Assessing Soil Quality Under Different Land-Uses Through Constructing Minimum Datasets from Soil Profiles in a Fragile Ecosystem of Northeastern Region of India

ABSTRACT

The conversion of forest to agricultural land has been a major worldwide concern and a cause of deterioration of soil quality. The study examined the influence of land uses on the soil quality index (SQI) using minimum datasets (MDS) constructed from soil profiles through two methods namely, additive (SQI_a) and weighted (SQI_w). In this study, 29 geo-referenced soil profiles (116 layers) up to a depth of 150 cm were collected in Northeastern India, representing forest, jhum, jhum fallow, and agricultural land uses. Principal component analysis (PCA) with multiple correlation analysis is found to be a suitable statistical method for selecting the key soil quality indicators. From PCA, organic carbon (OC), sand, clay, available P and available S were selected as soil quality indicators in MDS. Our results showed that these MDS significantly varied within the profiles depending on the land-uses. The estimated values of SQIs showed that SQI_a was higher than SQI_w across the soil depths and land-uses. For the surface soil, SQI_a values were in the order of forest (2.97) > jhum fallow (2.82) > agriculture (2.68) > jhum land (1.97) and for profile soil jhum fallow (2.38) > forest (2.37) > agriculture (2.33) > jhum (1.88). Similarly, SQI_w followed the trend of forest > jhum fallow > agriculture > jhum for all the three studied depths. The statistical analysis showed that the surface, subsurface, and profile soil had no significant impact on SQI_w for agriculture, fallow jhum, and forest. The overall data indicated that jhum land had a significantly lower SQI than other land-uses for all soil depths. From this study, the information generated can be useful to assess the soil quality in different land-uses for managing soil health in similar areas of the Northeastern region of India. The findings are also useful in the ecosystems in which soils develop in an acid edaphic environment.

KEYWORDS:

• Indicators
• land-uses
• Northeastern region (NER)
• soil properties
• soil quality index (SQI)

Acknowledgements

This research was financially supported by the Department of Agriculture, Govt. of Arunachal Pradesh, India to carryout soil survey work under the project “Land resource inventory of Arunachal Pradesh in large scale for agricultural land use planning using geo-spatial techniques”. The authors would like to place on record their sincere thanks to the Indian Council of Agricultural Research (ICAR), New Delhi, India for providing laboratory facilities and all of our colleagues who helped directly or indirectly to carry out the study.

Disclosure statement

No potential conflict of interest was reported by the author(s).