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Environmental assessment of proposed areas for offshore wind farms off southern Brazil based on ecological niche modeling and a species richness index for albatrosses and petrels

Authors :
Carolina Alves Lemos
Mauricio Hernández
Cristiano Vilardo
Richard A. Phillips
Leandro Bugoni
Isabel Sousa-Pinto
Source :
Global Ecology and Conservation, Vol 41, Iss , Pp e02360- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

The increasing number of offshore wind farms (OWFs) proposed off the Brazilian coast is a biodiversity management challenge that needs to be addressed with strategic and targeted environmental impact assessments. The effects of OWFs on birds are much better studied in the northern than southern hemisphere. Knowledge of species distributions is key to developing effective conservation strategies. Ecological niche modeling can support strategic siting decisions and identify the target species for which mitigation of the impacts of OWFs may be required. We used the maximum entropy algorithm (MaxEnt) for modeling species niche suitability, incorporating environmental variables and presence-only data from tracking and at-sea surveys for seven albatrosses and petrels, of which five are threatened by extinction. We used the predicted niche suitability index (NSI) to calculate niche overlaps, assess distribution patterns and generate spatial prioritizations across seasons based on a species richness index (RI). Atlantic Yellow-nosed Albatross Thalassarche chlororhynchos, Atlantic Petrel Pterodroma incerta, and Great Shearwater Ardenna gravis were selected as target species for monitoring in Brazilian shallow waters (0–200 m depth) in the warm season, and Atlantic Yellow-nosed Albatross and White-chinned Petrel Procellaria aequinoctialis in the cold season. The RI was higher in waters between 200 m and 1000 m depth, a preferred area for OWFs with floating foundations. We advocate for the incorporation of niche models in environmental impact studies, as a tool for improving conservation, environmental planning, and impact assessment.

Details

Language :
English
ISSN :
23519894
Volume :
41
Issue :
e02360-
Database :
Directory of Open Access Journals
Journal :
Global Ecology and Conservation
Publication Type :
Academic Journal
Accession number :
edsdoj.4d32f216ea2e47c8ab77ec12e226e539
Document Type :
article
Full Text :
https://doi.org/10.1016/j.gecco.2022.e02360