Boreal forest soil carbon fluxes one year after a wildfire: Effects of burn severity and management

The extreme 2018 hot drought that affected central and northern Europe led to the worst wildfire season in Sweden in over a century. The Ljusdal fire complex, the largest area burnt that year (8995 ha), offered a rare opportunity to quantify the combined impacts of wildfire and post-fire management on Scandinavian boreal forests. We present chamber measurements of soil CO2 and CH4 fluxes, soil microclimate and nutrient content from five Pinus sylvestris sites for the first growing season after the fire. We analysed the effects of three factors on forest soils: burn severity, salvage-logging and stand age. None of these caused significant differences in soil CH4 uptake. Soil respiration, however, declined significantly after a high-severity fire (complete tree mortality) but not after a low-severity fire (no tree mortality), despite substantial losses of the organic layer. Tree root respiration is thus key in determining post-fire soil CO2 emissions and may benefit, along with heterotrophic respiration, from the nutrient pulse after a low-severity fire. Salvage-logging after a high-severity fire had no significant effects on soil carbon fluxes, microclimate or nutrient content compared with leaving the dead trees standing, although differences are expected to emerge in the long term. In contrast, the impact of stand age was substantial: a young burnt stand experienced more extreme microclimate, lower soil nutrient supply and significantly lower soil respiration than a mature burnt stand, due to a thinner organic layer and the decade-long effects of a previous clear-cut and soil scarification. Disturbance history and burn severity are, therefore, important factors for predicting changes in the boreal forest carbon sink after wildfires. The presented short-term effects and ongoing monitoring will provide essential information for sustainable management strategies in response to the increasing risk of wildfire

Gut microbiota of Spodoptera frugiperda (J.E. Smith) larvae as revealed by metatranscriptomic analysis

The invasive fall armyworm, Spodoptera frugiperda (J.E. Smith; Lepidoptera: Noctuidae), is considered one of the most harmful pests in corn, rice and cotton crops and has developed resistance to the most widespread methods used to control it, chemical insecticides and transgenic crops based on Bt toxins. On the other hand, gut microbiota plays an important role in the insect's fitness, and metatranscriptomic analyses of the insect host are an invaluable tool for identifying new pest control targets. Notwithstanding, there are extremely few reports on the functionally active profile of the gut microbiota in insects, especially in lepidopterans. Moreover, most studies have only described the bacterial community even though all the components of the microbiota, Bacteria, Archaea, fungi, protozoa and viruses, influence different physiological aspects of the insect host. This is the first time an unbiased and comprehensive metatranscriptomic approach has been used to describe the taxonomic and functional profile of the gut microbiota of S. frugiperda larvae, both bacterial and non-bacterial. We identified novel and very active components which were putatively playing an important nutritional role, such as ammonia-oxidizing Archaea and Bacteria, and a xylan- and hemicellulose-degrading Actinobacteria. This analysis also allowed us to identify potential biocontrol agents.Fil: Rozadilla, Gastón. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; ArgentinaFil: Cabrera, Natalia Alina. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; ArgentinaFil: Virla, Eduardo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; ArgentinaFil: Greco, Nancy Mabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; ArgentinaFil: Mccarthy, Cristina Beryl. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; Argentin

Salvage logging effects on regulating and supporting ecosystem services - a systematic map

Wildfires, insect outbreaks, and windstorms are increasingly common forest disturbances. Post-disturbance management often involves salvage logging, i.e., the felling and removal of the affected trees; however, this practice may represent an additional disturbance with effects on ecosystem processes and services. We developed a systematic map to provide an overview of the primary studies on this topic and created a database with information on the characteristics of the retrieved publications, including information on stands, disturbance, intervention, measured outcomes, and study design. Of 4341 retrieved publications, 90 were retained in the systematic map. These publications represented 49 studies, predominantly from North America and Europe. Salvage logging after wildfire was addressed more frequently than after insect outbreaks or windstorms. Most studies addressed logging after a single disturbance event, and replication of salvaged stands rarely exceeded 10. The most frequent response variables were tree regeneration, ground cover, and deadwood characteristics. This document aims to help managers find the most relevant primary studies on the ecological effects of salvage logging. It also aims to identify and discuss clusters and gaps in the body of evidence, relevant for scientists who aim to synthesize previous work or identify questions for future studies

Systematic map database for: Salvage logging effects on regulating and supporting ecosystem services. A systematic map

Systematic Map database (in tab-delimited text format). All details and explanations can be found in Appendix A1 of the manuscript ("Systematic map database and data coding strategy”)