Determination of the Long-term Optimal Pattern for Nomadic Ranchers under Climate Uncertainty: Case Study of Nomads in Fars Province

This study develops a long run optimal pattern for nomadic ranchers of Fars province under climate uncertainty by simulating dynamic process of livestock and forage productivity as well as employing dynamic stochastic programming. Results indicate that the nomadic representatives do not perform, opt...

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Main Author: mehrdad bagheri
Format: Article
Language:fas
Published: Ferdowsi University of Mashhad 2014-06-01
Series:مجله اقتصاد و توسعه کشاورزی
Subjects:
Online Access:http://jead.um.ac.ir/index.php/jead/article/view/18713
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spelling doaj-f14a0935ba9845588a051b54049674e02021-06-02T07:29:23ZfasFerdowsi University of Mashhadمجله اقتصاد و توسعه کشاورزی2008-47222423-39512014-06-011391612257579Determination of the Long-term Optimal Pattern for Nomadic Ranchers under Climate Uncertainty: Case Study of Nomads in Fars Provincemehrdad bagheriThis study develops a long run optimal pattern for nomadic ranchers of Fars province under climate uncertainty by simulating dynamic process of livestock and forage productivity as well as employing dynamic stochastic programming. Results indicate that the nomadic representatives do not perform, optimally. Despite their attachments to livestock as an asset, and their life dependency on livestock, they intend to maintain their herd under any circumstance and to have large herds during any year. But results of the long run optimal pattern based on the stochastic dynamic programming model indicate that even in a wet year rangeland forage production is not enough for livestock feeding. Accordingly, nomads must adjust their herds and fit numbers of their livestock with the pasture capacity. Therefore, in the long run partial, adjusting strategies on the number of livestock rather than purchasing additional forage is recommended.http://jead.um.ac.ir/index.php/jead/article/view/18713Optimal pattern of ranchers, Uncertainty, Stochastic programming model, Nomads, Fars province JEL classification: CO2, C61, D81, D24
collection DOAJ
language fas
format Article
sources DOAJ
author mehrdad bagheri
spellingShingle mehrdad bagheri
Determination of the Long-term Optimal Pattern for Nomadic Ranchers under Climate Uncertainty: Case Study of Nomads in Fars Province
مجله اقتصاد و توسعه کشاورزی
Optimal pattern of ranchers, Uncertainty, Stochastic programming model, Nomads, Fars province JEL classification: CO2, C61, D81, D24
author_facet mehrdad bagheri
author_sort mehrdad bagheri
title Determination of the Long-term Optimal Pattern for Nomadic Ranchers under Climate Uncertainty: Case Study of Nomads in Fars Province
title_short Determination of the Long-term Optimal Pattern for Nomadic Ranchers under Climate Uncertainty: Case Study of Nomads in Fars Province
title_full Determination of the Long-term Optimal Pattern for Nomadic Ranchers under Climate Uncertainty: Case Study of Nomads in Fars Province
title_fullStr Determination of the Long-term Optimal Pattern for Nomadic Ranchers under Climate Uncertainty: Case Study of Nomads in Fars Province
title_full_unstemmed Determination of the Long-term Optimal Pattern for Nomadic Ranchers under Climate Uncertainty: Case Study of Nomads in Fars Province
title_sort determination of the long-term optimal pattern for nomadic ranchers under climate uncertainty: case study of nomads in fars province
publisher Ferdowsi University of Mashhad
series مجله اقتصاد و توسعه کشاورزی
issn 2008-4722
2423-3951
publishDate 2014-06-01
description This study develops a long run optimal pattern for nomadic ranchers of Fars province under climate uncertainty by simulating dynamic process of livestock and forage productivity as well as employing dynamic stochastic programming. Results indicate that the nomadic representatives do not perform, optimally. Despite their attachments to livestock as an asset, and their life dependency on livestock, they intend to maintain their herd under any circumstance and to have large herds during any year. But results of the long run optimal pattern based on the stochastic dynamic programming model indicate that even in a wet year rangeland forage production is not enough for livestock feeding. Accordingly, nomads must adjust their herds and fit numbers of their livestock with the pasture capacity. Therefore, in the long run partial, adjusting strategies on the number of livestock rather than purchasing additional forage is recommended.
topic Optimal pattern of ranchers, Uncertainty, Stochastic programming model, Nomads, Fars province JEL classification: CO2, C61, D81, D24
url http://jead.um.ac.ir/index.php/jead/article/view/18713
work_keys_str_mv AT mehrdadbagheri determinationofthelongtermoptimalpatternfornomadicranchersunderclimateuncertaintycasestudyofnomadsinfarsprovince
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