Evaluating a growth model for forest management using continuous forest inventory data
Model evaluation should include qualitative as well as quantitative examinations of the model. The qualitative parts should comprise a critical appraisal of model logic as well as theoretical and biological realism of the model. The quantitative parts should comprise statistical tests and comparison...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
1995
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/17635 |
| _version_ | 1855534009063309312 |
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| author | Soares, P. Torne, M. Skovsgaard, J.P. Vanclay, J.K. |
| author_browse | Skovsgaard, J.P. Soares, P. Torne, M. Vanclay, J.K. |
| author_facet | Soares, P. Torne, M. Skovsgaard, J.P. Vanclay, J.K. |
| author_sort | Soares, P. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Model evaluation should include qualitative as well as quantitative examinations of the model. The qualitative parts should comprise a critical appraisal of model logic as well as theoretical and biological realism of the model. The quantitative parts should comprise statistical tests and comparisons of predictions with observations independent of those used to fit the model. Comprehensive model evaluation requires several alternative approaches and criteria. Model evaluation is not one simple procedure, but consists of a number of interrelated steps that should not be separated from each other or from model construction. It is stressed that models can only be evaluated in relative terms, and their predictive value is always open to question. Thus, model evaluation is an ongoing process. A case study with the PBRAVO growth model for maritime pine (Pinus pinaster Ait.) in the Leiria forest, Portugal, illustrates the utility of selected criteria and graphical techniques. Based on theoretical examinations and tests with data from continuou forest inventories, we conclude that the Leiria version of the PBRAVO model does not adequately represent reality and that forecasts lack sufficient accuracy for forest management purposes. |
| format | Journal Article |
| id | CGSpace17635 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 1995 |
| publishDateRange | 1995 |
| publishDateSort | 1995 |
| record_format | dspace |
| spelling | CGSpace176352025-01-24T14:20:13Z Evaluating a growth model for forest management using continuous forest inventory data Soares, P. Torne, M. Skovsgaard, J.P. Vanclay, J.K. evaluation growth models forest management forest inventories Model evaluation should include qualitative as well as quantitative examinations of the model. The qualitative parts should comprise a critical appraisal of model logic as well as theoretical and biological realism of the model. The quantitative parts should comprise statistical tests and comparisons of predictions with observations independent of those used to fit the model. Comprehensive model evaluation requires several alternative approaches and criteria. Model evaluation is not one simple procedure, but consists of a number of interrelated steps that should not be separated from each other or from model construction. It is stressed that models can only be evaluated in relative terms, and their predictive value is always open to question. Thus, model evaluation is an ongoing process. A case study with the PBRAVO growth model for maritime pine (Pinus pinaster Ait.) in the Leiria forest, Portugal, illustrates the utility of selected criteria and graphical techniques. Based on theoretical examinations and tests with data from continuou forest inventories, we conclude that the Leiria version of the PBRAVO model does not adequately represent reality and that forecasts lack sufficient accuracy for forest management purposes. 1995 2012-06-04T09:02:17Z 2012-06-04T09:02:17Z Journal Article https://hdl.handle.net/10568/17635 en Soares, P., Torne, M., Skovsgaard, J.P., Vanclay, J.K. 1995. Evaluating a growth model for forest management using continuous forest inventory data . Forest Ecology and Management 71 (3) :251-265. ISSN: 0378-1127. |
| spellingShingle | evaluation growth models forest management forest inventories Soares, P. Torne, M. Skovsgaard, J.P. Vanclay, J.K. Evaluating a growth model for forest management using continuous forest inventory data |
| title | Evaluating a growth model for forest management using continuous forest inventory data |
| title_full | Evaluating a growth model for forest management using continuous forest inventory data |
| title_fullStr | Evaluating a growth model for forest management using continuous forest inventory data |
| title_full_unstemmed | Evaluating a growth model for forest management using continuous forest inventory data |
| title_short | Evaluating a growth model for forest management using continuous forest inventory data |
| title_sort | evaluating a growth model for forest management using continuous forest inventory data |
| topic | evaluation growth models forest management forest inventories |
| url | https://hdl.handle.net/10568/17635 |
| work_keys_str_mv | AT soaresp evaluatingagrowthmodelforforestmanagementusingcontinuousforestinventorydata AT tornem evaluatingagrowthmodelforforestmanagementusingcontinuousforestinventorydata AT skovsgaardjp evaluatingagrowthmodelforforestmanagementusingcontinuousforestinventorydata AT vanclayjk evaluatingagrowthmodelforforestmanagementusingcontinuousforestinventorydata |