Sea surface temperature impacts on winter cropping systems in the Iberian Peninsula
Climate variability is the main driver of changes in crop growth, development and yield, especially for rainfed production systems. In Iberian Peninsula (IP), wheat yields are strongly dependent on the rainfall amount and its temporal distribution during the growing season. The major source of preci...
Published in: | Agricultural and Forest Meteorology |
---|---|
Main Authors: | , , |
Other Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Elsevier
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10261/184231 https://doi.org/10.1016/j.agrformet.2016.06.007 https://doi.org/10.13039/501100003329 |
id |
ftcsic:oai:digital.csic.es:10261/184231 |
---|---|
record_format |
openpolar |
spelling |
ftcsic:oai:digital.csic.es:10261/184231 2024-02-11T10:06:23+01:00 Sea surface temperature impacts on winter cropping systems in the Iberian Peninsula Capa-Morocho, Mirian Rodríguez-Fonseca, Belén Ruiz Ramos, Margarita Campus de Excelencia Internacional Moncloa Ministerio de Economía y Competitividad (España) 2016-10-15 http://hdl.handle.net/10261/184231 https://doi.org/10.1016/j.agrformet.2016.06.007 https://doi.org/10.13039/501100003329 en eng Elsevier https://doi.org/10.1016/j.agrformet.2016.06.007 Sí Agricultural and Forest Meteorology 226-227: 213-228 (2016) 0168-1923 http://hdl.handle.net/10261/184231 doi:10.1016/j.agrformet.2016.06.007 http://dx.doi.org/10.13039/501100003329 none El Niño Tropical North Atlantic Sea surface temperature Rainfed wheat Crop model Crop yield predictability artículo http://purl.org/coar/resource_type/c_6501 2016 ftcsic https://doi.org/10.1016/j.agrformet.2016.06.00710.13039/501100003329 2024-01-16T10:40:26Z Climate variability is the main driver of changes in crop growth, development and yield, especially for rainfed production systems. In Iberian Peninsula (IP), wheat yields are strongly dependent on the rainfall amount and its temporal distribution during the growing season. The major source of precipitation interannual variability in IP is the North Atlantic Oscillation (NAO), which has been partially related with changes in the Tropical Pacific (El Niño) and Atlantic (TNA) sea surface temperature (SST). Therefore, existence of some predictability of precipitation opens the possibility to reach some predictability of wheat yield in the IP using SSTs anomalies as predictor. For this purpose, a crop model, site specific calibrated and validated for the NE of IP, and several reanalysis climate datasets have been used to obtain long time series of attainable wheat yield and to relate their variability with SST anomalies. The results show that the TNA and El Niño influence rainfed wheat development and yield in IP and these impacts depend on the concurrent state of the NAO. Although crop-SST relationships do not equally hold during the whole analyzed period, they can be explained by an understood and stationary ecophysiological mechanism. During the second half of the twenty century, the positive (negative) TNA index is associated to a negative (positive) phase of the NAO, which exerts a positive (negative) influence on the minimum temperature and precipitation during winter and, thus, wheat yield increases (decreases) in IP. In relation to El Niño, the highest correlation takes place in the period 1981–2001. For these decades, high (low) yields are associated with an El Niño to La Niña (La Niña to El Niño) transitions or to El Niño (La Niña) events finishing. For these events, the regional associated atmospheric pattern resembles the NAO, which also influences directly on the maximum temperatures and precipitation experienced by the crop in spring, during flowering and grain filling. The combined effects of the two ... Article in Journal/Newspaper North Atlantic North Atlantic oscillation Digital.CSIC (Spanish National Research Council) Pacific Agricultural and Forest Meteorology 226-227 213 228 |
institution |
Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
language |
English |
topic |
El Niño Tropical North Atlantic Sea surface temperature Rainfed wheat Crop model Crop yield predictability |
spellingShingle |
El Niño Tropical North Atlantic Sea surface temperature Rainfed wheat Crop model Crop yield predictability Capa-Morocho, Mirian Rodríguez-Fonseca, Belén Ruiz Ramos, Margarita Sea surface temperature impacts on winter cropping systems in the Iberian Peninsula |
topic_facet |
El Niño Tropical North Atlantic Sea surface temperature Rainfed wheat Crop model Crop yield predictability |
description |
Climate variability is the main driver of changes in crop growth, development and yield, especially for rainfed production systems. In Iberian Peninsula (IP), wheat yields are strongly dependent on the rainfall amount and its temporal distribution during the growing season. The major source of precipitation interannual variability in IP is the North Atlantic Oscillation (NAO), which has been partially related with changes in the Tropical Pacific (El Niño) and Atlantic (TNA) sea surface temperature (SST). Therefore, existence of some predictability of precipitation opens the possibility to reach some predictability of wheat yield in the IP using SSTs anomalies as predictor. For this purpose, a crop model, site specific calibrated and validated for the NE of IP, and several reanalysis climate datasets have been used to obtain long time series of attainable wheat yield and to relate their variability with SST anomalies. The results show that the TNA and El Niño influence rainfed wheat development and yield in IP and these impacts depend on the concurrent state of the NAO. Although crop-SST relationships do not equally hold during the whole analyzed period, they can be explained by an understood and stationary ecophysiological mechanism. During the second half of the twenty century, the positive (negative) TNA index is associated to a negative (positive) phase of the NAO, which exerts a positive (negative) influence on the minimum temperature and precipitation during winter and, thus, wheat yield increases (decreases) in IP. In relation to El Niño, the highest correlation takes place in the period 1981–2001. For these decades, high (low) yields are associated with an El Niño to La Niña (La Niña to El Niño) transitions or to El Niño (La Niña) events finishing. For these events, the regional associated atmospheric pattern resembles the NAO, which also influences directly on the maximum temperatures and precipitation experienced by the crop in spring, during flowering and grain filling. The combined effects of the two ... |
author2 |
Campus de Excelencia Internacional Moncloa Ministerio de Economía y Competitividad (España) |
format |
Article in Journal/Newspaper |
author |
Capa-Morocho, Mirian Rodríguez-Fonseca, Belén Ruiz Ramos, Margarita |
author_facet |
Capa-Morocho, Mirian Rodríguez-Fonseca, Belén Ruiz Ramos, Margarita |
author_sort |
Capa-Morocho, Mirian |
title |
Sea surface temperature impacts on winter cropping systems in the Iberian Peninsula |
title_short |
Sea surface temperature impacts on winter cropping systems in the Iberian Peninsula |
title_full |
Sea surface temperature impacts on winter cropping systems in the Iberian Peninsula |
title_fullStr |
Sea surface temperature impacts on winter cropping systems in the Iberian Peninsula |
title_full_unstemmed |
Sea surface temperature impacts on winter cropping systems in the Iberian Peninsula |
title_sort |
sea surface temperature impacts on winter cropping systems in the iberian peninsula |
publisher |
Elsevier |
publishDate |
2016 |
url |
http://hdl.handle.net/10261/184231 https://doi.org/10.1016/j.agrformet.2016.06.007 https://doi.org/10.13039/501100003329 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
https://doi.org/10.1016/j.agrformet.2016.06.007 Sí Agricultural and Forest Meteorology 226-227: 213-228 (2016) 0168-1923 http://hdl.handle.net/10261/184231 doi:10.1016/j.agrformet.2016.06.007 http://dx.doi.org/10.13039/501100003329 |
op_rights |
none |
op_doi |
https://doi.org/10.1016/j.agrformet.2016.06.00710.13039/501100003329 |
container_title |
Agricultural and Forest Meteorology |
container_volume |
226-227 |
container_start_page |
213 |
op_container_end_page |
228 |
_version_ |
1790604071588069376 |