Estimations of soil fertility in physically degraded agricultural soils  through selective accounting of fine earth and gravel fractions

Nagaraja, Mavinakoppa S.; Bhardwaj, Ajay Kumar; Reddy, G. V. Prabhakara; Srinivasamurthy, Chilakunda A.; Kumar, Sandeep

doi:https://doi.org/10.5194/se-7-897-2016

Articles | Volume 7, issue 3

https://doi.org/10.5194/se-7-897-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/se-7-897-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 7, issue 3

Research article

|

07 Jun 2016

Research article |

| 07 Jun 2016

Estimations of soil fertility in physically degraded agricultural soils through selective accounting of fine earth and gravel fractions

Mavinakoppa S. Nagaraja, Ajay Kumar Bhardwaj, G. V. Prabhakara Reddy, Chilakunda A. Srinivasamurthy, and Sandeep Kumar

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Final revised paper (published on 07 Jun 2016)
Preprint (discussion started on 23 Feb 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review', Anonymous Referee #1, 09 Mar 2016
- AC1: 'REPLY to Interactive comment on “Estimations of soil fertility in physically degraded soils through selective accounting of fine earth” by M. S. Nagaraja et al.', Ajay Bhardwaj, 09 May 2016
RC2: 'Review', Anonymous Referee #2, 12 Mar 2016
- AC2: 'REPLY to Interactive comment on “Estimations of soil fertility in physically degraded soils through selective accounting of fine earth” by M. S. Nagaraja et al.', Ajay Bhardwaj, 09 May 2016

Short summary

Three nutrient stock estimation methods, generalized soil mass (GSM), bulk-density-based soil mass (BDSM) and the proportion of fine earth volume (FEV) method, were compared to estimate organic C and major available nutrient stocks in physically degraded agricultural soils of southern India. The stocks were lowest using FEV method followed by GSM and BDSM method. The study highlights the importance of estimation methods to obtain realistic estimates for the development of degraded land areas.