Influence of Different Land Uses on Some Soil Microbial Indices (Case Study: Lasjerd, Semnan Province, Iran)

Document Type : Original Article

Authors

1 MSc. Student of Desert studies Faculty, Semnan University, Semnan, Iran.

2 Assistant professor, Desert studies faculty, Semnan University, Semnan, Iran.

3 Assistant Professor, Rangeland Research Division, Research Institute of Forests and Rangelands. Tehran, Iran.

4 Associate professor, Desert studies faculty, Semnan University, Semnan, Iran.

Abstract

Introduction
Widespread lands in arid, semi-arid, or dry sub-humid areas of the world have been influenced by the consequences of the land degradation resulting from natural factors and human activities like agriculture, changes in the land use. A large part of Iran is located in arid and semi-arid regions. The degradation of soil can be greatly impacted by agricultural activities, incorrect management, and improper land management. The most suitable solution to reduce the negative effects of land use change on the desert is to choose the best type of land management with the least degradation. The fragile nature of these ecosystems and the large area of arid and semi-arid areas of the country require proper and accurate management. Soil is an important and valuable terrestrial source of OC storage, which plays a significant role in the global C cycle by storing about 1500 billion tons of C. The total C in microbial biomass is 1.4% of the total SOC. demonstrating the significant contribution of this sector to the global C cycle. Land use change can be one of the most important factors of land degradation that affects the quality and quantity of soil organic C, and soil characteristics. The present study was done to investigate the role of different land uses including rangeland as control, abandoned land, Triticum aestivum L. cultivation, Hordeum vulgare L. cultivated lands and Medicago sativa L. cultivation, on some soil microbial indices such as basal soil respiration, substrate induced respiration, microbial biomass carbon, microbial biomass nitrogen, microbial quotient, metabolic coefficient and carbon access index, in Lasjerd , Semnan province in two depths  of 0 to 10 cm and 10 to 30 cm.
 
Material and Methods
The initial step was to select various treatments that included rangeland as control treatment, abandoned land, Triticum aestivum cultivation, Hordeum vulgare cultivated lands and Medicago sativa cultivation. In the second step, soil sampling was performed at two depths of 0-10 and 10-30 cm in five replications. In this regard, one soil profile in the center and four other profiles were dug in the form of a cross, considering the marginal effect. The samples needed for soil biological tests were carried and stored in the refrigerator containing dry ice and biological tests were performed later. The considered factors were measured by valid scientific guidelines and methods. Data related to soil microbial properties were analyzed by a factorial test in the form of


 
a completely random design with five repetitions. All statistical computing was done using SPSS 19 software and the mean comparison tests were performed by Duncan test.
 
Results and Discussion
The results of the present study indicated that there is significant impact of the treatments on the properties studied at the two depths, at the first soil layer equals to the depth of 0 to 10 cm, basal soil respiration, substrate induced respiration, microbial biomass carbon, microbial biomass nitrogen, microbial quotient, and metabolic coefficient have been affected by different land uses, as the highest level of basal soil respiration in the abandoned land equals to 0.424 mgCO2g-1dm24h-1 and the lowest in Triticum aestivum cultivation 0.006 mgCO2g-1dm24h-1, as well as the second depth- 10 to 30 cm- basal soil respiration, microbial quotient, metabolic coefficient are affected by different types of land uses. The highest amount of metabolic coefficient was observed in abandoned lands as 0.068 mgCO2-Cg-1MBCday-1 and the lowest was found in Medicago sativa cultivation lands equals to 0.013 mgCO2-Cg-1MBCday-1. Soil microbial indices are sensitive to land use changes. The first top 10 cm of the soil studied, has been most affected by these indices.
Due to the failure of soil pedons, the change in land use from rangeland to agricultural lands increases the speed of litter decomposition and decreases the storage of soil nutrients, the microbial population, composition and activity of the soil as an indicator of soil quality, health and fertility. But techniques of no-tillage or minimal-tillage, as well as the principles of sustainable agriculture (such as returning the residues to the soil, proper use of chemical fertilizers, using biological fertilizers, and biological control of pests) cause the destructive process of the biological indices to be adjusted and get balanced in a shorter time period with environment. Considering the changes in the biological indicators of the soil, which have caused the destruction of the cultivated lands in the studied area, it is suggested to rehabilitate the bare lands with native rangeland species of the region, such as Artemisia sieberi Besser, Zygophyllum eurypterum Boiss. & Buhse, and Astragalus tribuloides Delile. Range management plans are the only way to allocate rangelands in the region, and a detailed survey of rangelands in the region is necessary. To prevent land use change, it is important to address the multi-purpose uses of rangelands and the determination of economic units to support the lives of beneficiary households.

Keywords

Main Subjects


  1. Anderson, T.H. (2003). Microbial eco-physiological indicators to assess soil quality. Agriculture, Ecosystems and Environment, 98(1-3), 285–293. DOI: https://doi.org/10.1016/S0167-8809(03)00088-4
  2. Bottomley, P.J., Scott Angle, J. & Weaver, R. W. (2018). Methods of soil analysis, Part 2: microbiological and biochemical properties. USA: Soil Science Society of America.
  3. Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., He, C., Han, G., Peng, Sh., Lu, M., Zhang, W., Tong, X. & Mills, J. (2015). Global land cover mapping at 30m resolution: A POK-based operational approach. ISPRS Photogrammetry and Remote Sensing, 103, 7–27. DOI: https://doi.org/10.1016/j.isprsjprs.2014.09.002
  4. Datta, A., Basak, N., Chaudhari, S.K., & Sharma, D.K. (2015). Soil properties and organic carbon distribution under different land uses in reclaimed sodic soils of North-West India. Geoderma Regional, 4, 134-146. DOI: https://doi.org/10.1016/j.geodrs.2015.01.006
  5. Fernández-Romero, M.L., Lozano-García, B., & Parras-Alcántara, L. (2014). Topography and land use change effects on the soil organic carbon stock of forest soils in Mediterranean natural areas. Agriculture, Ecosystems & Environment, 195, 1–9. DOI: https://doi.org/10.1016/j.agee.2014.05.015
  6. Fu, C., Chen, Z., Wang, G., Yu X., & Yu, G. (2021). A comprehensive framework for evaluating the impact of land use change and management on soil organic carbon stocks in global drylands. Current Opinion in Environmental Sustainability, 48, 103–109. DOI: https://doi.org/10.1016/j.cosust.2020.12.005
  7. Gerdemann, J.W. & Nicolson, T.H. (1963). Spores of Mycorrhizal Endogone Species Extracted from Soil by Wet Sieving and Decanting. Transactions of the British Mycological Society, 46(2), 235-244. DOI: https://doi.org/10.1016/S0007-1536(63)80079-0
  8. Ghimire, R., Norton, J.B., Stah, P.D., & Norton, U. (2014). Soil microbial substrate properties and microbial community responses under irrigated organic and reduced-tillage crop and forage production systems. Plos One, 9(8), 1-14. DOI: https://doi.org/10.1371/journal.pone.0103901
  9. Hamilton, S.E., & Casey, D. (2016). Creation of a high spatio‐temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC‐21). Global Ecology and Biogeography, 25, 729–738. DOI: https://doi.org/10.1111/geb.12449
  10. Hamilton, S.E., & Friess, D.A. (2018). Global carbon stocks and potential emissions due to mangrove deforestation from 2000 to 2012. Nature Climate Change, 8, 240–244. DOI: https://doi.org/10.1038/s41558-018-0090-4
  11. Jagadamma, S., Mayes, M.A., Steinweg, J.M., & Schaeffer, S.M. (2014). Substrate quality alters the microbial mineralization of added substrate and soil organic carbon. Biogeosciences, 11(17), 4665–4678. DOI: https://doi.org/10.5194/bg-11-4665-2014
  12. Jenkinson, D. S., & Ladd, J. N. (1981). Microbial biomass in soil: measurement and turnover. Soil biochemistry, 5(1), 415-471.
  13. Joneidi, H., Sadeghipour, A., Kamali, N., & Nikoo, S. (2015). Effects of land use change on soil carbon sequestration and emissions (case study: arid rangelands of Eivanakei, Semnan province). Natural Environment, 68(2), 191-200. DOI: 22059/JNE.2015.54947 [In Persian]
  14. Kamali, N., Eftekhari, A., & Ashoori, P. (2020). Protection Levels and Distribution of Organic Carbon in Size Fractions of Soil (case of: Salook, North Khorasan). Rangeland, 14(1), 85-95. DOI: 1001.1.20080891.1399.14.1.8.6 [In Persian]
  15. Kamali, N., Eftekhari, A., Souri, M., Nateghi, S., & Bayat, M. (2020). Grazing impact on vegetation cover and some soil factors (Case study: Houz-e-Soltan Lake, Qom). Rangeland, 14(3), 490-499. DOI: 1001.1.20080891.1399.14.3.10.2 [In Persian]
  16. Kamali, N., Saberi, M., Sadeghipour, A., & Tarnian, F. (2020). An Evaluation on Impacts of Different Land Uses and Land Covers on Emission of Carbon Dioxide from the Soil (Case Study: Biabanak, Semnan Province). Ecopersia, 8(3), 155-161. DOI: 1001.1.23222700.2020.8.3.5.8 [In Persian]
  17. Kamali, N., & Sadeghipour, A. (2017). Determining the most important factors related to carbon storage in different land uses (case study: Shahriar, Iran). Watershed Management Research (Pajouhesh & Sazandegi), 29(2), 2-8. DOI: 22092/WMEJ.2016.112319 [In Persian]
  18. Kamali, N., & Sadeghipour, A. (2018). Monthly and quarterly review of carbon emission at different intensities of water erosion (Case study: Ghara aghaj basin- Isfahan province). Natural Environment,70(3), 709-717. DOI: 22059/JNE.2017.100048.695 [In Persian]
  19. Kamali, N., Siroosi, H., & Sadeghipour, A. (2020). Impacts of wind erosion and seasonal changes on soil carbon dioxide emission in southwestern Iran. Arid Land, 12, 690–700. DOI: https://doi.org/10.1007/s40333-020-0018-5
  20. Karhu, K., Auffret, M.D., Dungait, A.J. Hopkins, D.W., & Prosser J.I. (2014). Temperature sensitivity of soil respiration rates enhanced by microbial community response. Nature, 513, 81–84. DOI: https://doi.org/10.1038/nature13604
  21. Khormali F., & Shamsi, S. (2009). Micromorphology and quality attributes of the loess derived soils affected by land use change: a case study in Ghapan watershed, northern Iran. Mountain Science, 6(2), 197–204. DOI: https://doi.org/10.1007/s11629-009-1037-z
  22. Parisi, V., Menta, C., Gardi, C., Jacomini, C., & Mozzanica, E. (2005). Microarthropod communities as a tool to assess soil quality and biodiversity: a new approach in Italy. Agriculture, Ecosystems & Environment, 105(1–2), 323-333. DOI: https://doi.org/10.1016/j.agee.2004.02.002
  23. Raiesi F. (2007). The conversion of overgrazed pastures to almond orchards and alfalfa cropping systems may favor microbial indicators of soil quality in Central Iran. Agriculture, Ecosystems and Environment, 121(4), 309–318. DOI: https://doi.org/10.1016/j.agee.2006.11.002
  24. Jafari, M., Azarnivand, H., Sadeghipour, A., Kamali, N. Heidari A., & Maddah arefi, H. (2016). Effect of Different Grazing Intensities on Soil Carbon Sequestration and Nitrogen Stabilization (Case Study: Shahriar). Rangeland and Watershed management, 69(2), 427-436. DOI: https://doi.org/10.22059/jrwm.2016.61693 [In Persian]
  25. Sadeghipour, A., Kamali, N., Kamali, P., & Joneidi, H. (2014). The changes in monthly and seasonal values of carbon emission in different grazing intensities (Case study: Ghoosheh, Semnan). Rangeland and Watershed management, 67(3), 451-458. DOI: https://doi.org/10.22059/jrwm.2014.52837 [In Persian]
  26. Sadeghipour, A., Kamali, N., & Joneidi, H. (2014). Investigation of the effect of rangeland restoration and mechanical rehabilitation operations on seasonal and monthly changes in soil carbon dioxide emission rate (Case study: Sorkheh rangelands, Semnan province). Rangeland, 7(3), 88-97. [In Persian]
  27. Sattler, D., Murray, L.T., Kirchner, A., & Lindner, A. (2014). Influence of soil and topography on aboveground biomass accumulation and carbon stocks of afforested pastures in South East Brazil. Ecological Engineering, 73, 126–131. DOI: https://doi.org/10.1016/j.ecoleng.2014.09.003
  28. Su, Y.Z., Zhao, H.L., Zhang, T.H., & Zhao, X.Y. (2014). Soil properties following cultivation and non-grazing of a semi-arid sandy grassland in northern China. Soil and Tillage Research, 75, 27–36. DOI: https://doi.org/10.1016/S0167-1987(03)00157-0
  29. Tan, Z., & Lal, R. (2005). Carbon sequestration potential estimates with changes in land use and tillage practice in Ohio, USA. Agriculture, Ecosystems and Environment, 111(1-4), 140-152. DOI: https://doi.org/10.1016/j.agee.2005.05.012
  30. Walkley, A., & 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, 29–38. DOI: http://dx.doi.org/10.1097/00010694-193401000-00003
  31. Wang, T., Kang, F., Cheng, X., Han, H., & Ji, W. (2016). Soil organic carbon and total nitrogen stocks under different land uses in a hilly ecological restoration area of North China. Soil Tillage Research, 163, 176–184. DOI: https://doi.org/10.1016/j.still.2016.05.015
  32. Wardel, D.A., & Ghani, A. (1995). A critique of the microbial metabolic quotient (qCO2) as a bioindicator od disturbance and ecosystem development. Soil Biology and Biochemistry, 27(12), 1601-1610. DOI: https://doi.org/10.1016/0038-0717(95)00093-T