Digital twins: dynamic model-data fusion for ecology.

Saved in:
Bibliographic Details
Title: Digital twins: dynamic model-data fusion for ecology.
Authors: de Koning K; Wageningen University and Research, Environmental Systems Analysis Group, P.O. Box 47, 6700, AA, Wageningen, The Netherlands., Broekhuijsen J; Nederlandse organisatie voor toegepast natuurwetenschappenlijk onderzoek - TNO, Department of Monitoring & Control Services, Eemsgolaan 3, 9727 DW Groningen, The Netherlands., Kühn I; Helmholtz Centre for Environmental Research - UFZ, Department of Community Ecology, Theodor-Lieser-Strasse, 4, 06120 Halle, Germany; Martin Luther University Halle-Wittenberg, Institute for Biology/Geobotany & Botanical Garden, Große Steinstraße 79/80, 06108 Halle, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103 Leipzig, Germany., Ovaskainen O; Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35 (Survontie 9C), FI-40014 Jyväskylä, Finland; Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, P.O. Box 65, Helsinki 00014, Finland; Department of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim N-7491, Norway., Taubert F; Helmholtz Centre for Environmental Research - UFZ, Department of Ecological Modelling, Permoserstr. 15, 04318 Leipzig, Germany., Endresen D; University of Oslo, Natural History Museum, Sars gate 1, NO-0562 Oslo, Norway. Electronic address: dag.endresen@nhm.uio.no., Schigel D; Global Biodiversity Information Facility - GBIF Secreteriat, Universitetsparken 15, DK-2100 Copenhagen Ø, Denmark., Grimm V; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103 Leipzig, Germany; Helmholtz Centre for Environmental Research - UFZ, Department of Ecological Modelling, Permoserstr. 15, 04318 Leipzig, Germany; University of Potsdam, Plant Ecology and Nature Conservation, Am Mühlenberg 3, 14476 Potsdam, Germany.
Source: Trends in ecology & evolution [Trends Ecol Evol] 2023 Oct; Vol. 38 (10), pp. 916-926. Date of Electronic Publication: 2023 May 18.
Publication Type: Journal Article; Review; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Science Publishers Country of Publication: England NLM ID: 8805125 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8383 (Electronic) Linking ISSN: 01695347 NLM ISO Abbreviation: Trends Ecol Evol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-8383
DOI:10.1016/j.tree.2023.04.010