Frederik Bøe, Jannes Stolte, Loes van Schaik, Coen Ritsema

A pedo‐climatic approach towards soil health assessment: Soil texture‐specific scoring curves on arable land in Norway

  • Pollution
  • Soil Science
  • Agronomy and Crop Science
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AbstractSoil health assessments that integrate physical, chemical and biological indicators help the evaluation of soil functioning, provide a framework for monitoring soil degradation, guide land management activities and secure the delivery of soil ecosystem services. In this study, we assessed soil health by soil texture class on arable land in Southeast Norway and mid‐Norway and between grassland and arable land in mid‐Norway. We used descriptive statistics and the Welch t‐test with unequal variance and Bonferroni corrections to compare a physical soil indicator (bulk density) and chemical indicators (organic matter, P‐AL, K‐AL, Ca‐AL, Mg‐AL, Na‐AL and pH). We developed scoring curves from cumulative normal distribution functions on regional soil data for various soil indicators where climate, soil texture class and land use were considered. Our results show that for certain soil texture classes, average soil indicator values differed between pedo‐climatic zones on arable land, but for others the difference was not significant. The variability between the pedo‐climatic zones for these can be neglected, but for the ones that differ, the variability is important to consider when assessing soil health. Similarly, this was the case when comparing land use (grassland and arable land) for most soil indicators in mid‐Norway. This finding illustrates the importance of addressing unique local conditions in soil health assessments. We propose aggregating similar soil texture classes where no differences are apparent when developing scoring curves. The sub‐optimal levels of plant available nutrients (P‐AL and K‐AL) found in the soil in both pedo‐climatic zones highlights the importance of suitable threshold values for targeted soil ecosystem services to ensure soil health and sustainable agricultural production. We also recommend prioritizing the most relevant soil ecosystem services to limit the number of soil indicators that need monitoring.

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