Modelling framework to evaluate societal effects of ecosystem management

Laura Uusitalo, Riikka Puntila-Dodd, Janne Artell, Susanna Jernberg

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

1 Citeringar (Scopus)
28 Nedladdningar (Pure)

Sammanfattning

The ecosystem effects of different management options can be predicted through models that simulate the ecosystem functioning under different management scenarios. Optimal management strategies are searched by simulating different management (and other, such as climate) scenarios and finding the management measures that produce desirable results. The desirability of results is often defined through the attainment of policy objectives such as good environmental/ecological status. However, this often does not account for societal consequences of the environmental status even though the consequences can be different for different stakeholder groups. In this work we introduce a method to evaluate management alternatives in the light of the experiential value of stakeholder groups, using a case study in the Baltic Sea. We use an Ecopath with Ecosim model to simulate the ecosystem responses to management and climate scenarios, and the results are judged based on objectives defined based on a stakeholder questionnaire on what aspects of the ecosystem they value or detest. The ecosystem responses and the stakeholder values are combined in a Bayesian decision support model to illustrate which management options bring the highest benefits to stakeholders, and whether different stakeholder groups benefit from different management choices. In the case study, the more moderate climate scenario and strict fisheries and nutrient loading management brought the highest benefits to all stakeholders. The method can be used to evaluate and compare the effects of different management alternatives to various stakeholder groups, if their preferences are known.
OriginalspråkEngelska
Artikelnummer165508
TidskriftScience of the Total Environment
Volym898
DOI
StatusPublicerad - 10 nov. 2023
Externt publiceradJa
MoE-publikationstypA1 Tidskriftsartikel-refererad

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