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Harvest evaluation model and system of fast-growing and high-yield poplar plantation

Authors :
Wu, Baoguo
Qi, Yan
Ma, Chi
Zhang, Hongquan
Source :
Mathematical & Computer Modelling. Jun2010, Vol. 51 Issue 11/12, p1444-1452. 9p.
Publication Year :
2010

Abstract

Abstract: The paper is based on the research of forestry experts’ systems funded by “National Tenth-Five-Year 863 Plan”. In the context of the collective forest rights system reforms, in order to enhance the technological support to the farmers in the fast-growing and high-yield poplar cultivation, and to satisfy the actual needs of related enterprises, the study focuses on the fast-growing and high-yield poplar plantation harvest model and related decision-making criteria. Taking Populus tomentosa Carr as an example, by adopting the age–diameter at breast height growth model, diameter and tree height model, and the dual volume model based on Hebei Province’s data, the age–volume produce model is constructed; by adopting market price of the non-discount method which is relatively easy for farmers, PNW (Present Net Worth) and LEV (Land Expectation Value) calculation methods, the economic benefits evaluation model is established. By using the calculation results of these models as a decision-making benchmark, the growth model, evaluation model and a calculation example of Populus tomentosa Carr are obtained. Based on the above-mentioned studies, the components and functions, model base and model resolver algorithm of the system are designed, and the economic benefits forecast process is set. The result of the research is applied to the “National Eleventh-Five-Year Plan” funded program ”The research and application of key technologies in fast-growing and high-yield plantation production and management process informatization ”. And the application obtains a satisfied result. By using harvest evaluation system to conduct economic benefits analysis of poplar varieties, the farmers and the investors can predict future earnings and make decisions in reforestation. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
08957177
Volume :
51
Issue :
11/12
Database :
Academic Search Index
Journal :
Mathematical & Computer Modelling
Publication Type :
Academic Journal
Accession number :
49819994
Full Text :
https://doi.org/10.1016/j.mcm.2009.10.004