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Accuracy, realism and general applicability of European forest models
Title Accuracy, realism and general applicability of European forest models Title translation Presnosť, realistickosť a všeobecná použitenosť európskych modelov lesa Author Mahnken Mats Co-authors Cailleret Maxime Collalti Alessio Trotta Carlo Biondo Corrado D´Andrea Ettore Dalmonech Daniela Marano Gina Mäkelä Annikki Minunno Francesco Peltoniemi Mikko Trotsiuk Volodymyr Nadal-Sala Daniel Sabaté Santiago Vallet Patrick Aussenac Raphaël Cameron David R. Bohn Friedrich J. Grote Rüdiger Augustynczik Andrey L. D. Yousefpour Rasoul Huber Nica Bugmann Harald Merganičová Katarína 1974 SAVKREKO - Ústav krajinnej ekológie SAV Merganič Ján Valent Peter Lasch-Born Petra Hartig Florian Vega del Valle Iliusi D. Volkholz Jan Gutsch Martin Matteucci Giorgio Krejza Jan Ibrom Andreas Meesenburg Henning Rötzer Thomas van der Maaten-Theunissen Marieke van der Maaten Ernst Reyer C. P. O. Source document Global Change Biology. Vol. 28 (2022), p. 6 921-6 943 Language eng - English Country GB - Great Britian URL URL link Document kind rozpis článkov z periodík (rbx) Keywords eddy-covariance * gap-model * model ensemble * model evaluation * process-based modeling * terrestrial carbon dynamics Citations FOURNIER, S. - SARDIN, T. - DREYFUS, P. - FRANCOIS, D. - MANDRET, X. - SIMEONI, M. - RENAUD, J.P. - AKROUME, E. - BOUVET, A. - BERTHELOT, A. - WERNSDORFER, H. - RIVIERE, M. - SAINTE-MARIE, J. - BRETEAU-AMORES, S. - DE COLIGNY, F. - DELEUZE, C. Dendrometric data from the silvicultural scenarios developed by Office National des Forets (ONF) in France: a tool for applied research and carbon storage estimates. In ANNALS OF FOREST SCIENCE. ISSN 1286-4560, 2022, vol. 79, no. 1, art. no. 48. Dostupné na: https://doi.org/10.1186/s13595-022-01171-7. JEVSENAK, J. - ARNIC, D. - KRAJNC, L. - SKUDNIK, M. Machine Learning Forest Simulator (MLFS): R package for data-driven assessment of the future state of forests. In ECOLOGICAL INFORMATICS. ISSN 1574-9541, 2023, vol. 75, art. no. 102 115. Dostupné na: https://doi.org/10.1016/j.ecoinf.2023.102115. CHUVIECO, E. - YEBRA, M. - MARTINO, S. - THONICKE, K. - GOMEZ-GIMENEZ, M. - SAN-MIGUEL, J. - OOM, D. - VELEA, R. - MOUILLOT, F. - MOLINA, J.R. - MIRANDA, A.I. - LOPES, D. - SALIS, M. - BUGARIC, M. - SOFIEV, M. - KADANTSEV, E. - GITAS, I.Z. - STAVRAKOUDIS, D. - EFTYCHIDIS, G. - BAR-MASSADA, A. - NEIDERMEIER, A. - PAMPANONI, V. - PETTINARI, M.L. - ARROGANTE-FUNES, F. - OCHOA, C. - MOREIRA, B. - VIEGAS, D. Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn. In FIRE-SWITZERLAND. ISSN 2571-6255, 2023, vol. 6, no. 5. Dostupné na: https://doi.org/10.3390/fire6050215. BLANCO, J.A. - LO, Y.H. Latest Trends in Modelling Forest Ecosystems: New Approaches or Just New Methods? In CURRENT FORESTRY REPORTS. ISSN 2198-6436, 2023, vol. 9, no. 4, p. 219-229. Dostupné na: https://doi.org/10.1007/s40725-023-00189-y. Category ADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted) Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2022 Registered in WOS Registered in SCOPUS Registered in CCC DOI 10.1111/gcb.16384 
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rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore A rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2022 2021 13.212 Q1 3.685 Q1
Number of the records: 1