Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/83833
Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Miškotyra / Forestry (A004)
Author(s): Linkevičius, Edgaras;Kuliešis, Andrius;Röhle, Heinz;Schröder, Jens
Title: The new forest growth modelling approach in Lithuania: single tree level models
Is part of: Rural development 2011 : 5th international scientific conference, 24-25 November, 2011, Akademija : proceedings. Akademija : Aleksandras Stulginskis University, Vol. 5, b. 2 (2011)
Extent: p. 74-81
Date: 2011
Keywords: Single tree level models;Competition indices;Tree diameter increment;Height increment;Mortality
Abstract: Single tree level models simulate mixed or pure stands of different age and structure, provide more flexible possibilities and alternatives in forest management. Therefore, these forest management tools could be very useful in solving present and future challenges in Lithuanian forestry sector: increasing proportions of mixed, uneven aged forests, diverse needs of wood industry, economic forest management efficiency. Yet, these models are not used in Lithuania. The aim of this study was to introduce single tree level modelling approach, to do critical qualitative assessment of single tree level models and their core elements id., competition, tree diameter, height increment and mortality modules. The main criteria for evaluation were set as follows: logic and biological realism of the model, data availability required for the model, evaluation of independent parameters used in the model, modelling simplicity, applicability to local conditions. The main conclusion was that single tree level models could be created and applied to Lithuanian forestry
Internet: https://hdl.handle.net/20.500.12259/83833
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml7.05 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats


CORE Recommender

WEB OF SCIENCETM
Citations 5

3
checked on Feb 27, 2021

Page view(s)

48
checked on Feb 10, 2020

Download(s)

8
checked on Feb 10, 2020

Google ScholarTM

Check


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