Уважаемые коллеги, доброго времени суток! Представляем вам австрийское научное издание Austrian Journal of Forest Science. Журнал имеет четвертый квартиль, издается Osterreichischer Agrarverlag GmbH, его SJR за 2019 г. равен 0,175, печатный ISSN - 0379-5292, предметные области - Лесное хозяйство, Менеджмент, мониторинг, закон и право, Консервация природы и ландшафта, Экология, Динамика изменения и таксономия, Эволюция. Вот так выглядит обложка:
Здесь два редактора: Хуберт Хазенауэр, контактные данные - hubert.hasenauer@boku.ac.at
и Петер Майер - direktion@bfw.gv.at
Это рецензируемое издание лесной науки, охватывающее все аспекты лесных исследований, от фундаментальных до прикладных. К публикации принимаются оригинальные научные статьи на английском языке. Журнал издается университетом природных ресурсов и естественных наук Вены, а также при поддержке австрийского исследовательского центра леса.
Пример статьи, название - Individual-based modelling for predicting height and biomass of juveniles of Shorea robusta. Заголовок (Abstract) - Shorea robusta is one of the most widespread timber species in the forests of southern Nepal. Large parts of Shorea robusta forests of Nepal were degraded in the recent past due to policy conflict between the government and local users. After the introduction of community forestry, these forests have been regenerating gradually and the proportion of juvenile individuals in the forest is now very high. In the absence of biomass models of juvenile individuals, almost all forest inventories are neglecting the contribution of juvenile individuals in total carbon sequestration and storage. To close this knowledge gap, we developed a height and biomass prediction model for juvenile Shorea robusta in Nepal using an individual-based modelling approach. The models were calibrated with data from 110 destructively sampled trees and validated with 45 trees. We tested different model forms to select the best suited height and biomass prediction model. Once the best model form was selected, we calculated several models using different combination of predictor variables (i.e. tree diameter, tree height and wood density). Linear form (coefficient of determination R2 0.80) for height and power form (R2 0.89) for biomass prediction were selected as the best model forms. Product of diameter squared and height (R2 0.91) and product of wood density, diameter squared and height (R2 0.94) for the density-dependent model were the best predictors for biomass model. Due to different input data the predicted biomass by the models of this study differed substantially from biomass predictions using previously developed models of Shorea robusta. Thus, site- and size-specific models are required for accurate predictions of biomass and height of Juvenile of Shorea robusta. The model introduced here is site-specific and its application should be limited to conditions similar to this study.