Thinning trainer based on forest-growth model, virtual reality and computer-aided virtual environment

Environmental Modelling & Software ◽

10.1016/j.envsoft.2017.11.015 ◽

2018 ◽

Vol 100 ◽

pp. 11-23 ◽

Author(s):

Marek Fabrika ◽

Peter Valent ◽

Ľubomír Scheer

Keyword(s):

Virtual Reality ◽

Virtual Environment ◽

Growth Model ◽

Forest Growth ◽

Forest Growth Model ◽

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Unsuspected implications arising from assumptions in simulations: insights from recasting a forest growth model in system dynamics

Forest Ecosystems ◽

10.1186/2197-5620-1-7 ◽

2014 ◽

Vol 1 (1) ◽

pp. 7 ◽

Author(s):

Jerome K Vanclay

Keyword(s):

System Dynamics ◽

Growth Model ◽

Forest Growth ◽

Forest Growth Model

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CenW, a forest growth model with linked carbon, energy, nutrient and water cycles

Ecological Modelling ◽

10.1016/s0304-3800(99)00020-4 ◽

1999 ◽

Vol 118 (1) ◽

pp. 17-59 ◽

Author(s):

Miko U.F. Kirschbaum

Keyword(s):

Growth Model ◽

Forest Growth ◽

Forest Growth Model ◽

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A Forest Growth Model for the Natural Broadleaved Forests in Northeastern Korea

Forests ◽

10.3390/f7110288 ◽

2016 ◽

Vol 7 (12) ◽

pp. 288 ◽

Author(s):

Jiseon Choi ◽

Hyunjin An

Keyword(s):

Growth Model ◽

Forest Growth ◽

Forest Growth Model

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Prediction of soil properties using a process-based forest growth model to match satellite-derived estimates of leaf area index

Remote Sensing of Environment ◽

10.1016/j.rse.2012.08.024 ◽

2012 ◽

Vol 126 ◽

pp. 160-173 ◽

Author(s):

Nicholas C. Coops ◽

Richard H. Waring ◽

Thomas Hilker

Keyword(s):

Soil Properties ◽

Leaf Area Index ◽

Leaf Area ◽

Growth Model ◽

Forest Growth ◽

Forest Growth Model

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Finding the appropriate level of complexity for a simulation model: An example with a forest growth model

Forest Ecology and Management ◽

10.1016/j.foreco.2008.07.016 ◽

2008 ◽

Vol 256 (10) ◽

pp. 1659-1665 ◽

Author(s):

Rasmus Astrup ◽

K. David Coates ◽

Erin Hall

Keyword(s):

Simulation Model ◽

Growth Model ◽

Forest Growth ◽

Forest Growth Model

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Gentan Probability Analysis with a State-Dependent Discrete Forest Growth Model

Journal of Forest Research ◽

10.1007/bf02762495 ◽

2001 ◽

Vol 6 (2) ◽

pp. 101-110 ◽

Author(s):

Atsushi Yoshimoto

Keyword(s):

Growth Model ◽

Forest Growth ◽

Probability Analysis ◽

State Dependent ◽

Forest Growth Model

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Estimation of forest aboveground biomass from HJ1B imagery using a canopy reflectance model and a forest growth model

Geocarto International ◽

10.1080/10106049.2016.1232438 ◽

2016 ◽

Vol 33 (2) ◽

pp. 148-162 ◽

Author(s):

Xinyun Wang ◽

Yige Guo ◽

Jie He ◽

Lingtong Du ◽

Tianhua Hu

Keyword(s):

Growth Model ◽

Aboveground Biomass ◽

Forest Growth ◽

Canopy Reflectance ◽

Forest Growth Model ◽

Reflectance Model ◽

Forest Aboveground Biomass

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Application of a Hybrid Forest Growth Model to Evaluate Climate Change Impacts on Productivity, Nutrient Cycling and Mortality in a Montane Forest Ecosystem

PLoS ONE ◽

10.1371/journal.pone.0135034 ◽

2015 ◽

Vol 10 (8) ◽

pp. e0135034 ◽

Author(s):

Brad Seely ◽

Clive Welham ◽

Kim Scoullar

Keyword(s):

Climate Change ◽

Nutrient Cycling ◽

Growth Model ◽

Forest Ecosystem ◽

Climate Change Impacts ◽

Montane Forest ◽

Forest Growth ◽

Forest Growth Model

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Extending a physiological forest growth model by an observation-based tree competition module improves spatial representation of diameter growth

European Journal of Forest Research ◽

10.1007/s10342-013-0730-1 ◽

2013 ◽

Vol 132 (5-6) ◽

pp. 943-958 ◽

Author(s):

Werner Poschenrieder ◽

Rüdiger Grote ◽

Hans Pretzsch

Keyword(s):

Growth Model ◽

Spatial Representation ◽

Forest Growth ◽

Diameter Growth ◽

Forest Growth Model

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Optimization of selected parameters of the forest growth model Biome-BGC (version ZALF) using HOPSPACK

2017 20th International Conference of Computer and Information Technology (ICCIT) ◽

10.1109/iccitechn.2017.8281845 ◽

2017 ◽

Author(s):

H.M. Mehedi Hasan ◽

Hubert Jochheim ◽

Alfred Schultz

Keyword(s):

Growth Model ◽

Forest Growth ◽

Forest Growth Model

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