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MASTREE+: Time-series of plant reproductive effort from six continents.
- Source :
-
Global change biology [Glob Chang Biol] 2022 May; Vol. 28 (9), pp. 3066-3082. Date of Electronic Publication: 2022 Mar 05. - Publication Year :
- 2022
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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.<br /> (© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)
- Subjects :
- Ecology
Plants
Seeds physiology
Ecosystem
Reproduction
Subjects
Details
- Language :
- English
- ISSN :
- 1365-2486
- Volume :
- 28
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Global change biology
- Publication Type :
- Academic Journal
- Accession number :
- 35170154
- Full Text :
- https://doi.org/10.1111/gcb.16130