Functional Resilience Research Articles

Profiles of resilient psychosocial function during three isolated ski expeditions in the High Arctic.

To successfully complete a Polar expedition individuals and teams must respond resiliently to the environmental, psychological, and social demands they face. In this study we examined profiles of resilient function in seven people from three expeditions in the High Arctic. Using a structured daily diary, participants reported on experiences of physical health (morning and evening), affect, team cohesion, performance, and potential explanatory factors including sleep, demand appraisals, events, and coping strategies. Notable intra- and inter-individual variability was observed in daily reports and all profiles could be interpreted as representing resilient function. A number of significant relationships were found between markers of resilient physical and psychosocial function and potential explanatory variables. For example, there was much more daily variability in an individual's reporting of positive affect than prior research might imply, and what prior research designs could capture. Further, while negative affect tended to remain low and stable, our findings reveal that even minor and infrequent increases in negative emotions were significantly associated with other variables in the network. Finally, across the expedition period individual coping resources consistently exceeded demands, suggesting that individuals viewed the expedition as a challenge and not a threat. More broadly, these findings inform efforts to monitor, and maintain resilience when operating in Polar and other extreme settings.

Elevated temperature alters microbial communities, but not decomposition rates, during 3 years of in situ peat decomposition.

Peatlands are large carbon sinks with primary production outpacing decomposition of organic matter. Results from the Spruce and Peatland Responses Under Changing Environments (SPRUCE) study show net losses of organic matter and increased greenhouse gas production from peatlands in response to whole-ecosystem warming. Here, we investigated how warming and elevated CO2 impact peat microbial communities and peat soil decomposition rates and characterized microbial communities through amplicon sequencing and compositional changes across four depth increments. Microbial diversity and community composition were significantly impacted by soil depth, temperature, and CO2 treatment. Bacterial/archaeal α-diversity increased significantly with increasing temperature, and fungal α-diversity was lower under elevated CO2 treatments. Trans domain microbial networks showed higher complexity of microbial communities in decomposition ladder depths from the warmed enclosures, and the number of highly connected hub taxa within the networks was positively correlated with temperature. Methanogenic hubs were identified in the networks constructed from the warmest enclosures, indicating increased importance of methanogenesis in response to warming. Microbial community responses were not however reflected in measures of peat soil decomposition, as warming and elevated CO2 had no significant short-term effects on soil mass loss or composition. Regardless of treatment, on average only 4.5% of the original soil mass was lost after 3 years and variation between replicates was high, potentially masking treatment effects. Previous results at the SPRUCE experiment have shown warming is accelerating organic-matter decomposition and CO2 and CH4 production, and our results suggest these changes may be driven by warming-induced shifts in microbial communities. IMPORTANCE Microbial community changes in response to climate change drivers have the potential to alter the trajectory of important ecosystem functions. In this paper, we show that while microbial communities in peatland systems responded to manipulations of temperature and CO2 concentrations, these changes were not associated with similar responses in peat decomposition rates over 3 years. It is unclear however from our current studies whether this functional resiliency over 3 years will continue over the longer time scales relevant to peatland ecosystem functions.

Development and Implementation of DIALOG+S in the School Setting as a Tool for Promoting Adolescent Mental Well-Being and Resilience in a Post-Armed Conflict Area in Colombia: Exploratory Cluster Randomized Controlled Trial.

Educational settings are ideal for promoting mental well-being and resilience in children. The challenges of the COVID-19 pandemic made evident the important role that teachers and school counselors play in the mental health of their students. Therefore, it is imperative to develop and implement cost-effective interventions that allow them to identify and address mental health problems early, especially in post-armed conflict areas, to reduce the burden of mental disorders in this population. This study aimed to adapt an existing patient-focused digital intervention called DIALOG+ from an adult clinical setting to an adolescent educational setting and to assess the feasibility, acceptability, and estimated effect of implementing this intervention as a tool for promoting quality of life, mental well-being, and resilience. We conducted an exploratory mixed methods study in 2 public schools in postconflict areas in Tolima, Colombia. This study was conducted in 3 phases. In the adaptation phase, focus groups were conducted with students and teachers to identify changes required in DIALOG+ for it to be used in the school setting. The exploration phase consisted of an exploratory cluster randomized controlled trial. A total of 14 clusters, each with 1 teacher and 5 students, were randomly allocated to either the experimental (DIALOG+S) group or to an active control group (counseling as usual). Teachers in both groups delivered the intervention once a month for 6 months. Through screening scales, information was collected on mental health symptoms, quality of life, self-esteem, resilience, and family functionality before and after the intervention. Finally, the consolidation phase explored the experiences of teachers and students with DIALOG+S using focus group discussions. The changes suggested by participants in the adaptation phase highlighted the central importance of the school setting in the mental health of adolescents. In the exploratory phase, 70 participants with a mean age of 14.69 (SD 2.13) years were included. Changes observed in the screening scale scores of the intervention group suggest that the DIALOG+S intervention has the potential to improve aspects of mental health, especially quality of life, resilience, and emotional symptoms. The consolidation phase showed that stakeholders felt that using this intervention in the school setting was feasible, acceptable, and an enriching experience that generated changes in the perceived mental health and behavior of participants. Our results are encouraging and show that the DIALOG+S intervention is feasible and acceptable as a promising opportunity to promote well-being and prevent and identify mental health problems in the school context in a postconflict area in Colombia. Larger, fully powered studies are warranted to properly assess the efficacy and potential impact of the intervention and to refine implementation plans. International Standard Randomised Controlled Trial Number (ISRCTN) registry ISRCTN14396374; https://www.isrctn.com/ISRCTN14396374. RR2-10.2196/40286.

Associations of resilience, white matter topological organization, and cognitive functions in first-episode, drug-naïve schizophrenia patients: A moderated mediation analysis

BackgroundCognitive deficits are core symptoms of schizophrenia (SZ) and are associated with impaired resilience to stress. Different cognitive functions appeared to be interrelated, and the mechanism may involve neural alterations. The disrupted topological organization indicated abnormalities in the segregation and integration of brain networks that support various cognitive processes in SZ patients. Therefore, this study aimed to assess the direct and indirect effects of resilience on cognitive functions. We hypothesized that topological properties would moderate these associations. MethodsForty-nine SZ patients and fifty-two healthy controls (HCs) were recruited in this study. The Connor-Davidson Resilience Scale and the MATRICS Consensus Cognitive Battery were used to examine resilience and cognitive functions, respectively, and a graph theory approach was used to assess white matter topological organization. ResultsCompared to HCs, SZ patients showed lower levels of resilience and cognitive functions in multiple domains as well as abnormal global properties and nodal metrics. In addition, shorter characteristic path length was associated with a stronger indirect effect of resilience on working memory through processing speed in SZ patients. ConclusionCharacteristic path length might moderate the mediating effects of processing speed in the relationship between resilience and working memory in schizophrenia patients.

3.47 Resilience and Amygdala Function in Healthy Adolescents

3.47 Resilience and Amygdala Function in Healthy Adolescents

Understanding the loss in community resilience due to hurricanes using Facebook Data

Significant negative impacts are observed in productivity, economy, and social wellbeing because of the reduced human activity due to extreme events. Community resilience is an important and widely used concept to understand the impacts of an extreme event to population activity. Resilience is generally defined as the ability of a system to manage shocks and return to a steady state in response to an extreme event. In this study, aggregate location data from Facebook in response to Hurricane Ida are analyzed. Using changes in the number of Facebook users before, during, and after the disaster, community resilience is quantified as a function of the magnitude of impact and the time to recover from the extreme situation. Based on the resilience function, the transient loss of resilience in population activity is measured for the affected communities in Louisiana. The loss in resilience of the affected communities are explained by three types of factors, including disruption in physical infrastructures, disaster conditions due to hurricanes, and a community's socio-economic characteristics. A greater loss in community resilience is associated with factors such as disruptions in power and transportation services and disaster conditions. Socioeconomic disparities in loss of resilience are found with respect to a community's median income. Understanding community resilience using decreased population activity levels due to a disaster and the factors associated with losses in resilience will enable us improve hazard preparedness, enhance disaster management practices, and create better recovery policies towards strengthening infrastructure and community resilience.

Effects of in situ Fe oxide precipitation on As stabilization and soil ecological resilience under salt stress

Iron (Fe) oxide precipitation is a promising method for stabilizing arsenic (As) in contaminated soils; however, the addition of salts during the process can negatively affect soil functions. This study investigated the effects of in situ Fe oxide precipitation on As stabilization and the impact of salt stress on soil functions and microbial communities. Fe oxide precipitation reduced the concentration of bioaccessible As by 84% in the stabilized soil, resulting in the formation of ferrihydrite and lepidocrocite, as confirmed by XANES. Nevertheless, an increase in salt stress reduced barley development, microbial enzyme activities, and microbial diversity compared to those in the original soil. Despite this, the stabilized soil exhibited natural resilience and potential for enhanced microbial adaptations, with increased retention of salt-tolerant bacteria. Washing the stabilized soil with water restored EC1:5 to the level of the original soil, resulting in increased barley growth rates and enzyme activities after 5-d and 20-week incubation periods, suggesting soil function recovery. 16 S rRNA sequencing revealed the retention of salt-tolerant bacteria in the stabilized soil, while salt-removed soil exhibited an increase in Proteobacteria, which could facilitate ecological functions. Overall, Fe oxide precipitation effectively stabilized soil As and exhibited potential for restoring the natural resilience and ecological functions of soils through microbial adaptations and salt removal.

A Resilience Approach for Diagnosing and Predicting HBV-Related Diseases Based on Blood Tests

Chronic hepatitis B virus (HBV) infection, which threatens global public health, is a major contributor to liver-related morbidity and mortality. Examinations for liver diseases related to chronic HBV infection—including laboratory tests, ultrasounds, computed tomography (CT), and liver biopsies—may take up medical resources, particularly since they overlap in most instances. Thus, there is an urgent need to establish an economical and effective diagnosis method in order to streamline the medical process for HBV-related diseases. Using complex network models constructed based on clinical blood tests, we provide such a method by defining the novel measure of functional resilience to assess patients’ liver conditions. By combining network models and dynamics, we discovered the pivotal items and their corresponding thresholds, which can guide further research on preventing disease deterioration in critical states of these diseases. The macro-averaged precision of our method, functional resilience, is 84.74%, whereas the macro-averaged precision of physicians’ experience without assistance from imaging or biopsy is 55.63%. From an economic perspective, our approach could save the equivalent of at least 30 USD per visit for most Chinese patients and at least 400 USD per visit for most US patients, compared with general diagnostic methods. Globally, this will add to savings of at least 10.5 billion USD annually. Our method can comprehensively evaluate the condition of patients’ livers and help avert the waste of medical resources during the diagnosis of liver disease by reducing excessive imaging exams.

Classification of All t-Resilient Boolean Functions with t + 4 Variables

We apply Siegenthaler’s construction, along with several techniques, to classify all (n−4)-resilient Boolean functions with n variables, for all values of n ≥ 4, up to the extended variable-permutation equivalence. We show that, up to this equivalence, there are only 761 functions for any n larger than or equal to 10, and for smaller values of n, i.e., for n increasing from 4 to 9, there are 58, 256, 578, 720, 754, and 760 functions, respectively. Furthermore, we classify all 1-resilient 6-variable Boolean functions and show that there are 1 035 596 784 such functions up to the extended variable-permutation equivalence.

Detecting functional rarity in a hyperdiverse Amazonian dung beetle assemblage

The functional space of an ecological community is not evenly filled by its species. Instead, it is usually divided into areas of high species density, where species with common combinations of functional traits are grouped into species rich clusters, while lower density areas are filled with species poor clusters or isolated species with uncommon or unique combinations of traits. Species whose functional traits differ from those of the rest of the community are expected to play distinct ecological roles and over-contribute to ecosystem functionality. Sampling methods used to characterize arthropod assemblages usually target subsets of the community and filter species based on their functional traits, reducing the probability of detecting species with uncommon combinations of functional traits. Consideration of these species is particularly important for characterizing the functional structure and resilience of ecological communities inhabiting threatened ecosystems such as lowland Amazonian rainforests, in which dung beetles play multiple ecological roles and are commonly used as ecological indicators. In this study, we characterize the functional structure of a diverse Amazonian dung beetle assemblage using five different sampling methods (dung- and carrion-baited pitfalls, dung-baited aerial traps, flight interception traps, and visual transects) and 18 different functional traits. Our main objective is to assess the suitability of these methods for the detection of the functional volume of the assemblage and of species with uncommon or unique combinations of functional traits that are expected to support vulnerable ecosystem functions. We found that, although dung-baited pitfalls (DPF) detected the highest species richness and proportion of the functional volume, they did not detect 30 species out of 103 and over 20% of the functional volume of the assemblage. The additional sampling methods captured more species with uncommon combinations of functional traits than expected by chance, some of which were trophic specialists not attracted to DPFs. The use of complementary sampling methods resulted in a better characterization of the functional structure of dung beetle communities inhabiting both terra firme and floodplain Amazonian rainforests and revealed functional resilience and rare species playing ecological roles overlooked by DPFs. The consideration of these species is of great importance given the threats that tropical rainforests face worldwide.

Industry 4.0 digital transformation and opportunities for supply chain resilience: a comprehensive review and a strategic roadmap

Despite interest in opportunities that Industry 4.0 offers for Supply Chain Resilience (SCR), little is known about the underlying mechanisms for such contributions. The study develops a roadmap that explains how supply chains can capitalize on Industry 4.0 SCR functions. The study conducted a content-centric literature review and identified 16 functions through which Industry 4.0 enhances SCR. Results reveal that the Industry 4.0 SCR functions identified are highly interrelated, and supply chain members should align their digitalization strategies with the sequence in which Industry 4.0 delivers these functions. Industry 4.0 contribution to SCR first involves delivering data-centric functions such as supply chain automation, information and communication quality, process monitoring, and visibility. Industry 4.0 further allows supply chain partners to collaborate better on improving supply chain mapping, complexity management, and innovation capabilities. Through these functions and by increasing transparency, flexibility, and agility of supply chain operations, Industry 4.0 delivers more dependent but consequential resilience functions such as supply chain responsiveness, adaptive capability, and continuity management. The roadmap further explains how each pair of Industry 4.0 SCR functions mutually interact while contributing to the overall resilience of the supply chain. The study discusses possible implications and outlines important avenues for future research.

Lysosomes mediate the mitochondrial UPR via mTORC1-dependent ATF4 phosphorylation

Lysosomes are central platforms for not only the degradation of macromolecules but also the integration of multiple signaling pathways. However, whether and how lysosomes mediate the mitochondrial stress response (MSR) remain largely unknown. Here, we demonstrate that lysosomal acidification via the vacuolar H+-ATPase (v-ATPase) is essential for the transcriptional activation of the mitochondrial unfolded protein response (UPRmt). Mitochondrial stress stimulates v-ATPase-mediated lysosomal activation of the mechanistic target of rapamycin complex 1 (mTORC1), which then directly phosphorylates the MSR transcription factor, activating transcription factor 4 (ATF4). Disruption of mTORC1-dependent ATF4 phosphorylation blocks the UPRmt, but not other similar stress responses, such as the UPRER. Finally, ATF4 phosphorylation downstream of the v-ATPase/mTORC1 signaling is indispensable for sustaining mitochondrial redox homeostasis and protecting cells from ROS-associated cell death upon mitochondrial stress. Thus, v-ATPase/mTORC1-mediated ATF4 phosphorylation via lysosomes links mitochondrial stress to UPRmt activation and mitochondrial function resilience.

MLMSA: Multilabel Multiside-Channel-Information Enabled Deep Learning Attacks on APUF Variants

To improve the modeling resilience of silicon strong physical unclonable functions (PUFs), in particular, the APUFs that yield a very large number of challenge response pairs (CRPs), a number of composited APUF variants such as XOR-APUF, interpose-PUF (iPUF), feed-forward APUF (FF-APUF), and OAX-APUF have been devised. When examining their security in terms of modeling resilience, utilizing multiple information sources such as power side channel information (SCI) or/and reliability SCI given a challenge is under-explored, which poses a challenge to their supposed modeling resilience in practice. Building upon multi-label/head deep learning model architecture, this work proposes Multi-Label Multi-Side-channel-information enabled deep learning Attacks (MLMSA) to thoroughly evaluate the modeling resilience of aforementioned APUF variants. Despite its simplicity, MLMSA can successfully break large-scaled APUF variants, which has not previously been achieved. More precisely, the MLMSA breaks 128-stage 30-XOR-APUF, (9,9)-and (2,18)-iPUFs, and (2,2,30)-OAX-APUF when CRPs, power SCI and reliability SCI are concurrently used. It breaks 128-stage 12-XOR-APUF and (2,2,9)-OAX-APUF even when only the easy-to-obtain reliability SCI and CRPs are exploited. The 128-stage six-loop FF-APUF and one-loop 20-XOR-FF-APUF can be broken by simultaneously using reliability SCI and CRPs. All these attacks are normally completed within an hour with a standard personal computer. Therefore, MLMSA is a useful technique for evaluating other existing or any emerging strong PUF designs.

Governance and Actions for Resilient Urban Food Systems in the Era of COVID-19: Lessons and Challenges in China

The COVID-19 pandemic has drastically challenged urban food systems, has hurt the resilience and fundamental function of urban food systems and also accelerated the trends of digitization and changing preferences of consumers in cities. This research conducted a qualitative analysis of the discourses, actions and interactions of different actors in the urban food systems in China during COVID-19 using an actor-oriented approach and discourse analysis. This research finds that stricter regulations and policies have been implemented by governments to regulate the food supply chain and ensure human health. Local community service personnel, volunteers, stakeholders along the food supply chain and consumers formulated collective actions during the pandemic yet chaos and discourse distortions also emerged at different stages. The pandemic is a preamble to changes in consumers’ preferences and food supply chains in urban communities. There were significant structural changes and a dual structure of urban and rural food systems, where unbalanced supply and demand existed. Collective actions with community governance and an innovative food business model to digitize flows and easily adapt to shocks in food systems are required.

Is there a relationship between executive functions and resilience in youth elite soccer players?

While the relationship between cognitive performance and sport performance in youth elite soccer players has proponents as well as opponents, many aspects of this relationship remain unclear. Therefore, this quasi-experimental study wants to contribute to this relationship including the psychological aspect of resilience when investigating youth elite soccer players during an assessment selection for a representative team. Questionnaires as well as computer-based tests were conducted. Results of this study showed no relationship between resilience and executive function in youth elite soccer players. Furthermore, no differences in executive functions or in resilience were found between those players who are selected for a representative team and those who were not selected. The results indicate that further research needs to be conducted to clarify possible relationships in more detail.

Association of psychological resilience and cognitive function in older adults: Based on the Ma’ anshan Healthy Aging Cohort Study

ObjectivesThe purpose of this study was to explore whether psychological resilience can influence changes in cognitive function in older adults and provide clues and rationale for improving cognitive function and preventing the onset of dementia in the geriatric population. MethodsA total of 2495 older adults aged 60 years or older from the Ma’ anshan Healthy Aging Cohort were included in the study. Participants' cognitive functioning and psychological resilience were measured using the MMSE (mini-mental state examination) scale and the SRQS (stress resilience quotient scale) scale during the 5 years of follow-up, and the association was explored. Those with MMSE scores ≤ 17 in the illiterate group, ≤ 20 in the elementary school group, and ≤ 24 in the secondary school and above group were considered cognitive impairment. ResultsThe prevalence of cognitive impairment increased from 6.89% to 14.30% during the five years of follow-up. At 5-year follow-up, the group with the highest psychological resilience had 41 (6.83%) individuals whose cognitive functioning changed from normal to cognitive impairment, while the group with the worst psychological resilience had 114 (18.33%) individuals. The study also found a significant effect of different levels of psychological resilience on changes in cognitive functioning after adjusting for potential confounders. Compared with Q1 (the reference group), the Odds ratio of cognitive decline in Q2, Q3 and Q4 groups were 0.51(0.42,0.64), 0.37(0.29,0.47) and 0.19(0.13,0.27), respectively. ConclusionsImproving the level of psychological resilience in older adults may be one way to prevent the incidence of cognitive impairment.

Self-centering Aseismic Device Based on Shape Memory Alloy

The seismic performance and quick resilience to build structures after an earthquake are paid more and more attention. The traditional seismic design of structures often adopts increasing the ductility of structures to meet the requirements of stronger earthquakes, but it may cause excessive residual deformation of structures after earthquakes, which leads to the difficulty of post-earthquake repair. The resilient structure can improve the seismic performance of the structure, and at the same time, the damage is concentrated on the dissipative components that can be quickly repaired. This requires the improvement of the seismic performance of the dissipative support, while effectively reducing the residual deformation of the components and enhancing the self-centering ability of the components. In this paper, a shape memory alloy (SMA) self-centering device suitable for rocking wall structure is developed from the aspects of SMA heat treatment, material properties, conceptual design, structural design, and mechanical properties test, so as to achieve a more efficient shock-proof structure with resilient functions.

Organisational resilience, ambidexterity and performance: the roles of information technology competencies, digital transformation policies and paradoxical leadership

PurposeIn the current highly volatile and uncertain economic environment, recovery strategies that emphasise attributes and skills are essential for an enterprise to recover and adapt to disruptions. Based on the resource-based view (RBV), this study aims to understand how organisational resilience functions and its outcomes. Specifically, this study establishes links between organisational resilience and internal capabilities in information technology (IT) applications, exploitation-exploration activities and organisational leadership, which are represented by IT competencies, organisational ambidexterity and paradoxical leadership, respectively. The study also analyses the role of government digital transformation policies after the COVID-19 pandemic as an external resource.Design/methodology/approachThis study provides empirical evidence of the dynamic relationships between organisational resilience, ambidexterity and performance under the interactions IT competencies, digital transformation policies and paradoxical leadership by using data collected from 336 small- and medium-sized enterprises (SMEs) in Vietnam and the partial least squares-structural equation modelling technique.FindingsIT competencies and organisational ambidexterity strengthen organisational resilience, reduce missed opportunities and increase organisations’ responsiveness to market volatility. Increasing organisational ambidexterity and resilience enhances the business performance of SMEs. Paradoxical leadership favours organisational ambidexterity and resilience and their outcomes. Digital transformation policies from the government can support SMEs’ IT competencies and resilience.Originality/valueTo the best of the authors’ knowledge, this study based on the RBV is the first to show how integrating external resources with dynamic capabilities such as organisational ambidexterity and resilience can help SMEs build and maintain a sustainable competitive advantage in highly uncertain environments. This research emphasises the vital role of organisational resilience in improvising changes in working processes in response to unexpected events and the importance of a strategy for developing the capability to anticipate a wide variety of situations and seize opportunities quickly.

Emergency Restorability of Underground Engineering Environment after Disasters by Utilizing Prefabrication and Assembly Technology

Urban development is promoting aboveground-underground city integration. Underground engineering and surrounding buildings and infrastructure form an underground engineering environment (UEE). In critical disasters, damage to the UEE not only causes chain damage to the surroundings but also aggravates urban resilience. Few studies have focused on UEE resilience and its disaster reduction. This study investigated the emergency restorability of the UEE to fill this research gap. First, we classified the restoration levels based on UEE damage patterns. Second, we performed subregion optimization based on cast-in-situ (CIS) restoration, and technical optimization by utilizing prefabrication and assembly technology (PAT). Third, the CIS/PAT UEE emergency restorability functions were constructed based on these optimizations and the local assembly capacity. Finally, the performance of the CIS/PAT restoration, optimization effect, and local assembly capacity were analyzed using a case study. The results indicated that (1) meticulous subregion optimization significantly reduced environmental work with a 13.5% speed up; (2) technical optimization incorporating PAT had the highest efficiency for improving UEE emergency restorability; (3) PAT restoration enhanced the structural resilience and functional resilience of the UEE by at least 28.34% and 62.27% over CIS restoration, respectively; (4) upper and lower thresholds exist for assembly speed in PAT restoration; (5) there exist three types of assembly capacity in PAT restoration: ring-quantity-sensitive, ring-weight-sensitive, and insensitive; and (6) the adaptive schemes maximized the performance of different local assembly capacities in PAT restoration. The UEE emergency restorability function provides a quantitative assessment tool for the resilience of UEE and a resilience enhancement scheme for disaster reduction.

Experimentally determined traits shape bacterial community composition one and five years following wildfire.

Wildfires represent major ecological disturbances, burning 2-3% of Earth's terrestrial area each year with sometimes drastic effects above- and belowground. Soil bacteria offer an ideal, yet understudied system within which to explore fundamental principles of fire ecology. To understand how wildfires restructure soil bacterial communities and alter their functioning, we sought to translate aboveground fire ecology to belowground systems by determining which microbial traits are important post-fire and whether changes in bacterial communities affect carbon cycling. We employed an uncommon approach to assigning bacterial traits, by first running three laboratory experiments to directly determine which microbes survive fires, grow quickly post-fire and/or thrive in the post-fire environment, while tracking CO2 emissions. We then quantified the abundance of taxa assigned to each trait in a large field dataset of soils one and five years after wildfires in the boreal forest of northern Canada. We found that fast-growing bacteria rapidly dominate post-fire soils but return to pre-burn relative abundances by five years post-fire. Although both fire survival and affinity for the post-fire environment were statistically significant predictors of post-fire community composition, neither are particularly influential. Our results from the incubation trials indicate that soil carbon fluxes post-wildfire are not likely limited by microbial communities, suggesting strong functional resilience. From these findings, we offer a traits-based framework of bacterial responses to wildfire.