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14 Facts About Carl Walters

1.

Carl Walters was born on 1944 and is an American-born Canadian biologist known for his work involving fisheries stock assessments, the adaptive management concept, and ecosystem modeling.

2.

Carl Walters is one of the main developers of the ecological modelling software Ecopath.

3.

Carl Walters is a recent recipient of the Volvo Environment Prize.

4.

In 2019, Dr Carl Walters became a Member of the Order of British Columbia.

5.

Carl Walters did not go on for a postdoctoral position; instead he almost immediately started working at the University of British Columbia in Vancouver, British Columbia, Canada.

6.

Carl Walters has taken sabbaticals to the International Institute of Applied Systems Analysis in Vienna, the University of Florida, where he is an adjunct professor, and Australia.

7.

Carl Walters has been on the editorial board for multiple journals including the Canadian Journal of Fisheries and Aquatic Sciences, Conservation Ecology, and Ecosystems and has been the associate editor of the Journal of Applied Mathematics and Computation and the Northwest Environmental Journal.

8.

Carl Walters was the editor of the Open Fish Science Journal.

9.

Carl Walters served, and continues to serve, as a consultant to many government agencies.

10.

Carl Walters uses mathematical modeling to understand how to successfully manage harvestable fisheries in a time of high uncertainty.

11.

However, Carl Walters believed that juvenile behavior could explain the density dependent relationship that Beverton and Holt and Barrowman and Myers described.

12.

Carl Walters thought that juvenile behavior, in conjunction with habitat, could explain the density dependency seen when foraging for prey and avoiding predators.

13.

Carl Walters wanted to give scientists a better understanding of the processes that drive density dependent fluctuations in ecosystem statistics.

14.

Carl Walters encourages other scientists, managers, and policy makers to embrace the uncertainty in experiments and decisions and to develop ecosystem models based on the uncertainties in order to make multiple hypotheses instead of just one hypothesis.