Abstract
Disturbances can play a major role in biological invasions: by destroying biomass, they alter habitat and resource abundances. Previous field studies suggest that disturbance-mediated invader success is a consequence of resource influxes, but the importance of other potential covarying causes, notably the opening up of habitats, have yet to be directly tested. Using experimental populations of the bacterium Pseudomonas fluorescens, we determined the relative importance of disturbance-mediated habitat opening and resource influxes, plus any interaction between them, for invader success of two ecologically distinct morphotypes. Resource addition increased invasibility, while habitat opening had little impact and did not interact with resource addition. Both invaders behaved similarly, despite occupying different ecological niches in the microcosms. Treatment also affected the composition of the resident population, which further affected invader success. Our results provide experimental support for the observation that resource input is a key mechanism through which disturbance increases invasibility.
Keywords: resource influx, habitat opening, disturbance and invasion
1. Introduction
Biological invasions are a major global issue and widely accepted as the second biggest cause of extinctions after habitat loss [1]. They reduce biodiversity, change ecosystem dynamics and cause huge financial costs [1–6]. For these reasons, it is essential to understand how some exotic species can become invasive and what makes an ecosystem vulnerable to invasion [2,7,8]. A factor frequently shown to facilitate invasions is disturbances: events that, through destruction of biomass, lead to changes in resource and habitat availability [9–12].
Disturbance can potentially alter invasion success in a number of inter-related ways. Three key examples are increased resource availability (defined as required substances such as light, soil nitrogen or water [2,12,13]), habitat opening [14] and alterations in community composition [15]. The extent to which these factors occur may vary for different disturbance types and differ in their impact on community invasibility; disentangling these differences is fundamental for understanding disturbance-mediated invader success. Disturbances can increase resource availability through associated resource inputs and resident mortality [13,16,17]; this can allow invading populations to establish by reducing competition with residents [18,19]. Consequently, increased resource input is likely to particularly benefit fast-growing, generalist invaders [8,14,20–22]. The opening up of habitats reduces any advantage established residents have over invaders due to priority effects (larger population sizes and local adaptation) [23–25]; if specific habitats are opened, it is most likely that specialists will benefit over generalist invaders [8,14,20–22]. The temporary loss of resident functional diversity associated with some disturbances [15,26] can result in less efficient resource use and vacant habitats, again promoting invasions [19,21,22,27–30].
A large proportion of previous disturbance–invasion work concentrates on resource influxes as the cause of increased invasibility, with little consideration for habitat opening (e.g. [13,31], but see [12]). Studies that do take habitat opening into account are either observational and do not actively disturb or invade communities (e.g. [8]) or indirectly alter resource availability in habitat opening treatments through consumption reduction (e.g. [12]) [13]. Here, we experimentally investigated the relative importance of two aspects of disturbance-induced biomass destruction in determining invasion success: resource availability and habitat opening, as well as their consequences for the resident population density and diversity, in experimental populations of bacteria. In order to independently manipulate these variables, biomass destruction per se had to be avoided.
We used the bacterium Pseudomonas fluorescens, which has previously been used as a model for testing the causes and consequences of diversity [32,33] and invasion biology [28,34,35]. When introduced into a spatially structured microcosm, P. fluorescens diversifies into three distinct morphotypes: an air–broth interface growing wrinkly spreader (WS), a broth inhabiting smooth (SM) and the rarer bottom-dwelling fuzzy spreader [32,34,36–38]. We independently manipulated two key potential consequences of disturbance in a full factorial design: habitat opening by homogenization to open the surface niche and resource abundance through directly adding nutrients. We then determined the change in resident population composition and the success of genetically marked and visually distinguishable P. fluorescens lacZ marked invaders. Although originally reported to be neutral [39], the lacZ marker has been found to give a fitness advantage [40]: we additionally test this. By using two different invading morphotypes, the faster-growing SM and the more spatial niche-specific WS, it was possible to test whether different invader characteristics are predictably affected by resource input and habitat opening.
2. Methods
(a). Strains
Ancestral P. fluorescens SBW25 was grown overnight to carrying capacity in shaken glass vials (microcosms) containing 6 ml of King's medium B (KB), at 28°C with loose lids to allow oxygen transfer. This was inoculated into static microcosms and left to diversify for 7 days, before either being plated or disturbed and invaded according to treatment group and left for a further 2 days (figure 1). Microcosms plated on day 7 (n = 12) were used to estimate a resident density at the time of invasion of 4.17 × 109 (±1.09 × 109 SD) colony forming units (cfu). On day 9, all treated microcosms were thoroughly homogenized and frozen at −80°C in a final concentration of 25% glycerol. Samples were plated at 10−5 and 10−6 dilutions on KB agar plates containing 100 µg l−1 of X-gal (5-bromo-4-chloro-3-indolyl-β-d-galactopyranoside [41]). For the invader, P. fluorescens marked with a lacZ insert [39] was grown in static KB and left to diversify for 6 days before being plated; this strain is visually distinguishable from the wild-type in the presence of X-gal due to a colour change to blue. A single SM and a WS morph were selected, grown overnight, then both frozen in glycerol stock and plated to check morphotype purity. To stop any additional resources being added to the treatments, invaders were removed from their growth medium by centrifuging and re-diluted in M9 salt solution (3 g KH2PO4, 6 g Na2HPO4, 5 g NaCl per litre), a buffer to control for volume, before addition.
(b). Experimental design
Treatments to manipulate resource availability contrasted the addition of the growth medium KB with that of M9 buffer. Treatments to examine habitat opening involved homogenization to open the broth surface niche, in contrast with a static control. This generates a 2 × 2 full factorial experimental design with four treatment groups: homogenized + M9 buffer (opened habitat only), static + KB (added resources only), homogenized + KB (full disturbance: opened habitat + resource addition) and static + buffer (no disturbance/control; figure 1). Buffer (M9) was added to the control microcosms to account for increases in broth volume in the KB addition treatments. About 2000 µl of KB or buffer was added; homogenization lasted for 30 s. All microcosms were then immediately invaded with 60 µl (1% of resident population volume) of either the SM (= 1.48 × 108 cfu) or WS (= 1.21 × 108 cfu) invader. Both invader and resources were pipetted slowly down the side of the microcosm in order to minimize disruption to any biofilm. Biofilms remained whole throughout addition, with any disruption (i.e. separation from the glass) being minimal in comparison with homogenization. All treatments were replicated six times with both invaders, resulting in 48 microcosms.
(c). Competition experiment
To determine the relative fitness of the ancestral wild-type to the ancestral lacZ strain, cultures were grown shaken overnight before 3 ml of each was mixed together in a fresh microcosm. This was plated to determine starting densities and 60 µl used to inoculate 8 KB microcosms that were then left to grow overnight statically before being plated. Relative fitness (W) was calculated as the ratio of growth rates, with growth estimated from Malthusian parameters (ln(end density/start density))/time [42].
(d). Statistical analysis
Relative invader fitness (invasion success) was calculated as percentage change, v, of the proportion of invader (lacZ strain) relative to the resident. v was given by v = x2(1 − x1)/x1(1 − x2), where x1 is the initial invader proportion and x2 the final [43]. This was then square-root transformed. This allows comparison of proportional change even when the community is no longer growing exponentially. Generalized linear models (GLMs) were carried out in R [44] to test for the interactive effects of habitat opening, resource addition and invader morphotype on invasion success (√-transformed). We additionally added resident SM and WS densities, plus their interaction, as covariates in this model. Similarly, we also tested for the effect of treatments and invader morphotypes on resident densities using a GLM. Resident densities were normalized using a log10(n + 1 ml−1) transformation. In both cases, non-significant model terms (p > 0.05) were sequentially removed and model fits were compared using F-tests. Relative wild-type and invader fitness were compared with a t-test.
3. Results
(a). Invasion success
We factorially manipulated resource availability and habitat opening to determine their relative impact on the success of two different invaders. Habitat opening did not significantly affect invasion success (F1,44 = 0.94, p = 0.34; figure 2), nor interact with resources (F1,43 = 2.04, p = 0.16), but resource addition increased invasibility (F1,45 = 13.0, p < 0.001). Invader morphotypes differed in their success, with the mean SM invasion success (2.78 ± 0.73 s.d.) higher than WS (1.58 ± 0.90 s.d.) across the four treatments (F1,45 = 10.8, p < 0.001). There were no significant interactions between invader type and the resource and habitat manipulations in terms of invasion success (p > 0.16 for all interaction terms). Note that the lacZ invader increased in frequency in the majority of replicates (v > 1), and the lacZ ancestor had a higher relative fitness than the wild-type ancestor in competition frequencies in which starting ratios were approximately equal (t = 5.3, d.f. = 7, p = 0.001).
(b). Resident morph density and its effect on invasion success
Total resident density did not significantly differ between treatments (F3,44 = 1.14, p = 0.35; figure 3). However, specific resident morphotypes did differ. Resident SM density increased when resources were added, but only when invaded by the SM morphotype (F1,44 = 7.28, p < 0.01); no other variable had a significant affect. The density of resident WS was affected by a more complex three-way interaction between invader, habitat opening and resource addition (F1,40 = 17.2, p < 0.001).
To determine the relative importance of these changes in resident populations to the direct effects of the manipulations, we included total resident density in our model: there was a negative effect on invader success (F1,43 = 17.6, p < 0.001). To decompose total resident density effects into the effects of WS and SM residents, we added final resident SM and WS densities, plus the interaction between them, as covariates in the statistical model for invasion success. As before, resource addition consistently increased invasion success (F1,44 = 21.7, p < 0.001) and the WS invader was less successful (F1,46 = 18.2, p < 0.001). However, increased resident density significantly reduced invasion success (main effect of WS density and WS by SM density interaction: F1,42 = 18.2, p < 0.001; F1,38 = 14.4, p < 0.001, respectively; figure 4). Additionally, there was a significant three-way interaction between resources, habitat opening and invader (F1,37 = 8.31, p = 0.007), with the greatest invasion success occurring when SM invaded microcosms that were disturbed in both ways. This demonstrates treatments had a direct effect on invasion, as well as an indirect effect through changes in resident population densities.
4. Discussion
Here, we experimentally determined, using a microbial system, the contributions of two distinct disturbance-induced processes predicted to enhance the success of invaders: resource influx and habitat opening. We found that resource influx provided a fitness advantage to the faster-growing invaders over the residents, while habitat opening had no impact. These results support previous observational work that attributes post-disturbance invader success primarily to resource influxes [8]. Invaders benefiting from resource influxes can be explained by reduced competition, and hence higher growth rate, allowing the invading genotypes to become established [13,18]. That the relative benefit of resource influx was independent of the life history of the invader (faster-growing SM or mat-forming WS [45]) adds to the generality of this finding.
The absence of an effect of opening up the WS ecological niche on invasion success of the WS invader may initially seem surprising. In this context, the resident WS were still present in the population, hence both resident and invader would have competed to colonize the opened niche, as opposed to the invader invading an already colonized niche. This lack of difference between invasion success when the residents were occupying the same niche as opposed to being present in the wider environment suggests either an absence of, or no treatment effect on, priority for this particular niche [22]. As previous work has found strong priority effects in diversified P. fluorescens communities, the latter is more likely [46].
The density of the resident communities also affected invader success, with the density of WS in particular having a negative effect. This is presumably because of increased resource competition. The morphotypic composition of each resident population was the result of independent evolution from an initially clonal population, and as such, there was considerable within-treatment variation. However, resident composition was also affected by interactions between the two treatments and the invader type; gaining insights into the mechanisms underlying these results may be a useful future direction. The key point is that resource influx had an indirect effect on invasion success through changes in resident community composition, in addition to the direct effect described above. Moreover, controlling for these differences revealed that SM invaders were particularly successful at invading microcosms in which resources were added and the biofilm was destroyed. More generally, the interactions between invader type and resident populations demonstrate how invaders can modify their new environment and potentially create invasion feedback loops [27,47]. Biological invasions themselves can act as disturbances; the establishment of invaders that alter resource abundances could have a major future impact on the community's invasibility [2,18,22,29,48]. An example of this is the invasion of New Zealand forests by mammalian browsers which, through changing the forest composition, can facilitate invasion by exotic avifauna that are otherwise outcompeted by native birds [49].
While our results suggest resource influxes are a key driver of invasion success post-disturbance, the relative importance of resources and habitat opening is likely to be dependent on the community being disturbed [2,8,27]. For example, habitat opening may be expected to have a bigger effect when resident species are maladapted to the post-disturbance environment; this could be due to the disturbance itself or from niche modification by established invaders [22,24]. Maladaptation will erode both priority (fitness advantage of being the first to occupy a niche) and dominance effects (disproportionally large influence by one species on invasion resistance, usually through competitive dominance over limiting resources), ultimately reducing invasion resistance by weakening the residents' competitive dominance [27,50]. The chance of post-disturbance maladaptation occurring may be greater in more diverse communities, where species are more likely to be niche specialists [32]. Similarly, resource influxes have been shown to have a bigger effect on invasibility in communities that were resource-poor beforehand [8]. How communities respond to disturbance also depends on their previous disturbance regime [2,8,27], with deviations from this explaining twice the variation in invasion risk than disturbance per se [51]. Finally, invaders only being able to establish due to resource influxes raises the question of whether their populations will be stable when resource abundances return to pre-disturbance levels. For example, Petryna et al. [52] found that although disturbance facilitated invasions of grassland, invader populations reduced with time after disturbance.
In summary, using a microbial system, we have provided experimental support for the proposed key role of resource influx in driving post-disturbance invasion success. However, more studies are needed to determine how disturbance history and other ecological variables will affect the generality of this conclusion.
Supplementary Material
Data accessibility
The full dataset used is accessible from the Dryad Digital Repository: https://doi.org/10.5061/dryad.j6q573n84 [53].
Authors' contributions
L.L. conceived the study, designed and carried out the experimental work, statistical analysis, interpretation of results and drafted the manuscript. E.H. analysed and interpreted the data as well as critically revised the manuscript. K.S. analysed and interpreted the data as well as critically revised the manuscript. A.B. helped with experimental design, interpretation of the data, statistical analysis and critically revised the manuscript. All authors gave final approval for publication and agree to be held accountable for the work performed therein.
Competing interests
We declare we have no competing interests
Funding
This work was supported by NSF-NERC award no. DEB-1556444.
References
- 1.Vitousek PM, D'antonio CM, Loope LL, Rejmanek M, Westbrooks R. 1997. Introduced species: a significant component of human-caused global change. New Zeal. J. Ecol. 21, 1–16. [Google Scholar]
- 2.Sher AA, Hyatt LA. 1999. The disturbed resource-flux invasion matrix: a new framework for patterns of plant invasion. Biol. Invasions 1, 107–114. ( 10.1023/A:1010050420466) [DOI] [Google Scholar]
- 3.Shea K, Chesson P. 2002. Community ecology theory as a framework for biological invasions. Trends Ecol. Evol. 17, 170–176. ( 10.1016/S0169-5347(02)02495-3) [DOI] [Google Scholar]
- 4.Levine JM, Vilà M, Antonio CMD, Dukes JS, Grigulis K, Lavorel S. 2003. Mechanisms underlying the impacts of exotic plant invasions. Proc. R. Soc. Lond. B 270, 775–781. ( 10.1098/rspb.2003.2327) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Didham RK, Tylianakis JM, Hutchison MA, Ewers RM, Gemmell NJ. 2005. Are invasive species the drivers of ecological change? Trends Ecol. Evol. 20, 470–474. ( 10.1016/j.tree.2005.07.006) [DOI] [PubMed] [Google Scholar]
- 6.Leishman MR, Haslehurst T, Ares A, Baruch Z. 2007. Leaf trait relationships of native and invasive plants: community- and global-scale comparisons. New Phytol. 176, 635–643. ( 10.1111/j.1469-8137.2007.02189.x) [DOI] [PubMed] [Google Scholar]
- 7.Holway DA, Suarez AV. 1999. Animal behavior: an essential component of invasion biology. Trends Ecol. Evol. 14, 328–330. ( 10.1016/S0169-5347(99)01636-5) [DOI] [PubMed] [Google Scholar]
- 8.Lake JC, Leishman MR. 2004. Invasion success of exotic plants in natural ecosystems: the role of disturbance, plant attributes and freedom from herbivores. Biol. Conserv. 117, 215–226. ( 10.1016/S0006-3207(03)00294-5) [DOI] [Google Scholar]
- 9.Picket ST, White P. 1985. The ecology of natural disturbance and patch dynamics. Orlando, FL: Academic Press. [Google Scholar]
- 10.Shumway SW, Bertness MD. 1994. Patch size effects on marsh plant secondary succession mechanisms. Ecology 75, 564–568. ( 10.2307/1939559) [DOI] [Google Scholar]
- 11.Roxburgh SH, Shea K, Wilson JB. 2004. The intermediate disturbance hypothesis: patch dynamics and mechanisms of species coexistence. Ecology 85, 359–371. ( 10.1890/03-0266) [DOI] [Google Scholar]
- 12.Lembrechts JJ, et al. 2016. Disturbance is the key to plant invasions in cold environments. Proc. Natl Acad. Sci. USA 113, 14 061–14 066. ( 10.1073/pnas.1608980113) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Davis MA, Grime JP, Thompson K. 2000. Fluctuating resources in plant communities: a general theory of invasibility. J. Ecol. 88, 528–534. ( 10.1046/j.1365-2745.2000.00473.x) [DOI] [Google Scholar]
- 14.Tilman D. 1994. Competition and biodiversity in spatially structured habitats. Ecology 75, 2–16. ( 10.2307/1939377) [DOI] [Google Scholar]
- 15.Buckling A, Kassen R, Bell G, Rainey PB. 2000. Disturbance and diversity in experimental microcosms. Nature 408, 961–964. ( 10.1038/35050080) [DOI] [PubMed] [Google Scholar]
- 16.Baldwin DS, Mitchell A. 2000. The effects of drying and re-flooding on the sediment and soil nutrient dynamics of lowland river–floodplain systems: a synthesis. Regul. Rivers Res. Manage. 16, 457–467. () [DOI] [Google Scholar]
- 17.Gordon LJ, Peterson GD, Bennett EM. 2008. Agricultural modifications of hydrological flows create ecological surprises. Trends Ecol. Evol. 23, 211–219. ( 10.1016/j.tree.2007.11.011) [DOI] [PubMed] [Google Scholar]
- 18.Tilman D. 2004. Niche tradeoffs, neutrality, and community structure: a stochastic theory of resource competition, invasion, and community assembly. Proc. Natl Acad. Sci. USA 101, 10 854–10 861. ( 10.1073/pnas.0403458101) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Catford JA, Jansson R, Nilsson C. 2009. Reducing redundancy in invasion ecology by integrating hypotheses into a single theoretical framework. Divers. Distrib. 15, 22–40. ( 10.1111/j.1472-4642.2008.00521.x) [DOI] [Google Scholar]
- 20.Rejmánek M, Richardson DM. 1996. What attributes make some plant species more invasive? Ecology 77, 1655–1661. ( 10.2307/2265768) [DOI] [Google Scholar]
- 21.Violle C, Pu Z, Jiang L. 2010. Experimental demonstration of the importance of competition under disturbance. Proc. Natl Acad. Sci. USA 107, 12 925–12 929. ( 10.1073/pnas.1000699107) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Fukami T. 2015. Historical contingency in community assembly: integrating niches, species pools, and priority effects. Annu. Rev. Ecol. Evol. Syst. 46, 1–23. ( 10.1146/annurev-ecolsys-110411-160340) [DOI] [Google Scholar]
- 23.Fargione J, Brown CS, Tilman D. 2003. Community assembly and invasion: an experimental test of neutral versus niche processes. Proc. Natl Acad. Sci. USA 100, 8916–8920. ( 10.1073/pnas.1033107100) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Urban MC, De Meester L. 2009. Community monopolization: local adaptation enhances priority effects in an evolving metacommunity. Proc. R. Soc. B 276, 4129–4138. ( 10.1098/rspb.2009.1382) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Vannette RL, Fukami T. 2014. Historical contingency in species interactions: towards niche-based predictions. Ecol. Lett. 17, 115–124. ( 10.1111/ele.12204) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Connell JH. 1978. Diversity in tropical rain forests and coral reefs. Science 199, 1302–1310. ( 10.1126/science.199.4335.1302) [DOI] [PubMed] [Google Scholar]
- 27.Hobbs RJ, Huenneke LF. 1992. Disturbance, diversity, and invasion: implications for conservation. Conserv. Biol. 6, 324–337. ( 10.1046/j.1523-1739.1992.06030324.x) [DOI] [Google Scholar]
- 28.Hodgson DJ, Rainey PB, Buckling A. 2002. Mechanisms linking diversity, productivity and invasibility in experimental bacterial communities. Proc. R. Soc. Lond. B 269, 2277–2283. ( 10.1098/rspb.2002.2146) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Seabloom EW, Harpole WS, Reichman O, Tilman D. 2003. Invasion, competitive dominance, and resource use by exotic and native California grassland species. Proc. Natl Acad. Sci. USA 100, 13 384–13 389. ( 10.1073/pnas.1835728100) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Emery SM, Gross KL. 2007. Dominant species identity, not community evenness, regulates invasion in experimental grassland plant communities. Ecology 88, 954–964. ( 10.1890/06-0568) [DOI] [PubMed] [Google Scholar]
- 31.Gross KL, Mittelbach GG, Reynolds HL. 2005. Grassland invasibility and diversity: responses to nutrients, seed input, and disturbance. Ecology 86, 476–486. ( 10.1890/04-0122) [DOI] [Google Scholar]
- 32.Rainey PB, Travisano M. 1998. Adaptive radiation in a heterogeneous environment. Nature 394, 69 ( 10.1038/27900) [DOI] [PubMed] [Google Scholar]
- 33.Gómez P, Buckling A. 2013. Real-time microbial adaptive diversification in soil. Ecol. Lett. 16, 650–655. ( 10.1111/ele.12093) [DOI] [PubMed] [Google Scholar]
- 34.Hall AR, Miller AD, Leggett HC, Roxburgh SH, Buckling A, Shea K. 2012. Diversity–disturbance relationships: frequency and intensity interact. Biol. Lett. 8, 768–771. ( 10.1098/rsbl.2012.0282) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zhang QG, Buckling A. 2016. Migration highways and migration barriers created by host–parasite interactions. Ecol. Lett. 19, 1479–1485. ( 10.1111/ele.12700) [DOI] [PubMed] [Google Scholar]
- 36.Kassen R, Buckling A, Bell G, Rainey PB. 2000. Diversity peaks at intermediate productivity in a laboratory microcosm. Nature 406, 508–512. ( 10.1038/35020060) [DOI] [PubMed] [Google Scholar]
- 37.Spiers AJ, Kahn SG, Bohannon J, Travisano M, Rainey PB. 2002. Adaptive divergence in experimental populations of Pseudomonas fluorescens. I. Genetic and phenotypic bases of wrinkly spreader fitness. Genetics 161, 33–46. ( 10.3410/f.726007814.793512431) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Koza A, Moshynets O, Otten W, Spiers AJ. 2011. Environmental modification and niche construction: developing O2 gradients drive the evolution of the Wrinkly Spreader. ISME J. 5, 665–673. ( 10.1038/ismej.2010.156) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Zhang X-X, Rainey PB. 2007. Construction and validation of a neutrally-marked strain of Pseudomonas fluorescens SBW25. J. Microbiol. Methods 71, 78–81. ( 10.1016/j.mimet.2007.07.001) [DOI] [PubMed] [Google Scholar]
- 40.Castledine M, Buckling A, Padfield D. 2019. A shared coevolutionary history does not alter the outcome of coalescence in experimental populations of Pseudomonas fluorescens. J. Evol. Biol. 32, 58–65. ( 10.1111/jeb.13394) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.O'Brien S, Hesse E, Luján A, Hodgson DJ, Gardner A, Buckling A. 2018. No effect of intraspecific relatedness on public goods cooperation in a complex community. Evolution 72, 1165–1173. ( 10.1111/evo.13479) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Lenski RE, Rose MR, Simpson SC, Tadler SC. 1991. Long-term experimental evolution in Escherichia coli. I. Adaptation and divergence during 2,000 generations. Am. Nat. 138, 1315–1341. ( 10.1086/285289) [DOI] [Google Scholar]
- 43.Ross-Gillespie A, Gardner A, West SA, Griffin AS. 2007. Frequency dependence and cooperation: theory and a test with bacteria. Am. Nat. 170, 331–342. ( 10.1086/519860) [DOI] [PubMed] [Google Scholar]
- 44.R Core Team 2017. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. [Google Scholar]
- 45.Kassen R, Llewellyn M, Rainey PB. 2004. Ecological constraints on diversification in a model adaptive radiation. Nature 431, 984–988. ( 10.1038/nature02923) [DOI] [PubMed] [Google Scholar]
- 46.Zee PC, Fukami T. 2018. Priority effects are weakened by a short, but not long, history of sympatric evolution. Proc. R. Soc. B 285, 20171722 ( 10.1098/rspb.2017.1722) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Mack MC, D'Antonio CM. 1998. Impacts of biological invasions on disturbance regimes. Trends Ecol. Evol. 5, 195–198. ( 10.1016/S0169-5347(97)01286-X) [DOI] [PubMed] [Google Scholar]
- 48.Levine JM, D'Antonio CM. 1999. Elton revisited: a review of evidence linking diversity and invasibility. Oikos 87, 15–26. ( 10.2307/3546992) [DOI] [Google Scholar]
- 49.Diamond JM, Veitch CR. 1981. Extinctions and introductions in the New Zealand avifauna: cause and effect? Science 211, 499–501. ( 10.1126/science.211.4481.499) [DOI] [PubMed] [Google Scholar]
- 50.Emery SM, Gross KL. 2006. Dominant species identity regulates invasibility of old-field plant communities. Oikos 115, 549–558. ( 10.1111/j.2006.0030-1299.15172.x) [DOI] [Google Scholar]
- 51.Moles AT, et al. 2012. Invasions: the trail behind, the path ahead, and a test of a disturbing idea. J. Ecol. 100, 116–127. ( 10.1111/j.1365-2745.2011.01915.x) [DOI] [Google Scholar]
- 52.Petryna L, Moora M, Nuñes C, Cantero J, Zobel M. 2002. Are invaders disturbance-limited? Conservation of mountain grasslands in Central Argentina. Appl. Veg. Sci. 5, 195–202. ( 10.1111/j.1654-109X.2002.tb00549.x) [DOI] [Google Scholar]
- 53.Lear L, Hesse E, Shea K, Buckling A. 2019. Data from: Disentangling the mechanisms underpinning disturbance-mediated invasion Dryad Digital Repository. ( 10.5061/dryad.j6q573n84) [DOI] [PMC free article] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Citations
- Lear L, Hesse E, Shea K, Buckling A. 2019. Data from: Disentangling the mechanisms underpinning disturbance-mediated invasion Dryad Digital Repository. ( 10.5061/dryad.j6q573n84) [DOI] [PMC free article] [PubMed]
Supplementary Materials
Data Availability Statement
The full dataset used is accessible from the Dryad Digital Repository: https://doi.org/10.5061/dryad.j6q573n84 [53].