| Fast-growing and high-yield plantation now has become an important access to meet the continuously increasing needs of timber and resolve the conflict of relative forest resources insufficiency,since at present global natural forests are gradually decreasing,and each country has paid more attention to ecological environmental protection.In China, fast-growing and high-yield plantation has been figured into national important policies of technology and industry.After initiated in Hebei province since middle 1980s,the fast-growing and high-yield plantation base has played a vital role in forestation enhancement,ecological environmental optimization,forestry industrialization acceleration,forestry sustainable development advancement,and earning increment of farmers in forested areas.Long periodicity and irreversibility of forest growth usually defer results of forestation decision-making for more than ten years,or even decades.Therefore, provision of advanced and accurate technologies of fast-growing woods cultivation and management to masses of forestry production departments at the basic level and farmers in forested areas has now become particularly important.In this paper,poplar trees in Hebei province were studied as the research object. Based on one scientific research task of the national 11th Five-Year Science and Technology Supported Planning-Study and Application of Key Information Technologies in Fast-growing and High-yield Plantation Production and Operation Process,key technologies and methods in the decision-making process of fast-growing woods cultivation and management were studied,and an information system relevant is constructed.The main contents and results of this study are as follows:(1) In order to solve the problems of unavailable knowledge of traditional fast-growing woods cultivation as well as difficulty of its direct application into computer systems,based on forest management inventory data of Hebei province and data of resolved woods collected by FARO 3D laser scanner,rough set theory and decision tree algorithm in data mining technology were used,and corresponding relationship rules of poplar trees between land conditions and growth situation in are extracted.(2) A compound way of knowledge expression suitable for fast-growing woods cultivation knowledge was used on the basis of analysis of common way of knowledge expression and fast-growing woods cultivation knowledge as well.Also,design of knowledge base and implementation of inference engine were studied.(3) In order to achieve the quantified decision-making of fast-growing woods cultivation,based on the analysis of forest stand growth and yield models commonly used at present,a general forest stand growth and yield model base and a model resolver are designed and released in the form of Web Services.(4) In order to enable decision maker a more directviewing cognition towards forests growth situation in subcompartments and make results of decision-making more direct, stand scenes 3D visualization was studied and main train of thought of 3D stand scenes construction is given.A landform simulation algorithm based on large scale DEM data is proposed.Also,by using 3D max and SpeedTree as modeling tools,a 3D model base of single tree is designed by resolving single tree 3D model into tree trunk model and tree crown model.Tree height,diameter at breast height and crown diameter were taken advantage as corrected parameters of single tree 3D model to generate single tree growth model which matches factual growth situation well,and the matchup of single tree 3D model and landform was studied.(5) A decision support system prototype of fast-growing poplar trees in Hebei province is implemented by information technology on the foundation of studies above.Functions of this prototype system include forest resources data management,knowledge and rules management,forest stand growth and yield models management,single tree 3D models management,forest cultivation management as well as stand scenes 3D visualization. |
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