Using hybrid physiological/mensurational modelling to predict site index of Pinus sylvestris L. in Sweden: a pilot study

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dc.contributor.authorMason EG
dc.contributor.authorHolmström E
dc.contributor.authorNilsson U
dc.date.accessioned2017-11-06T20:43:41Z
dc.date.available2017-11-06T20:43:41Z
dc.date.issued2017en
dc.date.updated2017-07-18T21:50:30Z
dc.description.abstractPrecision and bias of a model designed to predict site index of Scots pine (P. sylvestris L.) from site variables in Sweden were tested using data from 1985 inventory plots. The model was biased and relatively imprecise with a standard error of 3.7 m. A new model was constructed using a fitting subset of the data, employing the sum of mean monthly estimates of photosynthetically active radiation modified by local monthly climatic conditions as a primary independent variable. The best model used a day-time temperature modifier to calculate potential radiation use efficiency. Modifiers for vapour pressure deficit and soil water did not add significantly to the model. Elevation and distance to the sea added small but significant improvements to the predictions. Phytometer indicators of nutritional fertility also slightly improved the fit. The final model had a standard error of 2.06 m for predictions of site index that ranged from 18-30 m at age 100. When applied to a validation subset of plots the model displayed a standard error of 2.09 m and very similar residual patterns to those observed during fitting. The new model represents a significant improvement over the older model, and further improvements may be feasible when historical climatic estimates and a higher resolution digital elevation model become available.en
dc.identifier.citationMason EG, Holmström E, Nilsson U (2017). Using hybrid physiological/mensurational modelling to predict site index of Pinus sylvestris L. in Sweden: a pilot study. Scandinavian Journal of Forest Research. 1-8.en
dc.identifier.doihttps://doi.org/10.1080/02827581.2017.1348539
dc.identifier.issn0282-7581
dc.identifier.issn1651-1891
dc.identifier.urihttp://hdl.handle.net/10092/14591
dc.language.isoen
dc.subjectSite indexen
dc.subjectMensurationen
dc.subjectTree physiologyen
dc.subjectEcophysiologyen
dc.subjectScots pineen
dc.subject.anzsrcFields of Research::30 - Agricultural, veterinary and food sciences::3007 - Forestry sciences::300707 - Forestry management and environmenten
dc.subject.anzsrcFields of Research::30 - Agricultural, veterinary and food sciences::3007 - Forestry sciences::300708 - Forestry product quality assessmenten
dc.subject.anzsrcFields of Research::31 - Biological sciences::3103 - Ecology::310303 - Ecological physiologyen
dc.titleUsing hybrid physiological/mensurational modelling to predict site index of Pinus sylvestris L. in Sweden: a pilot studyen
dc.typeJournal Articleen
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