ORIGINAL RESEARCH
Investigating the Impact of Some Habitat
Characteristics on Distribution of Stachys pilifera
Benth Using the BMLR Model in Iran
More details
Hide details
1
Research Division of Natural Resources, Kohgiluyeh and Boyerahmad Agricultural and Natural Resources
Research and Education Center, AREEO, Yasooj, Iran
2
Department of Range and Watershed Management, Faculty of Agricultural Sciences, Fasa University, Fasa, Iran
3
Department of Statistics, Faculty of Science, Fasa University, Fasa, Iran
4
Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO),
Tehran, Iran
5
Department of Agronomy, Arsanjan Branch, Islamic Azad University, Arsanjan, Iran
6
Faculty of Natural Resources, University of Jiroft, Jiroft, 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
Corresponding author
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
Pol. J. Environ. Stud. 2018;27(5):2171-2178
KEYWORDS
TOPICS
ABSTRACT
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.