Biology subjects

Boucher, Y.

Publications and source records attributed to Boucher, Y..

3 recordsLinked to original sources

bioRxiv2022

Positive effects of projected climate change on post-disturbance forest regrowth rates in northeastern North American boreal forests

Forest anthropogenic and natural stand-replacing disturbances are increasing worldwide due to global change. Many uncertainties regarding the regeneration and growth of these young forests remain within the context of changing climate. In this study, we investigate the effects of climate, tree species composition, and other landscape-scale environmental variables upon boreal forest regrowth following clearcut logging in eastern Canada. Our main objective was to predict the effects of future climate changes upon post-logging forest height regrowth at a subcontinental scale using high spatial resolution remote sensing data. We modeled forest canopy height (estimated from airborne laser scanning [LiDAR] data over 20-m resolution virtual plots) as a function of time elapsed since the last clearcut along with climatic (i.e., temperature and moisture), tree species composition, and other environmental variables (e.g., topography and soil hydrology). Once trained and validated with [~]240,000 plots, the model that was developed in this study was used to predict potential post-logging canopy height regrowth at 20-m resolution across a 240,000 km2 area following scenarios depicting a range of projected changes in temperature and moisture across the region for 2041-2070. Our results predict an overall beneficial, but limited effect of projected climate changes upon forest regrowth rates in our study area. Stimulatory effects of projected climate change were more pronounced for conifer forests, with growth rates increasing between +5% and +50% over the study area, while mixed and broadleaved forests recorded changes that mostly ranged from -5% to +35%. Predicted increased regrowth rates were mainly associated with increased temperature, while changes in climate moisture had a minor effect. We conclude that such gains in regrowth rates may partially compensate for projected substantial increases in fire activity and other natural disturbances that are expected with climate change in these boreal forests.

ecology↗

bioRxiv2021

Pandemic Vibrio cholerae Acquired Competitive Traits from an Environmental Vibrio Species

BackgroundVibrio cholerae, the causative agent of cholera, is a human pathogen that thrives in estuarine environments. V. cholerae competes with neighboring microbes by the contact-dependent translocation of toxic effectors with the type VI secretion system (T6SS). Effector types are highly variable across V. cholerae strains, but all pandemic isolates encode the same set of distinct effectors. It is possible that acquisition of these effectors via horizontal gene transfer played a role in the development of pandemic V. cholerae. ResultsWe assessed the distribution of V. cholerae T6SS loci across multiple Vibrio species. We showed that the fish-pathogen V. anguillarum encodes all three V. cholerae core loci as well as two of the four additional auxiliary clusters. We further demonstrated that V. anguillarum shares T6SS effectors with V. cholerae, including every pandemic-associated V. cholerae effector. We identified a novel T6SS cluster (Accessory Aux1) that is widespread in V. anguillarum and encodes the pandemic V. cholerae effector TseL. We highlighted potential gene transfer events of Accessory Aux1 from V. anguillarum to V. cholerae. Finally, we showed that TseL from V. cholerae can be neutralized by the V. anguillarum Accessory Aux1 immunity protein and vice versa, indicating V. anguillarum as the donor of tseL to the V. cholerae species. ConclusionsV. anguillarum constitutes an environmental reservoir of pandemic-associated V. cholerae T6SS effectors. V. anguillarum and V. cholerae likely share an environmental niche, compete, and exchange T6SS effectors. Further, our findings highlight the fish as a potential reservoir of pandemic V. cholerae.

genomics↗

bioRxiv2021

Modeling post-logging height growth of black spruce forests by combining airborne LiDAR and historical forestry maps in eastern Canadian boreal forest

Increase in forest disturbance due to land use as well as climate change has led to an expansion of young forests worldwide, which affects global carbon dynamics and forest management. In this study, we present a novel method that combines a single airborne LiDAR acquisition and historical harvesting maps to model height growth of post-logged black spruce-dominated forests in a 1700 km2 eastern Canadian boreal landscape. We developed a random forest model where forest height is a function of stand age, combined with environmental variables. Our results highlight the strong predictive power of this model: least-square regression between predicted and observed height of our validation dataset was very close to the 1:1 relation and strongly supported by validation metrics (R2 = 0.75; relative RMSE = 19%). Moreover, our findings indicated an ecological gradient responsible for differences in height growth at the landscape scale, with better growth rates on mesic slopes compared to badly drained soils on flat lands. With the increased availability of LiDAR data, this method is promising since it can be applied to forests across the globe that are affected by stand-replacing disturbances.

ecology↗