Khodagholi, M.

Shirani, K.

Yazdani, M. R.

English

University of Kentucky

University of Kentucky UKnowledge International Grassland Congress Proceedings 21st International Grassland Congress / 8th International Rangeland Congress Regionalization of Plant Bioclimatic of Karoon Basin Using Statistical Multivariate Methods and GIS M. Khodagholi Agriculture and Natural Resources Center, Iran M. R. Yazdani Isfahan University, Iran K. Shirani Follow this and additional works at: https://uknowledge.uky.edu/igc  Part of the Plant Sciences Commons, and the Soil Science Commons This document is available at https://uknowledge.uky.edu/igc/21/5-2/20 The 21st International Grassland Congress / 8th International Rangeland Congress took place in Hohhot, China from June 29 through July 5, 2008. Proceedings edited by Organizing Committee of 2008 IGC/IRC Conference Published by Guangdong People's Publishing House This Event is brought to you for free and open access by the Plant and Soil Sciences at UKnowledge. It has been accepted for inclusion in International Grassland Congress Proceedings by an authorized administrator of UKnowledge. For more information, please contact UKnowledge@lsv.uky.edu. 瞯 ]710　 瞯 　 Multifunctional Grasslands in a Changing World 　 Volume Ⅰ 　Grasslands/Rangelands Resources and Ecology ——— Application of Information Technology in Monitoring and Managing Grasslands/Rangelands ResourcesRegionalization of plant bioclimatic of Karoon Basin using statistical multivariate methods andGISK hodagholi ,M 1 . ,Y az dani ,M .R .2 ,Shirani ,K .31 ,3 Researcher ,A griculture and Natural Resources Research Center ,Is f ahan ,I ran( E‐mail :m ＿ K hodagholi＠ yahoo .com)2 Phd student o f Climatology ,Is f ahan University ,Is f ahan ,I ran(E‐mail :moreya1＠ yahoo .com)Key word : climatic regionalization ,karoon Basin ,Factor Analysis ,Cluster AnalysisIntroduction Climatologists and ecologists have studied a lot on generalization of plant bioclimatic .There are numerous methodsfor climatology classification presented by botanists and climatologists such as Guassan , koppan and Emberje . Theseclassifications mainly were based on a few parameters ( such as temperature and precipitation ) .Whereas weather is verycomplicated in spite of we use consider ２ or ３ factors only .It is require considering adequate parameters for climatologic zonationpurposes ( Stinger ,１９６５) .Material and methods Karon basin with ４２７５４００ hectares area is located in southeastern of Iran .This region has a variableclimate due to intensive topographic conditions .In this study ,seasonal scales were used for precipitation .For other parameters ,average annual used July and January months ( as an indicator for the first and the second half of a year ) and April ( as aneffective month in vegetation grow th) .Data matris of Q from was prepared .Factor analysis with two methods of componentfactors and varimax rotation was used to decreasing matris size .Then cluster analysis with method of hierarchical clusteranalysis and ward was performed to determining bioclimatic regions .Maps of these changes were drawn with Surfer sof twareResults Results of factors analysis indicated that ５ factors had the highest effect on bioclimatic of study area .These factorsinclude ９４ .２６ percent of variance with eigen value more than １ .Cluster analysis was performed on ５ factors scores using wardmethod .Regard to the dendrogram ,regionalization of bioclimatology was done .It is require selecting name for each climatologyclass .These names indicate general characteristics of the region climate .Map of each climatology region prepared and factorscores classified climatic region that are :Very hot and dry region ,Very hot and semi dry region ,Hot and semi humid region ,Semi hot and semi humid region ,Hot and semidry region ,Semi cool and wet region ,Cold and very wet region ,Cold and wetregion and Cold semidry with spring precipitation( Figure １) .Figure 1 Regionaliz ation o f p lant bioclimatic o f study area .Discussion In this study ５２ climatic variables were selected that have more influence on natural plants grow th .These variablesreduced to ５ factors using factor analysis .Bioclimatic regions were named regard to factor score and correlation maps of factors .Scores show a lot of changes of extraction factors .Primary variable in ９ climatic regions are similar in each region ,but are different inone or a few factors with each .Results indicated that multivariable method is capable in classification of bioclimatic regions comparedwith traditional method .It was proved by many researchers .Statistical methods of multivariable have several advantages such flexibilityand data reduction that can be used for regionalization purposes and are more suitable than traditional methods .ReferencesHossel ,J .E .Riding A .E ,Dawson T .P .and P .A .Harrison ,１９９９ .Bioclimatic Classification for Britain and Ireland http : ／／www .ukcip .org .uk/ pdfs /monarch/Chapter２ ＿ final .pdfKhodagholi ,M .２００５ .A study on plant bioclimatic of Zaiandehrud Basin ,PHD thesis ,Natural Climatology Group of IsfahanUniversity ,Iran .

Regionalization of Plant Bioclimatic of Karoon Basin Using Statistical Multivariate Methods and GIS

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Regionalization of Plant Bioclimatic of Karoon Basin Using Statistical Multivariate Methods and GIS

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