Agro-ecological evaluation of sustainable area for citrus crop production in Ramsar District, Iran

Citrus growing is regarded as an important cash crop in Ramsar, Iran. Ramsar District has a temperate climate zone, while citrus is a sub-tropical fruit. Few studies on citrus crop in terms of negative environmental factors have been carried out by researchers around the world. This study aims to in...

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Main Author: Zabihi, Hasan
Format: Thesis
Language:English
Published: 2017
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Online Access:http://eprints.utm.my/id/eprint/79119/1/HasanZabihiPFGHT2017.pdf
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spelling my-utm-ep.791192018-09-30T08:17:25Z Agro-ecological evaluation of sustainable area for citrus crop production in Ramsar District, Iran 2017 Zabihi, Hasan G70.212-70.215 Geographic information system Citrus growing is regarded as an important cash crop in Ramsar, Iran. Ramsar District has a temperate climate zone, while citrus is a sub-tropical fruit. Few studies on citrus crop in terms of negative environmental factors have been carried out by researchers around the world. This study aims to integrate Geographical Information System (GIS) and Analytical Network Process (ANP) model for determination of citrus suitability zones. This study evaluates the agro-ecological suitability, determine potentials and constraints of the region based on effective criteria using ANP model. ANP model was used to determine suitable, moderate and unsuitable areas based on (i) socio-economic, morphometry and hydro-climate factors using 15 layers based on experts’ opinion; (ii) Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite image of the year 2003 with 98.45% overall accuracy, and (iii) developed Multiple Linear Regression (MLR) model for citrus prediction. Thereby, weighted overlay of 15 factors was obtained using GIS. In this study, the citrus orchards map of 2003 and the new map of the citrus areas of 2014 namely Citrus State Development Program (CSDP) of the study area were compared. The results of this study demonstrated: (i) suitable areas (free risk areas) based on negative environmental factors and areas which are susceptible to citrus plantation; (ii) high-risk areas which are unsuitable for citrus plantation, and (iii) the high weights derived by ANP model were assigned to altitude, frost and minimum temperature. The MLR model was successfully developed to predict citrus yield in Ramsar District by 10% error. The MLR model would propose optimum citrus crop production areas. As conclusion, the main outcome of this study could help growers and decision makers to enhance the current citrus management activities for current and future citrus planning. 2017 Thesis http://eprints.utm.my/id/eprint/79119/ http://eprints.utm.my/id/eprint/79119/1/HasanZabihiPFGHT2017.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic G70.212-70.215 Geographic information system
spellingShingle G70.212-70.215 Geographic information system
Zabihi, Hasan
Agro-ecological evaluation of sustainable area for citrus crop production in Ramsar District, Iran
description Citrus growing is regarded as an important cash crop in Ramsar, Iran. Ramsar District has a temperate climate zone, while citrus is a sub-tropical fruit. Few studies on citrus crop in terms of negative environmental factors have been carried out by researchers around the world. This study aims to integrate Geographical Information System (GIS) and Analytical Network Process (ANP) model for determination of citrus suitability zones. This study evaluates the agro-ecological suitability, determine potentials and constraints of the region based on effective criteria using ANP model. ANP model was used to determine suitable, moderate and unsuitable areas based on (i) socio-economic, morphometry and hydro-climate factors using 15 layers based on experts’ opinion; (ii) Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite image of the year 2003 with 98.45% overall accuracy, and (iii) developed Multiple Linear Regression (MLR) model for citrus prediction. Thereby, weighted overlay of 15 factors was obtained using GIS. In this study, the citrus orchards map of 2003 and the new map of the citrus areas of 2014 namely Citrus State Development Program (CSDP) of the study area were compared. The results of this study demonstrated: (i) suitable areas (free risk areas) based on negative environmental factors and areas which are susceptible to citrus plantation; (ii) high-risk areas which are unsuitable for citrus plantation, and (iii) the high weights derived by ANP model were assigned to altitude, frost and minimum temperature. The MLR model was successfully developed to predict citrus yield in Ramsar District by 10% error. The MLR model would propose optimum citrus crop production areas. As conclusion, the main outcome of this study could help growers and decision makers to enhance the current citrus management activities for current and future citrus planning.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Zabihi, Hasan
author_facet Zabihi, Hasan
author_sort Zabihi, Hasan
title Agro-ecological evaluation of sustainable area for citrus crop production in Ramsar District, Iran
title_short Agro-ecological evaluation of sustainable area for citrus crop production in Ramsar District, Iran
title_full Agro-ecological evaluation of sustainable area for citrus crop production in Ramsar District, Iran
title_fullStr Agro-ecological evaluation of sustainable area for citrus crop production in Ramsar District, Iran
title_full_unstemmed Agro-ecological evaluation of sustainable area for citrus crop production in Ramsar District, Iran
title_sort agro-ecological evaluation of sustainable area for citrus crop production in ramsar district, iran
granting_institution Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department Faculty of Geoinformation and Real Estate
publishDate 2017
url http://eprints.utm.my/id/eprint/79119/1/HasanZabihiPFGHT2017.pdf
_version_ 1747818151215628288