138
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Soil Organic Carbon Pools in Rice Growing Inceptisols of Northeast India

, , &
Pages 1415-1425 | Received 15 Aug 2022, Accepted 03 Nov 2022, Published online: 15 Nov 2022
 

ABSTRACT

Estimation of soil organic carbon (SOC) stock and its pools is important for understanding C budgeting and ecosystems services of any land use. The present study was conducted to quantify SOC stock and its pools of different oxidizability (very labile, labile, less labile and non-labile C), microbial biomass C and mineralizable C at different depths (0–0.15, 0.15–0.30 and 0.30–0.50 m) of selected 26 rice growing Inceptisols located in the subtropical Manipur valley, India. Results of this study showed that organic C stock in 0–0.50 m depth of the rice growing Inceptisols varied from 55.7 to 133.5 Mg ha−1 and there was a decrease in SOC stock along depth. The rice growing Inceptisols under subtropical climate of northeast India are characterized by cooler climatic conditions and soil acidity, which are favorable for SOC accumulation. The study also showed that more than two-third (72.0%) of SOC is present in active pools with rapid turnover. Therefore, much of the SOC in these soils is very susceptible to changes in management practices such as increased tillage intensity, inappropriate cropping without legume and inadequate fertilization and in weather conditions such as increased temperature.

Disclosure statement

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

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 408.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.