Jayne Belnap’s research while affiliated with French Geological Survey and other places

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Publications (374)


Compositional resistance and successional reversal after long-term experimental drought in biocrust communities
  • Preprint

January 2024

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98 Reads

María Cristina Rengifo Faiffer

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Lloyd Stark

The effects of severe drought on the stability of dryland ecosystems are still uncertain and it is unknown whether diversity can buffer changes in systems that are adapted to water-limitation. We investigated the effects of long-term induced drought on the composition and maturity of biological soil crusts (biocrusts), as well as tested the hypothesis that diversity promotes stability using compositional resistance as a measure for ecosystem stability. We surveyed an array of 25 sites in the central Colorado Plateau, USA, that included plots that received ambient precipitation and plots that had experienced eight years of ~35% precipitation reduction. We found that biocrusts can maintain broad compositional integrity after long-term climate disturbance. However, biocrust successional reversal still occurred, with a reduction of later successional constituents and an increase of early successional cyanobacterial cover. Our findings indicate that long-term drought could have major impacts on biocrust community stability.


Ecosystem resilience to invasion and drought: Insights after 24 years in a rare never-grazed grassland
  • Article
  • Full-text available

July 2023

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278 Reads

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3 Citations

Global Change Biology

Understanding the resilience of ecosystems globally is hampered by the complex and interacting drivers of change characteristic of the Anthropocene. This is true for drylands of the western US, where widespread alteration of disturbance regimes and spread of invasive non-native species occurred with westward expansion during the 1800s, including the introduction of domestic livestock and spread of Bromus tectorum, an invasive non-native annual grass. In addition, this region has experienced a multi-decadal drought not seen for at least 1200 years with potentially large and interacting impacts on native plant communities. Here, we present 24 years of twice-annual plant cover monitoring (1997-2021) from a semiarid grassland never grazed by domestic livestock but subject to a patchy invasion of B. tectorum beginning in ~1994, compare our findings to surveys done in 1967, and examine potential climate drivers of plant community changes. We found a significant warming trend in the study area, with more than 75% of study year temperatures being warmer than average (1966-2021). We observed a native perennial grass community with high resilience to climate forcings with cover values like those in 1967. In invaded patches, B. tectorum cover was greatest in the early years of this study (1997-2001; ~20%-40%) but was subsequently constrained by climate and subtle variation in soils, with limited evidence of long-term impacts to native vegetation, contradicting earlier studies. Our ability to predict year-to-year variation in functional group and species cover with climate metrics varied, with a 12-month integrated index and fall and winter patterns appearing most important. However, declines to near zero live cover in recent years in response to regional drought intensification leave questions regarding the resiliency of intact grasslands to ongoing aridification and whether the vegetation observations reported here may be a leading indicator of impending change in this protected ecosystem.

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Droughting a megadrought: Ecological consequences of a decade of experimental drought atop aridification on the Colorado Plateau

March 2023

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352 Reads

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14 Citations

Global Change Biology

Global dryland vegetation communities will likely change as ongoing drought conditions shift regional climates towards a more arid future. Additional aridification of drylands can impact plant and ground cover, biogeochemical cycles, and plant-soil feedbacks, yet how and when these crucial ecosystem components will respond to drought intensification requires further investigation. Using a long-term precipitation reduction experiment (35% reduction) conducted across the Colorado Plateau and spanning ten years into a 20+ year regional megadrought, we explored how vegetation cover, soil conditions, and growing season nitrogen (N) availability are impacted by drying climate conditions. We observed large declines for all dominant plant functional types (C3 and C4 grasses and C3 and C4 shrubs) across measurement period, both in the drought treatment and control plots, likely due to ongoing regional megadrought conditions. In experimental drought plots, we observed less plant cover, less biological soil crust cover, warmer and drier soil conditions, and more soil resin-extractable N compared to the control plots. Observed increases in soil N availability were best explained by a negative correlation with plant cover regardless of treatment, suggesting that declines in vegetation N uptake may be driving increases in available soil N. However, in ecosystems experiencing long-term aridification, increased N availability may ultimately result in N losses if soil moisture is consistently too dry to support plant and microbial N immobilization and ecosystem recovery. These results show dramatic, worrisome declines in plant cover with long-term drought. Additionally, this study highlights that more plant cover losses are possible with further drought intensification, and underscore that, in addition to large drought effects on aboveground communities, drying trends drive significant changes to critical soil resources such as N availability, all of which could have long-term ecosystem impacts for drylands.


Dryland mechanisms could widely control ecosystem functioning in a drier and warmer world

July 2022

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891 Reads

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57 Citations

Nature Ecology & Evolution

Responses of terrestrial ecosystems to climate change have been explored in many regions worldwide. While continued drying and warming may alter process rates and deteriorate the state and performance of ecosystems, it could also lead to more fundamental changes in the mechanisms governing ecosystem functioning. Here we argue that climate change will induce unprecedented shifts in these mechanisms in historically wetter climatic zones, towards mechanisms currently prevalent in dry regions, which we refer to as ‘dryland mechanisms’. We discuss 12 dryland mechanisms affecting multiple processes of ecosystem functioning, including vegetation development, water flow, energy budget, carbon and nutrient cycling, plant production and organic matter decomposition. We then examine mostly rare examples of the operation of these mechanisms in non-dryland regions where they have been considered irrelevant at present. Current and future climate trends could force microclimatic conditions across thresholds and lead to the emergence of dryland mechanisms and their increasing control over ecosystem functioning in many biomes on Earth. In drylands, there are unique mechanisms that influence multiple ecosystem processes. In this Perspective, the authors identify these dryland mechanisms and show that they could become more important in non-dryland regions or areas that will become drier in the future. *** FOR ONLINE VIEWING: https://rdcu.be/cSmAD


Current dust emissions obtained with the ECHAM6-HAM2-BIOCRUST model
a, Global dust emissions, considering the mean effect of biocrusts on TFV. b, Bar chart showing regional dust emissions obtained with the ECHAM6-HAM2-BIOCRUST model, considering the mean effect of biocrusts on TFV for the period 1990–2020. Biocrust (BSC), as compared with dust emissions obtained by the standard ECHAM6-HAM2.1 model (ECH) and the median of AeroCom (Acom) models for the different regions (indicated by different colours). Error bars in the BSC model indicate uncertainty range in our estimation (minimum and maximum effects of biocrusts on TFV) whereas error bars in Acom represent the range of values obtained by the different models considered in the AeroCom project.
Impact of biocrusts on current global dust cycling and aerosol radiative effect
a–d, Hypothetical change of total annual dust emission (a), total annual dust deposition (b), mean annual atmospheric dust burden (c) and mean aerosol net radiative effect at the top of the atmosphere (d) upon complete removal of biocrusts. All calculations refer to mean annual values for the period 1990–2020 and are based on the mean effects of biocrusts on TFV. Individual maps showing biocrust effects on dust deposition by sedimentation, wet deposition and dry deposition are presented in Extended Data Fig. 4, and individual maps showing biocrust effects on short-wave and long-wave radiative forcing at the top of the atmosphere are shown in Extended Data Fig. 6.
Effect of global change and the induced biocrust cover loss estimated by 2070 on future dust cycling
a–d, Change in future total annual dust emission (a), total annual dust deposition (b), mean annual atmospheric dust burden (c) and mean annual aerosol net radiative effect at the top of the atmosphere (d). Data calculated according to RCP 2.6. Individual maps showing biocrust effects on dust cycling according to RCP 4.5 and RCP 8.5 are shown in Extended Data Figs. 7 and 8, respectively.
Effect of biocrusts on current global dust cycling and future changes with expected biocrust cover loss
a, Current effect of biocrusts on mean annual global dust emission, dust deposition, atmospheric dust burden and net radiative effect at the top of the atmosphere (period 1990–2020). b, Expected effects of anthropogenically induced biocrust cover loss by 2070 on future mean annual global dust emission, dust deposition, atmospheric dust burden and net radiative effect at the top of the atmosphere (calculated according to RCP 2.6 and RCP 8.5). Increases (decreases) of values are shown in red (black) letters.
Global cycling and climate effects of aeolian dust controlled by biological soil crusts

June 2022

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699 Reads

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66 Citations

Biological soil crusts (biocrusts) cover ~12% of the global land surface. They are formed by an intimate association between soil particles, photoautotrophic and heterotrophic organisms, and they effectively stabilize the soil surface of drylands. Quantitative information on the impact of biocrusts on the global cycling and climate effects of aeolian dust, however, is not available. Here, we combine the currently limited experimental data with a global climate model to investigate the effects of biocrusts on regional and global dust cycling under current and future conditions. We estimate that biocrusts reduce the global atmospheric dust emissions by ~60%, preventing the release of ~0.7 Pg dust per year. Until 2070, biocrust coverage is expected to be severely reduced by climate change and land-use intensification. The biocrust loss will cause an increased dust burden, leading to a reduction of the global radiation budget of around 0.12 to 0.22 W m⁻², corresponding to about 50% of the total direct forcing of anthropogenic aerosols. This biocrust control on dust cycling and its climate impacts have important implications for human health, biogeochemical cycling and the functioning of the ecosystems, and thus should be considered in the modelling, mitigation and management of global change.


What Is a Biocrust? A Refined, Contemporary Definition for a Broadening Research Community

May 2022

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999 Reads

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173 Citations

Biological reviews of the Cambridge Philosophical Society

Studies of biological soil crusts (biocrusts) have proliferated over the last few decades. The biocrust literature has broadened, with more studies assessing and describing the function of a variety of biocrust communities in a broad range of biomes and habitats and across a large spectrum of disciplines, and also by the incorporation of biocrusts into global perspectives and biogeochemical models. As the number of biocrust researchers increases, along with the scope of soil communities defined as ‘biocrust’, it is worth asking whether we all share a clear, universal, and fully articulated definition of what constitutes a biocrust. In this review, we synthesize the literature with the views of new and experienced biocrust researchers, to provide a refined and fully elaborated definition of biocrusts. In doing so, we illustrate the ecological relevance and ecosystem services provided by them. We demonstrate that biocrusts are defined by four distinct elements: physical structure, functional characteristics, habitat, and taxonomic composition. We describe outgroups, which have some, but not all, of the characteristics necessary to be fully consistent with our definition and thus would not be considered biocrusts. We also summarize the wide variety of different types of communities that fall under our definition of biocrusts, in the process of highlighting their global distribution. Finally, we suggest the universal use of the Belnap, Büdel & Lange definition, with minor modifications: Biological soil crusts (biocrusts) result from an intimate association between soil particles and differing proportions of photoautotrophic (e.g. cyanobacteria, algae, lichens, bryophytes) and heterotrophic (e.g. bacteria, fungi, archaea) organisms, which live within, or immediately on top of, the uppermost millimetres of soil. Soil particles are aggregated through the presence and activity of these often extremotolerant biota that desiccate regularly, and the resultant living crust covers the surface of the ground as a coherent layer. With this detailed definition of biocrusts, illustrating their ecological functions and widespread distribution, we hope to stimulate interest in biocrust research and inform various stakeholders (e.g. land managers, land users) on their overall importance to ecosystem and Earth system functioning.


Fig. 1. Normalized and standardized climate analyses from 1966 to 2019 from the Canyonlands Needles Visitor Center, including normalized mean annual temperature (Air Temp) (Top), normalized annual precipitation (Precip) (Middle), and SPEI (Bottom). Normalized measurements were calculated as [(Observed À Mean)/SD]. For SPEI, positive numbers indicate water surplus compared to the mean, whereas negative numbers indicate water deficit compared to the mean. The red hashed box outlines the period of this study, from 1996 to 2019.
Fig. 2. GAMMs of long-term changes in proportional (Prop.) cover of late-successional biocrust components across different bunchgrass communities: C 3 -dominated plots (C 3 ), C 3 -dominated plots + Bromus (C 3 + B), C 4 -dominated plots (C 4 ), and C 4 -dominated plots + Bromus (C 4 + B) (n = 3 plots for each cover type for a total of 12 plots) for N-fixing lichens (A), other lichens (B), moss (C), and total biocrust cover (lichens + mosses) (D) from 1996 to 2019 and by dominant grass community cover type. Data points from 1967 were originally recorded by Kleiner and Harper (31). Summary statistics for GAMMs are presented in SI Appendix, Table S2. Error bars represent ±1 SE.
Decline in biological soil crust N-fixing lichens linked to increasing summertime temperatures

April 2022

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352 Reads

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36 Citations

Proceedings of the National Academy of Sciences

Significance Across many global drylands, biocrusts form a protective barrier on the soil surface and fill many critical roles in these harsh yet fragile environments. Previous short-term research suggests that climate change and invasive plant introduction can damage and alter biocrust communities, yet few long-term observations exist. Using a globally unique long-term record of continuous biocrust surveys from a rare never-grazed, protected grassland on the US Colorado Plateau, we found lichen species diversity and cover to be negatively correlated with increasing summer air temperatures, while moss species showed more sensitivity to variation in precipitation and invasive grass cover. These results suggest that dryland systems may be at a critical tipping point where ongoing warming could result in biological soil crust degradation.


Biocrust community composition, abundance and effects on soil aggregate stability
a, Non-metric multidimensional scaling (NMDS) of biocrust photoautotroph communities using a Bray–Curtis distance matrix. Warming and the legacy of both mechanical and climate disturbance are affecting biocrust community composition (R² = 0.5, P = 0.001). Site was not affecting community composition (R² = 0.1, P = 0.17). Undisturbed control plots group together because of an abundance of late successional biocrusts, such as the moss species Syntrichia caninervis. The legacy of altered precipitation (alt. ppt.) and mechanical trampling is causing unwarmed disturbed plots to group together, driven by the abundance of dark-pigmented cyanobacteria (Dark Cyanobacteria). Ongoing warming causes plots to cluster because the early successional light-pigmented cyanobacteria (Light Cyanobacteria) dominate. b, Mean (± standard error) moss surface cover through time for each treatment. Pretreatment measurements were collected before treatments started (1996 for Trample, 2005 for all other treatments). The 2011/2012 measurements were collected after altered precipitation (2012) and physical trampling (2011) ceased, but warming was ongoing. This timing captures the effects of treatments on the moss community. Measurements taken in 2018 were six years after the altered precipitation disturbance ceased and seven years after mechanical disturbance ceased. This timing captures the recovery of the moss from the mechanical disturbance and the altered precipitation disturbance with and without the warming treatment, which was always ongoing. Letters indicate significant differences at P < 0.05. Warmed + alt. ppt. data were excluded from statistical analyses because in 2011/2012 and in 2018 there was no moss present. c, Frequency of scaled soil stability class values (with a stability class of 1 being the least stable and a score of 6 being the most stable) by treatment. Soil stability under warming and under warming with the legacy of altered precipitation differed from the undisturbed controls. *** indicates significant difference at P < 0.001. * indicates significant difference at P < 0.05. These data show that the warming-induced transition of biocrust communities to early successional states resulted in significant soil destabilization via reductions in soil aggregate stability.
Biocrust recovery varies by disturbance type and functional group
a–e, Predicted posterior distributions from the Bayesian multilevel model showing treatment effects on biocrust functional groups under (a) undisturbed control, (b) ongoing warming, (c) ongoing warming and the legacy of altered precipitation, (d) legacy of altered precipitation and (e) legacy of physical trampling. a, Undisturbed controls have more lichens (4% ± 0.8 cover, mean cover ± s.d.) and mosses (19% ± 3 cover) than any of the disturbance or warming treatments. Active warming (b,c) decreases late successional lichen cover (warmed cover: 2% ± 0.7; warmed + alt. ppt. cover: 0.1% ± 0.7) and moss cover (warmed cover: 4% ± 1; warmed + alt. ppt. cover: 0), and shows replacement by light-pigmented cyanobacteria (warmed cover: 47% ± 9; warmed + alt. ppt. cover: 63% ± 12). Under the legacy of disturbance, dark-pigmented cyanobacteria (d, alt. ppt. cover: 29% ± 6; e, trample cover: 20% ± 3) have recovered to or surpassed the control levels (a, undisturbed cover: 23% ± 3). Under the legacy of disturbance, lichen (d, alt. ppt. cover: 2% ± 0.8; e, trample cover: 0.3% ± 0.3) and moss (d, alt. ppt. cover: 1% ± 0.5; e, trample cover: 1.3 % ± 1) have not recovered to undisturbed control levels, but are higher than under the combination of warming and altered precipitation.
Moss shows no signs of recovery under warming
a–c, Interannual community dissimilarity calculated as the difference in Euclidean distance among years starting in 2012 (when the altered precipitation treatment ceased) with generalized additive models fitted. Standard error around the model fit is shown in coloured shading. The x-axis interval indicates increasing time lags: for example, 1 year time lag versus 6 year time lag. a, Altered precipitation has a strongly significant positive slope, indicating biocrust succession is ongoing. Treatments with ongoing warming (b, Warmed and c, Warmed + alt. ppt.) have relatively flat slopes, although there is a significant relationship between community dissimilarity and interval, indicating that the biocrust community is changing a small amount at a slow pace, which may be due to increases in early successional light-pigmented cyanobacteria. d–f, Change in moss cover relative to pretreatment moss cover from 2005. Horizontal dashed lines indicate where cover would be equal to pretreatment levels (that is, 100%). Points above the horizontal line indicate that moss cover is higher than mean pretreatment levels, whereas points below indicate that cover is lower than pretreatment levels. Generalized additive models show change in moss cover as the response and year as the predictor. Standard error around the model fit is shown in coloured shading. d, Altered precipitation drove decreases in moss cover until the treatment ceased in 2012, when the slope becomes positive indicating that moss declined and then remained low during the altered precipitation treatment but that, when that climate stressor ended in 2012, moss recovery began and is ongoing. e, Warming had a strongly significant negative slope, indicating that moss abundance is negatively impacted by warming. Points above the horizontal line in early years indicate that moss cover in some individual plots was higher than the mean pretreatment levels across all plots. f, Under Warmed + alt. ppt. there is a negative slope from 2007–2010 due to massive moss mortality; then the slope flattens, as there is no change in moss cover because mosses are absent and are not recovering.
Biocrusts mediate a new mechanism for land degradation under a changing climate

January 2022

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377 Reads

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49 Citations

Nature Climate Change

Global concerns for desertification have focused on the slow recovery of extensive and expanding drylands following disturbance, which may be exacerbated by climate change. Biological soil crusts (biocrusts) are photosynthetic soil communities found in drylands worldwide, which are central to the stability and resilience of dryland ecosystems, but vulnerable to global change. Here we use multiple decade-long experiments to investigate the consequences of climate and land-use change on biocrusts and soil stability. Biocrusts recovered rapidly under ambient temperatures but warming interacted with the precipitation disturbance to halt recovery. Moreover, warming alone caused losses of mosses, lichens and soil stability. Our results present a new mechanism contributing to land degradation in drylands whereby warming drives a state shift in biocrust communities, which degrades soil stability. The synergistic effects of climate and land-use change co-occur globally and our results support projections of increased desertification and lowered dryland resilience under warming.


Estimated marginal mean (±SE) of emergence (hoop house) or early establishment (field) frequency, magnitude (%; scaled to viability), and timing (scaled t50 or Wmax) for native and non‐native (bold labels) grasses on biocrusts (types pooled) from Sonoran Desert hoop house (a–c) and field (d–f) environments and Colorado Plateau hoop house trials (g–i). Smaller scaled timing values indicate more rapid emergence. Different lowercase letters within a panel indicate significant differences (Tukey adjustments, α = 0.05). Type II chi‐squared test results of mixed‐effects models given in Table 2.
Estimated marginal mean (±SE) of emergence (hoop house) or early establishment (field) frequency, magnitude (%; scaled to viability), and timing (scaled t50 or Wmax) for native and non‐native (bold labels) grasses on bare soil, light biocrusts, and dark biocrusts from Sonoran Desert hoop house (a–c) and field (d–f) environments and Colorado Plateau hoop house (g–i) and field (j–k) environments. Smaller scaled timing values indicate faster emergence. Different lowercase letters within a panel indicate significant differences (Tukey adjustments, α = 0.05). Panels missing lowercase letters had comparisons that were too complicated to represent here, but can be found in Appendix S2. Type II chi‐squared test results of mixed‐effects models given in Table 3.
Estimated marginal mean (±SE) of emergence magnitude (%; scaled to viability; a), timing (scaled t50; b) and ˜24‐h water absorption (WA; mg; c) of native grasses on bare soil, light biocrusts, and dark biocrusts from Colorado Plateau (CP) and Sonoran Desert (SD) source regions in a greenhouse environment. Different lowercase letters within a panel indicate significant differences (Tukey adjustments, α = 0.05). Type II chi‐squared test results of mixed‐effects models given in Table 4.
Proportion of emerged native grass seeds (greenhouse environment) where seeds had their callus/seed base on bare soil micropatches or beneath the surface of any surface type in pots with bare soil, light, and dark biocrusts from the Colorado Plateau (CP) and Sonoran Desert (SD) source regions.
Native and non-native grass species included in analyses by study setting (field, hoop house, green- house), location (Sonoran Desert, SD; Colorado Plateau, CP; University of Arizona, UA), and season (only those with sufficient emergence to include in analyses are shown).
Biocrusts do not differentially influence emergence and early establishment of native and non‐native grasses

December 2021

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70 Reads

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5 Citations

Biological soil crusts (biocrusts) cover the soil surface of global drylands and interact with vascular plants. Biocrusts may influence the availability and nature of safe sites for plant recruitment and the susceptibility of an area to invasion by non‐native species. Therefore, to investigate the potential role of biocrusts in invasive species management, we sought to determine whether native and non‐native grass recruitments in two North American deserts were differentially affected by biocrusts. We conducted a series of coordinated experiments in field, semi‐controlled, and controlled environment settings in the Colorado Plateau and Sonoran Desert using contrasting biocrust and grass functional types. Experiments in field environments focused on early establishment of grass seedlings whereas controlled environment experiments focused on seedling emergence. Within each experiment, we compared responses (frequency, magnitude, and timing of emergence/establishment) both across species (biocrust types pooled) and across species and levels of biocrust development. Native grasses varied by experiment and included Aristida purpurea, A. purpurea var. longiseta, Bouteloua gracilis, and Vulpia octoflora. Emergence of non‐native Bromus tectorum was similar to that of native grasses on the Colorado Plateau. Differences in emergence of native vs. non‐native grasses in the Sonoran Desert were species‐ and response‐specific. Emergence of the non‐native Bromus rubens was comparable to that of native grasses whereas emergence frequency and magnitude of the non‐native Pennisetum ciliare was lower compared with two of four native species. Within a grass species, emergence was higher and faster on bare soil compared with biocrusts in the Sonoran Desert semi‐controlled and greenhouse environment experiments. However, the pattern was not consistent across other experiments. When comparing across Colorado Plateau and Sonoran Desert biocrusts in greenhouse experiments, we found that emergence of native grasses was higher on Colorado Plateau biocrusts. Based on the lack of consistent results across our experiments, grass recruitment on biocrusts appears to be driven more by species‐specific traits than species provenance. Our greenhouse experiments suggest that biocrust topographic relief is an important safe site trait influencing plant recruitment.


FIGURE 2 | Bacterial composition, diversity, and biomass across the datasets. (A) Canonical analysis of principal coordinates ordination of sequence datasets. Axes labels denote the percent variation explained by principal components. Arrows indicate the direction and magnitude of the variance explained by field site and manipulation treatments. (B) Bacterial diversity. Diversity was assessed by the non-parametric Shannon's diversity index. Boxplots show the mean (solid bar) and interquartile range of the values. Each individual sample is represented by the black points. Samples labeled with different letters were significantly different by ANOVA testing of means followed by a post hoc Tukey-Kramer test. (C) Bacterial abundance as determined by qPCR of bacterial 16S rRNA genes. Boxplots show the mean (solid bar) and interquartile range of the values. Each individual sample is represented by the black points. No significant differences between datasets were identified.
FIGURE 3 | Field site biogeography. For each dataset the control samples were compared to investigate if the normal state of the soil microbiome differed among sites. (A) NMDS clustering. The stress value of the ordination is indicated. Ellipses indicate the 95% confidence interval of the group centroids. PERMANOVA statistical testing identified field site as a significant factor in discriminating the bacterial communities (P = 0.001). (B) Phylum level taxonomic bins in the datasets. Stacked bar graphs representing the relative abundance of the six most predominant bacterial phyla in the datasets. Each phylum accounted for at least 1% of the recovered sequences across the individual samples. The remaining taxa were assigned to the category "other." Four phyla were identified as significantly different in relative abundance between sites, Actinobacteria, Bacteroidetes, Cyanobacteria, and Proteobacteria. (C) Ternary diagram of differentially abundant ASVs. Each point represents an ASV identified as significantly different in relative abundance among the sites. Points are colored by the Phylum to which they belong. A full list of the differentially abundant ASVs are listed in Supplementary Table 1.
FIGURE 5 | Influence of habitat patch on community composition. Canonical analysis of principal coordinates ordination of sequence datasets for each treatment. Axes labels denote the percent variation explained by principal components. Ellipses indicate the 95% confidence interval of the group centroids. A table of PERMANOVA statistical results of between group comparisons is presented in Supplementary Table 3.
Resistance, Resilience, and Recovery of Dryland Soil Bacterial Communities Across Multiple Disturbances

April 2021

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115 Reads

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14 Citations

Dryland ecosystems are sensitive to perturbations and generally slow to recover post disturbance. The microorganisms residing in dryland soils are especially important as they contribute to soil structure and nutrient cycling. Disturbance can have particularly strong effects on dryland soil structure and function, yet the natural resistance and recovery of the microbial components of dryland soils has not been well documented. In this study, the recovery of surface soil bacterial communities from multiple physical and environmental disturbances is assessed. Samples were collected from three field sites in the vicinity of Moab, UT, United States, 6 to 7 years after physical and climate disturbance manipulations had been terminated, allowing for the assessment of community recovery. Additionally, samples were collected in a transect that included three habitat patches: the canopy zone soils under the dominant shrubs, the interspace soils that are colonized by biological soil crusts, and edge soils at the plot borders. Field site and habitat patch were significant factors structuring the bacterial communities, illustrating that sites and habitats harbored unique soil microbiomes. Across the different sites and disturbance treatments, there was evidence of significant bacterial community recovery, as bacterial biomass and diversity were not significantly different than control plots. There was, however, a small number of 16S rRNA gene amplicon sequence variants that distinguished particular treatments, suggesting that legacy effects of the disturbances still remained. Taken together, these data suggest that dryland bacterial communities may possess a previously unappreciated potential to recover within years of the original disturbance.


Citations (81)


... Moderate resistance and low cheatgrass cover for hypermesic areas that are summer moist and have very low precipitation may indicate low climate suitability or soil limitations across these deserts (e.g. Duniway et al., 2023). ...

Reference:

Indicators of ecological resilience and invasion resistance − accounting for precipitation seasonality and climate change in southwestern U.S. drylands
Ecosystem resilience to invasion and drought: Insights after 24 years in a rare never-grazed grassland

Global Change Biology

... For example, Phillips et al. (2022) found that rainfall frequency significantly reshaped biocrust community composition and moss cover. Rainfall event size and annual rainfall amount also play very important roles on biocrust dynamics (Coe et al. 2012;Kwiecinski et al. 2020;Finger-Higgens et al. 2023). On the other hand, nonhydrological factors such as temperature, soil texture, disturbance (e.g., grazing, fire), and vascular plants also dramatically impact biocrusts (Fischer and Subbotina 2014;Bowker et al. 2016;Phillips et al. 2022). ...

Droughting a megadrought: Ecological consequences of a decade of experimental drought atop aridification on the Colorado Plateau

Global Change Biology

... Desert ecosystems are characterized by water being the limiting resource for growth (Collins et al. 2014;Grünzweig et al. 2022). As such, pulses of water input into the system result in increased primary productivity, a process described as the pulse-reserve paradigm (Noy-Meir 1973). ...

Dryland mechanisms could widely control ecosystem functioning in a drier and warmer world
  • Citing Article
  • July 2022

Nature Ecology & Evolution

... Previous studies on the effects of soil and water conservation under plant communities and biological crust cover have mainly focused on single factors. However, under natural conditions, biological crusts are often distributed in the gaps between plants or under the canopy, co-covering the ground surface with plants and working together to prevent soil erosion, reduce the kinetic energy of rainfall, and resist raindrop impact [4]. According to relevant studies, slopes covered by both plants and biological crusts still exhibit significant benefits in reducing runoff and sediment [5,6]. ...

What Is a Biocrust? A Refined, Contemporary Definition for a Broadening Research Community

Biological reviews of the Cambridge Philosophical Society

... For example, biocrusts can contribute as much as 40-85% of total fixed nitrogen and 15% of net primary production by terrestrial organisms globally (Rodriguez-Caballero et al. 2018). Understanding the distribution of biocrusts is therefore critical to accurately assess their ecological impacts and how ongoing global environmental change will affect the crucial functions and services they provide Rodriguez-Caballero et al. 2022). ...

Global cycling and climate effects of aeolian dust controlled by biological soil crusts

... Ecohydrological models that solely simulate ecohydrological processes do not consider other environmental factors like soil nutrients (Ochoa-Hueso et al. 2011), air temperature (Kidron and Zohar 2014;Finger-Higgens et al. 2022) and potential incoming solar radiation (Rodríguez-Caballero et al. 2019;Blanco-Sacristán et al. 2021), which can play important roles in determining biocrust distribution at different aspects and scales (Bowker et al. 2016). Rodriguez-Caballero et al. (2018) found that mean temperatures during the driest quarter of the year, day-night fluctuations in temperature, and pasture coverage, in addition to precipitation during the warmest quarter, to be the most important factors affecting biocrust cover. ...

Decline in biological soil crust N-fixing lichens linked to increasing summertime temperatures

Proceedings of the National Academy of Sciences

... Legend includes phylum of family. and Belnap 2015), which has the potential to contribute to land degradation (Phillips et al. 2022). Our study shows that biocrust can be largely affected faster than previously thought, with the greatest response in the cyanobacteria composition (Figure 7), likely causing a reduction in functionality of these crusts (Fernandes et al. 2018). ...

Biocrusts mediate a new mechanism for land degradation under a changing climate

Nature Climate Change

... Green macroalgae show a tremendously wide variability of size, shape, and habit, being the most heterogeneous group of photoautotrophic protists on earth [68]. At least 7000 species are known, being the most diverse of the algal groups [69]. This type of algae can be found on all continents and curiously, the earliest evidence of green algae species comes from fossils a billion years old [69]. ...

Cyanobacteria and algae
  • Citing Chapter
  • January 2021

... Other abiotic factors, for example, topography, spatiotemporal patterns of soil erosion and soil characteristics (such as moisture and texture), significantly modulate the effects of climate on the structure and functioning of these ecosystems (Wainwright, 2009). Biotic factors, such as vegetation cover, species diversity and spatial distribution of plants and microbial communities, also influence the functioning of dryland ecosystems Steven et al., 2021;Turnbull et al., 2008). Their climatic characteristics, and the fact that their scarce resources limit biological activity for most of the year, make the processes driving the functioning of drylands rather unique compared with other ecosystems. ...

Resistance, Resilience, and Recovery of Dryland Soil Bacterial Communities Across Multiple Disturbances

... In this river, the effects of biocontrol on vegetation were shown to be strongly affected by the local flooding regime, which is a key driver of vegetation in riparian systems. Along the Colorado River near Moab UT, González et al. (2020b) examined the plant community response to a second cycle of defoliation (i.e., a new defoliation event after a first cycle of defoliation and subsequent recovery of Tamarix canopy, typical of plant-insect interactions) and reported an increase in the cover of the native shrub Salix exigua and some fluctuations in herbaceous species cover, but overall, little change in species diversity during this time. ...

Riparian Plant Communities Remain Stable in Response to a Second Cycle of Tamarix Biocontrol Defoliation
  • Citing Article
  • October 2020

Wetlands