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Relationship
between some wild mammals and forest structural diversity parameters
A.
Mert* and B. Yal?ınkaya
Department of
Wildlife Ecology and Management, Faculty of Forestry, S?leyman Demirel
University, Isparta-32260, Turkey
*Corresponding
Author E-mail: ahmetmert@sdu.edu.tr
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Key
words
Habitat,
Structural diversity,
Wildlife,
Wild mammal
Publication Data
Paper received : 30.06.2016
Revised received : 30.05.2016
Accepted : 26.06.2017
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Abstract
Aim: The forests are
most crucial ecosystems that provide opportunities for wildlife species in
terms of nutrition and harboring properties. Theoretically, structural
heterogeneity of plants in a field assosiated with number of living
organisims in there. The main objective of the study was to investigate
relationships between distribution of wild animals and variables including
height of leafy branches from ground, thickness and density of litter layer,
height and density of herb and shrub layer and height and density of tree
layer.
Methodology:
Sign
of wild mammals were inventoried using indirect inventory techniques in
seventy sampling plots in Ağlasun (Burdur, Turkey). Height leafy branches
from the ground and thickness and density of litter layer, height and density
of herb and shrub layers, stone, soil, rock covering landform were measured.
To determine relationships between this variables, regression and
classification tree technique was applied.
Results:
No
relationship was found between European hare and Beech marten with forest
structural diversity parameters. Distribution of Wild boar (AUC; 0.85),
Badger (AUC; 0.81) and Red fox (AUC; 0.85) were affected by some forest
structural diversity parameters such as tree densiy, herb density and rock
density.
Interpretation:
The
results revealed that the areas with structural diversity became rich in
biodiversity. The increase in fruit trees and plant species diversity
contributes to support wildlife, as well. This study is significant for
determination of relationship between wild animals and easily measured
structural diversity parameters.
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conclusions enforced or derived, rest completely with the author(s).
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