基于本体规则和案例推理相结合的树木生长模拟--以杉木为例

Integrating Rule-Based and Case-Based Reasoning for Simulation of Tree Growth: A Case of Cunninghamia lanceolata

采用本体规则推理和案例推理相结合的方法表达树木生长与其周围环境之间的复杂关系。通过建立面向森林生态领域的本体知识库来存储相应的本体、规则和案例,基于规则和案例推理开展树木种植适宜性判断以及树木立地质量评价;根据立地质量估算树木生长参数,以三维可视化的方式对不同环境下树木生长进行模拟。以福建省顺昌县浦上林场杉木为例,对本文提出的方法进行准确度验证,语义推出的立地指数精度达到80%。试验结果表明,该方法为描述树木生长与环境之间的复杂关系提供了一种语义表达和推理途径,为不同环境下树木生长预测研究提供了一个可行的方法。

In this paper, we proposed an integrated approach combining the rule-based and case-based reasoning to express the complex relationship between tree growth and the environment. The determination of the judgment of the tree planting suitability, and the evaluation of the tree site quality are performed on the basis of rules and cases stored in the ontology-based knowledge base. Tree growth under different environment is simulated by means of the three-dimensional visualization technique, in which the parameters of tree growth are estimated by the site quality. Taking Shunchang forest farm in Pushang country of Fujian Cunninghamia lanceolata as an example, the accuracy of site index reaches 80%. The experimental results show that the proposed method can solve the complex relationship problem between tree growth and the environment. In addition, it provides a feasible method to predict the tree growth under different environment.