Geospatial models are used to predict the distribution of terrestrial and marine species, according to their ecological and ethological habits. The bottlenose dolphin is a cosmopolitan marine top predator, inhabiting most of the ocean, with the exception of polar and subpolar waters. This wide distribution is associated with a remarkable plasticity in ecological and behavioural habits, which makes it difficult to model and predict its distribution. This study proposes a ‘multi-type approach’ to predict the presence and distribution of the bottlenose dolphin in the Pelagos Sanctuary, a Specially Protected Area of Mediterranean Importance located in the north-west Mediterranean Sea. A multi-type model based on random forest regression was developed, analysing the distribution habits of two geographical units living in the Pelagos area. When compared with a classical single-type model, the multi-type model performed much better in a prediction test (true skill statistics, TSS = 85% vs. 52%), confirming the value of this experimental approach. This work suggests that wild species should not be considered as one single-type entity, as local specialization may change and shape their distribution habits.

Species-specific distribution model may be not enough: The case study of bottlenose dolphin (Tursiops truncatus) habitat distribution in Pelagos Sanctuary

Vassallo P.;Paoli C.;
2020-01-01

Abstract

Geospatial models are used to predict the distribution of terrestrial and marine species, according to their ecological and ethological habits. The bottlenose dolphin is a cosmopolitan marine top predator, inhabiting most of the ocean, with the exception of polar and subpolar waters. This wide distribution is associated with a remarkable plasticity in ecological and behavioural habits, which makes it difficult to model and predict its distribution. This study proposes a ‘multi-type approach’ to predict the presence and distribution of the bottlenose dolphin in the Pelagos Sanctuary, a Specially Protected Area of Mediterranean Importance located in the north-west Mediterranean Sea. A multi-type model based on random forest regression was developed, analysing the distribution habits of two geographical units living in the Pelagos area. When compared with a classical single-type model, the multi-type model performed much better in a prediction test (true skill statistics, TSS = 85% vs. 52%), confirming the value of this experimental approach. This work suggests that wild species should not be considered as one single-type entity, as local specialization may change and shape their distribution habits.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1125678
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