Investigation of Some Ecological Characteristics of Artemisia sieberi Besser. and Estimation of its Density by Neural Networks in Roodab Section of Sabzevar

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GHASEMI ARIAN A.; FAZELI KAKHKI S.F.; ROHANI H.

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Journal: Ecophytochemistry journal of Medicinal Plants Year:2020 | Volume:7 | Issue:4 (28) Page(s): 97-109

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Title

Investigation of Some Ecological Characteristics of Artemisia sieberi Besser. and Estimation of its Density by Neural Networks in Roodab Section of Sabzevar

Author(s)

GHASEMI ARIAN A. | FAZELI KAKHKI S.F. | ROHANI H. | Issue Writer Certificate

Keywords

Artemisia densityQ1

AutecologyQ1

Degraded rangelandsQ2

Neural networksQ1

Abstract

Artemisia sieberi Besser. (Asteraceae) is a medicinal plant belongs to flora of Iran, which is used in treatment of parasitic and infectious diseases. In recent years, many habitats parts of this plant have been destroyed by human activities. The purpose of this study was to evaluate the autecological characteristics and estimation of Artemisia density in Roodab region of Sabzevar in 2017. At first the A. sieberi habitats was determined on satellite images, then ecological information including topography, climate, soil, geology and phenology was collected. In the next step, Artemisia densities in Degraded rangelands were investigated by using neural network model. For this purpose, 70 random soil samples consisting of independent variables (texture, EC, SAR, pH, N, P, K, cations, organic matter and lime percentage) as well as dependent variable (plant density) were used to construct the model. The results were showed that A. sieberi prefers altitudes of of 1400 to 1800 m, 0% to 12% slope, 160 to 200 mm rainfall, and loamy to calcareous loam soils with low salinity. plant vegetative activity begins in late March and seed ripening occurs early in December. The results of model prediction indicated that the lowest plant density with 0. 11 / m2 was related to the plots that were 40 years under plowing stress and the highest density with 0. 4 /m2 was related to the plots after two years of degradation. The regression model (R2) showed that 95% of independent variables were involved in determining plant density. Model prediction also indicated that the lowest density by 0. 11 and 0. 4 plant per m2 belonged to rangelands have been plowed more than 40 years and which lasted two years from their destruction, respectively. Regression model (R2) also showed that independent variables have a 95% effect on the determination of A. sieberi density.

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APA: Copy

GHASEMI ARIAN, A., FAZELI KAKHKI, S.F., & ROHANI, H.. (2020). Investigation of Some Ecological Characteristics of Artemisia sieberi Besser. and Estimation of its Density by Neural Networks in Roodab Section of Sabzevar. ECO-PHYTOCHEMICAL JOURNAL OF MEDICAL PLANTS, 7(4 (28) ), 97-109. SID. https://sid.ir/paper/380144/en

Vancouver: Copy

GHASEMI ARIAN A., FAZELI KAKHKI S.F., ROHANI H.. Investigation of Some Ecological Characteristics of Artemisia sieberi Besser. and Estimation of its Density by Neural Networks in Roodab Section of Sabzevar. ECO-PHYTOCHEMICAL JOURNAL OF MEDICAL PLANTS[Internet]. 2020;7(4 (28) ):97-109. Available from: https://sid.ir/paper/380144/en

IEEE: Copy

A. GHASEMI ARIAN, S.F. FAZELI KAKHKI, and H. ROHANI, “Investigation of Some Ecological Characteristics of Artemisia sieberi Besser. and Estimation of its Density by Neural Networks in Roodab Section of Sabzevar,” ECO-PHYTOCHEMICAL JOURNAL OF MEDICAL PLANTS, vol. 7, no. 4 (28) , pp. 97–109, 2020, [Online]. Available: https://sid.ir/paper/380144/en

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