Memorias de investigación
Artículos en revistas:
El Niño influence on potential maize yield in Iberian Peninsula
Año:2015
Áreas de investigación
  • Meteorología,
  • Agricultura,
  • Ingenierías
Datos
Descripción
El Niño phenomenon is the leading mode of sea surface temperature interannual variability. It can affect weather patterns worldwide and therefore crop production. Crop models are useful tools for impact and predictability applications, allowing to obtain long time series of potential and attainable crop yield, unlike to available time series of observed crop yield for many countries. Using this tool, crop yield variability in a location of Iberia Peninsula (IP) has been previously studied, finding predictability from Pacific El Niño conditions. Nevertheless, the work has not been done for an extended area. The present work carries out an analysis of maize yield variability in IP for the whole twenty century, using a calibrated crop model at five contrasting Spanish locations and reanalyses climate datasets to obtain long time series of potential yield. The study tests the use of reanalysis data for obtaining only climate dependent time series of crop yield for the whole region, and to use these yield to analyze the influences of oceanic and atmospheric patterns. The results show a good reliability of reanalysis data. The spatial distribution of the leading principal component of yield variability shows a similar behaviour over all the studied locations in the IP. The strong linear correlation between El Niño index and yield is remarkable, being this relation non-stationary on time, although the air temperature-yield relationship remains on time, being the highest influences during grain filling period. Regarding atmospheric patterns, the summer Scandinavian pattern has significant influence on yield in IP. The potential usefulness of this study is to apply the relationships found to improving crop forecasting in IP.
Internacional
Si
JCR del ISI
Si
Título de la revista
International Journal of Climatology
ISSN
0899-8418
Factor de impacto JCR
3,398
Información de impacto
Datos JCR del año 2013
Volumen
DOI
10.1002/joc.4426
Número de revista
Desde la página
1
Hasta la página
17
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Mirian Irene Capa Morocho UPM
  • Autor: Belen Rodriguez-Fonseca Universidad Complutense de Madrid
  • Autor: Margarita Ruiz Ramos UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Agrarios (AgSystems)
  • Centro o Instituto I+D+i: Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios Medioambientales (CEIGRAM). Centro Mixto UPM-AGROMUTUA-ENESA
  • Departamento: Producción Agraria