iForest - Biogeosciences and Forestry


Facilitating objective forest land use decisions by site classification and tree growth modeling: a case study from Vietnam

Nguyen Dang Cuong (1-2)   , Mues Volker (1), Michael Köhl (1)

iForest - Biogeosciences and Forestry, Volume 12, Issue 6, Pages 542-550 (2019)
doi: https://doi.org/10.3832/ifor2945-012
Published: Dec 17, 2019 - Copyright © 2019 SISEF

Research Articles

Onsite information pertaining to forest growth potential is a significant prerequisite for selecting suitable forest plantation locations and safeguards sustainable timber production and income generation. In the scope of forest landscape restoration, the selection of the most suitable sites for reforestation remains a major issue. The current study introduces an operational, objective, and straightforward methodology for the identification and prioritization of sites that are suitable for forest plantations. The methodology is based on an approach that combines land use suitability assessment with site-specific growth and yield predictions. The land use suitability assessment is based on a methodological framework presented by the Food and Agriculture Organization (FAO). In a study area in Vietnam four different suitability classes are defined for the species Acacia mangium (A. mangium). Field assessments in existing A. mangium plantations were utilized to develop yield models. Among the Korf, Gompertz, and Chapman-Richards growth equations Korf performed the best for all suitability classes. Prioritization of sites is realized by the analytical hierarchy process (AHP). Our study offers a pragmatic approach for selecting the most suitable sites for large-scale forest restoration activities. Integrating growth and yield predictions supports reforestation practices and promotes sustainable timber production.


Acacia mangium, Suitability, Analytical Hierarchy Process, Volume Growth, Vietnam

Authors’ address

Nguyen Dang Cuong
Mues Volker
Michael Köhl
University of Hamburg, Institute for World Forestry, Leuschnerstr.91, D-21031 Hamburg (Germany)
Nguyen Dang Cuong
Thai Nguyen University of Agriculture and Forestry (Vietnam)

Corresponding author

Nguyen Dang Cuong


Cuong ND, Volker M, Köhl M (2019). Facilitating objective forest land use decisions by site classification and tree growth modeling: a case study from Vietnam. iForest 12: 542-550. - doi: 10.3832/ifor2945-012

Academic Editor

Emanuele Lingua

Paper history

Received: Aug 08, 2018
Accepted: Aug 27, 2019

First online: Dec 17, 2019
Publication Date: Dec 31, 2019
Publication Time: 3.73 months

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