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Dong, Chen
- Algorithms of Thinning Simulation for Timber Plantation - a Case Study of Chinese Fir
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Authors
Affiliations
1 College of Information Science and Technology, Beijing Forestry University, Beijing, CN
1 College of Information Science and Technology, Beijing Forestry University, Beijing, CN
Source
Nature Environment and Pollution Technology, Vol 15, No 2 (2016), Pagination: 429-436Abstract
Thinning parameters, such as stand initial density, thinning time, number of thinning, thinning interval, intensity, and cutting age, were analyzed; constraints of these parameters were established. Based on these parameters, two algorithms were proposed. One algorithm was used to calculate volume harvest based on thinning parameters to determine the function of the predicted stand volume harvest via various thinning strategies. The other algorithm was used to develop an enumeration iterative algorithm based on the largest volume yield that can be obtained via an optimal thinning strategy. A decision support system of thinning simulation based on these algorithms was developed. Growth and yield models related to Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) were selected as research examples. When the initial stand was 4000 stems per hectare, site index was 16 meters and cutting age was 30 years, the Chinese fir stand can yield at most 906.74 m3/ha and 940.74 m3/ha if thinned once and twice with the corresponding and proposed thinning strategies, respectively.Keywords
Timber Plantation, Thinning Simulation, Forest Harvesting, Algorithms, Chinese Fir.References
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- Study on the R-Based Dynamic Construction Techniques for Stand Density Management Diagrams
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Authors
Affiliations
1 School of Information Science and Technology of Beijing Forestry University, Beijing 100083, CN
1 School of Information Science and Technology of Beijing Forestry University, Beijing 100083, CN
Source
Nature Environment and Pollution Technology, Vol 16, No 4 (2017), Pagination: 1165-1173Abstract
With an investigation into the procedure and techniques involved in constructing a stand density management diagram (SDMD) and in light of users’ real needs, this study designs a system for the dynamic construction of SDMDs based on R language, for the purpose of overcoming the complexities of model fitting in producing a diagram, the difficulties in constructing a diagram and the high demands for users’ expertise. The interactive modelling technique between C# language and R language is applied to the research, with which different sets of model fitting results are compared and optimal results are chosen. The whole procedure, from data collection, model fitting (including outlier data elimination, prototype model fitting and model testing) and diagram construction, is streamlined and automated. Continuous forest inventory data for the Larix principis-rupprechtii plantation in China’s Inner Mongolia is used and two sets of prototype fitting results of the SDMD are compared. With equivalent height curves as the example, this paper makes the goodness of fit of the binomial theory of density effect (R2=0.9231) better than that of the power theory of density effect (R2=0.8354). The model with the best goodness of fit is finally selected for the dynamic construction of a SDMD. Application of this generated SDMD indicates a relatively high accuracy and practical value.Keywords
Stand Density Management Diagram (SDMD), R Language, Larix principis-rupprechtii.- Improvement and Compilation of Density Management Diagram of Larix principis-rupprechtii Mayr Forest in Northern Hebei
Abstract Views :88 |
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Authors
Affiliations
1 School of Information Science and Technology, Beijing Forestry University, Beijing 100083, CN
2 School of Information Engineering, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, CN
1 School of Information Science and Technology, Beijing Forestry University, Beijing 100083, CN
2 School of Information Engineering, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, CN