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 dataset 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 5,971 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 dataset includes 1,122 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 dataset, 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.

MASTREE+: Time-series of plant reproductive effort from six continents / A. Hacket-Pain, J.J. Foest, I.S. Pearse, J.M. Lamontagne, W.D. Koenig, G. Vacchiano, M. Bogdziewicz, T. Caignard, P. Celebias, J. van Dormolen, M. Fern('(a))ndez-Mart('(i))nez, J.V. Moris, C. Palaghianu, M. Pesendorfer, A. Satake, E. Schermer, A.J. Tanentzap, P.A. Thomas, D. Vecchio, A. Wion, T. Wohlgemuth, T. Xue, K. Abernethy, M. Daniel Barrera, J.H. Barton, S. Boutin, E.R. Bush, S. Donoso Calder('(o))n, F.S. Carevic, C. Volkmer de Castilho, J. Manuel Cellini, C.A. Chapman, H. Chapman, F. Chianucci, P. da Costa, L. Crois('(e)), A. Cutini, B. Dantzer, R. Justin DeRose, J. Thoussaint Dikangadissi, E. Dimoto, F. Lopes da Fonseca, L. Gallo, G. Gratzer, D.F. Greene, M.A. Hadad, A. Huertas Herrera, K.J. Jeffery, J.F. Johnstone, U. Kalbitzer, W. Kantorowicz, C.A. Klimas, J.G.A. Lageard, J. Lane, K. Lapin, M. Ledwon, A.C. Leeper, M. Vanessa Lencinas, A. Cl('(a))udia Lira-Guedes, M.C. Lordon, P. Marchelli, S. Marino, H. Schmidt Van Marle, A.G. Mcadam, L.R.W. Momont, M. Nicolas, L. Helena de Oliveira Wadt, P. Panahi, G. Mart('(i))nez Pastur, T. Patterson, P. Luis Peri (L)ukasz Piechnik, M. Pourhashemi, C. Espinoza Quezada, F.A. Roig, K. Pe(~(n))a Rojas, Y. Micaela Rosas, S. Schueler, B. Seget, R. Soler, M.A. Steele, M. Toro-Manr('(i))quez, C.E.G. Tutin, T. Ukizintambara, L. White, B. Yadok, J.L. Willis, A. Zolles, M.(. (Z))ywiec, D. Ascoli. - In: GLOBAL CHANGE BIOLOGY. - ISSN 1354-1013. - 28:9(2022), pp. 3066-3082. [10.1111/gcb.16130]

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

G. Vacchiano;
2022

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 dataset 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 5,971 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 dataset includes 1,122 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 dataset, 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.
demography; flowering; general flowering; masting; plant reproduction; recruitment; regeneration
Settore AGR/05 - Assestamento Forestale e Selvicoltura
2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/912930
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