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Stay close, but not too close: aerial image analysis reveals patterns of social distancing in seal colonies.
Hoekendijk, J P A; Grundlehner, A; Brasseur, S; Kellenberger, B; Tuia, D; Aarts, G.
Afiliação
  • Hoekendijk JPA; NIOZ Royal Netherlands Institute for Sea Research, 1790AB Den Burg, The Netherlands.
  • Grundlehner A; Wageningen University and Research, 6708PB Wageningen, The Netherlands.
  • Brasseur S; Wageningen University and Research, 6708PB Wageningen, The Netherlands.
  • Kellenberger B; Wageningen Marine Research, Wageningen University and Research, 1781AG Den Helder, The Netherlands.
  • Tuia D; NIOZ Royal Netherlands Institute for Sea Research, 1790AB Den Burg, The Netherlands.
  • Aarts G; Wageningen Marine Research, Wageningen University and Research, 1781AG Den Helder, The Netherlands.
R Soc Open Sci ; 10(8): 230269, 2023 Aug.
Article em En | MEDLINE | ID: mdl-37564067
ABSTRACT
Many species aggregate in dense colonies. Species-specific spatial patterns provide clues about how colonies are shaped by various (a)biotic factors, including predation, temperature regulation or disease transmission. Using aerial imagery, we examined these patterns in colonies on land of two sympatric seal species the harbour seal and grey seal. Results show that the density of grey seals on land is twice as high as that of harbour seals. Furthermore, the nearest neighbour distance (NND) of harbour seals (median = 1.06 m) is significantly larger than that of grey seals (median = 0.53 m). Avoidance at small distances (i.e. social distancing) was supported by spatial simulation when the observed seal locations were shuffled slightly, the frequency of the smallest NNDs (0-25 cm) increased, while the most frequently observed NNDs decreased. As harbour seals are more prone to infectious diseases, we hypothesize that the larger NNDs might be a behavioural response to reduce pathogen transmission. The approach presented here can potentially be used as a practical tool to differentiate between harbour and grey seals in remote sensing applications, particularly in low to medium resolution imagery (e.g. satellite imagery), where morphological characteristics alone are insufficient to differentiate between species.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article