Relationship between Physico-Chemical Soil Properties and Drying of Coniferous Trees in the South of Tehran and Alborz by Multiple Linear Regression Models
الموضوعات : مجله گیاهان زینتیAfsoon Ahmadipour 1 , Ali Mohammadi Torkashvand 2 , Abbas Ahmadi 3 , Raheleh Ebrahimi 4
1 - Ph.D. Student, Department of Soil Science, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 - Professor, Department of Soil Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
3 - Associate Professor, Department of Soil Science, University of Tabriz, Tabriz, Iran
4 - Assistant Professor, Department of Horticultural Science and Agronomy, Science and Research Branch, Islamic Azad University, Tehran, Iran
الکلمات المفتاحية: pine, drying, MLR, Dryness, Eldarica,
ملخص المقالة :
In recent years, as a result of environmental stress, a large number of pine trees in parks and forestry in Tehran and Alborz provinces have dried up, that has conditions provided for contamination by secondary pests such as pine bark beetles (Orthotomicus erosus). In one hundred pine growing locations, three trees were randomly selected in each location, and in these locations, the average percentage of trees canopy dryness (three trees), the percentage of soil area under the trees canopy and the number of irrigations during in growing season (spring and summer) were measured; and thus the soils were sampled from the root activity zone at two depths of 0-30 and 30-60 cm. The percentage of coarse particles (> 2 mm) was measured in the soil samples after being dried in the vicinity of air, pounded and passed through a 2 mm sieve. In each soil sample, soil texture (percentage of sand, silt and clay particles), soil pH, electrical conductivity (ECe), equivalent calcium carbonate (CCE), organic matter and available concentration of sodium, potassium and phosphorus elements were measured. At a depth of 30-60 cm (subsurface soil), a soil sample was taken with a cylinder in order to measure the bulk density and soil porosity. Regression analysis was carried out using three methods: Enter, stepwise by backward and forward with 15 series of variables as input variables to estimate or predict the percentage of pine drying (dryness of tree canopy). In total, the forward stepwise regression model, with R2=0.757 and RMSE=15.02% error, the most suitable model is the most appropriate model for assessing the percentage of tree drying, with two variables, the percentage of subsurface sand of the soil (30-60 cm) and coarse material (> 2 mm) of soil surface depth (0-30 cm), a more suitable model was recognized.
Agusto, L., Jacqu, R., Binkely, D. and Rothe, A. 2002. Impact of European temperate forests on soil fertility. Annals of Forest Science, 59: 233-253.
Ahmadlou, A., Tabari, M., Rahmani, A., Yousefzadeh, H. and Yahya, K. 2008. The effect of organic matter compounds and production efficiency of Brusia and Aleppo pine seedlings. Iranian Forest Journal, 1 (4): 287-299.
Asadollahi, A., Abbaszadeh, B., Mohammadi Torkashvand, A. and Jahromi, M.G. 2022. Effect of levels and types of organic, biological, and chemical fertilizers on morphological traits, yield, and uptake rate of elements in Satureja mutica. Industrial Crops and Products, 1(181): 114763.
Azizifar, S., Abdossi, V., Gholami, R., Ghavami, M. and Mohammadi Torkashvand, A. 2022. Effect of salicylic acid and kaolin on yield, physiological traits, and fatty acid composition in olive cultivars under regulated deficiet irrigation. Acta Scientiarum Polonorum-Hortorum Cultus, 21(3): 131-140. https://doi.org/10.24326/asphc.2022.3.12
Bakhshipour, R., Ramezanpour, H. and Lashkarboluki, E.L. 2012. Studying the effect of Pinus teada and Populus sp. plantation on some forest soils properties. Iranian Journal of Forest, 4 (4): 332-321.
Balabane, M. and Plante, A.F. 2004. Aggregation and carbon storage in silty soil using physical fractiona-tion techniques. European Journal of Soil Science, 55: 415-427.
Barua, S.K. and Haque, N.S. 2013. Soil characteristics and carbon sequestration potentials of vegetation in the degraded hills of Chittagong, Bangladesh. Land Degradation and Development, 24: 63-71.
Baruch, Z. 2005. Vegetation- environment relationships and classification of the seasonal savannas in Venezuela. Journal of Flora, 200: 49-64.
Carter, M.R. and Gregorich, E.G. 2008. Soil sampling and methods of analysis. 2nd (ed). Canadian Society of Soil Science, 1262 pages.
Edburg, S.L., Hicke, J.A., Brooks, P.D., Pendall, E.G., Ewers, B.E., Norton, U., Gochis, D., Gutmann, E.D. and Meddens, A.J.H. 2012. Cascading impacts of bark beetle-caused tree mortality on coupled biogeophysical and biogeochemical processes. Frontiers in Ecology and the Environment, 10 (8): 416–424. https://doi.org/10.1890/110173
Farahmandi, S.R., Samavat, S., Mostafavi, M., Mohammadi Torkashvand, A. and Kalate Jari, S. 2022. Combined foliar-applied L-glutamic acid, nitrogen, and potassium improve plant growth, physiochemical attributes, minerals, and longevity of gerbera (Gerbera jamesonii). Journal of Plant Nutrition, 45 (7): 951-962. https://doi.org/10.1080/01904167.2021.1998526
Fayissa, A., Ababaew, A. and Chimdi, A. 2015. Effects of different land uses (forest, grazing and cultivated) on the fertility status of acidic soils of Dano district, West Shoa zone, Oromia region, Ethiopia. American-Eurasian Journal of Scientific Research, 10(4): 235-242.
Gee, G.W. and Bauder, J.W. 1979. Particle size analysis by hydrometer: A simplified method for routine textural analysis and a sensitivity test of measurement parameters. Soil Science Society of America Journal, 43(5): 1004-1007.
Gillespie, L.M., Hättenschwiler, S., Milcu, A., Wambsganss, J., Shihan, A. and Fromin, N. 2021. Tree species mixing affects soil microbial functioning indirectly via root and litter traits and soil parameters in European forests. Functional Ecology, 35(10): 2190-2204.
Gil-Sotres, F., Trasar-Cepeda, C., Leiros, M.C. and Seoane, S. 2005. Different approaches to evaluating soil quality using biochemical properties. Soil Biology and Biochemistry, 37: 877–887.
Guarin, A. and Taylor, A.H. 2005. Drought triggered tree mortality in mixed conifer forests in Yosemite National Park, California, USA. Forest Ecology and Management, 218: 229-244.
Jafari, M., Zarechahouki, M.A., Tavaili, A., Azarnivand, H. and Zahedi Amiri, GH. 2004. Effecttive environment factor in the distribution of vegetation types in Poshtkouh. Journal of Arid Environments, 56: 627- 641.
Jalali, P., Roosta, H.R., Khodadadi, M., Mohammadi Torkashvand, A. and Ghanbari Jahromi, M. 2022. Effects of brown seaweed extract, silicon, and selenium on fruit quality and yield of tomato under different substrates. Plos One, 17(12): e0277923. https://doi.org/10.1371/journal.pone.0277923
Jamshidnia, Z., Abrari Vajari, K., Sohrabi, A. and Veiskarami, G. 2016. Flora and plant species diversity in coniferous and deciduous plantations (Case study: Plantation of Remela, Lorestan). Iranian Journal of Forest and Poplar Research, 24(2): 259-249. (In Persian)
Javanmard, Z., Tabari Koochaksaraee, M. and Ahmadloo, F. 2014. Effect of osmopriming on germination and physiological qualitative characteristic of Pinus eldarica Medw. seed under drought stress. Journal of Plant Research, 27(3): 395-405.
Klute, A. 1986. Method of soil analysis. Part I: Physical and mineralogical methods. 2nd Edition, American Society of Agronomy and Soil Science Society of America, Madison, USA. https://doi.org/10.2136/sssabookser5.1.2ed.index
Mohammadi Torkashvand, A., Khanjani, H. and Sedaghat Hoor, S. 2015. The effect of cow manure compost in cultivation bed and irrigation water salinity on the growth of Strelitzia reginae. Trakia Journal of Sciences, 2: 137-142.
Mohammadi Torkashvand, A., Rahpeik, M.E., Hashemabadi, D. and Sajjadi, S.A. 2016. Determining an appropriate fertilization planning to increase qualitative and quantitative characteristics of kiwifruit (Actinidia deliciosa L.) in Astaneh Ashrafieh, Gilan, Iran. Air, Soil and Water Research, 9: 1-8.
Nouri, A., Esfandiari, M., Eftekhari, E., Mohammadi Torkashvand, A. and Ahmadi A. 2023. Development support vector machine, artificial neural network and artificial neural network – genetic algorithm hybrid models for estimating erodible fraction of soil to wind erosion. International Journal of River Basin Management. Published online: 1-10. https://doi.org/10.1080/15715124.2022.2153856.
Rasouli-Sadaghiani, M.H., Barin, M., Siavash Moghaddam, S., Damalas, C.A. and Ghodrat, K. 2018. Soil quality of an Iranian forest ecosystem after conversion to various types of land use. Environmental Monitoring and Assessment, 190 (8): 1-9.
Salehi, A., Tabari, K., Mohammadi, J. and Ali Arab, A. 2007. The effect of irrigation with urban wastewater on the soil and growth of pine trees in Tehran. Iranian Forest and Spruce Research, 16 (2): 186-196.
Seidl, R., Thom, D., Kautz, M., Martin-Benito, D., Peltoniemi, M., Vacchiano, G., Wild, J., Ascoli, D., Petr, M., Honkaniemi, J., Lexer, M.J., Trotsiuk, V., Mairota, P., Svoboda, M., Fabrika, Nagel, T.A. and Reyer, C.P.O. 2017. Forest disturbances under climate change. Nature Climate Change, 7: 395-402. https://doi.org/10.1038/nclimate3303
Sparks, D.L., Page, A.L., Helmke, P.A., Loeppert, R.H., Soltanpour, P.N., Tabatabai, M.A., Johnston, C.T. and Sumner, M.E. 1996. Methods of soil analysis. part 3: Chemical analysis. Soil Science Society of America, Inc., American Society of Agronomy, Inc. 1390 pages.
Talebi, N., Mohammadi Torkashvand, A., Pazira, E. and Esfandiari, M.A. 2022. Comparative study of the use of layered double hydroxides (LDHs) and zeolite to reduce nitrate leaching in greenhouse maize farming. Journal of Plant Nutrition, 29: 1-6.
Vesterdal, L., Clarke, N., Sigurdsson, B.D. and Gundersen, P. 2013. Do tree species influence soil carbon stocks in temperate and boreal forests? Forest Ecology and Management, 309: 4-18.
