dc.contributor.author | Simmonds, Emily Grace | |
dc.contributor.author | Adjei, Kwaku Peprah | |
dc.contributor.author | Cretois, Benjamin | |
dc.contributor.author | Dickel, Lisa | |
dc.contributor.author | González-Gil, Ricardo | |
dc.contributor.author | Laverick, Jack H | |
dc.contributor.author | Mandeville, Caitlin Marie | |
dc.contributor.author | Mandeville, Elisabeth G. | |
dc.contributor.author | Ovaskainen, Otso Tapio | |
dc.contributor.author | Sicacha Parada, Jorge Armando | |
dc.contributor.author | Skarstein, Emma | |
dc.contributor.author | O'Hara, Robert | |
dc.date.accessioned | 2023-12-15T10:50:28Z | |
dc.date.available | 2023-12-15T10:50:28Z | |
dc.date.created | 2023-11-30T10:40:22Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 0169-5347 | |
dc.identifier.uri | https://hdl.handle.net/11250/3107744 | |
dc.description.abstract | Ecological and evolutionary studies are currently failing to achieve complete and
consistent reporting of model-related uncertainty. We identify three key barriers –
a focus on parameter-related uncertainty, obscure uncertainty metrics, and limited recognition of uncertainty propagation – which have led to gaps in uncertainty
consideration. However, these gaps can be closed. We propose that uncertainty
reporting in ecology and evolution can be improved through wider application of
existing statistical solutions and by adopting good practice from other scientific
fields. Our recommendations include greater consideration of input data and
model structure uncertainties, field-specific uncertainty standards for methods
and reporting, and increased uncertainty propagation through the use of hierarchical models. | en_US |
dc.language.iso | eng | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Recommendations for quantitative uncertainty consideration in ecology and evolution | en_US |
dc.title.alternative | Recommendations for quantitative uncertainty consideration in ecology and evolution | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2023 The Authors | en_US |
dc.source.journal | Trends in Ecology & Evolution | en_US |
dc.identifier.doi | 10.1016/j.tree.2023.10.012 | |
dc.identifier.cristin | 2206166 | |
dc.relation.project | Norges forskningsråd:314952 | en_US |
dc.relation.project | Norges forskningsråd: 223257 | en_US |
dc.relation.project | Andre: Academy of Finland (grants 336212 and 345110) | en_US |
dc.relation.project | European Research Council: 856506; ERC-synergy project LIFEPLAN | en_US |
dc.relation.project | European Research Council: HORIZON CL6-2021-BIODIV-01 project 101059492 (Biodiversity Genomics Europe) | en_US |
dc.relation.project | European Research Council: HORIZON-INFRA-2021-TECH-01 project 101057437 (Biodiversity Digital Twin for Advanced Modelling, Simulation, and Prediction Capabilities) | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |