Journal cover Journal topic
SOIL An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.343 IF 3.343
  • IF 5-year value: 4.963 IF 5-year
    4.963
  • CiteScore value: 9.6 CiteScore
    9.6
  • SNIP value: 1.637 SNIP 1.637
  • IPP value: 4.28 IPP 4.28
  • SJR value: 1.403 SJR 1.403
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 25 Scimago H
    index 25
Preprints
https://doi.org/10.5194/soil-2019-60
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-2019-60
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  29 Oct 2019

29 Oct 2019

Review status
A revised version of this preprint was accepted for the journal SOIL and is expected to appear here in due course.

Development of soil biological quality index for soils of semi-arid tropics

Selvaraj Aravindh, Chinnappan Chinnadurai, and Danajeyan Balachandar Selvaraj Aravindh et al.
  • Department of Agricultural Microbiology, Tamil Nadu Agricultural University, Coimbatore 641003, India

Abstract. The Agricultural intensification, an inevitable process to feed the ever-increasing population, affects the soil quality due to management-induced changes. To measure the soil quality in terms of the soil functioning, several attempts were made to develop the soil quality index (SQI) based on a set of soil attributes. However, there is no universal consensus protocol available for SQI and the role of soil biological indicators in SQI is meagre. Therefore, the objective of the present work is to develop a unitless soil biological quality index (SBQI) scaled between 0 and 10, which would be a major component of SQI in future. The long-term organic manure amended (OM), integrated nutrient management enforced (INM), synthetic fertilizer applied (IC) and unfertilized control (Control) soils from three different predominant soil types with three different cropping patterns of the location (Tamil Nadu state, India) were chosen for this. The soil organic carbon, microbial biomass carbon, labile carbon, protein index, dehydrogenase activity and substrate-induced respiration were used to estimate the SBQI. Five different SBQI methods viz., simple additive (SBQI-1 and SBQI-2), scoring function (SBQI-3), principal component analysis-based statistical modeling (SBQI-4) and quadrant-plot based method (SBQI-5) were developed to estimate the biological quality as unitless scale. All the five methods have same resolution to discriminate the soils and INM ≈ OM > IC > Control is the relative trend being followed in all the soil types based on the SBQIs. All the five methods were further validated for their efficiency in 25 farmers' soils of the location and proved that these methods can be effectively used to scale the biological health of the soil. Among the five SBQIs, we recommend SBQI-5, which relates the variables to each other to scale the biological health of the soil.

Selvaraj Aravindh et al.

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Selvaraj Aravindh et al.

Selvaraj Aravindh et al.

Viewed

Total article views: 484 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
311 132 41 484 24 55 54
  • HTML: 311
  • PDF: 132
  • XML: 41
  • Total: 484
  • Supplement: 24
  • BibTeX: 55
  • EndNote: 54
Views and downloads (calculated since 29 Oct 2019)
Cumulative views and downloads (calculated since 29 Oct 2019)

Viewed (geographical distribution)

Total article views: 352 (including HTML, PDF, and XML) Thereof 351 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 24 Sep 2020
Publications Copernicus
Download
Short summary
Soil quality is important for functioning of the agricultural ecosystem to sustain the productivity. It is combination of several physical, chemical and biological attributes. In the present work, we have developed a soil biological quality index, a sub-set of soil quality index (SBQI) using six important biological variables. These variables were computed from long-term manurial experimental soils and transformed into unitless 10-scaled SBQI. This will provide constraints of soil processes.
Soil quality is important for functioning of the agricultural ecosystem to sustain the...
Citation