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. 2022 Apr 28:13:821860.
doi: 10.3389/fmicb.2022.821860. eCollection 2022.

Responses of Biocrust and Associated Soil Bacteria to Novel Climates Are Not Tightly Coupled

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Responses of Biocrust and Associated Soil Bacteria to Novel Climates Are Not Tightly Coupled

Anita Antoninka et al. Front Microbiol. .

Abstract

Climate change is expanding drylands even as land use practices degrade them. Representing ∼40% of Earth's terrestrial surface, drylands rely on biological soil crusts (biocrusts) for key ecosystem functions including soil stability, biogeochemical cycling, and water capture. Understanding how biocrusts adapt to climate change is critical to understanding how dryland ecosystems will function with altered climate. We investigated the sensitivity of biocrusts to experimentally imposed novel climates to track changes in productivity and stability under both warming and cooling scenarios. We established three common gardens along an elevational-climate gradient on the Colorado Plateau. Mature biocrusts were collected from each site and reciprocally transplanted intact. Over 20 months we monitored visible species composition and cover, chlorophyll a, and the composition of soil bacterial communities using high throughput sequencing. We hypothesized that biocrusts replanted at their home site would show local preference, and biocrusts transplanted to novel environments would maintain higher cover and stability at elevations higher than their origin, compared to at elevations lower than their origin. We expected responses of the visible biocrust cover and soil bacterial components of the biocrust community to be coupled, with later successional taxa showing higher sensitivity to novel environments. Only high elevation sourced biocrusts maintained higher biocrust cover and community stability at their site of origin. Biocrusts from all sources had higher cover and stability in the high elevation garden. Later successional taxa decreased cover in low elevation gardens, suggesting successional reversal with warming. Visible community composition was influenced by both source and transplant environment. In contrast, soil bacterial community composition was not influenced by transplant environments but retained fidelity to the source. Thus, responses of the visible and soil bacterial components of the biocrust community were not coupled. Synthesis: Our results suggest biocrust communities are sensitive to climate change, and loss of species and function can be expected, while associated soil bacteria may be buffered against rapid change.

Keywords: bacterial diversity; biological soil crust; climate change; common garden; community stability; dryland; lichens; mosses.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Non-metric multidimensional scaling ordinations of the visible biocrust cover community (A), the total soil bacterial community at the family level (B) and the soil cyanobacterial only community at the family level (C). Two of three dimensions are shown, with axes labeled, stress < 0.2 in all cases. Signed axis correlation coefficients are given for taxa correlating at r > 0.2, with negative correlations on the left, and positive correlations on the right below each x-axis. No correlations met the criteria for the axis not shown.
FIGURE 2
FIGURE 2
Bar chart of community stability of the visible biocrust community, where higher values indicate greater community stability. Letters above bars indicate differences at p < 0.05 with post-hoc Tukey’s HSD test.
FIGURE 3
FIGURE 3
Relationship between visible biocrust cover compositional change from home source to away source based on home-away temperature differences: total live biocrust visible cover (A), lichen cover (B), moss cover (C), dark cyanobacteria cover (D), light cyanobacteria cover (E) and chlorophyll a (F). See text in methods for the specific calculations. The solid line is a regression linear fit line representing the difference in temperature from the home site in relationship to the change in cover. The R2-value is given in the corner of each panel. Dashed line is at zero, and values above that line show an increase, whereas values below demonstrate a decrease. Error bars are bootstrapped standard error.

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