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Yedinak, K.

Publications and source records attributed to Yedinak, K..

4 recordsLinked to original sources

Persistent but variable effect of experimental laboratory burns on microbial community resistance, resilience, and function across contrasting boreal forest soils

Boreal forests stretch across vast swaths of the northern hemisphere, are shaped by wildfire, and play an important role in the global carbon cycle. Microorganisms play a critical role in soil nutrient cycling in these ecosystems, yet there are many open questions about the impacts of wildfire on microbially mediated soil biogeochemical cycles. In this study, we used laboratory burns and soil incubations of intact soil cores collected from two distinct soil types -- Histosols and Gleysols -- from boreal forest within Wood Buffalo National Park, Alberta, Canada, to assess burn effects on soil bacterial and fungal community composition and function. We compared resistance and resilience to burning for microbial communities vs. resistance and resilience to burning for soil pH and soil respiration to assess the relationships between burn-induced shifts in microbial community composition, the soil environment, and microbial activity. To link shifts in microbial community composition to potential community function, we measured glucose-specific carbon use efficiency (CUE) and assessed its relationship with weighted mean predicted 16S rRNA gene copy numbers for bacterial communities and FUNGuild-estimated relative abundance of putative symbiotrophic and saprotrophic fungi in burned and unburned soils. Microbial community resistance and resilience to burning varied across soil type with higher resistance of both bacterial and fungal communities from Histosols compared to the O horizons of Gleysols. This may be explained by a larger impact of burning on microbes in the thinner Gleysol O horizons. The relatively low resilience of bacterial and fungal communities to burning as well as the failure of resilience to increase with time since burning supports previous reports of post-burn microbial community recovery occurring over years rather than months. Burning caused a decrease in CUE with larger decreases following longer, hotter burns, which correlated with an increase in weighted mean predicted 16S rRNA gene copy number, raising the possibility that copy number could serve as a proxy for post-fire CUE in boreal forest soils, though more research is needed to constrain the effects of environmental conditions, substrates, and time since fire on this relationship. These findings suggest several ways in which burn-induced shifts in microbial community composition reflect altered microbial community function in meaningful ways for soil carbon cycling.

ecology↗

Fire removes preexisting pyrogenic organic matter from the ecosystem through the mechanisms of both direct combustion and increasing mineralizability

Pyrogenic organic matter (PyOM) produced during fires plays an important role in the global carbon (C) cycle due to its low microbial availability and resulting high persistence. However, PyOM can be combusted or chemically altered in subsequent fires. To explore the effect of subsequent fire on PyOM, we used a mass loss calorimeter to deliver realistic heat fluxes to jack pine (Pinus banksiana Lamb.) PyOM produced at 350 {degrees}C, testing heat flux profiles (High, Low, and Control) and burial depths (Surface, 1 cm, and 5 cm) in a full-factorial design. We found that both variables significantly affected the C remaining after burns (p < 0.05), with greater C losses at higher heat fluxes and shallower exposure depths. Consistent with our predictions, treatments with high heat exposure (HFHigh+Surface, HFHigh+1cm, HFLow+Surface) showed increases in pH and decreases in total dissolved organic carbon (DOC) and mineralized C after the subsequent fire. Counter to our predictions, treatments with intermediate heat exposure (HFHigh+5cm and HFLow+1cm) caused significant decreases in pH and increases in DOC, mineralized C, modelled decomposable C, and modelled C decomposition rate (p < 0.05), compared to the unburned controls. These findings highlight that, despite its high persistence in fire-free conditions, PyOM is readily combusted and altered in subsequent fires, with important implications for changing fire regimes and the global C cycle. Synopsis StatementSubsequent fires not only consume PyOM produced in previous burns, but can also increase its susceptibility to microbial decomposition, which challenges the potential for PyOM to contribute to long-term carbon storage.

ecology↗

Burn-induced decreases in soil microbial carbon use efficiency vary across soil types and substrates

Wildfires cause immediate changes in above and belowground carbon (C) stocks in boreal forest ecosystems with long-term repercussions for C cycling. Understanding the role of soil microbes in mediating post-fire C cycling and recovery is an important step to predicting how these ecosystems will respond to novel wildfire regimes caused by climate change. Wildfires can cause large shifts in soil bacterial and fungal community composition that can persist for years post-fire. Less is known about the effects of fire on soil microbial community function, such as C use efficiency (CUE). In this study, we measured the effects of burning on substrate-specific CUE using a laboratory incubation of boreal forest soils. We amended burned and unburned soils with either 13C-labelled ground pine roots or glucose and measured the amount of added substrate C that was incorporated into microbial biomass C versus respired as CO2 in order to calculate CUE. Burning caused a decrease in the amount of soil microbial biomass and respiration derived from soil organic C. Glucose-specific CUE declined with burning, driven by a decrease in glucose-derived microbial biomass. This decrease in glucose-specific CUE following burning correlated with an increase in weighted mean predicted 16S rRNA gene copy number, raising the possibility of using copy number as a proxy for post-fire CUE in boreal forest soils. Overall, pine-specific CUE was lower than glucose-specific CUE, likely reflecting the difference in chemical complexity between the two substrates; burning had a much smaller effect on pine-specific CUE, highlighting the variability of CUE between substrates in burned soils.

ecology↗

A laboratory method for simulating the effects of subsequent fires on pyrogenic organic matter at different exposure depths in a sand matrix

BackgroundAcross a variety of anthropogenic and natural contexts, fire can reoccur in a previously burned location. However, effects of subsequent fire on preexisting pyrogenic organic matter (PyOM) stocks are difficult to discern. Laboratory experiments offer a powerful approach to investigating how subsequent fire impacts the preexisting PyOM. AimsWe aimed to design a highly repeatable laboratory method to effectively measure the impacts of subsequent fires on PyOM at different soil depths while addressing key limitations of previous methods. MethodsJack pine (Pinus banksiana Lamb.) log burns were used to parameterize realistic heat flux profiles. Using a cone calorimeter, these profiles were applied to buried jack pine PyOM to simulate variable reburn fire intensities. Key resultsIn general, higher heat flux and shallower depths led to more mass loss of PyOM from combustion and more heat exposure. ConclusionsOur reburn method offers a highly replicable way to simulate specific fire scenarios. Conditions that result in more heat exposure (higher heat fluxes, shallower depths) are likely to lead to more loss of PyOM in subsequent fires. ImplicationsThe customizable method could simulate different fire scenarios to investigate spatial variability within a given fire event, or to study the effects of fire on different types of biomass or organisms, such as microbes. Summary textOur paper illustrates a laboratory method to better quantify loss of preexisting PyOM in soil after a fire. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=116 SRC="FIGDIR/small/605814v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@10e9104org.highwire.dtl.DTLVardef@152cb49org.highwire.dtl.DTLVardef@a04c41org.highwire.dtl.DTLVardef@1ee543d_HPS_FORMAT_FIGEXP M_FIG C_FIG

ecology↗