APPLICATION OF QUANTITATIVE METHODS IN VEGETATION CLASSIFICATION AT PERK FOREST IN LORESTAN PROVINCE

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

VEISKARAMI Z.; PILEHVAR B.; VEISKARAMI GH.H.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Wood and Forest Science and Technology Year:2016 | Volume:23 | Issue:SUPPLEMENT 1 Page(s): 69-96

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

709

Download:

Cites:

Information Journal Paper

Title

APPLICATION OF QUANTITATIVE METHODS IN VEGETATION CLASSIFICATION AT PERK FOREST IN LORESTAN PROVINCE

Author(s)

VEISKARAMI Z. | PILEHVAR B. | VEISKARAMI GH.H. | Issue Writer Certificate

Keywords

CLASSIFICATION OF VEGETATIONQ1

DCAQ1

PERK FOREST HABITATSQ1

TWINSPANQ1

Abstract

Background and objectives: One of the most important issues in the plant ecology is vegetation classification. Statistic and unbiased sample are the bases of quantitative plant ecology. This study profited on stratified random sampling. Each strata comprises a physiognomic vegetation type in study area. This study aimed to classify vegetation types, to investigate plant diversity and to assess the most important factors that affect the distribution of vegetation communities.Material and methods: The study area, Perk forest, was located in the south west of Khorramabad with 2920 ha area. Stratified random sampling method was used to collect data. Based on the field observation (differences in physiognomy and vegetation structure), four distinct vegetation types including, Quercus-Graminae, Quercus-Acer-Pyrus, Quercus-Astragalus-Daphne, and Quercus-Achantolimon-Lonicera were recognized in this region. Sampling was performed during the spring and summer 2011, and a total 29, 400 m2 plots and 40, 4 m2 were established.Two-way indicator species analysis (TWINSPAN) and Detrended Correspondence Analysis (DCA) method was used. Four distinct ecological groups were identified in this region using these two methods. Indicator values for each species in different ecological groups were determined. Then in each ecological group species richness, Simpson and Shannon-Wiener's indices of diversity and Smith and Wilson's index of evenness were computed. Among numerous measured variables the most important physiographic variables were determined by the principal component analysis (PCA) method.Results: Based on the results indicator species of the first, second, third, and fourth groups include (Acer monspesulanum L., Bromus tomentellus L., Colchicum persicum Baker, Euphorbia orientalis L. and Pyrus syriaca Boiss) (Euphorbia sororia Schrenk, Minuartia hamate (Hausskn.) Mattf, Quercus brantii Lindl and Valerianella vesicaria(L.) Moench) (Agropyrun repens (L.) P. Beauv, Daphne mucronata Royal, Echinops orientalis Trutv, Polygonum aviculare L., Stachys ballotiformis Vatke and Thalictrum sultanabadense Stapf) (Acantholimon brachystachyum Boiss. in Bunge, Acanthophyllum kurdicum Boiss. & Hausskn. in Boiss, Ferulago angulata (Schlecht.) Boiss and Lonicera nummularifolia Jaub. & Spach) respectively. Based on the results the highest values of species richness and diversity and evenness were assigned to the first group and the highest evenness value was assigned to the second group. There were significant differences in species richness, Simpson and Shannon-Wiener's index of diversity, and Smith and Wilson's index of evenness based on Analysis of variance (ANOVA) results, among different ecological groups.Conclusion: It is concluded that the results of Two-way indicator species analysis and Detrended Correspondence Analysis by using the unbiased sample correspond to vegetation composition and physiography of terrain and the changes in environmental conditions lead to changes in vegetation composition in distinct ecological groups. The elevation was the most important factors in constructing distinct ecological groups, based on the results of principal component analysis (PCA) method.

Cites

No record.

References

No record.

Cite

APA: Copy

VEISKARAMI, Z., PILEHVAR, B., & VEISKARAMI, GH.H.. (2016). APPLICATION OF QUANTITATIVE METHODS IN VEGETATION CLASSIFICATION AT PERK FOREST IN LORESTAN PROVINCE. JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY, 23(SUPPLEMENT 1), 69-96. SID. https://sid.ir/paper/156833/en

Vancouver: Copy

VEISKARAMI Z., PILEHVAR B., VEISKARAMI GH.H.. APPLICATION OF QUANTITATIVE METHODS IN VEGETATION CLASSIFICATION AT PERK FOREST IN LORESTAN PROVINCE. JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY[Internet]. 2016;23(SUPPLEMENT 1):69-96. Available from: https://sid.ir/paper/156833/en

IEEE: Copy

Z. VEISKARAMI, B. PILEHVAR, and GH.H. VEISKARAMI, “APPLICATION OF QUANTITATIVE METHODS IN VEGETATION CLASSIFICATION AT PERK FOREST IN LORESTAN PROVINCE,” JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY, vol. 23, no. SUPPLEMENT 1, pp. 69–96, 2016, [Online]. Available: https://sid.ir/paper/156833/en

Related Journal Papers