Modelling the distribution of striped dolphins in the first two periods of the Marine Strategy Framework Directive (Gulf of Corinth, Greece)

Azzolin, M.; Saintingan, Sebastien; Costantino, Matteo; Zampollo, Arianna; Arcangeli, Antonella; Μάινα, Ίριδα; Kavvadas, Stefanos; Carlucci, Roberto; Giacoma, Cristina

doi:10.1109/metrosea52177.2021.9611591

Cited by 1 publication

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“…During 2020, owing to restrictions related to the Covid‐19 pandemic outbreak, fewer surveys were possible, resulting in the year with the lowest number of surveys. At the same time, 2020 was the year with the highest frequency of occurrence of this species; this could be related to a relative reduced human pressure reflecting the global trend, and the more local trend as was demonstrated for the Mediterranean monk seal ( M. monachus ) in the Gulf of Corinth (Azzolin et al, 2020).…”

Section: Discussionmentioning

confidence: 85%

Environmental variables influencing occurrence and distribution of Delphinus delphis in the eastern Aegean Sea (eastern Mediterranean Sea)

Ingrosso,

Tintoré,

Cipriano

et al. 2023

Aquatic Conservation

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Cetaceans are considered bioindicators of the health state of marine ecosystems owing to their wide distribution across the different aquatic ecosystems in the world and their significant top‐down control role in the food chain, despite their low biomass. At the same time, effective management of wild cetacean populations severely affected by human pressure requires extensive knowledge on species distribution, habitat use, and associated threats. In this context, defining the factors that directly influence the local occurrence and distribution of cetaceans is one of the underlying challenges and is essential for their conservation and long‐term survival. Delphinus delphis sightings data, collected between 2017 and 2021 during 284 standardized vessel‐based surveys, were used to set up a presence–absence distribution model in the eastern Aegean Sea, eastern Mediterranean Sea. Binomial generalized additive models with logit as link function were run using the R package mgcv (restricted maximum likelihood method) and different biogeochemical explanatory variables collected from different sources. Longitude, latitude, salinity, chlorophyll a, dissolved ammonium, and dissolved phosphate were selected as non‐collinear predictive variables. Through a model validation based on a 10‐fold cross‐validation approach and a random data splitting procedure of 70%/30% (train/test dataset), a model formula has been selected with an explained deviance of 38.10%, an Akaike information criterion value of 1,661.3, and an area under curve of 0.91. The study confirms that long‐term time series of satellite‐derived data are useful to assess the occurrence and the spatial distribution of D. delphis, suggesting the need for a better understanding of the influence of these environmental factors especially in the framework of climate changes. Outcomes highlight the need to test further variables and further methods in order to provide increasingly reliable results in view of the conservation measures that must be adopted to stop or reduce the degree of pressure to which these species are subjected.

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Section: Discussionmentioning

confidence: 85%