Title

An Ecosystem‐Based Approach To Marine Risk Assessment

Keywords

coupled natural–human systems; ecosystem risk assessment; ecosystem‐based management; risk assessment; socio‐ecological system

Abstract

Risk assessments quantify the probability of undesirable events along with their consequences. They are used to prioritize management interventions and assess tradeoffs, serving as an essential component of ecosystem‐based management (). A central objective of most risk assessments for conservation and management is to characterize uncertainty and impacts associated with one or more pressures of interest. Risk assessments have been used in marine resource management to help evaluate the risk of environmental, ecological, and anthropogenic pressures on species or habitats including for data‐poor fisheries management (e.g., toxicity, probability of extinction, habitat alteration impacts). Traditionally, marine risk assessments focused on singular pressure‐response relationships, but recent advancements have included use of risk assessments in an context, providing a method for evaluating the cumulative impacts of multiple pressures on multiple ecosystem components. Here, we describe a conceptual framework for ecosystem risk assessment (), highlighting its role in operationalizing, with specific attention to ocean management considerations. This framework builds on the ecotoxicological and conservation literature on risk assessment and includes recent advances that focus on risks posed by fishing to marine ecosystems. We review how examples of s from the United States fit into this framework, explore the variety of analytical approaches that have been used to conduct s, and assess the challenges and data gaps that remain. This review discusses future prospects for s as decision‐support tools, their expanded role in integrated ecosystem assessments, and the development of next‐generation risk assessments for coupled natural–human systems.

Publication Date

1-1-2017

Publication Title

Ecosystem Health and Sustainability

Volume

3

Issue

1

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1002/ehs2.1256

Socpus ID

85026596258 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85026596258

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