Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 501349
Title New approaches to the ecological risk assessment of multiple stressors
Author(s) Brink, Paul J. Van Den; Choung, Catherine Bo; Landis, Wayne; Mayer-Pinto, Mariana; Pettigrove, Vincent; Scanes, Peter; Smith, Rachael; Stauber, Jenny
Source Marine and Freshwater Research 67 (2016)4. - ISSN 1323-1650 - p. 429 - 439.
DOI http://dx.doi.org/10.1071/MF15111
Department(s) Alterra - Environmental risk assessment
WIMEK
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) adaptive management - anthropogenic stress - aquatic ecosystems.
Abstract

So as to assess how emerging science and new tools can be applied to study multiple stressors at a large (ecosystem) scale and to facilitate greater integration of approaches among different scientific disciplines, a workshop was organised on 10-12 September 2014 at the Sydney Institute of Marine Sciences, Sydney, Australia. The present paper discusses the limitations of the current risk-assessment approaches and how multiple stressors at large scales can be better evaluated in ecological risk assessments to inform the development of more efficient and preventive management policies based on adaptive management in the future. A future risk-assessment paradigm that overcomes these limitations is presented. This paradigm includes cultural and ecological protection goals, the development of ecological scenarios, the establishment of the relevant interactions among species, potential sources of stressors, their interactions and the development of cause-effect models. It is envisaged that this will be achievable through a greater integration of approaches among different scientific disciplines and through the application of new and emerging tools such as 'big data', ecological modelling and the incorporation of ecosystem service endpoints.

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