Research Article |
Corresponding author: Adam Bernich ( adam.bernich@environment.nsw.gov.au ) Academic editor: Brad Murray
© 2024 Adam Bernich, Kris French, Michael Bedward.
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:
Bernich A, French K, Bedward M (2024) Assessing the invasion potential of five common exotic vine species in temperate Australian rainforests. NeoBiota 90: 79-96. https://doi.org/10.3897/neobiota.90.110659
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To compare the capacity of native and exotic vine species established under a rainforest canopy, a comparison of growth rates and resource allocation was made amongst five exotic vine species that are serious and common invaders and two common native vine species under two light conditions reflective of edge and interior canopy conditions. All species experienced heavy reductions in growth parameters in the low-light treatment, but three exotic species showed stronger growth under the low light. All exotic species had higher plasticity in leaf morphology showing a significant increase in SLA under low light. Native vines may have a lower capacity to change leaf morphology in shade, as a result of local adaptation to edge habitats. Higher SLA under both low and high light conditions suggests that exotic vines species are able to exploit a range of forest conditions better than the native species. Three species, Anredera cordifolia, Araujia sericifera and Cardiospermum grandiflorum, appear particularly capable of invading rainforest interiors. Individuals produced few leaves, focusing resources on roots and stems suggesting a response to reach the canopy quickly. With their long-distance seed dispersal, plasticity in leaf SLA and high RGR, these species appear most likely to invade undisturbed rainforest.
Anredera cordifolia, Araujia sericifera, Cardiospermum grandiflorum, Cissus antarctica, Delairea odorata, Ipomoea cairica, low light, Pandorea pandorana, SLA
In forests, vines can cause structural damage to the canopy, reduce light availability and increase competition for underground resources, which results in reduced growth and survival of host and neighbouring trees (
In a meta-analysis of 117 studies,
Increased investment in growth can be allocated to roots, stems or leaves. Higher investment into stem elongation can be particularly beneficial as it allows the vine to reach higher into the canopy quickly and, thus, gain more light for photosynthesis (
While vine invasion is particularly problematic at the light-filled edges of rainforest patches, the ability to grow and establish in the forest interior would be an invasive characteristic that increases the risk and impacts of that species in closed forests. The plasticity to change growth parameters in low-light situations is, thus, an important part of identifying exotic invasive species that pose the greatest risk. Some invasive vine species are considered more problematic in forests than others due to apparent high growth rates or high propagule pressure. In Australia, there are at least 179 species of exotic vines (
In order to help evaluate the invasiveness of key exotic invasive vine species, we assessed growth rates of five common invasive exotic vine species in eastern Australia and two common native species on host trees in a shade house with two shade treatments. We measured relative growth rates (RGR), stem lengths, proportion of biomass allocated to leaves, stems and roots and specific leaf area. We predicted that individuals of each species grown in less shade will have higher RGR and longer stem lengths, though lower SLA. We predicted that invasive species will also have higher RGR and stem lengths and higher SLA indicating higher photosynthetic efficiency, which then leads to relatively less investment in leaves and more relative investment into stems and roots compared to native species. We also predicted that differences in trait values would occur amongst species and show that some species are able to exploit establishment opportunities under the rainforest canopy. One of the native species, Cissus antarctica, is especially abundant at the edge of disturbed rainforests in eastern Australia where it can dominate and smother canopy causing significant harm to native host species. There is concern that such dominance may cause forest interiors to become degraded.
We grew seven vine species, five exotic invasive species (Anredera cordifolia, Araujia sericifera, Cardiospermum grandiflorum, Delairea odorata and Ipomoea cairica) and two native species (Cissus antarctica and Pandorea pandorana). All species are commonly found in rainforests, wet sclerophyll forests and disturbed sites on the east coast of Australia. Anredera cordifolia (family Basellaceae) is a semi-succulent twiner from South America, that is listed as a Weed of National Significance in Australia. It was introduced in the early 1900s (
Vine species were all collected from forests near Wollongong, with some species being grown as ~ 30 cm cuttings (D. odorata, I. cairica, P. pandorana and C. antarctica), from seeds (C. grandiflorum), tubers (A. cordifolia) or harvested seedlings (A. sericifera) which had the first two true leaves, around 5–15 cm in height. We attempted to grow both C. grandiflorum and A. sericifera as cuttings, though no C. grandiflorum cuttings were successful and there was only a 10% success rate for A. sericifera. Propagules for all species were collected in September 2021 and were grown until sufficient individuals were established to be used in the experiment. All propagules were collected along forest edges (i.e. tracks or clearings) which were more representative of the medium light treatment (see below). As establishment times varied amongst species, the date that species were potted and placed next to a host tree occurred over two months at the beginning of the Austral Summer (late October – mid December).
All vine individuals were grown on Acmena smithii (cultivar ‘Speedy Screener’, family Myrtaceae) host trees that were potted in 300 mm pots. The host trees ranged in height from 1 m to 1.8 m tall. Acmena smithii is a common tree in eastern Australia that grows in rainforests and wet sclerophyll forests.
All vines and host trees were grown in a shade house at the University of Wollongong, NSW 34.4054°S, 150.8784°E. The shade house had two sections, one with low light penetration to mimic the understorey under a rainforest canopy and one with medium light to mimic a gap in a rainforest or rainforest edge. The roof of the low light section was covered in two layers of shade cloth, which allowed 2% of light to reach the floor (similar to 85–95% canopy cover), whereas the medium light section had one layer of medium shade cloth, which allowed 30% of light to reach the floor (similar to 50–60% canopy cover).
Six individuals of each species were randomly selected for the medium light and low light treatments and were transplanted into 300 mm pots filled with commercial potting mix (Osmocote Premium) and given 25 g of slow-release fertiliser (PowerFeed 500 g All Purpose Controlled Release). They were then placed adjacent (on the southern side) to an A. smithii individual in their allocated shaded areas. Two to four extra individuals were harvested and dried in an oven at 65 °C for five days to measure dry biomass of roots, stems and leaves at the start of the experiment (the difference in number of individuals for each species was due to the death of some individuals before they could be dried out). Vines and trees were watered by an automatic dripper system attached to a tap timer, with each plant having a dripper spike in the soil of the pot. Plants were drip-watered for 10 minutes at 6 am and 6 pm every day.
The experiment for each species began when plants were placed next to the host plant. Initial plant sizes are shown in Suppl. material
where DWf is the total dry weight at the end of the experiment for an individual and DWi is the average dry weights of the plants sacrificed at the beginning of the experiment for the species being tested.
The dry weights of each plant part (roots, stems and leaves) were divided by the total dry weight to give percentages of biomass allocation; these parameters are referred to as root mass fraction (RMF), stem mass fraction (SMF) and leaf mass fraction (LMF). For A. cordifolia, aerial tuber weight was added to RMF as a measure of investment into energy storage; however, the proportion of biomass invested into aerial tubers by A. cordifolia was also recorded separately. Traits were only measured on individuals that did not die in the experimental period.
We used a Bayesian modelling approach to estimate the distribution of values for each of the measured plant variables for each combination of species and shade treatment. The fitted distributions were then used to estimate the magnitude and direction of differences in response between species within each treatment and between treatments for each species. Stem height and SLA values, which could only be positive, were modelled as gamma-distributed variables with the shape parameter of the distribution being allowed to vary between shade treatments. RGR values were modelled as being drawn from a Student-t distribution since values could be negative and some outliers were evident in the observed data. The shape (degrees of freedom) parameter of the distribution was treated as an unknown quantity to be estimated by the model, while the scale parameter (standard deviation) was allowed to vary between treatments. The proportion of biomass allocated to each of leaf, stem and root fractions was modelled using Dirichlet regression.
Models were fitted by Hamiltonian Monte Carlo sampling via the “brms” package version 2.18 (
For each model, we ran four Markov chains with 5000 iterations and 1000 warm-up iterations. Model convergence was assessed using the Gelman-Rubin statistic, which showed convergence for all models and by checking for an adequate number of effectively independent samples to ensure reliable estimates of the tails of the fitted distributions. In addition, we graphed posterior model predictions together with observed data values for each measured variable to check for any disagreement that might indicate a problem with model structure or convergence.
For all models other than stem growth rate, the distribution of differences in response between each pair of species within each shade treatment was estimated by subtracting posterior predictions of mean response for one species from those for the other species. For the stem growth rate model, difference calculations were based on posterior predictions of median rather than mean response as some observed values were close to zero, which resulted in a strongly right-tailed posterior distribution for which the median is a more representative summary statistic.
At the end of the six months, two A. sericifera individuals had died in the medium light treatment. In the low light treatment 10 deaths occurred: three I. cairica individuals, two D. odorata, three A. sericifera, one C. antarctica and one P. pandorana.
For all species, mean RGR was consistently higher when grown under medium light compared to low light, with no overlap in the 95% range of predicted mean RGR values (Fig.
The predicted mean trait values and the 95% bounds on the mean predicted values from each model (smaller font). RGR = relative growth rate (g g-1 day-1), stem growth = increase in stem length per day (cm/day), LMF = leaf mass fraction (%), RMF = root mass fraction (%), SMF = stem mass fraction (%), SLA = specific leaf area (cm2/g), (E) denotes exotic species, (N) denotes native species. * note that RMF for Anredera cordifolia includes the weight of aerial tubers.
Species | Light treatment | Predicted mean trait values | |||||
---|---|---|---|---|---|---|---|
RGR | Stem growth | LMF | RMF | SMF | SLA | ||
Anredera cordifolia (E) | Medium | 0.0274 0.0248–0.0302 | 1.55 1.29–2.31 | 16.5% 14.9–22.5 | 65.8% 44.3–56 | 17.7% 26.3–36.2 | 323.0 272.7–379.4 |
Low | 0.0084 0.0037–0.0129 | 0.47 0.42–0.97 | 32.9% 22.9–39.5 | 42.5% 32.8–51.2 | 24.7% 19.8–35.7 | 988.1 814.2–1205.3 | |
Araujia sericifera (E) | Medium | 0.0353 0.0313–0.0387 | 1.14 0.82–2.05 | 18.8% 13.3–23.7 | 37.0% 30.8–44.1 | 44.3% 37.6–51.4 | 255.0 209.83–302.27 |
Low | 0.0141 0.0085–0.0208 | 0.24 0.14–0.81 | 11.3% 6.4–21.1 | 52.7% 36.6–67.4 | 36.0% 20.8–50.1 | 625.8 463.8–824.1 | |
Cardiospermum grandiflorum (E) | Medium | 0.0257 0.0227–0.0290 | 1.62 1.25–2.71 | 24.4% 19.7–29.3 | 24.1% 19.4–29.1 | 51.5% 45.7–57.2 | 329.5 281.2–383.9 |
Low | 0.0088 0.0056–0.0121 | 0.48 0.36–1.24 | 42.2% 31.3–52.3 | 12.6% 7.3–20.5 | 45.2% 34.2–55.7 | 745.7 643.9–864.0 | |
Delairea odorata (E) | Medium | 0.0229 0.0193–0.0258 | 1.92 1.46–3.20 | 15.3% 11.6–19.4 | 12.5% 9.2–16.6 | 72.3% 66.7–76.9 | 570.4 480.4–663.3 |
Low | 0.0017 -0.0024–0.0059 | 0.62 0.43–1.75 | 25.6% 15.6–36.7 | 12.1% 5.9–21.3 | 62.3% 48.7–73.8 | 1607.5 1279.6–2013.8 | |
Ipomoea cairica (E) | Medium | 0.0289 0.0256–0.0320 | 2.62 2.02–4.25 | 11.9% 9.1–16.1 | 45.7% 39.6–51.0 | 42.5% 36.5–48.0 | 379.3 321.5–443.6 |
Low | 0.0071 0.0013–0.0153 | 0.74 0.48–2.24 | 29.6% 16.4–41.8 | 33.5% 21.4–49.7 | 36.9% 22.7–51.3 | 1219.6 957.4–1540.2 | |
Cissus antarctica (N) | Medium | 0.0158 0.0127–0.0186 | 0.80 0.61–1.32 | 45.6% 38.5–50.3 | 13.4% 10.5–18.2 | 41.0% 36.0–47.1 | 189.8 161.6–219.9 |
Low | -0.0013 -0.0046–0.0023 | 0.11 0.07–0.36 | 45.2% 34.8–57.8 | 25.3% 15.0–35.5 | 29.6% 19.0–40.0 | 362.7 285.2–462.7 | |
Pandorea pandorana (N) | Medium | 0.0134 0.0100–0.0174 | 0.91 0.69–1.54 | 30.8% 25.2–35.6 | 24.6% 20.2–30.0 | 44.6% 38.9–50.5 | 281.7 242.1–327.8 |
Low | 0.0022 -0.0014–0.0059 | 0.20 0.14–0.58 | 42.3% 31.1–53.9 | 28.5% 18.5–39.6 | 29.2% 19.0–39.9 | 482.6 389.1–585.4 |
Mean relative growth rate (RGR) with 95% bounds on the mean predicted values from each model (black lines) and observed RGR value for individual plants (blue dots) for both light treatments. (E) are exotic vines, (N) are native vines.
All the exotic invasive species grown in the medium light treatment had higher predicted mean RGR values than the two native species (Fig.
Similar to RGR, the predicted median stem length grown per day for all species in the medium light treatment was greater than the low light treatment, with no overlap in the 95% bounds on the predicted median values from the model (Fig.
Median (blue lines) and mean (red line) stem growth rate with 95% bounds on the mean predicted values from each model, for both light treatments. Blue dots show the observed value for individual plants. (E) are exotic vines, (N) are native vines.
In the low light treatment, I. cairica and D. odorata had the highest predicted median stem growth per day with high variability amongst individuals. Other species had closer predicted median values. The gap between exotic invasive and native species in the low light treatment was actually higher than the medium light treatment (Fig.
The percentage of biomass invested into leaves, stems and roots differed amongst species and light treatments (Fig.
Mean proportion with 95% bounds (black lines) on the mean predicted values from each model, of biomass invested into leaves, roots and stems for all species in both light treatments. Blue dots are observed proportions for individual plants.
Biomass allocation for all species in the low light treatment was more varied, seen by wider 95% bounds on the predicted mean values (Fig.
The 95% bounds on the mean predicted range for SLA was substantially higher in the low light treatment than the medium light for all species (Fig.
Observed specific leaf area (SLA) with 95% bounds (black line) on the mean predicted values from each model for all species in both light treatments. Blue dots are observed values for individual plants. (E) are exotic vines, (N) are native vines.
In general, exotic invasive species had higher SLA than native species, except for A. sericifera in the medium light which had a considerable overlap in the 95% bounds on predicted mean values with P. pandorana, though only a slight overlap in the low light treatment. Delairea odorata and I. cairica had the two highest predicted mean SLA in both treatments (Fig.
All species grew at faster rates under the higher light conditions that are reflective of rainforest edges, suggesting that quick invasion was most likely from disturbed edges or light gaps for all species. Low light conditions slowed growth, but the reduction in growth varied amongst species reflecting a differential risk of invasion and establishment into the rainforest interior. The two common native species had very low growth rates in all light levels, but particularly in the low light. They also showed a limited capacity to vary SLA and improve light capture relative to the invasive species. This suggests they would most likely establish in edges and better lit areas. This is despite one of these species being considered problematic; Cissus antarctica can significantly smother vegetation along rainforest edges. Our results suggest that this issue will not occur under the canopy.
All exotic invasive species had higher relative growth rates than native species. Relative growth rate and high SLA are correlated with invasiveness (
Compared to self-supporting woody plants, the native vines in this study still sit on the “faster” side of the life history spectrum. For example, in a comparison of co-existing tropical trees and vines,
Coupled with the higher growth rates measured, all exotic invasive vine species showed flexibility in leaf SLA when grown in low light conditions. All had higher SLA values under low light and were higher than both native species in all light conditions. Interestingly, the means in low light were associated with a great deal of variability amongst individuals (large 95% confidence intervals). Invasive exotic species, therefore, show plasticity in their responses to low light conditions, increasing the size of their leaves relative to the leaf biomass to increase light capture capacity. As a result, in comparison to the native species, all exotic invasive species will be capable of better light harvesting under rainforest canopies, increasing photosynthesis and growth rates. Furthermore, increased SLA, even under medium light conditions, may also help them in forest gaps as they grow leaves better suited to the light environment they are in and, therefore, may be able to respond to canopy disturbances better (
We identified three growth strategies amongst the exotic invasive vines that we investigated, with regards to their risk to rainforest communities. These strategies may be a more general approach for other species, but further species would need to be considered to establish such strategies. Thus our descriptions of a strategy highlight some of the differences in growth responses of the exotic species we tested which may increase risk of invasion. The first strategy was associated with fast growth, exemplified by D. odorata and I. cairica which showed high SLAs and high mean stem growth rates under both canopy and edge conditions. Having fast stem growth rates and high stem biomass allocation is beneficial for vines as it allows individuals to compete with others through early access to canopy light (
A second, more long-term invasion strategy was evident in the three other exotic species. These three had the highest relative growth rates under low light conditions, providing opportunities for invasion even within undisturbed rainforest patches; Anredera cordifolia, Araujia sericifera and Cardiospermum grandiflorum. While some A. sericifera individuals may be particularly effective at growing under the canopy, we also recorded some mortality in low light conditions. Surviving individuals produced few leaves, focusing resources on roots and stems suggesting a response to reach the canopy as quickly as possible. High dispersal capability using large numbers of wind-blown seeds (
One other invasive species in this group of potential understorey invaders was Anredera cordifolia. This species was also able to have quite high RGRs under low light increasing its allocation to leaves and stems in this environment, compared to the location at the edges of rainforests. It also had much greater flexibility in changing leaf light capture under the canopy, compared to A. sericifera. At edges in ideal conditions, it can maximise growth rates through having amphistomatous leaves and high numbers of stomata (
Our work measured important growth parameters for a range of exotic vines and we were able to identify different strategies that influence how invasive exotic vine species may invade rainforests. While all species perform better in higher light conditions reflective of rainforest edges and gaps, the capacity to maintain higher levels of growth under rainforest canopies showed that some species may well establish and persist causing host tree damage within the rainforest. Coupled with vegetative growth strategies, we identified differences in the capacity of species to establish and persist under canopies. We suggest that maintaining canopy health and controlling edges, still remains the key tool for reducing vine invasion, although at least two species, Araujia sericifera and Anredera cordifolia have characteristics that suggest that directed control within rainforests is needed.
Difference in mean and 95% bounds, as well as the percentage overlap of mean values reported as a probabilty (Probability higher) between species for the physiological measurements taken
Data type: xlsx
Explanation note: Species are compared within light treatments only. Probabilty higher reflects the values of the Species 1 being higher than Species 2. Asterisks in Species 1 column denotes exotic species.
Difference in mean and 95% bounds, as well as the percentage overlap of mean values reported as a probabilty (Probability higher than LL) for the seven species grown in the study
Data type: xlsx
Explanation note: Asterisks denote exotic species.
The dry weight of the individuals used as the initial values to calculate relative growth rates for each species
Data type: xlsx