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dc.contributor.authorSchuwirth, N.
dc.contributor.authorBorgwardt, F.
dc.contributor.authorDomisch, S.
dc.contributor.authorFriedrichs, M.
dc.contributor.authorKattwinkel, M.
dc.contributor.authorKneis, D.
dc.contributor.authorKuemmerlen, M.
dc.contributor.authorLanghans, S.D.
dc.contributor.authorMartínez-López, J.
dc.contributor.authorVermeiren, P.
dc.date.accessioned2020-06-23T09:44:38Z
dc.date.available2020-06-23T09:44:38Z
dc.date.issued2019
dc.identifier.citationEcological Modelling 411 : 108784 (2019)
dc.identifier.issn0304-3800
dc.identifier.urihttp://hdl.handle.net/10810/44131
dc.description.abstractUnderstanding and predicting the ecological consequences of different management alternatives is becoming increasingly important to support environmental management decisions. Ecological models could contribute to such predictions, but in the past this was often not the case. Ecological models are often developed within research projects but are rarely used for practical applications. In this synthesis paper, we discuss how to strengthen the role of ecological modeling in supporting environmental management decisions with a focus on methodological aspects. We address mainly ecological modellers but also potential users of modeling results. Various modeling approaches can be used to predict the response of ecosystems to anthropogenic interventions, including mechanistic models, statistical models, and machine learning approaches. Regardless of the chosen approach, we outline how to better align the modeling to the decision making process, and identify six requirements that we believe are important to increase the usefulness of ecological models for management support, especially if management decisions need to be justified to the public. These cover: (i) a mechanistic understanding regarding causality, (ii) alignment of model input and output with the management decision, (iii) appropriate spatial and temporal resolutions, (iv) uncertainty quantification, (v) sufficient predictive performance, and (vi) transparent communication. We discuss challenges and synthesize suggestions for addressing these points. © 2019 The Author(s)
dc.description.sponsorshipThis paper was initialized during a special session on Ecological Modelling at the 10th Symposium for European Freshwater Science 2017 ( http://www.sefs10.cz/ ) and further developed during the AQUACROSS project, funded by European Union's Horizon 2020 research and innovation programme (Grant agreement No. 642317 ). SD, SDL and MF were partly funded by the “GLANCE” project (Global Change Effects in River Ecosystems; 01 LN1320A) through the German Federal Ministry of Education and Research ( BMBF ). SDL has received additional funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 748625 . JML acknowledges the support of the Spanish Government through María de Maeztu excellence accreditation 2018–2021 (Ref. MDM-2017-0714 ).
dc.language.isoeng
dc.publisherElsevier
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/642317
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/748625
dc.relationinfo:eu-repo/grantAgreement/MINECO/MDM-2017-0714
dc.relationES/1PE/MDM-2017-0714
dc.relationEUS/BERC/BERC.2018-2021
dc.relation.urihttps://dx.doi.org/10.1016/j.ecolmodel.2019.108784
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.titleHow to make ecological models useful for environmental management
dc.typeinfo:eu-repo/semantics/review
dc.rights.holder(c) 2019 The Author(s). Published by Elsevier B.V.
dc.identifier.doi10.1016/j.ecolmodel.2019.108784
dc.contributor.funderEuropean Commission


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(c) 2019 The Author(s). Published by Elsevier B.V.
Except where otherwise noted, this item's license is described as (c) 2019 The Author(s). Published by Elsevier B.V.