R. Bulmer , K. Paul-Burke , M. Ranapia , J. Ellis , C. Bluett , T. O'Brien , J. Burke , G. Petersen , F. Stephenson
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引用次数: 0
Abstract
Weaving place-based indigenous and western ecological knowledge offers a pathway to address many environmental challenges. Anthropogenic impacts are driving degradation in ecological and environmental health in many estuaries throughout the world. This study worked with Ngāti Awa (Indigenous Māori tribe of Aotearoa New Zealand) elders and researchers to develop a hybrid of two modelling approaches (a species distribution model and bayesian network model) to weave together Indigenous and western based ecological knowledge. Research was centred in a placed based Indigenous led management initiative to reverse rapid declines in subtidal mussels (kuku, Perna canaliculus) within Ōhiwa Harbour (Aotearoa New Zealand). Outputs were tailored to assist informed decision-making for Ngāti Awa with the added intention that a similar approach could be built upon elsewhere to aid other coastal Māori tribes to tackle ecological degradation. Results identified optimal mussel restoration locations, aligning strongly with Indigenous knowledge of traditional mussel beds. Success of research outcomes was driven by place based Indigenous co-development and leadership, increasingly the likelihood that findings will be implemented by management to help restore mussel beds.
期刊介绍:
Ocean & Coastal Management is the leading international journal dedicated to the study of all aspects of ocean and coastal management from the global to local levels.
We publish rigorously peer-reviewed manuscripts from all disciplines, and inter-/trans-disciplinary and co-designed research, but all submissions must make clear the relevance to management and/or governance issues relevant to the sustainable development and conservation of oceans and coasts.
Comparative studies (from sub-national to trans-national cases, and other management / policy arenas) are encouraged, as are studies that critically assess current management practices and governance approaches. Submissions involving robust analysis, development of theory, and improvement of management practice are especially welcome.