Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1254
Title: Paradigm shifts required to promote ecosystem modeling for ecosystem-based fishery management for African inland lakes
Authors: Musinguzi, L.
Natugonza, V.
Ogutu-Ohwayo, R.
Keywords: fishery management
Ecosystem modeling
Africa Great Lakes
modeling platforms
Inland lakes
Issue Date: 2016
Publisher: Elsevier
Series/Report no.: Journal of Great Lakes Research;pp.8
Abstract: Ecosystem-based fishery management (EBFM) is the best option where other fishery management objectives have failed. This makes EBFM important for the African inland lakes and fisheries resources that are among the most threatened in the world despite existing management interventions. Ecosystem modeling provides information that guides EBFM, and, to promote EBFMfor the African inland lakes and fisheries, we present strategies required to promote ecosystemmodeling. The strategies are based on an examination, presented herein, of (i) publication trends in literature applying two leading aquatic ecosystem modeling platforms, Ecopath with Ecosim (EwE) and Atlantis, on the African Great Lakes as representatives of African inland lakes and (ii) deficiencies in data eminent in ecosystem models existing on these lakes. The examination indicated that ecosystem modeling is inactive on the African Great Lakes, and there is limited local and regional capacity for ecosystem modeling with existing models predominantly led by foreign researchers and marred by data deficiencies. The implications of these observations for ecosystem modeling and EBFM for the African Great Lakes are discussed. The strategies required to promote ecosystem modeling include supporting short-term training workshops to equip local scientistswith basic skills for ecosystemmodeling,mainstreaming ecosystemmodeling in fisheries training curriculum of local universities, and conducting data collection surveys to fill data deficiencies. These are envisaged to increase capacity and activate ecosystem modeling, and consequently promote EBFM.
URI: http://hdl.handle.net/123456789/1254
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