Holistic Approach to Ecosystem-Based Fisheries Management: Linking Biological Hierarchies for Sustainable Fishing (Hardcover) (ISBN-13: 9783030968465)

Francisco Arregu?-S疣chez is a Professor at the Instituto Polit馗nico Nacional, Centro Interdisciplinario de Ciencias Marinas. Research lines: Dynamics of exploited ecosystems and populations; climate change, and fisheries management. Currently his chief scientific research is in ecosystems dynamics, with a focus on holistic properties like resilience and self-organization, and their response to disturbances caused by climate change and fishing.

Member of the Mexican Academy of Sciences, National Researcher Level 3 of the National System of Researchers. Advisory Professor of East China Normal University. Director at the Centro Interdisciplinario de Ciencias Marinas, IPN, (2001-2004). In 2010 Prof. Arregu?-S疣chez received the L痙aro C疵denas Prize, which was presented by the President of Mexico; he has also received the Prize of Science and Technology, and the Medal of Scientific and Technological Merit, both awarded by the Congress of Baja California Sur State.

FAOconsultant on fisheries research policy, development plans, fisheries management, impact of fishing on ecosystems, and training professionals in fisheries research, in several Latin American countries. In addition to being a Counselor and Member of several scientific committees for scientific research institutions in Mexico, Prof. Arregu?-S疣chez has participated in various international and national evaluation committees for research projects (i.e. the European Union 6th Framework Program, CONICET Argentina, COLCIENCIAS Colombia, CONICYT Chile, and CONACyT Mexico). He is also a former member of the Advisory Board of the Instituto Nacional de Pesca (2003-2007) and current member of the Governing Bodies of several scientific research institutions. He has also contributed to the training of human resources, having adviser of 26 doctoral theses, 34 master's, and has taught more than 130 courses at the graduate level.