Plant Ecology and Evolution 150(1): 45-58, doi: 10.5091/plecevo.2017.1162
Elucidating woody vegetation patterns in relation to soil and topography in tropical Africa: the case of Nech Sar National Park (Ethiopia)
Gatew M. Shetie, Stefaan Dondeyne, Jan Nyssen, Karen Vancampenhout, Jozef Deckers© Botanic Garden Meise and Royal Botanical Society of Belgium. all rights reserved Citation:
Shetie GM, Dondeyne S, Nyssen J, Vancampenhout K, Deckers J (2017) Elucidating woody vegetation patterns in relation to soil and topography in tropical Africa: the case of Nech Sar National Park (Ethiopia). Plant Ecology and Evolution 150(1): 45-58. https://doi.org/10.5091/plecevo.2017.1162 |  |
Abstract
Background and aims – Although soils and topography are reported to be key factors determining vegetation patterns, there are very few studies on this topic in tropical Africa. Given the young nature of the soils of Nech Sar National park, we hypothesised that the woody vegetation would be related to both topsoil and subsoil characteristics. As topography also determines soil characteristics, we investigated whether soil and topography could be considered independently.
Methods – Abundance of woody plant species was measured in 19 stratified randomly selected plots of 20 m × 20 m. At the centre of each plot a soil profile pit was dug and samples were taken from each horizon. Topographic characteristics were derived from a 30 m × 30 m digital elevation model. TWINSPAN and Detrended Correspondence Analysis (DCA) were used to identify major patterns in species composition. Factor Analysis was used to assess the variability of, and correlation between, the soil characteristics. Differences between the vegetation groups in-terms of stand and environmental characteristics was tested with the Mann-Whitney U test. DCA axes describing the major variation in vegetation patterns were correlated with soil and topographic characteristics.
Results – Forest vegetation was found on Fluvisols and Gleyic Cambisols while bushland was found on Andosols and Vertic Cambisols. The vegetation gradient from forest to bushland (DCA-1) was correlated with both topsoil and subsoil characteristics reflecting parent material and alkalinity; these could however not be dissociated from topography. In contrast, variation both within the forest and the bushland (DCA-2) was not correlated with environmental characteristics. We attribute this variation to disturbances such as collection of firewood or logging, and to the absence of large browser or scarcity of wildfires.
Conclusions – This study calls for giving equal attention to topsoil and subsoil for elucidating woody vegetation patterns. Though vegetation patterns vary with topography, a comprehensive understanding requires insights into soils.
Methods – Abundance of woody plant species was measured in 19 stratified randomly selected plots of 20 m × 20 m. At the centre of each plot a soil profile pit was dug and samples were taken from each horizon. Topographic characteristics were derived from a 30 m × 30 m digital elevation model. TWINSPAN and Detrended Correspondence Analysis (DCA) were used to identify major patterns in species composition. Factor Analysis was used to assess the variability of, and correlation between, the soil characteristics. Differences between the vegetation groups in-terms of stand and environmental characteristics was tested with the Mann-Whitney U test. DCA axes describing the major variation in vegetation patterns were correlated with soil and topographic characteristics.
Results – Forest vegetation was found on Fluvisols and Gleyic Cambisols while bushland was found on Andosols and Vertic Cambisols. The vegetation gradient from forest to bushland (DCA-1) was correlated with both topsoil and subsoil characteristics reflecting parent material and alkalinity; these could however not be dissociated from topography. In contrast, variation both within the forest and the bushland (DCA-2) was not correlated with environmental characteristics. We attribute this variation to disturbances such as collection of firewood or logging, and to the absence of large browser or scarcity of wildfires.
Conclusions – This study calls for giving equal attention to topsoil and subsoil for elucidating woody vegetation patterns. Though vegetation patterns vary with topography, a comprehensive understanding requires insights into soils.
Keywords
ANDOSOLS; BUSHLAND; CAMBISOLS; DIGITAL ELEVATION MODEL; FLUVISOLS; RIVERINE FOREST; SOIL CHARACTERISTICS TOPOGRAPHIC CHARACTERISTICS