Artículo

MASTREE+: Time-series of plant reproductive effort from six continents

Hacket Pain, Andrew ; Foest, Jessie J. ; Pearse, Ian S. ; LaMontagne, Jalene M. ; Koenig, Walter D. ; Vacchiano, Giorgio ; Bogdziewicz, Michał ; Caignard, Thomas ; Celebias, Paulina ; van Dormolen, Joep ; Fernández Martínez, Marcos ; Moris, Jose V. ; Palaghianu, Ciprian ; Pesendorfer, Mario ; Satake, Akiko ; Schermer, Eliane ; Tanentzap, Andrew J. ; Thomas, Peter A. ; Vecchio, Davide ; Wion, Andreas P. ; Aravena Acuña, Marie Claire Alejandra ; Barrera, Marcelo Daniel ; Cellini, Juan Manuel ; Hadad, Martín Ariel Icon; Lencinas, María Vanessa Icon; Peri, Pablo Luis Icon; Marchelli, Paula Icon; Martínez Pastur, Guillermo José Icon; Soler Esteban, Rosina Matilde Icon; Roig Junent, Fidel Alejandro Icon

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Fecha

05/2022

Editorial

Wiley Blackwell Publishing, Inc

Revista

Global Change Biology

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Institución organizadora

ISSN

1354-1013

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Inglés

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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 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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