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A study of altitudinal zonation in the montane forest belt of Mt. Elgon, Kenya/Uganda

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Abstract

Altitudinal changes in the vegetation of the Montane Forest Belt of Mt. Elgon, East Africa, were investigated by analysis of aerial photographs and by sample plots along two transects, one on a relatively wet, and the other on a relatively dry aspect. Classifications for both tree and herb/shrub plots show that the forests along the two transects become increasingly similar floristically with altitude. The total number of tree species recorded is greater for the transect on the moister aspect. The mean altitudinal range for tree species increases on both transects with altitude, while that for herb/shrub species remains constant. It is suggested that the upper altitudinal limits of many species are determined principally by temperature-related factors, while the degree to which species extend their ranges downwards is much influenced by competition. Structural heterogeneity is particularly well marked at altitudes corresponding to the bamboo zone on the wetter slopes and, even in the absence of bamboo, tree density here is much reduced. it is suggested that thicket-forming species, including bamboo, have enhanced competitive ability in intermediate altitude montane forests. Previously advanced classificatory schemes for montane forest vegetation in eastern Africa are examined in the light of the findings.
... Further explorations were done in the 1930s where 649 species were collected of which 32 were new species by Bullock (1932;1933). Since then, the fascinating flora of Mt Elgon has been vastly studied by a number of botanists (Dale 1940;Hedberg 1955Hedberg , 1957Hedberg , 1964Langdale-Brown et al. 1964;Synnott 1968;Tweedie and Agnew 1970;Hamilton 1975;Tweedie 1976;Hamilton and Perrott 1981;Beck et al. 1987; van Heist 1994;Davenport et al. 1996;Reed and Clokie 2000;Wesche 2002;Bakamwesiga et al. 2005;Russell et al. 2017). Significantly, Tweedie and Agnew (1970) reviewed Lugard's initial plant samples of Mt Elgon, Dale in 1940 studied the forest types, while Tweedie (1976) classified plants according to their different habits. ...
... Significantly, Tweedie and Agnew (1970) reviewed Lugard's initial plant samples of Mt Elgon, Dale in 1940 studied the forest types, while Tweedie (1976) classified plants according to their different habits. Hamilton and Perrott (1981) studied the altitudinal vegetation zones; van Heist in 1994 produced an aerial map; Reed and Clokie (2000) documented the effects of grazing and cultivation on forest communities; and Wesche in 2002 recorded the different plant communities of Mt Elgon. Okello et al. (2010) reported the ethnobotanical significance of Mt Elgon species to the Sabaoti community, while Russell et al. (2017) documented the forest trends and implication of governance regimes. ...
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Mt Elgon is an ancient transboundary volcanic mountain found at the Kenya-Uganda boarder possessing high plant diversity. This study documents an updated checklist of the mountain’s vascular plants obtained through random-walk field excursions and retrieval of herbarium specimen tracing back to 1900. We compiled 1709 species from 673 genera in 131 families. One new species of the family Cucurbitaceae was also reported. This checklist records respective habitat, habits, elevation ranges, voucher numbers and global distribution ranges of each species. Native and exotic species were also distinguished, where 8.4% of the total species in 49 families were exotic species. There were 103 endemic species, while 14 species were found to be both rare and endemic. IUCN conservation status revealed 2 Critically Endangered, 4 Endangered, 9 Vulnerable and 2 Near Threatened species. This study presents the first and most comprehensive plant inventory of Mt Elgon that will facilitate further ecological and phylogenetic studies.
... soils) combined with a non-random pattern ( sensu Lomolino, 2001) in temperature and precipitation variations along the elevation gradient. Hamilton and Perrot (1981) believed that the structure and distribution of plant communities on the highest portions of mountain slopes often seem to be related to temperature and other climatic factors, while those at lower elevations may be determined by more benign biotic or abiotic factors. Pausas and Austin (2001) state that the main factors determining species richness patterns at the local level are resource availability and responses to environmental variables that have a direct physiological impact on plant growth or on resource availability. ...
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This article presents an analysis of plant species richness and diversity and its association with climatic and soil variables along a 1300-m elevation gradient on the Cerro Tláloc Mountain in the northern Sierra Nevada in Mexico. Two 1000-m2 tree sampling plots were created at each of 21 selected sampling sites, as well as two 250-m2 plots for shrubs and six 9-m2 plots for herbaceous plants. Species richness and diversity were estimated for each plant life form, and beta diversity between sites was estimated along the gradient. The relationship between species richness and diversity and environmental variables was modelled using simple linear correlation and regression trees. Species richness and diversity showed a unimodal pattern with a bias towards high values in the lower half of the elevation gradient under study. This response was consistent for all three life forms. Beta diversity increased steadily along the elevation gradient, being lower between contiguous sites at intermediate elevations and high – the species replacement rate was nearly 100%– between sites at the extremes of the gradient. Few species were adapted to the full spectrum of environmental variation along the elevation gradient studied. The regression tree suggests that differences in species richness are mainly influenced by elevation (temperature and humidity) and soil variables, namely A2 permanent wilting point, organic matter and horizon field capacity and A1 horizon Mg2+.
... It was also related to the impact of protected areas charging fees to the local population in Uganda, as regulated under section 43 of the Wildlife Act, 2019. Additionally, it was related to an initiative at Fuzzy Systems Inc. aimed at improving local computer literacy levels and the usage of computers as teaching tools [50,51]. Some of the known sustainable tourism efforts, as promoted by the International Institute for Peace through Tourism and adopted by the Uganda Tourism Board, are related to efforts at conserving the environment, and wildlife, and giving back to the community. ...
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This paper examines the relationship between business, commerce, education, and their impact on the quality of life, tourism, and academic performance in Western Uganda. It explores how initiatives in these sectors contribute to economic growth, social development, and educational outcomes. Using a mixed-methods approach, data is collected from various sources including literature review, field studies, and stakeholder interviews. The study evaluates the effectiveness of existing programs and proposes strategies for enhancing synergies between these sectors to maximize their collective benefits. The findings shed light on the potential for fostering sustainable development and improving livelihoods in the region.
... The vegetation on mountains has a considerable impact on ecosystems, and in mountainous areas [1], vertical vegetation differentiation is the most important spatial pattern of vegetation [2,3], reflecting the surrounding environment's law of vertical differentiation [4,5]. An accurate understanding of the vertical zones of mountain plants is essential to understanding the characteristics and functions of mountain ecosystems. ...
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Vertical vegetation differentiation is the most important form of spatial pattern in mountainous areas. It is of great significance to accurately divide vegetation into vertical zones for the study of mountain ecosystems and ecological protection. In order to accurately divide the vertical zone of mountain vegetation and determine the spatial distribution of mountain vegetation, the relationship between the vegetation index of various vegetation types and altitude was examined using remote sensing and geographic information technology. Taking Taibai Mountain, the main peak of the Qinling Mountains in China, as the study area, based on the difference in NDVI between summer and autumn (DNSA), this work constructed a DEM-NDVI scatter plot and quantified the boundary of the vertical zone by the half-peak width calculation method. The findings showed that: (1) the vertical distribution pattern of mountain vegetation may very well be reflected in the scatterplot that NDSA and DEM created; (2) Six vertical belts could be accurately identified to the meter level on Taibai Mountain’s south slope. Up to the altitude, the oak forest zone from the bottom of the mountain to the elevation of 1919 m, the pine-oak mixed forest zone is distributed in 1919–2331 m, the birch forest is distributed in 2115–2585 m, the fir forest is distributed in 2516–3150 m, the redwood forest is distributed in 3109–3551 m, and the alpine scrub meadow is distributed in 3551 m to the peak. On the north slope, 1053–2087 m above sea level is oak forest, 2087–2693 is birch forest, 2562–3006 is fir forest, 2987–3513 m is redwood forest, and 3513 to the top of the mountain is alpine scrub meadow; and (3) the distribution pattern of the vegetation vertical belt on the DEM-NDVI scatter plot was essentially compatible with the vegetation classification results derived from remote sensing images. The DEM-NDVI scatter plot can reflect the average distribution of vegetation population and can more accurately express the characteristics of vegetation vertical zone changes with altitude.
... Because the diversity of life forms in the plant community does not respond consistently to the environment, plant species with different life forms show different distribution patterns with altitude. Relevant studies have shown that a negative correlation between species diversity of woody plants and increasing altitude generally exists in different ecosystems [35][36][37], while the plants studied in this study were mostly subshrubs, which led to the different results. Vegetation biomass and species richness decreased exponentially with elevation. ...
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A precise evaluation of spatial patterns in desert vegetation biomass, species richness and their environmental controls is essential for a deeper comprehension of the potential carbon preservation and sustainability of grassland ecosystems. There are widespread reports suggesting robust associations among biomass, species richness and mean annual precipitation (MAP) or temperature (MAT) at different scales. However, these reports were inconsistent, and knowledge on the desert grasslands of Central Asia remains limited. In this study, we showed that spatial patterns of biomass and species richness along the zonal climate of the northern Tianshan Mountains exhibited substantial regional differences and the relationship among biomass, richness and elevation exhibited a substantial exponential decline. We discovered that functional groups of biomass, total biomass and species richness in the desert exhibited exponential growth along the MAP gradient and a quadratic relationship with MAT. Furthermore, the biomass–species richness relationships were bell-shaped in the desert zone. Accordingly, the biomass and species richness had spatial differences. At a regional scale, the spatial variation in the desert biomass and species richness was primarily dependent on climate. Our results demonstrated the specificity between the desert vegetation and climate in arid regions of Central Asia and revealed the regularity between biomass and species richness in desert areas. The research results emphasized the impact of precipitation on desert vegetation in arid regions of Central Asia and the relationship between biomass and plant species richness, which is of great significance for understanding desert ecosystems and protecting the ecological environment.
... Cultures were maintained in a culture room at 26 ±1 ^C under a photoperiod of 1.). This index provides an integrated value for the two components of a-diversity, variety and evenness (Hamilton & Perrott, 1981). In order to make a visual comparision of biomass/species variation between plots, a similarity matrix of the basal area per hectare for all species by plot was produced with Hierarchical Cluster Analysis, using Ward's method and squared Euclidean distance (HCA) and two dimensional coordinates were produced fi-om this matrix using multidimensional scaling (MDS). ...
Thesis
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