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MASTREE+: Time-series of plant reproductive effort from six continents
Resumen
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
[ver mas...]
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.
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Autor
Hacket-Pain, Andrew;
Foest, Jessie J.;
Pearse, Ian S.;
LaMontagne, Jalene M.;
Koenig, Walter D.;
Vacchiano, Giorgio;
Bogdziewicz, Michał;
Caignard, Thomas;
Celebias, Paulina;
Peri, Pablo Luis;
Ascoli, Davide;
Gallo, Leonardo Ariel;
Marchelli, Paula;
Fuente
Global Change Biology 28 (9) : 3066-3082 (May 2022)
Fecha
2022-04-01
Editorial
Wiley
ISSN
1365-2486
Formato
pdf
Tipo de documento
artículo
Palabras Claves
Derechos de acceso
Abierto
