Zeeshan Ahmad
Quaid-i-Azam University
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Saudi Journal of Biological Sciences | 2016
Zeeshan Ahmad; Shujaul Mulk Khan; Elsayed Fathi Abd_Allah; Abdulaziz A. Alqarawi; Abeer Hashem
Weeds are unwanted plant species growing in ordinary environment. In nature there are a total of 8000 weed species out of which 250 are important for agriculture world. The present study was carried out on weed species composition and distribution pattern with special reference to edaphic factor and farming practices in maize crop of District Mardan during the months of August and September, 2014. Quadrates methods were used to assess weed species distribution in relation to edaphic factor and farming practices. Phytosociological attributes such as frequency, relative frequency, density, relative density and Importance Values were measured by placing 9 quadrates (1 × 1 m2) randomly in each field. Initial results showed that the study area has 29 diverse weed species belonging to 27 genera and 15 families distributed in 585 quadrats. Presence and absence data sheet of 29 weed species and 65 fields were analyzed through PC-ORD version 5. Cluster and Two Way Cluster Analyses initiated four different weed communities with significant indicator species and with respect to underlying environmental variables using data attribute plots. Canonical Correspondence Analyses (CCA) of CANOCO software version 4.5 was used to assess the environmental gradients of weed species. It is concluded that among all the edaphic factors the strongest variables were higher concentration of potassium, organic matter and sandy nature of soil. CCA plots of both weed species and sampled fields based on questionnaire data concluded the farming practices such as application of fertilizers, irrigation and chemical spray were the main factors in determination of weed communities.
Saudi Journal of Biological Sciences | 2017
Murad Khan; Shujaul Mulk Khan; Muhammad Ilyas; Abdulaziz A. Alqarawi; Zeeshan Ahmad; Elsayed Fathi Abd_Allah
The current analyses of vegetation were aimed to study the different effects of environmental variables and plant species and communities interaction to these variables, identified threats to local vegetation and suggestion for remedial measures in the Mount Eelum, Swat, Pakistan. For assessment of environmental variability quantitative ecological techniques were used through quadrats having sizes of 2 × 2, 5 × 5 and 10 × 10 m2 for herbs, shrubs and trees respectively. Result of the present study revealed 124 plant species in the study area. Canonical Correspondence Analysis (CCA) was used to analyze the ecological gradient of vegetation. The environmental data and species abundance were used in CANOCO software version 4.5. The presence absence data of plant species were elaborated with Cluster and Two Way Cluster Analysis techniques using PC-ORD version 5 to show different species composition that resulted in five plant communities. Findings indicate that elevation, aspect and soil texture are the strongest variables that have significant effect on species composition and distribution of various communities shown with P value 0.0500. It is recommended to protect and use sensibly whole of the Flora normally and rare species particularly in the region.
Saudi Journal of Biological Sciences | 2017
Saira Bano; Shujaul Mulk Khan; Jan Alam; Abdulaziz A. Alqarawi; Elsayed Fathi Abd_Allah; Zeeshan Ahmad; Inayat Ur Rahman; Habib Ahmad; Abdullah Aldubise; Abeer Hashem
The present study was conducted to elaborate vegetation composition structure to analyze role of edaphic and topographic factors on plant species distribution and community formation during 2013–14. A mixture of quadrat and transect methods were used. The size of quadrat for trees shrubs and herbs were 10 × 5, 5 × 2, 1 × 1 meter square respectively. Different phytosociological attribute were measured at each station. Primary results reported 123 plant species belong to 46 families. Asteraceae and Lamiaceae were dominant families with 8 species each. PCORD version 5 were used for Cluster and Two Way Cluster Analyses that initiated 4 plant communities within elevation range of 529–700 m from sea level. Indicator species analyses (ISA) were used to identify indicator species of each community. CANOCO Software (version 4.5) was used to measure the influence of edaphic and topographic variables on species composition, diversity and community formation. Whereas Canonical Correspondence Analysis (CCA) was used to measure the effect of environmental variables which showed elevation and aspect were the stronger environmental variable among topographic and CaCO3 contents, electric conductivity, soil pH were the stronger edaphic factors in determination of vegetation and communities of the Bheer Hills. Grazing pressure was one of the main anthropogenic factors in this regard.
Saudi Journal of Biological Sciences | 2017
Saira Bano; Shujaul Mulk Khan; Jan Alam; Abdulaziz A. Alqarawi; Elsayed Fathi Abd_Allah; Zeeshan Ahmad; Inayat Ur Rahman; Habib Ahmad; Abdullah Aldubise; Abeer Hashem
The present study was conducted to elaborate vegetation composition structure to analyze role of edaphic and topographic factors on plant species distribution and community formation during 2013–14. A mixture of quadrat and transect methods were used. The size of quadrat for trees shrubs and herbs were 10 × 5, 5 × 2, 1 × 1 meter square respectively. Different phytosociological attribute were measured at each station. Primary results reported 123 plant species belong to 46 families. Asteraceae and Lamiaceae were dominant families with 8 species each. PCORD version 5 were used for Cluster and Two Way Cluster Analyses that initiated 4 plant communities within elevation range of 529–700 m from sea level. Indicator species analyses (ISA) were used to identify indicator species of each community. CANOCO Software (version 4.5) was used to measure the influence of edaphic and topographic variables on species composition, diversity and community formation. Whereas Canonical Correspondence Analysis (CCA) was used to measure the effect of environmental variables which showed elevation and aspect were the stronger environmental variable among topographic and CaCO3 contents, electric conductivity, soil pH were the stronger edaphic factors in determination of vegetation and communities of the Bheer Hills. Grazing pressure was one of the main anthropogenic factors in this regard.
Saudi Journal of Biological Sciences | 2017
Saira Bano; Shujaul Mulk Khan; Jan Alam; Abdulaziz A. Alqarawi; Elsayed Fathi Abd_Allah; Zeeshan Ahmad; Inayat Ur Rahman; Habib Ahmad; Abdullah Aldubise; Abeer Hashem
The present study was conducted to elaborate vegetation composition structure to analyze role of edaphic and topographic factors on plant species distribution and community formation during 2013–14. A mixture of quadrat and transect methods were used. The size of quadrat for trees shrubs and herbs were 10 × 5, 5 × 2, 1 × 1 meter square respectively. Different phytosociological attribute were measured at each station. Primary results reported 123 plant species belong to 46 families. Asteraceae and Lamiaceae were dominant families with 8 species each. PCORD version 5 were used for Cluster and Two Way Cluster Analyses that initiated 4 plant communities within elevation range of 529–700 m from sea level. Indicator species analyses (ISA) were used to identify indicator species of each community. CANOCO Software (version 4.5) was used to measure the influence of edaphic and topographic variables on species composition, diversity and community formation. Whereas Canonical Correspondence Analysis (CCA) was used to measure the effect of environmental variables which showed elevation and aspect were the stronger environmental variable among topographic and CaCO3 contents, electric conductivity, soil pH were the stronger edaphic factors in determination of vegetation and communities of the Bheer Hills. Grazing pressure was one of the main anthropogenic factors in this regard.
Ecological Indicators | 2016
Waqas Khan; Shujaul Mulk Khan; Habib Ahmad; Zeeshan Ahmad; Susan E. Page
Journal of Ethnobiology and Ethnomedicine | 2016
Zaheer Abbas; Shujaul Mulk Khan; Arshad Mehmood Abbasi; Andrea Pieroni; Zahid Ullah; Muhammad Sajjad Iqbal; Zeeshan Ahmad
Ecological Indicators | 2018
Muhammad Sajjad Iqbal; Shujaul Mulk Khan; Muhammad Azim Khan; Zeeshan Ahmad; Habib Ahmad
advanced information networking and applications | 2018
Rasool Bukhsh; Nadeem Javaid; Zafar Iqbal; Usman Ahmed; Zeeshan Ahmad; Muhammad Nadeem Iqbal
Archive | 2016
Zeeshan Ahmad; Shujaul Mulk Khan