Characterizing ecologically significant areas to evaluate marine conservation efforts in the South Brazilian Continental Shelf

Instituto de Oceanografia, Universidade Federal do Rio Grande, Rio Grande, RS, Brazil
Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia
INCT-Mar COI, Instituto Nacional de Ciencia e Tecnologia, Rio Grande, RS, Brazil
School of Biological Sciences, The University of Queensland, St Lucia, QLD, Australia
DOI
10.7287/peerj.preprints.26513v1
Subject Areas
Biodiversity, Conservation Biology, Ecology, Marine Biology, Biological Oceanography
Keywords
Continental shelf, Conservation, Biodiveristy, Marine Protected Areas, South Atlantic, South Brazil, EBSA
Copyright
© 2018 Muelbert et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Muelbert JH, Macedo-Soares LC, Costa MD, Favareto LR, Muelbert MM. 2018. Characterizing ecologically significant areas to evaluate marine conservation efforts in the South Brazilian Continental Shelf. PeerJ Preprints 6:e26513v1

Abstract

Ecologically Significant Areas (EBSAs) are regions of high productivity and species richness, and their identification and characterisation can be an important tool for marine conservation. We compiled information for the South Brazilian Shelf to evaluate if the existing areas of marine conservation are sufficient to protect biodiversity. Species distribution for ichthyoplankton, fish, birds and marine mammals was overlayed to identify biodiversity hotspots, producing maps of species richness ranging from 0 (absence of species) to 1 (maximum species richness). Suitable areas for ichthyoplankton distribution were accessed by species distribution modelling (MaxEnt) using in situ temperature, salinity and bathymetry (GEBCO). For the other groups, their distribution was obtained from the IUCN and BirdLife spatial datasets. We defined biodiversity hotspots as marine areas with pixels values of species richness greater than the upper 95th percentile. Then, we used this information to characterise the EBSAs in our study area. Our results revealed a biodiversity hotspot of approximately 35.909,9 Km². Of this, only approximately 115km² (0.32%) are currently protected according to the World Database on Protected Areas. This reveals that the concept of EBSAs can be useful to identify conservation regions and evaluate efforts to achieve conservation of marine ecosystems.

Author Comment

This is an abstract which has been accepted for the WCMB