Research Paper |
Corresponding author: Mogamat Igshaan Samuels ( isamuels@uwc.ac.za ) Academic editor: Ute Schmiedel
© 2023 Mogamat Igshaan Samuels, Manam Saaed, Shayne Jacobs, Mmoto Leonard Masubelele, Helga Van der Merwe, Lesego Khomo.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Samuels MI, Saaed M, Jacobs S, Masubelele ML, Van der Merwe H, Khomo L (2023) Vegetation structure and composition at different elevational intervals in the arid Tankwa Karoo National Park, South Africa. Vegetation Classification and Survey 4: 115-126. https://doi.org/10.3897/VCS.86310
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Study area: The study was conducted in the Tankwa Karoo National Park, one of the driest areas in South Africa. Historic overgrazing has resulted in the poor and often degraded state of vegetation in large parts of the Tanqua Karoo region. Aim: This study assessed the spatial variation of vegetation structure and composition in the three main vegetation types namely: Tanqua Karoo (TK), Tanqua Wash Riviere (TWR) and Tanqua Escarpment Shrubland (TES), along an elevational gradient. Method: Using the point intercept survey method, vegetation cover, plant height, species diversity, life forms, proportions of perennials and annuals were examined in 43 sites, widely distributed in these vegetation types. Results: There were 150 vascular plant species belonging to 83 genera and 29 families recorded across all sites. The most diverse vegetation type was TES with 96 species belonging to 61 genera and 26 families. The vegetation structure was comprised mainly of shrubs and dwarf shrubs with a high proportion of leaf and stem succulent species. The mean perennial vegetation cover throughout the study area was 28 and annuals covered 22%, but this cover varied significantly between the vegetation types. The most dominant life forms were chamaephytes, which comprised 64% of all species, with cryptophytes (18%), therophytes (16%) and nanophanerophytes (2%) less abundant. Surveyed sites in the TES showed a clear association with each other but there was an overlap in the species composition and environmental conditions between some TWR and TK sites. This study highlighted the important role of elevation and topography as drivers of vegetation characteristics. Conclusion: The findings from this study can be used as a vegetation baseline to identify and prioritise degraded areas for active restoration in order to limit further degradation. Considering climate change, elevational studies may provide additional insight into species dynamics across landscapes.
Taxonomic reference: Plants of Southern Africa Checklist (
Abbreviations: ANOVA = analysis of variance; GPS = Global Positioning System; LFA = Landscape Function Assessment; NDVI = Normalized difference vegetation index; PCA = principal component analysis; PCo-A = principal co-ordinate analysis; TES = Tanqua Escarpment Shrubland; TK = Tanqua Karoo; TKNP = Tankwa Karoo National Park; TWR = Tanqua Wash Riviere.
arid environment, land degradation, life form, spatial variation, Succulent Karoo, vegetation composition, vegetation types
The Succulent Karoo Biome is a semi-desert region that extends along the western parts of South Africa and Namibia. It covers an area of approximately 111,000 km2 on the arid and semi-arid fringes of South Africa’s Cape Floristic Region (
It is well documented that arid and semi-arid lands of the world have been subjected to vast and often radical vegetation changes (
The common features of degradation in the Succulent Karoo region are a decline in vegetation cover, and changes in plant species and life form composition (
Vegetation indicators such as vegetation cover, structure, and diversity are usually considered important indicators of rangeland health and degradation (
In the Succulent Karoo context, there is still insufficient information about the vegetation, particularly on in the Tankwa Karoo National Park (TKNP) and adjacent areas. A previous study conducted by
The main aim of this study was to assess the vegetation structure and composition in the TKNP in relation to different elevations and determine the variation in these vegetation characteristics within and among the three main vegetation types i.e. Tanqua Karoo (TK, SKv5), Tanqua Wash Riviere (TWR, AZi7) and Tanqua Escarpment Shrubland (TES, SKv4) as described by
The TKNP in South Africa stretches from the western low-lying plains towards the east to include parts of the Roggeveld escarpment and Roggeveld plateau (
Map of the study area showing the different vegetation types (after
From west to east, the physiography of the study area varies greatly from open flats to gently undulating plains, then rises steeply to the escarpment formed by the Roggeveld Mountains (
According to
The soils of the area are characterised by young, shallow skeletal features mainly as a result of sheet erosion (
The vegetation of the region is part of the Succulent Karoo biome. Renosterveld is the only vegetation type in the area belonging to the Fynbos biome, occurring on the uplands of the Roggeveld Mountains (
The field surveys were conducted at different elevational intervals, covering the three main vegetation types namely: Tanqua Karoo (TK) which occupied the open low-lying plains, Tanqua Wash Riviere (TWR) which occupied the floodplains at the foot of the escarpment and the catchment areas near the rivers and drainage lines, and Tanqua Escarpment Shrubland (TES) which occupied the escarpment of the Roggeveld Mountains. Data were gathered during the spring (September and October) of 2015, the season of commencement of growth for most plant species. The NDVI from Landsat 8 and cadastral boundaries were used to select the areas where the survey sites were to be located. The specific survey points were selected using ArcGIS software that also considered the accessibility to conduct field surveys at the site. The study was conducted at 43 survey sites, widely distributed across the chosen vegetation types. The elevational intervals where the survey sites were located ranged between 338–403 m in TK, 504–717 m in TWR, and 778–1149 m in TES. The TK covered the largest area and comprised 15 survey sites, the TWR and TES comprised 15 and 13 sites, respectively.
A GPS was used to locate the survey sites in the field. Digital photographs of the three main vegetation types (Figure
Vegetation canopy cover was estimated as the percentage of the 400 points surveyed that made contact with a living plant, and the total number of strikes per species was expressed as a percentage of the total number of point observations. To observe variations in the life form composition, each species was assigned to a life form category as defined by
Representative photos of the studied vegetation in the Tankwa Karoo National Park. Photo A shows the landscape and some plants species that are found in the Tanqua Karoo vegetation type. Photo B illustrates the abundance of grasses in Tanqua Wash Riviere vegetation and photo C shows the shrubiness of the Tanqua escarpment vegetation.
A Landsat scene (Landsat-8 OLI/TIRS) captured in September 2015 with a spatial resolution of 30 m was used to extract the NDVI, which was used as a proxy for vegetation cover. This Landsat image was atmospherically and radiometrically corrected for surface reflectance. Based on the NDVI values ranging from -1 to 1, the survey sites in each of the vegetation types were selected to ensure that sites with a range of vegetation cover were included in the field surveys. The data collected during the field surveys was analysed for differences between and among the three vegetation types using two statistical software packages: IBM SPSS version 26 and Primer version 6.
Currently accepted scientific names at the specific, generic, and family levels were updated according to the latest checklist of the Plants of Southern Africa Checklist (
To assess vegetation structure and floristic composition, we analysed vegetation cover, species richness, diversity (using Shannon–Wiener diversity index) and evenness. The dominance of plant life forms and species was determined using canopy percentage cover. The data were tested for normality using the Shapiro-Wilk before variation analyses were performed. Significant differences (p<0.05) amongst the vegetation types across all of the examined parameters were explored using a one-way analysis of variance (ANOVA), thereafter the Tukey HSD post hoc test was used. Furthermore, all the vegetation and environmental variables were subjected to a principal component analysis (PCA) and principal co-ordinate analysis (PCo-A) to investigate any significant associations or possible clustering of survey sites (
The survey sites spread throughout the three vegetation types (TK, TWR, and TES) in the TKNP spanned a wide range of elevations that varied between 338 m above sea level on the flatter plains to 1149 m on the escarpment. Slope inclination ranged from zero on the plains to about 40% at some sites on the escarpment. A total number of 150 vascular plant species belonging to 83 genera and 29 families were identified along the transects across all sites (Suppl. material
The vegetation structure of the study area was comprised mainly of shrubs and dwarf shrubs with a high proportion of leaf and stem succulent species. Annuals (therophytes) and cryptophytes were comprised mostly of winter growing species and were abundant after good rains. The study demonstrated that annual plant species were well represented in the open plains and their cover proportion was relatively high (33%), and were less frequent on the escarpment (12%), where perennial shrubs dominated. The most frequently occurring species on the open plains (TK) were Ursinia nana, Euryops annuus, and Stipagrostis ciliata (Table
Synoptic table showing the species with >35 phi coefficient of association fidelity values in the three main vegetation types TK (Tanqua Karoo), TWR (Tanqua Wash Riviere) and TES (Tanqua Escarpment Shrubland) in Tankwa Karoo National Park. The detailed phytosociological information is shown in Suppl. material
Vegetation type | TES | TWR | TK |
---|---|---|---|
Number of relevés | 13 | 15 | 15 |
Montinia caryophyllacea Thunb. | 66.1 | — | — |
Pteronia pallens L.f. | 66 | — | — |
Tylecodon wallichii (Harv.) Toelken | 65.5 | — | — |
Drosanthemum lique (N.E.Br.) Schwantes | 63.2 | 6.3 | — |
Euphorbia mauritanica L. | 60.3 | — | — |
Tenaxia stricta (Schrad.) Conert | 54.2 | — | — |
Tylecodon paniculatus (L.f.) Toelken | 54.2 | — | — |
Justicia cuneata Vahl. | 54.2 | — | — |
Searsia undulata (Jacq.) T.S.Yi | 53 | ||
Mesembryanthemum noctiflorum (L.) Schwantes | 50 | 40 | — |
Oxalis pes-caprae L. | 49.9 | — | — |
Lacomucinaea lineata L.f. | 47.8 | — | — |
Pentzia incana (Thunb.) Kuntze | 47.8 | — | — |
Pteronia incana (Burm.) DC. | 47.8 | — | — |
Tylecodon reticulatus (L.f.) Toelken | 47.8 | — | — |
Berkheya spinosa (L.f.) Druce. | 46.3 | — | — |
Eriocephalus microphyllus DC. | 46.3 | — | — |
Ruschia centrocapsula H.E.K.Hartmann & Stüber | 41.4 | 9.2 | — |
Asparagus capensis L. | 41.1 | — | — |
Euphorbia rhombifolia E.Mey | 41.1 | — | — |
Crassula muscosa L. | 40.8 | — | — |
Eriocephalus punctulatus DC. | 40.8 | — | — |
Fingerhuthia africana Lehm. | 40.8 | — | — |
Gorteria alienata (Thunb.) Druce | 40.8 | — | — |
Oxalis sp | 38.6 | — | — |
Galenia africana L. | 37.3 | — | — |
Drosanthemum framesii L. Bolus | — | 65.8 | — |
Salsola aphylla L.f. | — | 59.3 | 2.7 |
Galenia sarcophylla Fenzl | — | 56 | — |
Dimorphotheca pinnata (Thunb.) Norl. v | — | 55.5 | — |
Cotula microglossa (DC.) O.Hoffm. & Kuntze ex Kunt | — | 53.4 | — |
Mesembryanthemum guerichianum Pax | — | 50 | — |
Atriplex lindleyi Moq. | — | 44.2 | — |
Lampranthus otzenianus (Dinter) Friedrich | — | 44.2 | — |
Mesembryanthemum junceum (Haw.) Schwantes | — | 41.6 | — |
Oncosiphon suffruticosum (L.) Källersjö | — | 37.8 | — |
Pteronia villosa L.f. | — | 37.8 | — |
Ursinia nana DC. | — | — | 50 |
Euryops annuus Compton | — | — | 47.7 |
Stipagrostis ciliata (Desf.) De Winter var. capens | — | — | 40.8 |
Gazania lichtensteinii Less. | — | 12.2 | 40.6 |
Leysera tenella DC. | — | — | 37.8 |
Tetraena chrysopteros Retief | — | — | 36.3 |
Malephora crassa (L.Bolus) H.Jacobsen & Schwantes | — | — | 35.4 |
The most common families in all the surveyed vegetation types were Aizoaceae, Iridaceae, and Asteraceae. Amaranthaceae and Zygophyllaceae were more common in TK and TWR while Fabaceae was only observed in TWR and TES. Poaceae was more frequent in TK and TES than in TWR. Oxalidaceae and Solanaceae were more frequent in TES than in TK and TWR. Asparagaceae, Crassulaceae, Euphorbiaceae, Geraniaceae, and Malvaceae were only recorded on the escarpment (Table
The most common plant families per vegetation type, percentage cover of species per family, and percentage of sites in which families were found for TK (Tanqua Karoo), TWR (Tanqua Wash Riviere) and TES (Tanqua Escarpment Shrubland) in the Tankwa Karoo National Park.
Family | TK | TWR | TES | |||
---|---|---|---|---|---|---|
Species (%) | Sites (%) | Species (%) | Sites (%) | Species (%) | Sites (%) | |
Aizoaceae | 26.9 | 100.0 | 28.6 | 100.0 | 18.8 | 100.0 |
Amaranthaceae | 4.5 | 62.5 | 3.2 | 85.7 | 1.0 | 7.7 |
Asteraceae | 28.4 | 93.8 | 28.6 | 92.9 | 24.0 | 100.0 |
Asparagaceae | 0.0 | 0.0 | 0.0 | 0.0 | 3.1 | 46.2 |
Crassulaceae | 0.0 | 0.0 | 0.0 | 0.0 | 5.2 | 100.0 |
Euphorbiaceae | 0.0 | 0.0 | 0.0 | 0.0 | 3.1 | 61.5 |
Fabaceae | 0.0 | 0.0 | 4.8 | 35.7 | 6.3 | 38.5 |
Hyacinthaceae | 0.0 | 0.0 | 3.2 | 14.3 | 0.0 | 0.0 |
Geraniaceae | 0.0 | 0.0 | 0.0 | 0.0 | 3.1 | 38.5 |
Iridaceae | 7.5 | 100.0 | 6.3 | 100.0 | 2.1 | 92.3 |
Malvaceae | 0.0 | 0.0 | 0.0 | 0.0 | 3.1 | 23.1 |
Poaceae | 7.5 | 62.5 | 3.2 | 21.4 | 5.2 | 61.5 |
Oxalidaceae | 3.0 | 25.0 | 7.9 | 42.9 | 5.2 | 92.3 |
Solanaceae | 3.0 | 31.3 | 1.6 | 14.3 | 2.1 | 53.8 |
Zygophyllaceae | 4.5 | 87.5 | 3.2 | 64.3 | 3.1 | 38.5 |
Other | 14.9 | 43.8 | 9.5 | 50.0 | 14.6 | 92.3 |
The mean perennial vegetation cover was 28% across all the study sites and was significantly different amongst the vegetation types. Perennial vegetation was sparser in the TK (9%) and TWR (29%) and was significantly higher in the TES (50%) (Table
The results showed a low rock cover (mean 5%) with the mean rock cover lowest for both TWR and TK and highest in TES. The mean litter cover was also low (4%), with the most litter found in the TWR vegetation and least litter cover (1%) in the TK (Table
The most dominant life forms were chamaephytes, which comprised 64% of the species, cryptophytes (geophytes) 18%, therophytes 16%, and nano-phanerophytes 2%. Chamaephytes dominated the TES while, therophytes were most abundant in the TK as were the Cryptophytes (Table
The mean species richness (S) was 16 species, mean Shannon-Wiener index (H’) 1.86 and species evenness (E) 0.7. The highest mean species richness and Shannon-Wiener index (H’) were recorded in the TES and the lowest in the TK (Table
The mean values, standard error and the analysis of variance (one-way) for the examined parameters in the surveyed vegetation types. The superscripts indicate the significant differences amongst the vegetation types escarpment (TES), flood plains (TWR), and open flat plains (TK) in the various examined parameters. The asterisks demonstrate the significant differences amongst the parameters within each vegetation type.
Vegetation type | TK | TWR | TES | F value amongst vegetation types | p-value amongst vegetation types | |||
---|---|---|---|---|---|---|---|---|
Number of sampling sites | 15 | 15 | 13 | |||||
Mean | SE | Mean | SE | Mean | SE | |||
Elevation (m a.s.l.) | 411.60a | 15.03 | 511.73b | 20.82 | 786.62c | 47.36 | 42.306 | 0.000 |
Slope (%) | 1.33a | 0.39 | 2.73a | 0.80 | 15.77b | 2.71 | 26.299 | 0.000 |
Annual cover (%) | 35.77a | 2.71 | 18.28b | 2.03 | 11.69c | 2.99 | 23.351 | 0.000 |
Perennial cover (%) | 8.62a * | 1.74 | 29.40b * | 3.38 | 49.94c | 3.16 | 51.858 | 0.000 |
Litter cover (%) | 1.03a | 0.34 | 6.43b | 1.11 | 4.92b | 0.64 | 13.251 | 0.000 |
Rock cover (%) | 0.53a | 0.21 | 1.85a | 1.20 | 15.02b | 1.72 | 45.160 | 0.000 |
Denuded areas (%) | 54.05a | 1.49 | 44.03b | 3.79 | 18.42c * | 3.06 | 37.528 | 0.000 |
Shrub height (m) | 0.16a | 0.02 | 0.26b | 0.02 | 0.43c * | 0.03 | 33.383 | 0.000 |
Succulent (%) | 17.68a | 5.33 | 38.27b | 3.90 | 27.99a, b | 4.88 | 4.937 | 0.012 |
Nano-phanerophyte spp. (%) | 0.54a | 0.24 | 0.42a | 0.31 | 4.10b | 1.24 | 8.902 | 0.001 |
Chamaephyte spp. (%) | 50.70a ** | 6.78 | 68.21a, b | 4.39 | 75.79b | 5.39 | 5.179 | 0.010 |
Cryptophyte spp. (%) | 22.76a | 5.32 | 15.57b | 2.98 | 16.76c | 4.18 | 0.836 | 0.441 |
Therophyte spp. (%) | 26.00a | 6.52 | 17.90a, b | 5.05 | 3.32b | 1.31 | 5.010 | 0.011 |
Species richness (S) | 10.33a | 0.51 | 16.47b | 1.15 | 22.08c | 2.06 | 19.495 | 0.000 |
Shannon-Wiener index (H’) | 1.46a | 0.09 | 2.00b | 0.14 | 2.16b | 0.14 | 8.706 | 0.001 |
Species evenness (E) | 0.63a | 0.03 | 0.77b | 0.01 | 0.70a, b | 0.03 | 7.602 | 0.002 |
The principal component analysis (PCA) showed that the first two PC axes explained 58% of the total variation amongst the examined variables (Figure
Bi-plot of the Principal Component Analysis (PCA) showing the distribution of the examined variables according to the first two Principal Components (PCs), the lines meet at the (0, 0) and represent the original variables. The angle between the arrows of a pair of variables indicated similarity in the distribution of the variables. The eigenvalue of the first PC axis was 6.252 explaining 42% of the variation while the eigenvalue for the second PC axis was 2.377 explaining 16% of the variation.
The cluster analysis of the survey sites based on the variables listed in Table
(A) Clustering diagram of Bray-Curtis similarity amongst the survey sites in the different vegetation types; Tanqua Karoo (TK), Tanqua Wash Riviere (TWR), and Tanqua Escarpment Shrubland (TES) based on the life-form and environmental variables examined during this study), (B) Principal Co-ordinate Bi-plot for the distribution of the survey sites based on the different species, life-form and environmental variables, the first two axes explain 61% of the variation. The eigenvalue along the first axis was 336.08 and captured 47% of the total variation. Along the second axis, the eigenvalue was 98.284 and captured 14% of the total variation. The solid black lines denote an 80% similarity between sites wheres the purple broken lines denote a 85% similarity.
Elevation has been shown to be a key factor in determining the distribution of plant species and vegetation communities in different landscapes (
The percentage cover values obtained for the denuded areas were significantly higher for the plains (TK and TWR) than in the escarpment (TES) (Table
This study illustrated that each vegetation type in the study area has adapted to its local environmental conditions which determines its characteristic structure and floristic composition. The vegetation cover and species diversity on the escarpment slopes were higher, as a result of a mixture of succulent and woody, long-lived non-succulent shrubs, in comparison to the plains dominated by therophytes and cryptophytes. This turnover of species across the Tanqua landscape has also been found in the Richtersveld, which is believed to be driven primarily by climatic factors and local habitat features, i.e., elevation, slope, and soil cover (
Throughout the study area, the most common families were Aizoaceae, Iridaceae, and Asteraceae (Table
The distributions of some plant families in the study area were restricted to particular habitats. Asparagaceae, Crassulaceae, Euphorbiaceae, Geraniaceae, and Malvaceae were only recorded on the escarpment. The geology, soils and microclimates of the escarpment may be more favourable to species in these families. Studies (e.g.
Generally, the perennial plant cover throughout the study area was low. The lower perennial and higher annual cover, particularly on the plains, is evidence of low productivity and substantial vegetation degradation (
As a consequence of the higher precipitation and lower temperature and evapotranspiration rate as well as reduced grazing densities, the escarpment is characterised by denser and taller shrubs, with the presence of some small trees. This contrasts with the low open plains characterised by a sparse cover of dwarf shrubs and numerous annual species which are promoted by heavy grazing and are strongly dependent on rainfall (
Even though there was a significant difference amongst the vegetation types in terms of cover of succulent species (leaf and stem), the succulent species contribution was notably high in all of the vegetation types. This high abundance of succulent species is common throughout the Tanqua Karoo region (
Different plant life forms are usually distributed along an elevational gradient (
The variation in vegetation composition is reflected in the biodiversity patterns, which also varied spatially across the study area, with higher biodiversity values found for the escarpment. Species richness on the escarpment was about double the species richness on the open plains and about 1.6 times greater than on the flood plains. The Shannon-Wiener index showed a similar trend, while there was a relatively high species evenness index across the vegetation types. These plant diversity patterns may be attributed to the variation in the environmental factors (e.g. elevation gradient, rainfall, air temperature), which create a variety of habitats with different environmental conditions (
There were significant variations amongst the surveyed sites within the same vegetation types in many of the examined parameters such as vegetation cover, litter cover, denuded areas, succulent species, species richness, and diversity illustrating variability within the same vegetation type. This may indicate different states of vegetation condition and different degradation potentials within the same vegetation type. The finer differences in soils, microclimates and plant-plant and plant-animal interactions have been shown to also play a role in variability within arid landscapes such as in the case of heuweltjies (termitaria) and quartz patches specifically in the Succulent Karoo (
Although the vegetation differences amongst the vegetation types are likely a result of an interaction of the biotic and abiotic components of the system, the results of a principal component analysis (PCA) (Figure
This study revealed the high heterogeneity in vegetation structure and composition and their related indices that included cover, plant height, species richness and diversity and life form diversity across the Tankwa Karoo National Park. Areas in the park located at higher elevations where TES vegetation prevails, were more vegetated and species rich due to the effect of elevation and topography on climate and habitat heterogeneity. The low-lying TK was more arid and environmentally stressed and exhibited a low vegetation and litter cover. The effect of elevation on vegetation characteristics improves our understanding of the likely trajectories of change in vegetation when the climate changes in the future. Concomitantly, this information could be used to prioritise areas for active interventions such as degraded areas which have significantly lower plant cover and diversity, and are therefore more susceptible to erosion and further degradation. Personal observations by the authors noted that some restoration interventions by the state have been hugely successful in the park thus results of this study can also be used to inform those interventions.
The data would be made available by the authors on reasonable request.
M.I.S. conceived the study, analyzed the data, authored and reviewed the manuscript and approved the final draft. M.S. conceived the study, analyzed the data, authored and reviewed the manuscript and approved the final draft. S.J.J. conceived and designed the experiments, reviewed the drafts of the manuscript. M.L.M. conceived study, authored and reviewed drafts of the manuscript and approved the final draft. H.v.d.M. assisted with plant identification, authored and reviewed the manuscript and approved the final draft. L. K. conceived and designed the experiments, analyzed the data, prepared figures and tables, reviewed drafts of the manuscript and approved the final draft.
We thank SANParks for permission to work in the park, with a special mention of of Letsie Coetzee, Kennet Makondo and all of Tankwa Karoo National Park. Thank you to Adrian Simmers, Edwina Marinus and S. P. Bester for helping identify plant species. Manam Saeed was sponsored for a PhD by the Lybian Embassy in South Africa.
A checklist of species and their categorization within the different plant families, growth and life forms in the Tankwa Karoo National Park as identified during the study.
Phytosociological information of plant species in relation to relevés and vegetation types in the Tankwa Karoo National Park.