Dear Colleagues,

We are excited to share with you our new publication 'Assessing the reliability 
of species distribution models under changing environments: A case study on 
cetaceans in the North-East Atlantic', published in Global Ecology and 
Conservation:

Pigeault, R., Authier, M., Ramirez-Martinez, N. C., Virgili, A., Geelhoed, S. 
C., Haelters, J.,  Louzao, M., Saaveedra, C. & Gilles, A. (2024). Assessing the 
reliability of species distribution models under changing environments: a case 
study on cetaceans in the North-East Atlantic. Global Ecology and Conservation, 
e03299. https://doi.org/10.1016/j.gecco.2024.e03299


Using the cetacean survey data collected in the North-East Atlantic from 2005 
to 2020 and a set of covariates commonly used to predict cetacean distribution 
with species distribution models (SDMs), we investigated the periods, regions 
and environments where SDM predictions depended on modelling choices due to the 
small amount of environmentally similar calibration data. To do so, we used 2 
well-established metrics (extrapolations and nearby data in the environmental 
space) on monthly prediction grids from 2005 to 2020 in the North-East 
Atlantic. The results showed that, following the coverage effort, predictions 
in environments associated with shallow waters and moderate temperatures were 
largely supported by the calibration dataset. The number of data supporting 
predictions decreased significantly in deep waters due to the logistic 
constraints associated with surveying offshore areas. Other variations in 
predictive reliability were also observed depending on primary productivity, 
seabed slope and cold/warm temperatures in the study area, as these variables 
vary greatly between regions and over time. This study provides additional 
information on the potential to build reliable species distribution models in 
the region, and sheds light on periods, areas and environments where current 
environmental gaps can be filled by future surveys to increase the ability of 
models to robustly predict cetacean distribution.

Best regards,

On behalf of all co-authors,

Remi Pigeault
Institute of Terrestrial and Aquatic Wildlife Research (ITAW) - TiHo
Buesum (Germany)

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