Investigating the Impact of Some Habitat Characteristics on Distribution of Stachys pilifera Benth Using the BMLR Model in Iran
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Research Division of Natural Resources, Kohgiluyeh and Boyerahmad Agricultural and Natural Resources Research and Education Center, AREEO, Yasooj, Iran
Department of Range and Watershed Management, Faculty of Agricultural Sciences, Fasa University, Fasa, Iran
Department of Statistics, Faculty of Science, Fasa University, Fasa, Iran
Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran
Department of Agronomy, Arsanjan Branch, Islamic Azad University, Arsanjan, Iran
Faculty of Natural Resources, University of Jiroft, Jiroft, Iran
Esfandiar Jahantab   

Department of range and Watershed Management, Faculty of Agricultural sciences, Fasa University , Fasa, Iran, Department of range and Watershed Management, Faculty of Agricultural sciences, University of Fasa, , 7461781189 Fasa, Iran
Submission date: 2017-07-06
Final revision date: 2017-10-28
Acceptance date: 2017-11-02
Online publication date: 2018-05-10
Publication date: 2018-05-30
Pol. J. Environ. Stud. 2018;27(5):2171–2178
Stachys pilifera is an endemic plant to Iran. The main purpose of this study was to investigate the impacts of some habitat characteristics on the distribution of S. pilifera using the BMLR model in Kohgiluyeh and Boyer-Ahmad Province, Iran. Tow transects were randomly established in each region. 10 quadrats sized 1 x 1 m2 were established along the transect. In each plot, canopy cover (%) of S. pilifera was recorded. 25 soil samples were gathered in the region to evaluate soil characteristics. The associated pixel of each plot was extracted and added to a prepared spreadsheet of a field database. The data gathered from experiments were fed into the computer item by item according to their own values. To determine the effect of environmental factors on the distribution of S. pilifera species, the researchers run a set of backward multiple linear regressions. The results of MLR to investigate the significance of was not significant (P-Value >0.05). Then the most insignificant term in the first run (silt) is removed and the operation run again. After removing silt, the results of the BMLR model are seen by considering the effect of other factors, and some of terms are insignificant again. The process is continued step by step to the point that there are only significant terms. Results showed that the effects of rain, sand, P, Fe, Zn, Mn, and evaporation on the distribution of S. pilifera species were significant. Rain, P, and Fe have positive effects (positive coefficient), while sand, Zn, Mn, and evaporation have negative effects (negative coefficient). Results showed that the BMLR appropriately modeled the canopy cover of S. pilifera based on RMSE, R2, and , which were 0.999, 0.998, and 2.1395, respectively.