Nowadays, forests are being managed for multiple uses. The basic requirement of multiple use forestry is to identify and quantify forest values and to determine management objectives. The priorities of management obje...Nowadays, forests are being managed for multiple uses. The basic requirement of multiple use forestry is to identify and quantify forest values and to determine management objectives. The priorities of management objectives, however, must be decided. In this study, a model predicting water production for multi-objective forest management was developed. The model was based on data from permanent sample plots. The data were gathered from 132 sample plots. Approximately 80% of the observations were used for model development and 20% for validation. The model was designed for even-aged forests, as well as for forests with mixed and pure species composition. The explicatory variable in the model was number of trees. All parameter estimates were found highly significant （P 〈 0.001） in predicting water production. The model fit and validation tests were fairly good. The water production model presented in this study was considered to have an appropriate level of reliability. planning, but, it should be limited to the conditions for which the data It can be used in the overall multi-objective forest management were gathered.展开更多
文摘Nowadays, forests are being managed for multiple uses. The basic requirement of multiple use forestry is to identify and quantify forest values and to determine management objectives. The priorities of management objectives, however, must be decided. In this study, a model predicting water production for multi-objective forest management was developed. The model was based on data from permanent sample plots. The data were gathered from 132 sample plots. Approximately 80% of the observations were used for model development and 20% for validation. The model was designed for even-aged forests, as well as for forests with mixed and pure species composition. The explicatory variable in the model was number of trees. All parameter estimates were found highly significant （P 〈 0.001） in predicting water production. The model fit and validation tests were fairly good. The water production model presented in this study was considered to have an appropriate level of reliability. planning, but, it should be limited to the conditions for which the data It can be used in the overall multi-objective forest management were gathered.
