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Predicting the Precision of Creel Survey Estimates of Fishing Effort by use of Climatic Variables
Author(s) -
Malvestuto Stephen P.,
Davies William D.,
Shelton William L.
Publication year - 1979
Publication title -
transactions of the american fisheries society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.696
H-Index - 86
eISSN - 1548-8659
pISSN - 0002-8487
DOI - 10.1577/1548-8659(1979)108<43:ptpocs>2.0.co;2
Subject(s) - fishing , environmental science , econometrics , fishery , mathematics , biology
A multiple regression equation was developed which explained 83% of the variation in the precision (CV E ) of monthly creel survey estimates of fishing effort on West Point Reservoir, Georgia‐Alabama, over a 24‐month period. The equation is CV E = 34.678 ‐ 1.154(TEM) + 9.274 (SD T ) + 84.942 (RAIN) ‐ 38.854 (SD R ), where TEM = mean daily air temperature for a particular month; RAIN = mean daily rainfall for that particular month; and SD T and SD R = the standard deviations of daily air temperature and rainfall for that same month, respectively. The constants in the regression equation may be specific to West Point Reservoir, but the climatic variables are certainly of general importance. The model reflects the environmental basis for the variation associated with creel survey estimates of fishing effort, and provides a means of optimally allocating sampling effort prior to implementation of a survey.