Research Article |
Corresponding author: Petr Pyšek ( pysek@ibot.cas.cz ) Academic editor: Franz Essl
© 2024 Petr Pyšek, Jan Čuda, Llewellyn C. Foxcroft, Klára Pyšková, Martin Hejda.
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:
Pyšek P, Čuda J, Foxcroft LC, Pyšková K, Hejda M (2024) Even the losers: five-year distribution dynamics of alien plant species in South African savanna. NeoBiota 96: 279-297. https://doi.org/10.3897/neobiota.96.131634
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We studied the short-term dynamics of the occurrence of alien plant species in a South African savanna. Within the MOSAIK (Monitoring Savanna Biodiversity in the Kruger National Park) project, plant species were recorded in a representative set of 60 plots, 50 m × 50 m in size, across the entire KNP in 2019–2020, distributed to cover a range of savanna habitats, i.e. perennial rivers, seasonal rivers and dry crests. The sampling focusing on alien plants was carried out in the same plots in 2024 and the changes in distribution patterns that occurred over the 4–5 years since the first sampling were assessed. In the first sampling period, 23 alien species were recorded and, in the second sampling, 20 were recorded; this gives a total of 25 alien species over the whole period of 2019–2024. In the recent survey, Alternanthera pungens, Conyza bonariensis, Gomphrena celosioides, Bidens biternata and Achyranthes aspera were most widespread, present in at least 10 plots. Using log-linear models, we showed that the total number of alien species records in plots did not significantly differ between the two sampling periods, indicating the absence of trends in species richness for the alien flora of KNP. There was a highly significant effect of habitat, with sites at perennial rivers harbouring more alien species than those at seasonal rivers and on crests. We also found a marginally significant interaction of habitat and sampling period, reflecting that the dry crests currently harbour fewer aliens than in 2019–2020. The frequency of some of the most invasive KNP species, such as Parthenium hysterophorus, Xanthium strumarium and Opuntia stricta, remained basically the same. However, Conyza bonariensis is an alien species that was quite rare in studied plots in 2019–2024, but its presence dramatically increased and it became widespread and locally abundant beyond the surveyed plots in some parts of KNP. Although not too successful until a few years ago, this species represents a future plant invasion threat in KNP.
Africa, dry savanna, longitudinal data, non-native species, plant invasions, riverine habitats
Plant invasions are amongst the most significant threats to global biodiversity and protected areas are no exception (
Although studies reported from several parts of the world that some protected areas act as a barrier against the spread of alien plant species (
Most data on the occurrence of alien and invasive plants recorded in the field are collected in a particular place only once. Yet, longitudinal field data proved most helpful in providing information on invasion dynamics. If such data, based on permanent plots and repeated sampling, exist, they are primarily used to determine the spread of the populations of invasive species (
In the Kruger National Park, South Africa, a significant threat from alien plant invasions to the savanna ecosystem is associated with rivers that act as the most efficient pathways for propagules from adjacent areas (
In other systems, alien invaders that were confined to riverbanks and riparian areas for a long time have started to spread to surrounding environments, such as Impatiens glandulifera in central Europe (
Here, we explore the fine-scale dynamics of alien species occurrences over 4–5 years in the South African savanna, based on repeated sampling of the same plots. This research has been motivated by the fact that it is unknown: (i) how great the fluctuation in their presence is across various habitats, i.e. how much their contribution to overall plant species richness is changing over time, (ii) what is the effect of habitat (i.e. by perennial rivers, seasonal rivers and on dry crest) on these dynamics and on alien species persistence and (iii) how stable are the populations of individual species. At the time of the first sampling (2019–2020), the covers of alien species in plant communities were generally low (
Kruger National Park (KNP), established in 1898, is the largest game reserve in South Africa and one of the oldest national parks in the world (
A The Kruger National Park with the location of the 60 sampled sites, separated according to habitat and distributed across the four land systems. The colour of the symbols refers to the habitat and its size indicates the change in the number of alien species recorded in a plot between the first (2019–2020) and second (2024) sampling B distribution of the two alien species that exhibited the most pronounced spread during the study period.
A recent update of the alien flora of KNP focused on species that occur in natural areas in KNP (i.e. beyond tourist camps and other infrastructure) and, thus, represent a potential threat to the diversity of native species. This work identified 146 alien plant taxa, of which 30 are casuals, 58 are naturalised, 21 have become invasive (in the sense of
The data were collected for the MOSAIK project (Monitoring Savanna Biodiversity in the Kruger National Park), whose primary objective was to sample plant and animal biodiversity in habitats across KNP (
During two rainy seasons, 16 January to 4 February 2019 and 17 January to 3 February 2020 (further termed ‘first sampling’; see
On 9–21 March 2024 (further termed ‘second sampling’), the same plots were surveyed with a focus on all alien species, not only those recorded in 2019–2020, but also those that arrived since the first sampling. Given the sampling dates in the first period, 33 plots were surveyed after five years and the remaining 27 after four years (see
The differences in the numbers of aliens (frequencies of occurrences in the sampled plots) were tested by generalised mixed-effect models (GLMM), with the triplet identity set as a random effect and the three plots within a triplet considered as pseudoreplicates: m1 <- glmer(number of alien species ~ sampling time*habitat type +(1|triplet), family=poisson). We also ran a GLMM model that included “land systems” and “triplets” (nested in land systems) as random effects: glmer(number of species ~ sampling time*habitat +(1|landsytem)+(1|triplet),family=poisson). This model provided results very similar to the GLMM with only “triplets”, which yielded lower AIC, indicating better parsimony (424.5 compared to 425.9 of the model that included land systems). Therefore, we only present the results of the GLMM model with triplets. The GLMM models were created using the package “lme4” of the R statistical software (
The numbers of persisting, newly emerging and disappearing species (in comparison with the first sampling) in individual habitats (perennial rivers, seasonal rivers, crests) were tested using log-linear models of the R software. Similar to the GLMM models with the number of alien plant species as a response variable, the species persistence category (persisting, newly emerging, disappearing) and habitat were predictors. The significance of individual terms was tested by likelihood ratio tests and the differences between the levels of factor predictor (persistence category: persisting species, newly-emerging species, disappearing species; habitat type: perennial rivers, seasonal rivers, crests) were tested by Tukey post-hoc comparisons using the package “emmeans”. The differences in the frequencies of occurrences of individual species between the two samplings were tested using chi-square tests, by comparing the total numbers of plots, in which the species was recorded in 2019–2020 versus in 2024, with the aim to find out which alien species decreased or increased their total frequency of occurrence, regardless of the three different habitats.
A direct gradient analysis (CCA) was used to test the overall differences in plant species composition between the first and second sampling. A split-plot sampling scheme was used to reflect the hierarchical arrangement of plots in triplets. The triplets were set as whole-plots and the plots within the triplets were the split-plots. Both whole-plots and split-plots were permuted freely, with 499 permutations.
In the first sampling period, 23 alien species were recorded and, in the second sampling, there were 20. In total, 25 alien species were recorded over the five-year study period. Some species data presented here differ slightly from those shown in the previous paper (
The occurrence of alien species in the Kruger National Park, recorded over two time periods. Species presented in bold significantly differed in their frequency in 60 plots between the two periods and the statistics of the difference are shown. Species marked with an asterisk are not listed in Pyšek et al. (2020) (although they were recorded in 2019–2020), because of reconsideration of their status or re-determination of the botanical material (see text for details). Life history: a – annual herb, p – perennial herb, ss – subshrub, s – shrub. The last column indicates the number of plots in which the taxon persisted (P), newly emerged (E) and from which it disappeared (D) between the first and second sampling. Status in the recent catalogue of alien plants in KNP (
Taxon | St | Family | Life history | Origin | 2019–2020 | 2024 | χ2 | p-value | P-E-D |
---|---|---|---|---|---|---|---|---|---|
Acanthospermum hispidum | n | Asteraceae | a | tropical America | 5 | 9 | – | – | 4-5-1 |
Achyranthes aspera | n | Amaranthaceae | p | Mediterranean | 2 | 10 | 6.23 | 0.013 | 0-10-2 |
Alternanthera pungens | n | Amaranthaceae | p | tropical America | 8 | 13 | – | – | 6-7-2 |
Amaranthus standleyanus* | – | Amaranthaceae | a | S America | 1 | 0 | – | – | 0-0-1 |
Argemone ochroleuca | n | Papaveraceae | a | N America | 1 | 0 | – | – | 0-0-1 |
Bidens bipinnata | n | Asteraceae | a | Asia, N America | 6 | 9 | – | – | 1-8-5 |
Bidens biternata | n | Asteraceae | a | E Asia (Himalayas) | 10 | 10 | – | – | 3-7-7 |
Boerhavia diffusa* | u | Nyctaginaceae | a, p | tropics and subtropics | 8 | 7 | – | – | 2-5-6 |
Chenopodium album agg. | – | Amaranthaceae | a | Eurasia | 1 | 0 | – | – | 0-0-1 |
Conyza bonariensis * | n | Asteraceae | a | C and S America | 2 | 11 | 6.23 | 0.013 | 0-11-2 |
Datura inoxia | i | Solanaceae | a, p, ss | N America | 1 | 0 | – | – | 0-0-1 |
Gomphrena celosioides | n | Amaranthaceae | a, p | S tropical America | 7 | 11 | – | – | 4-7-3 |
Malvastrum coromandelianum | n | Malvaceae | a, p, ss | tropical to subtropical America | 10 | 9 | – | – | 4-5-6 |
Mollugo nudicaulis * | – | Molluginaceae | a | unclear | 14 | 3 | 8.90 | 0.003 | 1-2-13 |
Opuntia ficus-indica | n | Cactaceae | p | C America | 0 | 2 | – | – | 0-2-0 |
Opuntia stricta | i | Cactaceae | p | N America | 3 | 3 | – | – | 1-2-2 |
Parthenium hysterophorus | i | Asteraceae | a | N America | 8 | 7 | – | – | 3-4-5 |
Portulaca oleracea | n | Portulacaceae | a | Eurasia | 4 | 1 | – | – | 1-0-3 |
Senna septentrionalis | n | Fabaceae | s | C America | 0 | 3 | 3.00 | 0.083 | 3-0-0 |
Schkuhria pinnata* | u | Asteraceae | a | S America | 9 | 7 | – | – | 4-3-5 |
Sesbania bispinosa* | n | Fabaceae | a | tropical Asia and Africa | 1 | 1 | – | – | 0-1-1 |
Tridax procumbens | n | Asteraceae | a, p | C America | 11 | 2 | 6.23 | 0.013 | 0-2-11 |
Verbesina encelioides | n | Asteraceae | a | S America | 1 | 0 | – | – | 0-0-1 |
Xanthium strumarium | i | Asteraceae | a | N America | 3 | 3 | – | – | 0-3-3 |
Zinnia peruviana | i | Asteraceae | a | America | 2 | 1 | – | – | 1-0-1 |
Number of species | 23 | 20 | |||||||
Sum of occurrences | |||||||||
Total | 118 | 122 | |||||||
Perennial rivers | 70 | 84 | |||||||
Seasonal rivers | 25 | 26 | |||||||
Crests | 23 | 12 |
The frequencies of alien species, expressed as the total number of species-plot records were 118 in 2019–2020 and 122 in 2024 (Table
The distribution of species amongst the persistence categories (persisting, newly emerging, disappearing) differed (χ2 = 27.467, DF = 2, p < 0.001; Table
Persistence of alien species in particular habitats between first (2019–2020) and second (2024) sampling. The numbers are species-plot records of all aliens in each category.
Persistence category | Perennial | Seasonal | Crest | Total |
---|---|---|---|---|
Persisting | 29 | 4 | 2 | 35 |
Newly emerging | 55 | 22 | 10 | 87 |
Disappearing | 41 | 21 | 21 | 83 |
The persistence, emergence and disappearance of individual species are presented in Table
Of the 26 species recorded in both periods, only six (23.1%) have significantly changed their frequency (Table
Changes in frequencies of species between the first (2019–2020) and second (2024) sampling at perennial rivers, seasonal rivers and crests (for each habitat n = 20). Only species whose frequencies changed significantly over the five years of study are shown (see Table
The direct gradient analysis (CCA) with binary data on the presence/absence of individual alien species as responses revealed significant compositional differences between the first sampling and second sampling (p = 0.004) because, as described above, some aliens considerably increased their frequencies, while others declined (Suppl. material
Although we found differences in species composition of the alien flora in KNP as recorded in 2019–2020 vs. 2024, the total number of alien plant species has not changed over the 4–5-year period of the study. There was a decrease in the total number of aliens recorded across all plots, from 23 to 20, but this difference was not significant. However, individual alien species tend to fluctuate, as revealed by the low persistence of some species, along with the numbers of those newly emerging or disappearing. These data illustrate that low persistence in sites once colonised is not a constraint to successful invasion at the scale of the whole Park. Moreover, it needs to be emphasized that some globally noxious invaders continue to persist in KNP, such as Parthenium hysterophorus (
Concerning individual species, Achyranthes aspera, Conyza bonariensis and Senna septentrionalis increased their frequency most remarkably; A. aspera invaded near perennial and seasonal rivers, C. bonariensis mainly near perennial rivers and on crests and Senna septentrionalis invaded near perennial rivers. The opposite trend, i.e. being markedly less frequent during recent sampling, was found for Tridax procumbens, especially near perennial rivers and on crests.
Determining native or invasive status and distinguishing morphologically similar plant species is a challenge for field-based research like that presented here. An example of the former would be Achyranthes aspera, which is considered native to many parts of northern, western and eastern Africa, but it is very likely alien to South Africa (
Comparison with the most recent catalogue of alien plants in KNP (
The distribution of alien species in the three habitats studied, i.e. perennial rivers, seasonal rivers and crests, reveals a similar pattern as in 2019–2020, with perennial rivers showing higher numbers of aliens compared to either seasonal rivers or crests (
A similar result documenting the lower capacity of dry sites to harbour alien species (
It is rather speculative to explain these trends, based on the relatively short time between the two samplings. One factor that may play a role is the warming climate that is generally unsuitable for plant invasion in arid areas (
Despite relatively stable invasion-related characteristics of the whole flora across the habitats studied, the rapid spread observed for some species, namely Conyza bonariensis (Asteraceae), indicates that future invaders may suddenly recruit from relatively small and inconspicuous populations that were persisting in the landscape for a long time. Conyza bonariensis was first recorded in KNP in 1952 (
Conyza bonariensis is an alien species that was quite rare in studied plots in 2019–2024, but its presence increased more than five times (2 vs. 11 records) and it has become widespread and locally abundant beyond the surveyed plots in some parts of KNP. The upper image shows a stand near the N’waswitsontso River, the bottom image a detail of the inflorescence.
In general terms, extreme environments, such as arid ones, may harbour relatively few invasive species, but these are often strong invaders (e.g.
Achyranthes aspera (Amaranthaceae) is not as widespread and dominant beyond the surveyed plots as C. bonariensis, but it is not restricted to a specific part of KNP (Fig.
Longitudinal field data from permanent plots are the best way to precisely record changes in the performance and distribution of alien species, for which rapid dynamics are typical. The relatively short period assessed in the current paper indicates that changes in the performance of individual alien and invasive species may occur relatively quickly. To determine the consistency of observed trends and whether the increases or decreases of some species are just fluctuations over time, it is advisable to collect such data over a more extended observation period. More generally, alien species are linked to biodiversity change, but the extent to which they are associated with the reshaping of ecological communities is not well understood; repeated sampling of plots where alien plants were recorded in the past, such as the BioTime database (
Our paper shows that even small populations of alien species that fluctuate in their abundance and shift their distribution across savanna habitats may exhibit considerable dynamics over a short period of time and present threat to savanna biodiversity. These results can provide justification for managers in protected areas to argue for funding to repeatedly survey alien species, their distributions and impacts.
LCF thanks SANParks and acknowledges support from the Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University. Thanks to Adolf Manganyi, Samantha Mabuza and Khensani Nkuna for logistic support and to our guards Obert Mathebula, Thomas Rikombe, Desmond Mabaso, Herman Ntimane, Annoit Mashele, Isaac Sedibe, Priska Rikombe and Velly Ndlovu for keeping us safe in the field.
The authors have declared that no competing interests exist.
No ethical statement was reported.
This work was supported by grant no. 22-23532S (Czech Science Foundation) and long-term research development project RVO 67985939 (Czech Academy of Sciences).
PP initiated the idea, MH, JČ and PP collected the data, MH analysed the data, PP and MH wrote the first draft of the manuscript, JČ, KP and MH prepared the figures, all authors discussed the results, contributed to editing and writing.
Petr Pyšek https://orcid.org/0000-0001-8500-442X
Jan Čuda https://orcid.org/0000-0002-2370-2051
Llewellyn C. Foxcroft https://orcid.org/0000-0002-7071-6739
Martin Hejda https://orcid.org/0000-0002-0045-1974
All of the data that support the findings of this study are available in the main text or Supplementary Information.
Number of records of species whose frequency has significantly changed between the first and second sampling, shown separately for particular habitats
Data type: docx
Direct ordination (CCA) plot showing the overall differences in the distribution of aliens between the first sampling in 2019–2020 and resampling in 2024 (p = 0.002)
Data type: docx
Explanation note: The plot shows that some aliens, like Amaranthus standleyanus, were more frequent in 2019–2020, while others, like Conyza bonariensis, were more frequent in 2024. AcanHisp = Acanthospermum hispidum, AchrAspr = Achyranthes aspera, AltPung = Althernanthera pungens, AmarStan = Amaranthus standleyanus, ArgmOchr = Argemone ochroleuca, BidnBipn = Bidens bipinnata, BidnBitr = B. biternata, BoerDiff = Boerhavia diffusa, ConzBonr = Conyza bonariensis, DatrInox = Datura inoxia, GompCels = Gomphrena celosioides, ChnAlbAg = Chenopodium album agg., MalvCorm = Malvastrum coromandelianum, MollNud = Mollugo nudicaulis, OpunFics = Opuntia ficus-indica, OpunStrc = Opuntia stricta, PartHyst = Parthenium hysterophorus, PortOler = Portulacca oleracea, SchkPinn = Schkuhria pinnata, SennSept = Senna septentrionalis, SesbBisp = Sesbania bispinosa, TridProc = Tridax procumbens, XantStrm = Xanthium strumarium, VerbEnce = Verbesina encelioides, ZinnPerv = Zinnia peruviana.