Jessie Foest Ian S. Pearse Jalene M. LaMontagne Walter D. Koenig Giorgio Vacchiano Michal Bogdziewicz Thomas Caignard Paulina Celebias Joep Van Dormolen Marcos Fernandez-Martinez Jose V. Moris Ciprian Palaghianu Mario B. Pesendorfer A. Satake Eliane Schermer A. Tanentzap Peter A. Thomas Davide Vecchio Andreas P. Wion T. Wohlgemuth Tingting Xue Katherine Abernethy Marie-Claire Aravena Acuna Marcelo Daniel Barrera Jessica H. Barton Stan Boutin Emma R. Bush Sergio Donoso Calderon Felipe Carevic Carolina Volkmer de Castilho Juan Manuel Cellini Colin A. Chapman Hazel Chapman Francesco Chianucci Patricia da Costa Luc Croise Andrea Cutini Ben Dantzer R. Justin DeRose Jean-Thoussaint Dikangadissi Edmond Dimoto Fernanda Lopes da Fonseca Leonardo Gallo Georg Gratzer David F. Greene Martin A. Hadad Alejandro Huertas Herrera Kathryn J. Jeffery Jill F. Johnstone Urs Kalbitzer Wladyslaw Kantorowicz Christie A. Klimas Jonathan G. A. Lageard Jeffrey Lane Katharina Lapin Mateusz Ledwon Abigail C. Leeper Maria Vanessa Lencinas Ana Claudia Lira-Guedes Michael Lordon Paula Marchelli Shealyn Marino Harald Schmidt Van Marle A. McAdam Ludovic R. W. Momont Manuel Nicolas Lucia Helena de Oliveira Wadt Parisa Panahi Guillermo Martinez Pastur T. Patterson Pablo Luis Peri Lukasz Piechnik Mehdi Pourhashemi Claudia Espinoza Quezada Fidel A. Roig Karen Pena Rojas Yamina Micaela Rosas Silvio Schueler Barbara Seget Rosina Soler Michael A. Steele Monica Toro-Manriquez Caroline E. G. Tutin Tharcisse Ukizintambara Lee White Biplang Yadok John L. Willis Anita Zolles Magdalena Zywiec Davide Ascoli Andrew Hacket-Pain 2022 <p><span>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&nbsp;years respectively, and the data set includes 1122 series that extend over at least two decades (≥20&nbsp;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.</span></p> application/pdf 10.1111/gcb.16130 en Wiley MASTREE+: Time-series of plant reproductive effort from six continents article