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The
relationships between beta plant diversity and climatic variables: A case
study from Kuyucak mountain district
M.G.
Negiz1* and K. ?zkan2
1Forestry
Department, S?t??ler Vocational School, Suleyman Demirel University,?
S?t??ler, Isparta, 32260, Turkey
2Department of
Forest Engineering, Faculty of Forestry, Suleyman Demirel University,
Division of Soil Science and Ecology, Isparta, 32100, Turkey
*Corresponding
Author E-mail: mehmetnegiz@sdu.edu.tr
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Key
words
Beta plant diversity,
Biodiversity components,
Mediterranean region,
Environmental factors,
Kuyucak mountain
Publication Data
Paper received : 30.07.2017
Revised received : 11.06.2017
Accepted : 26.06.2017
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Abstract
Aim: There are three
types of biodiversity, i.e., alpha diversity (diversty within an individual
habitat orecosystem), beta diversity (between habitat or ecosystem) diversity
between areas) and gamma diversity (total diversity). Alpha diversity indices
have been frequently used to examine the relationships between biodiversity
and environmental factors. However, studies concerning the relationships
between beta diversity and environmental factors are few despite the fact
that beta diversity gives more information about ecosystem stability against
internal and external threatening factors. The present study was carried out
to examine beta plant diversity and climatic factors in Kuyucak Mountain
District of the Mediterranean region.
Methodology:
Bioclimatic
data was obtained from www.wordclimdata.org for the district. Bioclimatic
variables having cell size 752x752 m were storied in the GIS. Four sample
plots were taken in each selected cell by controlling from GIS. Coverage
values of plant species were recorded in the sample plots. After field
survey, beta plant diversities of the cells were calculated by using
Whittaker Beta Index (βw). Next, regression analysis was applied to show
the relationship between beta diversity and bioclim variables.
Results:
Beta
diversity showed positive linear relationship with BIO1, BIO2, BIO3, BIO5,
BIO8, BIO9, BIO10 and BIO15, while it had negatively linear relationships
with BIO4, BIO11, BIO12, BIO14, BIO17 and BIO18.
Interpretation:
Further
studies can be conducted about the other climatic variable in the region, as
well as the other environmental variables in order to associate with beta
diversity. Thus, potential distribution areas of the plant species and
biodiversity components can be identified and mapped with the help of base
maps for the area's habitat variables.
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