Using Ordination Method for Determination of Effective Environmental Factors on Astragalus parrawinus Species Establishment in Semi-Arid Regions of Iran

Amiri, Fazel; Saadatfar, Amir

doi:10.3923/ajps.2009.11.19

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…It has been determined that soil factors with soil chemistry changes have positive or negative effects on the species in vegetation. Similar results were reported by other researchers (Kumar 1996;Ridolfi et al 2008;Amiri & Saadatfar 2009;Kabir et al 2010;Kirkpatrick et al 2014). It has been determined that different species have different effects depending on the change in altitude, which is one of the environmental factors and has a close relationship with vegetation change.…”

Section: Resultssupporting

confidence: 88%

“…It is important that examination of the relationship between environmental factors and plants in these ecosystems for better understanding and management rangeland ecosystems, which are among the areas with the richest vegetative biodiversity in the world. The impact of environmental factors on plant communities has been the subject of many ecological studies in recent years (Amiri & Saadatfar 2009;Altın et al 2011;Ispirli et al 2016). Determination of the interaction between different biotic and abiotic components of an ecosystem is an important part of ecological studies (Rahman et al 2016;Khan et al 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Quantitative classification and ordination analysis methods are used to understand the basic relationship between environmental characteristics and plant communities. These methods help to identify ecological similarities between different vegetations and finding the environmental factors that are important in ecological structure determination (Zhang et al 2006;Amiri & Saadatfar 2009). Scientists, who are interested in ecology, use a multivariate approach to investigate and summarize the ecological data set related to environmental variables.…”

Section: Introductionmentioning

confidence: 99%

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A Multivariate Analiysis in Relation to Edaphical and Environmental Factors of Rangelands Vegetation of Mugla Province

Öten

Erdurmuş

Kiremitci

et al. 2020

Tarım Bilimleri Dergisi

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This study was carried out in order to compare in 20 different rangeland sample areas that determined in order to environmental variables, vegetation and soil properties by multivariate ordination analysis in Mugla province. Cluster analysis was made to determine the similarity and species compositions of sample areas, and as a result of this analysis, three different groups have occurred. Additionally, detrended correspondence analysis (DCA) was made after the indicator species analysis. The interaction between environmental and soil-borne factors as altitude, distance to village, soil depth, pH in saturated soil with water, lime and surface stoniness were found to be significant and this significance was expressed by graphs. Moreover, it was indicated that relationship with species in the vegetation of the variables that were determined as significant by tables and figures. The relationship with the species in the vegetation of the variables that were determined as significant was also indicated. The result of the study showed that environmental variables as soil depth, soil pH saturated with water, stony surface, altitude and distance to villages had a significant effect on the species diversity and distribution in the samples areas.

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Section: Resultssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Multivariate Analiysis in Relation to Edaphical and Environmental Factors of Rangelands Vegetation of Mugla Province

Öten

Erdurmuş

Kiremitci

et al. 2020

Tarım Bilimleri Dergisi

View full text Add to dashboard Cite

show abstract

“…While a larger arrow has a more positive or negative effect, a shorter arrow has a less positive and negative effect. Tow align arrows represent the positive effect and two opposing arrows with a maximum angle of 180 degrees indicate a negative and reciprocal effect of the two parameters (Tahmasebi, 2011, Amiri et al, 2008. In HRDA analysis, the species that are in a quadrant are more correlated.…”

Section: Resultsmentioning

confidence: 99%

Vegetation Classification in Relation to Environmental Factors, in Fars Province, Iran

Moradipour,

Babaei,

Hatami

2018

JBS

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The study was carried out in the oak forests that is located in the Southwest part of Iran. The objective of this research was to determine the plant ecological groups and site classification in this region. Data were collected from 96 sample plot using the systematic-random method. The size of sampling plot was 20 m× 50 m for the tree and shrub layers, and 8 m × 8 m for the herbaceous layer. In each plot, topographical factors (elevation, slope, aspect) and percent cover of herbaceous and the crown cover of tree species were recorded. Multivariate analysis methods were used to classify and determine the relationship between species composition and environmental factors. The results of TWINSPAN and MRPP analysis showed that eight groups were recognized. The most important environmental factors associated with plant composition in oak communities were the slope, elevation, aspect, respectively. The ordination results (HRDA) indicated that the topography factors influenced on the establishment of indicator species. Furthermore, they were one of the limiting factors of the growth, presence, and absence of woody and herbaceous species.

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“…Effects of environmental factors on plant communities have been the subject of many ecological studies in recent years, much of the research on species-environment relationships has been carried out in semiarid regions of North America, Australia, and other desertic regions, such as Egypt, India, Iran, etc. (Moreno-Casasola and Espejel, 1986;Parker, 1991;Castillo, Popma and Moreno-Casasola, 1991;Comstock and Ehleringer, 1992;Abd El-Ghani and Amer, 2003;Amiri and Saadatfar, 2009). Our knowledge about interactions of the vegetation distribution and environmental factors in semi arid regions of Algeria is rather poor.…”

mentioning

confidence: 99%

Multivariate analysis of vegetation of the salted lower-cheliff plain, Algeria

et al. 2009

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The main objectives of this study were to identify the edaphic factors that could be related to vegetation distribution in the lower-Cheliff plain (35.750° - 36.125°N, 0.5° - 1°E) one the largest salted plains of northwestern Algeria and to establish the relationships between these soil factors and the main plant communities. Soil and vegetation data were obtained from 133 relevés. Species in Chenopodiaceae and Asteraceae were dominant in the salted plain. Soil variables measured included electrical conductivity, elevation, soil texture, soil structure, organic matter, CaCO3, pH, Ca++, Na+, Cl-, CaMg and color of soil. Multivariate analyses including detrended correspondence analysis (DCA) and redundancy analysis (RDA) were performed to analyze the collected data. The results showed that the vegetation distribution pattern was mainly related to conductivity and elevation. Separation of relevés into groups according to the first two axes of RDA provided four vegetation units, each one composed of several diagnostic species with highly significant fidelity value according to Fisher’s test. The theoretical maps produced by kriging revealed a close relationship between these vegetation units and conductivity.

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Using Ordination Method for Determination of Effective Environmental Factors on Astragalus parrawinus Species Establishment in Semi-Arid Regions of Iran

Cited by 4 publications

References 14 publications

A Multivariate Analiysis in Relation to Edaphical and Environmental Factors of Rangelands Vegetation of Mugla Province

A Multivariate Analiysis in Relation to Edaphical and Environmental Factors of Rangelands Vegetation of Mugla Province

Vegetation Classification in Relation to Environmental Factors, in Fars Province, Iran

Multivariate analysis of vegetation of the salted lower-cheliff plain, Algeria

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