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. 2023 Aug 12;13(1):13157.
doi: 10.1038/s41598-023-40078-9.

Harmonization service and global library of models to support country-driven global information on salt-affected soils

C T Omuto  1 , M Scherstjanoi  2 , M A Kader  3 , B Musana  4 , A Barman  5 , M Fantappiè  6 , L S Jiménez  7 , W A Jimenez  8 , H Figueredo  9 , R Balta  10 , K Santander  10 , A Malatji  11 , A Nahar  12 , A Kairat  13 , H Ahmadzai  14 , J Morisson  15 , S Stone  15 , R Roopnarine  16 , G Eudoxie  16 , P Khat  17 , C Phy  17 , V Seng  17 , N Janjirawuttikul  18 , M Tina  19 , M Farradas  20 , M Alferihat  21 , K Desire  22 , O J Jayeoba  23 , M Loum  24 , W Ahmad  25 , A S Al Rasbi  26 , N Matolo  27
Affiliations

Harmonization service and global library of models to support country-driven global information on salt-affected soils

C T Omuto et al. Sci Rep. .

Abstract

Global distribution of salt-affected soils (SAS) has remained at about 1 billion hectares in the literature over the years despite changes in climate, sea levels, and land use patterns which influence the distribution. Lack of periodic update of input soil data, data gaps, and inconsistency are part of the reasons for constant SAS distribution in the literature. This paper proposes harmonization as a suitable alternative for managing inconsistent data and minimizing data gaps. It developed a new harmonization service for supporting country-driven global SAS information update. The service contains a global library of harmonization models for harmonizing inconsistent soil data. It also contains models for identifying gaps in SAS database and for showing global distribution where harmonization of available data is needed. The service can be used by countries to develop national SAS information and update global SAS distribution. Its data availability index is useful in identifying countries without SAS data in the global database, which is a convenient way to identify countries to mobilize when updating global SAS information. Its application in 27 countries showed that the countries have more SAS data than they currently share with the global databases and that most of their data require SAS harmonization.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Performance evaluation for EC and pH models on validation data grouped according to geographic regions (LAC—Latin America & Caribbean, NENA—Near East and North Africa).
Figure 2
Figure 2
Comparison of ME polynomial harmonized and measured ECse and pH(water) using holdout samples.
Figure 3
Figure 3
Example service application on global SAS data availability in southern Africa.
Figure 4
Figure 4
Long-term average topsoil (0–30 cm) SAS intensity classes for case-study countries based on FAO classification,.
See this image and copyright information in PMC

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