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The Use of Indicator Species and Ecological Degradation Model for Condition Assessment in Turkey

Yıl 2017, Cilt: 26 Sayı: 2, 190 - 202, 29.12.2017
https://doi.org/10.21566/tarbitderg.366390

Öz



Monitoring of vegetation change is essential to detect good management practices for the sustainable

use of natural rangeland resources. An understanding of how the existing species in vegetation react to

management methods is important for decision makers. For this reason, the vegetation changes should

be determined by suitable techniques. The multivariate analysis as Detrended Correspondence Analysis

and Principal Components Analysis was highly examined and its results were easily interpreted to draw

conclusions. A relatively homogenous data set first, a matrix of 221 species and 44 sample sites in the

province of Yozgat in the Central Anatolia Region in year 2010, was used by detrended correspondence

analysis (DCA). The effects of environmental variation was minimized by this method (DCA) so that the

major pattern of vegetation composition change was explained by grazing impact. Principal components

analysis was performed to detect the distribution of sites along the first axis, and the distance off the

x-axis. Fifteen species out of the promising 89 plant species were found to be indicators. These indicator

species should be benefited for the vegetation change status and sustainable rangeland management

under semiarid rangeland conditions. The fifteen plant species and bare ground showed clear responses

along the first axis (grazing impact gradient), and became abundant over certain ranges of this axis.

Kaynakça

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Toplam 70 adet kaynakça vardır.

Ayrıntılar

Bölüm Makaleler
Yazarlar

Sabahaddin Ünal Bu kişi benim

Bilal Şahın Bu kişi benim

Öztekin Urla Bu kişi benim

Berna Efe Bu kişi benim

Yayımlanma Tarihi 29 Aralık 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 26 Sayı: 2

Kaynak Göster

APA Ünal, S., Şahın, B., Urla, Ö., Efe, B. (2017). The Use of Indicator Species and Ecological Degradation Model for Condition Assessment in Turkey. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi, 26(2), 190-202. https://doi.org/10.21566/tarbitderg.366390
AMA Ünal S, Şahın B, Urla Ö, Efe B. The Use of Indicator Species and Ecological Degradation Model for Condition Assessment in Turkey. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi. Aralık 2017;26(2):190-202. doi:10.21566/tarbitderg.366390
Chicago Ünal, Sabahaddin, Bilal Şahın, Öztekin Urla, ve Berna Efe. “The Use of Indicator Species and Ecological Degradation Model for Condition Assessment in Turkey”. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi 26, sy. 2 (Aralık 2017): 190-202. https://doi.org/10.21566/tarbitderg.366390.
EndNote Ünal S, Şahın B, Urla Ö, Efe B (01 Aralık 2017) The Use of Indicator Species and Ecological Degradation Model for Condition Assessment in Turkey. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi 26 2 190–202.
IEEE S. Ünal, B. Şahın, Ö. Urla, ve B. Efe, “The Use of Indicator Species and Ecological Degradation Model for Condition Assessment in Turkey”, Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi, c. 26, sy. 2, ss. 190–202, 2017, doi: 10.21566/tarbitderg.366390.
ISNAD Ünal, Sabahaddin vd. “The Use of Indicator Species and Ecological Degradation Model for Condition Assessment in Turkey”. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi 26/2 (Aralık 2017), 190-202. https://doi.org/10.21566/tarbitderg.366390.
JAMA Ünal S, Şahın B, Urla Ö, Efe B. The Use of Indicator Species and Ecological Degradation Model for Condition Assessment in Turkey. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi. 2017;26:190–202.
MLA Ünal, Sabahaddin vd. “The Use of Indicator Species and Ecological Degradation Model for Condition Assessment in Turkey”. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi, c. 26, sy. 2, 2017, ss. 190-02, doi:10.21566/tarbitderg.366390.
Vancouver Ünal S, Şahın B, Urla Ö, Efe B. The Use of Indicator Species and Ecological Degradation Model for Condition Assessment in Turkey. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi. 2017;26(2):190-202.