ENSO-based climate variability affects water use efficiency of rainfed cotton grown in the southeastern USA

Axel Garcia y Garcia, Tomas Persson, Joel O. Paz, Clyde Fraisse, Gerrit Hoogenboom

    Research output: Contribution to journalArticle

    17 Citations (Scopus)

    Abstract

    The El Niño Southern Oscillation (ENSO)-based climate variability can have a significant impact on crop production due to its effect on yield variation on space and time. The main objective of this study was to determine the impact of ENSO-based climate variability on water use efficiency (WUE) of rainfed cotton (Gossypium hirsutum L.) grown in the southeastern USA. Specific objectives were to determine the spatial and temporal variability of WUE of rainfed cotton as related to ENSO phases. The CSM-CROPGRO-Cotton model, previously calibrated and evaluated with observed data, was used to simulate seed yield and evapotranspiration of rainfed cotton for selected counties in Alabama, Florida, and Georgia for the period from 1950 to 2006. For each location, model simulations from nine planting dates were categorized into the ENSO phases using the Japan Meteorological Agency (JMA) index. Then, simulation outputs were used to calculate WUE as the ratio of cotton seed yield to crop evapotranspiration. For each location and planting date, normal values for WUE were obtained and deviations from normal for each ENSO phase were determined. Exploratory and nonparametric analyses were used to analyze the results. Our results suggest that WUE of rainfed cotton is differentially affected by ENSO. During El Niño years WUE deviations from normal tended to be negative for early planting dates but positive and larger for late planting dates, no tendency was found for the entire planting window during Neutral years. During La Niña years WUE deviations from normal tend to be positive and larger for early to mid planting dates, becoming smaller and negative for late planting dates. The stronger spatial dependence of WUE during La Niña years than during El Niño and Neutral years may imply that more attention should be given to planning strategies during La Niña years if we were to plan rainfed cotton in the region. Our results suggest that management practices of rainfed cotton tailored to ENSO-based climate variability are promising as a strategy for reducing the vulnerability of the crop to climate variability in the southeastern USA.

    Original languageEnglish (US)
    Pages (from-to)629-635
    Number of pages7
    JournalAgriculture, Ecosystems and Environment
    Volume139
    Issue number4
    DOIs
    StatePublished - Dec 15 2010

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    Southern Oscillation
    water use efficiency
    oscillation
    cotton
    planting date
    climate
    seed yield
    evapotranspiration
    seed
    crop
    cottonseed
    crops
    planting
    Gossypium hirsutum
    crop production
    space and time
    normal values
    simulation
    management practice
    simulation models

    Keywords

    • DSSAT
    • ET cotton
    • El Niño Southern Oscillation
    • Gossypium hirsutum L.
    • Spatio-temporal variability of WUE
    • Water productivity

    Cite this

    ENSO-based climate variability affects water use efficiency of rainfed cotton grown in the southeastern USA. / Garcia y Garcia, Axel; Persson, Tomas; Paz, Joel O.; Fraisse, Clyde; Hoogenboom, Gerrit.

    In: Agriculture, Ecosystems and Environment, Vol. 139, No. 4, 15.12.2010, p. 629-635.

    Research output: Contribution to journalArticle

    Garcia y Garcia, Axel ; Persson, Tomas ; Paz, Joel O. ; Fraisse, Clyde ; Hoogenboom, Gerrit. / ENSO-based climate variability affects water use efficiency of rainfed cotton grown in the southeastern USA. In: Agriculture, Ecosystems and Environment. 2010 ; Vol. 139, No. 4. pp. 629-635.
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    abstract = "The El Ni{\~n}o Southern Oscillation (ENSO)-based climate variability can have a significant impact on crop production due to its effect on yield variation on space and time. The main objective of this study was to determine the impact of ENSO-based climate variability on water use efficiency (WUE) of rainfed cotton (Gossypium hirsutum L.) grown in the southeastern USA. Specific objectives were to determine the spatial and temporal variability of WUE of rainfed cotton as related to ENSO phases. The CSM-CROPGRO-Cotton model, previously calibrated and evaluated with observed data, was used to simulate seed yield and evapotranspiration of rainfed cotton for selected counties in Alabama, Florida, and Georgia for the period from 1950 to 2006. For each location, model simulations from nine planting dates were categorized into the ENSO phases using the Japan Meteorological Agency (JMA) index. Then, simulation outputs were used to calculate WUE as the ratio of cotton seed yield to crop evapotranspiration. For each location and planting date, normal values for WUE were obtained and deviations from normal for each ENSO phase were determined. Exploratory and nonparametric analyses were used to analyze the results. Our results suggest that WUE of rainfed cotton is differentially affected by ENSO. During El Ni{\~n}o years WUE deviations from normal tended to be negative for early planting dates but positive and larger for late planting dates, no tendency was found for the entire planting window during Neutral years. During La Ni{\~n}a years WUE deviations from normal tend to be positive and larger for early to mid planting dates, becoming smaller and negative for late planting dates. The stronger spatial dependence of WUE during La Ni{\~n}a years than during El Ni{\~n}o and Neutral years may imply that more attention should be given to planning strategies during La Ni{\~n}a years if we were to plan rainfed cotton in the region. Our results suggest that management practices of rainfed cotton tailored to ENSO-based climate variability are promising as a strategy for reducing the vulnerability of the crop to climate variability in the southeastern USA.",
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    AU - Fraisse, Clyde

    AU - Hoogenboom, Gerrit

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    AB - The El Niño Southern Oscillation (ENSO)-based climate variability can have a significant impact on crop production due to its effect on yield variation on space and time. The main objective of this study was to determine the impact of ENSO-based climate variability on water use efficiency (WUE) of rainfed cotton (Gossypium hirsutum L.) grown in the southeastern USA. Specific objectives were to determine the spatial and temporal variability of WUE of rainfed cotton as related to ENSO phases. The CSM-CROPGRO-Cotton model, previously calibrated and evaluated with observed data, was used to simulate seed yield and evapotranspiration of rainfed cotton for selected counties in Alabama, Florida, and Georgia for the period from 1950 to 2006. For each location, model simulations from nine planting dates were categorized into the ENSO phases using the Japan Meteorological Agency (JMA) index. Then, simulation outputs were used to calculate WUE as the ratio of cotton seed yield to crop evapotranspiration. For each location and planting date, normal values for WUE were obtained and deviations from normal for each ENSO phase were determined. Exploratory and nonparametric analyses were used to analyze the results. Our results suggest that WUE of rainfed cotton is differentially affected by ENSO. During El Niño years WUE deviations from normal tended to be negative for early planting dates but positive and larger for late planting dates, no tendency was found for the entire planting window during Neutral years. During La Niña years WUE deviations from normal tend to be positive and larger for early to mid planting dates, becoming smaller and negative for late planting dates. The stronger spatial dependence of WUE during La Niña years than during El Niño and Neutral years may imply that more attention should be given to planning strategies during La Niña years if we were to plan rainfed cotton in the region. Our results suggest that management practices of rainfed cotton tailored to ENSO-based climate variability are promising as a strategy for reducing the vulnerability of the crop to climate variability in the southeastern USA.

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