Keywords

figure a

Vegetation on the upper slopes of Mount Kenya is characterized by Senekio keniodendron and Lobelia telekii. Image was acquired at the head of Teleki Valley, close to Tyndall Glacier

1 Introduction

Giant rosette plants occur on the slopes of the East African mountains. Giant forms of Senecio and Lobelia are abundant and widespread taxa that are endemic to the alpine zone of Mount Kenya (Coe 1967). The vegetation on the volcanic land is characterized by giant rosette species, including Senekio keniodendron (Dendrosenecio keniodendron; SK; Fig. 1) and Lobelia telekii (LT; Fig. 2). These species and other giant rosette plants are typical of high-elevation tropical landscapes with large diurnal temperature fluctuations (Hedberg 1964; Coe 1967; Rehder et al. 1988). These unusual plants are an important natural resource of Mount Kenya, which has been designated a World Heritage site and has received the status of national park in Kenya. Eco-tourism is a major industry in Kenya. As these species attract the interests of tourists, an expanded knowledge of the distribution dynamics and habitats of these unusual plants is expected to contribute to the development of this industry. The data will also improve our understanding of the changes in vegetation associated with recent climate changes. The giant rosette species are relatively long-lived, a trait that enables investigation of the effects of long-term changes in local environments (Young 1994).

Fig. 1
figure 1

Photographs of Senekio keniodendron (adult and juvenile) in Teleki Valley, Mount Kenya

Fig. 2
figure 2

Photographs of Lobelia telekii (adult and juvenile) in Teleki Valley, Mount Kenya

In this study, I investigated an early vegetation succession on Mount Kenya in areas that were recently deglaciated. I examined the distribution of SK and LT on this terrain. Vegetation distribution at the foot of a glacier in tropical alpine zones is determined by the timing of deglaciation and a range of other environmental factors such as soil development (Matthews 1992). Mizuno (2005a) showed that giant rosette plants, which are distributed around the glacier, are affected by geomorphological conditions and gravel size. Young (1991, 1994) and Young and Peacock (1992) conducted biological surveys of giant rosette plants. Smith and Young (1982, 1987, 1994) examined the population dynamics of these plants. The studies found that LT occurs mainly on dry rocky slopes at elevations of 3500–5000 m (Young 1994). Smith and Young (1994) showed that changes in the population of SK are related to slope aspect and elevation. However, micro-scale analyses of the relationship between giant rosette plant distribution, vegetation succession, and habitat conditions are yet to be explored. The dynamics of seedlings and the growth period in high-elevation zone are especially unclear. I investigated the distribution dynamics of giant rosette plants through field studies in 2016 and 2018.

2 Research Area

Mount Kenya is an isolated, extinct volcano located on the Equator (0°6′S, 37°18′E). The summit (Batian) is at an elevation of 5199 m. Rocks on the volcanic massif consist of basalt, phonolite, kenytes, agglomerates, trachyte, and syenite (Bhatt 1991). This study was conducted below the snout of Tyndall Glacier (Fig. 3), which is the second largest glacier on the volcano. The snout is at an elevation of 4600 m. The glacier has continually retreated for at least 100 years (Hastenrath 2008).

Fig. 3
figure 3

Location of the research site (contour map generated by the SRTM-3 DEM model)

The Tyndall Glacier retreated at a rate of 0–3 m/year during 1958–1997, the rate of retreat was increased to 7–15 m/year between 1997 and 2011 (Mizuno and Fujita 2014). The recent trends of deglaciation are strongly related to global warming (Mizuno and Fujita 2014). Mizuno and Fujita (2014) also showed that pioneer plant species have advanced with the retreat of the glacier. The movements of some species did not appear to be spatially related to glacial retreat; however, they might be related to an increase in air temperature, soil development, seed dispersal limitation, and the interval of masting (Mizuno and Fujita 2014). Tyndall Glacier has developed glacial moraines during different developmental periods since the last glacial period (Mahaney 1990). For example, Lewis moraine was formed 100 years ago (Fig. 4). Although the abundance of plants was very low on this youngest moraine, several species were able to get established in this location (Mizuno 2005b). The characteristics of vegetation on the deglaciated moraines in this area have been reported by Mizuno and Fujita (2014).

Fig. 4
figure 4

Contour map of the terrain below the snout of Tyndall Glacier, Mount Kenya. The margins of Tyndall Glacier and geomorphological features are described in Mizuno and Fujita (2014). (Contour map generated by the AW3D DEM model)

Data from the Centre for Training and Integrated Research in ASAL Development (CETRAD) indicate that the average rainfall from 1978 to 2019 was 1493.5 mm/year at Naro Moru meteorological station (Altitude: 3050 m). The maximum rainfall recorded was 2030.3 mm in 1981, and the minimum rainfall recorded was 939.2 mm in 2000. During 2016, 2017 and 2018, when the study was conducted, the average annual precipitation was 1194.2 mm, 1304.0 mm, and 1914.4 mm, respectively. Therefore, we can suggest that precipitation near the study site was lesser than the average in 2016 and was higher than the average in 2018.

3 Research Methods

The field survey was conducted in August 2016 and August 2018. The research area was located inside a ridge of Lewis moraine on a trim line (Fig. 4). The positions of all individual types of giant rosette species of SK and LT that are taller than 3 cm were mapped in 2016. In this study, the growth and death of all existing individuals of the two species in 2018 were analyzed, and the appearance of new species was recorded. The distribution maps of SK and LT were plotted using these data. A contour map was generated with a 5 m-mesh using the ALOS World 3D topographic data digital surface model (AW3D; NTT DATA, RESTEC included JAXA).

I analyzed the relationship between the distribution of giant rosette plants and elevation, slope angle, and slope direction using AW3D data. Solar radiation (W m–2 day−1) was calculated using AW3D and the r.sun package in GRASS GIS. The procedure was influenced by the shadow of the summit, and not by the amount of cloud cover. Therefore, the calculated values were ideal for this study.

4 Results

4.1 Distributions of Giant Rosette Plants

Table 1 lists the changes in the number of SK and LT plants in 2016 and 2018. The number of SK and LT plants in 2018 were 171 and 217, respectively. During the period 2016–2018, 14 individuals of SK species died and 15 were recruited; and 31 individuals of LT died and 34 were recruited. Hence, the population densities were stable over this two-year period.

Table 1 Changes in the number of live and dead individuals of Senekio keniodendron and Lobelia telekii during 2016 and 2018

The average height of SK was 21.0 cm (maximum: 112 cm). The average height of LT was 17.7 cm (maximum: 199 cm). Figures 5 and 6 show the distributions of SK and LT, respectively. Both species were distributed around Tyndall Tarn. The distribution area was approximately 400 m distant from the glacier. The two species were mostly distributed on the north-western slope and on the southern side of the tarn. They were less frequent in the northern sector of the tarn, which was near to the glacier, and on the eastern side of the tarn. Dead individuals and new recruits were sparsely distributed.

Fig. 5
figure 5

Changes in the distribution of Senekio keniodendron between 2016 and 2018; the area lies below the snout of Tyndall Glacier, Mount Kenya

Fig. 6
figure 6

Changes in the distribution of Lobelia telekii between 2016 and 2018; the area lies below the snout of Tyndall Glacier, Mount Kenya

4.2 Growth of Senekio Keniodendron and Lobelia Telekii

The heights of SK and LT changed over two years. The average increase in the height of SK and LT was 3.7 cm and 8.7 cm, respectively; the corresponding maximum height was 22 cm and 124 cm. SK and LT possessed similar growth patterns; however, their growth processes differed. The growth of LT was caused by the elongation of anthotaxis (Fig. 7).

Fig. 7
figure 7

Photographs of grown anthotaxis in Lobelia telekii

Figure 8 is a scatter plot showing the differences in the height of LT between 2016 and 2018 (newly recruited plants and dead individuals are not included in the plot). It can be observed that the size of almost all individuals was increased, but the height of certain species was reduced in 2018. Height losses could be attributed to the foraging animals, such as tree hyraxes. When the heights of rosette leaves were >20 cm in 2016, the elongation rate of anthotaxis tended to increase (Fig. 8); when the heights were <20 cm in 2016, anthotaxis did not develop.

Fig. 8
figure 8

Growth rate of Lobelia telekii during the period 2016–2018. The red line indicates a zero-growth rate

4.3 Environmental Factors

The distribution pattern of both species was related to elevation. Figure 9 shows the number of live, dead, and newly recruited individuals in relation to changes in elevation. Generally, the number tended to increase at lower elevations and decrease at higher elevations. The distribution was patchy, even at lower elevations. This patchiness was related to local topography. However, the relationship between elevation and the number of dead and newly recruited individuals was not clear.

Fig. 9
figure 9

Number of Senekio keniodendron and Lobelia telekii individuals in relation to changing elevation

Both species generally occurred on flat terrain with a slope of 10°; however, certain species were also found on the relatively steep slopes of approximately 30°. Most individuals occurred on slopes with a southeast aspect.

Figure 10 shows the density plot of number of individuals in relation to solar radiation. The two curves in the figure are (i) the probability density function of SK and LT, and (ii) the probability density function of random points generated by GIS. SK and LT tended to occur in areas with elevated solar radiation. Kolmogorov–Smirnov tests showed that the distributions of both species were significantly different (p < 0.01), indicating that their abundance was related to the amount of solar radiation. Although most plants occurred in strongly illuminated sites, a few individuals did not; hence, solar radiation might not be the only factor influencing the distribution pattern. Seed dispersal ranges and other factors such as differences in distributed gravel size might have been also influential.

Fig. 10
figure 10

Density plot showing the number of Senekio keniodendron (1) and Lobelia telekii (2) in relation to solar radiation levels. The curves represent plots of (i) the probability density function of Senekio keniodendron and Lobelia telekii, and (ii) the probability density function of 2000 random points generated by GIS software

Figure 11 is a box plot showing the relationship between the status of each individual (dead/alive/newly recruited) and solar radiation. Dead individuals tended to occur in areas with reduced solar radiation. On the other hand, the new recruits occurred primarily in areas with strong solar radiation. Hence, solar radiation was closely related to the status of each individual. Dead individuals were found mostly at high elevations, where the slope was steep and the amount of solar radiation was limited. The new recruits occurred mostly at low elevation, where radiation was high and slope was gentle. A multi-year investigation of seedling dynamics showed that giant rosette species present in the research site have expanded their distribution in areas with favorable environmental conditions.

Fig. 11
figure 11

Box plot showing the relationship between the status of each plant individual (dead/alive/newly recruited) and solar radiation

5 Conclusion

I studied the growth dynamics and distributions of SK and LT over two years using data collected during field surveys conducted in August 2016 and August 2018. The number of SK and LT did not change markedly over the two years. Growth processes differed between the species. The floral inflorescences of LT increased in length when the height of the rosette leaves was >20 cm. The species also had similar habitat preferences; i.e., they tended to occur at low elevations on terrains that were exposed for 60 years after deglaciation.

The preferential occurrence of individuals at low elevation was related to the amount of solar radiation. Similarly, the status of plant individuals (dead, alive, newly recruited) was related to the amount of solar radiation. Young (1984) indicated that increased solar irradiation increases floral development rates in LT; however, this research focused only on slope aspect. The present work demonstrated a quantitative relationship between plant status and solar radiation and showed that the species’ distributions were affected by factors other than soil moisture (Young 1994) and gravel size (Mizuno 2005b).

Nevertheless, apart from light, plant status and distribution were found to be related to the following environmental factors: soil moisture, ground temperature, and snow melt. The influence of these additional factors warrants further study.