The normalized difference vegetation index (NDVI) as a proxy of soil fertility under no-tillage: Features for different Chernozems and applied treatments in Russian forest-steppe region

Using the normalized difference vegetation index (NDVI) as a proxy for soil fertility would be highly useful for adapting no-tillage to specific environmental conditions and for monitoring soil quality. Therefore, our study aimed to evaluate the relationship between satellite-based NDVI (May-August 2022) and soil fertility under no-tillage in the forest-steppe of Russia, considering different Chernozems (Haplic and Luvic) and treatments (none / with microbial inoculation and irrigation). Among the soil fertility indices (0–10 cm), content of organic and in organic C (SOC and Cinorg), total N, available P and K, SOC:N, pH, microbial bio mass (MBC) and respiration were assessed. Overall, soil nutrient dependence of NDVI was found for Luvic Chernozem in both microbe-inoculated (SOC, N, K with R2 = 0.72 – 0.95) and untreated sites (SOC, SOC:N with R2 = 0.58 – 0.66). For Haplic Chernozem, only a negative relationship between NDVI and Cinorg was found (R2 = 0.47) at an untreated site, which was eliminated by using irrigation with microbial inoculation. Thus, NDVI can be a robust tool for predicting soil nutrient levels for no-tilled Luvic Chernozem, but not for Haplic Chernozem. At the same time, applied treatments can significantly change the specifics of this relationship, which is important to consider in remote sensing of soil fertility.

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Publication Details

Journal
Biological Communications
Published
2025-03-24
DOI
https://doi.org/10.21638/spbu03.2024.405
Primary Topic
Soil and Environmental Studies
Type
article
Field-Weighted Citation Impact
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article

The normalized difference vegetation index (NDVI) as a proxy of soil fertility under no-tillage: Features for different Chernozems and applied treatments in Russian forest-steppe region

А. В. Доброхотов, S. V. Neprimerova, Иващенко Кристина Викторовна, Sofia Sushko et al.
Biological Communications
Soil and Environmental Studies
article

The normalized difference vegetation index (NDVI) as a proxy of soil fertility under no-tillage: Features for different Chernozems and applied treatments in Russian forest-steppe region

А. В. Доброхотов, S. V. Neprimerova, Иващенко Кристина Викторовна, Sofia Sushko, Е. Н. Герасимов, Elena A. Zakharova, Larisa Orlova
article en

Abstract

Using the normalized difference vegetation index (NDVI) as a proxy for soil fertility would be highly useful for adapting no-tillage to specific environmental conditions and for monitoring soil quality. Therefore, our study aimed to evaluate the relationship between satellite-based NDVI (May-August 2022) and soil fertility under no-tillage in the forest-steppe of Russia, considering different Chernozems (Haplic and Luvic) and treatments (none / with microbial inoculation and irrigation). Among the soil fertility indices (0–10 cm), content of organic and in organic C (SOC and Cinorg), total N, available P and K, SOC:N, pH, microbial bio mass (MBC) and respiration were assessed. Overall, soil nutrient dependence of NDVI was found for Luvic Chernozem in both microbe-inoculated (SOC, N, K with R2 = 0.72 – 0.95) and untreated sites (SOC, SOC:N with R2 = 0.58 – 0.66). For Haplic Chernozem, only a negative relationship between NDVI and Cinorg was found (R2 = 0.47) at an untreated site, which was eliminated by using irrigation with microbial inoculation. Thus, NDVI can be a robust tool for predicting soil nutrient levels for no-tilled Luvic Chernozem, but not for Haplic Chernozem. At the same time, applied treatments can significantly change the specifics of this relationship, which is important to consider in remote sensing of soil fertility.

Biological CommunicationsVol. 69(4)
Agrophysical Research Institute (RU), Institute of Physical-Chemical and Biological Problems in Soil Science (RU), Samara State Medical University (RU), State Research Center of the Russian Federation (RU)
Openalex Percentile: Top 93%
Soil and Environmental Studies
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