Different approaches for studying fish production: A review
Biased viewpoints of fisheries researchers may impede scientific advancement and successful management if factors influencing productivity are not recognized. We analyzed 564 peer-reviewed published articles between 1966 and 2012 that looked at salmonid development or proxy factors (e.g. production, development, productivity, populace) and grouped these under five main explanatory variables classifications: physical environment, productivity (i.e. minerals, bottom-up), microbial, weather, and contamination. The review showed that river researchers predominantly examined physical habitat (65% of studies) and lake investigators actions are determined biodiversity (45%) and biotic (51%) factors. However, inadequately factors have also been statistically important predictors of output for lake and river systems and in conjunction with other data, indicate that unwarranted prior hypotheses can determine the selection of predictor factors evaluated. Increased awareness of possible limiting factors for fish production, increased research activity on under-studied genera, and increased publication in broad-based journals would likely encourage convergence between lentic and lotic viewpoints and enhance fisheries management.