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Seasonal forecasts for the Limpopo Province in estimating deviations from grazing capacity

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Abstract

Application of seasonal forecasts in agriculture has significant potential and realized utility. Other sectors that may also benefit from using seasonal forecasts include (but are not limited to) health, hydrology, water, and energy. This paper shows that seasonal forecast model data, satellite Pour l’Observation de la Terre (SPOT), dry matter productivity (DMP) data (proxy of grass biomass) along with other sets of data are effectively used to estimate grazing capacity (GC) over a 12-year test period (1998/1999–2009/2010) in Limpopo Province. GC comprises a vital consideration in agricultural activities, particularly for a province in South Africa like Limpopo, due to its varying climate. The Limpopo Province capitalizes on subsistence farming, including livestock and crop production. Grazing should thus be regulated in order to conserve grass, shrubs, and trees, thereby ensuring sustainability of rangelands. In a statistical downscaling model, the predictor is the 850 geopotential height fields of a coupled ocean–atmosphere general circulation (CGCM) over Southern Africa to predict seasonal DMP values. This model shows that the mid-summer rainfall totals are important predictors for the November through April (NDJFMA) DMP (as well as grazing capacity) growing season. Forecast verification is conducted using the relative operating characteristics (ROC) and reliability diagrams. The CGCM model shows skill in discriminating high and low DMP (GC) seasons in the Limpopo Province, as well as reliability in the probabilistic forecasts. This paper demonstrates the development of a tailored forecast, an avenue that should be explored in enhancing relevance of forecasts in agricultural production.

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Acknowledgements

The authors have made use of CGCM data from the IRI and would like to thank IRI for the access to their website (http://iridl.Ideo.Columbia.edu//).

Funding

This study is based upon work fully supported financially by the Agricultural Research Council.

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Authors and Affiliations

  1. Agricultural Research Council, Institute for Soil, Climate and Water, Private Bag X79, Pretoria, 0001, South Africa

    Phumzile Maluleke

  2. Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Private Bag X41, Hatfield, Pretoria, 0028, South Africa

    Phumzile Maluleke & Willem A. Landman

  3. Council for Scientific and Industrial Research, Natural Resources & the Environment, PO Box 395, Pretoria, 0001, South Africa

    Johan Malherbe

  4. Council for Scientific and Industrial Research, Natural Resources & the Environment, Building 1, cnr Carlow & Rustenburg Roads, Melville, Johannesburg, 2092, South Africa

    Emma Archer

Authors
  1. Phumzile Maluleke
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  2. Willem A. Landman
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  3. Johan Malherbe
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  4. Emma Archer
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Correspondence to Phumzile Maluleke.

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Maluleke, P., Landman, W.A., Malherbe, J. et al. Seasonal forecasts for the Limpopo Province in estimating deviations from grazing capacity. Theor Appl Climatol 137, 1693–1702 (2019). https://doi.org/10.1007/s00704-018-2696-x

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