Effects of Soil and Topography Variables on Canopy Cover of Dorema ammoniacum D.Don. in Soltan Mohammad Rangeland, Sabzevar, Iran
Authors
Abstract
Environmental factors have huge impact on yield and distribution of plant species. For this purpose, the response of Dorema ammoniacum (Apiaceae( canopy cover to some environmental factors was investigated in its natural habitat in south of Sabzevar, Iran in 2018-2020. Generalized Additive Model (GAM) was used to investigate the response of this species to soil and topography factors. The results showed that the edaphic and physiographic factors of the habitat had significant effects on the canopy size of D. ammoniacum. Environmental factors such as sand, litter, organic matter, lime, pH, N, P, K and altitude followed a monotonic increase model in response of canopy size. So, by increasing these factors, the canopy size of D. ammoniacum increased. In contrast, the response of canopy cover of this species to the gradient of clay, slope, EC, and SAR was a monotonic decrease model so that by increasing of these factors, the canopy percentage of D. ammoniacum was decreased. Results of the soil study showed that the plant is principally distributed on sandy loam and loamy sand soils. The reaction pattern of D. ammoniacum canopy cover in confronting with the gradient of silt, bare soil, and stone and gravel followed unimodal and the optimal level for them was 1%, 30% and 1%, respectively. Generally, investigation of D. ammoniacum canopy reaction to gradient of some environmental factors gave profitable data for characterizing the ecological demands of this plant. In other words, awareness of the impact of environmental factors on D. ammoniacum canopy cover can give range managers good information to recognize arable lands for cultivating this important species and recovering its destroyed habitats.
Keywords
References
Akaike, H. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723.
Alavi, S. J., Nouri, Z. and Zahedi Amiri, GH. 2017. The response curve of beech tree (Fagus orientalis lipsky) in relation to environmental variables using generalized additive model in Khayroud forest, Nowshahr. Journal of Wood and Forest Science and Technology, 24(1), 29-42. (In Persian).
Amiri, M. S., Joharchi, M. R. 2016. Ethno botanical knowledge of Apiaceae family in Iran: A review. Avicenna Journal of Phytomedicine, 6(6), 621-635.
Ardekani, M. R. 2009. Ecology. Tehran University publication, Tehran, Iran, 331 pp. (In Persian).
Arzani, H., Abedi, M. 2015. Rangeland assessment, vegetation measurement. Vol 2. Tehran University. Tehran, Iran, 305pp. (In Persian).
Bakkenes, M., Alkemade, J. R. M., Ihle, F., Leemans, R. and Latour, J. B. 2002. Assessing the effects of forecasted climate change on the diversity and distribution of European higher plants for 2050. Global Change Biology, 8, 390–407.
Berg, A., Gärdenfors, U. and Von Proschwitz, T. 2004. Logistic regression models for predicting occurrence of terrestrial mollusks in southern Sweden-importance of environmental data quality and model complexity. Ecography, 27, 83–93.
Borcard, D., Legendre, P. and Drapeau, P. 1992. Partialling out the spatial component of ecological variation. Ecology, 73, 1045-1055.
Cardei, P., Valdut, V., Augustina, P., Gageanu, I., Cujbescu, D., Bordean, D.M., Ungureanu, N., Ipate, G. and Diana Cristea, O. 2021. Mathematical Model to Simulate the Transfer of Heavy Metals from Soil to Plant. Sustainability, 13(11), 57-61.
Dashti, M., Kafi, M., Astaraei, A. and Zabihi, H. 2018. Investigation of yield and yield components response of Salvia leriifolia Benth. to the biological and organic Fertilizers. Arznei Gewurzpfla, Journal of Medicinal and Spice Plants, 22(2), 84–90.
Dashti, M., Fayaz, M. and Hosseini Bamrood, Gh. 2020. Suitable season and rangeland planting
method of Onobrychis chorassanica Bunge. In summer rangeland of Khorasan-e-Razavi. Iranian Journal of Rangeland and Desert Research, 27(4), 891-903. (In Persian).
Dashti, M., Mirdavoudi, H., Ghasemi Arian, A. and Azizi, N. 2021. Effects of topography and soil variables on abundance of Onobrychis chorassanica Bunge. in Kardeh and Kurtian rangelands, Mashhad, Iran. Journal of Rangeland Science, 11(3), 283-300.
Delnavazi, M.R., Tavakol, S., Rustaie, A., Batooli, H. and Yassa, N. 2014. Antioxidant and antibacterial activities of the essential oils and extracts of Dorema ammoniacum roots and aerial parts. Research Journal of Pharmacognosy (RJP), 1(4), 11-18.
Engler, R., Guisan, G. and Rechsteiner, L. 2004. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal of Applied Ecology, 4, 263–274.
Esfanjani, J., Zare Chahouki, M. A., Rouhani, H., Esmaeili, M. M. and Behmanesh, B. 2017. Suitability habitat modelling species using Ecological Niche Factor Analysis (ENFA) in rangelands Chaharbagh of Golestan province, Iran. Iranian Journal of Range and Desert Research, 23(3), 516-526. (In Persian).
Feizi, M., Khodagholi, K., Saeedfar, M. and Shahmoradi, A. 2003. Autecology of Eurotia ceratoides in Esfahan province. Iranian Journal of Rangeland and Desert Research, 10(4), 378-407. (In Persian).
Ghasemi Arian, A. 1994. Investigation of ecological needs of Dorema ammoniacum and the need to preserve and reproduce it as a medicinal, industrial and forage species in southwest of Sabzevar. MS Dissertation. Tehran University. Iran. (In Persian).
Ghasemi Arian, A. 2016. Effect of land management on ecological characteristics of Dorema ammoniacum D.Don, PhD Dissertation, College of Agriculture, Ferdowsi University, Mashhad, Iran. (In Persian).
Gholami, B. A., Askarzadeh, M. A., Saghafi-Khadem, F. and Hoseini-Bamrood, G. H. 2002. Study of cultivation and domestication of two medicinal and industrial species (Kendel and Angoozeh) in Khorasan. Final report of research. project NO: 80-0311009909-04. (In Persian).
Gholami, B. and Faravani, M. 2015. The possibility of crop cultivation and utilization of edible gum from herb (Dorema ammoniacum D.Don) in dryland farming. Journal of Agricultural Science, 60, 369-380.
Godefroid, S. and Koedam, N. 2004. Interspecific variation in soil compaction sensitivity among
forest floor species. Biological Conservation, 119(2), 207-217.
Guisan, A. and Zimmermann, N. E. 2000. Predictive habitat distribution models in ecology. Ecological Modelling, 135, 147-186.
Guisan, A., Edwards, T. C. Jr. and Hastie, T. 2002. Generalized linear and generalized additive models in studies of species distributions: setting the scene. Ecological Modeling, 157, 89–100.
Heidari Sharifabad, H. and Torknejad, H. 2000. Annual Medicago species. Research Institute of Forests and Rangelands., 167 pp. (In Persian).
Irvani, N., Solouki, M., Omidi, M., Zare, A.R., and Shahnazi, S. 2010. Callus induction and plant regeneration in Dorema ammoniacum D.Don, an endangered medicinal plant. Plant cell, tissue and organ culture. Journal of Advances in Environmental Biology, 100(3), 293-299.
Khalasi Ahvazi, L., Zare Chahouki, M. A., Azarnivand, H. and Soltani Gord faramarzi, M. 2011. Habitat modeling of Eurotia ceratoides (L.) using the methodology of Ecological Niche Factor Analysis (ENFA) in the northeastern rangelands of Semnan. Rangeland, 5(4), 362-373. (In Persian).
Mirdavoodi, H. R. 2013. Disturbance effects on plant diversity and invasive species in western oak forest communities of Iran (Case study: Dalab Forest, Ilam). Ph.D. dissertation, Tehran University. Tehran, Iran. (In Persian).
Mozaffarian, V. 2012. Identification of medicinal and aromatic plants of Iran. Farhang Moaser Publishers, Tehran. Iran. (In Persian).
Peterson, A. T. 2001. Predicting species’ geographic distributions based on ecological niche modeling. Condor, 103, 599–603.
Pickett, S. T. A. and White, P.S. 1985. The ecology of natural disturbance and patch dynamics. 22nd edition. Academic press, USA, Pages 472.
Rajaei, P. and Mohamadi, N. 2012. Ethnobotanical Study of Medicinal Plants of Hezar Mountain Allocated in South East of Iran. Iranian Journal of pharmaceutical research, 11(4), 53-67.
Rangel, T. F. L. V. B., Diniz-Filho, J. A. F. and Bini, L. M. 2006. Towards an integrated computational tool water use efficiency and sunflower growth as influenced by irrigation bitumen mulch and plant density. Soil Technology, 3(1), 33-44.
Robertson, G. P., Wedin, D. A., Groffman, P. M., Blair, J. M., Holland, E. A., Harris, D. and Nadelhoffer, K. J. 1999. Soil carbon and nitrogen availability: nitrogen mineralization, nitrification, and soil respiration potentials. Pages 258-271 in Robertson. (Eds.) Standard Soil Methods for Long-Term Ecological Research. Oxford University Press, New York.
Robertson, M. P. 2003. Comparing models for predicting species’ potential distributions: a case study using correlative and mechanistic predictive modeling techniques. Ecological Modelling, 164, 153–167.
Salehi, M., Vazirinasab, H., Khoshgam, M. and Rafati, N. 2012. Application of the generalized additive model in determination of the retinopathy risk factors relation types for Tehran diabetic patients. Razi Journal of Medical Sciences, 19(97), 1-9. (In Persian).
Shafiee-Nick, S. and Ejtehadi, H. 2014. A study on autecology of Dorema kopetdaghense pimenov (Apiaceae) in Khorasan Razavi province. In: Proceedings of 3rd National Congress on Medicinal Plants 14, 15 May 2014, Mashhad, Iran, 502-506 pp. (In Persian).
Siahmansour, R., Ebrahimi, A., Chamanpira, R., Zandi Esfahan, E. and Ramak, p. 2020. Determination of Allowable Use and Grazing Tolerance of Picris strigosa (Case Study: Blooman rangelands, Lorestan Province, Iran). Journal of Rangeland Science, 12(3), 214-227.
Ter Braak, C. J. F. and Smilauer, P. 2002. Canoco, reference manual and Cano Draw for Windows user’s guide: software for canonical community ordination (ver. 4.5). Microcomputer Power, Ithaca.
Tomy, L., Chesneau, C. and Madhav, A. 2021. Statistical Techniques for Environmental Sciences: A Review. Mathematical and Computational Applications, 26(74), 1-31.
Traoré, S., Zerbo, L., Schmidt, M. and Thiombiano, L. 2012. Acacia communities and species responses to soil and climate gradients in the Sudano-Sahelian zone of West Africa. Journal of Arid Environments, 87, 144-152.
Vaziri Nasab, H., Salehi, M., Khoshgam, M. and Rafati, N. 2013. Comparison of generalized additive models and generalized linear models for estimating the retinopathy risk factors for Tehran diabetic patients. Journal of North Khorasan University of Medical Sciences, 5(4), 849-858. (In Persian).
Wahba, S. A., Abdel Rahman S. I., Tayel, M. Y. and Matyn, M. A. 1990. Soil moisture, salinity, water use efficiency and sunflower growth as influenced by irrigation, bitumen mulch and plant density. Soil Technology, 3(1), 33-44.
Zare, M., Ghorbani, A., Moameri, M. and Piri Sahragard, H. 2021. Habitat Suitability of Dorema ammoniacum D. Don. Using Maximum Entropy and Logistic Regression Modeling in Central Region of Iran. Ecopersia, 10(1), 13-25.
Zargari, A. 1992. Medical plants, University of Tehran, Tehran, Iran. (In Persian).
