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- W2325255514 abstract "Abstract Site index prediction models for Norway spruce (Picea abies (L.) Karst.) and Scots pine (Pinus sylvestris L.) were developed using Norwegian National Forest Inventory data. A number of multiple linear regression models with different combinations of site and climate variables were developed in order to facilitate their application to a range of situations where the accessibility of various explanatory data differs. The best models used year of stand origin, temperature sum, vegetation type groups, soil depth, aspect, slope and latitude to predict site index. These models explained a large part of the total variation ( = 0.86 and 0.72 for spruce and pine, respectively) and had little residual variation (RMSE = 2.04 and 1.95 m for spruce and pine, respectively). Alternative models using only year of stand origin, temperature sum and vegetation type groups, or soil depth in addition, had slightly lower but still useful predictive power. All the developed models exhibited a strong non-linear effect o..." @default.
- W2325255514 created "2016-06-24" @default.
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- W2325255514 date "2012-10-01" @default.
- W2325255514 modified "2023-09-27" @default.
- W2325255514 title "Site index prediction from site and climate variables for Norway spruce and Scots pine in Norway" @default.
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- W2325255514 doi "https://doi.org/10.1080/02827581.2012.685749" @default.
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