Vegetation mapping and multivariate approach to indicator species of a forest ecosystem: A case study from the Thandiani sub Forests Division (TsFD) in the Western Himalayas

Khan, Waqas; Khan, Shujaul Mulk; Ahmad, Habib; Ahmad, Zeeshan; Page, Sue

doi:10.1016/j.ecolind.2016.06.059

Cited by 62 publications

(41 citation statements)

References 35 publications

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“…Plant species distribution pattern and composition changes along various environmental factors in a gradual manner as a function of continuity in environmental gradient. Three major habitat types of the study area, were demarcated which could be compared with other studies where same techniques were used (Khan et al, 2016a;Khan et al, 2016b;Pruchniewicz, 2017). These studies assessed the influence of various environmental variables on plant species distribution and composition.…”

Section: Discussionmentioning

confidence: 99%

“…At each direction from central point 10 stations were established at one Km interval up to the distance of 10 Km (A total of 120 quadrats). The size of quadrats were kept 1×1 m 2, 5×5 m 2 and 10×10 m 2 for herbs, shrubs and trees respectively Khan et al, 2013;Khan et al, 2016a). The phyto-sociological attributes i.e., Frequency (F), Density (D), Cover (C), Relative Frequency (RF), Relative Cover (RC).…”

Section: Vegetation Samplingmentioning

confidence: 99%

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Response of different plant species to pollution emitted from oil and gas plant with special reference to heavy metals accumulation

Noreen¹,

Khan²,

Alsubeie³

et al. 2019

PAK.J.BOT.

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It was hypothesized that different plant species vary in response to the oil and gas pollution in terms of composition and distribution pattern as well. Some of the plants have more tolerance to heavy metals accumulation in polluted ecosystem than others. Quantitative ecological techniques using quadrat methods were applied in a stratified random design around the Nashpa Oil and Gas Plant District Karak to check specific plant indicators that can grow, survive and show more tolerance against Oil and Gas pollution. In four directions from Gas Plant 10 stations were established at a distance of one Km from each other. Different size of quadrats i.e. 1×1 m 2, 5×5 m 2 and 10×10 m 2 for herbs, shrubs and trees were used respectively. The phyto-sociological attributes of each species (density, relative density, frequency, relative frequency, cover, relative cover and Importance Values Index) were measured at each station. Furthermore, Calotropis procera was investigated for Pb, Cr and Cu heavy metals accumulation uisng atomic absorption spectrophotometer. All the collected data matrices were analyzed via Cluster analysis and Canonical Correspondence Analysis (CCA) using PC-ORD version 5 and CANOCO software. A total of 113 plant species were recorded belonging to 44 families from the Nashpa Oil and Gas Plant. Dominant and rare plants of heavy, moderate and less-polluted regions were identified and assessed. Result showed that Calotropis procera has more tolerant against pollution. It was concluded that the Oil & Gas Plant has significant effect on surrounding habitat plants for heavy metal accumulation. Higher concentration of K, pH and organic matter has significant effects (p≤0.002) on plant species diversity and its distribution pattern. Result of Pb and Cu accumulation in C. procera showed heavy metals accumulation increased from less polluted sites towards moderate and more polluted regions gradually. It is recommended that further study needed to examine other dominant species as well.

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Section: Discussionmentioning

confidence: 99%

Section: Vegetation Samplingmentioning

confidence: 99%

Response of different plant species to pollution emitted from oil and gas plant with special reference to heavy metals accumulation

Noreen¹,

Khan²,

Alsubeie³

et al. 2019

PAK.J.BOT.

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“…There is a growing trend in ecological research to study the relationships between abiotic and biotic components of an ecosystem (Tavili and Jafari 2009;Khan et al 2016). Vegetation is the expression of environment in a specific habitat at a specific time and hence needs to be properly studied in relation to its surroundings at both species and community levels (Khan et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Ecological Assessment of Plant Communities and Associated Edaphic and Topographic Variables in the Peochar Valley of the Hindu Kush Mountains

Rаhmаn

Khan

et al. 2016

Mountain Research and Development

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“…The soil properties cause heterogeneity over space and time and regulate the vegetation abundance (Silva and Batalha 2008;Brinkmann et al 2009;Otýpková et al 2011;Zhang et al 2015). According to the previous researches, some soil variables have been identified as a determinant of species abundance distribution, for example, pH (Rodríguez-Loinaz et al 2008;Hofmeister et al 2009;Laganière et al 2009;Royer-Tardif and Bradley 2011;Haberl et al 2012;Pourbabaei and Adel 2015;Ullah et al 2015), available K and total N (Qian et al 2014;An et al 2015), organic matter (Liu et al 2012), rock content and bulk density (Wang et al 2016), soil depth (Zhang et al 2016), phosphorus content and electrical conductivity (Khan et al 2016), concentration levels of K, Ca, P, CEC, and fertility index (Nadeau and Sullivan 2015), and CEC, OM, Fe, P, Mg, pH, Mn, Pb, Zn, Cu, sand, and clay proportion (Vincent and Meguro 2008).…”

Section: Discussionmentioning

confidence: 99%

Short Communication: Floristic composition and relationships between plant species abundance and soil properties in common hazel (Corylus avellana) mountainous forest of northern Iran

et al. 2018

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Bin-Salman SA, Amasha RH, Jastaniah SD, Aly MM, Altaif K. 2018. Isolation, molecular characterization and extracellular enzymatic activity of culturable halophilic bacteria from hypersaline natural habitats. Biodiversitas 19: 1828-1834. Saline habitats, like the Dead Sea, are unusual extreme environments, due to their extreme salinity. Most saline habitats originate from the evaporation of seawater, and have a nearly neutral to slightly alkaline pH (such as the Red Sea (pH8.3) and Arabian Gulf, pH8.3). Ten halophilic bacterial strains (two Gram-negative) belonging to the family of Halomonadaceae and (eight Gram-positive), belonging to the family of Bacillaceae, were isolated from the Red Sea, Arabian Gulf, and Dead Sea by subjecting the isolates to a high salinity medium, followed by identification using 16S rRNA gene sequencing. Four of isolates were designated on the basis of their tolerance to high salinity; SBR1 exhibited 97% homology to Halomonas aquamarina, SBR2 showed 97% homology to Sediminibacillus sp., (Red Sea), SBA9 exhibited 94% homology to Halobacillus sp., (Arabian Gulf) and SBD17 gave 98% homology to Halobacillus dabanensis (Dead Sea). The isolates were also characterized by their physiological parameters, SBR1 showed optimum growth at 30°C, pH8.5 and1.5M NaCl, SBR2 at 30°C, pH6.0 and 1M NaCl. Optimum conditions for SBA9 were 35°C, pH6.5 and 1M NaCl and for SBD17, 37°C, pH7.0 and 1M NaCl.

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Vegetation mapping and multivariate approach to indicator species of a forest ecosystem: A case study from the Thandiani sub Forests Division (TsFD) in the Western Himalayas

Cited by 62 publications

References 35 publications

Response of different plant species to pollution emitted from oil and gas plant with special reference to heavy metals accumulation

Response of different plant species to pollution emitted from oil and gas plant with special reference to heavy metals accumulation

Ecological Assessment of Plant Communities and Associated Edaphic and Topographic Variables in the Peochar Valley of the Hindu Kush Mountains

Short Communication: Floristic composition and relationships between plant species abundance and soil properties in common hazel (Corylus avellana) mountainous forest of northern Iran

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