Abstract:
This study presents the pattern of occurrence of sub-Antarctic fur seals (SAFS), Arctocephalus tropicalis, in the southern Brazilian coast and evaluate its association with climatic variability and anomalies in the concentration of chlorophytes and sea surface temperature in the reproductive colonies of Gough and Tristan da Cunha Islands. Date, sex, and age class of 254 stranded SAFS recorded between 1992 and 2013 were analyzed. Representative indexes of the patterns of climatic variability and environmental variables were obtained between four and five months before the records, the assumed interval of displacement for species between their closest breeding colonies and the southern Brazilian coast. The species was observed in southern Brazil between May and November each year, and most individuals were adult males. The records of SAFS on the southern Brazilian coast were associated with low concentration of chlorophytes interacting with negative sea surface temperature anomalies, and positive events of South Annular Mode, South Atlantic Ocean Dipole and Indian Ocean Dipole. Climatic variability is influencing the ecology SAFS, because it affects the environmental factors, that act as a driver of dispersion of the species. These variables had been interacting together in the region of the breeding colonies, and possibly during the fur seals’ journey towards the Brazilian coast. Considering the current scenario of global climate change, we expect that SAFS will continue to disperse to areas beyond their regular distribution, not only in the direction of the coasts of southern continents, but also further south, towards higher latitudes.
Description:
SUPPLEMENTARY MATERIAL 1 : ONLINE RESOURCE 1. Data Availability
The data supporting the conclusions of this study are not openly available as they belong to three different institutions. These are: Grupo de Estudos de Mamíferos Aquáticos do Rio Grande do Sul (GEMARS), Laboratório de Ecologia e Conservação da Megafauna Marinha (ECOMEGA), Universidade Federal do Rio Grande (FURG) and Núcleo de Educação e Monitoramento Ambiental (NEMA). The data can be requested from the respective responsible co-authors for each institution, upon reasonable request. Affiliation and contact information for the responsible co-authors from each institution have been provided in the "Title Page" of this article.
SUPPLEMENTARY MATERIAL 2 : ONLINE RESOURCE 2. Results of Akaike Information Criterion (AIC) values for lags of 2 to 7 months for the seasonality (sine and cosine) and climate modes model in the period from 1991 to 2013, and for the model of climate variables chlorophyll anomalies (aChlor) and sea surface temperature anomalies (aSST) in the period from 1998 to 2013. Bold indicates the results with the lowest AIC values, which are the models discussed in the paper. ONLINE RESOURCE 3. Results of the Akaike Information Criterion (AIC) values for the models tested during the Backward Stepwise Regression process. The full model corresponds to model 1 with all seasonality (sine and cosine) and climate modes variables with a 4-month lag in the period from 1991 to 2013. Bold indicates the time when the Backward Stepwise Regression reaches the lowest AIC value. The variables that remained in the model were those discussed in the paper. For model 4, it was not necessary to carry out the Backward Stepwise Regression process, because the model only presented the environmental variables of chlorophyte anomalies (aChlor) and sea surface temperature anomalies (aSST) interacting. (*) interaction of variables.