The identification of appropriate spatial distribution patterns for the observation, analysis and management of stocks with a persistent spatial structure, such as sea urchins, is a key issue in fish ecology and fisheries research. This paper describes the development and application of a geostatistical approach for determining the spatial distribution and resilience of the sea urchin Paracentrotus lividus population in a fishing ground of western Sardinia (Western Mediterranean). A framework, combining field data collection, experimental modelling and mapping, was used to identify the best-fit semivariogram, taking pre-fishing and the post-fishing times into consideration. Variographic analyses indicate autocorrelation of density at small distances, while the isotropic Gaussian and spherical models are suitable for describing the spatial structure of sea urchin populations. The point kriging technique highlights a generally patchy population distribution that tends to disappear during the fishing season. Kriging maps are also useful for calculating predictable stock abundances, and thus mortality rates, by class diameters within six months of fishing. We conclude that the framework proposed is adequate for biomass estimation and assessment of sea urchin resource. This can therefore be regarded as a useful tool to encourage a science-based management of this fishery

Spatial distribution patterns and population structure of the sea urchin Paracentrotus lividus (Echinodermata: Echinoidea), in the coastal fishery of western Sardinia: a geostatistical analysis.

ADDIS, PIERANTONIO;SECCI, MARCO;ANGIONI, ALBERTO;CAU, ANGELO
2012-01-01

Abstract

The identification of appropriate spatial distribution patterns for the observation, analysis and management of stocks with a persistent spatial structure, such as sea urchins, is a key issue in fish ecology and fisheries research. This paper describes the development and application of a geostatistical approach for determining the spatial distribution and resilience of the sea urchin Paracentrotus lividus population in a fishing ground of western Sardinia (Western Mediterranean). A framework, combining field data collection, experimental modelling and mapping, was used to identify the best-fit semivariogram, taking pre-fishing and the post-fishing times into consideration. Variographic analyses indicate autocorrelation of density at small distances, while the isotropic Gaussian and spherical models are suitable for describing the spatial structure of sea urchin populations. The point kriging technique highlights a generally patchy population distribution that tends to disappear during the fishing season. Kriging maps are also useful for calculating predictable stock abundances, and thus mortality rates, by class diameters within six months of fishing. We conclude that the framework proposed is adequate for biomass estimation and assessment of sea urchin resource. This can therefore be regarded as a useful tool to encourage a science-based management of this fishery
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/96761
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