Abstract:Plant species diversity and endemism demonstrate a definite trend along altitude. We analyzed the (i) pattern of tree diversity and its endemic subset (ii) frequency distribution of altitudinal range and (iii) upper & lower distributional limits of each tree species along altitudinal gradients in eastern Himalaya. The study was conducted in Subansiri district of Arunachal Pradesh. Data on the tree species (cbh ‡ 15 cm) were gathered every 200 m steps between 200 m and 2200 m gradients. Tree diversity demonstra… Show more
“…The decline in species richness due to higher altitudes in Mount Ciremai National Park (Fig. 1.a.) was similar with a pattern observed in Mount Kerinci in Sumatra and Mount Pangrango in Java (Ohsawa, 1991), Mount Kinabalu in Borneo (Kitayama, 1992;Aiba and Kitayama, 1999), Dongling Mountains in China (Ren et al, 2006), Subansiri in Eastern Himalaya (Behera and Kushwaha, 2007), and Lore Lindu National Park in Central Sulawesi (Culmsee and Pitopang, 2009).…”
Understanding the effect of altitude on trees and stand attributes of tropical forests is crucial for the development of effective management and conservation strategies. However, study on this issue in Mount Ciremai National Park is still lacking. A total of 136 plots were set on the eastern slope of Mount Ciremai in Mount Ciremai National Park and investigated in six different altitudes: 500 m a.s.l., 840 m a.s.l., 1,300 m a.s.l., 1,400 m a.s.l., 1,780 m a.s.l., and 2,530 m a.s.l. The objective of this study was to analyze the effect of altitude to trees and stand attributes i.e. species and family richness, tree density, basal area, and tree biomass. The changes on trees and stand attributes to altitudinal gradient were analyzed using regression analysis. The result showed that tree species number, family number, tree basal area, and tree biomass significantly declined with increasing altitude, meanwhile tree density significantly increased with increasing altitude. These findings indicate a distinct effect of altitude on tree and stand attributes in Mount Ciremai National Park.
“…The decline in species richness due to higher altitudes in Mount Ciremai National Park (Fig. 1.a.) was similar with a pattern observed in Mount Kerinci in Sumatra and Mount Pangrango in Java (Ohsawa, 1991), Mount Kinabalu in Borneo (Kitayama, 1992;Aiba and Kitayama, 1999), Dongling Mountains in China (Ren et al, 2006), Subansiri in Eastern Himalaya (Behera and Kushwaha, 2007), and Lore Lindu National Park in Central Sulawesi (Culmsee and Pitopang, 2009).…”
Understanding the effect of altitude on trees and stand attributes of tropical forests is crucial for the development of effective management and conservation strategies. However, study on this issue in Mount Ciremai National Park is still lacking. A total of 136 plots were set on the eastern slope of Mount Ciremai in Mount Ciremai National Park and investigated in six different altitudes: 500 m a.s.l., 840 m a.s.l., 1,300 m a.s.l., 1,400 m a.s.l., 1,780 m a.s.l., and 2,530 m a.s.l. The objective of this study was to analyze the effect of altitude to trees and stand attributes i.e. species and family richness, tree density, basal area, and tree biomass. The changes on trees and stand attributes to altitudinal gradient were analyzed using regression analysis. The result showed that tree species number, family number, tree basal area, and tree biomass significantly declined with increasing altitude, meanwhile tree density significantly increased with increasing altitude. These findings indicate a distinct effect of altitude on tree and stand attributes in Mount Ciremai National Park.
“…, Manish et al. ), trees specifically (Carpenter , Bhattarai and Vetaas , Behera and Kushwaha , Acharya et al. ), and ferns and bryophytes (Bhattarai et al.…”
Along elevational gradients, species richness often peaks at intermediate elevations and not the base. Here we refine and test eight hypotheses to evaluate causes of a richness peak in trees of the eastern Himalaya. In the field, we enumerated trees in 50 plots of size 0.1 ha each at eight zones along an elevational gradient and compared richness patterns with interpolation of elevational ranges of species from a thorough review of literature, including floras from the plains of India. The maximum number of species peaks at similar elevations in the two data sets (at 500 m in the field sampling and between 500 m and 1,000 m in range interpolation); concordance between the methods implies that statistical artefacts are unlikely to explain the peak in the data. We reject most hypotheses (e.g., area, speciation rate, mixing of distinct floras). We find support for a model in which climate (actual evapotranspiration [AET] or its correlates) sets both the number of species and each species optimum, coupled with a geometric constraint. We consider that AET declines with elevation, but an abrupt change in the association of AET with geographical distance into the plains means that the location of highest AET, at the base of the mountain, receives range overlaps from fewer species than the location just above the base. We formalize this explanation with a mathematical model to show how this can generate the observed low‐elevation richness peak.
“…Elevational pattern of mammals, birds, reptiles, amphibians, fishes and plants have been reported from the Himalayan region (Bhattarai and Vetaas 2003;Bhattarai et al 2004;Oommen and Shanker 2005;Behera and Kushwaha 2007;Chettri 2007;Thapa 2008;Chettri 2010a;Chettri et al 2010;Acharya et al 2011a, b;Khuroo et al 2011;Price et al 2011;Bhatt et al 2012;Naithani and Bhatt 2012;Telwala et al 2013). Despite being important part of an ecosystem (often considered as bio indicators) such studies on butterflies are scanty in the Himalayas (Bhardwaj et al 2012) as well as at global level (Fleishman et al 1998;Vu and Yuan 2003;Levanoni et al 2011;Despland et al 2012;Ilian et al 2012).…”
The species richness pattern along spatial scales (latitudinal or elevational) forms useful tools in understanding diversity gradients and their underlying mechanisms. Understanding elevational diversity patterns of biodiversity have strong conservation implications. Himalayas are unique systems in exploring such gradients as they harbor tallest mountains in the world. Here, we explored the elevational pattern, its underlying causes, turn over rate and range size distribution of butterflies in Sikkim, Eastern Himalaya, India. We followed fixed width point count method for sampling butterflies covering 1014 points spread over 23 transects along the elevation gradient (300-4700 m) in Sikkim. Data on environmental factors and habitat parameters were obtained from our published literatures of the same study system. During this study we observed a total of 2749 butterflies representing 161 species and six families. Species richness pattern of butterflies followed declining trend along the elevation gradient with a hump at around 1000 m. Various environmental factors and habitat variables correlated strongly with the species richness and abundance of butterflies. Among the set of factors, mean annual temperature and actual evapotranspiration remained the most important determinants reflecting the importance of energy and productivity for butterfly distribution in the Eastern Himalayan elevation gradient. Butterflies showed high turnover along the gradient. Elevational range profile of butterflies showed that around 38.5 % species restricted below 2000 m elevation. We observed that low elevation areas are important for conservation of butterflies in the Eastern Himalaya although entire elevation gradient is crucial for small range-sized species.
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