Dear MARMAM colleagues,
On behalf of my co-authors, I am pleased to share our new publication in the open access journal PeerJ , Vol. 12, No. e16688:
Ouzoulias, F. / Bousquet, N. / Genu, M. /
Gilles, A. / Spitz, S. / Authier, M.
Development
of a New Control Rule for Managing Anthropogenic Removals of
Protected, Endangered or Threatened Species in Marine Ecosystems
In this publication, we developed and encoded in our R package RLA a new
control rule for setting limit reference points (or removals
limits) to the anthropogenic removals of protected, endangered or
threatened species. We carried population dynamics simulations in
a Management Strategy Evaluation framework to test and benchmark
several control rules: PBR, RLA and a new rule control we called
ART for 'Anthropogenic Removals Threshold'. These simulations were
calibrated on life history parameters of the Harbour Porpoise (Phocoena
phocoena) in the North Sea. Taking into account uncertainty
in key parameters such as Maximum Net Productivity Level and
biases in estimates (e.g. by-catch estimates), we investigated
the performance of the different control rules to reach a given
conservation objective (eg restoring or maintaining depletion
levels above X% of carrying capacity over Z years with probability
P). Our simulations confirmed the remarkable effectiveness of PBR.
On the other hand, ART was the only rule that allowed for a
decreasing trend in the reference point/removals limit over time,
thereby displaying greater alignment with current policy
aspirations in the European Union such as minimzing, and where
possible eliminating, by-catch of protected, endangered or
threatened species.
If you have any questions about our work, please reach out.
Cheers,
Matthieu Authier
-- Matthieu Authier - Ingénieur de Recherche La Rochelle Université Observatoire Pelagis UAR 3462 CNRS-LRUniv 5 allée de l'océan 17 000 La Rochelle telephone: +00 33 (0)7 77 22 32 67 (remote-working/télé-travail) https://www.observatoire-pelagis.cnrs.fr/pelagis-2/lequipe/matthieu-authier/ Try again. Fail again. Fail better. (Samuel Beckett) Verzögerungen im Betriebsablauf (Deutsche Bahn) 🍍 🦉🐛