干旱区生态环境知识资源中心(Arid): Vegetation analysis and environmental indicators of an arid tropical forest ecosystem of Pakistan

Arid

DOI	10.1016/j.ecolind.2022.109291
	Vegetation analysis and environmental indicators of an arid tropical forest ecosystem of Pakistan
	Majeed, Muhammad; Khan, Arshad Mahmood; Habib, Tariq; Anwar, Muhammad Mushahid; Sahito, Hakim Ali; Khan, Nasrullah; Ali, Kishwar
通讯作者	Ali, K
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2022
卷号	142
英文摘要	Vegetation composition and/or plant species co-existence is influenced by the environmental variations in any region. The ecological knowledge and order of importance of selected environmental variations is important in conservation and management of plant resources. Based on relevant knowledge gap, the study area of district Jhelum, Pakistan lying in an arid-tropical zone was selected to explore the vegetation types and their driving environmental factors by using latest multivariate statistical approaches. For this, the entire district was ecologically explored to collect the natural wild vegetation and environmental data from January 2018 to December 2020. The study area was partitioned into 171 grids (5 x 5 km2). In each grid, three sites were randomly selected (i.e. 513 samples), and subsequently-nine plots were laid at each sampling site (i.e. 1539 plots). Different statistical tests including Monte Carlo permutation test, Indicator Species Analysis (ISA), hierarchical classification, ordination, and variation partitioning were applied to seek the potential number of vegetation types, plant species composition, classification of the studied samples, order of importance of the considered predictors and groups of environmental variables respectively. The findings of this study indicated that all the documented 291 plant species belong to five statistically significant (p < 0.05) plant commu-nities. Out of thirty (30) considered environmental variables, canonical correspondence analysis suggested the sig-nificant role of distance from the river, altitude, latitude, slope, temperature, rainfall, distance from the cropland, grazing and deforestation pressure, and soil pollutants including chromium, arsenic and nickel concentrations. Similarly, plant diversity patterns were found strongly associated with the selected local environmental conditions. This study concluded that distance from the river (a potential leading proxy of ground water table depth) is relatively more important than the rainfall variability in this tropical arid area. Hence, the relative proportion of xerophytic plant species was found higher in the western parts compared to eastern parts adjoining the river Jhelum. Anthropogenic disturbances and potentially toxic metals were found disrupting the normal ecosystem functioning at the local scale in this arid tropical region, and need immediate attention to save the valuable local biodiversity.
英文关键词	Vegetation diversity Variation partitioning Indicator species analysis Canonical correspondence analysis Plant diversity
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000868333000002
WOS关键词	JAMMU-AND-KASHMIR ; WESTERN HIMALAYAN FORESTS ; BETA-DIVERSITY ; SALT RANGE ; SPECIES COMPOSITION ; MEDICINAL-PLANTS ; MUZAFFARABAD DISTRICT ; CONSERVATION STATUS ; RIPARIAN FORESTS ; SOIL PROPERTIES
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392335
推荐引用方式 GB/T 7714	Majeed, Muhammad,Khan, Arshad Mahmood,Habib, Tariq,et al. Vegetation analysis and environmental indicators of an arid tropical forest ecosystem of Pakistan[J],2022,142.
APA	Majeed, Muhammad.,Khan, Arshad Mahmood.,Habib, Tariq.,Anwar, Muhammad Mushahid.,Sahito, Hakim Ali.,...&Ali, Kishwar.(2022).Vegetation analysis and environmental indicators of an arid tropical forest ecosystem of Pakistan.ECOLOGICAL INDICATORS,142.
MLA	Majeed, Muhammad,et al."Vegetation analysis and environmental indicators of an arid tropical forest ecosystem of Pakistan".ECOLOGICAL INDICATORS 142(2022).