Ecological Research program (NSF Grant numbers DEB‐1636476, DEB‐1026415, DEB‐0620579, DEB‐0423442, DEB‐0080609, DEB‐9810217, DEB‐9211769, DEB‐8702629) and by the USDA Forest Service, Pacific Northwest Research Station (Agreement # RJVA‐PNW‐01‐JV‐11261952‐231). The contribution of TX was supported by the National Natural Science Foundation (Grant No. 32001310) and Chuzhou University Start‐up Foundation for Research (2021qd05). Data from Italian Central Apennines were available, thanks to the support of the research project ‘Monitoraggio della produzione di seme di specie forestali, rinnovazione naturale e relazioni con la fauna selvatica (Pasciona)’ funded by the Foreste Casentinesi, Monte Falterona e Campigna National Park. The contribution from RJD would not have been possible without the effort of Dr. Theodore W. (‘Doc’) Daniel. Doc Daniel had the long‐term vision to commence and oversee the annual cone counts for hundreds of trees from 1947‐1981 on the Utah State Agricultural College (now Utah State University) School Forest, later named in his honour as the T.W. Daniel Experimental Forest. The Rothwald data were collected as part of the research project ‘Sporadic seed production in mast seeding trees’, P30381 of the Austrian Science Fund (FWF). We thank Charley Krebs, Rudy Boonstra, Dennis Murray for sharing unpublished data, and we gratefully acknowledge the scientists responsible for the following open‐access data sets that were incorporated into MASTREE+: https://doi.org/10.5061/dryad.4qrfj6q9m , https://doi.org/10.5061/dryad.1s625 , https://doi.org/10.5061/dryad.v6wwpzgrb , https://doi.org/10.5061/dryad.772g3 , https://doi.org/10.5061/dryad.pv608 , https://doi.org/10.5061/dryad.stqjq2c0c , https://doi.org/10.5061/dryad.61m318c , https://doi.org/10.5061/dryad.75v7c . We thank the many collaborators, students, friends and family who have helped to support long‐term data collection. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. The findings and conclusions of this publication are those of the author(s) and should not be construed to represent an official USDA, Forest Service, or United States Government determination or policy. Klima und Energiefonds Publisher Copyright: © 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
PY - 2022
Y1 - 2022
N2 - Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10 years respectively, and the data set includes 1122 series that extend over at least two decades (≥20 years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics.
AB - Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10 years respectively, and the data set includes 1122 series that extend over at least two decades (≥20 years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics.
KW - demography
KW - flowering
KW - general flowering
KW - masting
KW - plant reproduction
KW - recruitment
KW - regeneration
UR - http://www.scopus.com/inward/record.url?scp=85125593108&partnerID=8YFLogxK
U2 - 10.1111/gcb.16130
DO - 10.1111/gcb.16130
M3 - Journal article
C2 - 35170154
AN - SCOPUS:85125593108
SN - 1354-1013
VL - 28
SP - 3066
EP - 3082
JO - Global Change Biology
JF - Global Change Biology
IS - 9
ER -