Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
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 ArielIcon ; Lencinas, María VanessaIcon ; Peri, Pablo LuisIcon ; Marchelli, PaulaIcon ; Martínez Pastur, Guillermo JoséIcon ; Soler Esteban, Rosina MatildeIcon ; Roig Junent, Fidel AlejandroIcon
Fecha de publicación: 05/2022
Editorial: Wiley Blackwell Publishing, Inc
Revista: Global Change Biology
ISSN: 1354-1013
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ecología

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.
Palabras clave: DEMOGRAPHY , FLOWERING , GENERAL FLOWERING , MASTING , PLANT REPRODUCTION , RECRUITMENT , REGENERATION
Ver el registro completo
 
Archivos asociados
Thumbnail
 
Tamaño: 4.652Mb
Formato: PDF
.
Descargar
Licencia
info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution 2.5 Unported (CC BY 2.5)
Identificadores
URI: http://hdl.handle.net/11336/205808
URL: https://onlinelibrary.wiley.com/doi/10.1111/gcb.16130
DOI: http://dx.doi.org/10.1111/gcb.16130
Colecciones
Articulos (IFAB)
Articulos de INSTITUTO DE INVESTIGACIONES FORESTALES Y AGROPECUARIAS BARILOCHE
Articulos(CADIC)
Articulos de CENTRO AUSTRAL DE INVESTIGACIONES CIENTIFICAS
Articulos(CIGEOBIO)
Articulos de CENTRO DE INVESTIGACIONES DE LA GEOSFERA Y BIOSFERA
Articulos(IANIGLA)
Articulos de INST. ARG. DE NIVOLOGIA, GLACIOLOGIA Y CS. AMBIENT
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Citación
Hacket Pain, Andrew; Foest, Jessie J.; Pearse, Ian S.; LaMontagne, Jalene M.; Koenig, Walter D.; et al.; MASTREE+: Time-series of plant reproductive effort from six continents; Wiley Blackwell Publishing, Inc; Global Change Biology; 28; 9; 5-2022; 3066-3082
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES