dc.contributor.author | Schuwirth, N. | |
dc.contributor.author | Borgwardt, F. | |
dc.contributor.author | Domisch, S. | |
dc.contributor.author | Friedrichs, M. | |
dc.contributor.author | Kattwinkel, M. | |
dc.contributor.author | Kneis, D. | |
dc.contributor.author | Kuemmerlen, M. | |
dc.contributor.author | Langhans, S.D. | |
dc.contributor.author | Martínez-López, J. | |
dc.contributor.author | Vermeiren, P. | |
dc.date.accessioned | 2020-06-23T09:44:38Z | |
dc.date.available | 2020-06-23T09:44:38Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Ecological Modelling 411 : 108784 (2019) | |
dc.identifier.issn | 0304-3800 | |
dc.identifier.uri | http://hdl.handle.net/10810/44131 | |
dc.description.abstract | Understanding 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.sponsorship | This 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.iso | eng | |
dc.publisher | Elsevier | |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/642317 | |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/748625 | |
dc.relation | info:eu-repo/grantAgreement/MINECO/MDM-2017-0714 | |
dc.relation | ES/1PE/MDM-2017-0714 | |
dc.relation | EUS/BERC/BERC.2018-2021 | |
dc.relation.uri | https://dx.doi.org/10.1016/j.ecolmodel.2019.108784 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/es/ | |
dc.title | How to make ecological models useful for environmental management | |
dc.type | info:eu-repo/semantics/review | |
dc.rights.holder | (c) 2019 The Author(s). Published by Elsevier B.V. | |
dc.identifier.doi | 10.1016/j.ecolmodel.2019.108784 | |
dc.contributor.funder | European Commission | |