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Showing 3 results for Twinspan

A. Naqinezhad, S. A. Seyed Akhlaghi, Sh. Saeidi Mehrvarz,
Volume 4, Issue 13 (12-2015)
Abstract

Knowledge about plant communities and their relationships with ecological factors is one of the most important issues in conservation ecology particularly in the recent decades. The current investigation aimed to study the vegetation ecology of Palangan habitat in Aghdagh Protected area, Ardabil province. In order to collect species and environmental data, a total of 45 plots along a 1500 m elevational gradient and an interval of 100 m were surveyed. Braun-Blanquet scales were used to evaluate vegetion cover of each plot. Floristic and ecological characteristics of the area were studied along elevational gradient using DCA ordination and TWINSPAN classification methods. Four vegetation groups detremined in TWINSPAN were also identified in the DCA diagram and their species and environmnetal characters have been evalyated by one-way ANOVA. Based on these anlayses, altitude and slope were the most important ecological factors affecting the vegetation of the area. Endemicity values are not significatly changed among different altitudinal belts, but in stead, the number of therophytes and plants with wide distributional ranges are significam,ty different along elevation. The relatiohsip between altitude and species richness, like to other mountainus systems, show almost unimodal pattern which peaks at 1800 m.


Salari Nik Kh. , Asadian Gh. , Nael M. ,
Volume 4, Issue 14 (3-2016)
Abstract

The knowledge of rangeland vegetation types and factors influencing on their establishment and stability is essential for sustainable management and regeneration of rangeland areas. With this aim, Gonbad watershed, due to different vegetation types, environmental conditions and grazing managements was studied. The watershed was stratified to homogenous units based on morphology of vegetation types and environmental factors. Land properties, total canopy and canopy of the main five vegetation forms (annual grasses, perennial grasses, annual forbs, perennial forbs, and shrubs) were determined in 3 to 4 plots (1 x 1 m2) in each unit; plant and surface soil were sampled. Using TWINSPAN method, Silen sp., Centaura virgate, Astragalus verus and Cousinia bijarensis were identified as indicator species. DCA analysis subdivided the watershed into six ecological groups based on indicator plant species, production of perennial grasses and environmental factors, such as percent of sand and clay, and slope aspect. Based on the analysis of indicator species Asteragalus gossypinus (p= 0.001), Taeniatherum crinitum (p= 0.002) and Heteranthelium piliferum (p= 0.007) classified the vegetation cover into three main groups. Silen sp., Astragalus gossypinus, Centaurea virgat, Artemisa siberi, and Festuca ovina represent mountainous steppe and semi-steppe ecological environments. These deep rooting species are resistant to dry conditions. Therefore, ecological


H. Asadi, H. Jalilvand, S. M. Moslemi,
Volume 10, Issue 3 (12-2021)
Abstract

This study focused on vegetation classification of Darabkola forest in the middle part of Hyrcanian forests in north of Iran. For this purpose, 139 releves were sampled using systematic- selective method in 400 m grid dimensions by the consideration of indicator stands concept. Based on modified TWINSPAN method and Braun-Blanquet phytosociological method, five associations (Parrotio persicae-Carpinetum betuli, Zelkovo carpinifoliae-Quercetum, Solano kieseritzkii-Fagetum orientalis, Aceri velutini-Parrotietum persicae and  Euphorbio amygdaloidae-Fagetum orientale) and four sub-associations (Zelkovo carpinifoliae-Quercetum castaneifoliae subasso a typical subasso Quercetosum, Zelkovo carpinifoliae-Quercetum castaneifoliae subasso Fagetosum orientale, Aceri velutini-Parrotietum persicae subasso Carpinetusum betuli and Aceri velutini-Parrotietum persicae subasso Pteroetosum fraxinifoliae) were distinguished. Demonstration of plant communities along the first two axes of detrended correspondence analysis (DCA) showed that these associations had almost distinct pattern. Also, results of multiple regression of topographic factors with the two first ordination axes of DCA indicated that elevation was the most important topographic factor in distribution of the associations in the Darabkola forests. In addition, the results of this study can lead to the more efficient management and better protection of Darbakla forest.


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