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New stopping rules for dendrogram classification in TWINSPAN | ||
| Taxonomy and Biosystematics | ||
| مقاله 6، دوره 7، شماره 25، فروردین 2016، صفحه 53-68 اصل مقاله (1015.44 K) | ||
| نویسندگان | ||
| Omid Esmailzadeh* ؛ Seyedeh Samira Soleymanipor؛ Seyed Mosen Hosseini؛ Hamed Asadi | ||
| Department of Forestry, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran | ||
| چکیده | ||
| The aim of this study is to propose a modification of TWINSPAN algorithm with introducing new stopping rules for TWINSPAN. Modified TWINSPAN combines the analysis of heterogeneity of the clusters prior to each division to prevent the imposed divisions of homogeneous clusters and it also solved the limitation of classical TWINSPAN in which the number of clusters increases power of two. For this purpose, ecological groups of Box tree stands in Farim forests were classified with using classical and modified TWINSPAN basis of plant species cover percentage of 60 plots with 400 m2 surface area which were made by releve method (by consideration of indicator stand concept). In this relation, five different heterogeneity measures including Whittaker’s beta diversity and total inertia, Sorensen, Jaccard and Orlo´ci dissimilarity indices which representing diversity and distance indices respectively were involved. Sample plots were also classified from basis of topographical properties using cluster analysis with emphasizing Euclidean distance coefficient and Wards clustering method. Results showed that using of two sets of heterogeneity indices lead to different classification dendrograms. In this relation, results of Whittaker’s beta with total inertia as diversity indices were similar and the other three dissimilarity indices have shown similar behavior. Finally, our results reiterated that modified TWINSPAN did not alter the logic of the TWINSPAN classification, but it increased the flexibility of TWINSPAN dendrogram with changing the hierarchy of divisions in the final classification of ecological groups of Box tree stands in Farim forests. | ||
| کلیدواژهها | ||
| TWINSPAN؛ Cluster analysis؛ Indices of heterogeneity؛ Vegetation classification | ||
| اصل مقاله | ||
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مقدمه. 5- روش Orloci (1967): این روش به نام تابع فاصلهای CRD یا Chord نیز معروف است (Ludwig and Reynolds, 1989) که در آن با استفاده از رابطه 8، کسینوس هر یک از جفت قطعات نمونه بر اساس وفور گونههای مشترک محاسبه میشود، سپس با استفاده از رابطه 9 ضریب فاصله کسینوس Chord هر یک از جفت قطعات نمونه محاسبه و در نهایت میانگین CRD برای هر گروه محاسبه میشود. مواد و روشها نتایج
جدول 1- عضویتپذیری مشابه قطعات نمونه در گروههای طبقهبندی شده با دو روش TWINSPAN معمولی و اصلاحشده با استفاده از شاخص ناهمگنی تنوع (بتا ویتاکر و واریانس کل). میانگین وزنی درصد انطباق= 3/68 درصد جدول 2- عضویتپذیری مشابه قطعات نمونه در گروههای طبقهبندی شده از دو روش TWINSPAN معمولی و اصلاحشده با استفاده از شاخص ناهمگنی فاصلهای (شاخص عدم تشابه سورنسون، جاکارد و اورلوسی). میانگین وزنی درصد انطباق= 7/96 درصد
جدول 3- عضویتپذیری مشابه قطعات نمونه در گروههای طبقهبندی شده از دو روش خوشه ای و TWINSPAN اصلاحشده با استفاده از شاخص ناهمگنی تنوع (بتا ویتاکر و واریانس کل). میانگین وزنی درصد انطباق= 75 درصد جدول 4- عضویتپذیری مشابه قطعات نمونه در گروههای طبقهبندی شده از دو روش خوشهای و TWINSPAN اصلاحشده با استفاده از شاخص ناهمگنی فاصلهای (شاخص عدم تشابه سورنسون، جاکارد و اورلوسی). میانگین وزنی درصد انطباق= 3/58 درصد
جدول 6- ضریب کاپا و همبستگی اسپیرمن در بررسی میزان انطباق و همبستگی دو روش خوشهای و TWINSPAN اصلاحشده با استفاده از شاخص ناهمگنی فاصلهای (شاخص عدم تشابه سورنسون، جاکارد و اورلوسی). **: 001/0>P (انطباق و همبستگی در سطح 99 درصد)
سپاسگزاری. | ||
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