A food web model for the Baffin Bay coastal and shelf ecosystem. Part 1 : Ecopath Technical Report

This work was undertaken as part of a multidisciplinary research project funded by the Marine Observation Prediction and Assessment Network - MEOPAR (at ULaval), Canadian Institute of Health Research – CIHR (at University of Ottawa), and Sentinel North (at ULaval), and hosted at Université Laval, in Canada. The objective of the overall project is to support the food security (i.e., the availability and access to sufficient, safe, nutritious food that meets dietary preference) of Inuit communities of the Eastern Canadian Arctic, as well as to explore ways to adapt to effects of climate change. Inuit fish and hunt local marine species, from invertebrates to fish and marine mammals, which make a large part of their diet and are central to their food security. With temperatures increasing twice as fast as the global average and sea ice becoming thinner and forming later, climate change effects on the distribution and abundance of Arctic marine species are already taking place. To better understand the effects of climate change in important subsistence species, a multi-species model (Ecopath with Ecosim) will be used to inform the development of an integrated ecosystem assessment. The model will be used as a tool to co-create scenarios of ecosystem change with the community of Qikiqtarjuaq, Nunavut, to inform adaptation strategies regarding food security (e.g., potential of new fisheries in the region). This report describes the development of an Ecopath model of the Baffin Bay coastal and shelf ecosystem. The methodology, data used to construct the model, data gaps and limitations are described

Déterminants de l'allaitement maternel dans les milieux précaires

TOURS-BU Médecine (372612103) / SudocTOURS-Inst.Eur.Hist.Alimentation (372615207) / SudocSudocFranceF

Structure and function of the western Baffin Bay coastal and shelf ecosystem

Arctic marine species, from benthos to fish and mammals, are essential for food security and sovereignty of Inuit people. Inuit food security is dependent on the availability, accessibility, quality, and sustainability of country food resources. However, climate change effects are threatening Inuit food systems through changes in abundance and nutritional quality of locally harvested species, while foundational knowledge of Arctic food webs remains elusive. Here, we summarized scientific knowledge available for the western Baffin Bay coastal and shelf ecosystem by building a food web model using the Ecopath with Ecosim modeling framework. Based on this model, we calculated ecological network analysis indices to describe structure and function of the system. We used Linear Inverse Modeling and Monte Carlo analysis to assess parameter uncertainty, generating plausible parameterizations of this ecosystem from which a probability density distribution for each index was generated. Our findings suggest that the system is controlled by intermediate trophic levels, highlighting the key role of Arctic cod (Boreogadus saida) as prey fish, as well as the importance of other less studied groups like cephalopods in controlling energy flows. Most of the ecosystem biomass is retained in the system, with very little lost to subsistence harvest and commercial fisheries, indicating that these activities were within a sustainable range during the modeling period. Our model also highlights the scientific knowledge gaps that still exist (e.g., species abundances), including valued harvest species like Arctic char (Salvelinus alpinus), walrus (Odobenus rosmarus), and seals, and importantly our poor understanding of the system in winter. Moving forward, we will collaborate with Inuit partners in Qikiqtarjuaq, NU, Canada, to improve this modeling tool by including Inuit knowledge. This tool thus serves as a starting point for collaborative discussions with Inuit partners and how its use can better inform local and regional decision-making regarding food security

Effects of azithromycin and doxycycline on the vaginal microbiota of women with urogenital Chlamydia trachomatis infection: a substudy of the Chlazidoxy randomized controlled trial

Objectives: Dysbiotic bacterial communities within the vagina are associated with Chlamydia trachomatis infection. We compared the effect of treatment with azithromycin and doxycycline on the vaginal microbiota in a cohort of women with a urogenital C. trachomatis infection randomly assigned to one of these treatments (Chlazidoxy trial). Methods: We analysed vaginal samples from 284 women (135 in the azithromycin group and 149 in the doxycycline group) collected at baseline and 6 weeks after treatment initiation. The vaginal microbiota was characterized using 16S rRNA gene sequencing and classified into community state types (CSTs). Results: At baseline, 75% (212/284) of the women had a high-risk microbiota (CST-III or CST-IV). A crosssectional comparison 6 weeks after treatment showed that 15 phylotypes were differentially abundant, but this difference was not reflected at the CST (p 0.772) or diversity level (p 0.339). Between baseline and the 6-week visit, a-diversity (p 0.140) and transition probabilities between CSTs were not significantly different between the groups, and no phylotype was differentially abundant. Discussion: In women with urogenital C. trachomatis infection, the vaginal microbiota does not seem to be affected by azithromycin or doxycycline 6 weeks after treatment. Because the vaginal microbiota remains susceptible to C. trachomatis infection (with CST-III or CST-IV) after antibiotic treatment, women remain at risk of reinfection, which could originate from unprotected sexual intercourse or untreated anorectal C. trachomatis infection. This last consideration advocates for the use of doxycycline instead of azithromycin because of its higher anorectal microbiological cure rate. Jeanne Tamarelle, Clin Microbiol Infect 2023;29:1056 & COPY; 2023 European Society of Clinical Microbiology and Infectious Diseases.Plateforme d'Innovation " Forêt-Bois-Fibre-Biomasse du Futur