Shaheen Qadir, Adeela Altaf,
Muhammad Hashim, Eamon Bushra, Asia BiBi,
Nazir Ahmad, Ishtiaq Ahmad, Kaneez Fatima, and Altaf Ahmad Dasti, from
the different institute of Pakistan. wrote a Research article about, Roadside
Flora in Transition: Plant Communities Across Pine Forest Elevations. Entitled,
Distribution of roadside plant communities along the altitudinal gradient in
pine forests, Pakistan. This research paper published by the International Journal of Biosciences | IJB. an open access scholarly research journal
on Biosciences. under the affiliation of the International Network
For Natural Sciences| INNSpub. an open access multidisciplinary research
journal publisher.
Abstract
In mountainous areas,
road construction is accompanied by large‐scale physical disturbance that
drastically modify the landscape. Road construction and cutting process of
mountains removes soil and rock from the hillside above the proposed road,
while soil and rock are deposited on the down‐slope area. The resultant
roadsides are highly disturbed habitats characterized by plant communities
maintained at an early successional stage. The present research was conducted
along the roadside, consisting of Nathia Gali (Temperate forest), Abbottabad
(Tropical forest) and Thandiani Valley (Sub alpine forest) to determine the
associations and relationships between the plant communities and soil, grouping
and quantification of plant communities using multivariate ordination
techniques. The study area ranges in altitude from 2400 to 2700 m, a.s.l. A
total 74 genera having 82 species belonging to 44 families were recorded during
the field survey. The major families were Rosaceae (30%), Lamiaceae (23%) and
Asteraceae (17%). Other families also contributed a good share in flora. Herbs
contributed the more share followed by shrubs and trees. Presence/absence data
were used to classify and ordinate for both sites and species. DCA axes 1 and 2
were used for data interpretation. The relationships between soil characters and
DCA axes 1 and 2 were determined using Spearman Rank correlation. Cluster
analysis identified 3 vegetation types. These vegetation types have been
discussed in the context of topographic and edaphic heterogeneity.
Read more : Roadside Leaves as Pollution Sensors: Weather and Particulates in Quetta | InformativeBD
Introduction
Roads are designed as
major channels of intercommunication between the communities existing in
disparate strata of earth, yet it is pervasive disturbance with far-reaching
impacts on vegetation and plant community composition (Coffin, 2007; Cui et
al., 2009). Vegetation recovery is essential to stabilize slopes (Fu et al., 2010),
increase water infiltration capacity (Walton et al., 2014), and reduce erosion
and sedimentation of watersheds (Donaldson et al., 2013). Vegetation recovery
following road construction is dynamic, variable and is strongly influenced by
underlying edaphic and environmental conditions (Dong et al., 2010).
Roads often traverse
heterogeneous substrate e.g. parent material/rock type (Deduke et al., 2016;
Walker et al., 2013) that directly influence additional edaphic factors (Hahm
et al., 2014; Ullmann et al., 1995; Abella et al., 2008). In particular,
substrate variability influences on vegetation and species composition of
roadside slopes (Neher et al., 2013). For the distribution pattern of different
animals and plants varieties roadsides can also considered as entranceway and
habitats or barriers (Angold, 1997).
Plant communities of
roadside also provides refugees for the conservation of isolated or relict
population of plant species in highly modified regions where novel ecosystems
are emerging (Dolley and Audet, 2013). For example, soil depth and texture are
strong determinants of nutrient contents (Li et al., 2016) which subsequently
influence plant species diversity and long term species persistence following
disturbance (Cui et al., 2009; He and Monaco, 2018) and roads are mostly noted
as assisting to the spatial spread of alien species, since they express the
basic corridor for various invader floristic species introduction, with high
reproductive rates and short life spans (Parendes and Jones, 2000).
Although mountain
ecosystems are considered to be at low risk of plant invasion due to their
harsh climate and limited human activities but the promotion of mountain areas,
particularly the Himalayan region (Khuroo et al., 2007), as global tourist destination
has put these ecosystems at higher risk of invasion. Pickering and Hill (2007)
described that distribution pattern of invasive plants along roadsides varied
with altitude and road construction facilitated plant invasion in mountainous
regions. Arevalo et al. (2005) revealed that at elevation of (1900-2000 m) the
maximum quantity of alien vegetation present. Pauchard and Alaback, (2004)
illustrated that along roadside with the variation of altitude between (280-
1290 m) alien varieties richness was negatively associated with altitude.
Along the environmental
gradient the various well known factors that find out the distribution of the
plant species include topographic heterogeneity and particularly elevation
(Liberman et al., 1985), Rain fall (Hall and Swaine, 1976) and redistribution
of rain fall water (Shmida et al., 1986), Edaphic factors particularly
Topography(Richards, 1996), Soil texture (Davis et al., 1998), Light
availability (Liberman et al., 1995), Drainage (Hubbell and Foster, 1986), Soil
nutrients (Baillie et al., 1987), Light regime and the degree of anthropogenic
other catastrophic disturbances (Perkins and Hatfield, 2014).
However, roadside
exotic or native plant communities help in conserving landscape qualities
(Khalid et al., 2008). They are also essential places to observe the floristic
communities, patterns of distribution and their potential for incursion into
interior environment (Trombulak and Frissell, 2000). Furthermore, roadsides are
helpful for discovering the effect of climatic factors on distribution pattern
of plant species across a various altitudinal gradient (Antonio et al., 2001).
In the present
investigation, we assessed variation in vegetation structure and plant
community composition along express highways radiating from Murree outward into
Abbottabad and Thandiani in Northern Pakistan. Our primary objectives were to
identify vegetation structure and plant community composition along the
roadside and to relate roadside vegetation and environmental heterogeneity that
affects the vegetation patterns along roadside crossing Himalayan forests in
Pakistan.
To achieve the
objectives of the present investigation, numerical analysis of the data was
preferred. Multivariate analysis techniques are the swift tools for ecologist.
Ordination analysis is also important statistical tool to elucidate major axes
on compositional variation in vegetation data obtained from presence/absence
record of species. Cluster analysis is mostly used (Charman et al., 1993;
Franklin et al., 1999). The results of species DCA were used to correlate the
response of species for edaphic variations (Dasti et al., 2010).
The aims of the present
study were To relate roadside vegetation and environmental heterogeneity that
affects the vegetation patterns along the roadside crossing Himalayan forests
in Pakistan.
To identify the
environmental factors of overriding importance in determining the nature of
plant communities in these landscapes.
To know the factors
which control the distribution pattern of species?
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