Pak. J. Bot., 48(2): 581-588, 2016.

EFFECT OF FOREST HABITAT ON THE DISTRIBUTION OF LICHEN SPECIESIN ŞERIF YÜKSEL RESEARCH FOREST (BOLU, TURKEY)

ORHAN SEVGİ^1* GÜLŞAH ÇOBANOĞLU²AND ECE SEVGİ³

Abstract: The paper presents the results of a study evaluating impact of habitat factors on distribution of lichen species in a forest ecosystem, in Şerif Yüksel Research Forest (Bolu-Turkey), by applying “binary logistic regression” as the main analysis tool. The variables used for logistic regression were tree species, forest purity, altitude, slope, aspect, tree diameter and number of lichen species. Since it may only be possible to be installed within the model when the number of surveillance of the species is more than 20 in the study area. Distribution of 42 of the 82 epiphytic lichen species were modeled by logistic regression. It is concluded that among these variables, "number of lichen species" and "to be a mixed forest" were the most appropriate variables used in the models. In conclusion, binary logistic regression model can be successfully used in lichen species distribution in forest habitat.

Key words: Binary logistic models, Lichen distribution models, Present-absent data, Forest habitat.

¹Istanbul University, Faculty of Forestry, Department of Soil Science and Ecology, Bahçeköy-Istanbul, Turkey

²Marmara University, Faculty of Arts and Sciences, Department of Biology, Goztepe Campus, Istanbul, Turkey.

³Department of Pharmaceutical Botany, Faculty of Pharmacy, Bezmialem Vakif University, Istanbul, Turkey

Back to Contents	Pak. J. Bot., 48(2): 581-588, 2016.	FREE FULL TEXT PDF	Back to Contents
			Updated: 01-04-16
	EFFECT OF FOREST HABITAT ON THE DISTRIBUTION OF LICHEN SPECIESIN ŞERIF YÜKSEL RESEARCH FOREST (BOLU, TURKEY) *ORHAN SEVGİ^1 GÜLŞAH ÇOBANOĞLU²AND ECE SEVGİ³ Abstract: The paper presents the results of a study evaluating impact of habitat factors on distribution of lichen species in a forest ecosystem, in Şerif Yüksel Research Forest (Bolu-Turkey), by applying “binary logistic regression” as the main analysis tool. The variables used for logistic regression were tree species, forest purity, altitude, slope, aspect, tree diameter and number of lichen species. Since it may only be possible to be installed within the model when the number of surveillance of the species is more than 20 in the study area. Distribution of 42 of the 82 epiphytic lichen species were modeled by logistic regression. It is concluded that among these variables, "number of lichen species" and "to be a mixed forest" were the most appropriate variables used in the models. In conclusion, binary logistic regression model can be successfully used in lichen species distribution in forest habitat. Key words:** Binary logistic models, Lichen distribution models, Present-absent data, Forest habitat. ¹Istanbul University, Faculty of Forestry, Department of Soil Science and Ecology, Bahçeköy-Istanbul, Turkey ²Marmara University, Faculty of Arts and Sciences, Department of Biology, Goztepe Campus, Istanbul, Turkey. ³Department of Pharmaceutical Botany, Faculty of Pharmacy, Bezmialem Vakif University, Istanbul, Turkey Corresponding author’s email: osevgi@istanbul.edu.tr

Back to Contents			Back to Contents
	Your browser does not support inline frames or is currently configured not to display inline frames.