The assessment of clam yield potential and the identification of suitable sites for clam rearing are a necessary step to improve the economic and environmental sustainability of the exploitation activities in a regulated fishery. We discuss the development, validation and application of a method for estimating the clam yield potential of a northern Adriatic lagoon (Sacca di Goro, Italy) by combining logistic and ordinary regression. Clam yield potential was derived on the basis of six environmental parameters, namely sediment type, dissolved oxygen, salinity, hydrodynamism, water depth and chlorophyll "a". Density data were positively skewed and contained a substantial proportion of zero values due to the patchy-distribution of Tapes philippinarum. The original data set was divided in two parts: one indicating if T. philippinarum was present or not and the other indicating the abundance of the species when it was present. The presence data was modelled by using logistic regression and ...

Estimating clam yield potential in the Sacca di Goro lagoon by using a two part conditional model

ROSSI, Remigio;
2006

Abstract

The assessment of clam yield potential and the identification of suitable sites for clam rearing are a necessary step to improve the economic and environmental sustainability of the exploitation activities in a regulated fishery. We discuss the development, validation and application of a method for estimating the clam yield potential of a northern Adriatic lagoon (Sacca di Goro, Italy) by combining logistic and ordinary regression. Clam yield potential was derived on the basis of six environmental parameters, namely sediment type, dissolved oxygen, salinity, hydrodynamism, water depth and chlorophyll "a". Density data were positively skewed and contained a substantial proportion of zero values due to the patchy-distribution of Tapes philippinarum. The original data set was divided in two parts: one indicating if T. philippinarum was present or not and the other indicating the abundance of the species when it was present. The presence data was modelled by using logistic regression and ...
2006
Vincenzi, S.; Caramori, G.; Rossi, Remigio; De Leo, G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/522590
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