Multivariate analysis of environmental and vegetation data of Ayub National Park Rawalpindi
National Parks are designated to protect the ecological integrity of one or more ecosystems for present and future generations. Pakistan has more than 20 national parks. The aim of this research was to quantify the vegetation in Ayub National Park using ordination techniques. The research was cond...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Soil Science Society of Pakistan (SSSP)
2009-05-01
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| Series: | Soil & Environment |
| Subjects: | |
| Online Access: | http://se.org.pk/File-Download.aspx?archivedpaperid=108 |
| _version_ | 1818874715212611584 |
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| author | T. Jabeen S.S. Ahmad |
| author_facet | T. Jabeen S.S. Ahmad |
| author_sort | T. Jabeen |
| collection | DOAJ |
| description | National Parks are designated to protect the ecological integrity of one or more ecosystems for present and
future generations. Pakistan has more than 20 national parks. The aim of this research was to quantify the
vegetation in Ayub National Park using ordination techniques. The research was conducted to determine the soilvegetation relationship and quantify the floristic composition of National Park vegetation data of Ayub National
Park. The data was recorded using quadrat method. A strategy of simple random sampling was used for naturally
grown plants (herbs and shrubs). Thirty quadrats were tossed randomly at different locations and spies were
identified. In all 44 plant species were identified. The soil of each quadrate was taken as environmental variable for
electrical conductivity, pH and heavy metals detection. Classification and ordination were carried out using PCOrd version 5 CANOCO 4.5. Vegetation profile of study area resulted in ten most abundant species present in Ayub
National Park having cover value of >15%. Classification of vegetation data with TWINSPAN resulted in species
dichotomy, represented by two major communities. Deterended Correspondence Analysis (DCA), results indicated
the presence of four major plant communities, while Canonical Correspondence Analysis (CCA), results confirmed
the species correlation and association with soil with the help ofsoil EC, pH, and with heavy metals detection. |
| first_indexed | 2024-12-19T13:15:00Z |
| format | Article |
| id | doaj.art-cace5af2894e4671a5c8bf79cc54cdf6 |
| institution | Directory Open Access Journal |
| issn | 2074-9546 2075-1141 |
| language | English |
| last_indexed | 2024-12-19T13:15:00Z |
| publishDate | 2009-05-01 |
| publisher | Soil Science Society of Pakistan (SSSP) |
| record_format | Article |
| series | Soil & Environment |
| spelling | doaj.art-cace5af2894e4671a5c8bf79cc54cdf62022-12-21T20:19:51ZengSoil Science Society of Pakistan (SSSP)Soil & Environment2074-95462075-11412009-05-01282106112Multivariate analysis of environmental and vegetation data of Ayub National Park RawalpindiT. Jabeen0S.S. Ahmad1Department of Environmental Sciences, Fatima Jinnah Women University, Rawalpindi, PakistanDepartment of Environmental Sciences, Fatima Jinnah Women University, Rawalpindi, PakistanNational Parks are designated to protect the ecological integrity of one or more ecosystems for present and future generations. Pakistan has more than 20 national parks. The aim of this research was to quantify the vegetation in Ayub National Park using ordination techniques. The research was conducted to determine the soilvegetation relationship and quantify the floristic composition of National Park vegetation data of Ayub National Park. The data was recorded using quadrat method. A strategy of simple random sampling was used for naturally grown plants (herbs and shrubs). Thirty quadrats were tossed randomly at different locations and spies were identified. In all 44 plant species were identified. The soil of each quadrate was taken as environmental variable for electrical conductivity, pH and heavy metals detection. Classification and ordination were carried out using PCOrd version 5 CANOCO 4.5. Vegetation profile of study area resulted in ten most abundant species present in Ayub National Park having cover value of >15%. Classification of vegetation data with TWINSPAN resulted in species dichotomy, represented by two major communities. Deterended Correspondence Analysis (DCA), results indicated the presence of four major plant communities, while Canonical Correspondence Analysis (CCA), results confirmed the species correlation and association with soil with the help ofsoil EC, pH, and with heavy metals detection.http://se.org.pk/File-Download.aspx?archivedpaperid=108Ayubia National ParkSoil-vegetation relationshipmultivariate analysis |
| spellingShingle | T. Jabeen S.S. Ahmad Multivariate analysis of environmental and vegetation data of Ayub National Park Rawalpindi Soil & Environment Ayubia National Park Soil-vegetation relationship multivariate analysis |
| title | Multivariate analysis of environmental and vegetation data of Ayub National Park Rawalpindi |
| title_full | Multivariate analysis of environmental and vegetation data of Ayub National Park Rawalpindi |
| title_fullStr | Multivariate analysis of environmental and vegetation data of Ayub National Park Rawalpindi |
| title_full_unstemmed | Multivariate analysis of environmental and vegetation data of Ayub National Park Rawalpindi |
| title_short | Multivariate analysis of environmental and vegetation data of Ayub National Park Rawalpindi |
| title_sort | multivariate analysis of environmental and vegetation data of ayub national park rawalpindi |
| topic | Ayubia National Park Soil-vegetation relationship multivariate analysis |
| url | http://se.org.pk/File-Download.aspx?archivedpaperid=108 |
| work_keys_str_mv | AT tjabeen multivariateanalysisofenvironmentalandvegetationdataofayubnationalparkrawalpindi AT ssahmad multivariateanalysisofenvironmentalandvegetationdataofayubnationalparkrawalpindi |