Arid
DOI10.1007/s12517-020-05296-9
Prioritizing effective indicators of desertification hazard using factor-cluster analysis, in arid regions of Iran
Akbari, Morteza1; Koushki, Fateme Feyzi1; Memarian, Hadi2; Azamirad, Mahmud3; Noughani, Mohammad Alizadeh4
Corresponding AuthorAkbari, Morteza
JournalARABIAN JOURNAL OF GEOSCIENCES
ISSN1866-7511
EISSN1866-7538
Year Published2020
Volume13Issue:8
Abstract in English

Desertification is considered as a serious threat to natural resources and human communities. Understanding the factors affecting this process can play a key role in proper land management. The current study aims to prioritize important indicators of desertification utilizing factor and cluster analyses in the arid regions of northeastern Iran. At first, the most important criteria of desertification were identified based on the experts' opinions, literature review, and field works. Important criteria and indices were distributed among 113 experts as the statistical population in the form of a questionnaire in two rounds using the Delphi approach. The reliability of the questionnaire was assessed using the Cronbach's alpha coefficient in SPSS (statistical package for the social sciences). The alpha coefficient was 0.83, which indicates the reliability of the questionnaire. Results showed that the most significant indicators of desertification in northeastern Iran were human activities, climate, water, socio-economic factors, vegetation, agricultural development, soil, geology, and erosion, respectively. By using factor analysis, a total of 27 factors justified 78% of the total variance and were identified as effective parameters on the intensification of desertification in the region. In cluster analysis, important indicators of desertification in the study area were prioritized into five main clusters. Human activities and uncontrolled land-use change for agriculture and industrial development justified the highest variance (about 9%), taking the highest priority. Therefore, the results of this study indicate that factor analysis and clustering are effective tools in prioritizing and identifying main homogeneous criteria for desertification and land degradation.


Keyword in EnglishCriteria Delphi method Land degradation SPSS Human activities
SubtypeArticle
Language英语
CountryIran
Indexed BySCI-E ; SSCI
WOS IDWOS:000528919000002
WOS KeywordSAMPLE-SIZE ; SUITABILITY
WOS SubjectGeosciences, Multidisciplinary
WOS Research AreaGeology
Document Type期刊论文
Identifierhttp://119.78.100.177/qdio/handle/2XILL650/318973
Affiliation1.Ferdowsi Univ Mashhad, Fac Nat Resources & Envimnment, Dept Desert Area Management, Mashhad, Razavi Khorasan, Iran;
2.Univ Birjand, Fac Nat Resources & Environm, Dept Watershed Management, Birjand, Iran;
3.Range & Watershed Dept Khorasan Raravi Prov, Mashhad, Razavi Khorasan, Iran;
4.Ferdowsi Univ Mashhad, Fac Nat Resource & Environm, Dept Environm Sci, Mashhad, Razavi Khorasan, Iran
Recommended Citation
GB/T 7714
Akbari, Morteza,Koushki, Fateme Feyzi,Memarian, Hadi,et al. Prioritizing effective indicators of desertification hazard using factor-cluster analysis, in arid regions of Iran[J],2020,13(8).
APA Akbari, Morteza,Koushki, Fateme Feyzi,Memarian, Hadi,Azamirad, Mahmud,&Noughani, Mohammad Alizadeh.(2020).Prioritizing effective indicators of desertification hazard using factor-cluster analysis, in arid regions of Iran.ARABIAN JOURNAL OF GEOSCIENCES,13(8).
MLA Akbari, Morteza,et al."Prioritizing effective indicators of desertification hazard using factor-cluster analysis, in arid regions of Iran".ARABIAN JOURNAL OF GEOSCIENCES 13.8(2020).
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