Literature DB >> 30955730

Developing conceptual models that link multiple ecosystem services to ecological research to aid management and policy, the UK marine example.

Stefanie Broszeit1, Nicola J Beaumont1, Tara L Hooper1, Paul J Somerfield1, Melanie C Austen2.   

Abstract

Our understanding of ecological processes that lead to ecosystem services is still evolving but ecological research aims to understand the linkages between the ecosystem and services. These linkages can affect trade-offs between different ecosystem services. Understanding these linkages, by considering multiple ecosystem services simultaneously supports management of the environment and sustainable use of resources. The UK marine environment is relatively data rich, yet the links between ecosystem and several ecosystem services and linkages between services are poorly described. A workshop with 35 marine scientists was used to create a conceptual model that links ecosystem components and key processes to four services they provide and to highlight trade-offs between them. The model was subsequently further developed to include pressures and mitigating management measures. The models are discussed in terms of their application to marine data to facilitate evidence-based marine management and their usefulness to communicate management measures with managers and stakeholders.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Keywords:  Conceptual model; Expert workshop; Indicators; Management measures; Marine ecosystem services; Trade-offs

Mesh:

Year:  2019        PMID: 30955730     DOI: 10.1016/j.marpolbul.2019.02.051

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  1 in total

Review 1.  History, overview, and governance of environmental monitoring in the oil sands region of Alberta, Canada.

Authors:  Monique G Dubé; Jenna M Dunlop; Carla Davidson; Danielle L Beausoleil; Roderick R O Hazewinkel; Faye Wyatt
Journal:  Integr Environ Assess Manag       Date:  2021-08-06       Impact factor: 3.084

  1 in total

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