Industrial Marine Fishing in the Face of Climate Change in Peru

Table 3

Regression of industrial marine fishery landings based on fishing effort and SST, Peru, 1997-2020.

Coefficients^a
Model		Nonstandardized coefficients		Typified coefficients		Sig.
		B	Error tip.	Beta
1	(Constant)	34702.744	9037.846		3.840	0.001
	Coastal SST, Chimbote weather station (Ancash) 1997-2020 (°C) average	-959.509	395.126	-0.449	-2.428	0.025
	Fishing effort: search time (h)	-864.073	221.942	-0.671	-3.893	0.001
	CPUE: catch/trip	-52.611	25.796	-0.392	-2.039	0.056

^aDependent variable: landings of anchoveta for fishmeal, 1997-2020 (thousands GMT). , . The Durbin-Watson test is around 2 ( indicates no autocorrelation), so the regression is reliable. The coefficient of determination (-squared) means that the independent variables SST, search time, and CPUE have a 77.2% influence on the dependent variable landings of anchoveta for fishmeal.