Literature DB >> 29740247

Eco-Floristic studies of native plants of the Beer Hills along the Indus River in the districts Haripur and Abbottabad, Pakistan.

Saira Bano1, Shujaul Mulk Khan2, Jan Alam1, Abdulaziz A Alqarawi3, Elsayed Fathi Abd Allah3, Zeeshan Ahmad2, Inayat Ur Rahman1, Habib Ahmad4, Abdullah Aldubise3, Abeer Hashem5.   

Abstract

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.

Entities:  

Keywords:  CA, Cluster Analysis; CCA, Canonical Correspondence Analysis; Canonical Correspondence Analysis (CCA); DBH, diameter at breast height; Edaphic factor; Floristic study; ISA, Indicator Species Analysis; IVI, Importance Value Index; PC-ORD; Plant communities; S, station; T, transect; TWCA, Two Way Cluster Analysis

Year:  2017        PMID: 29740247      PMCID: PMC5936874          DOI: 10.1016/j.sjbs.2017.02.009

Source DB:  PubMed          Journal:  Saudi J Biol Sci        ISSN: 1319-562X            Impact factor:   4.219


Introduction

The plant communities are a complex quantitative hierarchy in the vegetation science that always depends on species richness, distribution and associated ecological factors (Gaston, 2000, Maurer, 1999). These have previously been described floristically as well as physiognomically in number of ways. They have a demarcated structure in an area in relation to biotic and a biotic variation (Kent and Coker, 1992, Van Rooyen et al., 1981, Roberts and Wuest, 1999, Tainton et al., 1996, Cleaver et al., 2005, Brown and Bezuidenhout, 2005). Vegetation structure is usually influenced by environmental gradient and anthropogenic activates. In addition the edaphic and topographic factors also play a vital role in communities formation that ultimately leads to specific phytogeographic regions (Rohde, 1992). Ecological researches always tend to understand and quantify the relationship between biotic and a biotic components of an ecosystem (Tavili and Jafari, 2009). Various floristic analyses are used to identify the plant communities habitat types and important characteristic plant species (Katsuno, 1977, Fujiwara, 1987). In each sort of habitat each plant species has a microclimate and play its role in habitat formation (Duigan and Bredenkamp, 2003) and relations among populations (Scheiner, 1993). It is essential to measure and develop a suitable model to capture the natural features of an ecosystem for its sustainable use. Floristic analyses are the prerequisites for conservation of plant species. Therefore, current project was conducted to comprehend the role of such factor in the establishment of plant communities and its application in future conservation studies. The Beer Hills along the Indus River have not been studied using recently developed analytical methods for vegetation characterization. The current study was therefore conducted to find out the floristic composition and vegetation structure of plant communities in the targeted region using modern tools. For this purpose plant species composition, abundance and the environmental variability, with special reference to gradient analyses were taken into consideration during 2012–2013.

Materials and methods

The Beer Hills are located at the bank of Indus River in two districts of Khyber Pakhtunkhwa province of Pakistan i.e., District Abbottabad and District Haripur at 34°10′ North latitude and 72°58′ East longitude with elevation 529–700 m at sea level. The temperature and precipitation equally distributed throughout the year with humid subtropical sort of climate. A total of seven transects were established at 3 km distance and within each transect five stations were recognized at 200 m interval randomly along with elevation gradient. In this a total of 34 stations with three hundred and six (306) quadrats were established using GPS (Global Positioning system) (Khan et al., 2013b). Quadrat and transect methods were used on hill slopes at all stations. Sizes of the quadrates for trees, shrubs and herbs were 10 × 5 m, 5 × 2 m and 1 × 1 m respectively (Salzer and Willoughby, 2004). Data attributes i.e., density, relative density, cover, relative cover, frequency, relative frequency and Importance Values Index (IVI) were measured at each station. The diameters of trees were measured at breast height (DBH) to find out its cover value for trees. The biological spectrum was determined using Raunkiaer Life form classification (Raunkiaer, 1934). The plant specimens were collected in each quadrat, labeled with tags, and pressed with plant presser in the field. Specimens were poisoned using 3% solution of Mercuric Chloride and Ethyl Alcohol solution and mounted on standard size herbarium sheets having a size of (17.5″ × 11.5″). All specimens were identified with the help of flora of Pakistan and other available literature (Khan et al., 2013a).

Soil analyses

The soil samples were collected up to 45 cm depth from each station through soil sampling tube. The samples were sieved to remove large particles. The soil physiochemical analyses i.e., Soil Texture, Calcium, Carbonate, Organic Matter concentration, Soil pH, Electrical Conductivity (E.C), Phosphorus and Potassium were measured in Agriculture research station Baffa Mansehra. The soil texture and pH were measured through hydrometer and pH meter respectively (Khan et al., 2012a, Khan et al., 2012b, Koehler et al., 1984). While, soil organic matters were determined by standardized solution of FeSO4 and K2Cr2O7 (Nelson et al., 1996). Whereas CaCO3 concentration were determined by acid neutralization method (Black et al., 1965). AB-DTPA extractable P and K was determined in samples through method described by Soltanpour (1991).

Data analyses

The data were statistically analyzed to find out the relationship between plant species composition and various ecological variables. For the data analysis we put the data of seven transect (34 stations and 306 quadrates) in MS EXCEL and prepared presence absence (1, 0) data sheet for CA (Cluster Analysis) and TWCA (Two Way Cluster Analysis). The plant species data were arranged horizontally and quadrates data were arranged vertically according to the software (PC-ORD version 5 software) requirement (Lepš and Šmilauer, 2003). The species and environmental data matrices were analyzed in CANOCO software version 4.5 to find the effect of environmental variables on species composition and distribution pattern.

Results

A research study was conducted in Beers Hills to find out plant species distribution pattern, composition and abundance in relation to environmental variables and edaphic factors.

Species composition of the Beer Hills

A total of 123 plant species were collected belong to 46 families distributed in 34 stations included 27 trees, 23 shrubs and 73 herbs species of all the vegetation. The topmost dominant families were Asteraceae and Lamiaceae having eight plant species, 13% of all species. The Amranathaceae, Moraceae and Poaceae have seven species each. While Malvaceae and Solanaceae with six species each respectively.

Raunkier life form

The plant species were classified through Raunkiaer (1934) classification into 5 various life form classes. The Phanerophytes was the most dominant class with 52 plant species (42%) followed by Therophytes with 37 species (30%), Hemicryptophytes with 24 species (20%), Cryptophytes with 7 species (6%) and Chemaephytes having 3 species (2%) respectively (Table 2).
Table 2

Plant species and Family names with Raunkiaer Life form classes.

NO. SOBotanical name of PlantsFamily nameLife forms
1Acacia modista (Wall.)FabaceaePh
2Acacia nilotica (L.)Del.FabaceaePh
3Ailanthus altissima (Mill) SwingleSimaroubaceaePh
4Broussonetia papyrifera (L.) ventMoraceaePh
5Cassia fistula L.FabaceaePh
6Ceiba pentandra (L.) Gaerth.MalvaceaePh
7Citrus aurantium L.RutaceaePh
8Dalbergia sissoo Roxb.ex.DC.FabaceaePh
9Eriobatrya japonica (Thunb.) lindl.RosaceaePh
10Eucalyptus camaldulensis Dehnh.MyrtaceaePh
11Ficus benghalensis L.MoraceaePh
12Ficus carica L.MoraceaePh
13Ficus racemosa L.MoraceaePh
14Ficus religiosa L.MoraceaePh
15Juglans regia L.JuglandaceaePh
16Mallotus philippensis (Lam.) Muell.EuphorbiaceaePh
17Mangifera indica L.AnacardiaceaePh
18Melia azedarach L.MeliaceaePh
19Morus alba L.MoraceaePh
20Morus nigra L.MoraceaePh
21Olea ferruginea Royle.OleaceaePh
22Papulus ciliata Wall.ex.RoyleSalicaceaePh
23Pistacia integerrima J.L.Stewart ex BrandisAnacardiaceaePh
24Pterospermum acerifolium (L.) Willd.MalvaceaePh
25Punica granatum L.LythraceacPh
26Syzygium cumini (L.) SkeelsMyrtaceaePh
27Ziziphus jujuba Milli.RhamnaceaePh
28Aerva javanica (Burm.f.)shultAmaranthaceaeCh
29Berberis lycium Royle.BerberidaceaePh
30Calotropis procera (L.)AsclapiadaceaePh
31Colebrookea opposifolia SmLabiataePh
32Clerodendrum Philippinum multiplex.JPGVerbenaceaePh
33Carissa opaca L.ApocynaceaePh
34Cotoneaster dammeri C.K.Schneid.RosaceaePh
35Dodonaea viscose (L.) Jacq.SapindaceaePh
36Gymnosporia royleana Wall.CelastraceaePh
37Ipomoea carnea Jace.ConvolvulaceaeCr
38Jasminum nudiforum Lindl.OleaceaePh
39Jasminum officinale L.OleaceaePh
40Justicia adhatoda L.AcanthaceaePh
41Lantana camara L.VerbenaceaeCh
42Marrubium supinum L.LamiaceaePh
43Nerium oleander L.ApocynaceaePh
44Otostegia limbata (Beth.) BoissLamiaceaePh
45Parthenocissus semicordata Wall.VitaceaePh
46Periploca aphylla Decne.AsclepiadaceaePh
47Ricinus communis L.EuphorbiaceaePh
48Rubus fruticosus L.RosaceaePh
49Sageretia brendrethiana J.Linn.RhamnaceaePh
50Woodfordia fruticosa (L.) KurzLythraceacPh
51Ziziphus nummularia Burm.f.RhamnaceaePh
52Achyranthes asperaL.AmaranthaceaeHe
53Adiantum caudatum KlotzschPteridaceaeTh
54Ajuga bracteosa Wall.LamiaceaeHe
55Alternanthera hirtula (Mart.)AmaranthaceaeTh
56Alternanthera philoxeroides Griseb.AmaranthaceaeTh
57Amaranthus spinosus L.AmaranthaceaeTh
58Amaranthus viridis L.AmaranthaceaeTh
59Anthriscus sylvestris L.ApiaceaeTh
60Argemone mexicana L.PapaveraceaeTh
61Artemisia absinthium L.AsteraceaeTh
62Arundo donax L.PoaceaePh
63Avena barbata Pott ex LinkPoaceaeTh
64Barleria cristata L.AcanthaceaeHe
65Bidens pilosa L.AsteraceaeHe
66Brassica compestris L.BrassicaceaeTh
67Cannabis sativa L.CannabaceaeTh
68Celosia argentea L.AmaranthaceaeTh
69Chenopodium album L.ChenopodiaceaeHe
70Cichorium intybus L.AsteraceaeTh
71Commelina communis L.CommelinaceaeCr
72Convolvulus arvensis L.ConvolvulaceaeCr
73Conyza bonariensis L.AsteraceaeTh
74Conyza canadensis (L.) CronquistAsteraceaeTh
75Corchorus olitorius L.MalvaceaeTh
76Cynodon dactylon (L.)Pers.PoaceaeHe
77Cynoglossum zeylanicum (Lehm.)BrandBoraginaceaeHe
78Cyperus niveus Retz.CyperaceaeHe
79Cyperus rotundus L.CyperaceaeHe
80Datura alba L.SolanaceaeTh
81Debregeasia salicifolia N/AUrticaceaePh
82Delphinium bicolor Nutt.RanunculaceaeTh
83Diclipter roxburghiana T.Anders.AcanthaceaeTh
84Echinochloa colona (L.) link.PoaceaeHe
85Euphorbia helerophylla L.EuphorbiaceaeTh
86Euphorbia helioscopia L.EuphorbiaceaeTh
87Euphorbia hirta L.EuphorbiaceaeTh
88Hybiscus caesius Garcke var caesiusMalvaceaePh
89Ipomoea hederacea Jaeq.ConvolvulaceaeCr
90Ipomoea purpurea (L.) RathConvolvulaceaeCr
91Lepidium virginicum L.BrassicaceaeHe
92Leucas cephalota (Roth) Spreng.LamiaceaeTh
93Malva neglecta Wallr.MalvaceaeHe
94Malvastrum coromandelianum L.MalvaceaeHe
95Marsilea villosa Kanlf.MarsileaceaeCr
96Medico denculatus L.FabaceaeHe
97Melica persica KunthPoaceaeHe
98Mentha longiafolia (L.) Huds.LamiaceaeHe
99Mentha piperita L.LamiaceaeHe
100Mirabilis jalapa L.NyctaginaceaeTh
101Nasturtium officinale W.T.AitonBrassicaceaeTh
102Oxalis corniculata L.OxalidaceaeHe
103Oxalis corymbosa DC.OxalidaceaeHe
104Parthenium hysterophorus L.AsteraceaeHe
105Pastinaca sativa L.ApiaceaeTh
106Pentanema indicum (L.)LingAsteraceaeTh
107Persicaria globra Willd.PolygonaceaeTh
108Phegopteris connectilis (Michx.) WallThelypteridaceaeCr
109Physalis angulata L.SolanaceaePh
110Polygonum aviculare L.PolygonaceaeHe
111Ranunculus muricatus L.RanunculaceaeHe
112Rumex dentatus L.PolygonaceaeHe
113Salvia coccinea Buc.LamiaceaeTh
114Solanum nigrum L.SolanaceaeTh
115Solanum pseudocapsicum L.SolanaceaeTh
116Solanum surattense L.SolanaceaeTh
117Solanum virginanum L.SolanaceaeTh
118Sorghum vulgare L.PoaceaeTh
119Triticum aestivum L.PoaceaeTh
120Urtica dioica L.UrticaceaeTh
121Vaccaria pyramidata Medik.CaryophyllaceaeTh
122Verbascum thapsus L.ScrophulariaceaeHe
123Xanthium strumarium L.AsteraceaeCh

Ph = Phanerophyte; Ch = Chamaephytes; He = Hemicryptophytes; Cr = Cryptophytes; Th = Therophytes.

Data summary table of 123 plant species in relations with all he environmental variables. Plant species and Family names with Raunkiaer Life form classes. Ph = Phanerophyte; Ch = Chamaephytes; He = Hemicryptophytes; Cr = Cryptophytes; Th = Therophytes.

Abundant and less abundant plant species of the Beer Hills

The abundant and less abundant plant species were found on the basis of Importance Values Index (IVI). The topmost abundant tree species of the study area was Mallotus philippensis, Acacia nilotica, Acacia modista, Ziziphus jujuba, Ficus benghalensis, Ficus carica, Broussonetia papyrifera, Pistacia integerrima, Dalbergia sissoo and Morus nigra with high IVI. While Punica granatum, Ailanthus altissima, Citrus aurantium, Pterospermum acerifolium, Eriobatrya japonica, Ceiba pentandra, Cassia fistula, Syzygium cumimi, Juglans regia, and Ficus religiosa were recorded as less abundant trees with minimum IVI in the study area. In shruby layer the most dominant species were Dodonaea viscosa, Justicia adhatoda, Otostegia limbata, Berberis lyceum, Cotoneaster dammeri, Sageretia brendrethiana, Ziziphus nummularia, Marrubium supinum, Nerium oleander and Periploca aphylla with IVI above than 800 in the region. The top ten rare shrub species were Lantana camara, Ipomoea carnea, Clerodendrum philippinum, Parthenocissus semicordata, Rubus fruticosa, Aera javanica, Ricinus communis, Jasminum nudiforum, Jasminum officinale and Calotropis procera having low Importance values in the Beer Hills along with Indus River. In addition to, the Cynodon dactylon, Avena barbata, Medicogo denculatus, Parthenium hysterophorus, Cannabis sativa, Euphorbia helioscopia, Euphorbia hirta, Nasturtium officinale, Malva neglecta, and Melica persica were the most abundant species in herbaceous layer of the region. The uppermost rare herbs recorded with minimum IVI were Datura alba, Brassica compestris, Alternanthera philoxeroides, Physalis angulate, Phegoteris connectilies, Achyranthes aspera, Diclipter roxburghiana, Cypres routundes, Oxalis corniculata and Cyprus niveus. Most of the rare species present in the area were palatable which faces great pressure of grazing.

Species area curve

Initially PC-ORD version 5 were used to draw species area curves and compositional area curves to recognize either the quadrates size was adequate or not through abundance data combined with Sorensen distance values (Ahmad et al., 2016a, Ahmad et al., 2016b). It also comprehends the vegetation relation with environmental variables. It results that the transect number 25 show maximum number of plant species and appearing new species continuously up to station number 31 (Fig. 1).
Fig. 1

The Specie area curves showing adequacy of sampling in the studied area.

The Specie area curves showing adequacy of sampling in the studied area.

Results of Cluster Analysis

The Cluster Analyses using PCORD version 5 clustered 34 stations (306 quadrats) into 4 plant communities or habitats (Fig. 2).
Fig. 2

Cluster dendrogram classified 34 sampled stations into 4 habitat types/plant communities.

Cluster dendrogram classified 34 sampled stations into 4 habitat types/plant communities.

Two Way Cluster Analysis (TWCA)

The Two Way Cluster analysis showed distribution of plant species in sampling stations. It was constructed with the help of presence and absence (1, 0) data sheet by Soresen measures. The black bubbles/dots represented the presence whereas white bubbles indicated the absence of plant species in the region. Four plant communities were recognized through grouping of various stations (Fig. 3).
Fig. 3

Two Way Cluster dendogram showing distribution of 123 species in 306 quadrats.

Two Way Cluster dendogram showing distribution of 123 species in 306 quadrats.

Classification of plant communities

Ficus beghalensis-Nerium oleander-Euphorbia heterophylla community

The community name was given based on Indicator species analyses (ISA). This community was observed at elevation of 432–583 m. Ficus beghalensis, Nerium oleander and Euphorbia heterophylla were the characteristics species of tree, shrub and herb layer respectively. The other dominant species of tree layer with high IVI values included Mallotus philippensis, Broussonetia papyrifera, Ficus carica, Dalbergia sissoo and Mangifera indica. While the rare tree species were Ceiba pentandra, Cassia fistula, Syzgium cumini, Juglans regia, Ficus religiosa and Olea ferruginea with minimum IVI in the region. Whereas shrub layer was dominated by Justicia adhatoda, Otostegia limbata, Nerium oleander, Dodonaea viscosa, Cotoneaster dammeri, Marrubium supinum, with rare species Carissa opaca, Sageretia brendrethiana, Jasminum nudiforum, Ricinas comununis, Jasminum officinale, Calotropis procera. Although the dominant herbaceous layer included Cynodon dactylon, Cannabis sativa, Avena barbata, Nasturtium officinale, Parthenium hysterophorus, Euphorbia helioscopia, Mediogo denculatus, Malva neglecta, Euphorbia heterophylla and Rumex dentatus. Whereas Physalia angulata, Hybisus caesium, Phegopteris connectilis, Achyranthes aspera, Delphinium bicolar, Dicolipter roxburghiana, Argemome Mexicana, Artemisia absinthium and oxalis corymbosa are rare herbs species in the region with low IVI values. The characteristic plant species in community i.e., Ficus beghalensis having important value 78 and p value 0.02, Euphorbia helerophylla having IVI 71 and with p value 0.03. In addition to the data attribute plot of Ficus beghalensis that show the grazing pressure has no effect on this species because tree layer was not affected by grazing pressure but greatly affected by high altitude as a result it was mostly observed in lower altitude of the region. While the electrical conductivity of community soil was measured between 0.16 and 0.25 dsm−1, Calcium carbonate was 2.4–6.2%, Potassium 90–130 ppm and Phosphorus 5.6–8.4 ppm respectively.

Ficus carica - Justicia adhatoda - Parthinium hysterophorus community

This community was found between elevations of 557–640 m. The Ficus carica, Justicia adhatoda, and Parthinium hysterophorus were the dominant characteristic tree, shrub and herb. The other dominant species of the tree layer included Acacia nilotica, Acacia modista, Ziziphus jujuba, Olea ferruginea and Ficus carica. While, the rare tree species were Punica granatum, Broussonetia papyriafera, Melia azedarach, Morus nigra and Dalbergia sissoo. Regarding the shruby layer Dodonia viscosa, Justicia adhatoda, Otostegia limbata, Sageretia brenrerthiana, Colebrookea opposifolia was the most dominant and Marrubium supinum, Gymnosporia royleane, Cotoneaster dammeri, Ricinus communis and Calotropis procera was the rare plant species in the region. The characteristic species of herbaceous layer was Cynodon dactylon, Solanum surattense, Parthenium hysterophous, Medicogo denculatus, Avena barbata, Euphorbia hirta, Euphorbia helioscopia, Rumex dentatus, Delphinium bicolor, Amaranthus viridis and the characteristic rare species of community was Mirabilis jalapa, Convolvulus arvensis, Solanum pseudocapsium, Bidens pilosa, Conyza Canadensis, Ranunculus muricatus, Cichorium intybus, Achyranthus aspera, Phegopteris connectilis and Physalis angulate with minimum IVI. Regarding the soil analyses of community electrical conductivity was 0.15–0.25 dsm−1, Calcium carbonate was 5.2–7.2%, Potassium was 100–125 ppm and Phosphorus 6.4–7.5 ppm was recorded.

Melia azedarach - Dodonaea viscosa – Polygonum avicula community

This community was found at the elevation of 572–645 m. The recorded Characteristic species of tree layer was Mallotus philippensis, Pistacia integerrima, Acacia modista, Ziziphus jujuba and Acacia nilotica. While rare trees were Olea ferruginea, Broussonetia papyrifera, Ficus racemosa, Morus alba and Melia azedarach with minimum IVI in the region. While, the dominant species of shruby vegetation in community included Dodonaea viscosa, Berberis lyceum, Otostegia limbata, Carissa opaca and Sageretia brendrethiana. In addition to, Periploca aphylla, Gymnosporia royleana, Aerva javanica, Marrubium supinum, Polygonum avicular and Colebrookea opposifolia was the rare shrubs recorded with low IVI in the region. The characteristic herbaceous species are Avena barbata, Melica persica, Medicogo denculatus, Artemisia absinthium, Parthenium hysterophous, Argemone Mexicana, Euphorbia hirta, Euphorbia helioscopia and Polygonum aviculare. The community has rare herb species with minimum IVI was Ajuga bracteosa, Malva neglecta, Arundo donax, Hybiscus caesius, Vaccaria pyramidata, Urtica dioica, Ipomoea hederacea, Ipomoea purpurea, Physalis angulata and Solanum virginanum. The soil analyses resulted that the community has Electrical conductivity between 0.17 and 0.23 dsm−1, Calcium carbonate 2.4 and 6.5%, Potassium 100 and 130 ppm and Phosphorus 7.3 and 8.2 ppm respectively.

Acacia nilotica - Berberis lycium - Echinochloa colona community

This community initiated at the elevation of 2485–2937 m. The dominant tree species were Acacia modista, Ziziphus jujuba, Mallotus philippensis with rare species Morus nigra, Ficus carica and Broussonetia papyrifera. The characteristic shrub species of the community were Indigofera heterantha and Plectranthus rugosus. While dominant species were Berberis lycium, Dodonaea viscosa, Periploca aphylla, Justicia adhatoda, Ziziphus nummularia and rare species included Cotoneaster dammeri, Sageretia brendrethiana, Carissa opaca and Gymnosporia royleana. Among the characteristic herbaceous species Cynodon dactylon, Avena barbata, Euphorbia hirta, Mediocogo denculatus, Delphinium bicolor, Melica persica, Conyza bonariensis, Conyza Canadensis, Echinochloa colona and Solanum surattens. Whereas Argemone mexicaca, Parthenium hysterophorous, Saliva coccinea, Chenopodium album, Leucas cephalota, Ajuga bracteosa, Barleria cristata, Sorghum vulgare, Oxalis corniculata, and Xanthium strumarium were recorded as rare herbs with minimum IVI in the region. The soil analyses of this habitat show the electrical conductivity between 0.16 and 0.22 dsm−1, Calcium carbonate 4 and 6.4%, Potassium 100 and 130 ppm and Phosphorus 6 and 9 pp, which play a significant key role in distribution of plant species of present community.

Environmental gradient

The Species and environmental data matrices were put together in CANOCO software version 4.5. All environmental variables as biotic factors (grazing pressure) and abiotic factors (edaphic and topographic) show significant effect on plant species composition, distribution pattern and abundance with p value (p ≤ 0.002) (Table 1).
Table 1

Data summary table of 123 plant species in relations with all he environmental variables.

Axis1234TI
EV (eigen values)0.3630.1650.1050.0962.216
SEC (species-environment correlations)0.9620.9100.9060.915
CPVSP (cumulative percentage variance of species data)16.423.828.632.9
SER (species-environment relation)33.047.957.566.2



SMC test

TSFCA (test of significance of first canonical axis)TSACA (test of significance of all canonical axes)

EV (eigen value)0.363(Trace)1.102
FR (F-ratio)4.121FR (F-ratio)1.730
PV (P-value)0.0020PV (P-value)0.0020
In ordination of various plant species each cross in the figure represented a plant species and the distance between them show the similarity and differences index. All the plant species were compared with environmental gradient and soil data through CANOCO software. The treated environmental variables were altitude, aspect, grazing pressure, organic matter, phosphorous, potassium, pH, deep soil, silt and rocky soil. The CCA (bi-plot diagram) of first quadrant indicated most of the plants were assembled under the influence of CaCO3 and sandy nature of soil. While going through 3rd quadrant most of the environmental variables clustered around phosphorous, pH, organic matter concentration, potassium, high elevation rang and clay nature of soil. Furthermore on the 4th quadrant most of the plants are assembled under the influence of electrical conductivity and grazing pressure (Fig. 4).
Fig. 4

CCA diagram showing the species distribution under the influence of various environmental variables. Spp = Species, Env Var = Environmental factors, Phosph = Phosphorus, Potas = Potassium, Elec Con = Electrical Conductivity, Organ M = Organic Matter, Text Cla = Texture Class, Graz Pr = Grazing Pressure.

CCA diagram showing the species distribution under the influence of various environmental variables. Spp = Species, Env Var = Environmental factors, Phosph = Phosphorus, Potas = Potassium, Elec Con = Electrical Conductivity, Organ M = Organic Matter, Text Cla = Texture Class, Graz Pr = Grazing Pressure.

Ordination of different stations under the influence of environmental gradient

The CCA ordination bi-plot based on edaphic and topographic factors data presents the first quadrant was preliminary related with CoCO3 and sandy nature of soil (Fig. 5). The 3rd quadrants was mainly correlated with phosphorous, pH, organic matter concentration, potassium, high elevation rang and clay nature of soil having T2S2, T3S2, T4S2, T5S, T5S4, T6S2 and T6S3 (T = transect, S = station). While the 4rt quadrant show aspect of electrical conductivity and grazing pressure that clustered T4S1, T5S1, T5S2, T6S1 and T7S1 respectively (Fig. 5).
Fig. 5

CCA bi-plot diagram showing the distribution of sampled stations in relation to various environmental variables. T = Transect, S = Station, Samp = Sample, Env Var = Environmental factors, Phosph = Phosphorus, Potas = Potassium, Elec Con = Electrical Conductivity, Organ M = Organic Matter, Text Cla = Texture Class, Graz Pr = Grazing Pressure.

CCA bi-plot diagram showing the distribution of sampled stations in relation to various environmental variables. T = Transect, S = Station, Samp = Sample, Env Var = Environmental factors, Phosph = Phosphorus, Potas = Potassium, Elec Con = Electrical Conductivity, Organ M = Organic Matter, Text Cla = Texture Class, Graz Pr = Grazing Pressure.

Discussion

The current study revealed a total of 123 plant species of the Beer Hills along Indus River belong to 46 families. The 27 tree species (22%), 23 shrubs (19%) and 73 herbs (59%) were recorded. The study area revealed the herb species were in maximum number with greater cover, followed by trees and shrubs. Physiographic factors such as slope angle, different edaphic factors and altitudinal rang effect the vegetation composition and distribution pattern. Furthermore, at higher altitude vegetation layer became decrease due to physical and biological factors that affect plant growth. The same results were reported by Haq et al. (2011) that showed the vegetation was rich at lower elevation as compared to higher elevation range. The flora of Beer Hills result Asteraceae, Lamiaceae, Moraceae, Amaranthaceae and Poaceae was the most dominant families of the region. Similarly Asteraceae and Lamiaceae were proved well established and largest families in flora of Pakistan by Ali and Qaiser, 1995, Stewart, 1972. Plus in other adjacent locations Dar et al., 2012 reported one hundred and three families at Machiara national park Muzaffarabad. The dominant families of the investigated area were Balsaminaceae, Ranunculaceae and Asclepiadaceae. While Pant and Samant (2007) described forest plant biodiversity of the Western Himalaya. Similar to our results Perveen and Hussain (2007) work out on species density, cover and frequency of Gorakh hills and reported seventy-four plant species distributed in thirty-four families. Plants play a vital role in economy of a country. It was used as food, fruit, medicines, forage, timber wood, fire wood, etc. (Durrani, 2000, Malik, 2005, Shinwari et al., 1996). This research project also resulted various plant species i.e., Medicogo denculatud, Malva neglecta were edible species, Mentha species, Justicia adhatoda and Acacia were medicinally use, Morus species, Melia azedarach were used as a timber and Dadonia vescosa were used as a fuel wood in the Beer Hills area. Flora of an area represents the particular species of an area which are qualitatively and quantitatively analyzed. Floristic structure of a region was very important to relate it with environmental gradient. It depends upon biotic and abiotic factors of an environment and can be affected by deforestation and over grazing particularly (Longhi et al., 1992). Similar were also reported in present work that grazing pressure effect on plant species distribution and composition. A total of 4 plant communities were identified through PCORD version 5 in study area. (Moinuddin et al., 2006: Ahmad et al., 2016a) studied the Phyto-sociological analysis of Himalayan forests of Pakistan, described twenty-four different communities and four monophonic specific forests vegetation as well as labeled the species composition and IVI values. While CANOCO Software version 4.5 was used to measure the influence of edaphic and topographic variables on species composition and diversity and community formation. Similar techniques were also applied by Khan et al. (2012b) for proper documentation of plant species. Whereas Borcard et al., 1992 performed Canonical Correspondence Analysis (CCA) by using a quantitative statistical approach to categorize among various variables. Brown and Bezuidenhout (2005) investigated National park (De mountain zebra National park, South Africa) and find out fourteen communities consuming TWINSPAN grouping. The soil pH ranges from 7.2 to 7.8; organic matter concentration from 0.52% to 0.85%, calcium carbonate amount is 2.38% to 7.2%, sand concentration was 28.6% to 58.6%, Phosphorous was 5.6 ppm to 9 ppm, potassium ranges 130 ppm to 90 ppm. Similarly (Khan et al., 2012a, Khan et al., 2012b, Khan et al., 2014, Khan et al., 2016, Nazir et al., 2012, Shaheen et al., 2011, Iqbal et al., 2015, Ahmad et al., 2016a) also found out various plant communities in relation to environmental gradients. Furthermore, Noureen et al., 2008 investigated Cholistan desert, vegetation on the basis of environmental factors. Whereas, Yimer, 2007, defined that soil disturb the structure of the plant community and ground cover, amount of plant development, capability of natural regeneration and additional critical factors. In study area grazing pressure was observed higher at lower elevation range of the Beer Hills. It was also reported by Pennings and Silliman (2005) that grazing pressure was high at lower elevation. Whereas, Sakya and Bania (1998) describes, elevation play an important role in the community formation. Shank and Noorie (1950) find out that temperature and atmospheric pressure changed with increasing height other factors like soil pH, soil moisture, soil nutrients and biotic factors also take part in the formation of plant communities. Life forms of the plants were very important to describe the vegetation structure. The plant species collected in the study area were classified into five Raunkiaer classes. It was resulted that Phanerophytes was the dominant class followed by the Therophytes, Hiemicryptophytes, Cryptophytes, and Chamaephytes respectively. A similar result was described by Malik and Malik (2004) in Kotli Hill Kashmir. Whereas Hadi et al. (2009) reported a phytosociological effort on weed flora in the vegetable fields of (Botanical Garden, Azakhel in summer season 2009) which consist of 30 weed species in different vegetables fields with dominant Therophytes life form class.

Conclusion

It was concluded that CaCO3 contents, electrical conductivity, soil pH, organic matter concentration, phosphorous and silty nature of soil were the stronger edaphic factors. While, among topographic factor the elevation and aspect were the significant environmental variables that affect the distribution pattern, composition and diversity of plant species and communities of Beer Hills. Identification of indicator and rare plant species in the specific micro-habitat can further be used for conservation management purposes.
Appendix A

Importance value index (IVI) of each plant species in the studied area.

No. SPlant name
Plant name
Plant name
Plant name
Plant nameT IVI 1T IVI 2Plant nameT IVI 3Plant nameT IVI 4
1Ficus benghalensis279.9Acacia nilotica173.8Mallotus philippensis286.9Acacia modista68.8
2Mallotus philippensis263.2Acacia modista123.3Pistacia integerrima151.8Ziziphus jujuba62.2
3Broussonetia papyrifera208.2Ziziphus jujube96.6Acacia modista69.5Mallotus philippensis61.4
4Ficus carica181.5Olea ferruginea67Ziziphus jujube69.2Acacia nilotica52.3
5Dalbergia sissoo179.7Ficus carica32.4Acacia nilotica68.8Morus nigra24.6
6Mangifera indica165.3Mallotus philippensis32Ficus carica57.4Ficus carica14.3
7Ziziphus jujube129Punica granatum29Morus nigra38.8Broussonetia papyrifera6.2
8Eucalyptus camaldulensis125Broussonetia papyrifera12Olea ferruginea37.8Ailanthus altissima0
9Morus alba121.7Melia azedarach12Broussonetia papyrifera27.7Cassia fistula0
10Acacia modista121.4Morus nigra9.9Ficus racemosa6Ceiba pentandra0
11Morus nigra119.9Dalbergia sissoo9Morus alba4.6Citrus aurantium0
12Ficus racemosa115.5Ailanthus altissima0Melia azedarach3.8Dalbergia sissoo0
13Populus ciliata112.6Cassia fistula0Ailanthus altissima0Eriobatrya japonica0
14Acacia nilotica108.5Ceiba pentandra0Cassia fistula0Eucalyptus camaldulensis0
15Melia azedarach95.4Citrus aurantium0Ceiba pentandra0Ficus benghalensis0
16Ailanthus altissima62.1Eriobatrya japonica0Citrus aurantium0Ficus racemosa0
17Punica granatum58.9Eucalyptus camaldulensis0Dalbergia sissoo0Ficus religiosa0
18Pistacia integerrima56.4Ficus benghalensis0Eriobatrya japonica0Juglans regia0
19Citrus aurantium55Ficus racemosa0Eucalyptus camaldulensis0Mangifera indica0
20Pterospermum acerifolium34.1Ficus religiosa0Ficus benghalensis0Melia azedarach0
21Eriobatrya japonica30Juglans regia0Ficus religiosa0Morus alba0
22Ceiba pentandra29.9Mangifera indica0Juglans regia0Olea ferruginea0
23Cassia fistula25.6Morus alba0Mangifera indica0Populus ciliata0
24Syzygium cumini22.5Populus ciliata0Populus ciliata0Pistacia integerrima0
25Juglans regia17.3Pistacia integerrima0Pterospermum acerifolium0Pterospermum acerifolium0
26Ficus religiosa15.4Pterospermum acerifolium0Punica granatum0Punica granatum0
27Olea ferruginea14.8Syzygium cumini0Syzygium cumini0Syzygium cumini0
28Justicia adhatoda259.1Dodonaea viscosa194.15Dodonaea viscosa366.8Berberis lycium140.6
29Otostegia limbata198.7Justicia adhatoda190.55Berberis lyceum185.3Dodonaea viscosa133.9
30Nerium oleander179Otostegia limbata94.4Otostegia limbata162.5Periploca aphylla104.4
31Dodonaea viscosa174.6Sageretia brendrethiana85.5Carissa opaca117.8Justicia adhatoda89.5
32Cotoneaster dammeri167.7Colebrookea opposifolia29Sageretia brendrethiana93.3Ziziphus nummularia48.1
33Marrubium supinum161Ziziphus nummularia14.4Cotoneaster dammeri87Cotoneaster dammeri30.6
34Colebrookea opposifolia112.9Marrubium supinum13Justicia adhatoda72.2Sageretia brendrethiana26.2
35Ziziphus nummularia86.9Gymnosporia royleana12Ziziphus nummularia70.5Otostegia limbata25
36Woodfordia fruticosa86.3Cotoneaster dammeri11.6Periploca aphylla58.6Carissa opaca15
37Gymnosporia royleana79.3Ricinus communis1.4Gymnosporia royleana57.1Gymnosporia royleana13.7
38Lantana camara76.05Calotropis procera1.03Aerva javanica28.4Aerva javanica0
39Ipomoea carnea75.15Aerva javanica0Marrubium supinum28Calotropis procera0
40Berberis lyceum75Berberis lyceum0Colebrookea opposifolia17.3Clerodendrum Philippinum0
41Clerodendrum Philippinum62.79Carissa opaca0Calotropis procera0Colebrookea opposifolia0
42Parthenocissus semicordata62Clerodendrum Philippinum0Clerodendrum Philippinum0Ipomoea carnea0
43Rubus fruticosus53Ipomoea carnea0Ipomoea carnea0Jasminum nudiforum0
44Carissa opaca28.9Jasminum nudiforum0Jasminum nudiforum0Jasminum officinale0
45Sageretia brendrethiana23.9Jasminum officinale0Jasminum officinale0Lantana camara0
46Jasminum nudiforum17Lantana camara0Lantana camara0Marrubium supinum0
47Ricinus communis16.1Nerium oleander0Nerium oleander0Nerium oleander0
48Jasminum officinale14.1Parthenocissus semicordata0Parthenocissus semicordata0Parthenocissus semicordata0
49Calotropis procera8.75Periploca aphylla0Ricinus communis0Ricinus communis0
50Aerva javanica0Rubus fruticosus0Rubus fruticosus0Rubus fruticosus0
51Periploca aphylla0Woodfordia fruticosa0Woodfordia fruticosa0Woodfordia fruticosa0
52Cynodon dactylon1145Cynodon dactylon302Cynodon dactylon525Cynodon dactylon560
53Cannabis sativa800Solanum surattense220Avena barbata264Avena barbata198
54Avena barbata651Parthenium hysterophorus215Melica persica221Euphorbia hirta190
55Nasturtium officinale646Medicogo denculatus203Medicogo denculatus202Medicogo denculatus160
56Parthenium hysterophorus643Avena barbata187Artemisia absinthium190Delphinium bicolor149
57Euphorbia helioscopia640Euphorbia hirta93Parthenium hysterophorus168Melica persica145
58Medicogo denculatus605Euphorbia helioscopia74Argemone mexicana159Conyza bonariensis125
59Malva neglecta574Rumex dentatus73Euphorbia hirta144Conyza canadensis111
60Euphorbia helerophylla548Delphinium bicolor67Euphorbia helioscopia127Echinochloa colona92
61Rumex dentatus434Amaranthus viridis64Polygonum aviculare121Solanum surattense92
62Mentha piperita428Ajuga bracteosa55Salvia coccinea121Polygonum aviculare79
63Xanthium strumarium414Alternanthera hirtula51Solanum surattense121Hybiscus caesius68
64Persicaria globra385Adiantum caudatum46.05Lepidium virginicum115Argemone mexicana62
65Amaranthus viridis322Oxalis corniculata45Barleria cristata113Parthenium hysterophorus62
66Euphorbia hirta316Malvastrum coromandelianum44Alternanthera hirtula103Salvia coccinea60
67Sorghum vulgare316Verbascum Thapsus44Xanthium strumarium102Chenopodium album59
68Mentha longiafolia300Cyperus rotundus43Bidens pilosa96Leucas cephalota57
69Melica persica263Arundo donax36Cannabis sativa72Ajuga bracteosa54
70Celosia argentea259Chenopodium album32Conyza canadensis71Barleria cristata36
71Cichorium intybus258Argemone mexicana30Conyza bonariensis67Sorghum vulgare34
72Mirabilis jalapa244Cannabis sativa30Delphinium bicolor64Oxalis corniculata32
73Conyza canadensis227Cyperus niveus21Amaranthus spinosus62Xanthium strumarium30
74Arundo donax220Solanum nigrum19Rumex dentatus62Achyranthes aspera0
75Bidens pilosa211Malva neglecta18Pentanema indicum58Adiantum caudatum0
76Commelina communis211Mirabilis jalapa18Cichorium intybus55Alternanthera hirtula0
77Solanum nigrum208Convolvulus arvensis16Malvastrum coromandelianum55Alternanthera philoxeroides0
78Chenopodium album202Solanum pseudocapsicum15Leucas cephalota49Amaranthus spinosus0
79Ranunculus muricatus202Bidens pilosa13Chenopodium album46Amaranthus viridis0
80Pastinaca sativa196Conyza Canadensis13Echinochloa colona43Anthriscus sylvestris0
81Echinochloa colona182Ranunculus muricatus8Verbascum thapsus39Artemisia absinthium0
82Anthriscus sylvestris160Cichorium intybus7Ajuga bracteosa38.08Arundo donax0
83Lepidium virginicum160Achyranthes aspera6.05Malva neglecta37Bidens pilosa0
84Leucas cephalota157Phegopteris connectilis6Arundo donax34Brassica compestris0
85Amaranthus spinosus155Physalis angulata1Hybiscus caesius34Cannabis sativa0
86Malvastrum coromandelianum153Alternanthera philoxeroides0Vaccaria pyramidata29Celosia argentea0
87Verbascum thapsus149Amaranthus spinosus0Urtica dioica10Cichorium intybus0
88Corchorus olitorius145Anthriscus sylvestris0Ipomoea hederacea6Commelina communis0
89Oxalis corniculata140Artemisia absinthium0Ipomoea purpurea6Convolvulus arvensis0
90Solanum virginanum130Barleria cristata0Physalis angulata1Corchorus olitorius0
91Vaccaria pyramidata128Brassica compestris0Solanum virginanum1Cynoglossum zeylanicum0
92Urtica dioica121Celosia argentea0Achyranthes aspera0Cyperus niveus0
93Alternanthera hirtula120Commelina communis0Adiantum caudatum0Cyperus rotundus0
94Marsilea villosa118Conyza bonariensis0Alternanthera philoxeroides0Datura alba0
95Debregeasia salicifolia110.3Corchorus olitorius0Amaranthus viridis0Debregeasia salicifolia0
96Triticum aestivum108Cynoglossum zeylanicum0Anthriscus sylvestris0Diclipter roxburghiana0
97Adiantum caudatum107.65Datura alba0Brassica compestris0Euphorbia helerophylla0
98Convolvulus arvensis106Debregeasia salicifolia0Celosia argentea0Euphorbia helioscopia0
99Cynoglossum zeylanicum103Diclipter roxburghiana0Commelina communis0Ipomoea hederacea0
100Pentanema indicum100Echinochloa colona0Convolvulus arvensis0Ipomoea purpurea0
101Solanum pseudocapsicum99Euphorbia helerophylla0Corchorus olitorius0Lepidium virginicum0
102Solanum surattense99Hybiscus caesius0Cynoglossum zeylanicum0Malva neglecta0
103Ipomoea hederacea93Ipomoea hederacea0Cyperus niveus0Malvastrum coromandelianum0
104Ipomoea purpurea93Ipomoea purpurea0Cyperus rotundus0Marsilea villosa0
105Ajuga bracteosa87Lepidium virginicum0Datura alba0Mentha longiafolia0
106Datura alba85Leucas cephalota0Debregeasia salicifolia0Mentha piperita0
107Polygonum aviculare82Marsilea villosa0Diclipter roxburghiana0Mirabilis jalapa0
108Barleria cristata80Melica persica0Euphorbia helerophylla0Nasturtium officinale0
109Brassica compestris79Mentha longiafolia0Marsilea villosa0Oxalis corymbosa0
110Alternanthera philoxeroides78Mentha piperita0Mentha longiafolia0Pastinaca sativa0
111Conyza bonariensis76Nasturtium officinale0Mentha piperita0Pentanema indicum0
112Physalis angulata72Oxalis corymbosa0Mirabilis jalapa0Persicaria globra0
113Hybiscus caesius71Pastinaca sativa0Nasturtium officinale0Phegopteris connectilis0
114Salvia coccinea60Pentanema indicum0Oxalis corniculata0Physalis angulata0
115Phegopteris connectilis59Persicaria globra0Oxalis corymbosa0Ranunculus muricatus0
116Achyranthes aspera57.83Polygonum aviculare0Pastinaca sativa0Rumex dentatus0
117Delphinium bicolor57Salvia coccinea0Persicaria globra0Solanum nigrum0
118Diclipter roxburghiana52Solanum virginanum0Phegopteris connectilis0Solanum pseudocapsicum0
119Argemone mexicana50Sorghum vulgare0Ranunculus muricatus0Solanum virginanum0
120Artemisia absinthium43Triticum aestivum0Solanum nigrum0Triticum aestivum0
121Oxalis corymbosa30Urtica dioica0Solanum pseudocapsicum0Urtica dioica0
122Cyperus niveus0Vaccaria pyramidata0Sorghum vulgare0Vaccaria pyramidata0
123Cyperus rotundus0Xanthium strumarium0Triticum aestivum0Verbascum thapsus0
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