Identifying and Ranking Important Factors of Desertification in Khorasan Razavi Province using Delphi Method

جغرافیا و مخاطرات محیطی

Article 12, Volume 8, Issue 3 - Serial Number 31, December 2018, Pages 205-225   

Document Type: Research Article

DOI: 10.22067/geo.v0i0.84127

Authors

Fateme Feyzi Koushki¹; Morteza Akbari^{* 1}; Hadi Memarian²; Mahmud Azamirad³

¹Ferdowsi University of Mashhad

²University of Birjand

³Range and Watershed Department of Khorasan Razavi province

Abstract

Introduction

Desertification is one of the most complex environmental threats with negative socio-economic impacts. Understanding the spatio-temporal characteristics of this process is possible by identifying, monitoring, and evaluating important criteria and indicators (Akbari, Ownegh, Asgari, Sadoddin, & Khosravi, 2016). Each of the criteria, effective in desertification can include several important indicators. For each indicator, accurate identification and evaluation of the effective mechanisms and its role in desertification will contribute significantly to proper land management. Many studies have been done on desertification. However, researchers believe that desertification can only be satisfactorily evaluated when appropriate and valid criteria and indices are determined. So far, it has not been possible to determine indicators that can be used at different global, regional, national, and local levels (Akbari, 2016; Akbari, Jafari Shalamzari, Memarian, & Gholami, 2020). Therefore, this research, with an exploratory approach, attempts to identify and formulate the main and key factors affecting desertification expansion in Khorasan Razavi province. Identification and prioritization of key desertification factors based on expert opinions, field studies, and scientific approaches can play an important role in better management of Khorasan Razavi province.

Study Area

The study region, with an area of 11.6 million hectares and a population more than 6 million people (8 % of Iran's population), is located at 56o 30' to 61o 10’ E and 34o 15’ to 37o 42’ N. This area is adjacent to Turkmenistan in the north and northeast, running a border of 531.6 km, and to Afghanistan in the east, with a border length of 302 km (Feyzi Koushki, Akbari, Memarian, & Azamirad, 2019(. Official reports existing in the Department of Natural Resources and Watershed Management of Khorasan Razavi Province have shown that increasing the number of wells, conversion of rangeland and forest to agricultural and residential land and land salinization have been effective human factors in land degradation. According to official reports, soil erosion per capita in Iran is about 15 tons per hectare per year, which is estimated to be about 18 to 20 tons per year for Khorasan Razavi province, indicating the intensity of soil erosion in eastern parts of Iran (Akbari, Neamatollahi, & Neamatollahi, 2019).

Material and Methods

Two methods were used for data collection. First, a number of different desertification intensity models and significant factors affecting the desertification process were evaluated. Then, a questionnaire was designed to determine uncertainties based on the initial round of questionnaires distributed among the statistical population (including 113 experts and specialists). The responses were subsequently assessed based on the Delphi method (Feyzi Koushki, Akbari, Memarian, & Azamirad, 2019). In this study, field studies were used as the basis for designing questionnaires. The required data were collected to design a questionnaire by the defined standards. The questions were answered on a 5-point Likert scale (low to negligible, low, moderate, high and very high). The ranking scale was used to evaluate the indices for data extraction and analysis were used. The statistical population initially comprised of 130 experts, executives, and specialists in the field of natural resources and environment. Questionnaires were distributed among the statistical population in two rounds using the Delphi method. The Friedman test was also used to compare the mean scores.

Results and Discussion

In this study, the validity of the questionnaires was approved through expert opinion. Finally, ten questions (from 90 questions) were omitted and some of the questions were adjusted. The reliability of the questionnaire was determined by Cronbach's alpha coefficient. Cronbach's alpha was calculated as 0.823 using SPSS (statistical package for social sciences). The results of the first round of Delphi showed that the most important desertification criteria were climate, water, human activities, socio-economic criteria, vegetation, agricultural activities, soil, geology, and erosion criteria, respectively. In the second step, after analyzing the questionnaires, human activities, climate, water, socio-economic criteria, vegetation, agricultural activities, soil and geology, and erosion criteria were ranked as the most important criteria, respectively.

Conclusion

The most important desertification criteria in Khorasan Razavi province were ranked using the Delphi method by evaluating the main effective desertification factors based on the opinions of experts in the field of natural resources. The results showed that human activities, climate, water, socio-economic criteria, agricultural activities, vegetation, soil and geology, and erosion criteria were important factors in desertification expansion. The results of this study will be useful for developing management plans and reducing the negative impacts of land degradation. It is recommended to use appropriate statistical methods for assessing the status of land degradation and desertification risk and to prioritize effective factors and criteria for presenting appropriate solutions. Therefore, this exploratory research attempts to identify and formulate the main and key factors affecting desertification expansion in Khorasan Razavi province. Identification and prioritization of key desertification factors based on expert opinions, field studies, and scientific approaches can play an important role in better management of Khorasan Razavi province.

Keywords

Desertification Intensity; Land degradation; Indices; Statistical Analysis; Questionnaire

References

اکبری، مرتضی؛ 1395. ارائه سیستم پیش‌آگاهی خطر بیابان‌زایی (منطقه مورد مطالعه: مناطق نیمه بیابانی غرب استان گلستان)، رساله دکتری، دانشکده مرتع و آبخیزداری، دانشگاه علوم کشاورزی و منابع طبیعی گرگان.

اکبری، مرتضی؛ کریمزاده، حمیدرضا؛ مدرس، رضا؛ چکشی، بهاره؛ 1386. ارزیابی و طبقه‌بندی بیابانزایی با فناوری سنجش‌ازدور و سیستم اطلاعات جغرافیایی (مطالعه موردی: منطقه خشک شمال اصفهان). فصلنامه علمی پژوهشی، تحقیقات مرتع و بیابان ایران. سال 14. شماره. 124-142.

اکبری، مرتضی؛ ضیائی، نوید، 1393. نقد و بررسی تعاریف بیابان و بیابان‌زایی در راستای ارائه تعریفی استاندارد، دومین همایش ملّی بیابان با رویکرد مدیریت مناطق خشک و بیابانی، دانشگاه سمنان.

انتظاری، منیر سادات؛ 1394. مدیریت استراتژیک و آینده‌پژوهی برای به‌سازی سازمان بر طبق روش دلفی، کنفرانس بین المللی پژوهشهای نوین در مدیریت، اقتصاد وحسابداری. استانبول. ترکیه.

زهتابیان، غلامرضا؛ خسروی، حسن؛ مسعودی، ریحانه؛ 1393. مدل‌های ارزیابی بیابان‌زایی (معیارها و شاخص‌ها). انتشارات دانشگاه تهران.

سیلاخوری، اسماعیل؛ اونق، مجید؛ سعدالدین، امیر؛ 1393. ارزیابی خطر و ریسک بیابان‌زایی منطقه سبزوار با استفاده از مدل MICD، دو فصلنامه پژوهشی مدیریت بحران. شماره 91. 89-99.

صبوری‌راد، سیما؛ نظری سامانی، علی‌اکبر؛ سپهر، عادل؛ 1391. تعیین مهم‌ترین شاخص‌های مؤثر در بیابان‌زایی بر پایه پارچوب مفهومی DPSIR و روش‌های تصمیم‌گیری چندمعیاره (مطالعه موردی: منطقه میاندهی، استان خراسان رضوی). پژوهش‌های دانش زمین. سال 12. شماره 3. 83-94.

فیضی کوشکی، فاطمه؛ اکبری، مرتضی؛ معماریان، هادی؛ اعظمی‌راد، محمد؛ 1397. ارائه برنامه‌های راهبردی جهت مدیریت بحران بیابان‌زایی با استفاده از علم آینده‌پژوهی، مجله دانش پیشگیری و مدیریت بحران. سال 8. شماره 4. 401-415.

گزارش توسعه‌ی منابع طبیعی و آبخیزداری استان خراسان رضوی در افق 1404؛ 1395. اداره کل منابع طبیعی و آبخیزداری خراسان رضوی.

محمدبیگی، ابوالفضل؛ محمدصالحی، نرگس؛ علی گل، محمد؛ ۱۳۹۳. روایی و پایایی ابزارها و روش‌های مختلف اندازه‌گیری آنها در پژوهش‌های کاربردی در سلامت. سال 13. شماره 12. 1153-1170.

مقصودلوراد، رضا؛ صفری، حجت اله؛ عباس‌زاده، زهرا؛ 1393. بررسی روند تغییرات کیفی آب‌های زیرزمینی در دوره‌های خشک و ترسالی، مطالعه موردی: دشت گرگان، فصلنامه بین‌المللی پژوهشی-تحلیلی منابع آب و توسعه. سال 2. شماره 3. 162-171.

میرکتولی، جعفر؛، حسینی، علی؛ رضایی نیا،‌ حسین؛ نشاط، عبدالحمید؛ 1391. آشکارسازی تغییرات پوششی و کاربری اراضی با رویکرد به مجموعه‌های فازی (مطالعه موردی: شهر گرگان)، پژوهش‌های جغرافیایی انسانی. شماره 79. 33-54.

نصریان، آذین؛ اکبری، مرتضی؛ فریدحسینی، علی؛ نعمت الهی، احسان؛ سرور داوری، سرور؛ ۱۳۹۸. ارزیابی کمّی شاخص‌های شدّت بیابانزایی در اراضی کشاورزی دشت درگز، شمال استان خراسان رضوی، مدیریت بیابان. سال 7. شماره 13. ۱۴۹-۱۷۰.

هنردوست، فرهاد؛ اونق، مجید؛ شیخ بردی، واحد؛ 1390. ارزیابی وضعیّت فعلی بیابان‌زایی دشت صوفیکم-منگالی در شمال غربی استان گلستان، پژوهش‌های حفاظت آب‌وخاک. سال 18. شماره 3. 213-219.

AbbasiTeshnizi, F., & Nouri Emamzadehei, M.R., 2017. Assessment of ground water quality in Kaboudarahang Plain using factor and cluster analysis. Journal of Environment and Water Engineering, 3(3), 272–279.

Adler, M., & Ziglio, E., 1996. Gazing into the oracle: The Delphi method and its application to social policy and public health. London: Kingsley Publishers

Akbari, M., Jafari Shalamzari, M., Memarian, H., & Gholami, A., 2020. Monitoring desertification processes using ecological indicators and providing management programs in arid regions of Iran. Ecological Indicators, 111, 106011-16. https:// doi.org/ 10.1016/ j.ecolind.2019.106011.

Akbari, M., Neamatollahi, E., & Neamatollahi, P., 2019. Evaluating land suitability for spatial planning in arid regions of eastern Iran using fuzzy logic and multi-criteria analysis. Ecological Indicators, 98, 587-598. https:// doi.org/10.1016/j. ecolind. 2018.11.035.

Akbari, M., Ownegh, M., Asgari, H.R., Sadoddin, A., & Khosravi, H., 2016. Desertification risk assessment and management program. Global Journal of Environmental Science and Management, 2(4), 365 -380.

Bonett, D.G., & Wright, T.A., 2014. Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning. Journal of Organizational Behavior, 36(1), https:// doi.org/ 10.1002/job.1960.

Dalkey, N., & Helmer, O., 1963. An experimental application of the Delphi method to the use of experts. Management Science, 9, 458- 467.

Danfeng, S., Dawson, R., & Baoguo, L., 2006. Agricultural causes of desertification risk in Minqin, China. Journal of Environmental Management, 79, 348–356.

Gomes, E., Banosa, A., Abrantes, P., Rocha, J., Bech, S., Kristensen, P., & Busck, A., 2019. Agricultural land fragmentation analysis in a peri-urban context: From the past into the future. Ecological Indicators, 97, 380-388.

Helms, C., Gardner, A., & McInnes, E., 2017. The use of advanced web-based survey design in Delphi research. Journal of Advanced Nursing, 73(12), 3168-3177. https:// doi.org/10.1111/jan.13381.

Jiang, L., Jiapaer, G., Bao, A., Kurban, A., Guo, H., Zheng, G., & De Maeyer, P., 2019. Monitoring the long-term desertification process and assessing the relative roles of its drivers in Central Asia. Ecological Indicators, 1, 95-208.

Khosravi, H., Zehtabian, G., Ahmadi, H., & Azarnivand, H., 2014. Hazard assessment of desertification as a result of soil and water recourse degradation in Kashan Region, Iran. Desert, 19, 45-55.

Krejcie, R.V., & Morgan, D.W., 1970. Determining Sample Size for Research Activities. Educational and Psychological Measurment, 30, 607-610. https:// doi.org/ 10.1177% 2F001316447003000308.

Olokeogun, O.S., Iyiola, K., & Iyiola, O.F., 2014. Application of remote sensing and GIS in land use/land cover mapping and change detection in Shasha forest reserve, Nigeria, The International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences, XL-8, 613-616.

Pereira, D.G., Afonso, A., & Melo Medeiros, F., 2015. Overview of Friedman’s Test and Post-hoc Analysis. Communication in Statistics- Simulation and Computation, 44(10), 2636-2653. http://dx.doi.org/10.1080/03610918.2014.931971.

Rasmy, M., Gad, A., Abdelsalam, H., & Siwailam, M., 2010. A dynamic simulation model of desertification. Egyptian Journal of Remote Sensing and Space Sciences, 13, 101-111. https://doi.org/10.1016/j.ejrs.2010.03.001.

UNCED., 1992. Managing Fragile Ecosystems: Combating Desertification and Drought, Agenda 21–Chapter 12, United Nations Conference on Environment & Development Rio de Janerio, Brazil, 3 to 14 June. https:// sustainabledevelopment. un. org/ content/ documents/ Agenda21.pdf.

Veron, S.R., Paruelo, J.M., & Oesterheld, M., 2006. Assessing Desertification. Journal of Arid Environments, 66, 751-763. https:// doi.org/10.1016/j.jaridenv.2006.01.021