Book chapter
Managing fisheries in light of complexity and chaos theories
Manuel Ferreira (Ferreira, M. A. M.); José Filipe (Filipe, J.); Manuel Francisco Pacheco Coelho (Coelho, M.); Maria Isabel Pedro (Pedro, M. I.C.);
Book Title
Chaos and complexity theory for management: nonlinear dynamics
Year (definitive publication)
2013
Language
English
Country
United States of America
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Abstract
Chaos theory - and models related to non-linear dynamic systems - has increased in importance in recent decades. In fact, chaos is one of the concepts that has most rapidly expanded in research topics. Chaos is ordinarily disorder or confusion; scientifically, it represents a disarray connection, but basically, it involves much more than that. Change and time are closely linked, and they are essential when considered together as chaos theory foundations are intended to be understood. Given the large number of applications in several areas, the goal of this work is to present chaos theory - and dynamical systems such as the theories of complexity - in terms of the interpretation of ecological phenomena. The theory of chaos applied in the context of ecological systems, especially in the context of fisheries, has allowed the recognition of the relevance of this kind of theories to explain fishing events. It raised new advances in the study of marine systems, contributing to the preservation of fish stocks.
Acknowledgements
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Keywords
  • Mathematics - Natural Sciences
  • Agriculture, Forestry and Fisheries - Agriculture Sciences
  • Economics and Business - Social Sciences

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