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Land Uses, Altitude and Texture Effects on Soil Parameters. A Comparative Study in Two Districts of Nagaland, Northeast India

Author

Listed:
  • Gaurav Mishra

    (Division of Silviculture and Forest Management, Rain Forest Research Institute, Jorhat 785001, Assam, India)

  • Rosa Francaviglia

    (Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, 00184 Rome, Italy)

Abstract

Northeast (NE) India is a typical tropical ecosystem with a luxuriant forest vegetation cover, but nowadays forests are under stress due to exploitation and land use changes, which are known to affect soil health and productivity. However, due to a scarcity of data, the influence of land uses and altitude on soil properties of this peculiar ecosystem is poorly quantified. This study presents the changes in soil properties in two districts of Nagaland (Mon and Zunheboto) in relation to land uses (forest, plantation, jhum and fallow jhum), altitude (<500 m, 500–1000 m, >1000 m) and soil texture (coarse, medium, fine). For this, a random soil sampling was performed in both the districts. Results indicated that soil organic carbon (SOC) stocks and available potassium (K) were significantly influenced by land uses in the Mon district, while in Zunheboto a significant difference was observed in available phosphorus (P) content. SOC stocks showed an increasing trend with elevation in both districts. The influence of altitude on P was significant and the maximum concentration was at lower elevations (<500 m). In Mon, soil texture significantly affected SOC stocks and the available N and P content. The variability in soil properties due to land uses, altitudinal gradients and textural classes can be better managed with the help of management options, which are still needed for this ecosystem.

Suggested Citation

  • Gaurav Mishra & Rosa Francaviglia, 2021. "Land Uses, Altitude and Texture Effects on Soil Parameters. A Comparative Study in Two Districts of Nagaland, Northeast India," Agriculture, MDPI, vol. 11(2), pages 1-13, February.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:2:p:171-:d:502008
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    References listed on IDEAS

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    1. Mishra, Gaurav & Jangir, Abhishek & Francaviglia, Rosa, 2019. "Modeling soil organic carbon dynamics under shifting cultivation and forests using Rothc model," Ecological Modelling, Elsevier, vol. 396(C), pages 33-41.
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    Cited by:

    1. Fuat Kaya & Gaurav Mishra & Rosa Francaviglia & Ali Keshavarzi, 2023. "Combining Digital Covariates and Machine Learning Models to Predict the Spatial Variation of Soil Cation Exchange Capacity," Land, MDPI, vol. 12(4), pages 1-20, April.
    2. Aike Kan & Qing Xiang & Xiao Yang & Huiseng Xu & Xiaoxiang Yu & Hong Huang, 2023. "Revealing the Environmental Characteristics of Towns in the Middle Himalayas Using a Geographic Information System and Self-Organizing Map," Sustainability, MDPI, vol. 15(20), pages 1-15, October.

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