| Literature DB >> 36195654 |
Carolyn S Schroeder1, Nelle K Kulick2, Emily C Farrer3.
Abstract
Although global change clearly influences species invasion, the exact mechanisms by which global change either intensifies or limits invasive spread remain elusive. Global change can affect invasion directly by altering abiotic conditions, as well as indirectly by altering the abundance and composition of interacting species. Here we examine the relative impacts of direct effects of saltwater intrusion and indirect effects via microbial interactions on the expansion of a model invasive plant species, Phragmites australis, in freshwater marshes of coastal Louisiana. Using a mesocosm experiment, we found that overall salinity strongly increases invasion, but the direction and magnitude of direct and indirect effects were context dependent. Indirect effects of salinity, via alterations in soil microbial composition, increased invasive performance when grown in monoculture and decreased native performance in native-only communities. However, when P. australis and natives were grown together, microbial indirect effects were not important; rather the salinity treatment increased P. australis invasion through reduction of native plant growth. Results suggest that salinity-induced alteration of soil microbes will increase susceptibility of native communities to invasion and promote P. australis monoculture expansion in later stages of invasion; whereas non-microbial effects of salinity are more important in early stages of invasion when P. australis is competing with native species. More broadly, these results underscore the importance of considering microbially-mediated indirect effects of global change in investigating the long-term outcomes of plant species interactions.Entities:
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Year: 2022 PMID: 36195654 PMCID: PMC9532423 DOI: 10.1038/s41598-022-20555-3
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Two-way ANOVA results testing the effects of salinity (direct effects) and microbial inoculum (indirect effects) on P. australis biomass in monoculture and mixed communities and on pooled native biomass in native communities and mixed communities.
| Community | Salinity | Inoculum | |||||
|---|---|---|---|---|---|---|---|
| Monoculture | 46.40 | 1.29 | 0.017* | 91.93 | 1.29 | < 0.001*** | |
| Mixed | 127.47 | 1.29 | < 0.001*** | 0.0038 | 1.29 | 0.95 | |
| Native | Native | 1.29 | 1.29 | 0.27 | 24.19 | 1.29 | < 0.001*** |
| Mixed | 38.72 | 1.29 | < 0.001*** | 0.15 | 1.29 | 0.70 | |
The salinity*inoculum interaction terms were not significant, so they were removed from final models. Note that analyses in this table only include two inoculum types (microbes from freshwater or saline conditions) so that they represent indirect effects, whereas analyses shown in Fig. 1 include three inoculum types (sterile, freshwater, and saline).
Figure 1Effects of salinity (low and high) and inoculum (sterile, freshwater, and saline) on P. australis biomass in monoculture (a) and mixed communities (b) and on pooled native biomass in native communities (c) and mixed communities (d). White bars represent sterile soils, light grey bars represent freshwater inoculum treatments, and dark grey bars represent saline inoculum treatments. Error bars represent 1 standard error of treatment means. Two-way ANOVA results are presented. The salinity*inoculum interaction term was included in models if significant. Letters over the bars represent differences in means from Tukey post hoc tests. To visually compare biomass in different community types, total pooled biomass was adjusted to represent biomass per plant. For P. australis, total biomass was divided by six in monocultures and by three in mixed communities. For native species, total native biomass was divided by six in native communities, and by three in mixed communities.
Figure 2Effects of salinity (low and high) and inoculum (sterile, freshwater, and saline) on native species biomass in native communities (a–c) and mixed communities (d–f). White bars represent sterile soils, light grey bars represent freshwater inoculum treatments, and dark grey bars represent saline inoculum treatments. Error bars represent 1 standard error of treatment means. Two-way ANOVA results are presented. The salinity*inoculum interaction term was not significant, so it was not included in final models. Letters over the bars represent differences in means from Tukey post hoc tests. To compare biomass in different community types, total pooled biomass was adjusted to represent biomass per plant. There were two plants per species in the native communities, so total biomass per species was divided by two. There was only one plant per species in the mixed communities, so it was not adjusted.