Variability in soil organic carbon pools in different land use systems in the north-eastern region of India


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Authors

  • SUNITA YADAV ICAR-Indian Agricultural Research Institute, New Delhi image/svg+xml
  • MANDIRA BARMAN ICAR-Indian Agricultural Research Institute, New Delhi image/svg+xml
  • K M MANJAIAH ICAR-Indian Agricultural Research Institute, New Delhi image/svg+xml
  • T J PURAKAYASTHA ICAR-Indian Agricultural Research Institute, New Delhi image/svg+xml
  • PLABANI ROY Central Silk Board-Central Sericultural Research and Training Institute, Pampore, Jammu and Kashmir image/svg+xml
  • R K YADAV Agriculture Research Station Ummedganj, Kota, Rajasthan
  • MD YEASIN ICAR-Indian Agricultural Statistics Research Institute, New Delhi image/svg+xml
  • SEEMA College of Agriculture (Agriculture University, Jodhpur), Jodhpur, Rajasthan

https://doi.org/10.56093/ijas.v94i10.151357

Keywords:

Active and passive carbon, Carbon management index, Carbon pools, Lability index, Land use systems

Abstract

The current study was carried out during 2020 to 2022, at Horticulture Research Centre (HRC), Nagicherra, Agartala, Tripura to assess and compare the effects of various land use systems, including bamboo, tea, mango, lemon, rice-rice, wheat-millet, okra-onion and uncultivated soils, on soil organic carbon (SOC) dynamics. SOC is a critical component of terrestrial ecosystems, influencing soil health, fertility and carbon sequestration potential. The NEH region of India, Tripura characterized by its diverse agro-ecological zones and land use systems (LUS), presents a unique opportunity to investigate the various land use regimes' effects on SOC pools. Walkley and Black carbon (WBC) significantly vary among the selected LUS, ranging from 7.14–12.48 g/kg, with the maximum values in tea LUS. In 0–30 cm depth, very labile C (CVL) pools are very variable among the selected LUS (2.04–5.35 g/kg), which is the highest in tea and mango compared to the uncultivated system. The C pools in selected LUS indicated the deviation depth and land use pattern. Lability index (LI) varies from 1.50–1.63 and 1.40–1.74 in 0–30 cm and 30–60 cm depth, respectively. Carbon pool index (CPI) assessed highest in tea LUS, 1.78 and 2.1 from 0–30 and 30–60 cm, respectively. Carbon management index (CMI) was higher in selected LUS compared to uncultivated system.

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References

Ahirwal J, Gogoi A and Sahoo U K. 2022. Stability of soil organic carbon pools affected by land use and land cover changes in forests of eastern Himalayan region, India. Catena 215: 106308. DOI: https://doi.org/10.1016/j.catena.2022.106308

Babu S, Mohapatra K P, Yadav G S, Lal R, Singh R, Avasthe R K and Kumar A. 2020. Soil carbon dynamics in diverse organic land use systems in North Eastern Himalayan ecosystem of India. Catena 194: 104785. DOI: https://doi.org/10.1016/j.catena.2020.104785

Blair G J, Lefroy R D and Lisle L. 1995. Soil carbon fractions based on their degree of oxidation, and the development of a carbon management index for agricultural systems. Australian Journal of Agricultural Research 46(7): 1459–66. DOI: https://doi.org/10.1071/AR9951459

Cardinael R, Thevathasan N, Gordon A, Clinch R, Mohammed I and Sidders D. 2012. Growing woody biomass for bioenergy in a tree-based intercropping system in southern Ontario, Canada. Agroforestry Systems 86: 279–86. DOI: https://doi.org/10.1007/s10457-012-9572-y

Chan K Y, Bowman A and Oates A. 2001. Oxidizable organic carbon fractions and soil quality changes in an oxicpaleustaff under different pasture lays. Soil Science 166: 61–67. DOI: https://doi.org/10.1097/00010694-200101000-00009

Gualberto A V S, de Souza H A, Sagrilo E, Araujo A S F, Mendes L W, de Medeiros E V and Leite L F C. 2023. Organic C fractions in topsoil under different management systems in northeastern Brazil. Soil Systems 7(1): 11. DOI: https://doi.org/10.3390/soilsystems7010011

Hazra K K, Ghosh P K, Venkatesh M S, Nath C P, Kumar N, Singh M, Singh J and Nadarajan N. 2018. Improving soil organic carbon pools through inclusion of summer mungbean in cereal- cereal cropping systems in Indo-Gangetic plain. Archives of Agronomy and Soil Science 64(12): 1690–704. DOI: https://doi.org/10.1080/03650340.2018.1451638

Jackson M L. 1973. Soil Chemical Analysis, pp. 495. Prentice Hall India Pvt. Ltd., New Delhi.

Kooch Y, Ehsani S and Akbarinia M. 2020. Stratification of soil organic matter and biota dynamics in natural and anthropogenic ecosystems. Soil Tillage Research 200: 104621. DOI: https://doi.org/10.1016/j.still.2020.104621

Mahala D M, Meena M C, Dwivedi B S, Datta S P, Dey A, Das D, Parihar C M, Yadav R K, Chaudhary A, Jat R K, Choudhary K M, Gathala M K and Jat M L. 2023. Changes in soil organic carbon pools after 15 years of Conservation Agriculture in rice (Oryza sativa)-wheat (Triticum aestivum) cropping system of eastern Indo-Gangetic plains. The Indian Journal of Agricultural Sciences 93(6): 653–58. DOI: https://doi.org/10.56093/ijas.v93i6.136045

Manjaiah K M, Sandeep S, Ramesh T and Mayadevi M R. 2017. Soil organic carbon stocks under different agroforestry systems of north-eastern regions of India. Agroforestry: Anecdotal to Modern Science 17: 299–316. DOI: https://doi.org/10.1007/978-981-10-7650-3_11

Mir Y H, Ganie M A, Shah T I, Aezum A M, Bangroo S A, Mir S A and Dar A A. 2023. Soil organic carbon pools and carbon management index under different land use systems in north- western Himalayas. PeerJ 11: 152–66. DOI: https://doi.org/10.7717/peerj.15266

Morris T F, Murrell T S, Beegle D B, Camberato J J, Ferguson R B, Grove J, Ketterings Q, Kyveryga P M, Laboski C A, McGrath J M and Meisinger J J. 2018. Strengths and limitations of nitrogen rate recommendations for corn and opportunities for improvement. Agronomy Journal 110(1): 1–37. DOI: https://doi.org/10.2134/agronj2017.02.0112

Roy P, Bhattacharyya R, Biswas D, Singh R, Das T, Sharma D, Yadav S, Josheph A M and Jha P. 2023. Effect of using agrogeotextiles on soil carbon sequestration in the Indian Himalayas. The Indian Journal of Agricultural Sciences 93(7): 768–73. DOI: https://doi.org/10.56093/ijas.v93i7.136929

Sahoo U K, Singh S L, Gogoi A, Kenye A and Sahoo S S. 2019. Active and passive soil organic carbon pools as affected by different land use types in Mizoram, North-east India. PloS one 14(7): e0219969. DOI: https://doi.org/10.1371/journal.pone.0219969

Tian Q, He H, Cheng W, Bai Z, Wang Y and Zhang X. 2016. Factors controlling soil organic carbon stability along a temperate forest altitudinal gradient. Science Report 6(1): 1–9. DOI: https://doi.org/10.1038/srep18783

Veihmeyer F J and Hendrickson A. 1948. Soil density and root penetration. Soil Science 65(6): 487–94. DOI: https://doi.org/10.1097/00010694-194806000-00006

Walkley A and Black I A. 1934. An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Science 37: 29–38. DOI: https://doi.org/10.1097/00010694-193401000-00003

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Submitted

2024-05-07

Published

2024-10-11

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How to Cite

YADAV, S. ., BARMAN, M. ., MANJAIAH, K. M. ., PURAKAYASTHA, T. J. ., ROY, P. ., YADAV, R. K. ., YEASIN, M. ., & SEEMA. (2024). Variability in soil organic carbon pools in different land use systems in the north-eastern region of India. The Indian Journal of Agricultural Sciences, 94(10), 1125–1129. https://doi.org/10.56093/ijas.v94i10.151357
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