Name
Title | ||
|---|---|---|
Visual Simulation of Techniques and Effects of Thinning of Chinese Fir Plantations with Different Planting Densities |
Abstract | ||
|---|---|---|
The selection of the planting density and the implementation of thinning measures reflect the level of the forest management. The plot of Chinese fir plantation with the size of 30m×30m and different planting densities including 2m×3m, 2m×1.5m and 2m×1m were taken as examples. The Chinese fir stand structure state in specific forecast period and the implementation and effects of thinning were intuitively simulated by using the whole stand model, the Weibull distribution model, the relationship models of the forest inventory factors, the biomass estimation model, the GDI+ technique and the MOGRE technique based on the C# programming language. The results were shown by the comparative charts, 2D and 3D views. It not only can service for selecting the planting density and the thinning measure in a scientific way, but also can offer a straightforward and efficient decision-making platform for improving the tree growth environment, enhancing the level of forest management. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CIT.2012.42 | CIT |
Keywords | Field | DocType |
programming languages,forest management,inventory management,forecasting theory,chinese fir plantation thinning,forestry,weibull distribution model,gdi+ technique,forest inventory factor,thinning,forest inventory factors,decision making,chinese fir plantation,chinese fir plantation plot,planting densities,different planting densities,visual simulation,c# programming language,different planting,relationship model,2d views,thinning measure implementation,chinese fir plantations,weibull distribution,planting density,decision making platform,comparative charts,chinese fir stand structure state,data visualisation,tree growth environment,mogre technique,biomass estimation model,models,chinese fir,whole stand model,chinese fir stand structure,3d views,vegetation | Vegetation,Thinning,Computer science,Forecast period,Simulation,Forest inventory,Weibull distribution,Real-time computing,Sowing,Forecasting theory,Forest management,Agricultural engineering | Conference |
ISBN | Citations | PageRank |
978-1-4673-4873-7 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongliang Li | 1 | 0 | 0.68 |
| Huaiqing Zhang | 2 | 5 | 5.52 |
| Xian Jiang | 3 | 0 | 1.01 |
| Hai Liu | 4 | 0 | 0.68 |
| Ning Zhang | 5 | 0 | 0.34 |
| Yilong Kuang | 6 | 0 | 0.34 |