Research Article |
Corresponding author: Lena Y. Watermann ( lwatermann@ecology.uni-kiel.de ) Academic editor: Bruce Osborne
© 2022 Lena Y. Watermann, Jonas Rotert, Alexandra Erfmeier.
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:
Watermann LY, Rotert J, Erfmeier A (2022) Coming home: Back-introduced invasive genotypes might pose an underestimated risk in the species´ native range. NeoBiota 78: 159-183. https://doi.org/10.3897/neobiota.78.91394
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Biological invasions are considered a significant challenge both from an ecological and economical perspective. Compared to the native range, environmental conditions in the invasive range often favor more competitive genotypes. Little attention, however, has so far been paid to the possibility that these invasive and competitive genotypes might also be back-introduced into a species’ native range, where they could trigger a problematic increase in abundance or expansion. The frequency with which this occurs in the species´ native range might be an underestimated aspect in nature conservation. We transplanted native and invasive individuals of the biennial model species Jacobaea vulgaris into field sites of naturally occurring populations within the species’ native range. The aim was to test whether back-introduced invasive origins show decreased performance, e.g., because of the reunion with specialized herbivores or plant-soil-feedbacks or whether they have the potential to trigger problematic population dynamics in the species’ native range. We ran an additional greenhouse experiment to specifically address soil-borne effects in the species’ native habitats. We found that invasive individuals generally outperformed the native transplants if compared in the field sites. By contrast, there were no origin-dependent differences in the greenhouse experiment. Our findings clearly indicate that testing for origin effects exclusively under controlled conditions might underestimate the potential of invasive genotypes to trigger invasion processes in habitats of the species’ native range. Although differences in performance mediated by soil-borne effects were not associated with plant origin, field site susceptibility to J. vulgaris colonization varied largely. Identifying the exact factors driving these differences, offers another focal point to minimize the risk of a detrimental increase in the abundance or expansion of this highly invasive species in its home range.
cryptic invasions, enemy release, local adaptation, plant-soil-feedback (PSF), ragwort, re-introduction, transplant experiment
Invasive alien plant species pose a significant threat to biodiversity (
Given the increasing human mobility around the globe that allows plant species to overcome the first barrier in the invasion process (
In general, range expansions in any population, native or invasive, are associated with adaptations that facilitate high reproduction rates (
For example, species naturalized outside their native range often experience a release from natural enemies during the invasion process. Once exempt from the necessity to defend against specialist herbivores occurring in the plant species’ native range, resources can be used for other purposes (Enemy Release Hypothesis) (
Besides the often-addressed aboveground factors, such as herbivory, plant-soil-feedbacks (PSFs) have gained more and more attention and call for a belowground focus. In recent years, PSFs are of increasing interest as part of the environmental factors contributing to the success or failure of the invasive range expansion process. While the aforementioned effects of enemy release mostly refer to aboveground herbivores, invasive populations might similarly be freed from enemies in the soils (
Accordingly, both above- and belowground agents, such as aboveground herbivory and plant-soil feedbacks, should be considered jointly when trying to judge the success or failure of (exotic) populations. Yet, most studies usually have an either exclusively aboveground or belowground perspective. However, trophic interactions may affect all plant organizational components. Furthermore, common gardens are typically not established as in-site experiments within naturally occurring populations of a species under consideration. This is understandable for reasons of nature conservation. However, abstaining from this kind of test means disregarding the role of PSFs. They can be exerted by the species itself or by co-occurring species and should be addressed in the complex context of the whole set of environmental factors. Consequently, conducting controlled experiments in-site is the best way to adequately assess the risk of both classical biological invasions and cryptic invasions.
The biennial model species Jacobaea vulgaris Gaertn. (ragwort), native to Eurasia, is a successful invader on at least two continents and several studies have already provided evidence for genotypic differentiation between native and invasive plant origins. Invasive J. vulgaris individuals were shown to grow larger both in a greenhouse (
In the last two decades, J. vulgaris also exhibited a severe increase in abundance in Northern Germany as part of the species´ native range which made it a target species for management efforts in the species’ native range as well (
We carried out a transplant experiment in field sites of naturally occurring ragwort populations in the species’ native range. We aimed to test whether J. vulgaris individuals of invasive origins do, in fact, underperform in field sites in its native range. Alternatively, if they grow better than native plants, they thus have a potential to contribute to intraspecific cryptic invasions once back-introduced. To address how differences in observed performance might be related to environmental factors, we assessed soil abiotic information (soil moisture, CN and pH) just as biotic community information (J. vulgaris population density, species richness/α-diversity and vegetation height as proxy for productivity). We additionally considered relative light availability, and bare soil proportion within every plot. This set-up allowed us to test (I) whether invasive genotypes show maladaptation to the species’ native habitat. If maladaptation does not prove true, J. vulgaris would then be a potential candidate for problematic outcomes of back-introduction events. We also tested (II) what environmental factors might contribute to the observed patterns. Furthermore, in an additional greenhouse experiment using the same populations as in the field trial, we studied (III) the extent as to which, in particular, negative soil-mediated impacts display genetic divergence between origins, i.e., are more expressed in individuals originating from the invasive than from the native range.
Jacobaea vulgaris Gaertn. (Asteraceae, formerly Senecio jacobaea) is a predominantly biennial herbaceous plant species regularly observed with annual or perennial life-cycles (
Seed collection was carried out in the summer of 2018 in the Pacific Northwest (invasive range) and Central Europe (native range) at the same time. For species identification, we referred to “Rothmaler - Exkursionsflora von Deutschland” (
Six populations each by range of origin (invasive – native) were chosen according to seed quality and availability to be included in this experiment. In addition, we intentionally included populations varying in size and density in order to cover a broad range of variation within ranges. The sites in the native range served both as donor populations for seed sourcing and target sites for (re-)transplantation. For the selection of these six native populations, we thus additionally had to acquire permission from local authorities, landowners, and the tenant farmers for conducting a transplant experiment on their sites. All field sites for this experiment are owned by the Stiftung Naturschutz Schleswig-Holstein (for population information, s. Suppl. material
From each population, seeds from seven randomly selected seed families were sown in potting soil (TKS 2 pot Medium Coarse, Floragard Vertriebs-GmbH, Oldenburg, Germany) on germination trays in April of 2019. The seeds were covered by 1 cm of soil layer to prevent them from drying out. The germination trays were placed in a greenhouse cabinet with ambient temperature and a photoperiod of 12:12 (night/day) hours and watered daily in the following days. After four weeks, five seed families with the highest germination success within each population were chosen to be included in the experiment and seedlings were thinned to allow optimal growth. Once established, the germination trays were placed outside to allow acclimatization of the separated individuals to outdoor conditions.
The field experiment was designed to estimate performance of invasive individuals compared to native individuals in the species’ original native range. The location of the six native populations used for seed material sampling also served as transplantation sites. In each of these six sites, we established five experimental plots. Plot locations were assigned randomly within site with coordinates marking the southwest corner of each plot. Starting from this corner, an area of 0.9 m × 1.2 m was established, where transplants were arranged in 4 × 5 rows (all plants were 0.3 m apart) leading to a total of 20 planting positions. One individual from each of the six invasive populations and two individuals from each of the six native populations (and therefore also originating from the experimental sites (= at their population home)) were randomly assigned to the planting positions leaving out the southwest and northwest spots. Thus, a total of 18 individuals were planted per plot. Each two individuals from the six native populations were replicates from the same seed family. For each of those replicates, one individual was a priori randomly chosen for the present experiment while the second one was assigned to remain into the summer of 2020 as part of an additional experiment (s. Suppl. material
Planting was carried out starting June 15th 2019 (approx. 2 months after sowing). The vegetation in the plots was cut to approx. 0.3 m to reduce heterogeneity during early establishment of the experimental plants. Subsequently, experimental plants were brought out with the adhering potting soil and labelled for recognition. After planting, each experimental plot was watered with 10 l water right away and two additional times after one week to assure establishment and survival of the planted individuals.
Next to each of the five experimental plots, a 2 m × 2 m monitoring plot was established following the diagonal extension 5 m apart in a northeastern direction. The monitoring plots served for recording vegetation composition and structure, including information on overall vegetation height (as a measure for productivity), coverage using a modified Londo scale (
The monitoring of the field experiment ran from June 28th until September 28th. After 6 weeks and 14 weeks of experimental runtime, we determined specific leaf area (SLA) and leaf dry matter content (LDMC) of transplants. For this, the third fully developed leaf from the top was taken from each plant and stored in a moisturized plastic bag in a cooler box for transportation to the lab. Fresh leaves were scanned (Expression 11000XL, EPSON Deutschland GmbH, Meerbusch, Germany) and leaf area was determined using WinFolia (WinFolia Pro 2015, Regent Instruments Inc., Quebec, Canada). Leaf fresh weight was determined using a precision scale (Sartorius 1702MP8, Sartorius AG, Göttingen, Germany). All leaves were dried at 65 °C for 48 hours afterwards for subsequent dry weight determination. At the end of the experimental runtime, we determined the transplants’ expansion in two directions (to calculate rosette size), the number of healthy leaves, and length of the longest leaf. Herbivory was assessed as a binary trait and considered present when parts of the leaf were missing or by the appearance of characteristic “bullet-holes” caused by Longitarsus jacobaeae. For biomass determination, all invasive individuals and half of the native individuals were dug up (i.e. 12 individuals per plot). Dry weight was separately determined for aboveground and belowground biomass after drying in a drying oven at 65 °C for 48 hours. We additionally calculated the root:shoot ratio as a measure for resource distribution strategy.
The greenhouse experiment was set up analogous to the field experiment and ran from August 21st (approx. 4 months after sowing of seeds) to November 13th. To decouple the influence of soil biota effects from other environmental factors varying with the field sites, soil samples were taken from all six native field sites used in the field experiment. These soil samples served as an inoculum for soil-biota treatments to all native and invasive individuals. For this, soil material was sampled about 0.5 m south of the southwestern corner of each experimental plot. After careful sod removal, a volume of 1 l soil was taken per plot, sieved through a 2 mm mesh and collected in a sterilized bucket. Separate soil samples from all plots were pooled and merged by site and served as the site-specific donor substrate. Soil sampling equipment was sterilized between sites to avoid cross-contamination.
All 12 population origins incorporated in the field experiment were also used in the greenhouse with three seed families randomly chosen out of the five used in the field. For each seed family, each one individual was grown with soil addition from one of the six field sites or only using standard substrate (control). Standard substrate consisted of 60% fine sand provided by the Botanical Garden of Kiel University and 40% unfertilized potting soil (F.E. Typ Nullerde, HAWITA Gruppe GmbH, Vechta, Germany) constituting an environment especially low in nutrients. This led to a total of seven different treatments for each seed family, thus resulting in a total of 252 individuals in the greenhouse experiment. All individuals were transferred to 1.5 l planting pots filled with 1.26 l standard substrate supplemented either by 0.14 l of soil collected from one of the six field sites (9:1 standard substrate:field soil) or an additional 0.14 l standard substrate for the control group. The standard substrate was processed by an autoclave (Webeco Dampf-Sterilisator, Matachana Germany GmbH, Selmsdorf, Germany) to reduce already present soil biota to a minimum. Each pot additionally received 3 g slow-release fertilizer (2.14 g/l) (Basacote Plus 6M 16 + 8 + 12 (+ 2 + 5), Compo Expert GmbH, Münster, Germany) corresponding to low levels of nutrient availability as per the manufacturer’s specifications. Planting pots were put on saucers and distributed in the greenhouse. Their position on benches was randomized every week. Predatory mites and sticky traps were installed at the beginning of the experiment to reduce infestation risk with insects. After one month, an insecticide was used on all plants (Spruzit Schädlingsfrei, W. Neudorff GmbH KG, Emmerthal, Germany), and milk and neem oil were applied to all individuals to prevent the spread of mildew. Throughout the experiment all plants were watered with 75 ml of tap water every 1–3 days as needed. Excess water from the saucers was emptied after every watering.
After the experimental runtime, monitoring and biomass harvest were carried out analogous to the field experiment. SLA and LDMC were assessed after 4 weeks and 12 weeks, respectively.
Statistical analyses were performed with R (Version 4.1.1) (
Similarly, for the greenhouse experiment, we fitted a lmer with origin and provenance of the soil (site) as fixed effects. As a covariate we included either the respective response variables’ value at the beginning of the experiment or the initial number of leaves if no starting value was available (for biomass variables, SLA, LDMC). We added the random intercept for seed family nested in the population. For the number of leaves, we fitted a glmer with the poisson family. Differences between the treatments were examined using the Tukey post-hoc test in emmeans (Version 1.7.0) (
The datasets generated during and/or analyzed during the current study as well as the code used for analysis are available from the corresponding author upon reasonable request.
After 14 weeks of experimental runtime, individuals originating from the invasive range had developed larger rosettes (Table
Field experiment – performance traits. Results from the ANOVA for the linear-mixed effects and generalized-mixed effects model (Herbivory and Survival) in the field experiment for performance traits. Significant effects (p<0.05) are printed in bold.
Rosette Expansion [cm²] | Number of Leaves [count] | |||||||||||
NumDf | DenDF | F | P | NAT | INV | NumDf | DenDF | F | P | NAT | INV | |
Origin | 1 | 287.15 | 7.1117 | 0.008 | 147.09 ± 216.97 | 194.14 ± 251.87 | 1 | 9.602 | 4.6268 | 0.058 | 7.29 ± 5.82 | 8.63 ± 6.76 |
Week 1** | 1 | 297.41 | 5.1658 | 0.024 | 1 | 227.745 | 22.79 | <0.001 | ||||
C:N ratio | NA | NA | NA | NA | NA | NA | NA | NA | ||||
Max. vegetation height | NA | NA | NA | NA | NA | NA | NA | NA | ||||
Origin × C:N ratio | NA | NA | NA | NA | NA | NA | NA | NA | ||||
Origin × Max. vegetation height | NA | NA | NA | NA | NA | NA | NA | NA | ||||
Length of longest Leaf [cm] | Aboveground Biomass [g] | |||||||||||
NumDf | DenDF | F | P | NAT | INV | NumDf | DenDF | F | P | NAT | INV | |
Origin | 1 | 286.431 | 0.5499 | 0.458 | 12.07 ± 6.48 | 13.94 ± 8.23 | 1 | 290.39 | 7.6368 | 0.006 | 0.60 ± 1.95 | 1.01 ± 2.82 |
Week 1** | 1 | 298.693 | 10.7502 | 0.001 | 1 | 303.44 | 10.4424 | 0.001 | ||||
C:N ratio | 1 | 7.334 | 6.8443 | 0.033 | NA | NA | NA | NA | ||||
Max. vegetation height | 1 | 16.219 | 5.289 | 0.035 | NA | NA | NA | NA | ||||
Origin × C:N ratio | 1 | 285.911 | 0.0208 | 0.885 | NA | NA | NA | NA | ||||
Origin × Max. vegetation height | 1 | 286.344 | 0.3022 | 0.583 | NA | NA | NA | NA | ||||
Belowground Biomass [g] | Total Biomass [g] | |||||||||||
NumDf | DenDF | F | P | NAT | INV | NumDf | DenDF | F | P | NAT | INV | |
Origin | 1 | 281.277 | 0.2909 | 0.590 | 0.51 ± 0.57 | 0.53 ± 0.52 | 1 | 290.009 | 0.0228 | 0.880 | 1.11 ± 2.47 | 1.54 ± 3.31 |
Number of leaves | 1 | 315.251 | 26.8191 | <0.001 | 1 | 289.342 | 18.0332 | <0.001 | ||||
C:N ratio | 1 | 27.973 | 5.6967 | 0.024 | 1 | 29.04 | 4.3788 | 0.045 | ||||
Max. vegetation height | 1 | 29.692 | 4.8105 | 0.036 | 1 | 30.241 | 5.9063 | 0.021 | ||||
Origin × C:N ratio | 1 | 278.043 | 0.7901 | 0.374 | 1 | 278.227 | 0.1853 | 0.667 | ||||
Origin × Max. vegetation height | 1 | 279.297 | 0.0001 | 0.993 | 1 | 279.264 | 0.0392 | 0.843 | ||||
Root:Shoot Ratio | ||||||||||||
NumDf | DenDF | F | P | NAT | INV | |||||||
Origin | 1 | 54.908 | 11.7481 | 0.001 | 2.31 ± 2.27 | 1.76 ± 1.70 | ||||||
Number of leaves | 1 | 290.887 | 0.4528 | 0.502 | ||||||||
J. vulgaris density | NA | NA | NA | NA | ||||||||
Max. vegetation height | NA | NA | NA | NA | ||||||||
Origin × J. vulgaris density | NA | NA | NA | NA | ||||||||
Origin × Max. vegetation height | NA | NA | NA | NA | ||||||||
Herbivory [probability] | Survival [probability] | |||||||||||
Estimate | Z | P | NAT | INV | Estimate | z | P | NAT | INV | |||
Origin | 14.4039 | 2.317 | 0.021 | 0.13 ± 0.34 | 0.11 ± 0.32 | 0.1614 | 0.403 | 0.687 | 0.86 ± 0.35 | 0.84 ± 0.36 | ||
Number of leaves | NA | NA | NA | NA | NA | NA | ||||||
J. vulgaris density | -0.0381 | -1.487 | 0.137 | NA | NA | NA | ||||||
Max. vegetation height | 0.1737 | 2.821 | 0.005 | NA | NA | NA | ||||||
Origin × J. vulgaris density | -0.0382 | -1.013 | 0.311 | NA | NA | NA | ||||||
Origin × Max. vegetation height | -0.1296 | -2.27 | 0.023 | NA | NA | NA |
Origin effects (field experiment). Response of performance (a–c) traits in relation to origin of the seeds for each individual. Data shown are predicted values from the model ± SE. Native individuals (left, blue) originated from the field sites where the experimental plots were located. Invasive individuals (right, orange) originate from the Pacific Northwest. Herbivory (d) was assessed as a binary trait (presence/absence) only. N = 319 (a–c) and n = 322 (d). For depiction of raw data s. Suppl. material
Irrespective of origin, C:N ratio and maximum height of the vegetation in the monitoring plot displayed a significantly negative relationship with J. vulgaris belowground and total biomass as well as with length of the longest leaf (not shown, Table
For functional leaf traits, no significant origin effect could be detected (Table
Field experiment – functional traits. Results from the ANOVA for the linear-mixed effects in the field experiment for functional leaf traits. Significant effects (p<0.05) are printed in bold.
SLA (week 6) | LDMC (week 6) | |||||||||||
NumDf | DenDF | F | P | NAT | INV | NumDf | DenDF | F | P | NAT | INV | |
Origin | 1 | 156.816 | 1.6254 | 0.204 | 21.84 ± 6.16 | 20.37 ± 4.17 | 1 | 43.488 | 3.1219 | 0.084 | 0.13 ± 0.03 | 0.13 ± 0.02 |
Number of leaves | 1 | 173.993 | 3.6489 | 0.058 | 1 | 170.423 | 0.8594 | 0.355 | ||||
α-Diversity | 1 | 7.592 | 12.0547 | 0.009 | NA | NA | NA | NA | ||||
C:N ratio | 1 | 5.373 | 5.8519 | 0.056 | NA | NA | NA | NA | ||||
Origin × α-Diversity | 1 | 139.819 | 6.3232 | 0.013 | NA | NA | NA | NA | ||||
Origin × C:N ratio | 1 | 155.856 | 0.4553 | 0.500 | NA | NA | NA | NA | ||||
SLA (week 14) | LDMC (week 14) | |||||||||||
NumDf | DenDF | F | P | NAT | INV | NumDf | DenDF | F | P | NAT | INV | |
Origin | 1 | 284.181 | 1.4873 | 0.224 | 27.38 ± 7.54 | 27.29 ± 7.49 | 1 | 292.377 | 0.1939 | 0.660 | 0.11 ± 0.02 | 0.09 ± 0.02 |
Number of leaves | 1 | 299.233 | 1.469 | 0.226 | 1 | 255.374 | 0.7518 | 0.387 | ||||
Max. vegetation height | 1 | 31.503 | 5.1708 | 0.029 | NA | NA | NA | NA | ||||
Origin * Max. vegetation height | 1 | 276.967 | 1.435 | 0.232 | NA | NA | NA | NA | ||||
α-Diversity | NA | NA | NA | NA | 1 | 27.654 | 2.552 | 0.122 | ||||
C:N ratio | NA | NA | NA | NA | 1 | 16.52 | 3.7026 | 0.072 | ||||
Origin × α-Diversity | NA | NA | NA | NA | 1 | 276.883 | 6.7717 | 0.010 | ||||
Origin × C:N ratio | NA | NA | NA | NA | 1 | 280.836 | 0.0623 | 0.803 |
Origin effects × covariate (field experiment). Effects of origin in interaction with α-diversity (a, c) and maximum vegetation height of surrounding vegetation within the experimental plot (b). Data shown are predicted values from the model with upper and lower range. O = origin, α-Div = α-diversity, mvh = maximum vegetation height (of surrounding vegetation), SLA = specific leaf area, LDMC = leaf dry matter content. Week 6 and Week 14 indicates that the leaves for analysis were harvested after 6 weeks of experimental runtime or at the final harvest of the plants after the entire experimental runtime, respectively. N = 193 (a), 311 (b), 319 (c). SLA after 6 weeks was only taken for plants that had a sufficient number of healthy leaves and therefore constitutes a reduced subset. For depiction of raw data s. Suppl. material
In the greenhouse experiment, there was no difference in biomass depending on the origin of the individuals (Table
Greenhouse experiment – performance traits. Results from the ANOVA for the linear-mixed effects in the greenhouse experiment for performance traits. Significant effects (p<0.05) are printed in bold. Treatment refers to the provenance of the added soil. All soils originate from field sites within the species’ native range.
Rosette Expansion [cm²] | Number of Leaves | |||||||||||
NumDf | DenDF | F | P | NAT | INV | Chisq | Df | Pr | NAT | INV | ||
Origin | 1 | 10.302 | 0.3555 | 0.563 | 515.6 ± 198.34 | 525.75 ± 185.82 | 0.343 | 1 | 0.558 | 26.35 ± 8.19 | 25.19 ± 8.42 | |
Treatment | 6 | 224.597 | 2.6195 | <0.001 | 19.756 | 6 | 0.003 | |||||
Initialϯ | 1 | 224.9 | 3.93 | 0.090 | 19.2468 | 1 | <0.001 | |||||
Origin × Treatment | 6 | 224.529 | 0.9115 | 0.487 | 24.9001 | 6 | <0.001 | |||||
Length of longest Leaf [cm] | ||||||||||||
NumDf | DenDF | F | P | NAT | INV | |||||||
Origin | 1 | 10.007 | 3.462 | 0.092 | 17.83 ± 3.80 | 18.66 ± 3.83 | ||||||
Treatment | 6 | 200.665 | 3.9741 | <0.001 | ||||||||
Initialϯ | 1 | 220.839 | 16.663 | <0.001 | ||||||||
Origin × Treatment | 6 | 200.924 | 1.3928 | 0.219 | ||||||||
Aboveground Biomass [g] | Belowground Biomass [g] | |||||||||||
NumDf | DenDF | F | P | NAT | INV | NumDf | DenDF | F | P | NAT | INV | |
Origin | 1 | 10.211 | 2.915 | 0.160 | 4.80 ± 2.15 | 5.39 ± 2.66 | 1 | 223 | 0.0646 | 0.800 | 8.77 ± 5.39 | 2.66 ± 8.77 |
Treatment | 6 | 225.441 | 2.0788 | 0.057 | 6 | 223 | 3.7241 | 0.002 | ||||
Number of leaves | 1 | 224.85 | 2.4574 | 0.118 | 1 | 223 | 0.0208 | 0.886 | ||||
Origin × Treatment | 6 | 225.216 | 1.1429 | 0.338 | 6 | 223 | 0.4702 | 0.930 | ||||
Total Biomass [g] | Root:Shoot ratio | |||||||||||
NumDf | DenDF | F | P | NAT | INV | NumDf | DenDF | F | P | NAT | INV | |
Origin | 1 | 10.65 | 1.8419 | 0.203 | 12.24 ± 8.20 | 14.24 ± 8.78 | 1 | 36.516 | 0.3564 | 0.554 | 1.77 ± 1.25 | 1.65 ± 1.26 |
Treatment | 6 | 226.95 | 3.7727 | 0.001 | 6 | 187.414 | 2.0053 | 0.067 | ||||
Number of leaves | 1 | 171.56 | 0.1229 | 0.726 | 1 | 190.777 | 0.0396 | 0.842 | ||||
Origin × Treatment | 6 | 226.55 | 0.9688 | 0.447 | 6 | 186.814 | 0.2409 | 0.962 |
Treatment effects on performance traits (greenhouse experiment). Effects of soil provenance in the greenhouse experiment. Data shown are predicted values from the model ± SE. Different colors represent different soil origins (only soil from native sites were included in this experiment). Different letter combinations in the panels indicate significant differences according to the Tukey post-hoc test. ALB = Albersdorf, ARB = Arpsdorf, BUN = Bünsdorf/Wittensee, Con = Control (no soil added from any field site), PRE = Preetz, ROT = Rotenhahn/Eidertal, VOL = Vollstedter See. For location information see Suppl. material
For the functional traits SLA and LDMC, no difference depending on the origin of the individuals could be detected (Table
Greenhouse experiment – functional traits. Results from the ANOVA for the linear-mixed effects in the field experiment for functional leaf traits. Significant effects (p<0.05) are printed in bold.
SLA (week 4) | LDMC (week 4) | |||||||||||
NumDf | DenDF | F | P | NAT | INV | NumDf | DenDF | F | P | NAT | INV | |
Origin | 1 | 10.142 | 0.9933 | 0.342 | 23.99 ± 4.46 | 22.73 ± 3.55 | 1 | 9.911 | 0.1945 | 0.669 | 0.12 ± 0.00 | 0.12 ± 0.02 |
Treatment | 6 | 202.852 | 2.807 | 0.012 | 6 | 203.173 | 3.3796 | 0.003 | ||||
Number of leaves | 1 | 235.607 | 3.1885 | 0.075 | 1 | 205.374 | 10.3484 | 0.002 | ||||
Origin × Treatment | 6 | 202.57 | 0.4798 | 0.823 | 6 | 202.779 | 1.0921 | 0.368 | ||||
SLA (week 12) | LDMC (week 12) | |||||||||||
NumDf | DenDF | F | P | NAT | INV | NumDf | DenDF | F | P | NAT | INV | |
Origin | 1 | 10.214 | 1.6375 | 0.229 | 21.22 ± 3.33 | 19.95 ± 3.35 | 1 | 9.894 | 0.0999 | 0.759 | 0.20 ± 0.03 | 0.20 ± 0.04 |
Treatment | 6 | 200.084 | 3.7331 | 0.002 | 6 | 200.154 | 1.2052 | 0.305 | ||||
Number of leaves | 1 | 232.749 | 8.0692 | 0.005 | 1 | 219.386 | 1.3717 | 0.243 | ||||
Origin × Treatment | 6 | 199.909 | 0.2384 | 0.963 | 6 | 199.852 | 0.177 | 0.983 |
Treatment effects on functional traits (greenhouse experiment). Effects of soil provenance in the greenhouse experiment. Data shown are predicted values from the model ± SE. Different colors represent different soil origins (only soil from native sites were included in this experiment). Different letter combinations in the panels indicate significant differences according to the Tukey post-hoc test. ALB = Albersdorf, ARB = Arpsdorf, BUN = Bünsdorf/Wittensee, Con = Control (no soil added from any field site), PRE = Preetz, ROT = Rotenhahn/Eidertal, VOL = Vollstedter See. For location information see Suppl. material
Since its initial appearance in the Pacific Northwest about a century ago, there was, theoretically, ample time for adaptive evolutionary adjustment to occur in Jacobaea vulgaris populations. Local adaptation is supposed to lead to fitness advantages of invasive populations adjusted to environmental conditions in the novel range, including an absence of specialist herbivores (
There is some evidence that specialist herbivores prefer invasive individuals of J. vulgaris over native ones (
In contrast, the absence of any origin-dependent differences in the greenhouse experiment was unexpected given previous studies with J. vulgaris showing higher performance of invasive origins (
In the field experiment, the invasive individuals might also have benefitted from atypically high temperature and decreased precipitation during the experimental runtime (
In the present study, the provenance of soil (treatment) differently impacted J. vulgaris performance (e.g., aboveground biomass), thereby confirming that soil-borne biotic effects contribute to differentiation among populations, as expected (hypothesis III). Strong negative feedbacks on J. vulgaris populations themselves have previously been shown in native populations (
Knowledge about soil provenance × plant origin interactions in general is lacking for this model species to date and we found no signs for enemy release on the belowground level as shown for Centaurea maculosa performance (
In the present experiment, maximum vegetation height (strongly linked to light availability with r = - 0.62, p<0.001 with Pearson’s rank) was a relevant environmental factor for both origins, with the typical responses of increasing specific leaf area with decreasing light availability (
In summary, we cannot conclude explicitly which factors are the main drivers of increased performance of invasive transplants in the species’ native range (hypothesis II). It is, therefore, also difficult to accurately predict the long-term consequences of back-introduction of propagules or individuals of invasive origin into the species’ native range. However, genetic admixture might accelerate geographic expansion and invasion (
Invasive genotypes of J. vulgaris seem to exhibit higher levels of phenotypic variation, giving them more leeway when confronted with changing environmental conditions. This appears to be especially applicable under favorable environmental conditions as found in the field experiment, but our findings do not preclude that invasive genotypes might also show superior performance under certain more stressful conditions. It is probable that invasive genotypes, in the future, might do even better in the species’ native range, as the environmental conditions might converge to the environmental conditions of the invasive regions.
With regard to a possible cryptic invasion of J. vulgaris in the native range, the present study suggests two main messages: Primarily, (back-) introduction of propagules from the invasive ranges of J. vulgaris should be prevented as much as possible. Secondly, it might be beneficial to invest more in further identifying the characteristics that decrease the susceptibility of a field site for J. vulgaris in general. For J. vulgaris, in particular, highly controlled greenhouse experiments under realistic conditions should aim to validate the observed patterns in generative (second-year) flowering plants and assess fitness traits.
However, it is likely that cryptic invasions will occur more often than identified so far. To date, invasion research mostly focuses on the unidirectional introduction into the novel range, and little is known about the possibility of back-introduction. Furthermore, knowledge about the frequency with which back-introductions happen is so far lacking. Generally, pathways of biological invasions are complex and vary in their relative importance over time (
We thank P. Music and F. Meyer for helping to set up the field experiment and subsequent support in monitoring as well as H. Bülow for plant care in the greenhouse. For technical help, especially in soil sterilization, we want to thank I. Meyer and C. Plieth for providing the necessary equipment. We are grateful to the Stiftung Naturschutz Schleswig-Holstein and A. Huckauf, in particular, for providing permission and access to their field sites.
The study was financially supported by the Evangelisches Studienwerk Villigst e.V. with a Ph.D. scholarship awarded to LYW and with a Quick and Tiny grant from Kiel University awarded to JR and LYW. We acknowledge financial support by Land Schleswig-Holstein within the funding programme Open Access Publikationsfonds.
Supplementary information
Data type: images, tables (word document)
Explanation note: Population information. Schematic overview of one experimental plot with planting scheme. Transformations of variables. Mean values for performance traits (field experiment). Mean values for functional leaf traits (field experiment). Mean values for performance traits (greenhouse experiment). Mean values for functional leaf traits (greenhouse experiment). Origin effects (field experiment). Origin effects × covariate (field experiment). Treatment effects on performance traits (greenhouse experiment). Treatment effects on functional traits (greenhouse experiment).