Results

eNauka >  Rezultati >  Modelling approaches for mixed forests dynamics prognosis. Research gaps and opportunities
Naziv: Modelling approaches for mixed forests dynamics prognosis. Research gaps and opportunities
Autori: Bravo, Felipe; Fabrika, Marek; Ammer, Christian; Barreiro, Susana; Bielak, Kamil; Coll, Lluis; Fonseca, Teresa; Kangur, Ahto; Löf, Magnus; Merganičová, Katarina;
Pach, Maciej; Pretzsch, Hans; Stojanović, Dejan  ; Schuler, Laura; Peric, Sanja; Rötzer, Thomas; Del, Río Miren; Dodan, Martina; Bravo-Oviedo, Andrés;
Godina: 2019
Publikacija: Forest Systems
ISSN: 2171-9845 Forest Systems Pretraži identifikator
Tip rezultata: Naučni članak
Kolacija: vol. 28 br. 1 str. eR002-eR002
DOI: 10.5424/fs/2019281-14342
WoS-ID: 000470713900006
Scopus-ID: 2-s2.0-85072571706
URI: https://www.cris.uns.ac.rs/record.jsf?recordId=129500&source=eNauka&language=en
https://enauka.gov.rs/handle/123456789/146119
Izvor metapodataka: Migracija
M-kategorija: 
22M22 - Međunarodni časopis kategorije M22

47
SCOPUSTM
19
OpenCitations
37
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.