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Vegetation-environment relationships in the forests of Chitral district Hindukush range of Pakistan 被引量:8
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作者 Nasrullah Khan Syed Shahid Shaukat +1 位作者 Moinuddin Ahmed Muhammad Faheem Siddiqui 《Journal of Forestry Research》 SCIE CAS CSCD 2013年第2期205-216,共12页
We investigated the composition of plant communities to quantify their relationships with environmental parameters in the Chitral Hindukush range of Pakistan. We sampled tree vegetation using the Point Centered Quart... We investigated the composition of plant communities to quantify their relationships with environmental parameters in the Chitral Hindukush range of Pakistan. We sampled tree vegetation using the Point Centered Quarter (PCQ) method while understory vegetation was sampled in 1.5-m circular quadrats. Cedrus deodara is the national symbol of Pakistan and was dominant in the sampled communities. Because environmental variables determine vegetation types, we analyzed and evaluated edaphic and topographic factors. DCA-Ordination showed the major gradient as an amalgam of elevation (p〈0.05) and slope (p〈0.01) as the topographic factors correlated with species distribution. Soil variables were the factors of environmental significance along DCA axes. However, among these factors, Mg2+ , K + and N2+ contributed not more than 0.054% 0.20% and 0.073%, respectively, to variation along the first ordination axis. We conclude that the principal reason for weak or no correlation with many edaphic variables was the anthropogenic disturbance of vegetation. The understory vegetation was composed of perennial herbs in most communities and was most dense under the tree canopy. The understory vegetation strongly regulates tree seedling growth and regeneration patterns. We recommend further study of the understory vegetation using permanent plots to aid development of forest regeneration strategies. 展开更多
关键词 environmental relationship multivariate analysis cluster analysis ORDINATION anthropogenic factors forest Hindukush range
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Vegetation-environment relationship in conifer dominating forests of the mountainous range of Indus Kohistan in northern Pakistan 被引量:1
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作者 Adam KHAN Moinuddin AHMED +6 位作者 Muhammad Faheem SIDDIQI Mohib SHAH Eduardo Soares CALIXTO Afsheen KHAN Paras SHAH Javed IQBAL Muhammad AZEEM 《Journal of Mountain Science》 SCIE CSCD 2020年第8期1989-2000,共12页
Environmental variables play a crucial role in shaping vegetation structure,mainly in mountainous ecosystems.Different studies have attempted to identify the environment-vegetation relationship of Conifer Dominating F... Environmental variables play a crucial role in shaping vegetation structure,mainly in mountainous ecosystems.Different studies have attempted to identify the environment-vegetation relationship of Conifer Dominating Forests(CDF)worldwide.However,due to differences in local climate and soil composition,different environmental drivers can be found.By applying multivariate analysis techniques,this study investigated the vegetation-environment relationship of CDF of Indus Kohistan in northern Pakistan.Our results showed that CDF of Indus Kohistan are distributed in five distinct ecological groups,which are dominated by different trees and understory species.A total of 7 trees and 71 understory species were recorded from the sampling sites.Cedrus deodara was the leading species among four groups,having the highest importance value(IV),density and basal area.Group I was dominated by Pinus wallichiana with the second highest importance value,density and basal area.In addition,elevation,slope,maximum water holding capacity(MWHC),soil moisture(SM),total organic matter(TOM),sodium,phosphorus and nickel showed highly significant influence on composition and distribution pattern of Indus Kohistan vegetation.Therefore,this study shows a new evidence of vegetation-environment relationship,pointing out specific drivers of vegetation structure in CDF of Indus Kohistan region in northern Pakistan. 展开更多
关键词 Conifer forests Understory species Environmental variables Multivariate analysis Indus Kohistan Northern Pakistan
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