Full Length Research Paper - International Research Journal of Plant Science ( 2020) Volume 11, Issue 2
, DOI: 10.14303/2141-5447.2020.0013
The present study was conducted to evaluate the impact of altitude on composition and diversity of Oak dominated forests in Rajouri district of Jammu and Kashmir (India). A total of 32 woody species were encountered in the study area lying between 1200m and 2500m elevation. Three species of Oak viz. Quercus leuchotrichophora, Q. floribunda and Q. semecarpifolia were found to be dominant or co-dominant in the area. Q. leuchotrichophora shared the maximum acreage at all elevations. Its associate species, however, remained changing across the elevational gradient. Results revealed that the phytosociological characteristics of the studied forests vary remarkably in response to changes in altitude. Stem density decreased while as total basal area was found to increase with altitude. No of species was maximum at lowest altitude and steeply decreased with rise in altitude. Diversity indices (Margelef Index, Menhinik Index, Shanon Wiener Index, etc.) showed evident decline in their values with altitude. However an unexpected dip due to anthropogenic pressure at middle elevational range was also observed. These forests demand urgent attention for their conservation and management.
Ecosystem, Forest, Elevation, Biodiversity, Community composition, Environmental factors.
Forest ecosystems are believed to be the great storehouses of biodiversity (Thompson, Okabe, Tylianakis, Kumar, Brockerhoff, Schellhorn, & Nasi, 2011). They are evolved and influenced by a multitude of environmental factors. Vegetation in a forest ecosystem is a function of time (Kharkwal, Mehrotra, Rawat, & Pangtey, 2005), but its ecological attributes (like community structure, floral composition, diversity, etc.) are mainly determined by its geographic location, climatic regime, soil conditions and other environmental factors. Vegetation complex, even within a particular region, does not remain uniform in time and space. It fluctuates in a cyclic way with changing seasons and in a successional manner over the years (Heady, 1958). Flora of a place responds to and gets shaped by the changes in factors like altitude, climate, soil conditions and natural and anthropogenic disturbances. Variation in community characteristics across environmental gradnients is a major topic of ecological investigations and has been often described with reference to climate, biotic interaction, habitat heterogeneity and history (Givnish, 1999; Willig, Kaufman, & Stevens, 2003; Currie & Francis, 2004; Qian & Ricklefs, 2004; Amissah, Mohren, Bongers, Hawthorne, & Poorter, 2014; Bohra, Athokpam, Garkoti, Das, & Hore, 2014; Khaine, Woo, Kang, Kwak, Je, You, & Yang, 2017). Elevation is recognized as a fundamental factor that influences forest community structure, species composition, diversity, density, regeneration and other ecological attributes of vegetation (Sharma, Ghildiyal, & Gairola, 2009; Gairola, Sharma, Ghildiyal, & Suyal, 2011; Kessler, 2001; Scmidt, Zebre, & Weckesser, 2006; Zhang, Ru, & Li, 2006). It is one of the most important governing factors responsible for regional differences in species composition particularly in the Himalayan region (Sharma, Mishra, Krishan, Tiwari, & Rana, 2016). Altitude in itself represents a complex combination of many related factors like topography, water availability, soil characteristics, climate, etc. (Ramsay & Oxley, 1997) which greatly affect floral composition of an area (Holland & Steyn, 1975). As geographic and climatic conditions change abruptly along an altitudinal gradient (Kharkwal et al., 2005), they affect the presence, density, dominance and distribution of plant species.
Effects of altitude on vegetation have been analyzed by various workers in different parts of the world (Whittaker, 1972; Pavon, Hernandez-Trejo & Rico-Gray, 2000; Mota, Luz, Mota, Coutinho, Veloso, Fernandes, & Nunes, 2018; Acharya, Chettri, & Vijayan, 2011; Ahmed, Husain, Sheikh, Hussain, & Siddiqui, 2006) and particularly in the western Himalayas (Saxena, Pandey, Singh, 1985; Adhikari, Rawat,. & Singh, 1995; Kharkwal et al., 2005; Singh, Kumar, & Sheikh, 2009). A great majority of them has confirmed the decline of biodiversity with increasing elevation. Several studies, however, reported peak values of species richness at middle altitudes (Rahbek, 2004; Grytnes & Vetaas, 2002; Kharkwal et al., 2005). Yet some other studies have shown a linear relationship between species richness and altitude (Givnish, 1999) and have given other explanations for the same. Changes in forest composition along elevational transects in the western Himalayan region are, thus, evident, but they require proper and detailed measurement (Chitale, Behera & Roy, 2014; Sharma, Mishra, Prakash, Dimri, & Baluni, 2014) especially in areas which are ecologically least investigated. Vegetation composition with reference to altitude has been evaluated by several workers in parts of Jammu province (Raina & Sharma, 2012; Sharma & Raina, 2013), Pak administered parts of J&K (Shaheen, Ullah, Khan, & Harper, 2012) and Kashmir valley forests (Rather, 2014). But No such study has been carried out in the Pir Panjal Himalayan range (Rajouri and Poonch districts of Jammu and Kashmir) which forms a distinct region and is even taxonomically underexplored despite its rich flora (Dar, Malik, & Khuroo, 2014). Present investigation was carried out in temperate broadleaved Oak dominated forests of Rajouri (southern slope of Pir Panjal mountain range) to assess the effects of altitude on stand structure, species composition, diversity, dispersion pattern and other ecological attributes of vegetation. Pure or mixed stands of Oak (Quercus spp) form the principal floral group on the southern slopes of the range between 1200m and 3500m elevation. The area is dominated at various altitudinal ranges (1300-3500m) by one or the other species of Oak particularly Quercus leuchotrichophora which is, ecologically as well as socio-economically, a highly valued plant of the region. These forests are also the main representatives of the temperate broadleaved Himalayan forests in Jammu and Kashmir. The approach adopted in this investigation is direct gradient analysis in which aspects of community composition, structure, diversity and dynamics are simply analysed with reference to the changes in evident ecological factors. The present work would be helpful and fundamental in generating baseline data and developing sound conservation and management strategies for the region. It may also help in understanding and predicting the biological impacts of the climate change.
Study area
Pir Panjal Mountains, extending in a northwest to southeast direction across Jammu and Kashmir in India, form the largest range in the western Himalayas and support wide range of vegetation including grasslands, scrubs and luxurious coniferous and broadleaved forests. The present study was carried out in Oak-dominated broadleaved mixed forests of Rajouri Forest Division (district Rajouri) of Jammu and Kashmir (India). The division, forming a part of southern slope of the Pir Panjal Himalayan range, lies between 740 11’ 03.03”E and 740 40’ 21.95”E longitude and 330 08’ 47.77”N and 330 35’ 05.16’’N latitude with its altitude ranging from 1000-6000 m above sea level. Topography of the region is mountainous and varies from gentle slopes to very steep ridges. It is characterized by the presence of rich coniferous and broadleaved forests between 1000m to 3500m elevational range. Fourteen percent (13.96%) of total forest cover in the region (Rajouri Forest Division) comprises of broadleaved forests in which Oak is, by and large, the principal species (Anand, 2014). Major slope of the catchment area is towards south and southwest and is drained by river Ans and other tributaries of the Chenab. Climate is generally mild in lower parts and harsher and cold with heavy snowfall in upper hillocks. Average annual rainfall is 1150 mm which is mainly received through southwest monsoon during July-September. Division is, administratively, divided into three forest ranges viz. Kalakote, Kandi and Rajouri. Kandi forest range, for it sufficiently representing the entire division in terms of topography, soil, climate and vegetation type, is selected for the present work Figure 1
Sampling and data collection
After preliminary surveying in the area, three forest sites across a wide altitudinal range (from 1200m to 2500m) were selected for the sampling. Sites were named as per their local names (Table 1). Data collection was carried out during 2017-18 using stratified random sampling technique. Twenty quadrates (each measuring 10×10m for trees and 5×5m for shrubs) were laid at each site for collection and subsequent analysis of phytosociological information. Plants with GBH (girth at breast height) >20 cm were considered as trees. Simple measuring tape was used to determine girth of trees. Physiographic features (like elevation, aspect and slope steepness) were recorded using Garmin Etrex 10 GPS device.
Site | Forest | Elevational range (m) |
Aspect | Slope/terrain |
---|---|---|---|---|
I | Gadyog-Kanthol | 1200-1600 | South western | Gentle |
II | Jaglaanoo-Perinar | 1600-2000 | South eastern | Steep |
III | Badhal-Nangathub | 2000-2500 | Western | Gentle |
Table 1. General profile of study sites.
Data analysis
Density, frequency and abundance were calculated using standard methods. Basal area was estimated using formula:
Basal area =
Where, cbh=circumference at breast height
Basal areas calculated for species were multiplied with densities of the respective species to obtain total basal area (m2 ha-1). Calculation of Importance Value Index (IVI) for trees and Provenance index (PI) in case of shrub species was done as below:
IVI=Relative Density+ Relative Frequency + Relative Dominance (for tree species)
PI= Relative density + Relative frequency (for shrubs)
Distribution pattern of all the tree species was determined by abundance/frequency (A/F) ratio (also known as Whitford Index) and was categorized as regular (if A/F < 0.025), random (if A/F between 0.025 – 0.05) or contagious (if A/F > 0.05). Number of species present in a forest was taken as Species Richness (SR). Margalef index (MI) and Menhinik index (MeI) of richness were calculated as MI= S-1/log N and MeI=S/√N where S=number of species and N= total number of individuals. Shannon–Wiener diversity index (H´) and Simpson’s diversity index were calculated using the formulae:
Shannon–Wiener diversity index (H´) =
Simpson index of diversity (SI) =
where, pi is the proportion of ith species and S is the number of individuals of all the species. Simpson index of diversity was expressed as 1-Cd to avoid confusion.
Peilou’s index of evenness (e) was calculated as e=H´/log N, where H´ is Shannon Wiener index and N is total number of species present.
Results
Composition: A total of 32 species of trees (20) and shrubs (12) belonging to 30 genera were recorded from the entire study area. Three species of Oak viz. Quercus leuchotriphora, Q. floribunda and Q. semecarpifolia showed their dominance and/or co-dominance all across the study area. It was observed that 14 species of trees were found growing at site I, 6 at site II and 7 at site III. 8, 6 and 4, while species of shrubs were found at sites I, II, III respectively. Total density (individuals/ha) of trees and shrubs was observed to be 975 at site I, 840 at site II and 770 at site III and 380, 270 and 225 at sites I, II and III respectively. Total basal area (m2/ha) of trees was calculated to be 68.84, 133.04, 100.33 and 72.66 at sites I, II, III and IV respectively. Whitford Index (Abundance/Frequency ratio) ranged between 0.01 to 0.20 for trees and 0.03 to 0.69 for shrubs (Table 2, Table 3 and Table 4).
Species | Density (per ha) |
Total basal cover (m²/ha) | Abundance/Frequency (WI) |
IVI/PV |
---|---|---|---|---|
Tree species | ||||
Quercus leuocotrichophora | 440 | 55.617 | 0.054 | 148.410 |
Quercus floribunda | 40 | 4.212 | 0.064 | 16.470 |
Rhododendron arboreum | 40 | 1.561 | 0.025 | 16.369 |
Bombax ceiba | 20 | 0.536 | 0.200 | 5.329 |
Grevia optiva | 25 | 0.440 | 0.063 | 8.203 |
Pyrus pashia | 110 | 1.696 | 0.036 | 27.495 |
Pinus roxburgii | 50 | 1.248 | 0.125 | 11.941 |
Puma granatum | 70 | 0.321 | 0.077 | 15.146 |
Ficus palmate | 60 | 1.342 | 0.150 | 13.103 |
Zanthoxylum armatum | 35 | 0.285 | 0.088 | 9.004 |
Celtis australis | 35 | 0.642 | 0.056 | 10.772 |
Morus alba | 10 | 0.103 | 0.100 | 3.676 |
Melia azaderachta | 20 | 0.382 | 0.050 | 7.607 |
Ulmus wallichiana | 20 | 0.464 | 0.087 | 6.476 |
Total | 975 | 68.848 | ||
Shrub Species | ||||
Ellaegnus umbellate | 30 | 0.075 | 24.107 | |
Zizipus mauritiana | 25 | 0.063 | 16.699 | |
Berberis lyceum | 100 | 0.063 | 45.744 | |
Carrisa spinarum | 25 | 0.125 | 11.436 | |
Indigofera heterantha | 75 | 0.083 | 34.308 | |
Rosa maschuta | 15 | 0.150 | 8.967 | |
Rubus ellipticus | 65 | 0.070 | 31.839 | |
Sarcococcasa linga | 45 | 0.050 | 26.901 | |
Total | 405 |
Species | Density (per ha) |
Total basal cover (m²/ha) |
Abundance/Frequency (WI) |
IVI |
---|---|---|---|---|
Tree species | ||||
Quercus leuocotrichophora | 495 | 87.496 | 0.010 | 167.248 |
Quercus floribunda | 90 | 15.274 | 0.025 | 39.216 |
Aesculus indica | 50 | 8.370 | 0.056 | 22.882 |
Lyonia ovalifolia | 25 | 2.497 | 0.100 | 9.108 |
Rhododendron arboreum | 85 | 16.681 | 0.033 | 35.423 |
Pyrus pashia | 95 | 2.723 | 0.033 | 26.122 |
Total | 840 | 133.041 | ||
Shrub species | ||||
Elaeagnus umbellate | 55 | 0.138 | 32.492 | |
Berberis lyceum | 75 | 0.047 | 52.020 | |
Rubus ellipticus | 40 | 0.044 | 32.997 | |
Viburnum grandifolium | 45 | 0.050 | 34.848 | |
Rosa maschuta | 35 | 0.056 | 28.114 | |
Amelocissus latifolia | 20 | 0.050 | 19.529 | |
Total | 270 |
Species | Density (per ha) | Total basal area (m²/ha) | Abundance/ Frequency (WI) |
IVI/PI |
---|---|---|---|---|
Tree species | ||||
Quercus leuocotrichophora | 420 | 75.239 | 0.052 | 162.868 |
Boxus wallichiana | 115 | 1.465 | 0.072 | 31.210 |
Pyrus pasia | 55 | 1.095 | 0.061 | 19.345 |
Quercus floribunda | 120 | 16.647 | 0.033 | 54.399 |
Quercus semecarpifolia | 25 | 1.274 | 0.063 | 11.924 |
Aesculus indica | 20 | 1.997 | 0.050 | 11.996 |
Lyonia ovalifolia | 15 | 2.616 | 0.100 | 8.259 |
Total | 770 | 100.333 | ||
Shrub species | ||||
Skimmia laureola | 70 | - | 0.072 | 52.540 |
Elaeagnus umbellate | 35 | - | 0.088 | 29.841 |
Vibrnum grandiflora | 75 | - | 0.030 | 69.048 |
Berberis aristata | 45 | - | 0.031 | 48.571 |
Total | 225 |
At the lowest altitude i.e. 1200-1600m (Table 2), it was found that the Quercus leuchotrichophora (IVI=148.410) showed highest density, frequency and IVI values and followed by Quercus floribunda (IVI=16.470), Pyrus pasia (16.470), Rhododendron arboretum (IVI=16.369), Puma granatum (IVI=15.146), Ficus palmate (IVI=13.103), Pinusroxburgi (IVI=11.941), Zanthoxylum armatum (IVI=9.004), Celtis australis (IVI=10.772), etc. Among shrubs, Berberis lyceum (PV=45.744), Indigofera heterantha (PV=34.308), Rubus ellipticus (PV=31.839), Sarcococca salinga (PV=26.901) were the prominent species.
Mid elevation i.e. 1600-2000m (Table 3) showed Quercus floribunda becoming more prominent with IVI=39.216 followed by Aesculus indica (IVI=22.882) and Rhododendron arboreum (IVI=35.423). Berberis lyceum (PV=52.020), Viburnum grandifolium (PV=34.848), Elaeagnus umbellate (PV=32.492) and Rosa maschuta (PV=28.114) were prominent in the shrub layer.
At higher elevation i.e. 200-2500m (Table 4), Quercus floribunda (54.399) became even more ubiquitous. Quercus semecarpifolia (IVI=11.924) started appearing at this altitudinal range. Boxus wallichiana (IVI=31.210) was another important endemic species of this range. Other associate tree species of this altitude included Pyrus pasia (19.345), Aesculus indica (11.996) and Lyonia ovalifolia (8.259). Vibrnum grandiflora (PV=69.048), Skimmia laureola (PV=52.540) and 0 (PV=48.571) were present among shrubs.
Density of both tree species and shrub was found to be higher (975 and 380) at the lowest altitude (1200-1600m) and then decreased with increase in altitude. While reverse trend was found in the basal area having lowest (68.84m²/ ha) at lower elevational range and highest (133.04m²/ha) at the mid altitude.
Species Diversity
Species richness and diversity indices varied across the stands studied, but not much significantly between middle and higher altitudes (Table 5). Shannon-Wiener Index was highest (1.99 for trees) at lower elevation and almost similar at middle (0.93) and higher altitudes (0.96). However, it gradually decreased (1.93, 1.84 and1.34) for shrub layer moving from lower to higher elevation. Simpson’s diversity index was minimum (0.70 for tress and 0.73 for shrubs) at 1200-1600 altitudinal range. Margelef index values ranged from 0.74 to 1.88 for trees and 0.73 to 1.17 for shrubs whereas Menhenick index was found between 0.20 to 0.44 for trees and 0.33 to 0.41 for shrubs, with their maximum values for trees and shrubs at lowest altitude. These values showed a decreasing trend from lower to higher altitudes. Peilou’s evenness index (J') was calculated to be highest (1.20) at the middle altitude (0.49 to 0.75 for trees and 0.92 to 1.92 for shrubs).
Parameter | Site I Gadyog-Kanthol forests |
Site II Jaglanoo-Perinar forests |
Site III Badhal–Nangathub forests |
|||
---|---|---|---|---|---|---|
Trees | Shrubs | Trees | Shrubs | Trees | Shrubs | |
Main(Dominant) species | Quercus leucotrichophora (IVI=148.41) | Berberis lyceum (PV=45.74) | Quercus leucotrichophora (IVI=167.24) | Berberis lyceum (PV=52.0) | Quercus leucotrichophora (IVI=162.86) | Viburnum grandifolia (PV=69.04) |
Species Richness (Total Number) | 14 | 8 | 6 | 6 | 7 | 4 |
Margelef Index | 1.88 | 1.17 | 0.74 | 0.89 | 0.90 | 0.73 |
Menhinik Index | 0.44 | 0.41 | 0.20 | 0.36 | 0.25 | 0.33 |
PelioIndex (Evenness) | 0.75 | 0.92 | 0.51 | 1.02 | 0.49 | 0.96 |
ShanonWiener Index (H) | 1.99 | 1.93 | 0.93 | 1.84 | 0.96 | 1.34 |
Simpson Index of Diversity (SI) | 0.77 | 0.84 | 0.93 | 0.73 | 0.70 | 0.73 |
TotalBasalarea (m²/ha) | 68.84 | - | 133.04 | - | 100.33 | - |
TotalDensity (indl/ha) | 975 | 380 | 840 | 270 | 770 | 225 |
Highest number of species (SR) for trees (14) and shrubs (08) was found at 1200-1600m elevation. However there was no significant difference in this respect between middle and higher altitudes.
Altitude is an important environmental gradient that offers significant variations in vegetation characteristics due to its direct impact on microclimate (Adhikari, Fischer, & Pauleit, 2015) especially in mountain regions for greater and abrupt environmental changes across a relatively small geographic range (Zhang et al., 2006). Studies conducted in various parts of the Himalayas have indicated remarkable differences in species composition, distribution pattern and diversity attributable to altitudinal impact (Adhikari et al., 2015; Sharma et al., 2009; Sharma, Baduni, & Gairola, 2010; Gairola, Sharma, and Suyal, 2011; Kharkwal et al., 2005; Acharya et al., 2011; Ahmed, 2006; Kharkwal et al., 2005; Singh, Kumar, & Sheikh, 2009). Present study was an attempt to assess the effect of altitude on Oak and its associate species along an elevational gradient in forests of Pir Panjal belt which is ecologically still underexplored. It has revealed that three species of Oak viz. Quercus leuchotrichophora, Q. floribunda and Quercus semecarpifolia grow abundantly between 1300m and 2500m. Quercus leucotrichophora exhibiting highest frequency (100%), density (420 to 495 individuals/ha), basal cover (55.61 m²/ha to 87.49 m2/ha) and IVI (148.410 to 167.248), predominates the vegetation at all the three sites. This is in accordance with the characteristic composition of temperate broadleaved forests throughout the western Himalayas where different species of oak often dominate the vegetation (Troup, 1921; Singh, Rawat & Chaturvedi, 1984; Singh and Rawat, 2012). Values on phytosociological aspects obtained in the present study are comparable with those observed by other workers for similar vegetations in Uttrakhand (Lal & Laudhiyal, 2016), Kumaon (Singh & Singh, 1986), Gharwal (Singh, Malik, & Sharma, 2016), parts of Jammu (Sharma & Raina, 2013) and other parts of the Himalayas (Singh and Singh, 1986; Khera, Kumar, Ram, & Tewari, 2001; Ahmed, Husain, Sheikh, Hussain, & Siddiqui, 2006; Paul, Khan, &Das, 2018). Although Quercus leuchotrichophora was found dominant all across the study area, it varied in its IVI, density, abundance, frequency, etc. at different altitudinal zones. This indicates wider eceological amplitude of the species and its tolerance to biotic pressures. Quercus floribunda and Q. semecarpifolia, however, became more conspicuous respectively at middle (1600-2000m) and higher (2000- 2500m) elevations. Pinus wallichiana, Aescules indica and Boxus wallichiana were the most important co-dominants at lower, middle and higher elevations respectively. Similar characteristics of vegetation have been reported for the western Himalayan temperate forests by other workers (Gairola et al., 2011; Sharma et al., 2009; Singh et al., 2009). Associate species like Rhododendron arborium, Pyrus pasia, etc. were found throughout the study area (though exhibiting different values of stem density, frequency and IVI in different stands) and it signifies their wider altitudinal range and greater adaptability to varying situations. Presence of the only conifer species intermixed with Oak at lower altitudinal zone indicated the ecotonal effect which was also responsible for the maximum number of species in this zone. On the contrary certain associate species including endemic Boxus wallichiana and Q. semecarpifolia were only found at higher altitude owing to their restricted natural range. Decrease in stem density with a rise in altitude was also in accordance with the trend observed by other workers in the Himalayan region (Gairola et al., 2011; Acharya et al., 2011; Shaheen et al., 2012). Basal cover for individual species as well for entire tree vegetation was, however, found maximum at mid elevation and it is due to presence of old growth forests. Majority of plant species in the study area have shown clumped distribution/dispersion (indicated by WI index values) as it is very common in natural ecosystems (Odum & Heald, 1972).
Diversity is generally believed to decrease with altitude and a similar trend was also found in the present study. The values of diversity indices (Shanon Wiener index, Simpson index of diversity, Margalef index and Menhinik index) calculated for the study area are similar to those reported by other workers in other parts of the Himalayas (Sharma, Gairola, Baduni, Ghildiyal, & Suyal, 2011; Sharma et al., 2009; Singh, Malik, & Sharma, 2016; Sharma, Mishra, Tiwari, Krishan, & Rana, 2017). The highest diversity at the lowest elevation may also be attributed to the edge effect as these sites bordered subtropical region on the lower side. However it did not show much difference at middle and higher altitude in diversity of tree species which can be due to intense anthropogenic disturbances at mid elevations in the region.
Information on vegetation characteristics of forest areas is important from research, conservation and management point of views. Forest area investigated in the study is dominantly populated by at least three species of Oak almost all across the altitudinal gradient between 1300 and 2500m. Although Quercusleuchotrichophora grows abundantly irrespective of elevational zonation, its associate tree and shrub species keep replacing one another while moving across the elevational gradient. All phytosociological characteristics of the vegetation vary remarkably in response to changes in altitude. Tree species diversity decreased with altitude but an unexpected decrease at the middle range is attributed to anthropogenic pressures.
The author is indebted to University Grants Commission, New Delhi (India) for grant of Fellowship under its FDP scheme for this work.