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The Future of Modeling to Support Conservation Decisions in the Anthropocene Ocean

Citation

Plaganyi, E and Fulton, EA, The Future of Modeling to Support Conservation Decisions in the Anthropocene Ocean, Conservation for the Anthropocene Ocean: Interdisciplinary Science in Support of Nature and People, Academic Press Ltd Elsevier Science Ltd, PS Levin, MR Poe (ed), London, United Kingdom, pp. 423-446. ISBN 9780128053751 (2017) [Research Book Chapter]

Copyright Statement

Copyright 2017 Elsevier Inc.

DOI: doi:10.1016/B978-0-12-805375-1.00020-9

Abstract

Management and conservation of components of the Anthropocene Ocean are becoming significantly more challenging by ever increasing complexity, as the number and types of ocean users increase in synchrony with growing interdependencies between the ecosystem and human well-being. In addition, climate change and ocean acidification are fundamentally changing ocean conditions. Effective conservation will entail synthesizing information across a broad range of disciplines, dealing with nonstationary complexity and a high degree of uncertainty. Modeling is a valuable tool for synthesizing and analyzing this complexity, as well as simulating alternative scenarios that would be impossible to test empirically. We provide several examples of how socioecological frameworks and two-way dynamic feedbacks can be incorporated into marine conservation models and decision support. Modeling provides a means for initiating and supporting discussions around potential future threats and responses, of identifying risks and trade-offs in meeting multiple and potentially conflicting objectives, and informing on ways to avoid undesirable tipping points.

Item Details

Item Type:Research Book Chapter
Keywords:ecosystem models, human behavior, risk management, socioecological
Research Division:Environmental Sciences
Research Group:Ecological Applications
Research Field:Ecological Applications not elsewhere classified
Objective Division:Environment
Objective Group:Ecosystem Assessment and Management
Objective Field:Ecosystem Assessment and Management of Marine Environments
UTAS Author:Fulton, EA (Dr Elizabeth Fulton)
ID Code:124558
Year Published:2017
Deposited By:Sustainable Marine Research Collaboration
Deposited On:2018-02-26
Last Modified:2018-03-21
Downloads:0

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