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Exploring Expert Systems and Geostatistical Modelling to Estimate the Extent of Peatland Suitable for Peat Inversion in Norway

Author

Listed:
  • Geir-Harald Strand

    (Norwegian Institute of Bioeconomy Research, 1431 Ås, Norway)

  • Jonathan Rizzi

    (Norwegian Institute of Bioeconomy Research, 1431 Ås, Norway)

  • Dorothee Kolberg

    (Norwegian Institute of Bioeconomy Research, 1431 Ås, Norway)

  • Synnøve Rivedal

    (Norwegian Institute of Bioeconomy Research, 1431 Ås, Norway)

Abstract

Peat inversion is a management technique used to reduce emissions and retain carbon in cultivated peatland while allowing for effective forage production. Although maps and land registers document the presence of cultivated peatland that is suitable for peat inversion, these data do not cover all regions of interest. This study explores how an expert system and geostatistical modelling can be used to identify cultivated peatland suitable for peat inversion. The expert system proved to work moderately well for cultivable (but not for cultivated) peatland. Geostatistical modelling, using cultivable peatland as statistical support, gave good results in regions with large, continuous landforms. The results were less accurate in regions with rough, rapidly shifting terrain forms and where peatland was less frequent. The difference could be seen in the range and shape of the semivariograms. Geostatistical modelling can be used to identify cultivated peatland suitable for peat inversion in regions where the semivariogram shows a clear and well-defined spatial autocorrelation structure.

Suggested Citation

  • Geir-Harald Strand & Jonathan Rizzi & Dorothee Kolberg & Synnøve Rivedal, 2025. "Exploring Expert Systems and Geostatistical Modelling to Estimate the Extent of Peatland Suitable for Peat Inversion in Norway," Land, MDPI, vol. 14(6), pages 1-16, May.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:6:p:1186-:d:1668884
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    References listed on IDEAS

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    1. Gregory Giuliani & Denisa Rodila & Nathan Külling & Ramona Maggini & Anthony Lehmann, 2022. "Downscaling Switzerland Land Use/Land Cover Data Using Nearest Neighbors and an Expert System," Land, MDPI, vol. 11(5), pages 1-21, April.
    2. Huang, Hsin-Cheng & Chen, Chun-Shu, 2007. "Optimal Geostatistical Model Selection," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1009-1024, September.
    3. Kløve, Bjørn & Berglund, Kerstin & Berglund, Örjan & Weldon, Simon & Maljanen, Marja, 2017. "Future options for cultivated Nordic peat soils: Can land management and rewetting control greenhouse gas emissions?," Environmental Science & Policy, Elsevier, vol. 69(C), pages 85-93.
    4. Ryszard Oleszczuk & Andrzej Łachacz & Barbara Kalisz, 2022. "Measurements versus Estimates of Soil Subsidence and Mineralization Rates at Peatland over 50 Years (1966–2016)," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
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