KAMENOVA Stefaniya

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  • CEES, University of Oslo, Oslo, Norway
  • Agroecology, Biodiversity, Biological control, Ecosystem functioning, Food webs, Herbivory, Interaction networks, Molecular ecology
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My research interests lie at the intersection of DNA metabarcoding, biodiversity dynamics and trophic interactions in human-exploited ecosystems. I am particularly interested in understanding how the delivery of key ecosystem services (e.g. biological control) could be optimized through the management of multitrophic interactions.

I completed my PhD at the Centre d’Études Biologiques de ChizĂ© in France, where under the supervision of Vincent Bretagnolle and Manuel Plantegenest I developed molecular and stable isotope methods for the quantification of carabid beetles' contribution to biological control in intensively managed agroecosystems. After a brief postdoc at the University of Guelph (Canada) focusing on host-parasitoid food webs in boreal forests, I am now studying diet and trophic interactions of Arctic herbivore communities with special emphasis on reindeer. By combining DNA metabarcoding analysis, climate and socio-economic data as well as traditional knowledge from reindeer herders, my objective will be to identify relevant management scenarios for reindeer husbandry that meet the constraints of ongoing climate and land use changes in the high Arctic.

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2020-02-05
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A flexible pipeline combining clustering and correction tools for prokaryotic and eukaryotic metabarcoding
Miriam I Brandt, Blandine Trouche, Laure Quintric, Patrick Wincker, Julie Poulain, Sophie Arnaud-Haond
10.1101/717355

Recommended by Stefaniya Kamenova based on reviews by Tiago Pereira and 1 anonymous reviewer
A flexible pipeline combining clustering and correction tools for prokaryotic and eukaryotic metabarcoding

High-throughput sequencing-based techniques such as DNA metabarcoding are increasingly advocated as providing numerous benefits over morphology‐based identifications for biodiversity inventories and ecosystem biomonitoring [1]. These benefits are particularly apparent for highly-diversified and/or hardly accessible aquatic and marine environments, where simple water or sediment samples could already produce acceptably accurate biodiversity estimates based on the environmental DNA present in th...

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