Seasonal and Interannual Variation of Common Dolphin, <scp> <i>Delphinus delphis,</i> </scp> Density in Portuguese Waters

ABSTRACT Modeling a species' ecology and abundance provides important insights into its habitat preferences, population trends, and distribution. Here, we studied how environmental factors relate to common dolphin ( Delphinus delphis ) density in waters off mainland Portugal. We analyzed an opportunistic dataset collected using European Seabirds at Sea (ESAS) methodology within a distance sampling framework, spanning from 2004 to 2020. We fitted habitat‐based Density Surface Models (DSMs) relating common dolphin counts, corrected for detectability, to environmental factors. We found significant effects of distance to the coast—varying seasonally—and a selection of dynamic covariates on dolphin density. We then predicted and mapped common dolphin density throughout the sampling period. Predictions were restricted to coastal regions in spring and winter, due to a lack of offshore effort. Coastal abundance was highest during the summer. When accounting for the entire EEZ, estimated abundance was greatest during autumn, although with considerably large uncertainty measures. Distribution along the coast was patchy across all seasons. Offshore densities were higher in the autumn than in the summer. These results highlight the spatiotemporal distribution and abundance fluctuations of common dolphins, demonstrating how, when treated carefully, opportunistic data can fill in the blanks on species ecology and abundance.

Authors

Institutions

Publication Details

Journal
Marine Mammal Science
Published
2026-03-16
DOI
https://doi.org/10.1111/mms.70160
Primary Topic
Marine animal studies overview
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seasonal and Interannual Variation of Common Dolphin, Delphinus delphis, Density in Portuguese Waters

Ana Marçalo, M.F. Martins, Nuno Oliveira, Marc Fernandez et al.
Marine Mammal Science
Marine animal studies overview
article

Seasonal and Interannual Variation of Common Dolphin, Delphinus delphis, Density in Portuguese Waters

Ana Marçalo, M.F. Martins, Nuno Oliveira, Marc Fernandez, Tiago A. Marques
article en

Abstract

ABSTRACT Modeling a species' ecology and abundance provides important insights into its habitat preferences, population trends, and distribution. Here, we studied how environmental factors relate to common dolphin ( Delphinus delphis ) density in waters off mainland Portugal. We analyzed an opportunistic dataset collected using European Seabirds at Sea (ESAS) methodology within a distance sampling framework, spanning from 2004 to 2020. We fitted habitat‐based Density Surface Models (DSMs) relating common dolphin counts, corrected for detectability, to environmental factors. We found significant effects of distance to the coast—varying seasonally—and a selection of dynamic covariates on dolphin density. We then predicted and mapped common dolphin density throughout the sampling period. Predictions were restricted to coastal regions in spring and winter, due to a lack of offshore effort. Coastal abundance was highest during the summer. When accounting for the entire EEZ, estimated abundance was greatest during autumn, although with considerably large uncertainty measures. Distribution along the coast was patchy across all seasons. Offshore densities were higher in the autumn than in the summer. These results highlight the spatiotemporal distribution and abundance fluctuations of common dolphins, demonstrating how, when treated carefully, opportunistic data can fill in the blanks on species ecology and abundance.

Marine Mammal ScienceVol. 42(2)
University of Lisbon (PT), University of St Andrews (GB), Sociedade Portuguesa de Cardiologia (PT), Regional Development Agency (CZ), Instituto de Investigacao das Pescas e do Mar (PT), Universidade da Madeira (PT), University of Algarve (PT)
Life below water
Openalex Percentile: Top 24%
Marine animal studies overview
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.