MASTREE+: Time-series of plant reproductive effort from six continents
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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.
| Original language | English |
|---|---|
| Journal | Global Change Biology |
| Volume | 28 |
| Issue number | 9 |
| Pages (from-to) | 3066-3082 |
| Number of pages | 17 |
| ISSN | 1354-1013 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
Bibliographical note
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.
- demography, flowering, general flowering, masting, plant reproduction, recruitment, regeneration
Research areas
ID: 339250151