Abstract

Soil parameters represent key data input for crop suitability analysis. Soil databases are complex offering soil mapping units made up of various component soils. In the case of the Harmonized World Soil Database there can be up to 8 component soils per unit. In roughly 1/3 of soil mapping units, the additional component soils take up more than 50% of the pixel share value. The soil parameter value estimate, such as pH, salinity and organic carbon content, may differ between the value of the dominant soil component and the weighted average of the values of all component soil. Understanding the effect of these differences on crop model outputs may allow quantifying the error. In this study, we show the changes in crop suitability of 15 crops while using the parameter value estimates of the dominant soils versus a weighted average of the component soils. In the case of the latter, global crop suitability amounts to 54.5% of the earth’s land surface–1% more than when using the values of just dominant soils. Intrinsic regional differences in the quality of the soil database influence the distribution of crop suitability classes especially in areas where share values of the dominant soil are low. The uncertainty range for the use of dominant versus component soils on the overall global crop suitability could be considered to be 1%, while that of each suitability class can amount to up to 4%.

Highlights

  • Ensuring food security for the global population is already challenging in current times and will be even more, when population rises up to around 8.3 billion by 2030 (UNDP, 2008)

  • We show the changes in crop suitability of 15 crops while using the parameter value estimates of the dominant soils versus a weighted average of the component soils

  • In about 1/3 of the soil mapping units the share value of the dominant soil is less than 50% of the pixel

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Summary

Introduction

Ensuring food security for the global population is already challenging in current times and will be even more, when population rises up to around 8.3 billion by 2030 (UNDP, 2008). Enhanced food production relies on three factors: increased yield, enhanced cropping intensity and the expansion of agricultural land (FAO, 2003). In 2009, the total amount of agricultural and permanent crops amounted to 2.5 billion ha which equals about 19% of the earth’s land surface (Bontemps, Defourny, Van Bogaert, Arino, & Kalogirou, 2009). In the last four decades of the past century, 172 million ha of land have been added in developing countries (FAO, 2003). To ensure global food security, an additional 120 million ha of converted land are projected to be necessary until 2030 and an extra 5% will be necessary up to 2050 (Bruinsma, 2009). Most land is expected to be transformed in South America and Sub Saharan Africa (Fischer, 2000)

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