Effect of land use systems on soil physical, chemical and biological properties in north-eastern region of India


315 / 294

Authors

  • SIYARAM MEENA ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India image/svg+xml
  • K M MANJAIAH ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India image/svg+xml
  • V K SHARMA ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India image/svg+xml
  • R S BANA ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India image/svg+xml
  • SUNITA YADAV ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India image/svg+xml
  • A R MEENA ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India image/svg+xml
  • RAVI SAINI ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India image/svg+xml

https://doi.org/10.56093/ijas.v95i11.156915

Keywords:

Land use systems, Microbial biomass carbon, MWD, Soil organic carbon, Tripura

Abstract

Soil plays a crucial role in crop production, and understanding its physiochemical properties across different land use systems (LUSs) is vital for developing effective land management strategies that enhance soil health. This study was carried out during 2022 and 2023 in the subtropical region of Tripura to assess the impact of various LUSs on the physical, chemical, and biological properties of soil. The study consisted of 12 LUSs, viz. T1, Oil palm (Elaeis spp.); T2, Litchi (Litchi chinesis); T3, Citrus; T4, Guava (Psidium guajava); T5, Rubber (Hevea brasiliensis); T6, Ginger (Zingiber officinale); T7, Uncultivated (A); T8, Rice (Oriyza sativa)-fallow; T9, Vegetable cowpea (Vigna unguiculata)-rice-maize (Zea mays); T10, Vegetable cowpea-rice-lentil (Lens culinaris); T11, Vegetable cowpea-rice-mustard (Brassica juncea); and T12, Uncultivated (B). The experiment was laid out in a completely randomized block (CRBD) design with three replications. Results showed that bulk density (BD) increased with depths, ranging from 1.15 Mg/m³ in litchi at 0–15 cm to 1.56 Mg/m³ in the uncultivated at 75–100 cm, indicating higher compaction in agricultural LUSs. Perennial crops like oil palm exhibited the highest mean nitrogen (340 kg/ha) and potassium (140 kg/ha) availability followed by litchi and rubber with notable reductions in pH values. Uncultivated LUS consistently recorded the lowest values with pH decreasing from 4.93 to 4.52 and nitrogen averaging 219 kg/ha. Mean soil organic carbon (SOC) content was highest in litchi (12.3 g/kg), rubber (11.8 g/kg) and oil palm (11.3 g/kg) and lowest in uncultivated A (5.29 g/kg). The SOC decreases with depths, with maximum values at 0–15 cm depth due to organic matter accumulation. Litchi exhibited the highest soil microbial biomass carbon (MBC 368.2 mg/kg) and nitrogen (MBN 82.1 mg/kg), followed by rubber, highlighting the role of perennial vegetation in promoting soil health compared to annual crops and uncultivated land. The study underscores the importance of horticultural land use systems, like litchi and rubber, in increasing SOC content, improving soil quality, and aiding climate change mitigation.

Downloads

Download data is not yet available.

References

Ahmadi H, Mirseyed Hosseini H, Moshiri F, Alikhani H A and Etesami H. 2024. Impact of varied tillage practices and phosphorus fertilization regimes on wheat yield and grain quality parameters in a five-year corn-wheat rotation system. Scientific Reports 14(1): 14717. DOI: https://doi.org/10.1038/s41598-024-65784-w

Bell–Dereske L P, Benucci G M, da Costa P B, Bonito G, Friesen M L, Tiemann L K and Evans S E. 2023. Regional biogeography versus intra-annual dynamics of the root and soil microbiome. Environmental Microbiome 18(1): 50. https://doi.org/10.1186/s40793–023–00504–x DOI: https://doi.org/10.1186/s40793-023-00504-x

Bordoloi J, Bordoloi L J, Yadav K R and Baishya L K. 2024. Assessing horticulture-based land management impacts on carbon dynamics and soil quality. The Indian Journal of Agricultural Sciences 94(8): 890–94. DOI: https://doi.org/10.56093/ijas.v94i8.148319

Bouyoucos G J. 1962. Hydrometer method improved for making particle size analysis of soils. Agronomy Journal 54: 464–65. Bray R H and Kurtz L T. 1945. Determination of total, organic, and available forms of phosphate soils. Soil Science 59(1): 39–46. DOI: https://doi.org/10.1097/00010694-194501000-00006

Brookes P C, Kragt J F, Powlson D S and Jenkinson D S. 1985. Chloroform fumigation and release of soil nitrogen: The effect of fumigation time and temperature. Soil Biology and Biochemistry 17: 831–35. DOI: https://doi.org/10.1016/0038-0717(85)90143-9

Chen Q, Fu R, Cheng S, Qiao D, Hu Z, Zhang Z and Dai L. 2024. Effects of the conversion of natural tropical rainforest to monoculture rubber plantations on soil hydrological processes. Journal of Plant Ecology 17(2): rtae021. DOI: https://doi.org/10.1093/jpe/rtae021

Chimitdorzhieva G D. 2023. Paths of carbon sequestration in land use (literature review). Contemporary Problems of Ecology 16(3): 274–84. DOI: https://doi.org/10.1134/S1995425523030034

Dangi S R, Sainju U M, Allen B L and Calderon R B. 2024. Soil microbial community structures under annual and perennial crops treated with different nitrogen fertilization rates. Soil Systems 8(3): 81. https://doi.org/10.3390/soilsystems8030081 DOI: https://doi.org/10.3390/soilsystems8030081

De Laurentiis V, Maier S, Horn R, Uusitalo V, Hiederer R, Cheron Bessou C, Morais T, Grant T, Milai Canals L and Sala S. 2024.

Soil organic carbon as an indicator of land use impacts in life cycle assessment. The International Journal of Life Cycle Assessment 29: 1190–208. DOI: https://doi.org/10.1007/s11367-024-02307-9

Devi N B. 2021. Soil microbial biomass as an index of soil quality and fertility in different land use systems of northeast India. (In) Microbiological Activity for Soil and Plant Health Management, pp. 91–110. Springer. https://doi.org/10.1007/978–981–16–2922–8_4 DOI: https://doi.org/10.1007/978-981-16-2922-8_4

Dhyani S K and Tripathi R S. 1998. Tree growth and crop yield under agrisilvicultural practices in north-east India. Agroforestry Systems 44(1): 1–2. DOI: https://doi.org/10.1023/A:1006176303162

Diwakar S K, Zaidi S F, Kumar S, Kumar A, Avasthe R K, Singh R, Babu S, Gudade B A, Verma G and Kumar N. 2021. Effect of land use systems on soil health in eastern region of Uttar Pradesh. The Indian Journal of Agricultural Sciences 91(4): 647–50. DOI: https://doi.org/10.56093/ijas.v91i4.112743

Gomez K A and Gomez A A. 1984. Statistical Procedure for Agricultural Research, 2nd edn, pp. 680. John Wiley and Sons, Inc., New York, USA.

Hamzah Saleem M, Usman K, Rizwan M, Al Jabri H and Alsafran M. 2022. Functions and strategies for enhancing zinc availability in plants for sustainable agriculture. Frontiers in Plant Science 13: 1033092. DOI: https://doi.org/10.3389/fpls.2022.1033092

Hanway J J and Heidel H. 1952. Soil analysis methods as used in Iowa State College, soil testing laboratory. Iowa State College Bulletin 57: 1–131.

Jackson M L. 1973. Soil Chemical Analysis. Prentice Hall of India Private Limited, New Delhi.

Jenkinson D S and Ladd J N. 1981. Microbial biomass in soil: Measurement and turnover. Soil Biology and Biochemistry 5: 415–17.

Jenkinson D S and Powlson D S. 1976. The effects of biocidal treatments on metabolism in soil: V. A method for measuring soil biomass. Soil Biology and Biochemistry 8: 209–13. DOI: https://doi.org/10.1016/0038-0717(76)90005-5

Kemper W D and Chepil W S. 1965. Size distribution of aggregates. Methods of soil analysis: Part 1 physical and mineralogical properties, including statistics of measurement and sampling. Madison: American Society of Agronomy 9: 499–510. DOI: https://doi.org/10.2134/agronmonogr9.1.c39

Li Y, Ma Z, Liu Y, Cui Z, Mo Q, Zhang C, Sheng H, Wang W and Zhang Y. 2023. Variation in soil aggregate stability due to land use changes from alpine grassland in a high–altitude watershed. Land 12(2): 393. https://doi.org/10.3390/land12020393 DOI: https://doi.org/10.3390/land12020393

Lindsay W L and Norvell W. 1978. Development of a DTPA soil test for zinc, iron, manganese, and copper. Soil science society of America journal 42(3): 421–28. DOI: https://doi.org/10.2136/sssaj1978.03615995004200030009x

Meena S, Manjaiah K M, Sharma V K, Purakayastha T J, Das S, Bana R S, Gawdiya S, Yadav S, Saini R, Kumar A and El-Hendawy S. 2025. Exploring soil organic carbon fractions, stocks, and carbon management index across land uses in subtropical ecosystems of Tripura, India. Frontiers in Sustainable Food Systems 9: 1604101. DOI: https://doi.org/10.3389/fsufs.2025.1604101

Nweke I A, Okafor J M, Okenmuo F C, Nwosu V T, Egboka N T, Odii J N and Odii O U. 2025. An association between 14 different aggregate stability indices, soil properties, soil depths and eight different soil land use types. American Journal of Multidisciplinary Research and Development 7(3): 41–54.

Nyameasem J K, Reinsch T, Taube F, Domozoro C Y, Marfo–Ahenkora E, Emadodin I and Malisch C S. 2020. Nitrogen availability determines the long-term impact of land use change on soil carbon stocks in grasslands of southern Ghana. Soil 6: 523–39. DOI: https://doi.org/10.5194/soil-6-523-2020

R Core Team. 2024. R: A language and environment for statistical computing (Version 2024.12.1+563) [Computer software]. R Foundation for Statistical Computing, Vienna, Austria. https://www.r-project.org/

Ramesh T, Manjaiah K M, Tomar J M and Ngachan S V. 2013. Effect of multipurpose tree species on soil fertility and CO2 efflux under hilly ecosystems of northeast India. Agroforestry Systems 87: 1377–88. DOI: https://doi.org/10.1007/s10457-013-9645-6

Reza S K, Baruah U, Nayak D C, Dutta D and Singh S K. 2018. Effects of land-use on soil physical, chemical, and microbial properties in humid subtropical north-eastern India. National Academy Science Letters 41: 141–45. DOI: https://doi.org/10.1007/s40009-018-0634-1

Subbiah B V and Asija G L. 1956. A rapid procedure for the determination of available nitrogen in soils. Current Science 25: 259–60.

Vikram N, Sagar A, Gangwar C, Husain R and Kewat R N. 2022. Properties of humic acid substances and their effect on soil quality and plant health. (In) Humus and Humic Substances–Recent Advances, pp. 1–14. IntechOpen. DOI: https://doi.org/10.5772/intechopen.105803

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

Downloads

Submitted

2024-09-20

Published

2025-11-19

Issue

Section

Articles

How to Cite

MEENA, S. ., MANJAIAH, K. M. ., SHARMA, V. K. ., BANA, R. S. ., YADAV, S. ., MEENA, A. R. ., & SAINI, R. . (2025). Effect of land use systems on soil physical, chemical and biological properties in north-eastern region of India. The Indian Journal of Agricultural Sciences, 95(11), 1379–1386. https://doi.org/10.56093/ijas.v95i11.156915
Citation