The Effect of Land Use Change on Root Characteristics and Soil Enzyme Dynamics in the Hyrcanian Ecosystem

Document Type : Research Article

Authors

Department of Range Management. Faculty of Natural Resources & Marine Sciences. Tarbiat Modares University. Noor. Iran

Abstract
Introduction
 The Hyrcanian region, one of the richest forest ecosystems in Iran, is characterized by dense and diverse vegetation that plays a fundamental role in environmental sustainability, regulation of biogeochemical cycles, and support of biodiversity. However, in recent years, increasing human pressures and unsustainable land-use practices have led to the degradation of parts of the Caspian forest ecosystems and a substantial reduction in vegetation cover in some areas. In this context, fine roots, due to their crucial role in nutrient cycling and high sensitivity to land-use changes, together with coarse roots because of their structural functions, and soil enzymes as sensitive indicators of land management, are considered effective tools for assessing the impacts of land-use change on ecosystem functioning. Therefore, this study aimed to investigate the effects of vegetation degradation and restoration on root characteristics and soil enzyme activities in the Caspian region.
 
Materials and Methods
 The study area is located in Kelarabad district, western Mazandaran Province, Iran. Seven different land-use types were selected in the study area, including  (1) natural forest, (2) degraded forest, (3) afforestation with Alnus subcordata C. A. Mey., (4) afforestation with Acer insigne Boiss, (5) mixed afforestation with Alnus subcordata C. A. Mey.– Acer insigne Boiss., (6) afforestation with the non-native coniferous species Sequoia sempervirens (D. Don) Endl., and (7) prairie. For each vegetation type, three one-hectare sample plots (100 × 100 m) were established. Within each plot, soil samples were collected from the four corners at three depths (0–10, 10–20, and 20–30 cm) using a 30 × 30 cm sampling frame. Consequently, a total of 36 soil samples were collected from each habitat. Simultaneously, root samples were collected from the 0–30 cm depth within the same sampling units, resulting in 12 root samples per habitat, which were then transported to the laboratory. After transfer to the laboratory, root traits and soil properties were determined using standard analytical methods. All statistical analyses were performed using SPSS software (version 22). In addition, principal component analysis (PCA) was conducted using PC-ORD software to examine the relationships among vegetation cover, root characteristics, and soil enzyme activities across different soil depths.
 
Results and Discussion
The results of the assessment of root and soil ecochemical characteristics across the studied habitats indicated that the highest fine-root biomass and coarse root biomass occurred in the natural forest habitat. Specifically, coarse root biomass (482.38 kg ha⁻¹) and the concentrations of carbon (40.72%), nitrogen (0.51%), phosphorus (2.64%), potassium (1.56%), calcium (0.77%), and magnesium (0.42%) in fine roots were higher in the natural forest than in the other habitats. In contrast, the highest carbon-to-nitrogen ratios of both coarse roots (91.92) and fine roots (89.27) were observed in the degraded forest habitat. Regarding soil enzyme activities, the highest activities of acid phosphatase (420.58 µg PNP g⁻¹ h⁻¹), arylsulfatase (310.58 µg PNP g⁻¹ h⁻¹), and invertase (198.08 µg glucose g⁻¹ 3 h⁻¹) were recorded in the natural forest habitat at the 0–10 cm soil depth. The highest urease activity (33.84 µg NH₄⁺–N g⁻¹ 2 h⁻¹) was observed in the Alnus subcordata-restored habitat. Across all studied habitats, enzyme activities decreased with increasing soil depth, reaching their lowest values in the deeper soil layers.
 
Conclusion
The available evidence suggests that land degradation and land-use change, through reductions in vegetation quantity and diversity, can alter soil biological processes and lead to changes in root characteristics and soil enzyme activities. Because these biological indicators play a crucial role in regulating nutrient cycling and maintaining soil quality, understanding their responses to forest degradation and restoration is particularly important, especially in temperate ecosystems. The results of this study demonstrated that natural forest and restored forest habitats, characterized by higher soil enzyme activities, greater root biomass, and more favorable soil ecochemical conditions, exhibited superior biological performance compared with degraded and prairie habitats. Overall, the findings indicate that soil biological indicators—particularly root traits and soil enzyme activities—are sensitive and effective tools for evaluating the success of vegetation restoration and detecting the impacts of degradation in forest ecosystems of the Hyrcanian region. Therefore, the application of these indicators can provide a robust scientific basis for soil quality monitoring and the development of sustainable restoration and management programs in this region.
 
Acknowledgements
This work is based upon research funded by Iran National Science Foundation (INSF) under postdoctoral research project No.4038546.

Keywords

Subjects

Authors retain the copyright. This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0)

  1. Alef, K., & Nannipieri, P. (1995). Methods in applied soil microbiology and biochemistry. Academic Press, London.
  2. Amani, M., Kooch, Y., & Abedi, M. (2022). Effect of degradation intensity of wooded rangelands on soil health indicators of Kojur region, Nowshahr. (master's thesis). Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, 181 pages. (In Persian with English abstract). https://doi.org/10.1016/j.scitotenv.2022.154827
  3. Amani, M., Kooch, Y., & Abedi, M. (2023). Effect of degradation intensity of wooded rangelands on root characteristics and soil ecochemical activities of Mirkola Region of Nowshahr. Rangeland, 17, 82-96. (In Persian with English abstract)
  4. Azaryan, M., Abrari Vajari, K., & Amanzadeh, B. (2021). Variations in humus and fine root properties related to development stages in a temperate natural Beech forest. European Journal of Forest Research, 140, 307-316.‏ https://doi.org/10.1007/s10342-020-01331-2
  5. Boromand, M., Qajar Sepalnou, M., Bahmanyar, M.A., & Salek Gilani, S. (2015). Evaluation of the effects of land use change from forest areas into agricultural lands on some chemical properties of soil (Case study: Zarin Abad, Sari, Iran). Physical Geography Research, 47, 449-435. (In Persian with English abstract)
  6. Cardinale, B.J., Wright, J.P., Cadotte, M.W., Carroll, I.T., Hector, A., Srivastava, D.S., Loreau, M., & Weis, J.J. (2007). Impacts of plant diversity on biomass production increase through time because of species complementarity. Proceedings of the National Academy of Sciences, 104, 18123-18128.‏ https://doi.org/10.1073/ 0709069104
  7. Chen, X., Chen, H.Y.H., Chen, X., Wang, J., Chen, B., Wang, D., & Guan, Q. (2016). Soil labile organic carbon and carbon-cycle enzyme activities under different thinning intensities in Chinese fir plantations. Soil Ecology, 107, 162-169. https://doi.org/10.1016/j.apsoil.2016.05.016
  8. Cheng, X.L., Yang, Y.H., Li, M., Dou, X.L., & Zhang, Q.F. (2013). The impact of agricultural land use changes on soil organic carbon dynamics in the Danjiangkou Reservoir area of China. Plant and Soil, 366, 415-424. https://doi.org/10.1007/s11104-012-1446-6
  9. Cowie, A.L., Orr, B.J., Sanchez, V.M.C., Chasek, P., Crossman, N.D., Erlewein, A., Louwagie, G., Maron, M., Metternicht, G.I., Minelli, S., Tengberg, A.E., Walter, S., & Welton, S. (2018). Land in balance: The scientific conceptual framework for Land Degradation Neutrality. Environmental Science & Policy, 79, 25-35. https://doi.org/10.1016/j.envsci.2017.10.011
  10. Dipesh, K.C,. & Schuler, J.L. (2013). Estimating fine-root production and mortality in the biomass plantations. Communications in Soil Science and Plant Analysis, 44, 2514-2523. https://doi.org/10.1080/00103624. 811516
  11. Gao, M., Hu, W., Li, M., Wang, S., & Chu, L. (2025). Network analysis was effective in establishing the soil quality index and differentiated among changes in land-use type. Soil and Tillage Research, 246,https://doi.org/10.1016/j.still.2024.106352
  12. He, Y., Hong, M., Xu, X., Liang, Z., Jiang, N., Tu, N., & Wu, Z. (2022). Nitrogen deposition changes the keystone taxa of soil microorganisms and indirectly affects plant aboveground biomass in desert steppe regions. Research Square. https://doi.org/10.21203/rs.3.rs-1354926/v1
  13. Hertel, D., Harteveld, M.A., & Leuschne, C.H. (2009). Conversion of a tropical forest into agroforestry alters the fine root-related carbon flux to the soil. Soil Biology and Biochemistry, 4, 481–490. https://doi.org/10.1016/ soilbio.2008.11.020
  14. Jafari Haghighi, M. (2003). Methods of soil analysis sampling and important physical. 2nd ed., Sari: Neday Zohi, 236 p. (In Persian).
  15. Jones, R.H., Mitchell, R.J., Tevens, G.N.S., & Pecot, S.D. (2003). Controls of fine root dynamics across a gradient of gap sizes in a pine woodland. Oecologia, 134,132–143. https://doi.org/10.1007/s00442-002-1098-y
  16. Kamiab, H.R., & Shabani, N. (2019). The impact of land use/land cover change on ecosystem services in Golestan province. Advanced Environmental Sciences, 17, 43-56. (In Persian with English abstract). https://doi.org/ 29252/envs.17.2.43
  17. Kiapasha, K., Darvishsefat, A.A., Zargham, N., Attarod, P., Nadi, M., & Schaepman, M. (2017). Greening trend in the Hyrcanian forests using NOAA NADVI time series during 1981-2012. Journal of Forest and Wood Products, 70, 409-420. (In Persian with English abstract)
  18. Kohestani, N., Rastgar, S., Heydari, G., Shetaee Jouibary, S., & Amirnejad, H. (2021). Monitoring the spatial distribution of soil carbon sequestration during four decades of rangeland cover changes (Case study: Nourroud watershed, Mazandaran province). Rangeland Journal, 15, 344-356. (In Persian with English abstract). https://doi.org/10.1007/s10668-023-03203-2
  19. Kooch, Y., Heidari, F., Haghverdi, K., Gómez-Brandón, M., & Kartalaei, Z.M. (2024a). The type of land cover and management affect differently soil functional indicators in a semi-arid ecosystem. Applied Soil Ecology, 202, 105553.‏ https://doi.org/10.1016/j.apsoil.2024.105553
  20. Kooch, Y., Heidari, F., Gómez-Brandón, M., & Meurer, K.H. (2024b). Restoration of soil multifunctional indicators requires more than thirty years in degraded shrubland of a semi-arid mountainous ecosystem. Journal of Environmental Management, 371,https://doi.org/10.1016/j.jenvman.2024.123140
  21. Kooch, Y., Rostayee, F., & Hosseini, S.M. (2016). Effects of tree species on topsoil properties and nitrogen cycling in natural forest and tree plantations of northern Iran. Catena, 144, 65-73.‏ https://doi.org/10.1016/j.catena. 05.002
  22. Kooch, Y., Tavakoli, M., & Akbarinia, M. (2018). Tree species could have substantial consequences on topsoil fauna: a feedback of land degradation/restoration. European Journal of Forest Research, 137, 793-805. https://doi.org/10.1007/s10342-018-1140-1
  23. Košanin, O., Govedar, Z., Ljubičić, J., & Nešić, M. (2023). The importance of forests in the environment. n: Ilić P, Govedar Z, Pržulj N (eds) Environment. Academy of Sciences and Arts of the Republic of Srpska, Banja Luka, Monograph LV:579–621. https://doi.org/10.7251/EORU2309579K
  24. Leuschner, C., & Hertel, D. (2003). Fine root biomass of temperate forests in relation to soil acidity and fertility, climate, age and species. Prog Botany, 64, 405–438. https://doi.org/10.1007/978-3-642-55819-1_16
  25. Ling, N., Sun, Y., Ma, J., Guo, J., Zhu, P., Peng, C., & Shen, Q. (2014). Response of the bacterial diversity and soil enzyme activity in particle-size fractions of Mollisol after different fertilization in a long-term experiment. Biology and Fertility of Soils, 50, 901-911. https://doi.org/10.1007/s00374-014-0911-1
  26. Ma, Y.Z., Zhong, Q.L., Jin, B.J., Lu, H.D., Guo, B.Q., Zheng, Y., Li, M., & Cheng, D.L. (2015). Spatial changes and influencing factors of fine root carbon, nitrogen and phosphorus stoichiometry of plants in China. Chinese Journal of Plant Ecology, 39, 159-167. https://doi.org/10.17521/cjpe.2015.0015
  27. Maharjan, M., Sanaullah, M., Razavi, B.S., & Kuzyakov, Y. (2017). Effect of land use and management practices on microbial biomass and enzyme activities in subtropical top-and sub-soils. Applied Soil Ecology, 113, 22-28.‏ https://doi.org/10.1016/j.apsoil.2017.01.008
  28. Martinez-Salgado, M.M., Gutiérrez- Romero, V., Jannsens, M., & Ortega- Blu, R. (2010). Biological soil quality indicators: a review. Current Research, Technology and Education Topics in Applied Microbiology and Microbial Biotechnology, 1, 319-328.
  29. Moghimian, N., Hosseini, S.M., Kooch, Y., & Darki, B.Z. (2017). Impacts of changes in land use/cover on soil microbial and enzyme activitiesCatena, 157, 407-414. https://doi.org/10.1016/j.catena.2017.06.003
  30. Mohmedi Kartalaei, Z., Kooch, Y., & Dianati Tilaki, Q. (2024). Biogeochemical cycling of carbon and nitrogen in wooded and non-wooded lands of Kojur region, Nowshahr. (doctoral dissertation). Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, 152 pages. (In Persian with English abstract). https://doi.org/10.1016/j.apsoil.2025.106289
  31. Moscatelli, M.C., Lagomarsino, A., Angelis, P.D., & Grego, S. (2005). Seasonality of soil biological properties in a poplar plantation growing under elevated atmospheric Co Applied Soil Ecology, 30, 162-173. https://doi.org/ 10.1016/j.apsoil.2005.02.008
  32. Nadelhoffer, K.J., & Raich, J.W. (1992). Fine root production estimates and belowground carbon allocation in forest ecosystems. Ecology, 73, 1139–1147. https://doi.org/10.2307/1940664
  33. Neatrour, M.A., Jones, R.H., & Golladay, S.W. (2005). Correlations between soil nutrients availability and fine- root biomass at two spatial scales in forested wetlands with contrasting hydrological regimes. NRC Research Press, 35, 2934-2941. https://doi.org/10.1139/x05-217
  34. Pang, L. (2009). Microbial removal rates in subsurface media estimated from published studies of field experiments and large intact soil cores. Journal of Environmental Quality, 38, 1531-1559. https://doi.org/10.2134/jeq2008.0379
  35. Pransiska, Y., Triadiati, T., Tjitrosoedirjo, S., Hertel, D., & Kotowska, M.M. (2016). Forest conversion impacts on the fine and coarse root system, and soil organic matter in tropical lowlands of Sumatera (Indonesia). Forest Ecology and Management, 379, 288–298. https://doi.org/10.1016/j.foreco.2016.07.038
  36. Parkinson, J.A., & Allen, S.E. (1975). A wet oxidation procedure suitable for the determination of nitrogen andmineral nutrients in biological material. Communications in Soil Science and Plant Analysis, 6, 1–11. https://doi.org/10.1080/00103627509366539
  37. Silva, V., Mol, H.G., Zomer, P., Tienstra, M.C., Ritsema, J., & Geissen, V. (2019). Pesticide residues in European agricultural soils–A hidden reality unfolded. Science of the Total Environment, 653, 1532-1545. https://doi.org/10.1016/j.scitotenv.2018.10.441
  38. Singha, D., Brearley, F.Q., & Tripathi, S.K. (2020). Fine root and soil nitrogen dynamics during stand development following shifting agriculture in Northeast India. Forests, 11, 123-142. https://doi.org/10.3390/f11121236
  39. Taati, S., Matinizadeh, M., Sagheb-Talebi, Kh., Rahmani, Kh., & Habashi, H. (2016). The role of canopy gap size and light intensity on soil phosphatase enzyme activity in Beech forest (Case study: Langa-Kladresht). Iranian Journal of Plant Research, 29, 532-539. (In Persian with English abstract)
  40. Tamooh, F., Huxhamd, M., Karachi, M., MencucciniJ, M., Kairo, G., & Kirui, B. (2008). Below-ground root yieldand distribution in natural and replanted mangrove forests at Gazi bay, Kenya. Forest Ecology and Management, 256, 1290–1297. https://doi.org/10.1016/j.foreco.2008.06.026
  41. Van der Heijden, M.G.A., Bardgett, R.D., & van Straalen, N.M. (2008). The unseen majority: Soil microbes as drivers of plant diversity and productivity in terrestrial ecosystems. Ecology Letters, 11, 296–310. https://doi.org/ 1111/j.1461-0248.2007.01139.x
  42. Varesteh Khanlari, , Golchin, A., & Mousavi Cooper, S.A. (2020). Effect of land use change and land reclamation on some qualitative characteristics and activity of some enzymes in the soil. Iranian Journal of Soil and Water Research, 51, 1055-1068. (In Persian with English abstract)
  43. Wright, A.J., Barry, K.E., Lortie, C.J., & Callaway, R.M. (2021). Biodiversity and ecosystem functioning: Have our experiments and indices been underestimating the role of facilitation? Journal of Ecology, 109, 1962-1968. https://doi.org/10.1111/1365-2745.13665
  44. Yang, L.L., Zhang, F.S., Mao, R.Z., Ju, X.T., Cai, X.B., Lu, Y.H. (2008). Conversion of natural ecosystems to cropland increases the soil net nitrogen mineralization and nitrification in Tibet. PedospHere, 18, 699–706. https://doi.org/10.1016/s1002-0160(08)60065-x
  45. Yang, Y.S., Guo, J.F., Chen, G.S., He, Z.M., & Xie, J.S. (2003). Effects of slash burning nutrient removal and soil fertility in Chinese fir and evergreen broadleaved forests of mid-subtropical China. Pedosphere, 13, 87–96. https://doi.org/10.1016/s1002-0160(06)60026-x
  46. Yuan, Z.Y., & Chen, H.Y.H. (2010). Fine root biomass, production, turnover rates, and nutrient contents in Boreal forest ecosystems in relation to species, climate, fertility, and stand age: Literature Review and Meta-Analyses. Critical Reviews in Plant Sciences, 29, 204–221. https://doi.org/10.1080/07352689.2010.483579
  47. Yuan, Z.Y., Chen, H.Y., & Reich, P.B. (2011). Global-scale latitudinal patterns of plant fine-root nitrogen and phosphorus. Nature Communications, 2, 12-19. https://doi.org/10.1038/ncomms1346
  48. Zarafshar, M., Matinizadeh, M., Rousta, M.J., Bordbar, S.K., Kooch, Y., Negahdarsaber, M.R., Abbasi, A., & Enayati, K. (2019). The impact of forest degradation and land use change on some soil biological indices (case study: Persian oak (Quercus brantii Lindl) forests in Fars province). Journal of Plant Ecosystem Conservation, 7, 319-332. (In Persian with English abstract). https://doi.org/10.1016/j.apsoil.2020.103536
  49. Zeng, D.H., Hu,Y.L., Chang, S.X., & Fan, Z.P. (2009). Land cover change effects on soil chemical and biological properties after planting Mongolian pine (Pinus sylvestris mongolica) in sandy lands in Keerqin, northeastern China. Plant and Soil, 317, 121-133. https://doi.org/10.1007/s11104-008-9793-z
  50. Zhao, L., Jia, K., Liu, X., Li, J., & Xia, M. (2023). Assessment of land degradation in Inner Mongolia between 2000 and 2020 based on remote sensing data. Geography and Sustainability, 4, 100-111. https://doi.org/10.1016/ geosus.2023.01.003
  51. ‏Zhao, W., Hua, T., Meadows, M. E., & Pereira, P. (2021). Degradation debts accounting: A holistic approach towards land degradation neutrality. Global Change Biology, 27, 5411-5413. https://doi.org/10.1111/gcb.15855
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Volume 40, Issue 1 - Serial Number 105
July and August 2026
Pages 109-89

  • Receive Date 10 February 2026
  • Revise Date 25 May 2026
  • Accept Date 01 June 2026
  • First Publish Date 01 June 2026